Establishment and validation of a nomogram for predicting the risk of syncope after craniomaxillofacial surgery
- Lan Huang 1, Jun Zhuang 2, Zhiyao Lin 3, Jia Min 4, Cheng Wang 3, Jintian Hu 5, Wenhong Wu 1
- Lan Huang 1, Jun Zhuang 2, Zhiyao Lin 3
- 1Anesthesia Intensive Care Unit, Plastic Surgery Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
- 2Department of Ear Reconstruction, Plastic Surgery Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
- 3Zhejiang Chinese Medical University, Hangzhou, China.
- 4Department of Plastic Surgery and Beauty, Nanchang People's Hospital, Jiangxi, China.
- 5Department of Cosmetic Injection Center, Plastic Surgery Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, China.
- 0Anesthesia Intensive Care Unit, Plastic Surgery Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
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September 4, 2024
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View abstract on PubMed
Summary
This summary is machine-generated.This study identified key factors like age and medical history that predict syncope after craniomaxillofacial surgery. A validated nomogram model accurately assesses syncope risk, aiding preventive strategies.
Area Of Science
- Plastic Surgery
- Neurosurgery
- Cardiology
Background
- Syncope, or fainting, is a potential complication following plastic surgery, particularly craniomaxillofacial procedures.
- Identifying patients at risk is crucial for implementing effective preventative measures and improving patient outcomes.
Purpose Of The Study
- To identify factors influencing syncope occurrence in patients undergoing craniomaxillofacial surgery.
- To develop and validate a predictive model for syncope risk in this patient population.
Main Methods
- A cohort of 265 craniomaxillofacial surgery patients were analyzed, categorized into syncope and non-syncope groups.
- Multivariate logistic regression identified risk factors; a nomogram was constructed using R.
- Model fit was assessed using the Hosmer-Lemeshow test, and predictive accuracy was evaluated via ROC curve analysis.
Main Results
- Syncope occurred in 32.8% of patients.
- Significant risk factors included age, orthostatic vital signs, prior syncope, weight loss history, and medication history (P < 0.05).
- The developed nomogram demonstrated good fit (P = 0.431) and high predictive accuracy (AUC = 0.886).
Conclusions
- The study successfully developed a well-fitted and accurate nomogram for predicting syncope risk post-craniomaxillofacial surgery.
- This tool can guide the implementation of targeted preventive strategies, potentially reducing syncope incidence.
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