The Associations of Lipid Profiles With Cardiovascular Diseases and Death in a 10-Year Prospective Cohort Study

Dong, Jia-Yi; Yang, Song; Zhuang, Qian; Sun, Junxiang; Wei, Pengfei; Zhao, Xianxian; Chen, Yanchun; Chen, Xiaotian; Li, Mengxia; Wei, Lai; Chen, Changying; Yao, Fan; Shen, Chong

doi:10.3389/fcvm.2021.745539

Cited by 43 publications

(35 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, the mean HDL cholesterol of the male group (83.35 mg/dl) was much higher than that of the female group (48.35 mg/dl). The finding was in line with previous studies which indicated that the elevated levels of conventional lipids indices, including total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), and triglycerides (TG), and the reduced level of high-density lipoprotein cholesterol (HDLC) contributed to the increased risk of CVD incidence ( 9 ). However, as HDL had been acknowledged so, there were actually studies stating that the levels of HDL serum hardly correlates with its quality, rendering its predictive value of cardiovascular risks inaccurate ( 10 ).…”

Section: Discussionsupporting

confidence: 92%

Risk of Cardiovascular Complication Among Type 2 Diabetes Mellitus Patients in Medan, Indonesia. A Cross-sectional Study

Amelia¹,

Wijaya²,

Rusdiana³

et al. 2022

Med Arch

View full text Add to dashboard Cite

Background: Cardiovascular disease (CVD) is a disease associated with impaired heart and blood vessel function. The occurrence of Diabetes Mellitus (DM) is due to an imbalance in blood glucose that could cause damage to large and small blood vessels and increase platelet aggregation, contributing to atherosclerosis and cardiovascular disease. It could be attributed to high blood pressure, smoking, diabetes, lack of movement, obesity, high cholesterol, unbalanced diet. CVD can be prevented, especially in at-risk groups, with risk assessment utilizing the Framingham Risk Score (FRS). Objective The study aimed to to analyze the risk of CVD according to the Framingham Risk Score (FRS) in type 2 DM patients in Medan Methods: The data were collected with the Framingham Risk Score, which consisted of sub-variables of age, total cholesterol, HDL cholesterol, systolic blood pressure (SBM), history of DM, and history of smoking, which were assessed by gender. It was a cross-sectional analytic study with consecutive sampling on 252 respondents, namely DM patients who came for treatment or control to the health centers in Medan and fulfilled the inclusion and exclusion criteria. The data were then analyzed with SPSS. Results: The respondents consisted of 197 women (78.2%) and 55 men (21.8%). The results were predominated with high risk patients (139, 55.2%), followed by those with medium risks (80, 31.7%), and low risks (33, 13.1%). Chi-square test yielded a significant association between each sub-variable of CVD risk factors and the risks based on FRS in type 2 DM patients Conclusion: Each sub-variable of CVD risk factors and the risks on FRS among type 2 DM patients. In future studies, it is recommended to include that a larger number of samples in the community with a balanced proportion of men and women.

show abstract

Section: Discussionsupporting

confidence: 92%

Risk of Cardiovascular Complication Among Type 2 Diabetes Mellitus Patients in Medan, Indonesia. A Cross-sectional Study

Amelia¹,

Wijaya²,

Rusdiana³

et al. 2022

Med Arch

View full text Add to dashboard Cite

show abstract

“…The clinical management of patients with cardiovascular diseases and an accurate estimation of 10-year risk are critically dependent on their level of LDL-C [ 18 ]. Maureen et al reported the new Sampson equation to estimate LDL-C more accurately than traditional methods.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of Sampson equation for LDL-C in acute coronary syndrome patients: a Chinese population-based cohort study

Xin

et al. 2022

Lipids Health Dis

View full text Add to dashboard Cite

Objective Low-density lipoprotein cholesterol (LDL-C) is an important cardiovascular disease marker that is used to estimate the risk of acute coronary syndrome in patients. The Sampson equation is an accurate LDL-C equation, but its application in Chinese patients is unclear. Methods This study enrolled 12,989 consecutive Chinese patients with the acute coronary syndrome (ACS), LDL-C levels were determined by direct standard method and two indirect equations (Friedewald and Sampson). The detection accuracy and consistency of these two equations were compared in patients classified by triglyceride (TG). In addition, the efficiency of the Sampson equation was also evaluated in patients with different comorbidities. Results Patients were divided into six groups according to TG level, and indicated that the Sampson formula was more accurate than the Friedewald formula in all TG spectrums (P < 0.001). The Friedewald formula may underestimate the risk in patients with TG > 400 mg/dL, especially in TG > 800 mg/dL group (r: 0.931 vs. 0.948, 0.666 vs. 0.898, respectively). Compared with the Friedewald equation, the Sampson equation showed more advantages in female, age ≥ 65, body index mass (BMI) < 25, non-smoker, and non-diabetes (0.954 vs. 0.937, 0.956 vs. 0.934, 0.951 vs. 0.939, 0.951 vs. 0.936, and 0.947 vs. 0.938, respectively) than those in male, age < 65, BMI ≥ 25, smoker, and diabetes. Conclusions Compared with the Friedewald equation, the Sampson equation is more accurate for LDL-C evaluation in Chinese patients diagnosed with ACS, especially in patients with hypertriglyceridemia even in those with TG > 800 mg/dL. Additionally, the Sampson equation demonstrates greater accuracy even in subgroups of various baseline characteristics and comorbidities.

