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The prevalence of dyslipidemia in patients on hemodialysis: a cross-sectional study from Syria
Yasmeen Kamel Hasan1, Mohammad Alsultan1, Mohamed Taher Anan2
1Department of Nephrology, Al Assad and Al Mouwasat University Hospitals.
Insights
Dyslipidemia is common in hemodialysis patients, with low HDL being most prevalent. Risk scores need further study for cardiovascular disease prediction in this population.
Area of Science:
- Nephrology
- Cardiology
- Clinical Chemistry
Background:
- Dyslipidemia is a significant risk factor for cardiovascular disease (CVD), the leading cause of mortality in hemodialysis (HD) patients.
- Understanding dyslipidemia prevalence and characteristics in HD patients is crucial for risk stratification and management.
Purpose of the Study:
- To investigate the prevalence and characteristics of dyslipidemia in hemodialysis patients in Syria.
- To evaluate the utility of Framingham Risk Score (FRS) and Atherosclerotic Cardiovascular Disease (ASCVD) risk score in predicting CVD risk within this population.
Main Methods:
- A retrospective cross-sectional study involving 153 HD patients from two centers in Syria (March 2021-March 2022).
- Dyslipidemia defined by specific thresholds for total cholesterol (TC), triglycerides (TG), LDL, HDL, and Non-HDL.
- Analysis of lipid parameters in relation to sex, CVD history, statin use, and CVD risk scores.
Main Results:
- High prevalence of dyslipidemia observed, with hypo-high-density lipoprotein (HDL) being the most common (72.50%), followed by hyper-triglycerides (TG) (37.30%).
- Significant differences in TC, LDL, HDL, and Non-HDL between males and females, with higher levels in females.
- Lipid profiles showed associations with CVD history and were affected by statin use (except TG and HDL).
- HDL levels differed across low and intermediate FRS categories, but not in high FRS. No differences were found for ASCVD scores.
Conclusions:
- Dyslipidemia is highly prevalent in the studied HD population in Syria.
- Lipid parameter differences between sexes warrant further investigation.
- The predictive value of FRS and ASCVD scores for CVD in dialysis patients requires additional research.
Abstract:
Dyslipidemia is an established risk factor for cardiovascular disease (CVD), which is the main cause of mortality among haemodialysis (HD) patients. We investigate the prevalence and characteristics of dyslipidemia in HD patients. Also, we aimed to study the prediction scores; Framingham risk score (FRS), and the atherosclerotic cardiovascular disease risk score; among this population.
Methods:
One hundred fifty-three HD patients were enroled in this retrospective cross-sectional study from two HD centres in Syria, from March 2021 to March 2022. Dyslipidemia is considered as follows; hyper-total cholesterol (TC) (≥200 mg/dl), hyper-triglycerides (TG), (≥150 mg/dl), hyper-low-density lipoprotein (LDL) (≥100 mg/dl), hypo-high-density lipoprotein (HDL) (<40 mg/dl), hyper-Non-HDL (≥130 mg/dl).
Results:
The most prevalent dyslipidemic parameter was low HDL (72.50%) followed by increased TGs (37.30%). TC, LDL, HDL, and Non-HDL showed differences between males and females (P=0.001, 0.015, 0.024, and 0.025; respectively). These parameters were higher in females. History of CVD showed associations with TC, LDL, HDL, and non-HDL (P=0.003, 0.007, 0.004, and 0.004; respectively). Additionally, statins showed effects on TC, LDL, and non-HDL (P=0.003, 0.0002, and 0.002; respectively); however, no relation with TG and HDL (P=0.9 and 0.4). HDL level showed differences in low (7.5%) and intermediate (10%) FRS (P=0.01 and 0.028; respectively); however, it did not show a difference in high (20%) FRS (P=0.68). The lipids profile did not show differences in different thresholds of atherosclerotic cardiovascular disease scores.
Conclusion:
The prevalence of dyslipidemia was high in HD patients in Syria. All lipid parameters except TG showed differences between males and females. Comparisons of lipid parameters with CVD risk stratifications support the need for further studies to prove the benefits of these scores in CVD prediction among the dialysis population.
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