Hong, Choi*, and Jeong*: Health Outcomes Associated with Hypolipidemia: a Scoping Review
Abstract
Objective:
This review summarizes current evidence on the possible effects of hypolipidemia, a state of low concentration of blood lipids, on health outcomes.
Methods:
A review was conducted of articles published across 5 electronic databases (PubMed, EMBASE, Cochrane Central Resister of Controlled Trials, RISS, and ScienceON). Prospective and retrospective clinical studies were included.
Results:
In total, 84 studies were assessed. Depending on the subtypes of hypolipidemia, hypocholesterolemia and hypobetalipoproteinemia were associated with severity of liver disease and sepsis, mortality of COVID-19, and prevalence of cancer and mental illness. Hypoalphalipoproteinemia showed similar findings but was also associated with cardiovascular and cerebrovascular disease.
Conclusions:
Hypolipidemia may mediate lipid metabolism in the liver, immune activation, metabolic function, and recovery, contributing to disease severity and mortality. This highlights the need to monitor and assess hypolipidemia in patients with specific health conditions, as well as incorporate treatment plans accordingly.
Keywords: hypolipidemia, cholesterol, health outcomes, scoping review
I. Introduction
Dyslipidemia is a metabolic disorder characterized by abnormally elevated or reduced levels of one or more blood lipids, including low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and triglycerides (TG) 1. It is widely recognized as a major contributor to complications such as atherosclerosis, metabolic syndrome, hepatic dysfunction, ischemic heart disease, and stroke. Additionally, dyslipidemia can limit activities of daily life (ADL), quality of life (QoL), and increase mortality 2. In 2006, the Medical Subject Headings (MeSH) database replaced “hyperlipidemia” with “dyslipidemia,” reflecting extensive evidence since the 1980s linking HDL-C deficiency to various complications and mortality.
Hypolipidemia, defined as decreased blood lipid levels, lacks a universally accepted definition and reference levels. Previous studies have suggested that total cholesterol (TC) levels <150 mg/dL and LDL-C levels <70 mg/dL are indicative of hypolipidemia, though these thresholds vary among researchers 1-3. Primary hypolipidemia is a genetic disorder, including familial hypobetalipoproteinemia (FHBL), which can be further categorized into FHBL-SD1 (abetalipoproteinemia, ABL) caused by MTTP gene deficiency, FHBL-SD2 due to APOB gene deficiency, FHBL-EC1 (familial combined hypolipidemia, FCHL) associated with ANGPTL3 gene deficiency, and FHBL-EC2 linked to PCSK9 gene deficiency. Lecithin-cholesterol acyltransferase deficiency (LCAT) combines hypoalphalipoproteinemia and hypertriglyceridemia. Secondary hypolipidemia may arise from number of circumstances, such as nutritional deficiencies, malabsorption, anemia, neoplasms, liver disease, heart failure, hyperthyroidism, severe infections, chronic inflammation, or medication use. Drug-induced hypolipidemia may also be exacerbated by individual genetic factors 4.
Clinically, blood lipid levels are associated with immunological status in infections, neoplasms, and sepsis, and are influenced by nutrition and liver function, which in turn affect cardiovascular (CV) health. Lowering LDL-C and increasing HDL-C are known to reduce the risk of stroke; however, the long-term effects and target serum concentrations require further investigation. Previous research indicates a U-shaped mortality rate concerning blood lipid levels, with CV disease risk increasing in higher quantiles and non-CV disease risk in lower quantiles 5. Bandyopadhyay 6 have reported findings suggesting that maintaining excessively low LDL-C levels due to hyperlipidemia management may elevate the risk of CV disease. Given the potential for a non-linear relationship between serum lipid levels and health outcomes, there is ongoing debate regarding the benefits of hypolipidemia. Therefore, synthesizing current clinical research data to identify health outcomes requiring further investigation is essential.
From the perspective of Korean medicine, hypolipidemia can be understood within the category of the Deficiency syndromes (虛證), which is recognized as a medical condition frequently observed in chronic disease patients, long-term hospitalization, nutritional deficiencies, and elderly patients. Although dyslipidemia has asymptomatic nature and was not described in traditional Korean Medicine textbooks, previous study demonstrated that hypolipidemic state of stroke patients is related with the Deficiency syndrome rather than the Excessive syndrome (實證) 7,8. Dyslipidemia, CV diseases, and diabetes are described as results of the weakened states of the Liver, Heart, Spleen, and Kidneys (肝, 心, 脾, 腎), leading to various health outcomes through the relationship of the Root deficiency and manifest excess (本虛標實) 9. Following those concepts, hypolipidemia which belong to dyslipidemia can similarly be understood within pathology of Qi Blood Yin Yang Deficiency (氣血陰陽虛損). This perspective provides a theoretical basis for understanding the health outcomes associated with hypolipidemia as a decline in immune and lipid metabolic functions in modern Korean medicine.
Herbal medicine in Korean medicine has advantages employing its personalized approach based on syndrome differentiation, pathogenesis, and a multicomponent-multitarget mechanism 10. This approach is not only rooted in historical literature but is also widely applied to various chronic and metabolic diseases in modern Korean medicine. Herbal medicine has already been utilized clinically for dyslipidemia, with numerous evidence reported. Previous studies, Mehraban 11 have documented the lipid-lowering effects of plant oils and phytosterols on dyslipidemia, while Fang 12 conducted a systematic review of 76 clinical trials, demonstrating that the administration of herbal medicine for dyslipidemia showed significant effects without adverse reactions.
Therefore, it is anticipated that Korean medicine may play a crucial clinical role in improving health outcomes related to hypolipidemia and in preventing complications and side effects. As highlighted in existing literature, hypolipidemia observed in clinical practice may influence treatment duration, prognosis, health outcomes, and readmission rates compared to patients without this condition. Thus, it is essential to explore the extent of these impacts through literature review, identify relevant characteristics, and propose future research directions.
This study is designed as a scoping review, conducting a literature review of clinical research which aimed to collect health outcomes such as mortality and complications, associated with hypolipidemic states of patients, while also examining differences based on the subtype of blood lipid and patient characteristics. The findings will serve as preliminary data for future systematic literature reviews or analyses of healthcare databases.
II. Methods
The study was conducted by referring to methodological procedures and recommendations for scoping literature reviews proposed by Arksey and O’Malley 13, Levac et al. 14, as well as the checklists provided by the PRISMA and JBI groups 15. A comprehensive review of clinical studies that satisfied the inclusion criteria was conducted, on the basis of the following research questions.
1. Research Questions
This study aimed to determine whether there is a need to improve the state of hypolipidemia, and thus, the following two research questions were established:
1) “What health outcomes (complications, hospitalization, mortality, etc.) are associated with patients in a hypolipidemic state?”
2) “Which demographic and medical characteristics (comorbidities, physio-pathological parameters, medications, etc.) of hypolipidemic patients influence health outcomes?”
2. Search Strategy
Three English databases (MEDLINE, Embase, Cochrane CENTRAL) and two Korean databases (RISS, ScienceON) were selected for the search, and all the searches ended in February 2025. The search terms included “hypolipidemia”, “hypocholesterolemia” in English and Korean respectively, and bibliographic information was collected using Endnote 21 (Clarivate Analytics, United States). Two authors (S. Hong, D. Choi) independently conducted the search and literature selection. After screening the abstracts, if there were disagreements between the authors, the full texts of the relevant studies were obtained for discussion, and decisions were made through consensus based on their selection or exclusion reasons.
1) Inclusion Criteria
Clinical studies were selected based on the review of abstracts, including randomized controlled trials, prospective clinical studies, retrospective observational or medical record studies, and cross-sectional studies. The published year is restricted from 2005 to 2025, to review focused on updated evidence.
The target study population consisted of patients in a hypolipidemic state. Any hypolipidemia defined from the diagnostic criteria of each study was comprehensively included, since the reference level of hypolipidemia is not currently established so far. No restrictions were placed on the interventions collected. The health outcomes of interest included changes in medication usage involving lipid-lowering agents, complications such as CV disease, cerebrovascular disease, and metabolic syndrome, quality of life, disease severity, hospitalization and mortality differences. Additionally, demographic characteristics of hypolipidemic patients, such as age and sex, as well as medical characteristics including serum lipid levels, medications, and comorbidities, were examined for their additional impact on health outcomes. Factors contributing to the hypolipidemic state (diseases, medications, age, sex, etc.) were also collected.
2) Exclusion Criteria
Research protocols, case reports, and non-clinical studies such as literature reviews and animal or cell experiment studies were excluded. While no specific diseases other than hypolipidemia were restricted, studies that only observed changes in serum lipid levels for genomic analysis aimed at elucidating pathological mechanisms, without collecting other related health outcomes, were excluded. Studies for which the full text was not available or where the study design and outcome data could not be available were also excluded. If the study was published in both abstract presentation and full-length article, the abstract presentation was excluded as duplication.
3. Data extraction and analysis
From the full text of each included studies, two authors (S. Hong, D. Choi) independently extracted the data to predefined characteristics table. The first author’s name, published year, region, study period, sample size was recorded respectively. The study design was classified by using literature classification tool (Study Design Algorithm for Medical Literature of Intervention, DAMI) 16 and methods that the authors had reported in the article. Patients, interventions or exposures, and outcomes were extracted if available and appropriate with the scope of the review. Therefore, outcomes that are irrelevant with research questions were not recorded. Finally, the major findings of each study were characterized by reviewing results and conclusions respectively.
Based on the characteristics data, recategorization with subgroups was conducted to investigate the trend of included studies. Each subgroup was categorized by the subtypes of hypolipidemia, related health condition, and benefit or risk, and was supported by findings from included studies.
III. Results
1. Results of the search
From the five electronic databases, 1,501 articles were identified after excluding duplicate studies. Articles were screened with inclusion criteria, and the full texts of 190 articles were retrieved and evaluated based on the title and abstract. Following browsing full texts of the articles, 106 were excluded including case reports and case series. As a result, eighty-four studies were finally included for this review process and data analysis ( Fig. 1).
