Importance: Although survival of patients with in-hospital cardiac arrest varies markedly among hospitals, specific resuscitation practices that distinguish sites with higher cardiac arrest survival rates remain unknown.
Objective: To identify resuscitation practices associated with higher rates of in-hospital cardiac arrest survival.
Design, Setting, And Participants: Nationwide survey of resuscitation practices at hospitals participating in the Get With the Guidelines-Resuscitation registry and with 20 or more adult in-hospital cardiac arrest cases from January 1, 2012, through December 31, 2013. Data analysis was performed from June 10 to December 22, 2015.
Main Outcomes And Measures: Risk-standardized survival rates for cardiac arrest were calculated at each hospital and were then used to categorize hospitals into quintiles of performance. The association between resuscitation practices and quintiles of survival was evaluated using hierarchical proportional odds logistic regression models.
Results: Overall, 150 (78.1%) of 192 eligible hospitals completed the study survey, and 131 facilities with 20 or more adult in-hospital cardiac arrest cases comprised the final study cohort. Risk-standardized survival rates after in-hospital cardiac arrest varied substantially (median, 23.7%; range, 9.2%-37.5%). Several resuscitation practices were associated with survival on bivariate analysis, although only 3 were significant after multivariable adjustment: monitoring for interruptions in chest compressions (adjusted odds ratio [OR] for being in a higher survival quintile category, 2.71; 95% CI, 1.24-5.93; P = .01), reviewing cardiac arrest cases monthly (adjusted OR for being in a higher survival quintile category, 8.55; 95% CI, 1.79-40.00) or quarterly (OR, 6.85; 95% CI, 1.49-31.30; P = .03), and adequate resuscitation training (adjusted OR, 3.23; 95% CI, 1.21-8.33; P = .02).
Conclusions And Relevance: Using survey information from acute care hospitals participating in a national quality improvement registry, we identified 3 resuscitation strategies associated with higher hospital rates of survival for patients with in-hospital cardiac arrest. These strategies can form the foundation for best practices for resuscitation care at hospitals given the high incidence and variation in survival for in-hospital cardiac arrest.
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http://dx.doi.org/10.1001/jamacardio.2016.0073 | DOI Listing |
Circ Cardiovasc Imaging
January 2025
Heart, Vascular and Thoracic Institute, Cleveland Clinic, Cleveland, OH.
Circ Cardiovasc Imaging
January 2025
Division of Cardiology, Department of Medicine, University of California, San Francisco (L.C., S.D., D.B., J.J.T., Q.F., L.T., A.H.R., R.J., S.H., H.H.H., Z.H.T., N.B.S., F.N.D.).
Background: A subset of patients with mitral valve prolapse (MVP), a highly heritable condition, experience sudden cardiac arrest (SCA) or sudden cardiac death (SCD). However, the inheritance of phenotypic imaging features of arrhythmic MVP remains unknown.
Methods: We recruited 23 MVP probands, including 9 with SCA/SCD and 14 with frequent/complex ventricular ectopy.
The guide extension-facilitated ostial stenting (GEST) technique uses a guide extension catheter (GEC) to improve stent delivery during primary coronary angioplasty (PCI). GECs are used for stent delivery into the coronary arteries of patients with difficult anatomy due to tortuosity, calcification, or chronic total occlusion (CTO) vessels. Stent and balloon placement has become challenging in patients with increasing lesion complexity due to tortuosity, vessel morphology, length of the lesion, and respiratory movements.
View Article and Find Full Text PDFJAMIA 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.
Crit Care
January 2025
Division of Environmental Medicine and Population Services, Department of Social and Environmental Medicine, Graduate School of Medicine, Osaka University, Osaka, Japan.
Background: Targeted temperature management (TTM) is considered a beneficial treatment for improving outcomes in patients with OHCA due to acute coronary syndrome (ACS). The comparative benefits of hypothermic TTM (32-34°C) versus normothermic TTM (35-36°C) are unclear. This study compares these TTM strategies in improving neurological outcomes and survival rates in OHCA patients with ACS.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!