Factors predicting the return of spontaneous circulation rate of cardiopulmonary resuscitation in China: Development and evaluation of predictive nomogram
A predictive nomogram model was successfully established and proved to identify the influencing factors of the ROSC rate in patients with CA. During cardiopulmonary resuscitation, adjusting the emergency treatment based on the influence factors on ROSC rate is suggested to improve the treatment rate of patients with CA.
Authors
- Qianqian Jin
- Leilei Yan (ORCID: https://orcid.org/0009-0004-0378-0732)
- SU Hongxia (ORCID: https://orcid.org/0000-0002-9964-1654)
- Liangliang Zhou (ORCID: https://orcid.org/0000-0001-6148-8212)
- Dejun Liao
- Jinpeng Wang (ORCID: https://orcid.org/0000-0003-2745-4996)
- Guangrong Lu
Institutions
- Wenzhou Medical University (CN)
- Second Affiliated Hospital & Yuying Children's Hospital of Wenzhou Medical University (CN)
Publication Details
- Journal
- Heliyon
- Published
- 2024-08-01
- DOI
- https://doi.org/10.1016/j.heliyon.2024.e35903
- Citations
- 3
- Primary Topic
- Cardiac Arrest and Resuscitation
- Type
- article
- Field-Weighted Citation Impact
- 2.07