Prognostic effects of glycaemic variability on diastolic heart failure and type 2 diabetes mellitus: insights and 1-year mortality machine learning prediction model

GV was determined as an independent risk factor for short-term and long-term all-cause mortality in patients with DHF and T2DM, with a potential intervention threshold around 25.0%. The ML model incorporating GV demonstrated strong predictive performance for 1-year all-cause mortality, highlighting its importance in early risk stratification management of these patients.

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Publication Details

Journal
Diabetology & Metabolic Syndrome
Published
2024-11-23
DOI
https://doi.org/10.1186/s13098-024-01534-2
Citations
5
Primary Topic
Diabetes Management and Research
Type
article
Field-Weighted Citation Impact
1.79
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article

Prognostic effects of glycaemic variability on diastolic heart failure and type 2 diabetes mellitus: insights and 1-year mortality machine learning prediction model

Mingjuan Yang, Yang Chen, Zhenkun Yang, Yuanjie Li et al.
5 citations
Diabetology & Metabolic Syndrome
Diabetes Management and Research
1.79
article

Prognostic effects of glycaemic variability on diastolic heart failure and type 2 diabetes mellitus: insights and 1-year mortality machine learning prediction model

Mingjuan Yang, Yang Chen, Zhenkun Yang, Yuanjie Li, Ziyi Zhong, Taipu Guo, Coleen Ditchfield, Yang Liu
article en
5 citations

Abstract

GV was determined as an independent risk factor for short-term and long-term all-cause mortality in patients with DHF and T2DM, with a potential intervention threshold around 25.0%. The ML model incorporating GV demonstrated strong predictive performance for 1-year all-cause mortality, highlighting its importance in early risk stratification management of these patients.

Diabetology & Metabolic SyndromeVol. 16(1)
Nanchang University (CN), University of Liverpool (GB), Tianjin Medical University General Hospital (CN), Liverpool Heart and Chest Hospital (GB), Whiston Hospital (GB)
Good health and well-being
Openalex Percentile: Top 13%
Diabetes Management and Research
1.79
DOIOpen Access PDFOpenAlex
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Prognostic effects of glycaemic variability on diastolic heart failure and type 2 diabetes mellitus: insights and 1-year mortality machine learning prediction model — Mingjuan Yang, Yang Chen, et al. · Diabetology & Metabolic Syndrome (2024) | TGRS Research Map | TGRS