Fig. 1
2. Characteristics of the included studies
1) Study design
Three randomized controlled trials were included, and thirty-three other prospective studies including cohort, case-control, and observational studies were identified. Thirty-five retrospective studies including cohort, medical records reviews, observational studies were conducted, and thirteen cross-sectional studies were followed.
2) Topic
The topic of included studies varies in patient’s diseases, subtypes of hypolipidemia, and their benefit or risk on the outcomes. Primary outcomes were mostly overall or all-cause mortality, and disease severity, but also included risk, incidence, prevalence, morbidity of various diseases and conditions as well.
3) Publication year
Publication years were evenly distributed from 2005 to 2025, however, studies of COVID-19 infection newly associated with hypolipidemia since its breakout. The trend is mostly consistent throughout years, but hypobetalipoproteinemia is reported inconsistently the effect on health outcomes.
4) Sample size
Sample size depended on the study design, from 4 to 419,488. The median sample size of all included studies was 226 patients. Eight studies that have samples above 10,000, and ten studies have samples from 1,000 to 10,000, fifty-two studies have samples from 100 to 1,000, and fourteen studies have below 100. By the study designs, median sample size of retrospective studies was the most, followed by RCTs; however, mean sample size of prospective studies was exclusively larger than others, as four prospective studies had sample size more than 10,000. Cross-sectional studies were mostly conducted with fewer than 1,000 samples ( Fig. 2).
Fig. 2
Summary of included studies.
3) Summary of the study topics and the results
(1) Patients
The research topic encompasses a variety of patient conditions, including CV diseases, cerebrovascular diseases, liver diseases, renal failure, various infections, neoplasms, and mental health issues. The subtypes of hypolipidemia considered in the studies include hypobetalipoproteinemia, hypoalphalipoproteinemia, hypocholesterolemia, and hypotriglyceridemia, along with their hereditary aspects.
(2) Intervention or exposure, controls
Most studies included observational research based on serum lipid concentrations rather than interventional studies. However, in cases where interventions were established, research focused on the administration of lipid-lowering agents and vitamin supplementation. Control groups were diverse according to research objectives, utilizing normal serum lipid control groups and external control groups.
(3) Outcomes
Outcome measures primarily included mortality rates, disease severity, risk of complications, prevalence, and incidence rates, with the majority of studies being prognostic observational studies.
This review categorizes the research topics based on the subtypes of hypolipidemia and the corresponding patient conditions, summarized as follows ( Table 1).
Table 1
Study Results of Health Outcomes by Subtypes of Hypolipidemia
Related condition |
Benefit/ risk |
Study ID |
Study results |
A. hypo-LDL-cholesterolemia (hypobetalipoproteinemia) |
cardiovascular disease |
beneficial |
B30, B33 |
reduction in the risk of coronary artery disease cardiovascular protective effect through decreased arterial wall stiffness |
|
neutral |
C33 |
no negative impact in stable patients after acute coronary syndrome |
|
risk |
C10, C23 |
independent, dose-response association with diabetes risk in patients with coronary artery disease undergoing intervention associated with the risk of cardiovascular events |
|
cerebrovascular disease |
beneficial |
D01 |
associated with ischemic stroke and reduction in complications and mortality |
|
neutral |
C25 |
no association with the incidence of intracerebral hemorrhage |
|
hepatic steatosis |
risk |
B01, B15, B17, B22, B33, C08, C14, C25 |
associated with the prevalence of fatty liver disease increased risk and severity of fatty liver disease significantly associated with fatty liver despite lower obesity levels higher incidence of alcoholic liver disease |
|
liver cancer |
risk |
C01 |
associated with the incidence of liver complications, including primary liver cancer |
|
liver cirrhosis |
risk |
B01, B17 |
associated with the prevalence of liver fibrosis |
|
COVID-19 |
risk |
C03, C06, B08, C11 |
associated with severity in COVID-19 patients higher 30-day mortality and associated with inflammatory markers associated with worsening COVID-related acute kidney injury through immune response inhibition and fibrosis |
|
sepsis |
risk |
C34 |
associated with severity in meningococcal sepsis patients |
|
ESRD |
risk |
B31 |
associated with mortality prediction in dialysis patients |
|
diabetes |
risk |
C05 |
independent risk factor for diabetes |
|
cancer |
risk |
B29 |
associated with the incidence of various cancers |
|
mental health |
risk |
C15 |
associated with schizophrenia, autism, hetero-aggression, violent behavior, and impulsivity |
|
B. hypo-HDL-cholesterolemia (hypoalphalipoproteinemia) |
|
cardiovascular disease |
neutral |
A02 |
no significant effect of HDL mimetics in patients with carotid atherosclerosis |
|
risk |
B20, C13, C16, C26, D11, D13 |
risk factor in male patients with myocardial infarction independent predictor of in-hospital mortality in patients with acute coronary syndrome associated with the prevalence of atherosclerotic coronary artery disease associated with risk factors for myocardial infarction increased atherosclerosis index in female college students |
|
cerebrovascular disease |
risk |
B06 |
associated with the risk of stroke recurrence after revascularization in moyamoya disease patients |
|
liver cirrhosis |
risk |
C29 |
associated with severity in patients with cirrhosis and severe sepsis |
|
COVID-19 |
risk |
B04, C03 |
associated with severity in COVID-19 patients |
|
sepsis |
risk |
B07, B19, C29, C30, C34 |
associated with long-term organ failure and poor prognosis significantly associated with disease severity, inflammatory marker and increased mortality associated with severity in patients with severe sepsis, meningococcal sepsis associated with mortality and sepsis risk |
|
inflammation |
risk |
B32 |
associated with inflammatory states |
|
CKD |
risk |
C16 |
associated with the prevalence of renal failure depending on genetic variations |
|
urolithiasis |
risk |
C21 |
increased risk in patients with urinary stones |
|
diabetes |
risk |
B14, D10 |
associated with cognitive impairment in elderly patients with type 2 diabetes threefold increased risk of microvascular complications in patients with type 1 diabetes |
|
obesity |
risk |
B16 |
associated with decreased health-related quality of life scores in obese women |
|
lipid metabolism |
risk |
B26 |
associated with low fecal sterol excretion |
|
hematologic disorder |
risk |
D07 |
associated with increased endothelial injury markers in sickle cell patients |
|
cancer |
risk |
B11, B29, C30 |
associated with the risk of various cancers associated with pediatric leukemia and Hodgkin’s disease associated with the risk of neoplasms |
|
mental health |
risk |
D05 |
associated with increased depressive symptoms and EPDS scores in postpartum women |
|
peripheral polyneuropathy |
risk |
D06 |
associated with peripheral neuropathy |
|
psoriasis |
risk |
B05 |
associated with the incidence of psoriasis |
|
C. hypocholesterolemia |
|
cardiovascular disease |
neutral |
B21 |
no significant impact on the risk of ischemic heart disease |
|
risk |
C10 |
independent, dose-response association with diabetes risk in patients with coronary artery disease undergoing intervention |
|
cerebrovascular disease |
beneficial |
D01 |
protective effect against intracerebral hemorrhage |
|
neutral |
D03 |
no association with hypertensive hemorrhagic stroke |
|
liver cirrhosis |
neutral |
B21 |
risk impact of liver disease is not confirmed |
|
risk |
C35, D08, D09, D12 |
associated with poor prognosis in cirrhosis patients with infection associated with disease progression in patients with cirrhosis associated with severe sepsis in patients with alcoholic cirrhosis associated with the severity of liver dysfunction and Child-Pugh classification in patients with cirrhosis |
|
liver cancer |
risk |
B09 |
increased risk of primary liver cancer |
|
amebic liver abscesses |
risk |
B18 |
associated with the severity of amoebic liver disease |
|
COVID-19 |
risk |
C03, C11, D02 |
associated with severity in COVID-19 patients higher mortality in COVID-19 patients |
|
sepsis |
risk |
C24, C34 |
associated with mortality risk in patients admitted to the intensive care unit with sepsis associated with severity in patients with meningococcal sepsis |
|
surgical site infection |
neutral |
B03 |
no significant effects on the risk of surgical site infections |
|
risk |
B02, B12 |
increased risk of surgical site infections risk factor for surgical site infections and related to nutritional deficiencies |
|
post-surgical complications |
risk |
C09, C17, C20, C22 |
associated with complication rates and survival after gastric cancer surgery independent predictor of in-hospital mortality in patients undergoing emergency surgery for diffuse peritonitis significantly higher in-hospital mortality in patients undergoing emergency gastrointestinal surgery for intra-abdominal sepsis potential predictor of decreased survival after emergency surgery for abdominal aortic aneurysm |
|
trauma |
neutral |
C27 |
reduction in mechanical ventilation and mortality in trauma patients |
|
risk |
C32 |
associated with increased mortality risk in patients with multiple severe trauma |
|
ICU inpatient |
risk |
B24 |
associated with early mortality in patients admitted to the intensive care unit |
|
AKI |
risk |
B27 |
higher mortality in patients with acute kidney injury admitted to the intensive care unit |
|
HD patients |
risk |
C07 |
associated with decreased systemic vascular responsiveness and blood pressure reduction in dialysis patients |
|
drug-induced hypolipidemia |
risk |
A01 |
no effect on mortality despite reduced emergency room visits due to dyslipidemia prevention guidance with lipid-lowering agents |
|
hematologic disorder |
risk |
C31, B28, D07 |
independent association with decreased survival in patients with myelodysplastic syndromes associated with intravascular hemolysis and vascular dysfunction in sickle cell patients associated with increased endothelial injury markers in sickle cell patients |
|
cancer |
neutral |
B21, C18 |
risk impact of tumors is not confirmed no association with postoperative pain in patients undergoing laparoscopic surgery for primary colorectal cancer |
|
risk |
B29, C02, C09 |
associated with pediatric leukemia and Hodgkin’s disease associated with the risk of early mortality in pediatric patients with hemophagocytic lympho-histiocytosis associated with complication rates and survival after gastric cancer surgery |
|
mental health |
risk |
B13, C12 |
associated with depressive disorders and suicide attempts potential association between autism spectrum disorder and intellectual disability |
|
HIV |
risk |
B23 |
inhibits the effectiveness of HAART treatment in HIV patients |
|
myelofibrosis |
risk |
A03 |
ruxolitinib treatment in patients with myelofibrosis is associated with changes in total cholesterol and increased survival |
|
Takayasu arteritis |
risk |
C19 |
identified as the sole predictor of recurrence in Takayasu arteritis patients |
|
TB |
risk |
D04 |
associated with the duration of treatment in patients with pulmonary tuberculosis |
|
wasp sting |
risk |
C04 |
associated with severity in patients with wasp stings |
|
D. hypotriglyceridemia |
|
ischemic stroke |
neutral |
B10 |
no impact on the severity and prognosis of acute ischemic stroke |
|
liver cirrhosis |
risk |
D12 |
associated with the severity of liver dysfunction and Child-Pugh classification |
|
COVID-19 |
risk |
C03 |
associated with severity and prevalence |
4. Details of the study topics and the results
1) hypo-LDL-cholesterolemia (hypobetalipoproteinemia)
In the realm of CV disease, low LDL-C is associated with a reduction in the risk of coronary artery disease B30 and a CV protective effect through decreased arterial wall stiffness B33. Moreover, it shows no negative impact in stable patients following acute coronary syndrome C33. However, there exists an independent, dose-response association with diabetes risk in patients with coronary artery disease undergoing intervention C10, as well as an association with the risk of CV events C23. Regarding cerebrovascular disease, low LDL-C is beneficial as it is associated with ischemic stroke and a reduction in complications and mortality D01.
