PDF(Pubmed)
Abstract：
UNASSIGNED: To make early predictions of PACU VAS before surgery, we created a novel nomogram for the early prediction of PACU VAS in patients having laparoscopic radical excision of colorectal cancer with fentanyl.
UNASSIGNED: From July 2018 to December 2020, a total of 101 patients in Zhongshan Hospital Affiliated to Fudan University who underwent laparoscopic radical resection of colorectal cancer were enrolled in this study. For feature selection, a stepwise regression model was utilized. Multivariable logistic regression analysis was used to establish a prediction model. We incorporated age, gender, weight, height, fentanyl dosage during operation, operation time, and OPRM1 genotype, and this was presented with a nomogram. The nomogram\'s performance was evaluated in terms of discrimination and clinical utility.
UNASSIGNED: The signature, which comprised of seven carefully chosen characteristics, was linked to the PACU VAS for the development dataset. Predictors contained in the individualized prediction nomogram included age, gender, weight, height, fentanyl dosage during operation, operation time, and OPRM1 genotype. With an area under the ROC curve of 0.877 (95% CI, 0.6874-1.0000), the model showed good discrimination. The nomogram still had good discrimination. Decision curve analysis demonstrated that the nomogram was clinically useful.
UNASSIGNED: The nomogram presented in this study incorporates age, gender, weight, height, fentanyl dosage during operation, operation time, and OPRM1 genotype and can be conveniently used to facilitate the individualized prediction of PACU VAS in patients undergoing laparoscopic radical resection of colorectal cancer with fentanyl.
UNASSIGNED: From July 2018 to December 2020, a total of 101 patients in Zhongshan Hospital Affiliated to Fudan University who underwent laparoscopic radical resection of colorectal cancer were enrolled in this study. For feature selection, a stepwise regression model was utilized. Multivariable logistic regression analysis was used to establish a prediction model. We incorporated age, gender, weight, height, fentanyl dosage during operation, operation time, and OPRM1 genotype, and this was presented with a nomogram. The nomogram\'s performance was evaluated in terms of discrimination and clinical utility.
UNASSIGNED: The signature, which comprised of seven carefully chosen characteristics, was linked to the PACU VAS for the development dataset. Predictors contained in the individualized prediction nomogram included age, gender, weight, height, fentanyl dosage during operation, operation time, and OPRM1 genotype. With an area under the ROC curve of 0.877 (95% CI, 0.6874-1.0000), the model showed good discrimination. The nomogram still had good discrimination. Decision curve analysis demonstrated that the nomogram was clinically useful.
UNASSIGNED: The nomogram presented in this study incorporates age, gender, weight, height, fentanyl dosage during operation, operation time, and OPRM1 genotype and can be conveniently used to facilitate the individualized prediction of PACU VAS in patients undergoing laparoscopic radical resection of colorectal cancer with fentanyl.
摘要：
■为了在手术前对PACUVAS进行早期预测，我们创建了一个新的列线图,用于早期预测使用芬太尼行腹腔镜结直肠癌根治术患者的PACUVAS.
■2018年7月至2020年12月，复旦大学附属中山医院共101例行腹腔镜结直肠癌根治术的患者纳入本研究。对于特征选择，采用逐步回归模型。采用多变量logistic回归分析建立预测模型。我们结合了年龄，性别,体重,高度,术中芬太尼用量,操作时间,和OPRM1基因型，这是一个列线图。根据区分度和临床效用评估列线图的性能。
■签名，其中包括七个精心挑选的特征，已链接到开发数据集的PACUVAS。个性化预测列线图中包含的预测因子包括年龄，性别,体重,高度,术中芬太尼用量,操作时间,和OPRM1基因型。ROC曲线下面积为0.877(95%CI,0.6874-1.0000),该模型显示出良好的鉴别力。列线图仍然有很好的区分度。决策曲线分析表明，列线图在临床上有用。
■本研究中提供的列线图包含了年龄，性别,体重,高度,术中芬太尼用量,操作时间,和OPRM1基因型，可以方便地用于腹腔镜下芬太尼结直肠癌根治术患者PACUVAS的个体化预测。
■2018年7月至2020年12月，复旦大学附属中山医院共101例行腹腔镜结直肠癌根治术的患者纳入本研究。对于特征选择，采用逐步回归模型。采用多变量logistic回归分析建立预测模型。我们结合了年龄，性别,体重,高度,术中芬太尼用量,操作时间,和OPRM1基因型，这是一个列线图。根据区分度和临床效用评估列线图的性能。
■签名，其中包括七个精心挑选的特征，已链接到开发数据集的PACUVAS。个性化预测列线图中包含的预测因子包括年龄，性别,体重,高度,术中芬太尼用量,操作时间,和OPRM1基因型。ROC曲线下面积为0.877(95%CI,0.6874-1.0000),该模型显示出良好的鉴别力。列线图仍然有很好的区分度。决策曲线分析表明，列线图在临床上有用。
■本研究中提供的列线图包含了年龄，性别,体重,高度,术中芬太尼用量,操作时间,和OPRM1基因型，可以方便地用于腹腔镜下芬太尼结直肠癌根治术患者PACUVAS的个体化预测。
