Objective: Predictors of 30-day mortality may differ from predictors of mortality at 1 year among 30-day survivors of ST-elevation myocardial infarction (STEMI) treated with primary percutaneous coronary intervention (PCI). We aimed to evaluate the predictors of 30-day and 1-year mortality in unselected patients with STEMI treated with PCI.
Methods: Individual patient data from 4732 patients with STEMI, who were treated with primary PCI during an 11-year study period, were recorded prospectively. Patient characteristics, 30-day, and 1-year outcome were evaluated.
Results: At 30-day follow-up, 219 patients (4.6%) died; and out of the 4513 30-day survivors, 109 patients (2.8%) died at 1 year. Patients who died were older, had a higher risk profile. Higher rates of Killip class greater than 2 on admission, multivessel disease, and, more often, lower left ventricular ejection fraction were observed in patients who died. Mortality rate was 7.6% at 30 days among the females when compared with 3.7 among the males, P value less than 0.001. Age and sex-adjusted multivariate analysis revealed that previous myocardial infarction, diabetes, Killip class greater than 2, post-PCI thrombolysis in myocardial infarction flow less than 3, and left ventricular ejection fraction less than 30% were strong predictors of both 30-day and 1-year mortality. However, multivessel disease, anterior myocardial infarct location and in-hospital reinfarction, ischemic time, and pre-PCI thrombolysis in myocardial infarction flow less than 3 were particularly strong predictors of 30-day mortality.
Conclusion: Despite the fact that most characteristics of 30-day and 1-year mortality among 30-day survivors are similar, we found that variables that affect mortality beyond the acute phase may not necessarily be the same as those that influence early mortality.
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http://dx.doi.org/10.1097/MCA.0b013e32832e5c4c | DOI Listing |
Am J Emerg Med
December 2024
Cooper University Health Care, Center for Healing, Division of Addiction Medicine, Camden, NJ, United States; Cooper Medical School of Rowan University, Camden, NJ, United States; Cooper University Health Care, Department of Emergency Medicine, Division of Addiction Medicine and Medical Toxicology, Camden, NJ, United States.
Study Objective: The "72-h rule" allows emergency department (ED) physicians to administer methadone as an induction or bridge while referring to treatment. We aimed to evaluate an ED-based program designed to increase methadone access.
Methods: We reviewed ED encounters involving methadone administration between January and August 2021.
Eur J Intern Med
December 2024
Department of Biomedical Sciences, IRCCS Humanitas Research Hospital, 20089 Milano, Italy.
Background And Aim: The aim of the present study was to evaluate the prevalence and to identify the independent predictors of multi-drug resistance among a cohort of patients admitted to emergency department for urinary tract infections (UTI), and to assess the impact of antimicrobial resistance on the clinical outcomes.
Methods: We conducted a prospective multicentre study enrolling all adult patients admitted to one of the eight emergency departments participating in the study with a microbiologically confirmed diagnosis of UTI from February 2023 to July 2024. The primary outcome evaluated was 30-day mortality; secondary outcomes included 7-day mortality and clinical response.
BMC Cardiovasc Disord
December 2024
The Affiliated Huai'an Hospital of Xuzhou Medical University, No. 62, Huaihainanlu Street, Huai'an, Jiangsu, 223001, China.
Background: Ischemic stroke is a major contributor to global morbidity and mortality, particularly in critically ill patients in intensive care units (ICUs). While advances in stroke management have improved outcomes, predicting mortality remains challenging due to the involvement of complex metabolic and cardiovascular factors. The triglyceride-glucose (TyG) index, a marker for insulin resistance, has gained attention for its potential to predict adverse outcomes in stroke patients.
View Article and Find Full Text PDFJ Cardiothorac Vasc Anesth
December 2024
Division of Cardiac Surgery, Department of Medical and Surgical Sciences, University of Foggia, Foggia, Italy; Division of Cardiac Surgery, Santa Maria Hospital, GVM Care & Research, Bari, Italy. Electronic address:
Objectives: To investigate the impact of systemic inflammatory response syndrome (SIRS) on 30-day mortality following cardiac surgery and develop a machine learning model to predict SIRS.
Design: Retrospective cohort study.
Setting: Single tertiary care hospital.
World Neurosurg
December 2024
Department of Medicine, Quaid e Azam Medical College, Bahawalpur, Pakistan.
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