Association between ambient temperature and cardiovascular diseases related hospital admissions in Lanzhou, China

Jin, Jianjian; Meng, Xiaoxue; Wang, Dongmei; Han, Bing; Wu, Tingting; Xie, Jing; Zhang, Qi; Dong-yang, Xie; Zhang, Zheng

doi:10.1016/j.heliyon.2023.e12997

Cited by 4 publications

(2 citation statements)

References 65 publications

(99 reference statements)

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“…A study of a subject on the epidemiology demonstrated that as the level of RC increases, there is a corresponding increase in the prevalence of T2DM, hypertension, and hypertriglyceridemia [ 12 – 15 ]. Furthermore, the correlation between RC and MetS is characterized by a positive feedback loop involving IR, chronic inflammation, hypertension and abnormal lipid metabolism [ 16 – 19 ]. RC has the impact on these factors and its reciprocal correlation with the results in the accelerated progression of MetS [ 16 , 17 ].…”

Section: Introductionmentioning

confidence: 99%

Correlation between remnant cholesterol and hyperuricemia in patients with type 2 diabetes mellitus: a cross-sectional study

Lin,

Xu,

Teng

2024

Lipids Health Dis

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Background Remnant cholesterol (RC) has been known as an important factor for the assessment of the metabolic syndrome (Mets) risk. However, the correlation between RC and hyperuricemia (HUA) in type 2 diabetes mellitus (T2DM) remains unclear. This study aims to explore the correlation between RC and HUA in patients with T2DM. Methods A total of 2956 patients with T2DM admitted to the Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University from 2020 to 2022 were included. The correlation between RC and HUA was evaluated with Spearman’s correlation, multiple logistic regression, subgroup analyses, receiver operating characteristic (ROC) curves analyses and generalized smooth curve fitting. Total cholesterol (TC) < 5.18mmol/L was defined as normal TC. Results RC was correlated with uric acid in patients with T2DM (Spearman’s correlation coefficient = 0.279, P < 0.001). According to the multiple logistic regression analyses, there was an independent positive correlation between RC and HUA (OR = 1.63, 95%CI = 1.40, 1.90). In addition, a non-linear correlation between RC and HUA was identified. The area under the ROC curve (AUC) of RC (0.658, 95%CI = 0.635, 0.681) was the largest compared with those of low-density lipoprotein cholesterol (LDL-C), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C) and TC. Subgroup analyses showed a more significant positive correlation among females or normal TC groups. Conclusion Elevated RC is correlated with HUA in patients with T2DM significantly and positively. RC is better in its predictability for HUA than that of conventional lipid indexes.

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Section: Introductionmentioning

confidence: 99%

Correlation between remnant cholesterol and hyperuricemia in patients with type 2 diabetes mellitus: a cross-sectional study

Lin,

Xu,

Teng

2024

Lipids Health Dis

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“…RC and MetS are linked by a positive feedback loop involving insulin resistance, chronic inflammation, abnormal lipid metabolism, and hypertension. RC affects these factors and is also affected by them, leading to faster MetS progression [ 17 – 20 ]. Such findings suggest significant similarities between concomitant alterations of RC and MetS in the underlying pathogenesis.…”

Section: Introductionmentioning

confidence: 99%

Association between remnant cholesterol, metabolic syndrome, and cardiovascular disease: post hoc analysis of a prospective national cohort study

Jin,

Hu,

Francois

et al. 2023

Eur J Med Res

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Background Epidemiologic evidence suggested that remnant cholesterol (RC) is associated with the occurrence of cardiovascular disease (CVD). In recent years, RC has been connected with different types of cardiometabolic disorders. We aim to clarify the relationship among RC, metabolic syndrome (MetS) and subsequent CVD. Methods We enrolled 7471 individuals into our study from China Health and Nutrition Survey in 2009 and followed participants till 2015. RC was calculated as total cholesterol minus low-density lipoprotein cholesterol minus high-density lipoprotein cholesterol. CVD was defined as myocardial infarction and stroke. Multivariate logistic regression and Cox regression models were used to evaluate the association between RC and MetS as well as CVD. We further investigated whether the association between RC and CVD was mediated by MetS. Results Of all subjects, 24.73% were diagnosed with MetS and 2.74% developed CVD. Multivariate logistic regression analysis elucidated that per-tertile-increase in RC was associated with MetS after adjusting all the confounder factors, (odds ratio: 3.49, 95% confidence interval CI 3.21–3.79, P for trend < 0.001). And per-tertile-increase RC had a significant increased risk of CVD (hazard ratio: 1.26, 95% CI 1.06–1.50, P for trend = 0.008). Meanwhile, we found that RC level is associated with the prevalence of all the components of MetS. Significant indirect effects of RC between MetS and CVD were found, with the index mediated at 48.46% of the association. Conclusions Our study provides the evidence that RC level is independently associated with the prevalence of MetS and each component of MetS. MetS partially mediated the association between RC level and CVD risk.

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Cardiovascular admission risk attributable to hot apparent temperature: a study in a rural area of northwest China

Zhai,

Gao,

Wang

2024

International Journal of Environmental Health Research

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Association between ambient temperature and cardiovascular diseases related hospital admissions in Lanzhou, China

Cited by 4 publications

References 65 publications

Correlation between remnant cholesterol and hyperuricemia in patients with type 2 diabetes mellitus: a cross-sectional study

Correlation between remnant cholesterol and hyperuricemia in patients with type 2 diabetes mellitus: a cross-sectional study

Association between remnant cholesterol, metabolic syndrome, and cardiovascular disease: post hoc analysis of a prospective national cohort study

Cardiovascular admission risk attributable to hot apparent temperature: a study in a rural area of northwest China

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