In the context of liver diseases, low LDL-C is linked to several risks. It is associated with the incidence of primary liver cancer C01, and the prevalence of liver fibrosis in cirrhotic patients B01, B17. Furthermore, it correlates with hepatic steatosis, indicating an increased risk and severity of fatty liver disease significantly associated with fatty liver despite lower obesity levels B01, B15, B17, B22, B33, C08, and a higher incidence of alcoholic liver disease C14, C25. The implications of low LDL-C extend to COVID-19, where it is associated with increased severity in patients C03, C11, higher 30-day mortality C06, and an association with inflammatory markers. Additionally, it is linked to worsening COVID-related acute kidney injury through immune response inhibition and fibrosis B08.
Other risk associations include end-stage renal disease (ESRD), where low LDL-C is associated with mortality in dialysis patients B31, and diabetes C05, where it is identified as an independent risk factor. Low LDL-C is also associated with the incidence of various cancers B29 and the severity of meningococcal sepsis C34. Finally, mental health outcomes are impacted as well, with associations found between low LDL-C and conditions such as schizophrenia, autism, hetero-aggression, violent behavior, and impulsivity C15 ( Table 1-A).
2) hypo-HDL-cholesterolemia (hypoalphalipoproteinemia)
In the domain of CV disease, low HDL-C is identified as a risk factor in male patients with myocardial infarction B20 and serves as an independent predictor of in-hospital mortality in patients with acute coronary syndrome C13. Low HDL-C is associated with the prevalence of atherosclerotic coronary artery disease and risk factors for myocardial infarction C16, C26, D11, and similarly, is linked to an increased atherosclerosis index in female college students D13. Within cerebrovascular disease, low HDL-C is associated with an increased risk of stroke recurrence, particularly in patients with moyamoya disease following revascularization B06.
In liver cirrhosis, it is associated with severity in patients suffering from both cirrhosis and severe sepsis C29. The implications of low HDL-C extend to COVID-19, where it is associated with increased severity in affected patients B04, C03. Sepsis is another critical area, where low HDL-C is associated with long-term organ failure, poor prognosis B07, B19, C29, and increased mortality C30, particularly in patients with severe sepsis and meningococcal sepsis C34. Moreover, low HDL-C is connected to inflammatory states B32.
Additionally, in chronic kidney disease (CKD), it is linked with the prevalence of renal failure, influenced by genetic variations C16. The risk of urolithiasis is also increased in patients with low HDL-C C21, while diabetes is linked to cognitive impairment in elderly patients with type 2 diabetes B14 and presents a threefold increased risk of microvascular complications in patients with type 1 diabetes D10. Obesity is another area of concern, as low HDL-C is associated with decreased health-related quality of life scores in obese women B16, and lipid metabolism issues particularly low fecal sterol excretion B26. In hematologic disorders, low HDL-C correlates with increased endothelial injury markers in sickle cell patients D07. Cancer risk is significantly impacted as well, with low HDL-C associated with various cancers B11, including pediatric leukemia and Hodgkin’s disease B29, as well as the overall risk of neoplasms C30. In the context of mental health outcomes reveal an association with heightened depressive symptoms and elevated EPDS scores in postpartum women D05. It is also associated with peripheral polyneuropathy and the incidence of psoriasis B05 ( Table 1-B).
3) hypocholesterolemia
In the context of CV disease, low cholesterol level showed no significant impact on the risk of ischemic heart disease B21. However, it is identified as an independent, dose-response risk factor for diabetes in patients with coronary artery disease undergoing intervention C10. Within cerebrovascular disease, low cholesterol level exhibits beneficial effects, particularly a protective effect against intracerebral hemorrhage D01, while barely associated with hypertensive hemorrhagic stroke in the other study D03.
In liver-related conditions, the risk impact of low total cholesterol on liver cirrhosis remains unconfirmed B21; however, it is associated with poor prognosis C35, disease progression D08, and severe sepsis in patients with alcoholic cirrhosis D09. Additionally, low cholesterol level is linked to the severity of liver dysfunction and Child-Pugh classification in cirrhosis patients D12. Furthermore, it presents an increased risk of primary liver cancer B09 and is associated with the severity of amoebic liver disease B18. The implications of low cholesterol extend to COVID-19, where it is associated with increased severity and mortality in patients C03, C11, D02. In sepsis, low cholesterol is linked to mortality risk and severity C24, especially in patients admitted to the intensive care unit and those with meningococcal sepsis C34. Regarding surgical site infections, low cholesterol is associated with increased risk and nutritional deficiencies as a risk factor for surgical site infections B02, B12. Post-surgical complications are notably influenced by hypocholesterolemia, as it is associated with complication rates and survival after gastric cancer surgery C09 It serves as an independent predictor of in-hospital mortality in patients undergoing emergency surgery for diffuse peritonitis C17 and is linked to significantly higher in-hospital mortality in emergency gastrointestinal surgeries for intra-abdominal sepsis C20, as well as being a potential predictor of decreased survival after emergency surgery for abdominal aortic aneurysm C22. In trauma patients, low cholesterol level was not affected a reduction in mechanical ventilation and mortality C27, yet it is associated with increased mortality risk in patients with multiple severe traumas C32. Among ICU inpatients, low cholesterol is linked to early mortality B24.
In acute kidney injury (AKI), low cholesterol level correlates with higher mortality in patients admitted to the intensive care unit B27. In dialysis patients, it is linked to decreased systemic vascular responsiveness and blood pressure reduction C07. Hematologic disorders reveal a concerning association, as low cholesterol level is linked to decreased survival in patients with myelodysplastic syndromes C31 and associated with intravascular hemolysis B28 and increased endothelial injury markers in sickle cell patients D07. Cancer outcomes demonstrate a neutral impact regarding tumors, as the risk is not confirmed in some contexts B21, such as postoperative pain following laparoscopic surgery for primary colorectal cancer C18. However, low cholesterol level is associated with pediatric leukemia, Hodgkin’s disease B29, and increased risk of early mortality in pediatric patients with hemophagocytic lympho-histiocytosis C02. It is also linked to complication rates and survival after gastric cancer surgery C09. Mental health was affected as well, with associations between low cholesterol level and depressive disorders, suicide attempts B13, and potential connections to autism spectrum disorder and intellectual disability C12. In HIV patients, it inhibits the effectiveness of HAART treatment B23. For myelofibrosis, ruxolitinib treatment is associated with changes in total cholesterol and improved survival outcomes in patients A03. For Takayasu arteritis, it is identified as the sole predictor of recurrence C19. Finally, Low cholesterol level is also associated with the duration of treatment in patients with pulmonary tuberculosis D04 and the severity of wasp stings C04 ( Table 1-C).
4) hypotriglyceridemia
In the context of ischemic stroke, low triglycerides level has a neutral effect, as it demonstrates no impact on the severity and prognosis of acute ischemic stroke. This finding suggests that while triglycerides level may fluctuate, they do not significantly alter the clinical outcomes in these patients B10.
Conversely, in liver cirrhosis, low triglycerides level is associated with increased severity of liver dysfunction and correlates with the Child-Pugh classification. This relationship indicates that lower triglycerides level may reflect or contribute to the deterioration of liver function, highlighting the need for careful monitoring of lipid profiles in patients with liver disease D12.
Additionally, in the realm of COVID-19, low triglycerides level is linked to both severity and prevalence of the disease. This association raises important considerations regarding the role of lipid metabolism in the immune response and disease progression in COVID-19 patients C03. ( Table 1-D)
5. Summary of the study designs and the results
1) RCTs
Only three studies have been conducted and have applied interventions for hypolipidemia to assess health outcomes, including mortality. Among them, one unique RCT that utilized alert emails for hypolipidemia as an intervention and collected data from over 3,000 participants to compare differences in mortality and emergency room admission rates. The remaining two RCTs were conducted with sample sizes ranging from approximately 30 to 300 participants, and they observed changes in health outcomes related to the improvement of hypolipidemia itself, as well as atherosclerosis and mortality rates, through interventions such as HDL mimetics or targeted chemotherapy agents.
2) Prospective studies
A total of 33 studies measured baseline lipid profiles for various medical conditions, selecting either hypolipidemia or specific exposures as a comparator to observe health outcomes, complications, and prognoses over periods ranging from as short as 1 year to as long as 10 years. However, due to the prospective enrollment and observation methodology, most of these studies had sample sizes of less than 1,000 participants, with a median of 172, which was the smallest among the study designs. Health outcomes measured included changes in blood lipids, mortality, morbidity, disease severity, and length of hospitalization.
