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Outcome assessment for out-of-hospital cardiac arrest patients in Singapore and Japan with initial shockable rhythm

Okada, Yohei Shahidah, Nur Ng, Yih Yng Chia, Michael Y. C. Gan, Han Nee Leong, Benjamin S. H. Mao, Desmond R. Ng, Wei Ming Irisawa, Taro Yamada, Tomoki Nishimura, Tetsuro Kiguchi, Takeyuki Kishimoto, Masafumi Matsuyama, Tasuku Nishioka, Norihiro Kiyohara, Kosuke Kitamura, Tetsuhisa Iwami, Taku Ong, Marcus Eng Hock 京都大学 DOI:10.1186/s13054-023-04636-x

2023.09.12

概要

[Background] Singapore and Osaka in Japan have comparable population sizes and prehospital management; however, the frequency of ECPR differs greatly for out-of-hospital cardiac arrest (OHCA) patients with initial shockable rhythm. Given this disparity, we hypothesized that the outcomes among the OHCA patients with initial shockable rhythm in Singapore were different from those in Osaka. The aim of this study was to evaluate the outcomes of OHCA patients with initial shockable rhythm in Singapore compared to the expected outcomes derived from Osaka data using machine learning-based prediction models. [Methods] This was a secondary analysis of two OHCA databases: the Singapore PAROS database (SG-PAROS) and the Osaka-CRITICAL database from Osaka, Japan. This study included adult (18–74 years) OHCA patients with initial shockable rhythm. A machine learning-based prediction model was derived and validated using data from the Osaka-CRITICAL database (derivation data 2012–2017, validation data 2018–2019), and applied to the SG-PAROS database (2010–2016 data), to predict the risk-adjusted probability of favorable neurological outcomes. The observed and expected outcomes were compared using the observed–expected ratio (OE ratio) with 95% confidence intervals (CI). [Results] From the SG-PAROS database, 1, 789 patients were included in the analysis. For OHCA patients who achieved return of spontaneous circulation (ROSC) on hospital arrival, the observed favorable neurological outcome was at the same level as expected (OE ratio: 0.905 [95%CI: 0.784–1.036]). On the other hand, for those who had continued cardiac arrest on hospital arrival, the outcomes were lower than expected (shockable rhythm on hospital arrival, OE ratio: 0.369 [95%CI: 0.258–0.499], and nonshockable rhythm, OE ratio: 0.137 [95%CI: 0.065–0.235]). [Conclusion] This observational study found that the outcomes for patients with initial shockable rhythm but who did not obtain ROSC on hospital arrival in Singapore were lower than expected from Osaka. We hypothesize this is mainly due to differences in the use of ECPR.

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参考文献

1. Gräsner JT, Herlitz J, Tjelmeland IBM, et al. European Resuscitation Council

Guidelines 2021: Epidemiology of cardiac arrest in Europe. Resuscitation.

Ireland: © 2021. Published by Elsevier B.V.; 2021: 61–79.

Okada et al. Critical Care

(2023) 27:351

2. Lim SL, Smith K, Dyson K, et al. Incidence and outcomes of out-of-hospital cardiac arrest in Singapore and Victoria: a collaborative study. j Am

Heart Assoc. 2020;9(21):e015981.

3. White AE PJ, Pek PP, Shahidah N, Ng YY, Yap S, Ong MEH. Singapore

Out-of-Hospital Cardiac Arrest Registry Report 2011–2018.: Republic of

Singapore. Unit for Prehospital Emergency Care.

4. Fire and Disaster Management Agency of the Ministry of Internal Affairs

and Communications website. http://​www.​fdma.​go.​jp/​neuter/​topics/​

field​List9_3.​html (accessed 7, June 2018)

5. Ong MEH, Perkins GD, Cariou A. Out-of-hospital cardiac arrest: prehospital

management. Lancet. 2018;391(10124):980–8.

6. Perkins GD, Graesner JT, Semeraro F, et al. European Resuscitation Council

Guidelines 2021: executive summary. Resuscitation. 2021;161:1–60.

7. Nolan JP, Sandroni C, Böttiger BW, et al. European Resuscitation Council

and European Society of Intensive Care Medicine guidelines 2021: postresuscitation care. Intensive Care Med. 2021;47(4):369–421.

8. Richardson ASC, Tonna JE, Nanjayya V, et al. Extracorporeal cardiopulmonary resuscitation in adults. Interim guideline consensus statement from

the extracorporeal life support organization. Asaio j. 2021;67(3):221–8.

9. Gregers E, Kjærgaard J, Lippert F, et al. Refractory out-of-hospital cardiac

arrest with ongoing cardiopulmonary resuscitation at hospital arrival –

survival and neurological outcome without extracorporeal cardiopulmonary resuscitation. Crit Care. 2018;22(1):242.

10. Inoue A, Hifumi T, Sakamoto T, Kuroda Y. Extracorporeal cardiopulmonary

resuscitation for out-of-hospital cardiac arrest in adult patients. J Am

Heart Assoc. 2020;9(7):e015291.

