Literature DB >> 32035177

Validation of the ROSC after cardiac arrest (RACA) score in Pan-Asian out-of-hospital cardiac arrest patients.

Nan Liu1, Marcus Eng Hock Ong2, Andrew Fu Wah Ho3, Pin Pin Pek4, Tsung-Chien Lu5, Pairoj Khruekarnchana6, Kyoung Jun Song7, Hideharu Tanaka8, Ghulam Yasin Naroo9, Han Nee Gan10, Zhi Xiong Koh11, Matthew Huei-Ming Ma5.   

Abstract

AIM: Survival is the most consistently captured outcome across countries for out-of-hospital cardiac arrests (OHCA), with return of spontaneous circulation (ROSC) representing the earliest endpoint for 'unbiased' initial resuscitation success. The ROSC after cardiac arrest (RACA) score was developed to predict ROSC and has been validated in several European countries. In this study, we aimed to evaluate the performance of RACA in a Pan-Asian population.
METHODS: We conducted a retrospective analysis of data collected in the Pan-Asian Resuscitation Outcomes Study (PAROS) registry. We included OHCA cases from seven communities (Japan, South Korea, Malaysia, Singapore, Taiwan, Thailand, and United Arab Emirates) between January 2009 and December 2012. Paediatric cases, cases that were conveyed by non-emergency medical services (EMS), and cases with incomplete records were excluded from the study.
RESULTS: The RACA score showed similar discrimination performance as the original German study and various European validation studies. However, it had poor calibration with the original constant regression coefficient, which was primarily due to the low ROSC rate (8.2%) in the PAROS cohort. The calibration performance of RACA significantly improved after the constant coefficient was modified to adjust for the disparity in ROSC rates between Asia and Europe.
CONCLUSION: This is the largest validation study of the RACA score. RACA consistently performs well in both Pan-Asian and European communities and can thus be a valuable tool for evaluating EMS systems. However, to implement it, the constant coefficient has to be modified in the RACA formula with local historical data.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cardiopulmonary resuscitation; Emergency medical services; Out-of-hospital cardiac arrest; Pan-Asian; Registry; Return of spontaneous circulation

Mesh:

Year:  2020        PMID: 32035177     DOI: 10.1016/j.resuscitation.2020.01.029

Source DB:  PubMed          Journal:  Resuscitation        ISSN: 0300-9572            Impact factor:   5.262


  5 in total

1.  Resuscitation Using ECPR During In-Hospital Cardiac Arrest (RESCUE-IHCA) Mortality Prediction Score and External Validation.

Authors:  Joseph E Tonna; Craig H Selzman; Saket Girotra; Angela P Presson; Ravi R Thiagarajan; Lance B Becker; Chong Zhang; Peter Rycus; Heather T Keenan
Journal:  JACC Cardiovasc Interv       Date:  2022-01-12       Impact factor: 11.195

2.  Development and validation of an interpretable prehospital return of spontaneous circulation (P-ROSC) score for patients with out-of-hospital cardiac arrest using machine learning: A retrospective study.

Authors:  Nan Liu; Mingxuan Liu; Xinru Chen; Yilin Ning; Jin Wee Lee; Fahad Javaid Siddiqui; Seyed Ehsan Saffari; Andrew Fu Wah Ho; Sang Do Shin; Matthew Huei-Ming Ma; Hideharu Tanaka; Marcus Eng Hock Ong
Journal:  EClinicalMedicine       Date:  2022-05-06

3.  External validation and insights about the calibration of the return of spontaneous circulation after cardiac arrest (RACA) score.

Authors:  Lorenzo Gamberini; Chiara Natalia Tartivita; Martina Guarnera; Davide Allegri; Simone Baroncini; Tommaso Scquizzato; Marco Tartaglione; Carlo Alberto Mazzoli; Valentina Chiarini; Cosimo Picoco; Carlo Coniglio; Federico Semeraro; Giovanni Gordini
Journal:  Resusc Plus       Date:  2022-04-01

4.  The predictive performance of current termination-of-resuscitation rules in patients following out-of-hospital cardiac arrest in Asian countries: A cross-sectional multicentre study.

Authors:  Shu-Hsien Hsu; Jen-Tang Sun; Edward Pei-Chuan Huang; Tatsuya Nishiuchi; Kyoung Jun Song; Benjamin Leong; Nik Hisamuddin Nik Ab Rahman; Pairoj Khruekarnchana; G Y Naroo; Ming-Ju Hsieh; Shu-Hui Chang; Wen-Chu Chiang; Matthew Huei-Ming Ma
Journal:  PLoS One       Date:  2022-08-10       Impact factor: 3.752

5.  Clinical Predictive Models of Sudden Cardiac Arrest: A Survey of the Current Science and Analysis of Model Performances.

Authors:  Richard T Carrick; Jinny G Park; Hannah L McGinnes; Christine Lundquist; Kristen D Brown; W Adam Janes; Benjamin S Wessler; David M Kent
Journal:  J Am Heart Assoc       Date:  2020-08-13       Impact factor: 5.501

  5 in total

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