3) Retrospective studies
A total of 35 studies have tracked long-term health outcomes, complications, and prognoses for various health conditions over periods ranging from mostly 1-5 years, up to 15 years. Due to the retrospective methodologies, most studies collected large sample sizes, ranging from 100 to 10,000 participants, with a median of 674, which was the largest among the study designs. Health outcomes primarily included mortality, length of hospitalization, biochemical markers, and incidence such as cardiovascular events.
4) Cross-sectional studies
Thirteen studies compared health conditions at a specific point in time with the presence of hypolipidemia, reporting differences in health outcomes without employing interventions or exposures. The sample sizes were mostly under 1,000, like those in prospective studies. Health outcomes primarily focused on changes in serum lipids and biochemical markers ( Table 2).
Table 2
Study Characteristics by Study Designs
ID |
Author (year) |
Design |
Region |
Periods |
Sample size |
Criteria of hypolipidemia |
Patients |
Interventions Exposures |
Outcomes |
Results |
A. Randomized controlled trials |
|
A01 |
Tsabar (2020) |
Randomized controlled trial |
Israel |
September 2015 to November 2016 |
1. 1,791 2. 1,804 |
TC<160 mg/dl |
drug-induced hypocholesterolemia |
1. patient-specific reminder e-mail letter (sent to the clinic staff) 2. control (no letter) |
1. annual death rate from any cause 2. changes in 1) dispensed cholesterol-lowering drugs doses 2) total drug use 3) emergency department visit rate. |
The prevention guidance for hypolipidemia in patients taking lipid-lowering agents reduced emergency room visit rates but had no impact on mortality. |
|
A02 |
Zheng (2020) |
Randomized controlled trial phase 3 |
Multi-center |
December 2015 to October 2017 |
1. 20 2. 10 |
1) HDL-C≤0.9 mmol/L 2) ApoAI≤1.1 g/L |
carotid atherosclerosis with primary HBL |
1. CER-001 2. placebo treatment |
1. 3T-MRI at baseline, weeks 8, 24 and 48 for carotid mean vessel wall area measurements 2. F-FDG PET/CT : 18F-FDG uptake in the common carotid arteries |
In patients with carotid atherosclerosis and low HDL-C, the administration of HDL mimetics showed no significant effects. |
|
A03 |
Mesa (2012) |
Randomized controlled trial |
US |
N/A |
1. 155 2. 154 |
TC<150 mg/dl |
myelofibrosis |
1. ruxolitinib 2. placebo |
1) Body weight 2) Total serum cholesterol 3) overall survival |
Ruxolitinib treatment in patients with myelofibrosis is associated with changes in TC and increased survival rates. |
|
B. Prospective studies |
|
B01 |
Smati (2025) |
Prospective observational study |
France |
N/A |
104 |
LDL-C<5th percentile |
primary HBL |
Lipid profiles |
1) liver steatosis, detected with FibroScan 2) BMI, DM, elevated plasma TG concentrations, presence of pathogenic ApoB variant |
Low HDL-C is associated with the prevalence of fatty liver disease and liver fibrosis. |
|
B02 |
Wani (2024) |
Prospective observational study |
India |
January 2023 to March 2024 |
100 |
1) TC<100 mg/dl 2) TG≤160 mg/dl 3) HDL-C≤40 mg/dl |
surgical site infection |
elective or emergency surgeries |
serum albumin, TG, TC, HDL levels |
Hypolipidemia and hypocholesterolemia increase the risk of infections in surgical site patients. |
|
B03 |
Paliwal (2023) |
Prospective observational study |
India |
February 2023 to September 2023 |
150 |
TC<100 mg/dl |
post-surgical infection |
1) elective surgery : inguinal hernia surgery, appendectomy and colorectal surgery, cholecystectomy, breast surgeries and other major elective procedures 2) CBC, LFT, Lipid profile, bleeding time, clotting time, urine examination, chest x-ray and ECG |
1) the duration of surgery & number of hospitalization days 2) Any surgical site infection 3) wound condition was graded according to the Southampton Wound Grade system 4) variables related with postoperative complications (albumin, TG, TC, HDL, etc) |
The impact of hypolipidemia on surgical site infections was not observed and was influenced by hypoalbuminemia. |
|
B04 |
Parra (2023) |
Prospective observational study |
Spain |
March to June 2020 |
125 |
N/A |
COVID-19 |
lipid profile : HDL-C, LDL-C |
1) comorbidities, CV risk factors 2) WHO classification was applied to grade the severity of illness 3) all-cause mortality |
Low HDL-C is associated with the severity of COVID-19. |
|
B05 |
Xiao (2022) |
Prospective cohort study |
UK |
2006 to 2010 |
1. 2,796 2. 416,692 |
1) HDL-C<1.0 mmol/L (men) 2) HDL-C<1.3 mmol/L (women) |
1. psoriasis 2. no psoriasis |
serum lipid concentrations |
the risk of incident psoriasis |
Low HDL-C and hypertriglyceridemia are associated with the incidence of psoriasis. |
|
B06 |
Yu (2022) |
Prospective case-control study |
China |
July to December 2019 |
123 |
HDL-C<0.9 mmol/L |
Moyamoya disease |
1) Direct bypass and combined bypass 2) Serum HDL levels |
1) Recurrent stroke: Follow-up accidents concluded transient ischemia attack, ischemic stroke, hemorrhagic stroke, and loss of life. 2) The mRS was to assess the neurological status |
Low HDL-C is linked to the risk of stroke recurrence after revascularization in moyamoya disease patients. |
|
B07 |
Guirgis (2021) |
Prospective cohort study |
US |
November 2016 to June 2018 |
172 |
N/A |
Sepsis |
1) TC, HDL-C, TG, LDL-C levels 2) dys-HDL measured via HII, PON-1, ApoA-I, inflammatory biomarkers, endothelial markers |
1) early death within 2 weeks 2) CCI (ICU stay>14 days with organ dysfunction or discharged to long-term care) 3) rapid recovery |
Low HDL-C in septic patients is associated with long-term organ failure and poor prognosis. |
|
B08 |
Henry (2021) |
Prospective observational study |
US |
N/A |
1. 50 2. 30 |
1) LDL-C<50 mg/dl 2) TC<120 mg/dl |
COVID-19 1. RT-PCR confirmed 2. matched sick controls with RT-PCR negative |
HDL-C, LDL-C, TG, and TC |
1) severe AKI during course of illness, defined as KDIGO Stage 2 and 3 2) need for hospitalization or ICU admission within 30 days of index ED presentation |
Low LDL-C in COVID patients is associated with worsening COVID-related acute kidney injury through immune response inhibition and fibrosis. |
|
B09 |
Ma (2021) |
Prospective cohort study |
China |
2006 to 2007 |
98,936 |
TC<4.14 mmol/L |
PLC |
1) normal FBG & non-hypocholesterolemia 2) normal FBG & hypocholesterolemia 3) elevated FBG & non-hypocholesterolemia 4) elevated FBG & hypocholesterolemia |
1) The annual human incidence of PLC 2) The accumulative incidence of PLC |
Patients with primary liver cancer and impaired fasting glucose in the low cholesterol group had a higher risk of primary liver cancer compared to the control group. |
|
B10 |
Ziroǧlu (2021) |
Prospective observational study |
Turkey |
January 2012 to October 2014 |
564 |
TG<50 mg/dl |
acute ischemic stroke |
TG, TC, HDL-C, and LDL-C |
1) NIHSS scores 2) mortality in hospital, recurrent stroke 3) mRS scores |
Low TG levels in acute ischemic stroke patients had no effect on stroke severity and prognosis. |
|
B11 |
Pedersen (2020) |
Prospective cohort study |
Denmark |
1991 to 1994, 2003 to 2015 |
116,728 |
HDL-C<1.0 mmol/L |
general population |
HDL-C and ApoA1 |
Cancer endpoints : All cancer diagnoses (ICD-7 : 140-205 and ICD-10: C00-D09) |
Low HDL-C is associated with the risk of various cancers. |
|
B12 |
Manjunath (2018) |
Prospective cohort study |
India |
January 2017 to August 2017 |
217 |
TC<160 mg/dl |
open elective hernia repairs with mesh placement |
1) TC levels, serum Albumin 2) Antibiotic prophylaxis of Inj. Ceftriaxone 1g i.v. |
SSI : defined according to CDC criteria |
Hypocholesterolemia appears to be a risk factor for surgical site infections and is related to nutritional deficiencies. |
|
B13 |
Segoviano- Mendoza (2018) |
Prospective case-control study |
Mexico |
June 2015 to December 2016 |
1. 261 2. 206 |
TC<150 mg/dl |
1. MDD adult patients 2. healthy adult volunteer controls |
TC, HDL-C, LDL-C and TG |
1) the risk of MDD 2) suicide behaviors |
Low cholesterol levels are associated with depressive disorders and suicide attempts. |
|
B14 |
Bruce (2017) |
Prospective observational study |
Austrailia |
1993 to 1996, 2008 to 2011 |
217 |
N/A |
type 2 DM |
1. FSG, HbA1c 2. serum lipids : HDL-C |
A score≥27/30 on the MMSE identified normal cognition and a lower score led to an assessment with the CDR |
Midlife low HDL-C is associated with cognitive impairment in elderly patients with type 2 diabetes. |
|
B15 |
Di Costanzo (2017) |
Prospective cohort study |
Italy |
N/A |
1. 130 2. 220 |
1) TC<5th percentile 2) LDL-C<5th percentile |
1. hypocholesterolemic subjects 2. normo-cholesterolemic controls |
ALT, AST, plasma lipids : LDL-C levels, non-HDL-C, ApoB and ApoAI |
The presence of hepatic steatosis was determined by ultrasound examination |
The prevalence of fatty liver disease is associated with familial HBL. |
|
B16 |
Chen (2014) |
Prospective cohort study |
Taiwan |
January 2010 to December 2010 |
1. 50 2. 177 |
1) HDL-C<40 mg/dl 2) HDL-C<50 mg/dl |
1. obese women 2. control |
HDL-C level 1. HDL-C<40 mg/dl 2. HDL-C>=40 mg/dl |
1) HRQoL : self-administered life quality questionnaires and brief version of the WHOQOL-BREF 2) the levels of obesity-related hormone peptides, including leptin, insulin, ghrelin, and adiponectin |
