Risk factors for the delayed discharge from anesthesia intensive care unit: a single-center retrospective study.

IF 2.6 3区 医学 Q2 ANESTHESIOLOGY BMC Anesthesiology Pub Date : 2025-02-04 DOI:10.1186/s12871-025-02925-2
Yue Qian, Jing Hao, Wei Zhu, Yan Yang, Zhuan-Yun Zhang, Lu-Yang Zhou, Xiao-Ping Gu, Zheng-Liang Ma, Yu-E Sun
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Abstract

Background: A single-center retrospective study was designed to investigate the risk factors associated with delayed discharge from the Anesthesia Intensive Care Unit (AICU).

Methods: This retrospective study involved patients admitted in the AICU from January 2017 to December 2022. Risk factors for the delayed discharge from the AICU were analyzed by the binary multivariate logistic regression analysis. Nomogram was constructed to predict the risk of delayed discharge from AICU. The performance of the nomogram was assessed using the receiver operating characteristic curve and calibration curve. A decision curve analysis was also performed to determine the net benefit threshold of prediction.

Results: A total of 14,338 patients admitted in the AICU were retrospectively recruited, involving 9,271 males and 5,067 females. The incidence of delayed discharge from the AICU in the cohort was 1.54% (221/14,338). Binary multivariate logistic regression analysis showed that younger than 18 years or older than 64 years, the American Society of Anesthesiologists physical status of class III-IV, body mass index of less than 18 kg/m2 or greater than 25 kg/m2, preoperative complications, emergency surgeries and intraoperative massive hemorrhage were risk factors for the delayed discharge from an AICU. We utilized nomograms to visually express data analysis results. Based on receiver operating characteristic analysis, calibration plots, and decision curve analysis, we concluded that the nomogram model exhibited excellent performance. Patients undergoing spine surgeries suffered from the highest proportion of delayed discharge from the AICU, followed by those receiving orthopedic and vascular surgeries. Postoperative hemorrhage was the major cause of delayed discharge from an AICU, followed by septic shock, hypoperfusion and pulmonary insufficiency.

Conclusion: The incidence of delayed discharge from the AICU in a single-center tertiary hospital is 1.54%. It is influenced by various risk factors, including age, ASA physical status classification, BMI, preoperative complications, type of surgery and intraoperative blood loss. The nomogram model exhibits excellent performance.

Trial registration: The single-center retrospective study was approved by the Ethics Committee of Nanjing Drum Tower Hospital (No. 2021-563-01, Data: 22 November 2021) and registered on the Chinese Clinical Trial Registry (No. ChiCTR2300078251, Data: 01 December 2023).

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麻醉重症监护病房延迟出院的危险因素:单中心回顾性研究。
背景:一项单中心回顾性研究旨在调查与麻醉重症监护病房(AICU)延迟出院相关的危险因素。方法:本回顾性研究纳入2017年1月至2022年12月在AICU住院的患者。采用二元多因素logistic回归分析延迟出院的危险因素。构建Nomogram预测AICU延迟出院风险。利用接收机工作特性曲线和校准曲线对图的性能进行评价。还进行了决策曲线分析,以确定预测的净效益阈值。结果:回顾性纳入AICU患者14338例,其中男性9271例,女性5067例。该队列中延迟出院的发生率为1.54%(221/ 14338)。二元多因素logistic回归分析显示,年龄小于18岁或大于64岁、美国麻醉医师协会身体状况为III-IV级、体重指数小于18 kg/m2或大于25 kg/m2、术前并发症、急诊手术及术中大出血是延迟出院的危险因素。我们使用图来直观地表达数据分析结果。基于接收机工作特性分析、校准图和决策曲线分析,我们得出nomogram模型具有良好的性能。接受脊柱手术的患者延迟出院比例最高,其次是接受骨科和血管手术的患者。术后出血是急性重症监护室延迟出院的主要原因,其次是感染性休克、灌注不足和肺功能不全。结论:某单中心三级医院重症监护室延迟出院发生率为1.54%。受年龄、ASA身体状态分类、BMI、术前并发症、手术类型、术中出血量等多种危险因素的影响。模态图模型表现出优异的性能。试验注册:该单中心回顾性研究已获得南京鼓楼医院伦理委员会批准(No. 2021-563-01,数据:2021年11月22日),并在中国临床试验注册中心注册(No. 22)。ChiCTR2300078251,数据:2023年12月1日)。
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来源期刊
BMC Anesthesiology
BMC Anesthesiology ANESTHESIOLOGY-
CiteScore
3.50
自引率
4.50%
发文量
349
审稿时长
>12 weeks
期刊介绍: BMC Anesthesiology is an open access, peer-reviewed journal that considers articles on all aspects of anesthesiology, critical care, perioperative care and pain management, including clinical and experimental research into anesthetic mechanisms, administration and efficacy, technology and monitoring, and associated economic issues.
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