Derivation and validation of the CANP scoring model for predicting the neurological outcome in post-cardiac arrest patients.

OBJECTIVES: To establish and validate a prognostic scoring model in a Chinese population to predict the neurological outcome among comatose survivors of cardiac arrest (CA). METHODS: 159 CA patients between January 2016 and November 2020 were recruited in this retrospective study. In the derivation cohort, prognostic factors available from arrest circumstances and early in-hospital indicators were measured. The Cardiac Arrest Neurological Prognosis (CANP) score was then constructed to predict unfavorable outcomes at 30 days after CA. The assessment of predictive effectiveness of this scoring model was conducted in both derivation and validation cohorts. RESULTS: Witnessed status, bystander cardiopulmonary resuscitation, initial rhythm, duration of resuscitation, Glasgow Coma Scale motor score, pupillary/corneal reflex, gray-white matter ratio and neuron-specific enolase exhibit strong correlations with the neurological outcomes in the derivation cohort (all p<0.05), and a risk scoring model for the prediction of an unfavorable outcome was created using these factors. In the validation cohort, significantly higher CANP scores were noted in the unfavorable outcome group. A CANP score ≥5 was associated with unfavorable neurological outcomes (sensitivity 68.8%, specificity 100%). CONCLUSION: The CANP score was established and validated for predicting the possible neurological prognosis in comatose post-CA survivors.