Low HDL-C is associated with decreased health-related quality of life scores in obese women. |
|
B17 |
Di Filippo (2014) |
Prospective cohort study |
Europe and North Africa |
N/A |
1. 7 2. 7 |
1) LDL-C<5th percentile 2) ApoB<5th percentile |
1. ABL 2. familial HBL |
N/A |
1) LFT 2) ultrasound transient elastography using FibroScan® 3) liver biopsy |
In primary hypolipidemia, the risk of fatty liver and liver fibrosis is high, necessitating genetic screening in patients with fatty liver. |
|
B18 |
Flores (2014) |
Prospective case-control study |
Mexico |
2002 to 2011 |
1. 108 2. 140 |
TC <100 mg/dl |
1. ALA 2. healthy volunteers |
1) standard treatment : antibiotics and supportive care 2) TC and TG |
1) size, number, and localization of the amebic abscesses 2) days of hospital stay |
Hypocholesterolemia is associated with the severity of ALA. |
|
B19 |
Lekkou (2014) |
Prospective observational study |
Greece |
N/A |
50 |
N/A |
severe sepsis |
TC, TG and HDL-C, LDL-C |
1) inflammatory markers : TNF-α and IL-10, IL-6 and IL-8, TGF-β1, CRP 2) mortality |
Low HDL-C in patients with severe sepsis is significantly associated with disease severity, inflammatory marker and increased mortality. |
|
B20 |
Estrada-Garcia (2013) |
Prospective case-control study |
Mexico |
N/A |
1. 210 2. 607 |
N/A |
1. first acute non-fatal MI 2. matched controls from a MCUP |
lipid profiles |
prevalence of CCVRF |
Low HDL-C is a risk factor in male patients with MI compared to the control group. |
|
B21 |
Minicocci (2012) |
Prospective cohort study |
Italy |
2008 to 2009 |
1. 63 2. 339 |
N/A |
1. primary hypocholesterolemia 2. normocholesterolemic noncarriers |
1) lipid profile, ApoB, FBG, LFT 2) Angiopoietin-like 3 serum levels 3) non-cholesterol sterols |
The risk of liver disease, tumors, CV disease |
The risk impact of liver disease, tumors, and ischemic heart disease has not been confirmed in patients with hereditary hypolipidemia. |
|
B22 |
Gutiérrez- Cirlos (2011) |
Prospective observational study |
Mexico |
N/A |
4 |
1) TC<3.88 mmol/L 2) TC<150 mg/dl 3) TC<5th percentile |
Familial heterozygous HBL |
N/A |
1) ApoB kinetics 2) LFT 3) abdominal ultrasonography |
In primary HBL, the risk of fatty liver varies among individuals. |
|
B23 |
Míguez (2010) |
Prospective cohort study |
US |
January 2005 |
165 |
TC<150 mg/dl |
HIV-infected participants starting HAART |
TC, HDL-C, LDL-C, and TG |
1) CD4 and CD8 T-cell counts 2) thymus volume, viral load |
In HIV patients, hypocholesterolemia inhibits the effectiveness of HAART treatment. |
|
B24 |
Sanchez (2010) |
Prospective observational study |
Venezuella |
January to April 2010 |
41 |
N/A |
ICU patients |
levels of TC |
1) APACHE II score 2) ICU mortality |
In critically ill patients, early admission to the intensive care unit shows low cholesterol levels and is associated with mortality. |
|
B25 |
Barlage (2009) |
Prospective observational study |
Germany |
N/A |
1. 104 2. 47 |
N/A |
Sepsis 1. survivors 2. non-survivors |
1) TC, TG and HDL-C, LDL-C 2) ApoAI, B, E, CI, CII, and CIII |
1) SAPS II scores 2) sepsis-related mortality within 30 days |
In septic patients, HDL-associated apolipoprotein AI is linked to 30-day mortality, and low HDL-C is associated with platelet activation. |
|
B26 |
Harchaoui (2009) |
Prospective observational study |
Netherland |
N/A |
1. 12 2. 11 |
N/A |
1. familial HAL 2. healthy controls |
Fasting TC, LDL-C, HDL-C, TG, Apo |
fecal neutral sterols and bile acid |
Fecal sterol excretion is low in patients with primary HAL. |
|
B27 |
Guimarães (2008) |
Prospective cohort study |
Brazil |
N/A |
1. 39 2. 17 |
TC≤96 mg/dl |
Patients with AKI at ICU admission 1. non-survivor 2. survivor |
1) anthopometric evaluation 2) SGA of nutritional status 3) IGF-1, serum albumin, TC, serum urea, and creatinine |
1) 28-day mortality 2) sepsis: APACHE II score 3) need for mechanical ventilation, presence of oliguria, AKI etiopathogenesis 4) demographic data, comorbidity conditions, primary and concomitant diagnoses. 5) organ failures |
In patients with acute kidney injury admitted to the intensive care unit, hypocholesterolemia is associated with higher mortality. |
|
B28 |
Zorca (2008) |
Prospective cohort study |
US |
N/A |
1. 405 2. 32 |
N/A |
1. SCD patients 2. healthy African American controls |
TC, HDL-C, LDL-C TG, ApoAI, ApoB and the ratio ApoAI/ ApoB. |
battery of markers of intravascular hemolysis and vascular dysfunction : reticulocyte count, total bilirubin, LDH |
Low cholesterol levels in SCD patients are associated with intravascular hemolysis and vascular dysfunction. |
|
B29 |
Naik (2006) |
Prospective case-control study |
India |
N/A |
1. 105 2. 52 |
N/A |
1. children with leukemia or Hodgkin’s disease 2. healthy children |
serum TC, TG, HDL-C, LDL-C |
Incidence of cancer |
Hypolipidemia is associated with leukemia and Hodgkin’s disease in pediatric patients. |
|
B30 |
Cohen (2006) |
Prospective cohort study |
US |
up to January 2003 |
1. 3,363 2. 9,524 |
N/A |
CAD 1. black patients 2. white patients |
lipid profiles |
1) hospitalizations and death 2) The incidence of CHD 3) Carotid IMT |
Low LDL-C resulting from PCSK9 mutations in Black individuals significantly reduces the risk of CAD. |
|
B31 |
Chiang (2005) |
Prospective observational study |
Taiwan |
in September 2002 |
210 |
LDL-C<80 mg/dl |
ESRD patients with maintenance HD |
Blood urea nitrogen, creatinine, albumin, TC, TG, HDL-C, LDL-C |
annual mortality and hospitalization |
Low LDL-C in HD patients is associated with mortality prediction. |
|
B32 |
Mostaza (2005) |
Prospective case-control study |
Spain |
N/A |
1. 86 2. 86 |
HDL-C<40 mg/dl |
1. patients with HAL 2. control |
N/A |
CRP concentrations |
Patients with low HDL-C are associated with inflammatory states. |
|
B33 |
Sankatsing (2005) |
Prospective observational study |
Netherland |
N/A |
1. 41 2. 41 |
ApoB<5th percentile |
1. Familial HBL 2. healthy controls |
N/A |
1) Liver Ultrasound: extent of hepatic fatty infiltration was classified 2) Carotid Ultrasound: B-mode ultrasound IMT |
In low LDL-C, the prevalence and severity of fatty liver disease increase, while arterial stiffness decreases, providing CV protective effects. |
|
C. Retrospective studies |
|
C01 |
Wargny (2024) |
Retrospective cohort study |
1. France 2. UK |
1. February 2012 to December 2019 2. 2006 to 2010 |
1. 34,653 2. 94,666 |
1) LDL-C<70 mg/dl 2) LDL-C<1.81 mmol/L 3) LDL-C<5th percentile |
primary hypocholesterolemia 1. French CONSTANCES cohort 2. UK Biobank (UKBB) as a replication cohort |
TC, TG, HDL-C, LDL-C, FPG, Hb, WBC and platelet counts and ALT |
1) hepatic diseases at baseline and hepatic complications during follow-up 2) in the UKBB only, the fibrosis-4 index (FIB-4) : risk of advanced liver fibrosis |
Low LDL-C is associated with an increased incidence of liver complications, including primary liver cancer. |
|
C02 |
Xiao (2023) |
Retrospective observational study |
China |
January 2008 to December 2020 |
353 |
TC≤3.11 mmol/L |
children with hemophagocytic lymphohistiocytosis |
Lipid evaluation: TC, TG, HDL-C, LDL-C |
1) early death as death within 30 days of diagnosis 2) Survival time |
In pediatric patients with hemophagocytic lymphohistiocytosis, hypocholesterolemia is linked to an increased risk of early mortality. |
|
C03 |
Almas (2022) |
Retrospective cohort study |
Pakistan |
April 2020 to January 2021 |
1. 1,067 2. 688 |
N/A |
1. COVID-19 positive 2. healthy adult controls |
1) Hb, and WBC 2) ALT, AST, LDL-C, HDL-C, TC, and TG 3) Free T3, free T4, TSH, IL-6, and Procalcitonin |
1) severity markers: acute phase reactants like IL-6, Procalcitonin, CRP, and D-dimers 2) hospital stay |
In COVID-19 patients, hypolipidemia is significantly more prevalent compared to controls and is associated with disease severity. |
|
C04 |
Quan (2022) |
Retrospective observational study |
China |
June 2018 to December 2021 |
1. 212 2. 1,060 |
N/A |
1. patients with wasp stings 2. healthy controls |
1) severity rating of wasp stings 2) allergic reaction grade 3) lipid tests (TG, TC, HDL-C, LDL-C, ApoA1 and ApoB), routine blood tests |
1) LFT, RFT, and inflammatory markers such as IL-6 and CRP 2) the APACHE II score, SOFA score and mortality at 28 days |
Hypolipidemia in patients with wasp stings is associated with severity. |
|
C05 |
Yang (2022) |
Retrospective cohort study |
China |
January to May 2019 |
22,557 |
1) LDL-C<1.48 mmol/L 2) LDL-C<2.5th percentile |
DM |
TC, LDL-C concentration |
The risk of DM |
Both hypocholesterolemia and low LDL-C are independent risk factors for DM. |
|
C06 |
Aparisi (2021) |
Retrospective observational study |
Spain |
March to May 2020 |
654 |
N/A |
COVID-19 |
TC, HDL-C, LDL-C, TG |
1) inflammatory markers 2) all-cause mortality at 30-days |
In COVID-19 patients, low LDL-C is associated with a higher 30-day mortality rate and inflammatory markers. |
|
C07 |
Matsuo (2021) |
Retrospective cohort study |
Japan |
November 2012 to August 2018 |
1. 19 2. 82 |
N/A |
HD patients 1. Decreased BP during HD group 2. Non-decreased BP during HD group |
lipid profiles |
Blood volume and blood velocity: calculated from changes in impedance heart rate, MAP, CI, and SVRI |
In HD patients, hypocholesterolemia is associated with decreased systemic vascular responsiveness, leading to lower blood pressure. |
|
C08 |
