Nomogram model for predicting post-intubation cardiac arrest in the emergency department: a retrospective study

Our nomogram model, based on systolic blood pressure, heart rate, percutaneous arterial oxygen saturation <90 %, intubation within 5 min of ED arrival, and absence of induction, effectively predicted PICA in ED. This model may serve as a valuable tool for clinicians to identify high-risk emergency patients and optimize airway management strategies.

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Publication Details

Journal
Resuscitation Plus
Published
2025-09-27
DOI
https://doi.org/10.1016/j.resplu.2025.101115
Primary Topic
Airway Management and Intubation Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Nomogram model for predicting post-intubation cardiac arrest in the emergency department: a retrospective study

Hao Zhou, Yuan Fang, Bingwen Zhang, Miaomiao Jin et al.
Resuscitation Plus
Airway Management and Intubation Techniques
article

Nomogram model for predicting post-intubation cardiac arrest in the emergency department: a retrospective study

Hao Zhou, Yuan Fang, Bingwen Zhang, Miaomiao Jin, X. C. Lou, D. P. Jin
article en

Abstract

Our nomogram model, based on systolic blood pressure, heart rate, percutaneous arterial oxygen saturation <90 %, intubation within 5 min of ED arrival, and absence of induction, effectively predicted PICA in ED. This model may serve as a valuable tool for clinicians to identify high-risk emergency patients and optimize airway management strategies.

Resuscitation PlusVol. 26
Jinhua Central Hospital (CN)
Openalex Percentile: Top 58%
Airway Management and Intubation Techniques
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