Cochrane A Caroline, Olson Evan, Craven Tim, Robinson Erica F, Moulder Janelle K
Wake Forest University Health Sciences, Department of Obstetrics and Gynecology, Winston-Salem, NC. (Drs. Cochrane and Moulder).
The Iowa Clinic, Department of Obstetrics and Gynecology, West Des Moines, IA. (Dr. Olson).
JSLS. 2024 Oct-Dec;28(4). doi: 10.4293/JSLS.2024.00024. Epub 2025 Jan 10.
Optimization of surgical scheduling represents an opportunity to improve resource utilization and increase patient access. Increasing body mass index (BMI) has been associated with increased operating time and may provide an opportunity to more accurately predict operating time.
To investigate the relationship between BMI and operative time for benign hysterectomy and develop a predictive model for hysterectomy operating time based on patient BMI.
A secondary analysis of women undergoing benign laparoscopic, abdominal, or vaginal hysterectomy between 2014 and 2019 was performed using the American College of Surgeons National Surgical Quality Improvement Program database, N=117,691. Our primary outcome was log transformation of operative time. Multivariable linear regression was used to analyze the relationship between operative time and BMI. A model to predict operating time was created using variables that could be reliably obtained preoperatively.
From our cohort, 22% of benign hysterectomies were performed abdominally, 16% were vaginal, and 62% were laparoscopic, and mean operative times were 144, 133, and 158 minutes, respectively. For every 10-unit increase in BMI, estimated mean operation time (OT) increased by 12.8%, 8.1%, and 6.5% for abdominal, vaginal, and laparoscopic hysterectomy, respectively. Neither an expanded nor a concise model was able to account for the variability in log(OT).
Increasing BMI differentially impacts the operative time in abdominal greater than laparoscopic and vaginal hysterectomy. However, operative time for hysterectomy is highly variable, and its estimation is difficult to reliably predict using common preoperative variables.
优化手术排班是提高资源利用率和增加患者就医机会的一个契机。体重指数(BMI)的增加与手术时间的延长有关,这可能为更准确地预测手术时间提供了一个机会。
探讨良性子宫切除术患者BMI与手术时间之间的关系,并基于患者BMI建立子宫切除术手术时间的预测模型。
利用美国外科医师学会国家外科质量改进计划数据库,对2014年至2019年间接受良性腹腔镜、开腹或阴道子宫切除术的女性进行二次分析,样本量N = 117,691。我们的主要结局是手术时间的对数转换值。采用多变量线性回归分析手术时间与BMI之间的关系。使用术前可可靠获取的变量创建一个预测手术时间的模型。
在我们的队列中,22%的良性子宫切除术为开腹手术,16%为阴道手术,62%为腹腔镜手术,平均手术时间分别为144、133和158分钟。对于BMI每增加10个单位,开腹、阴道和腹腔镜子宫切除术的估计平均手术时间(OT)分别增加12.8%、8.1%和6.5%。无论是扩展模型还是简化模型都无法解释log(OT)的变异性。
BMI的增加对开腹子宫切除术手术时间的影响大于腹腔镜和阴道子宫切除术。然而,子宫切除术的手术时间高度可变,使用常见的术前变量很难可靠地预测手术时间。