# Influencing factors and predictive indicators of return of spontaneous circulation in in-hospital cardiac arrest

## TL;DR

This study explores how the pan-immune-inflammation value (PIIV) can predict successful resuscitation in hospitalized patients experiencing cardiac arrest.

## Contribution

The study identifies PIIV as a novel predictor of return of spontaneous circulation (ROSC) in in-hospital cardiac arrest patients.

## Key findings

- PIIV, along with CPR duration, adrenaline dosage, and blood lactate, independently influences ROSC in IHCA patients.
- PIIV has a high predictive value with an AUC of 0.805 for ROSC in IHCA patients.
- The optimal cutoff value for PIIV is 395.3 with 83.33% sensitivity and 70.37% specificity.

## Abstract

In-hospital cardiac arrest (IHCA) refers to the occurrence of cardiac arrest in hospitalized patients requiring chest compressions and/or defibrillation, with only about one-third of patients achieving return of spontaneous circulation (ROSC) after cardiopulmonary resuscitation. Pan-immune-inflammation value (PIIV) is an indicator assessing the overall inflammatory status within the body, but the relationship between PIIV and ROSC remains unclear.

This study aims to analyze the occurrence of ROSC and its influencing factors, and investigate the predictive value of PIIV, in order to provide insights for clinical prevention and treatment.

Clinical data of IHCA patients admitted to our hospital were retrospectively collected. Patients were divided into the ROSC group and non-ROSC group based on whether spontaneous circulation was restored after cardiopulmonary resuscitation. Multivariate logistic regression was used to analyze factors affecting ROSC, and the receiver operating characteristic (ROC) curve was employed to calculate the area under the curve (AUC) to evaluate the predictive value of PIIV.

168 patients' clinical data were collected, including 62 patients with ROSC and 106 with non-ROSC. The results of multivariate logistic regression analysis showed that the duration of cardiopulmonary resuscitation, adrenaline dosage, blood lactate (Lac), and PIIV were independent influencing factors for ROSC in IHCA patients (P < 0.05). The ROC curve analysis revealed that the AUC of PIIV for predicting ROSC in IHCA patients was 0.805 (95% CI: 0.720–0.891), with an optimal cutoff value of 395.3, sensitivity of 83.33%, and specificity of 70.37%.

PIIV demonstrates valuable application in predicting ROSC in IHCA patients.