Articles producció científica> Medicina i Cirurgia

A simple combination of biomarkers for risk stratification in octogenarians with acute myocardial infarction

  • Dades identificatives

    Identificador: imarina:9242574
    Autors:
    Sanz-Girgas, EstherPeiro, Oscar M.Bonet, GilRodriguez-Lopez, JuditScardino, ClaudiaFerrero-Guillem, MariaVasquez, KarlaRomeu-Nieto, AlbaBardaji, Alfredo
    Resum:
    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.
  • Altres:

    Autor segons l'article: Sanz-Girgas, Esther; Peiro, Oscar M.; Bonet, Gil; Rodriguez-Lopez, Judit; Scardino, Claudia; Ferrero-Guillem, Maria; Vasquez, Karla; Romeu-Nieto, Alba; Bardaji, Alfredo;
    Departament: Medicina i Cirurgia
    Autor/s de la URV: Bardají Ruiz, Alfredo / Bonet Pineda, Gil / Peiró Ibáñez, Óscar Manuel / Sanz Girgas, Esther
    Paraules clau: 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
    Resum: 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.
    Àrees temàtiques: Medicine (miscellaneous) General medicine Cardiology and cardiovascular medicine Cardiac & cardiovascular systems
    Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
    Adreça de correu electrònic de l'autor: gil.bonet@urv.cat oscarmanuel.peiro@urv.cat esther.sanz@urv.cat oscarmanuel.peiro@urv.cat alfredo.bardaji@urv.cat
    Identificador de l'autor: 0000-0003-1900-6974
    Data d'alta del registre: 2024-07-27
    Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
    Enllaç font original: https://imrpress.com/journal/RCM/22/4/10.31083/j.rcm2204179
    URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
    Referència a l'article segons font original: Reviews In Cardiovascular Medicine. 22 (4): 1711-1720
    Referència de l'ítem segons les normes 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
    DOI de l'article: 10.31083/j.rcm2204179
    Entitat: Universitat Rovira i Virgili
    Any de publicació de la revista: 2021
    Tipus de publicació: Journal Publications
  • Paraules clau:

    Cardiac & Cardiovascular Systems,Cardiology and Cardiovascular Medicine,Medicine (Miscellaneous)
    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
    Medicine (miscellaneous)
    General medicine
    Cardiology and cardiovascular medicine
    Cardiac & cardiovascular systems
  • Documents:

  • Cerca a google

    Search to google scholar