11. Abrams D, MacLaren G, Lorusso R, et al. Extracorporeal cardiopulmonary

resuscitation in adults: evidence and implications. Intensive Care Med.

2022;48(1):1–15.

12. Yannopoulos D, Bartos J, Raveendran G, et al. Advanced reperfusion

strategies for patients with out-of-hospital cardiac arrest and refractory

ventricular fibrillation (ARREST): a phase 2, single centre, open-label,

randomised controlled trial. Lancet. 2020;396(10265):1807–16.

13. Sakamoto T, Asai Y, Nagao K, et al. Multicenter non-randomized prospective cohort study of extracorporeal cardiopulmonary resuscitation

for out-of hospital cardiac arrest: Study of Advanced Life Support for

Ventricular Fibrillation with Extracorporeal Circulation in Japan (SAVE-J).

Am Heart Assoc; 2011

14. Okada Y, Kiguchi T, Irisawa T, et al. Development and validation of a

clinical score to predict neurological outcomes in patients with outof-hospital cardiac arrest treated with extracorporeal cardiopulmonary

resuscitation. JAMA Netw Open. 2020;3(11):e2022920.

15. Okada Y, Irisawa T, Yamada T, et al. Clinical outcomes among out-of-hospital cardiac arrest patients treated by extracorporeal cardiopulmonary

resuscitation: The CRITICAL study in Osaka. Resuscitation. Ireland: © 2022

Elsevier B.V; 2022.

16. Makino Y, Okada Y, Irisawa T, et al. External validation of the TiPS65 score

for predicting good neurological outcomes in patients with out-ofhospital cardiac arrest treated with extracorporeal cardiopulmonary

resuscitation. Resuscitation. 2023;182: 109652.

17. Kitamura T, Iwami T, Atsumi T, et al. The profile of Japanese Association

for Acute Medicine - out-of-hospital cardiac arrest registry in 2014–2015.

Acute Med Surg. 2018;5(3):249–58.

18. Irisawa T, Matsuyama T, Iwami T, et al. The effect of different target

temperatures in targeted temperature management on neurologically

favorable outcome after out-of-hospital cardiac arrest: A nationwide

multicenter observational study in Japan (the JAAM-OHCA registry).

Resuscitation. Ireland: 2018 Elsevier B.V; 2018: 82–7.

19. Ong ME, Shin SD, Tanaka H, et al. Pan-Asian Resuscitation Outcomes

Study (PAROS): rationale, methodology, and implementation. Acad

Emerg Med. 2011;18(8):890–7.

20. Doctor NE, Ahmad NS, Pek PP, Yap S, Ong ME. The Pan-Asian resuscitation

outcomes study (PAROS) clinical research network: what, where, why and

how. Singapore Med J. 2017;58(7):456–8.

21. Yamada T, Kitamura T, Hayakawa K, et al. Rationale, design, and profile of

Comprehensive Registry of In-Hospital Intensive Care for OHCA Survival

(CRITICAL) study in Osaka. Japan J Intensive Care. 2016;4:10.

22. Inoue A, Hifumi T, Sakamoto T, et al. Extracorporeal cardiopulmonary

resuscitation in adult patients with out-of-hospital cardiac arrest:

a retrospective large cohort multicenter study in Japan. Crit Care.

2022;26(1):129.

Page 11 of 12

23. Hifumi T, Inoue A, Takiguchi T, et al. Variability of extracorporeal cardiopulmonary resuscitation practice in patients with out-of-hospital cardiac

arrest from the emergency department to intensive care unit in Japan.

Acute Medicine & Surgery. 2021;8(1):e647.

24. Okada Y, Kiguchi T, Irisawa T, et al. Association between low pH and

unfavorable neurological outcome among out-of-hospital cardiac arrest

patients treated by extracorporeal CPR: a prospective observational

cohort study in Japan. J Intensive Care. 2020;8(1):34.

25. Cummins RO, Chamberlain DA, Abramson NS, et al. Recommended

guidelines for uniform reporting of data from out-of-hospital cardiac

arrest: the Utstein Style. A statement for health professionals from a task

force of the American Heart Association, the European Resuscitation

Council, the Heart and Stroke Foundation of Canada, and the Australian

Resuscitation Council. Circulation. 1991;84(2):960–75.

26. Ong MEH, Do Shin S, De Souza NNA, et al. Outcomes for out-of-hospital

cardiac arrests across 7 countries in Asia: the pan Asian resuscitation

outcomes study (PAROS). Resuscitation. 2015;96:100–8.

27. Stekhoven DJ, Bühlmann P. MissForest—non-parametric missing value

imputation for mixed-type data. Bioinformatics. 2012;28(1):112–8.

28. Shahian DM, Normand SLT. Comparison of “risk-adjusted” hospital outcomes. Circulation. 2008;117(15):1955–63.

29. Nicholl J, Jacques RM, Campbell MJ. Direct risk standardisation: a new

method for comparing casemix adjusted event rates using complex

models. BMC Med Res Methodol. 2013;13(1):133.

