Health Outcomes Associated with Hypolipidemia: a Scoping Review
Article information
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.
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 mortality2. 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 researchers1-3. 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 factors4.
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 quantiles5. Bandyopadhyay6 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 mechanism10. 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, Mehraban11 have documented the lipid-lowering effects of plant oils and phytosterols on dyslipidemia, while Fang12 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’Malley13, Levac et al.14, as well as the checklists provided by the PRISMA and JBI groups15. 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).
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).
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).
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 diseaseB30 and a CV protective effect through decreased arterial wall stiffnessB33. Moreover, it shows no negative impact in stable patients following acute coronary syndromeC33. However, there exists an independent, dose-response association with diabetes risk in patients with coronary artery disease undergoing interventionC10, as well as an association with the risk of CV eventsC23. Regarding cerebrovascular disease, low LDL-C is beneficial as it is associated with ischemic stroke and a reduction in complications and mortalityD01.
In the context of liver diseases, low LDL-C is linked to several risks. It is associated with the incidence of primary liver cancerC01, and the prevalence of liver fibrosis in cirrhotic patientsB01,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 levelsB01,B15,B17,B22,B33,C08, and a higher incidence of alcoholic liver diseaseC14,C25. The implications of low LDL-C extend to COVID-19, where it is associated with increased severity in patientsC03,C11, higher 30-day mortalityC06, and an association with inflammatory markers. Additionally, it is linked to worsening COVID-related acute kidney injury through immune response inhibition and fibrosisB08.
Other risk associations include end-stage renal disease (ESRD), where low LDL-C is associated with mortality in dialysis patientsB31, and diabetesC05, where it is identified as an independent risk factor. Low LDL-C is also associated with the incidence of various cancersB29 and the severity of meningococcal sepsisC34. 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 impulsivityC15 (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 infarctionB20 and serves as an independent predictor of in-hospital mortality in patients with acute coronary syndromeC13. Low HDL-C is associated with the prevalence of atherosclerotic coronary artery disease and risk factors for myocardial infarctionC16,C26,D11, and similarly, is linked to an increased atherosclerosis index in female college studentsD13. Within cerebrovascular disease, low HDL-C is associated with an increased risk of stroke recurrence, particularly in patients with moyamoya disease following revascularizationB06.
In liver cirrhosis, it is associated with severity in patients suffering from both cirrhosis and severe sepsisC29. The implications of low HDL-C extend to COVID-19, where it is associated with increased severity in affected patientsB04,C03. Sepsis is another critical area, where low HDL-C is associated with long-term organ failure, poor prognosisB07,B19,C29, and increased mortalityC30, particularly in patients with severe sepsis and meningococcal sepsisC34. Moreover, low HDL-C is connected to inflammatory statesB32.
Additionally, in chronic kidney disease (CKD), it is linked with the prevalence of renal failure, influenced by genetic variationsC16. The risk of urolithiasis is also increased in patients with low HDL-CC21, while diabetes is linked to cognitive impairment in elderly patients with type 2 diabetesB14 and presents a threefold increased risk of microvascular complications in patients with type 1 diabetesD10. Obesity is another area of concern, as low HDL-C is associated with decreased health-related quality of life scores in obese womenB16, and lipid metabolism issues particularly low fecal sterol excretionB26. In hematologic disorders, low HDL-C correlates with increased endothelial injury markers in sickle cell patientsD07. Cancer risk is significantly impacted as well, with low HDL-C associated with various cancersB11, including pediatric leukemia and Hodgkin’s diseaseB29, as well as the overall risk of neoplasmsC30. In the context of mental health outcomes reveal an association with heightened depressive symptoms and elevated EPDS scores in postpartum womenD05. It is also associated with peripheral polyneuropathy and the incidence of psoriasisB05 (Table 1-B).
3) hypocholesterolemia
In the context of CV disease, low cholesterol level showed no significant impact on the risk of ischemic heart diseaseB21. However, it is identified as an independent, dose-response risk factor for diabetes in patients with coronary artery disease undergoing interventionC10. Within cerebrovascular disease, low cholesterol level exhibits beneficial effects, particularly a protective effect against intracerebral hemorrhageD01, while barely associated with hypertensive hemorrhagic stroke in the other studyD03.
