Can we predict patient outcome before extracorporeal membrane oxygenation for refractory cardiac arrest?

Table 2 Logistic regression analysis of survival to discharge

	Univariate analysis (crude)			Multivariate analysis (adjusted)
Predictor	Coefficient	OR(95% CI)	P-value	Coefficient	OR(95% CI)	P-value	Score
Age
< 55	0.957	2.604 (1.175–5.771)	0.018
> =55		1.000
Location of cardiac arrest
OHCA^a or IHCA^b		1.000			1.000
Emergency department	1.248	3.482(1.263–9.600)	0.016	1.312	3.715(1.190–11.596)	0.024	5
CPR^c to ECMO^d (min)
< 48	1.836	6.271(2.648–14.851)	< 0.001	1.743	5.714(2.221–14.698)	< 0.001	7
> =48		1.000			1.000
Initial cardiac rhythm
Asystole or PEA^e		1.000			1.000
Pulseless VT^f or Vf^g	1.584	4.875(2.075–11.453)	< 0.001	1.712	5.543(2.057–14.937)	0.001	7
Lactate (IU/ml)
< =9.7	1.269	3.556(1.451–8.711)	0.006
> 9.7		1.000
Initial pH
< 7.31		1.000
> =7.31	1.171	3.225(1.394–7.464)	0.006
Eitology of cardiac arrest
Acute myocardial infarction		1.000
Cardiomyopathy	−0.506	0.603(0.169–2.158	0.437
Myocarditis	1.404	4.071(1.009–16.426)	0.049
Pulmonary embolism	−1.774	0.170(0.020–1.435)	0.103
Others	−0.793	0.452(0.112–1.825)	0.265

Hosmer-Lemeshow goodness-of-fit test indicated no evidence of lack of fit in the selected model (p = 0.185).OR = Odds ratio
^aOHCA Out-of-hospital cardiac arrest, ^bIHCA In-hospital cardiac arrest, ^cCPR Cardiopulmonary resuscitation, ^dECMO Extracorporeal membrane oxygenation, ^ePEA Pulselss electrical activity, ^fVT Ventricular tachycardia, ^gVf Ventricular fibrillation

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