Literature DB >> 29313102

Age affects the prognostic impact of diabetes in chronic heart failure.

Filipe Manuel Cunha1, Joana Pereira2, Ana Ribeiro2, Marta Amorim2, Sérgio Silva3, José Paulo Araújo2,4, Adelino Leite-Moreira4,5, Paulo Bettencourt4,3, Patrícia Lourenço2,4.   

Abstract

AIMS: Increasing age is an established prognostic determinant in chronic heart failure (HF). Diabetes often complicates HF in its course and appears to worsen HF prognosis. A differential impact of diabetes depending on patients' age was not yet studied. We evaluated the impact of diabetes in the mortality of HF patients according to their age.
METHODS: We studied a cohort of chronic ambulatory HF patients prospectively recruited. Patients were on optimized evidence-based therapy, and they were excluded if on renal replacement therapy or if they had any therapy modification or hospitalizations in the previous 2 months. Patients were followed for up to 5 years; all-cause mortality was analyzed. Mortality predictors were assessed using a Cox regression. Analysis was stratified according to patient's age: cutoff 75 years. Multivariate models were built. Interaction between diabetes and age was formally tested.
RESULTS: We studied 283 chronic HF patients; mean age was 69 years and 70.3% were male; 58.0% had severe systolic dysfunction; 105 (37.1%) were diabetic. In patients with less than 75 years, the coexistence of diabetes predicted a multivariate adjusted 1.98 (95% CI 1.13-3.46) 5-year death risk while in older patients (≥ 75 years) no significant association was reported. Age interacted with the prognostic impact of diabetes, p for interaction = 0.04.
CONCLUSIONS: The prognostic impact of diabetes in chronic HF depends on patient's age. In patients < 75 years, the coexistence of diabetes predicts an almost double risk of 5-year mortality; no such association exists in patients with 75 years or above. Diabetes predicts mortality only in younger HF patients.

Entities:  

Keywords:  Age; Diabetes; Heart failure; Prognosis

Mesh:

Year:  2018        PMID: 29313102     DOI: 10.1007/s00592-017-1092-9

Source DB:  PubMed          Journal:  Acta Diabetol        ISSN: 0940-5429            Impact factor:   4.280


  2 in total

1.  Development and Validation of a Nomogram Model for Predicting the Risk of Readmission in Patients with Heart Failure with Reduced Ejection Fraction within 1 Year.

Authors:  Yue Hu; Xiaotong Wang; Shengjue Xiao; Chunyan Huan; Huimin Wu; Tao Xu; Minjia Guo; Hong Zhu; Defeng Pan
Journal:  Cardiovasc Ther       Date:  2022-09-16       Impact factor: 3.368

2.  Improving Risk Identification of Adverse Outcomes in Chronic Heart Failure Using SMOTE+ENN and Machine Learning.

Authors:  Ke Wang; Jing Tian; Chu Zheng; Hong Yang; Jia Ren; Chenhao Li; Qinghua Han; Yanbo Zhang
Journal:  Risk Manag Healthc Policy       Date:  2021-06-08
  2 in total

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