PDF(Pubmed)
Abstract：
UNASSIGNED: To predict the incidence of postoperative ileus in bladder cancer patients after radical cystectomy.
UNASSIGNED: We retrospectively analyzed the perioperative data of 452 bladder cancer patients who underwent radical cystectomy with urinary diversion at the Second Hospital of Tianjin Medical University between 2016 and 2021. Univariate and multivariate logistic regression were used to identify the risk factors for postoperative ileus. Finally, a nomogram model was established and verified based on the independent risk factors.
UNASSIGNED: Our study revealed that 96 patients (21.2%) developed postoperative ileus. Using multivariate logistic regression analysis, we found that the independent risk factors for postoperative ileus after radical cystectomy included age > 65.0 years, high or low body mass index, constipation, hypoalbuminemia, and operative time. We established a nomogram prediction model based on these independent risk factors. Validation by calibration curves, concordance index, and decision curve analysis showed a strong correlation between predicted and actual probabilities of occurrence.
UNASSIGNED: Our nomogram prediction model provides surgeons with a simple tool to predict the incidence of postoperative ileus in bladder cancer patients undergoing radical cystectomy.
UNASSIGNED: We retrospectively analyzed the perioperative data of 452 bladder cancer patients who underwent radical cystectomy with urinary diversion at the Second Hospital of Tianjin Medical University between 2016 and 2021. Univariate and multivariate logistic regression were used to identify the risk factors for postoperative ileus. Finally, a nomogram model was established and verified based on the independent risk factors.
UNASSIGNED: Our study revealed that 96 patients (21.2%) developed postoperative ileus. Using multivariate logistic regression analysis, we found that the independent risk factors for postoperative ileus after radical cystectomy included age > 65.0 years, high or low body mass index, constipation, hypoalbuminemia, and operative time. We established a nomogram prediction model based on these independent risk factors. Validation by calibration curves, concordance index, and decision curve analysis showed a strong correlation between predicted and actual probabilities of occurrence.
UNASSIGNED: Our nomogram prediction model provides surgeons with a simple tool to predict the incidence of postoperative ileus in bladder cancer patients undergoing radical cystectomy.
摘要：
■预测膀胱癌患者根治性膀胱切除术后肠梗阻的发生率。
■回顾性分析2016-2021年天津医科大学第二医院452例膀胱癌患者的围手术期资料。采用单因素和多因素logistic回归分析术后肠梗阻的危险因素。最后,基于独立危险因素建立并验证了列线图模型。
■我们的研究显示96例患者（21.2%）发生术后肠梗阻。采用多元逻辑回归分析，我们发现根治性膀胱切除术后肠梗阻的独立危险因素包括年龄>65.0岁,高或低体重指数，便秘,低蛋白血症,和手术时间。我们建立了基于这些独立风险因素的列线图预测模型。通过校正曲线验证，协调指数,和决策曲线分析表明，预测和实际发生概率之间存在很强的相关性。
■我们的列线图预测模型为外科医生提供了一种简单的工具，可以预测接受根治性膀胱切除术的膀胱癌患者术后肠梗阻的发生率。
■回顾性分析2016-2021年天津医科大学第二医院452例膀胱癌患者的围手术期资料。采用单因素和多因素logistic回归分析术后肠梗阻的危险因素。最后,基于独立危险因素建立并验证了列线图模型。
■我们的研究显示96例患者（21.2%）发生术后肠梗阻。采用多元逻辑回归分析，我们发现根治性膀胱切除术后肠梗阻的独立危险因素包括年龄>65.0岁,高或低体重指数，便秘,低蛋白血症,和手术时间。我们建立了基于这些独立风险因素的列线图预测模型。通过校正曲线验证，协调指数,和决策曲线分析表明，预测和实际发生概率之间存在很强的相关性。
■我们的列线图预测模型为外科医生提供了一种简单的工具，可以预测接受根治性膀胱切除术的膀胱癌患者术后肠梗阻的发生率。
