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院内心脏骤停自主循环恢复的影响因素及预测指标

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

作者信息

Wang Xiao, Kong Tao

机构信息

Department of Cardiology, Fuwai Central China Cardiovascular Hospital, Heart Center of Henan Provincial People's Hospital, Zhengzhou University, Zhengzhou, China.

Department of Cardiology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, China.

出版信息

Front Cardiovasc Med. 2025 Apr 3;12:1514564. doi: 10.3389/fcvm.2025.1514564. eCollection 2025.

DOI:10.3389/fcvm.2025.1514564
PMID:40248253
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12003355/
Abstract

BACKGROUND

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.

OBJECTIVE

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.

METHODS

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.

RESULTS

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 ( < 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%.

CONCLUSION

PIIV demonstrates valuable application in predicting ROSC in IHCA patients.

摘要

背景

院内心脏骤停(IHCA)是指住院患者发生心脏骤停且需要进行胸外按压和/或除颤,心肺复苏后仅有约三分之一的患者实现自主循环恢复(ROSC)。全免疫炎症值(PIIV)是评估体内整体炎症状态的一个指标,但PIIV与ROSC之间的关系仍不清楚。

目的

本研究旨在分析ROSC的发生情况及其影响因素,并探讨PIIV的预测价值,以便为临床防治提供依据。

方法

回顾性收集我院收治的IHCA患者的临床资料。根据心肺复苏后是否恢复自主循环,将患者分为ROSC组和非ROSC组。采用多因素logistic回归分析影响ROSC的因素,并绘制受试者工作特征(ROC)曲线计算曲线下面积(AUC),以评估PIIV的预测价值。

结果

收集了168例患者的临床资料,其中ROSC患者62例,非ROSC患者106例。多因素logistic回归分析结果显示,心肺复苏持续时间、肾上腺素用量、血乳酸(Lac)和PIIV是IHCA患者ROSC的独立影响因素(<0.05)。ROC曲线分析显示,PIIV预测IHCA患者ROSC的AUC为0.805(95%CI:0.720-0.891),最佳截断值为395.3,灵敏度为83.33%,特异度为70.37%。

结论

PIIV在预测IHCA患者ROSC方面具有重要应用价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/358e/12003355/fa371c9f9cf7/fcvm-12-1514564-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/358e/12003355/9491b6c45966/fcvm-12-1514564-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/358e/12003355/fa371c9f9cf7/fcvm-12-1514564-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/358e/12003355/9491b6c45966/fcvm-12-1514564-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/358e/12003355/fa371c9f9cf7/fcvm-12-1514564-g002.jpg

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本文引用的文献

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Impact of Lactate Clearance on Clinical and Neurological Outcomes of Patients With Out-of-Hospital Cardiac Arrest Treated With Extracorporeal Cardiopulmonary Resuscitation: A Secondary Data Analysis.乳酸清除率对接受体外心肺复苏治疗的院外心脏骤停患者临床及神经学预后的影响:一项二次数据分析
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Duration of cardiopulmonary resuscitation and outcomes for adults with in-hospital cardiac arrest: retrospective cohort study.
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Prognostic role of the systemic immune-inflammation index and pan-immune inflammation value for outcomes of breast cancer: a systematic review and meta-analysis.全身免疫炎症指数和泛免疫炎症值对乳腺癌结局的预后作用:系统评价和荟萃分析。
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