Analyzing Lipid Profiles and Dyslipidemia Prevalence in Hypertensive Patients: a Cross-sectional Study from Primary Community Health Institutions

Overview

Journal Front Med (Lausanne)

Specialty General Medicine

Date 2025 Jan 1

PMID 39741514

Authors

Wenxin Wang

Xinmin Li

Deliang Lv

Xiaobing Wu

Fengzhu Xie

Wei Xie

Jinxiao Wang

Zhiguang Zhao

Affiliations

Soon will be listed here.

Abstract

Background: A significant proportion of hypertensive patients also suffer from comorbid dyslipidemia, which critically influences their treatment outcomes and overall prognosis. Given its implications, the lipid profiles of hypertensive individuals warrant increased attention for more effective clinical management.

Methods: We analyzed data from 92,443 hypertensive patients registered at primary community health institutions in 2021. Employing a cross-sectional study design, we assessed the distribution of lipid levels and the prevalence of various dyslipidemia subtypes. Stepwise forward logistic regression was used to identify factors associated with dyslipidemia, adjusting for gender, age, body size, and other relevant characteristics.

Results: According to the 2023 Chinese Guidelines for the Management of Lipids, the overall prevalence of dyslipidemia was 37.5%. Subtype analysis revealed prevalence of high total cholesterol (TC) at 11.2%, high triglycerides (TG) at 16.0%, low high-density lipoprotein cholesterol (HDL-C) at 16.0%, and high low-density lipoprotein cholesterol (LDL-C) at 10.2%. TG abnormalities were more common among males (16.8%), whereas TC abnormalities predominated in females (14.4%). Notably, hypertensive patients with diabetes had higher levels of TG compared to non-diabetics ( = 0.009). Those with stroke and liver disease comorbidities exhibited lower TG levels than their counterparts ( = 0.018 and  < 0.001, respectively). Additionally, HDL-C levels were significantly lower in hypertensives with diabetes, coronary artery disease, and central obesity ( < 0.001,  = 0.026, p < 0.001, respectively). Regression analysis indicated that dyslipidemia prevalence correlates significantly with gender, age, diabetes, coronary heart disease, stroke, family history of hypertension, body mass index (BMI), central obesity, frequency of physical activity, smoking status, regular alcohol consumption, and abdominal ultrasound findings.

Conclusion: Our study underscores the necessity of rigorous lipid monitoring and analysis of dyslipidemia-influencing factors for the development of effective health management strategies within the community. There is a critical need to examine lipid profiles comprehensively and implement targeted therapeutic interventions aimed at managing hyperlipidemia, a modifiable risk factor for cardiovascular disease.

References

Xi Y, Niu L, Cao N, Bao H, Xu X, Zhu H . Prevalence of dyslipidemia and associated risk factors among adults aged ≥35 years in northern China: a cross-sectional study. BMC Public Health. 2020; 20(1):1068. PMC: 7339536. DOI: 10.1186/s12889-020-09172-9. View

Minzer S, Losno R, Casas R . The Effect of Alcohol on Cardiovascular Risk Factors: Is There New Information?. Nutrients. 2020; 12(4). PMC: 7230699. DOI: 10.3390/nu12040912. View

Atar D, Jukema J, Molemans B, Taub P, Goto S, Mach F . New cardiovascular prevention guidelines: How to optimally manage dyslipidaemia and cardiovascular risk in 2021 in patients needing secondary prevention?. Atherosclerosis. 2021; 319:51-61. DOI: 10.1016/j.atherosclerosis.2020.12.013. View

Kirkpatrick C, Sikand G, Petersen K, Anderson C, Aspry K, Bolick J . Nutrition interventions for adults with dyslipidemia: A Clinical Perspective from the National Lipid Association. J Clin Lipidol. 2023; 17(4):428-451. DOI: 10.1016/j.jacl.2023.05.099. View

Moran A, Gu D, Zhao D, Coxson P, Wang Y, Chen C . Future cardiovascular disease in china: markov model and risk factor scenario projections from the coronary heart disease policy model-china. Circ Cardiovasc Qual Outcomes. 2010; 3(3):243-52. PMC: 2937540. DOI: 10.1161/CIRCOUTCOMES.109.910711. View

Saeed A, Virani S, Mulukutla S, Chow C . Dyslipidemia and Cardiovascular Disease Prevention in South Asians: A Review and Discussion of Causes, Challenges and Management Strategies. Curr Diabetes Rev. 2021; 17(9):e011221190238. DOI: 10.2174/1573399817999210112192419. View