Rimbert (2021) |
Retrospective cohort study |
France |
N/A |
111 |
LDL-C<5th percentile |
HBL |
TC, TG, HDL-C, ApoA1, ApoB, and FPG |
1) Liver steatosis was diagnosed by abdominal ultrasonography. 2) ALT, AST, and gamma-GT |
In primary low LDL-C cases, single-gene mutations are associated with a higher risk of liver complications compared to polygenic cases. |
|
C09 |
Shin (2021) |
Retrospective observational study |
Korea |
January 2005 to December 2008 |
1251 |
TC≤117.6 mg/dl |
gastric cancer |
1) gastric cancer surgery 2) serum albumin, total protein, serum TC level, and CBC |
1) overall survival, recurrence free survival, and surgical outcomes, such as hospital stays, blood loss, type and incidence of complications. 2) the log hazard of death |
Preoperative hypocholesterolemia in gastric cancer patients is associated with postoperative complication rates and survival. |
|
C10 |
Ndrepepa (2020) |
Retrospective observational study |
Germany |
2000 to 2011 |
1. 8,592 2. 6,360 |
1) TC<1st quintile 2) TC<157 mg/dl |
patients with CAD 1. statin-naïve 2. statin-treated |
1) percutaneous coronary intervention 2) TC, TG, LDL-C and HDL-C |
1) CRP, Creatinine 2) the risk of DM |
In patients with CAD undergoing intervention, hypocholesterolemia is independently and dose-responsively associated with DM risk, primarily linked to low LDL-C. |
|
C11 |
Wei (2020) |
Retrospective cohort study |
China |
February to March 2020 |
1. 597 2. 1,574 |
TC<174 mg/dl |
1. COVID-19 positive 2. normal subjects |
1) CBC 2) ALT, AST, ALP, gamma-GT, LDL-C, HDL-C, TC, and TG |
IL-6, T cell subpopulations |
In COVID-19 patients, hypolipidemia is associated with disease severity. |
|
C12 |
Benachenou (2019) |
Retrospective observational study |
Canada |
2007 to 2017 |
1. 79 2. 79 |
TC, HDL-C, LDL-C, TG 1) <5th percentiles 2) 10th percentiles |
1. individuals with ASD 2. control group consists of outpatients |
TC, HDL-C, TG, LDL-C levels |
1) anthropometric measurements: age, weight, height, and BMI 2) developmental, medical/genetic, psychiatric/behavioral disorders, prevalence of ASD, ASD-associated ID 3) medications |
In patients with ASD, low cholesterol levels may be potentially linked to ASD and ID. |
|
C13 |
Ishida (2019) |
Retrospective observational study |
Japan |
October 2009 to July 2013 |
623 |
1) HDL-C<45 mg/dl (men) 2) HDL-C<55 mg/dl (women) |
acute coronary syndrome patients : STEMI, non-STEMI and unstable angina. |
troponin T, serum creatinine, FPG, LDL-C, HDL-C and TG levels |
1) in-hospital mortality 2) ECG, echocardiography |
In patients with acute coronary syndrome, low HDL-C is identified as an independent predictor of in-hospital mortality. |
|
C14 |
Mouzaki (2019) |
Retrospective cohort study |
US |
August 2010 to October 2017 |
740 |
LDL-C<50 mg/dl |
nonalcoholic fatty liver disease |
lipid profiles |
1) hepatic profile, lipid profile, HbA1c 2) BMI, Waist circumference to height ratio 3) The NAFLD activity score |
In patients with non-alcoholic fatty liver disease, the severity of low LDL-C is similar to that of the control group; however, low LDL-C significantly correlates with lower obesity levels and fatty liver. |
|
C15 |
Cariou (2018) |
Retrospective observational study |
France |
course of the year 2014 |
1. 20 2. 817 |
LDL-C≤50 mg/dl |
1. HBL 2. non-HBL |
N/A |
1) physical characteristics 2) psychiatric characteristics: history of aggressive behaviors (hetero-aggression, suicidal attempts and other self-injuries), current psychotropic drugs use |
Low LDL-C is associated with schizophrenia, autism, altruistic aggression, violent behavior, and impulsivity. |
|
C16 |
Geller (2018) |
Retrospective observational study |
US |
2014 to 2016 |
1. 112,776 2. 145,476 |
HDL-C<20 mg/dl |
general population 1. male 2. female |
1) TC, TG, LDL-C, sdLDL-C, HDL-C, ApoAI, ApoB, HDL, FBG, hsCRP, insulin, adiponectin, fibrinogen, MPO, and LFT 2) genetic mutations |
prevalence rates of ASCAD, kidney failure |
In cases of low HDL-C with genetic mutations, there is an association with the prevalence of kidney failure and ASCAD. |
|
C17 |
Lee (2018) |
Retrospective observational study |
Korea |
January 2007 to December 2015 |
1. 871 2. 55 |
TC<61 mg/dl |
critically ill patients with diffuse peritonitis 1. survivor 2. non-survivor |
1) emergency surgery 2) postoperative TC level |
1) in-hospital mortality 2) ASA physical status classification, APACHE II score, comorbidities, lesion location, diagnosis, perioperative shock, preoperative blood cultures, intraoperative peritoneal fluid cultures, preoperative laboratory findings, postoperative complications 3) septic shock, Pulmonary complications, Anastomotic leakage, Wound complications, SSI; Postoperative AKI according to the RIFLE definition, postoperative ileus, newly developed sepsis |
In critically ill patients undergoing emergency surgery for diffuse peritonitis, hypocholesterolemia is an independent predictor of in-hospital mortality. |
|
C18 |
Oh (2018) |
Retrospective observational study |
Korea |
January 2011 to June 2017 |
1,944 |
TC<160 mg/dl |
primary colorectal cancer |
1) elective laparoscopic colorectal surgery 2) preoperative TC levels |
1) difference in postoperative pain outcome 2) BMI, ASA classification, history of hypertension or DM, type of surgery, preoperative TC, surgery duration, length of hospital stay, total opioid usage (PODs 0–2), and postoperative pain score (PODs 0-2). |
There is no association between postoperative pain and preoperative hypocholesterolemia in patients undergoing laparoscopic surgery for primary colorectal cancer. |
|
C19 |
Fukui (2016) |
Retrospective observational study |
Japan |
April 2000 to July 2015 |
1. 18 2. 15 |
TC<150 mg/dl |
Takayasu arteritis 1. relapse 2. non-relapse |
1) symptoms, BMI, history of smoking, and complications 2) HLA typing, WBC count, Hb, platelet count, ESR, CRP, IgG, Alb, TC, LDL-C, HDL-C, and TG 3) MMP-3 and MMP-9 4) corticosteroid doses |
1) subsequent relapse 2) survival rate |
In Takayasu arteritis patients, low cholesterol levels are confirmed as the sole predictor of recurrence. |
|
C20 |
Lee (2015) |
Retrospective observational study |
Korea |
January 2007 to December 2012 |
1. 366 2. 45 |
TC<60 mg/dl |
patients with intra-abdominal sepsis 1. survivor 2. non-survivor |
1) emergency gastrointestinal surgery 2) postoperative TC level |
in-hospital mortality |
In patients undergoing emergency gastrointestinal surgery for intra-abdominal sepsis, low cholesterol levels significantly increase in-hospital mortality. |
|
C21 |
Kang (2014) |
Retrospective observational study |
Korea |
2005 to 2011 |
1. 665 2. 1,965 |
1) HDL-C<40 mg/dl (men) 2) HDL-C<50 mg/dl (women) |
1. stone formers 2. control subjects |
1) CBC, urine analyses, abdominal ultrasonography 2) lipid battery : TC, TG, and HDL-C, LDL-C |
The risk of urinary stones |
Patients with urolithiasis showed a higher risk associated with low HDL-C. |
|
C22 |
Nakayama (2014) |
Retrospective cohort study |
Japan |
January 2003 to December 2011 |
1. 186 2. 869 |
TC<120 mg/dl |
AAA |
1. emergency infrarenal repair 2. elective infrarenal repair |
1) ECG abnormalities, Laboratory data 2) postoperative survival |
In patients undergoing emergency surgery for abdominal aortic aneurysm, low cholesterol levels may be a potential predictor of decreased survival. |
|
C23 |
Albers (2013) |
Retrospective cohort study |
US |
N/A |
3,196 |
LDL-C<40 mg/dl |
atherothrombotic CV disease with low levels of HDL-C and elevated TG |
the impact of intensive LDL-lowering therapy alone or in combination with ERN on ApoA-1, ApoB, and Lp (a) |
CV events 1) death from coronary disease 2) nonfatal MI 3) ischemic stroke 4) hospitalization for acute coronary syndrome 5) symptom driven coronary or cerebrovascular revascularization |
Low LDL-C is associated with the risk of CV events. |
|
C24 |
Tadeu (2013) |
Retrospective cohort study |
Portugal |
January 2009 to December 2012 |
225 |
N/A |
admitted in the ICU, with severe sepsis or septic shock |
serum TC and CRP levels |
1) ICU mortality 2) LOS |
In septic patients admitted to the intensive care unit, hypocholesterolemia is associated with an increased risk of mortality. |
|
C25 |
Lee (2012) |
Retrospective observational study |
Korea |
January 2005 to March 2011 |
1. 250 2. 709 |
1) LDL-C≤40 mg/dl 2) LDL-C≤70 mg/dl |
HBL 1. very low LDL-C group 2. low LDL-C group |
1) biochemical tests, lipid profiles (including LDL-C) 2) body anthropometry 3) vital sign assessments |
1) incidence of chronic diseases 2) incidence of ICH |
Patients with low LDL-C had a higher incidence of viral hepatitis and alcoholic liver disease; however, there was no association with the incidence of intracerebral hemorrhage. |
|
C26 |
Tietjen (2012) |
Retrospective cohort study |
Netherlands and Canada |
N/A |
1. 89 2. 89 |
HDL-C<10th percentile |
unrelated probands of Caucasian ancestry with HAL 1. Familial 2. Unknown |
1) HDL-C level 2) genetic mutations : ABCA1, APOA1, LCAT |
1) CAD prevalence |
Genetic mutations in patients with low HDL-C are associated with the prevalence of CAD. |
|
C27 |
Dunham (2011) |
Retrospective observational study |
US |
August 2006 to June 2008 |
152 |
TC<90 mg/dl |
brain-injured patients underwent phenytoin loading on the day of injury |
