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

dc.contributor.authorGimeno-Orna, Jose Antonio
dc.contributor.authorRodriguez-Padial, Luis
dc.contributor.authorAnguita-Sanchez, Manuel
dc.contributor.authorBarrios, Vivencio
dc.contributor.authorMuniz, Javier
dc.contributor.authorPerez, Antonio
dc.contributor.authoraffiliation[Gimeno-Orna, Jose Antonio] Hosp Clin Univ Lozano Blesa, Endocrinol & Nutr Serv, Zaragoza 50009, Spain
dc.contributor.authoraffiliation[Rodriguez-Padial, Luis] Complejo Hosp Toledo, Cardiol Serv, Toledo 45004, Spain
dc.contributor.authoraffiliation[Anguita-Sanchez, Manuel] Univ Cordoba, Hosp Univ Reina Sofia, Inst Maimonides Invest Biomed IMIBIC, Cardiol Serv, Cordoba 14004, Spain
dc.contributor.authoraffiliation[Barrios, Vivencio] Hosp Universitario Ramon y Cajal, Cardiol Serv, Madrid 28034, Spain
dc.contributor.authoraffiliation[Muniz, Javier] Coruna Univ, Cardiovasc Res Grp, Hlth Sci Dept, La Coruna, Spain
dc.contributor.authoraffiliation[Muniz, Javier] CIBERCV, Biomed Res Inst A Coruna INIBIC, La Coruna, Spain
dc.contributor.authoraffiliation[Perez, Antonio] Univ Autonoma Barcelona, CIBER Diabet & Enfermedades Metabol CIBERDEM, Hosp Santa Creu & St Pau, Endocrinol & Nutr Serv & Res Inst IIB St Pau, Barcelona 08023, Spain
dc.contributor.funderSpanish Society of Diabetes (SED)
dc.contributor.funderSpanish Society of Cardiology (SEC)
dc.date.accessioned2025-01-07T13:32:27Z
dc.date.available2025-01-07T13:32:27Z
dc.date.issued2021-10-01
dc.description.abstractThe 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 1 territory = 2.39; p = 0.02 and p
dc.identifier.doi10.3390/jcm10204634
dc.identifier.essn2077-0383
dc.identifier.pmid34682756
dc.identifier.unpaywallURLhttps://www.mdpi.com/2077-0383/10/20/4634/pdf?version=1634020229
dc.identifier.urihttps://hdl.handle.net/10668/25630
dc.identifier.wosID715333700001
dc.issue.number20
dc.journal.titleJournal of clinical medicine
dc.journal.titleabbreviationJ. clin. med.
dc.language.isoen
dc.organizationSAS - Hospital Universitario Reina Sofía
dc.organizationInstituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC)
dc.publisherMdpi
dc.rightsAttribution 4.0 International
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjecttype 2 diabetes
dc.subjectcardiovascular disease
dc.subjectheart failure
dc.subjectKDIGO risk category
dc.subjectCardiovascular outcomes
dc.subjectDisease
dc.subjectHyperglycemia
dc.subjectMetaanalysis
dc.subjectInsights
dc.subjectNeed
dc.titleAssociation of the KDIGO Risk Classification with the Prevalence of Heart Failure in Patients with Type 2 Diabetes
dc.typeresearch article
dc.type.hasVersionVoR
dc.volume.number10
dc.wostypeArticle

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