Efficacy in predicting mortality of patients with heart failure using heart rate before intensive care unit discharge: a retrospective cohort study from MIMIC-IV Database

• Published in: BMJ open Vol. 14; no. 12; p. e087725
• Main Authors: Hsiao, Chia-Ying, Su, Min-I, Chang, Yu-Cheng, Lee, Ying-Hsiang, Lin, Po-Lin, Chiou, Wei-Ru
• Format: Journal Article
• Language: English
• Published: England British Medical Journal Publishing Group 26.12.2024; BMJ Publishing Group LTD; BMJ Publishing Group
• Subjects: Adult intensive & critical care; Aged; Aged, 80 and over; Blood pressure; Body mass index; Cardiovascular disease; Cardiovascular Medicine; Cohort analysis; Creatinine; Critical Illness - mortality; Databases, Factual; Female; Heart failure; Heart Failure - mortality; Heart Failure - physiopathology; Heart Failure - therapy; Heart rate; Heart Rate - physiology; Hospital Mortality; Hospitals; Humans; Intensive care; Intensive Care Units - statistics & numerical data; Lifesaving; Male; Middle Aged; Mortality; Original Research; Patient Discharge - statistics & numerical data; Patient Readmission - statistics & numerical data; Patients; Physiology; Prognosis; Retrospective Studies; Risk management; Variables; Vital signs; Heart failure; Retrospective Studies; Risk management; Adult intensive & critical care

ObjectiveHeart rate serves as a critical prognostic factor in heart failure (HF) patients. We hypothesise that elevated heart rate in critically ill HF patients on discharge from the intensive care unit (ICU) could be linked to adverse outcomes.DesignA single-centre retrospective cohort study.Settin...