Background: This study was conducted to identify the predictive factors for survival and favorable neurological outcome in patients with emergency department cardiac arrest (EDCA).
Methods: ED patients who suffered from in-hospital cardiac arrest (IHCA) from July 2014 to June 2019 were enrolled. The electronic medical records were retrieved and data were extracted according to the IHCA Utstein-style guidelines.
Results: The cardiac arrest survival post-resuscitation in-hospital (CASPRI) score was associated with survival, and the CASPRI scores were lower in the survival group. Three components of the CASPRI score were associated with favorable neurological survival, and the CASPRI scores were lower in the favorable neurological survival group of patients who were successfully resuscitated. The independent predictors of survival were presence of hypotension/shock, metabolic illnesses, short resuscitation time, receiving coronary angiography, and TTM. Receiving coronary angiography and low CASPRI score independently predicted favorable neurological survival in resuscitated patients. The performance of a low CASPRI score for predicting favorable neurological survival was fair, with an AUROCC of 0.77.
Conclusions: The CASPRI score can be used to predict survival and neurological status of patients with EDCA. Post-cardiac arrest care may be beneficial for IHCA, especially in patients with EDCA.
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http://dx.doi.org/10.3390/jcm10215131 | DOI Listing |
BMC Cardiovasc Disord
October 2024
Social Determinants of Health Research Center, , Research Institute for Prevention of Non-Communicable Diseases, Qazvin University of Medical Sciences, Qazvin, Iran.
Singapore Med J
February 2024
Department of Respiratory and Critical Care Medicine, Singapore General Hospital, Singapore.
Introduction: In-hospital cardiac arrest (IHCA) is a significant healthcare burden with a paucity of data in Singapore. Various factors, including time of cardiac arrest, affect survival from acute resuscitation.
Methods: This was a retrospective cohort study that evaluated the characteristics of patients who sustained an IHCA, including the Cardiac Arrest Survival Post Resuscitation In-hospital (CASPRI) scores, and the impact of arrest time in 220 consecutive cardiac arrests occurring in a tertiary hospital.
Front Cardiovasc Med
November 2023
Department of Intensive Care Medicine, School of Medicine, Sapporo Medical University, Sapporo, Japan.
Background: In-hospital cardiac arrest (IHCA) is a critical medical event with outcomes less researched compared to out-of-hospital cardiac arrest. This retrospective observational study aimed to investigate key aspects of IHCA epidemiology and prognosis in patients with Code Blue activation.
Methods: This retrospective observational study enrolled patients with Code Blue events in our hospital between January 2010 and October 2019.
Sci Rep
October 2023
Department of Emergency Medicine, Pusan National University Yangsan Hospital, Kumoh-ro 20, Mulgum-up, Yangsan-si, Gyeongsangnam-do, 50612, Korea.
It is important to predict the neurological prognoses of in-hospital cardiac arrest (IHCA) patients immediately after recovery of spontaneous circulation (ROSC) to make further critical management. The aim of this study was to confirm the usefulness of the Cardiac Arrest Survival Post-Resuscitation In-hospital (CASPRI) and Good Outcome Following Attempted Resuscitation (GO-FAR) scores for predicting the IHCA immediately after the ROSC. This is a retrospective analysis of patient data from a tertiary general hospital located in South Korea.
View Article and Find Full Text PDFResuscitation
September 2022
Department of Biostatistics & Medical Informatics, University of Wisconsin, Madison, WI, United States; Department of Medicine, University of Wisconsin, Madison, WI, United States. Electronic address:
Background: Machine learning models are more accurate than standard tools for predicting neurological outcomes in patients resuscitated after cardiac arrest. However, their accuracy in patients with Coronavirus Disease 2019 (COVID-19) is unknown. Therefore, we compared their performance in a cohort of cardiac arrest patients with COVID-19.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!