Key result
Novel intra-arrest blood biomarker model predicts sustained ROSC in OHCA with ~0.81 AUC.
Why the study?
The predictive value of intra-arrest blood routine, biochemistry, and coagulation markers during CPR for sustained return of spontaneous circulation in patients with out-of-hospital cardiac arrest required investigation.
Does a multivariable prediction model based on intra-arrest blood markers obtained during CPR accurately predict sustained return of spontaneous circulation in patients with out-of-hospital cardiac arrest?
Cohort (n=283)
no formal blinding procedure was implemented
No
Does a multivariable prediction model based on intra-arrest blood markers obtained during CPR accurately predict sustained return of spontaneous circulation in patients with out-of-hospital cardiac arrest?
Intra-arrest blood markers obtained during emergency department CPR (particularly WBC, PCO2, and potassium) show promise in predicting sustained ROSC (optimism-corrected AUC 0.807), though external validation incorporating standard Utstein variables is needed before clinical use.
Answers are grounded in this paper and cite their sources.
May inform intra-arrest ROSC prediction in OHCA; hypothesis-generating and requires external validation before clinical use.
Objective This study aimed to investigate the predictive value of intra-arrest blood markers, including blood routine, blood biochemistry, and coagulation profile, during cardiopulmonary resuscitation (CPR) for the return of spontaneous circulation (ROSC) in patients with out-of-hospital cardiac arrest (OHCA). Methods A retrospective cohort of patients who experienced OHCA and admitted to the emergency department of a tertiary hospital in Zhejiang Province, China, between January 2021 and December 2025 was assembled. Their clinical and demographic data were collected, and missing values were addressed using multiple imputation. Physiologic laboratory markers obtained during resuscitation were compared between the sustained ROSC and non-ROSC groups. Candidate predictors were selected based on clinical relevance, previous literature, availability at the intended prediction time point, and univariable screening, with age and gender retained as prespecified demographic covariates. Model discrimination for the prediction of sustained ROSC was evaluated using a receiver operating characteristic analysis and the area under the curve (AUC). Internal validation was performed using bootstrap resampling to assess model stability and quantify potential overfitting. Results A total of 283 patients were included, and among them, 94 (33.22%) achieved sustained ROSC. Missing data were handled using multiple imputation ( m = 20). In univariable analyses, the sustained ROSC group had higher PCO 2 , platelet count, white blood cell count, and absolute lymphocyte count; higher admission glucose, fibrinogen, and serum calcium levels; shorter chest compression duration and prothrombin time; and lower epinephrine dose, serum potassium level, and international normalized ratio than the non-sustained ROSC group (all P < 0.05). A multivariable logistic regression model incorporating age; gender; white blood cell count; platelet count; blood PCO 2 measured during CPR; capillary blood glucose level on admission; and fibrinogen, serum potassium, and serum calcium levels yielded a mean apparent AUC of 0.832 across the imputed datasets. After internal validation with 500 bootstrap resamples, the optimism-corrected AUC was 0.807 and the bootstrap-derived calibration slope was 0.853. The final model is given as follows: logit[P(ROSC=1)] = −2.65−0.002 × age−0.790 × gender + 0.076 × white blood cell count + 0.001 × platelet count + 0.010 × PCO 2 −0.011 × admission glucose + 0.145 × fibrinogen−0.247 × serum potassium+0.633 × serum calcium. Conclusion In patients who experienced OHCA, higher white blood cell count and lower serum potassium levels were associated with a higher incidence of sustained ROSC. Female patients were more likely to achieve sustained ROSC than male patients. Although the model showed certain predictive value for sustained ROSC, further multicenter, large-scale studies are needed in the future.
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Xu et al. (2026) conducted a cohort in Out-of-hospital cardiac arrest (OHCA) (n=283). Multivariable prediction model using intra-arrest blood markers (WBC, platelet count, blood PCO2, admission glucose, fibrinogen, potassium, calcium) and demographics (age, gender) was evaluated on Sustained return of spontaneous circulation (ROSC) for >=20 min after cessation of chest compressions (Apparent AUC 0.832, optimism-corrected AUC 0.807). A multivariable prediction model incorporating intra-arrest blood markers and demographics predicted sustained ROSC in OHCA patients with an optimism-corrected AUC of 0.807.
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