Publication: Association of the KDIGO Risk Classification with the Prevalence of Heart Failure in Patients with Type 2 Diabetes
dc.contributor.author | Gimeno-Orna, José Antonio | |
dc.contributor.author | Rodríguez-Padial, Luis | |
dc.contributor.author | Anguita-Sánchez, Manuel | |
dc.contributor.author | Barrios, Vivencio | |
dc.contributor.author | Muñiz, Javier | |
dc.contributor.author | Pérez, Antonio | |
dc.contributor.authoraffiliation | [Gimeno-Orna,JA] Endocrinology and Nutrition Service, Hospital Clínico Universitario Lozano Blesa, Zaragoza, Spain. [Rodríguez-Padial,L] Cardiology Service, Complejo Hospitalario de Toledo, Toledo, Spain. [Anguita-Sánchez,M] Cardiology Service, Hospital Universitario Reina Sofía, Instituto Maimónides de Investigación Biomédica (IMIBIC), Universidad de Córdoba, Córdoba, Spain. [Barrios,V] Cardiology Service, Hospital Universitario Ramón y Cajal, Madrid, Spain. [Muñiz,J] Coruña University, Cardiovascular Research Group, Health Sciences Department and Biomedic Research Institute de A Coruña (INIBIC), CIBERCV, A Coruña, Spain. [Pérez,A] Endocrinology and Nutrition Service and Research Institute (IIB Sant Pau) of the Hospital de la Santa Creu i Sant Pau, Universidad Autónoma de Barcelona, CIBER de Diabetes y Enfermedades Metabólicas (CIBERDEM), Barcelona, Spain. | |
dc.contributor.funder | This research was funded by the Spanish Society of Diabetes (SED) and the Spanish Society of Cardiology (SEC). | |
dc.date.accessioned | 2022-09-16T08:42:53Z | |
dc.date.available | 2022-09-16T08:42:53Z | |
dc.date.issued | 2021-10-09 | |
dc.description.abstract | 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. | es_ES |
dc.description.version | Yes | es_ES |
dc.identifier.citation | Gimeno-Orna JA, Rodríguez-Padial L, Anguita-Sánchez M, Barrios V, Muñiz J, Pérez A. Association of the KDIGO Risk Classification with the Prevalence of Heart Failure in Patients with Type 2 Diabetes. J Clin Med. 2021 Oct 9;10(20):4634 | es_ES |
dc.identifier.doi | 10.3390/jcm10204634 | es_ES |
dc.identifier.essn | 2077-0383 | |
dc.identifier.pmc | PMC8541098 | |
dc.identifier.pmid | 34682756 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10668/4049 | |
dc.journal.title | Journal of Clinical Medicine | |
dc.language.iso | en | |
dc.page.number | 12 p. | |
dc.publisher | MDPI | es_ES |
dc.relation.publisherversion | https://www.mdpi.com/2077-0383/10/20/4634/htm | es_ES |
dc.rights | Atribución 4.0 Internacional | * |
dc.rights.accessRights | open access | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.subject | Type 2 diabetes | es_ES |
dc.subject | Cardiovascular disease | es_ES |
dc.subject | Heart failure | es_ES |
dc.subject | KDIGO risk category | es_ES |
dc.subject | Diabetes mellitus tipo 2 | es_ES |
dc.subject | Enfermedades cardiovasculares | es_ES |
dc.subject | Insuficiencia cardíaca | es_ES |
dc.subject | Enfermedades renales | es_ES |
dc.subject | Resultado del tratamiento | es_ES |
dc.subject | Riesgo | es_ES |
dc.subject.mesh | Medical Subject Headings::Organisms::Eukaryota::Animals::Chordata::Vertebrates::Mammals::Primates::Haplorhini::Catarrhini::Hominidae::Humans | es_ES |
dc.subject.mesh | Medical Subject Headings::Diseases::Endocrine System Diseases::Diabetes Mellitus::Diabetes Mellitus, Type 2 | es_ES |
dc.subject.mesh | Medical Subject Headings::Information Science::Information Science::Data Collection::Vital Statistics::Morbidity::Prevalence | es_ES |
dc.subject.mesh | Medical Subject Headings::Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Epidemiologic Study Characteristics as Topic::Epidemiologic Studies::Cohort Studies::Longitudinal Studies::Prospective Studies | es_ES |
dc.subject.mesh | Medical Subject Headings::Phenomena and Processes::Circulatory and Respiratory Physiological Phenomena::Cardiovascular Physiological Phenomena::Hemodynamics::Blood Pressure | es_ES |
dc.subject.mesh | Medical Subject Headings::Phenomena and Processes::Mathematical Concepts::Probability::Odds Ratio | es_ES |
dc.subject.mesh | Medical Subject Headings::Diseases::Cardiovascular Diseases::Heart Diseases::Heart Failure | es_ES |
dc.subject.mesh | Medical Subject Headings::Diseases::Respiratory Tract Diseases::Respiration Disorders::Apnea::Sleep Apnea Syndromes::Sleep Apnea, Obstructive | es_ES |
dc.subject.mesh | Medical Subject Headings::Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Statistics as Topic::Analysis of Variance::Multivariate Analysis | es_ES |
dc.subject.mesh | Medical Subject Headings::Analytical, Diagnostic and Therapeutic Techniques and Equipment::Diagnosis::Diagnostic Techniques and Procedures::Diagnostic Imaging::Ultrasonography::Echocardiography | es_ES |
dc.subject.mesh | Medical Subject Headings::Chemicals and Drugs::Amino Acids, Peptides, and Proteins::Proteins::Hemeproteins::Globins::Hemoglobins | es_ES |
dc.subject.mesh | Medical Subject Headings::Diseases::Male Urogenital Diseases::Urologic Diseases::Kidney Diseases::Renal Insufficiency::Renal Insufficiency, Chronic | es_ES |
dc.title | Association of the KDIGO Risk Classification with the Prevalence of Heart Failure in Patients with Type 2 Diabetes | es_ES |
dc.type | research article | |
dc.type.hasVersion | VoR | |
dspace.entity.type | Publication |
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