Background: The purpose of this study was to assess the effect of replacing all-cause mortality by death without limitation of medical treatments (LOMT) as the endpoint in a study of rapid response teams (RRTs) in hospitalized patients. We also described the time course of LOMT orders in patients dying on a general ward and the influence of RRTs on such orders.
Methods: This study is a secondary analysis of the COMET trial, a pragmatic prospective Dutch multicenter before-after study. We repeated the original analysis of the influence of RRTs on death before hospital discharge by replacing all-cause mortality by death without an LOMT order. In a subgroup of all patients dying before hospital discharge, we documented patient demographics, admission characteristics and LOMT orders of each patient. Patients age 18 ears or above were included.
Results: In total, 166,569 patients were included in the study. The unadjusted ORs were 0.865 (95 % CI 0.77-0.98) in the original analysis using all-cause mortality and 0.557 (95 % CI 0.40-0.78) when choosing death without LOMT as the endpoint. In total, 3408 patients died before discharge. At time of death, 2910 (85 %) had an LOMT order. Median time from last change in LOMT status and death was 2 days (IQR 1-5) in the before-phase and median time after introduction of the RRT was 1 day (IQR 1-4) (p value not significant).
Conclusions: The improvement in survival of hospitalized patients after introduction of a rapid response team in the COMET study was more pronounced when choosing death without limitation of medical treatment, rather than all deaths as the endpoint. Most patients who died during hospitalization had limitation of medical treatments ordered, often shortly before death. Rapid response teams did not influence the institution of limitation of medical treatments.
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http://dx.doi.org/10.1186/s13054-016-1339-9 | DOI Listing |
Cardiovasc Revasc Med
December 2024
Cardiology Division, Hennepin Healthcare, Minneapolis, MN, USA.
Background: There is a growing body of data to support the presence of sex disparities in outcomes of cardiovascular related hospitalizations. Despite this, there remains a paucity of data on relationships between sex and in-hospital outcomes in patients receiving a left atrial appendage occlusion device (LAAOD).
Methods: We examined the 2016-2020 Nationwide Readmission Database to identify patients with Atrial Fibrillation receiving a LAAOD.
Cardiovasc Revasc Med
January 2025
Division of Cardiology, Department of Medicine, University of Texas Health Sciences Center, San Antonio, TX, USA.
Background: Pulmonary hypertension (pHTN) has been associated with increased morbidity and mortality after mitral Transcatheter Edge-to-Edge Repair (TEER), but the association remains uncertain. This study aims to evaluate the impact of pHTN on cardiovascular outcomes following TEER.
Methods: We searched PubMed, Scopus, and Medline to identify studies reporting outcomes after TEER in individuals with pHTN.
Front Cardiovasc Med
December 2024
Department of Hypertension, Henan Provincial People's Hospital, Zhengzhou, China.
Background: Previous studies suggest that frailty increases the risk of mortality, but the risk of cardiovascular disease (CVD) and all-cause mortality in Chinese community-dwelling older adults remains understudied. Our aim was to explore the effect of frailty on cardiovascular and all-cause mortality in older adults based on a large-scale prospective survey of community-dwelling older adults in China.
Methods: We utilized the 2014-2018 cohort of the Chinese Longitudinal Healthy Longevity Survey and constructed a frailty index (FI) to assess frailty status.
Front Cardiovasc Med
December 2024
Department of Cardiovascular Medicine, Fengxian District Central Hospital, Shanghai, China.
Background: Although a few studies have examined the correlation between low-density lipoprotein cholesterol (LDL-C) and mortality, no study has explored these associations in hypertensive populations. This study aims to investigate the relationship between low-density lipoprotein cholesterol and cardiovascular and all-cause mortality in adults with hypertension.
Methods: Hypertensive participants aged ≥18 years from the National Health and Nutrition Examination Survey 1999-2018 with blood lipid testing data and complete follow-up data until 31 December 2019 were enrolled in the analysis.
JAMIA Open
February 2025
Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN 55905, United States.
Objectives: In the general hospital wards, machine learning (ML)-based early warning systems (EWSs) can identify patients at risk of deterioration to facilitate rescue interventions. We assess subpopulation performance of a ML-based EWS on medical and surgical adult patients admitted to general hospital wards.
Materials And Methods: We assessed the scores of an EWS integrated into the electronic health record and calculated every 15 minutes to predict a composite adverse event (AE): all-cause mortality, transfer to intensive care, cardiac arrest, or rapid response team evaluation.
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