In liver-related conditions, the risk impact of low total cholesterol on liver cirrhosis remains unconfirmedB21; however, it is associated with poor prognosisC35, disease progressionD08, and severe sepsis in patients with alcoholic cirrhosisD09. Additionally, low cholesterol level is linked to the severity of liver dysfunction and Child-Pugh classification in cirrhosis patientsD12. Furthermore, it presents an increased risk of primary liver cancerB09 and is associated with the severity of amoebic liver diseaseB18. The implications of low cholesterol extend to COVID-19, where it is associated with increased severity and mortality in patientsC03,C11,D02. In sepsis, low cholesterol is linked to mortality risk and severityC24, especially in patients admitted to the intensive care unit and those with meningococcal sepsisC34. Regarding surgical site infections, low cholesterol is associated with increased risk and nutritional deficiencies as a risk factor for surgical site infectionsB02,B12. Post-surgical complications are notably influenced by hypocholesterolemia, as it is associated with complication rates and survival after gastric cancer surgeryC09 It serves as an independent predictor of in-hospital mortality in patients undergoing emergency surgery for diffuse peritonitisC17 and is linked to significantly higher in-hospital mortality in emergency gastrointestinal surgeries for intra-abdominal sepsisC20, as well as being a potential predictor of decreased survival after emergency surgery for abdominal aortic aneurysmC22. In trauma patients, low cholesterol level was not affected a reduction in mechanical ventilation and mortalityC27, yet it is associated with increased mortality risk in patients with multiple severe traumasC32. Among ICU inpatients, low cholesterol is linked to early mortalityB24.
In acute kidney injury (AKI), low cholesterol level correlates with higher mortality in patients admitted to the intensive care unitB27. In dialysis patients, it is linked to decreased systemic vascular responsiveness and blood pressure reductionC07. Hematologic disorders reveal a concerning association, as low cholesterol level is linked to decreased survival in patients with myelodysplastic syndromesC31 and associated with intravascular hemolysisB28 and increased endothelial injury markers in sickle cell patientsD07. Cancer outcomes demonstrate a neutral impact regarding tumors, as the risk is not confirmed in some contextsB21, such as postoperative pain following laparoscopic surgery for primary colorectal cancerC18. However, low cholesterol level is associated with pediatric leukemia, Hodgkin’s diseaseB29, and increased risk of early mortality in pediatric patients with hemophagocytic lympho-histiocytosisC02. It is also linked to complication rates and survival after gastric cancer surgeryC09. Mental health was affected as well, with associations between low cholesterol level and depressive disorders, suicide attemptsB13, and potential connections to autism spectrum disorder and intellectual disabilityC12. In HIV patients, it inhibits the effectiveness of HAART treatmentB23. For myelofibrosis, ruxolitinib treatment is associated with changes in total cholesterol and improved survival outcomes in patientsA03. For Takayasu arteritis, it is identified as the sole predictor of recurrenceC19. Finally, Low cholesterol level is also associated with the duration of treatment in patients with pulmonary tuberculosisD04 and the severity of wasp stingsC04 (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 patientsB10.
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 diseaseD12.
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 patientsC03. (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).
IV. Discussions
Hypolipidemia refers to a state characterized by low levels of blood lipids1. 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 hyperlipidemia17. 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 70s18. 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 patients19,20. 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 glands20, with cytokines like IL-6 related to chronic infections also associated with lower serum lipid levels22. Furthermore, Elmehdawi1 and Mathew2 have highlighted potential infection risks in septic conditions associated with hypolipidemia, while Falagas19 and Hofmaenner20 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 severity23. Mechanisms linking hypolipidemia with major depressive disorder24 and autism spectrum disorders25 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. Karagiannis26 reviewed the safety of low LDL-C levels, while a number of studies27-30 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-shaped4,31. 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.
Notes
Authors’ Contributions
Conceptualization : J. Jeong.
Methodology : S. Hong, D. Choi.
Software : S. Hong.
Validation : S. Hong.
Formal analysis : S. Hong
Investigation : S. Hong, D. Choi, J. Jeong.
Resources : S. Hong.
Data curation : S. Hong.
Writing - Original Draft : S. Hong.
Writing - Review & Editing : S. Hong, D. Choi, J. Jeong.
Visualization : S. Hong.
Supervision : D. Choi, J. Jeong.
Project administration : D. Choi, J. Jeong.
Funding acquisition : D. Choi.
Authors’ disclosure statement
The Authors declare that there is no conflict of interest.
Funding Statement
This research was supported by a grant of the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea (grant number : RS-2023-KH139286).
Data availability
The data that support the findings of this study are available from the corresponding author upon reasonable request.
Ethics Approval
Since the research is based on published literature and does not involve living subjects, informed consent and ethics approval were not required.