Klop B, Torres do Rego A, Cabezas M . Alcohol and plasma triglycerides. Curr Opin Lipidol. 2013; 24(4):321-6. DOI: 10.1097/MOL.0b013e3283606845. View

Razman A, Baharudin N, Mohd Kasim N, Al-Khateeb A, Ismail Z, Nawawi H . Undertreatment and Underachievement of LDL-C Target among Individuals with High and Very High Cardiovascular Risk in the Malaysian Community. Healthcare (Basel). 2022; 10(12). PMC: 9777945. DOI: 10.3390/healthcare10122448. View

Ormazabal V, Nair S, Elfeky O, Aguayo C, Salomon C, A Zuniga F . Association between insulin resistance and the development of cardiovascular disease. Cardiovasc Diabetol. 2018; 17(1):122. PMC: 6119242. DOI: 10.1186/s12933-018-0762-4. View

10.

Che B, Zhong C, Zhang R, Pu L, Zhao T, Zhang Y . Triglyceride-glucose index and triglyceride to high-density lipoprotein cholesterol ratio as potential cardiovascular disease risk factors: an analysis of UK biobank data. Cardiovasc Diabetol. 2023; 22(1):34. PMC: 9936712. DOI: 10.1186/s12933-023-01762-2. View

11.

Ferro C, Mark P, Kanbay M, Sarafidis P, Heine G, Rossignol P . Lipid management in patients with chronic kidney disease. Nat Rev Nephrol. 2018; 14(12):727-749. DOI: 10.1038/s41581-018-0072-9. View

12.

Borghi C, Fogacci F, Agnoletti D, Cicero A . Hypertension and Dyslipidemia Combined Therapeutic Approaches. High Blood Press Cardiovasc Prev. 2022; 29(3):221-230. PMC: 9050771. DOI: 10.1007/s40292-022-00507-8. View

13.

Wang M, Liu M, Li F, Guo C, Liu Z, Pan Y . Gender heterogeneity in dyslipidemia prevalence, trends with age and associated factors in middle age rural Chinese. Lipids Health Dis. 2020; 19(1):135. PMC: 7291723. DOI: 10.1186/s12944-020-01313-8. View

14.

Lin H, Wu J, Chen M, Chen F, Liao Y, Wu Y . Prevalence of dyslipidemia and prediction of 10-year CVD risk among older adults living in southeast coastal regions in China: a cross-sectional study. Clin Interv Aging. 2019; 14:1119-1129. PMC: 6590841. DOI: 10.2147/CIA.S207665. View

15.

. Repositioning of the global epicentre of non-optimal cholesterol. Nature. 2020; 582(7810):73-77. PMC: 7332422. DOI: 10.1038/s41586-020-2338-1. View

16.

Liang Z, Qiu Q, Wu J, Zhou J, Xu T, Zhang M . Alcohol Drinking, Dyslipidemia, and Diabetes: A Population-based Prospective Cohort Study among Inner Mongolians in China. Biomed Environ Sci. 2016; 29(8):555-562. DOI: 10.3967/bes2016.074. View

17.

Li Z, Zhu G, Chen G, Luo M, Liu X, Chen Z . Distribution of lipid levels and prevalence of hyperlipidemia: data from the NHANES 2007-2018. Lipids Health Dis. 2022; 21(1):111. PMC: 9615374. DOI: 10.1186/s12944-022-01721-y. View

18.

Muneeb M, Khan A, Khan Niazi A, Khan M, Chatha Z, Kazmi T . Patterns of Dyslipidemia Among Acute Coronary Syndrome (ACS) Patients at a Tertiary Care Hospital in Lahore, Pakistan. Cureus. 2023; 14(12):e32378. PMC: 9828027. DOI: 10.7759/cureus.32378. View

19.

Mansour M, Tamim H, Nasreddine L, El Khoury C, Hwalla N, Chaaya M . Prevalence and associations of behavioural risk factors with blood lipids profile in Lebanese adults: findings from WHO STEPwise NCD cross-sectional survey. BMJ Open. 2019; 9(8):e026148. PMC: 6707694. DOI: 10.1136/bmjopen-2018-026148. View

20.

Iloh G, Ofoedu J, Amadi A, Obikwu C . The magnitude of atherogenic dyslipidaemia among geriatric Nigerians with systemic hypertension in a rural hospital in Eastern Nigeria. Niger J Med. 2013; 21(3):320-5. View