30. Hackl P. Alex Bottle, Paul Aylin: Statistical methods for healthcare performance monitoring. Stat Pap. 2017;58(1):279–80.

31. König S, Pellissier V, Leiner J, et al. Expected and observed in-hospital

mortality in heart failure patients before and during the COVID-19

pandemic: Introduction of the machine learning-based standardized

mortality ratio at Helios hospitals. Clin Cardiol. 2022;45(1):75–82.

32. Braun D, Braun E, Chiu V, et al. Trends in neonatal intensive care unit

utilization in a large integrated health care system. JAMA Netw Open.

2020;3(6):e205239.

33. Parmar A, Katariya R, Patel V. A Review on Random Forest: An Ensemble

Classifier. In: Hemanth J, Fernando X, Lafata P, Baig Z, editors. International Conference on Intelligent Data Communication Technologies and

Internet of Things (ICICI) 2018; 2019 2019//. Cham: Springer International

Publishing; 2019. p. 758–63.

34. Kandori K, Okada Y, Okada A, et al. Association between cardiac rhythm

conversion and neurological outcome among cardiac arrest patients

with initial shockable rhythm: a nationwide prospective study in Japan.

Eur Heart J Acute Cardiovasc Care. 2021;10(2):119–26.

35. Matsuoka Y, Ikenoue T, Hata N, et al. Hospitals’ extracorporeal cardiopulmonary resuscitation capabilities and outcomes in out-of-hospital

cardiac arrest: A population-based study. Resuscitation. 2019;136:85–92.

36. Yannopoulos D, Bartos J, Raveendran G, et al. Advanced reperfusion

strategies for patients with out-of-hospital cardiac arrest and refractory

ventricular fibrillation (ARREST): a phase 2, single centre, open-label,

randomised controlled trial. The Lancet. 2020;396(10265):1807–16.

37. Suverein MM, Delnoij TSR, Lorusso R, et al. Early extracorporeal

CPR for refractory out-of-hospital cardiac arrest. N Engl J Med.

2023;388(4):299–309.

38. Matsuyama T, Irisawa T, Yamada T, et al. Impact of low-flow duration on

favorable neurological outcomes of extracorporeal cardiopulmonary

resuscitation after out-of-hospital cardiac arrest: a multicenter prospective study. Circulation. 2020;141(12):1031–3.

39. Okada Y, Kiguchi T, Irisawa T, et al. Development and validation of a

clinical score to predict neurological outcomes in patients with outof-hospital cardiac arrest treated with extracorporeal cardiopulmonary

resuscitation. JAMA Netw Open. 2020;3(11): e2022920.

40. Okada Y, Kiguchi T, Irisawa T, et al. Association between low pH and

unfavorable neurological outcome among out-of-hospital cardiac arrest

patients treated by extracorporeal CPR: a prospective observational

cohort study in Japan. J Intensive Care. 2020;8:34.

41. Okada Y, Komukai S, Kitamura T, et al. Clinical phenotyping of out-of-hospital cardiac arrest patients with shockable rhythm - machine learningbased unsupervised cluster analysis. Circ J. 2022;86(4):668–76.

42. Schmitzberger FF, Haas NL, Coute RA, et al. ECPR2: expert consensus on

PeRutaneous cannulation for extracorporeal cardiopulmonary resuscitation. Resuscitation. 2022;179:214–20.

Okada et al. Critical Care

(2023) 27:351

43. Read AC, Morgan S, Reynolds C, et al. The effect of a structured ECPR protocol aided by specific simulation training in a quaternary ECMO centre: a

retrospective pre-post study. Resusc Plus. 2022;10:100234.

44. Grunau B, Carrier S, Bashir J, et al. A comprehensive regional clinical

and educational ECPR protocol decreases time to ECMO in patients

with refractory out-of-hospital cardiac arrest. Can J Emerg Med.

2017;19(6):424–33.

45. Gottula AL, Shaw CR, Gorder KL, et al. Eligibility of out-of-hospital cardiac

arrest patients for extracorporeal cardiopulmonary resuscitation in the

united states: a geographic information system model. Resuscitation.

2022;180:111–20.

46. Addison D, Cheng E, Forrest P, Livingstone A, Morton RL, Dennis M.

Cost-effectiveness of extracorporeal cardiopulmonary resuscitation for

adult out-of-hospital cardiac arrest: a systematic review. Resuscitation.

2022;178:19–25.

47. Matsuoka Y, Goto R, Atsumi T, et al. Cost-effectiveness of extracorporeal

cardiopulmonary resuscitation for out-of-hospital cardiac arrest: a multicentre prospective cohort study. Resuscitation. 2020;157:32–8.

48. Reich MR, Shibuya K. The future of Japan’s health system-sustaining good

health with equity at low cost. N Engl J Med. 2015;373(19):1793–7.

49. Wei Y, Pek PP, Doble B, et al. Strategies to improve survival outcomes of

out-of-hospital cardiac arrest (OHCA) given a fixed budget: a simulation

study. Resuscitation. 2020;149:39–46.

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