Association between stress hyperglycemia ratio and diabetes mellitus mortality in American adults: a retrospective cohort study and predictive model establishment based on machine learning algorithms (NHANES 2009–2018)

Association between stress hyperglycemia ratio and diabetes mellitus mortality in American adults: a retrospective cohort study and predictive model establishment based on machine learning algorithms (NHANES 2009–2018)

Abstract Background Stress hyperglycemia is a physiological response of the body under stress to make adaptive adjustments in response to changes in the internal environment. The stress hyperglycemia ratio (SHR) is a new indicator after adjusting the basal blood glucose level of the population. Prev...

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Bibliographic Details
Main Authors: Fengjuan Yan, Limin Zhao, Xiaoqing Quan, Jialiang Zhu
Format: Article
Language:English
Published: BMC 2024-04-01
Series:Diabetology & Metabolic Syndrome
Subjects:
Stress hyperglycemia ratio
NHANES
Machine learning algorithm
Retrospective cohort
Mediating effect
Online Access:https://doi.org/10.1186/s13098-024-01324-w

Internet

https://doi.org/10.1186/s13098-024-01324-w

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