1) injury mechanism, chest injury, brain injury, ISS, shock, hypoxemia, RBC transfusion 2) TC level |
1) requiring emergency tracheal intubation, mechanical ventilation 2) mortality |
In trauma patients, the resolution of hypocholesterolemia may signal mechanical ventilation and mortality. |
|
C28 |
Sok (2009) |
Retrospective observational study |
Slovenia |
January 1992 to April 1994 |
198 |
1) TC≤1st quartile 2) TC≤4.5 mmol/L |
who underwent operations for non-small-cell lung cancer |
1) TC level 2) physical examination and chest radiography by CT scanning, bronchoscopy or ultrasound |
survival, The date of death |
In patients undergoing surgery for non-small cell lung cancer, hypocholesterolemia is an important predictor of postoperative survival. |
|
C29 |
Tsai (2009) |
Retrospective observational study |
Taiwan |
May 2005 to April 2006 |
1. 37 2. 66 |
1) HDL-C<16.5 mg/dl 2) ApoAI<47.5 mg/dl |
cirrhotic patients with severe sepsis 1. survivors 2. non-survivors |
TC, TG, HDL, LDL, APO A-I |
TNF-a, IL-6, CRP |
Low HDL-C is associated with severity in patients with severe sepsis and cirrhosis. |
|
C30 |
Shor (2008) |
Retrospective observational study |
Israel |
January 2005 to December 2005 |
1. 108 2. 96 |
HDL-C≤20 mg/dl |
1. patients with HAL 2. patients with hyperalphalipoproteinemia |
CBC, FBG, urea, albumin, uric acid, electrolytes, LFT, total protein, lipid profile (TC, TG, LDL-C, HDL-C), creatinine |
1) sepsis : ACCP/SCCM consensus conference definition 2) patient survival, fever, risk of neoplasm |
Low HDL-C is associated with risks of mortality, sepsis, fever, and neoplasms. |
|
C31 |
Mesa (2007) |
Retrospective observational study |
US |
N/A |
558 |
1) TC<150 mg/dl 2) HDL-C<60 mg/dl |
myeloproliferative disorders (primary myelofibrosis, polycythemia vera, and essential thrombocythemia) |
Serum TC, LDL-C, HDL-C, and TG |
Survival rates |
In patients with bone marrow disorders, hypocholesterolemia is independently associated with decreased survival rates. |
|
C32 |
Nie (2007) |
Retrospective observational study |
China |
January 2005 to December 2006 |
1. 61 2. 28 |
N/A |
patients with severe multiple injuries 1. survival group 2. death group |
serum TC |
the risk of mortality |
In patients with multiple severe trauma, hypocholesterolemia is associated with increased mortality risk. |
|
C33 |
Wiviott (2005) |
Retrospective cohort study |
US |
N/A |
1,656 |
N/A |
acute coronary syndrome after stabilization 1) acute MI 2) non-STEMI |
1. intensive therapy (atorvastatin) 2. standard therapy (pravastatin) 3. gatifloxacin 4. placebo LDL-C level |
death, MI, and total stroke |
In stabilized patients after acute coronary syndrome, the administration of lipid-lowering agents showed no negative impact on low LDL-C levels. |
|
C34 |
Vermont (2005) |
Retrospective observational study |
Netherland |
July 1997 to March 2000 |
57 |
N/A |
meningococcal sepsis |
1. protein C concentrate 2. placebo Serum TC, HDL-C, and LDL-C |
1) Disease Severity Scores : PRISM, SOFA, and the DIC score 2) Levels of IL-6 and TNF-α 3) WBC counts, lactate concentrations, and serum CRP |
In patients with meningococcal sepsis, hypolipidemia is associated with severity. |
|
C35 |
Kim (2005) |
Retrospective observational study |
Korea |
January 2002 to June 2004 |
674 |
N/A |
liver cirrhosis |
total protein, albumin, AST, ALT, LDH, total bilirubin, TC, TG, PT, aPTT |
1) severity of cirrhosis : CPC 2) in-hospital day, mortality |
In cirrhosis patients, hypocholesterolemia is present with infections and correlates with poor prognosis. |
|
D. Cross-sectional studies |
|
D01 |
Andgi (2023) |
Cross-sectional study |
India |
N/A |
50 |
1) TC<200 mg/dl 2) LDL<130 mg/dl 3) HDL<40 mg/dl 4) TG<150 mg/dl |
patients with acute stroke (cerebral infraction or intra-cerebral hemorrhage) |
N/A |
1) Lipid profile : TC, LDL, HDL, TG 2) the carotid IMT of the CCA by B-mode ultrasound |
Hypercholesterolemia exhibits a protective effect against intracerebral hemorrhage. Elevated LDL levels are associated with ischemic stroke, and improvement in high LDL levels reduces complications and mortality. |
|
D02 |
Armonis (2023) |
Cross-sectional study |
Greece |
during the year 2021 |
301 |
N/A |
COVID-19 |
N/A |
1) blood sugar, HbA1c 2) lipid values : TC, TG, LDL and HDL 3) Mortality |
In COVID-19 patients, hyperglycemia and hypolipidemia are associated with increased mortality. |
|
D03 |
Amin (2018) |
Cross-sectional study |
Iraq |
April 2014 to October 2016 |
1. 93 2. 93 |
TC<131 mg/dl |
1. patients who developed non-traumatic, hypertensive hemorrhagic stroke 2. healthy control |
N/A |
serum TC, LDL-C, HDL-C, VLDL-C, and TG |
There is no association between hypocholesterolemia and hypertensive hemorrhagic stroke in affected patients. |
|
D04 |
Mukisa (2018) |
Cross-sectional study |
Uganda |
February to April 2016 |
323 |
TC<3.7 mmol/L |
pulmonary tuberculosis |
N/A |
1) laboratory tests : lipid profile, random blood sugar 2) pre-tested structured questionnaire. |
In patients with pulmonary tuberculosis, hypocholesterolemia is linked to the duration of tuberculosis treatment. |
|
D05 |
Ramachandran Pillai (2018) |
Cross-sectional study |
India |
September 2014 to October 2015 |
1. 186 2. 503 |
N/A |
1. women with postpartum depressive symptoms 2. without postpartum depression |
N/A |
1) TC TG, HDL-C 2) Tamil version of EPDS to assess depression |
In postpartum women, low HDL-C is associated with increased depressive symptoms and higher EPDS scores. |
|
D06 |
Nienov (2017) |
Cross-sectional study |
Brazil |
January to December 2014 |
218 |
1) HDL-C<40 mg/dl (men) 2) HDL-C<50 mg/dl (women) |
patients with severe obesity with metabolic syndrome |
N/A |
1) anthropometric data 2) blood pressure, serum blood glucose 3) HDL-C, LDL-C, TG, creatinine, TSH, and vitamin B12 |
Multiple peripheral neuropathy is associated with low HDL-C levels. |
|
D07 |
Ataga (2015) |
Cross-sectional study |
US |
N/A |
1. 117 2. 11 |
N/A |
1. SCD 2. healthy African American controls |
N/A |
TC, HDL, ProHDL |
In SCD patients, hypocholesterolemia is associated with elevated markers of endothelial injury, and inflammatory HDL is linked to liver dysfunction. |
|
D08 |
Boemeke (2015) |
Cross-sectional study |
Brazil |
2010 |
150 |
1) TC<100 mg/dl 2) HDL-C<40 mg/dl 3) LDL-C<70 mg/dl 4) VLDL<16 mg/dl 5) TG<70 mg/dl |
liver cirrhosis |
N/A |
1) TC, HDL-C, LDL-C, and TG 2) clinical outcome (liver transplantation or death pre-transplant |
Hypocholesterolemia in cirrhosis patients is associated with disease progression. |
|
D09 |
Nair (2015) |
Cross-sectional study |
India |
|
1. 60 2. 60 |
N/A |
1. alcoholic cirrhosis 2. healthy controls |
N/A |
1) CPC, MELD 2) Serum TG levels, TC, HDL, LDL, VLDL, ApoA1, Apo B100 and Lp (a) |
In alcoholic cirrhosis patients, hypocholesterolemia is linked to severe sepsis. |
|
D10 |
Chillarón (2013) |
Cross-sectional study |
Spain |
2008 |
291 |
1) HDL-C<40 mg/dl (men) 2) HDL-C<50 mg/dl (women) |
type 1 DM |
N/A |
HDL-C, and TG |
In patients with type 1 diabetes, low HDL-C increases the risk of microvascular complications threefold. |
|
D11 |
López-Hern ández (2012) |
Cross-sectional study |
Mexico |
N/A |
1. 826 2. 98 |
HDL-C≤35 mg/dl |
MI 1. mestizos 2. indigos |
N/A |
serum glucose, TC, LDL-C, HDL-C, and TG |
Low HDL-C is associated with an increased risk of MI. |
|
D12 |
Abbasi (2012) |
Cross-sectional study |
Pakistan |
June to December 2010 |
114 |
TC≤100 mg/dl |
liver cirrhotic patients |
N/A |
1) serum TC, CBC, LFT, prothrombin time, albumin and total protein 2) dysfunction was categorized according to CPC |
In cirrhosis patients, hypocholesterolemia and low triglyceride levels are correlated with the severity of liver dysfunction and Child-Pugh classification. |
|
D13 |
Jung (2008) |
Cross-sectional study |
Korea |
N/A |
94 |
HDL-C<50 mg/dl |
female college students |
|
HDL-C, BMI, body weight, body fat, waist circumference |
In female college students, low HDL-C is associated with an increased atherosclerosis index. |
IV. Discussions
Hypolipidemia refers to a state characterized by low levels of blood lipids 1. It can be classified as either genetic or secondary. While genetic disorders include such as abetalipoproteinemia and familial hypobetalipoproteinemia, secondary hypolipidemia is often attributed to the use of lipid-lowering agents in the treatment of hyperlipidemia 17. The National Health and Nutrition Examination Survey (NHANES) indicates that blood lipid levels generally increase the age from 20s to 60s before declining in the age of 70s 18. Although the mechanisms are not fully understood, hypolipidemia is theorized to cause deficiencies in thyroid hormones, adrenal hormones, sex hormones, and iron, and it has been associated with frailty in the context of lipid-lowering therapy. Previous research on hypolipidemia has been relatively limited compared to hyperlipidemia. Previous studies have explored the impact of hypolipidemia on health outcomes in populations with compromised health status, such as ICU admission and septic patients 19,20. However, these studies predominantly highlight the necessity for monitoring and clinical evaluation of hypolipidemia in specific contexts. This study aims to collect and identify trends related to health outcomes associated with hypolipidemia without restricting diseases.