show abstract

“…After excluding 30 baseline stroke patients, the remaining 4,098 patients were followed up to July 27th, 2020 for stroke onset. For more information of this cohort, please refer to our previous published literature ( 22 ).…”

Section: Methodsmentioning

confidence: 99%

Interaction Analysis of Abnormal Lipid Indices and Hypertension for Ischemic Stroke: A 10-Year Prospective Cohort Study

Wei

Sun

Xie

et al. 2022

Front. Cardiovasc. Med.

Self Cite

View full text Add to dashboard Cite

BackgroundDyslipidemia and hypertension are two important independent risk factors for ischemic stroke (IS); however, their combined effect on IS remains uncertain.ObjectivesThis present study aimed to evaluate the interaction effect of hypertension and abnormal lipid indices on IS in a 10-year prospective cohort in Chinese adults.MethodsThe cohort study of 4,128 participants was conducted in May 2009 and was followed up to July 2020. All qualified participants received a questionnaire survey, physical examination, and blood sample detection. Cox regression was used to evaluate the association of dyslipidemia and hypertension with IS, and calculate the hazard ratio (HR) and 95% confidence interval (CI). The relative excess risk of interaction (RERI) and the HR (95%CI) of interaction terms were used to examine additive and multiplicative interactions.ResultsIn the hypertensive population, Non-HDL-C ≥190 mg/dl, LDL-C/HDL-C ≥2 and HDL-C ≥60 mg/dl were statistically associated with IS, and after adjusting for covariates, HRs (95%CIs) were 1.565 (1.007–2.429), 1.414 (1.034–1.933) and 0.665 (0.450–0.983), respectively. While in the non-hypertension population, no significant association of Non-HDL-C ≥190 mg/dl, LDL-C/HDL-C ≥2, and HDL-C ≥60 was detected with IS (P > 0.05). There was a significant association between TC/HDL-C ≥ 3.6 and the decreased risk of IS in the non-hypertension population, and the HR (95%CI) was 0.479 (0.307–0.750). Whereas, a similar association was not observed in the hypertensive population. HDL-C ≥ 60 mg/dl, Non-HDL-C ≥ 190 mg/dl, TC/HDL-C ≥ 3.6, and TG/HDL-C ≥ 1 have additive and multiplicative interactions with hypertension (P < 0.05). The RERIs (95% CIs) of the additive interaction are −0.93 (−1.882–0.044), 1.394 (0.38–2.407), 0.752 (0.354–1.151) and 0.575 (0.086–1.065), respectively. The HRs (95% CIs) of the multiplicative interaction terms were 0.498 (0.272–0.911), 4.218 (1.230–14.464), 2.423 (1.437–4.086) and 1.701 (1.016–2.848), respectively.ConclusionHigh concentration of HDL-C reduces the impact of hypertension on IS, while the high concentration of Non-HDL-C, TC/HDL-C, and TG/HDL-C positively interact with hypertension affecting the incidence of IS. This study provides useful evidence for the combined effects of dyslipidemia and hypertension in predicting IS.

show abstract

The Associations of Lipid Profiles With Cardiovascular Diseases and Death in a 10-Year Prospective Cohort Study

Cited by 43 publications

References 37 publications

Risk of Cardiovascular Complication Among Type 2 Diabetes Mellitus Patients in Medan, Indonesia. A Cross-sectional Study

Risk of Cardiovascular Complication Among Type 2 Diabetes Mellitus Patients in Medan, Indonesia. A Cross-sectional Study

Evaluation of Sampson equation for LDL-C in acute coronary syndrome patients: a Chinese population-based cohort study

Interaction Analysis of Abnormal Lipid Indices and Hypertension for Ischemic Stroke: A 10-Year Prospective Cohort Study

Contact Info

Product

Resources

About