Cargando…

Association of the KDIGO Risk Classification with the Prevalence of Heart Failure in Patients with Type 2 Diabetes

The objectives of this study were to determine the main characteristics associated with the presence of heart failure (HF) in patients with type 2 diabetes (T2DM), and specifically to assess the association of the risk classification proposed by the Kidney Disease Improving Global Outcomes (KDIGO) g...

Descripción completa

Detalles Bibliográficos
Autores principales: Gimeno-Orna, José Antonio, Rodríguez-Padial, Luis, Anguita-Sánchez, Manuel, Barrios, Vivencio, Muñiz, Javier, Pérez, Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8541098/
https://www.ncbi.nlm.nih.gov/pubmed/34682756
http://dx.doi.org/10.3390/jcm10204634
_version_ 1784589147487338496
author Gimeno-Orna, José Antonio
Rodríguez-Padial, Luis
Anguita-Sánchez, Manuel
Barrios, Vivencio
Muñiz, Javier
Pérez, Antonio
author_facet Gimeno-Orna, José Antonio
Rodríguez-Padial, Luis
Anguita-Sánchez, Manuel
Barrios, Vivencio
Muñiz, Javier
Pérez, Antonio
author_sort Gimeno-Orna, José Antonio
collection PubMed
description The objectives of this study were to determine the main characteristics associated with the presence of heart failure (HF) in patients with type 2 diabetes (T2DM), and specifically to assess the association of the risk classification proposed by the Kidney Disease Improving Global Outcomes (KDIGO) guidelines with HF. The DIABET-IC study is a multicentre, observational, prospective and analytical study in T2DM patients recruited in Spanish hospitals. This work, which features a cross-sectional design, has been conducted with the data obtained at the inclusion visit. The main dependent variable analysed was the presence of HF. The predictive variables evaluated were the demography, clinic, laboratory testing (including natriuretic peptides) and echocardiography. Patients were classified according to the number of vascular territories with atherosclerotic involvement and the KDIGO risk category. Multivariate logistic regression models were performed to determine the risk posed by the various baseline variables to present HF at the time of study inclusion. The study included 1517 patients from 58 hospitals, with a mean age of 67.3 (standard deviation (SD): 10) years, out of which 33% were women. The mean DM duration was 14 (SD: 11) years. The prevalence of HF was 37%. In a multivariate analysis, the independent predictors of HF were increased age (odds ratio (OR) per 1 year = 1.02; p = 0.006), decreased systolic blood pressure (OR per 1 mmHg = 0.98; p < 0.001), decreased haemoglobin (OR per 1 g/dL = 0.86; p < 0.001), the presence of obstructive sleep apnoea (OR = 1.61; p = 0.006), the absence of hepatic steatosis (OR = 0.59; p = 0.016), the severity of atherosclerotic involvement (OR 1 territory = 1.38 and OR > 1 territory = 2.39; p = 0.02 and p < 0.001 respectively) and the KDIGO risk classification (high-risk OR = 2.46 and very high-risk OR = 3.39; p < 0.001 for both). The KDIGO risk classification is useful to screen for the presence of HF in T2DM patients. Therefore, we believe that it is necessary to carry out a systematic screening for HF in the high- and very high-risk KDIGO categories.
format Online
Article
Text
id pubmed-8541098
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-85410982021-10-24 Association of the KDIGO Risk Classification with the Prevalence of Heart Failure in Patients with Type 2 Diabetes Gimeno-Orna, José Antonio Rodríguez-Padial, Luis Anguita-Sánchez, Manuel Barrios, Vivencio Muñiz, Javier Pérez, Antonio J Clin Med Article The objectives of this study were to determine the main characteristics associated with the presence of heart failure (HF) in patients with type 2 diabetes (T2DM), and specifically to assess the association of the risk classification proposed by the Kidney Disease Improving Global Outcomes (KDIGO) guidelines with HF. The DIABET-IC study is a multicentre, observational, prospective and analytical study in T2DM patients recruited in Spanish hospitals. This work, which features a cross-sectional design, has been conducted with the data obtained at the inclusion visit. The main dependent variable analysed was the presence of HF. The predictive variables evaluated were the demography, clinic, laboratory testing (including natriuretic peptides) and echocardiography. Patients were classified according to the number of vascular territories with atherosclerotic involvement and the KDIGO risk category. Multivariate logistic regression models were performed to determine the risk posed by the various baseline variables to present HF at the time of study inclusion. The study included 1517 patients from 58 hospitals, with a mean age of 67.3 (standard deviation (SD): 10) years, out of which 33% were women. The mean DM duration was 14 (SD: 11) years. The prevalence of HF was 37%. In a multivariate analysis, the independent predictors of HF were increased age (odds ratio (OR) per 1 year = 1.02; p = 0.006), decreased systolic blood pressure (OR per 1 mmHg = 0.98; p < 0.001), decreased haemoglobin (OR per 1 g/dL = 0.86; p < 0.001), the presence of obstructive sleep apnoea (OR = 1.61; p = 0.006), the absence of hepatic steatosis (OR = 0.59; p = 0.016), the severity of atherosclerotic involvement (OR 1 territory = 1.38 and OR > 1 territory = 2.39; p = 0.02 and p < 0.001 respectively) and the KDIGO risk classification (high-risk OR = 2.46 and very high-risk OR = 3.39; p < 0.001 for both). The KDIGO risk classification is useful to screen for the presence of HF in T2DM patients. Therefore, we believe that it is necessary to carry out a systematic screening for HF in the high- and very high-risk KDIGO categories. MDPI 2021-10-09 /pmc/articles/PMC8541098/ /pubmed/34682756 http://dx.doi.org/10.3390/jcm10204634 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Gimeno-Orna, José Antonio
Rodríguez-Padial, Luis
Anguita-Sánchez, Manuel
Barrios, Vivencio
Muñiz, Javier
Pérez, Antonio
Association of the KDIGO Risk Classification with the Prevalence of Heart Failure in Patients with Type 2 Diabetes
title Association of the KDIGO Risk Classification with the Prevalence of Heart Failure in Patients with Type 2 Diabetes
title_full Association of the KDIGO Risk Classification with the Prevalence of Heart Failure in Patients with Type 2 Diabetes
title_fullStr Association of the KDIGO Risk Classification with the Prevalence of Heart Failure in Patients with Type 2 Diabetes
title_full_unstemmed Association of the KDIGO Risk Classification with the Prevalence of Heart Failure in Patients with Type 2 Diabetes
title_short Association of the KDIGO Risk Classification with the Prevalence of Heart Failure in Patients with Type 2 Diabetes
title_sort association of the kdigo risk classification with the prevalence of heart failure in patients with type 2 diabetes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8541098/
https://www.ncbi.nlm.nih.gov/pubmed/34682756
http://dx.doi.org/10.3390/jcm10204634
work_keys_str_mv AT gimenoornajoseantonio associationofthekdigoriskclassificationwiththeprevalenceofheartfailureinpatientswithtype2diabetes
AT rodriguezpadialluis associationofthekdigoriskclassificationwiththeprevalenceofheartfailureinpatientswithtype2diabetes
AT anguitasanchezmanuel associationofthekdigoriskclassificationwiththeprevalenceofheartfailureinpatientswithtype2diabetes
AT barriosvivencio associationofthekdigoriskclassificationwiththeprevalenceofheartfailureinpatientswithtype2diabetes
AT munizjavier associationofthekdigoriskclassificationwiththeprevalenceofheartfailureinpatientswithtype2diabetes
AT perezantonio associationofthekdigoriskclassificationwiththeprevalenceofheartfailureinpatientswithtype2diabetes