The search results indicate that, while conflicting findings exist regarding certain disease groups such as CV and cerebrovascular diseases, numerous studies report an association between hypolipidemia and increased risks of mortality, disease severity, prevalence of various diseases, and adverse health outcomes. Through subgroup analyses, several trends from the included studies can be inferred.
First, in terms of immune and recovery functions, hypolipidemia may independently correlate with adverse health outcomes such as mortality, disease severity, increased incidence of infections, delayed recovery periods, and postoperative complications in specific health conditions characterized by impaired immune and recovery functions, including infections, sepsis, neoplasms, ICU admissions, and postoperative states. It has been hypothesized that decreased serum lipid levels may enhance cortisol and corticosterone synthesis in the adrenal glands 20, with cytokines like IL-6 related to chronic infections also associated with lower serum lipid levels 22. Furthermore, Elmehdawi 1 and Mathew 2 have highlighted potential infection risks in septic conditions associated with hypolipidemia, while Falagas 19 and Hofmaenner 20 have noted that hypolipidemia in septic patients could lead to increased intensive care unit (ICU) admissions and mortality rates. This suggests that, unlike healthy individuals, the lipid metabolism necessary for immune and recovery functions may be impaired in states of hypolipidemia due to genetic or secondary causes.
Regarding liver lipid metabolism, hypolipidemia has been associated with disease severity, prevalence, and prognosis in liver diseases such as fatty liver, cirrhosis, and liver cancer, as well as in conditions like sepsis, infections, and mental disorders. Reports suggest that abnormalities in liver lipid metabolism associated with hypolipidemia can affect immune function and may also influence the symptoms of mental disorders. The lipid metabolic response during immune reactions is identified as a key factor related to hypolipidemia, with the host lipid response to infections being influenced by sex hormones, age, and disease severity 23. Mechanisms linking hypolipidemia with major depressive disorder 24 and autism spectrum disorders 25 have been proposed, indicating that while liver dysfunction may contribute to the outcomes of hypolipidemia, similar findings in hereditary hypolipidemia suggest that specific genetic mutations leading to lipid synthesis disorders may also be associated with liver diseases.
While low LDL-C has been reported as a positive factor associated with CV protective effects, such as reduced arterial stiffness and decreased incidence of cerebrovascular diseases, it has been associated negatively with liver diseases, infections, neoplasms, and mental health. Karagiannis 26 reviewed the safety of low LDL-C levels, while a number of studies 27-30 examined target levels for LDL-C regulation. There are also reports indicating that lipid-lowering agents are associated with increased hemorrhage in hemorrhagic strokes. Therefore, the negative associations of low LDL-C with non-CV diseases warrant further investigation. Conversely, low HDL-C, which is well recognized as components of dyslipidemia and metabolic syndrome, correlates with increased risks and prevalence of CV diseases such as myocardial infarction and coronary artery disease. However, HDL-C is similarly reported as a negative factor for non-CV diseases, like other cholesterols. The results of the included studies demonstrate the differences in CV health outcomes related to LDL-C and HDL-C.
Additionally, the study results suggest that hypolipidemia may influence various medical conditions that are caused or challenged by immune and lipid metabolic functions. This is reminiscent of the pathological mechanisms represented by the concepts of the Deficiency syndrome (虛證) in Korean Medicine. Although pathology and pattern identification still need to be investigated including lipid profile characteristics of each pattern syndrome; however, there is potential for utilizing Korean medical approaches to improve prognosis and enhance health outcomes for chronic diseases, long-term hospitalization, nutritional deficiencies, and elderly patients. Despite the inclusion of Korean databases in the search strategy, no research has been conducted in the realm of Korean medicine. Thus, further investigation into the effects of Korean medicine on hypolipidemia would be needed.
In analyzing the results according to the study design, it is observed that RCTs tend to have a relatively small sample size and limited publications. Although this can yield strong evidence of comparative effectiveness and efficacy, there are practical limitations regarding the feasibility of long-term follow-up observations extending over several years. Furthermore, there remains a need for further discussions about diagnostic criteria and the necessity for treatment of hypolipidemia, which appears to hinder the execution of RCTs focused on interventions and health outcomes related to hypolipidemia. In the case of prospective studies, long-term health outcomes were observed based on the collection of baseline lipid profiles, alongside hypolipidemia or various exposures. While this approach may provide prognostic data that can estimate the impact of hypolipidemia and its correction on health outcomes, it is limited by the potential confounding variables related to participant characteristics, chronic disease prevalence such as diabetes, and surgical conditions in specific studies, unlike RCTs that minimize heterogeneity. Conversely, retrospective studies, which typically involve larger sample sizes and extended observation periods, are more suitable for longitudinal analysis to demonstrate the impact of hypolipidemia on health outcomes. Such studies are often chosen as an epidemiological method to study the effects on health outcomes like prevalence and mortality of specific diseases, and the retrospective studies of this review included the largest sample sizes and various health conditions. Cross-sectional studies, in contrast, do not track long-term health outcome impacts but rather collect data on health outcomes at a single point in time. While they have reported associations between health conditions and hypolipidemia, the major limitation that the causation cannot be concluded is crucial. Most of the included studies reported differences in serum lipid levels or biochemical indicators rather than mortality or disease prevalence. Therefore, future research should be considered to investigate the long-term prognostic effects of hypolipidemia on health outcomes through a retrospective cohort design, considering the use of healthcare big-data to encompass a sufficiently large sample.
Several limitations must be discussed for careful interpretation of this review. First, comparisons of mortality and complication risks with hyperlipidemia are needed. Recent studies of hyperlipidemia have reported that the relation between lipid levels and health outcomes is U-shaped rather than L-shaped 4,31. Since the health outcomes of hyperlipidemia are already well-documented, it is advisable to explore the relative risks and discuss the lower limits of lipid level that may influence health outcomes in the hypolipidemia group. Second, there are conflicting research results regarding whether hypolipidemia itself exerts direct and independent effects on health. Included studies often focused on specific diseases, and when comparing groups against healthy controls, confounding factors related to diseases other than hypolipidemia may influence health outcomes. Third, this study did not specifically target patients taking lipid-lowering agents, making it challenging to interpret the health outcomes associated with hypolipidemia resulting from these medications. Given that studies associating hypolipidemia as a mediating factor for health outcomes are mixed, further health data analyses must be predicated on whether individuals are on lipid-lowering therapy. Fourth, there is no established clinical target threshold for the risks and optimal concentrations of hypolipidemia, indicating that studies reporting positive health impacts of hypolipidemia may not be widely published. Although this review aimed to encompass all health outcomes associated with hypolipidemia, most reports indicated negative effects, suggesting a tendency to prefer investigating risks over exploring lower target concentrations when studying hypolipidemia. Considering potential publication bias, the evidence supporting the risks of hypolipidemia remains insufficient.
In summary, this review of published clinical studies related to hypolipidemia and health outcomes indicates that hypolipidemia has elucidated the associations between various health conditions, and these findings are expected to have significant implications for clinical management. Effective management and prevention of hypolipidemia require an understanding of the characteristics of each disease and their relationship with hypolipidemia, necessitating a treatment approach based on this understanding. Future research may promote more in-depth clinical applications based on these findings.
V. Conclusions
Hypolipidemia may mediate lipid metabolism in the liver and immune function, contributing to the severity of conditions like sepsis, infections, and surgical complications, and is also a predictor of mortality risk. Low LDL-C levels are independent risk factors for fatty liver diseases, such as steatosis and fibrosis, but they may reduce CV risk by reducing arterial wall sclerosis. In contrast, low HDL-C levels promote arterial wall sclerosis and are associated with increased CV disease risk, while also linking to mortality of non-CV disease, such as infections and neoplasms. This underscores the importance of monitoring hypolipidemia in patients with specific health conditions. Further research is essential to explore the clinical implications of hypolipidemia, especially regarding its connections to various diseases.
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