Unknown

Dataset Information

0

Association of cardio-renal biomarkers and mortality in the U.S.: a prospective cohort study.


ABSTRACT:

Objective

Diabetes poses a significant threat to human health. There is a lack of large-scale cohort studies to explore the association between mortality risk and indicators beyond blood glucose monitoring in diabetic populations.

Methods

Multivariable Cox proportional hazards regression models were performed to investigate the association of 13 blood biomarkers with mortality risk in the National Health and Nutrition Examination Survey (NHANES) and biomarker levels were log-transformed and correlated with mortality.

Results

During a median follow-up of 7.42 years, 1783 diabetic patients were enrolled. Compared to traditional risk factors, the addition of hs-cTnT, hs-cTnI, NT-proBNP, creatinine, cystatin C, and β-2 microglobulin biomarkers increased the predictive ability for all-cause mortality by 56.4%, 29.5%, 38.1%, 18.8%, 35.7%, and 41.3%, respectively. However, the inclusion of blood glucose monitoring had no impact on the prediction of all-cause mortality. Compared with the 1st quartiles of creatinine and Cystatin C, the risk of diabetes mortality were higher in the highest quartiles (HR: 5.16, 95% CI: 1.87-14.22; HR: 10.06, 95% CI: 4.20-24.13).

Conclusions

In the diabetic population, elevated plasma levels of hs-cTnT, hs-cTnI, NT-proBNP, creatinine, cystatin C, and β-2 microglobulin serve as robust and straightforward predictors of long-term mortality compared to blood glucose levels and HbA1c values. Creatinine and cystatin C stand out as more precise markers for predicting diabetes mortality prior to blood glucose monitoring.

SUBMITTER: Yang F 

PROVIDER: S-EPMC10542251 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature

altmetric image

Publications

Association of cardio-renal biomarkers and mortality in the U.S.: a prospective cohort study.

Yang Fan F   Wang Mingsi M   Chen Yuzhu Y   Wu Jianjun J   Li Yilan Y  

Cardiovascular diabetology 20230929 1


<h4>Objective</h4>Diabetes poses a significant threat to human health. There is a lack of large-scale cohort studies to explore the association between mortality risk and indicators beyond blood glucose monitoring in diabetic populations.<h4>Methods</h4>Multivariable Cox proportional hazards regression models were performed to investigate the association of 13 blood biomarkers with mortality risk in the National Health and Nutrition Examination Survey (NHANES) and biomarker levels were log-trans  ...[more]

Similar Datasets

2024-12-16 | PXD055932 | Pride
| S-EPMC11483540 | biostudies-literature
| S-EPMC3987964 | biostudies-literature
| PRJEB53187 | ENA
| S-EPMC10509744 | biostudies-literature
| S-EPMC11542460 | biostudies-literature
| S-EPMC11264843 | biostudies-literature
| S-EPMC7932559 | biostudies-literature
| S-EPMC6736694 | biostudies-literature
| S-EPMC5570474 | biostudies-literature