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Association between inflammatory biomarkers and mortality in individuals with type 2 diabetes: NHANES 2005-2018.
Zhang, Jiaqi; Fan, Xiaoting; Xu, Yan; Wang, Kaiyuan; Xu, Tong; Han, Tianyang; Hu, Chengxiang; Li, Runhong; Lin, Xinli; Jin, Lina.
Afiliação
  • Zhang J; Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin 130021, China. Electronic address: zhangjiaq22@mails.jlu.edu.cn.
  • Fan X; Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin 130021, China. Electronic address: fanxt22@mails.jlu.edu.cn.
  • Xu Y; Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin 130021, China. Electronic address: yanxu21@mails.jlu.edu.cn.
  • Wang K; Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin 130021, China. Electronic address: wangky23@mails.jlu.edu.cn.
  • Xu T; Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin 130021, China. Electronic address: tongxu22@mails.jlu.edu.cn.
  • Han T; Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin 130021, China. Electronic address: hanty23@mails.jlu.edu.cn.
  • Hu C; Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin 130021, China. Electronic address: hucx22@mails.jlu.edu.cn.
  • Li R; Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin 130021, China. Electronic address: lrh22@mails.jlu.edu.cn.
  • Lin X; Department of Child and Adolescent Health, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin 130021, China. Electronic address: country.lxl@163.com.
  • Jin L; Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin 130021, China. Electronic address: jinln@jlu.edu.cn.
Diabetes Res Clin Pract ; 209: 111575, 2024 Mar.
Article em En | MEDLINE | ID: mdl-38346591
ABSTRACT

PURPOSE:

This study aimed to examine independent association between inflammatory biomarkers and all-cause mortality as well as cardio-cerebrovascular disease (CCD) mortality among U.S. adults with diabetes.

METHODS:

A cohort of 6412 U.S. adults aged 20 or older was followed from the start until December 31, 2019. Statistical models such as Cox proportional hazards model (Cox) and Kaplan-Meier (K-M) survival curves were employed to investigate the associations between the inflammatory biomarkers and all-cause mortality and CCD mortality.

RESULTS:

After adjusting for confounding factors, the highest quartile of inflammatory biomarkers (NLR HR = 1.99; 95 % CI1.54-2.57, MLR HR = 1.93; 95 % CI1.46-2.54, SII HR = 1.49; 95 % CI1.18-1.87, SIRI HR = 2.32; 95 % CI1.81-2.96, nLPR HR = 2.05; 95 % CI1.61-2.60, dNLR HR = 1.94; 95 % CI1.51-2.49, AISI HR = 1.73; 95 % CI1.4 1-2.12)) were positively associated with all-cause mortality compared to those in the lowest quartile. K-M survival curves indicated that participants with an inflammatory biomarker above a certain threshold had a higher risk of both all-cause mortality and CCD mortality (Log rank P < 0.05).

CONCLUSION:

Some biomarkers such as NLR, MLR, SII, AISI, SIRI, and dNLR, are significantly associated with all-cause mortality and CCD mortality among U.S. adults with diabetes. The risk of both outcomes increased when the biomarkers surpassed a specific threshold.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 2 Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Adult / Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 2 Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Adult / Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article