Renal function decline and heart failure hospitalisation in patients with type 2 diabetes: Dynamic predictions from the prospective SURDIAGENE cohort.
Dynamic prediction
Estimated glomerular filtration rate
Heart failure hospitalisation
Personalized medicine
Type 2 diabetes
Journal
Diabetes research and clinical practice
ISSN: 1872-8227
Titre abrégé: Diabetes Res Clin Pract
Pays: Ireland
ID NLM: 8508335
Informations de publication
Date de publication:
Dec 2022
Dec 2022
Historique:
received:
21
06
2022
revised:
27
10
2022
accepted:
06
11
2022
pubmed:
15
11
2022
medline:
15
12
2022
entrez:
14
11
2022
Statut:
ppublish
Résumé
For type 2 diabetes persons, we assessed the association between renal function decline and heart failure hospitalisation (HFH) and validated dynamic HFH predictions (DynHFH) based on repeated estimated Glomerular Filtration Rate (eGFR) values. We studied 1413 patients from the SURDIAGENE cohort. From a joint model for longitudinal CKD-EPI measures and HFH risk, we calculated the probability of being HFH-free in the next five years. The mean eGFR decline was estimated at 1.48 ml/min/1.73 m Renal function decline was significantly associated with the HFH risk. In the era of computer-assisted medical decisions, the DynHFH, a tool that dynamically predicts HFH in type 2 diabetes persons (https://shiny.idbc.fr/DynHFH), might be helpful for precision medicine and the implementation of stratified medical decision-making.
Identifiants
pubmed: 36375567
pii: S0168-8227(22)00966-4
doi: 10.1016/j.diabres.2022.110152
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
110152Informations de copyright
Copyright © 2022 Elsevier B.V. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.