Author, as appears in the article.: Sanz-Girgas, Esther; Peiro, Oscar M.; Bonet, Gil; Rodriguez-Lopez, Judit; Scardino, Claudia; Ferrero-Guillem, Maria; Vasquez, Karla; Romeu-Nieto, Alba; Bardaji, Alfredo;
Department: Medicina i Cirurgia
URV's Author/s: Bardají Ruiz, Alfredo / Bonet Pineda, Gil / Peiró Ibáñez, Óscar Manuel / Sanz Girgas, Esther
Keywords: Outcomes Older patients Octogenarian Nstemi Mortality Management Long-term outcome Impact Hyperglycaemia Estimated glomerularfiltrationrate Estimated glomerular filtration rate Elderly-patients Elderly Blood-glucose Association Acutemyocardialinfarction Acute myocardial infarction Acute coronary syndromes Acute coronary syndrome
Abstract: The aim of this observational study was to assess long-term prognosis of a contemporary octogenarian population admitted to an Intensive Cardiac Care Unit with acute myocardial infarction (MI), and the prognostic value of two simple biomarkers obtained at admission: glucose blood level (ABG) and estimated glomerular filtration rate (eGFR). A total of 293 consecutive patients were included (202 with ST elevation MI and 91 with non-ST elevation MI) with median age 83.9 years, 172 (58.7%) male. The optimal cut-off points for all-cause death defined by ROC curves were ABG >186 mg/dL and eGFR <50 mL/min/1.73 m(2). The cohort was segregated into 3 groups according to these values: no biomarker present (group 1), either of the two biomarkers present (group 2) or both biomarkers present (group 3). Patients in group 3 were more frequently female, with worse Charlson index, Killip class and ventricular function, and higher GRACE scores. PCI was performed in 248 patients (84.6%). The highest in-hospital and long-term mortality, and composite MACE was observed in groups 2 and 3. All-cause mortality (median follow-up 2.2 years) was 44%. In multivariate analysis, ABG >186 mg/dL and eGFR <50 mL/min/1.73 m(2) were associated with a 4.2 odds ratio (OR) (Model 1: medical history variables) and 2.6 OR (Model 2: admission event variables) of mortality. The addition of these variables to ROC curves improved long-term risk prediction for Model 1 (C-statistics 0.718 versus 0.780, p = 0.006) and reclassification and discrimination in both models.
Thematic Areas: Medicine (miscellaneous) General medicine Cardiology and cardiovascular medicine Cardiac & cardiovascular systems
licence for use: https://creativecommons.org/licenses/by/3.0/es/
Author's mail: gil.bonet@urv.cat oscarmanuel.peiro@urv.cat esther.sanz@urv.cat oscarmanuel.peiro@urv.cat alfredo.bardaji@urv.cat
Author identifier: 0000-0003-1900-6974
Record's date: 2024-07-27
Papper version: info:eu-repo/semantics/publishedVersion
Link to the original source: https://imrpress.com/journal/RCM/22/4/10.31083/j.rcm2204179
Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
Papper original source: Reviews In Cardiovascular Medicine. 22 (4): 1711-1720
APA: Sanz-Girgas, Esther; Peiro, Oscar M.; Bonet, Gil; Rodriguez-Lopez, Judit; Scardino, Claudia; Ferrero-Guillem, Maria; Vasquez, Karla; Romeu-Nieto, Alba (2021). A simple combination of biomarkers for risk stratification in octogenarians with acute myocardial infarction. Reviews In Cardiovascular Medicine, 22(4), 1711-1720. DOI: 10.31083/j.rcm2204179
Article's DOI: 10.31083/j.rcm2204179
Entity: Universitat Rovira i Virgili
Journal publication year: 2021
Publication Type: Journal Publications
Repositori URV