美国外科医师学会-国家手术质量改进程序计算器和手术apgar作为胆囊切除术后并发症的预测因子。

IF 1.8
Diana Tejeda-Herrera, Jose Caballero-Alvarado, Carlos Zavaleta-Corvera
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引用次数: 0

摘要

背景:腹腔镜胆囊切除术被认为是安全的;然而,它并非没有并发症,如胆管损伤、出血和手术部位感染。目的:本研究的目的是确定两种预测工具,即美国外科医师学会-国家手术质量改进计划(ACS-NSQIP)计算器和外科Apgar预测胆囊切除术后并发症的有效性。方法:对2015年至2019年在特鲁希略地区教学医院行开放或腹腔镜胆囊切除术的18岁以上急性胆囊炎患者进行横断面、分析和比较研究。采用卡方检验进行双变量分析,采用受试者工作特征(ROC)曲线分析确定ACS-NSQIP和手术Apgar计算器预测严重并发症的判别能力。结果:共纳入227例患者。分析结果显示,出现严重并发症的患者平均年龄为75.32±4.58岁。此外,52.6%的患者为男性。基于ROC曲线的预测分析,ACS-NSQIP计算器显示曲线下面积为0.895 (95%CI 0.819-0.971;p=0.01),而手术Apgar计算器显示曲线下面积为0.611 (95%CI 0.488-0.735;p = 0.11)。结论:所得结果表明ACS-NSQIP计算器可有效预测急性胆囊炎胆囊切除术患者的严重并发症。这些发现可能对临床实践和医疗决策具有重要意义,重点是适当使用预测工具来改善这类外科手术的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
THE AMERICAN COLLEGE OF SURGEONS-NATIONAL SURGICAL QUALITY IMPROVEMENT PROGRAM CALCULATOR AND SURGICAL APGAR AS PREDICTORS OF POST-CHOLECYSTECTOMY COMPLICATIONS.

Background: Laparoscopic cholecystectomy is considered safe; however, it is not free from complications, such as bile duct injuries, bleeding, and infection of the surgical site.

Aims: The aim of this study was to determine the effectiveness of two prediction tools, the American College of Surgeons-National Surgical Quality Improvement Program (ACS-NSQIP) calculator and the surgical Apgar, in predicting post-cholecystectomy complications.

Methods: A cross-sectional, analytical, and comparative study was conducted on patients over 18 years old diagnosed with acute cholecystitis who underwent open or laparoscopic cholecystectomy at the Regional Teaching Hospital of Trujillo between 2015 and 2019. A chi-square test was used for bivariate analysis, and the receiver operating characteristic (ROC) curve analysis was employed to determine the discriminative capacity of the ACS-NSQIP and surgical Apgar calculators in predicting severe complications.

Results: A total of 227 patients were included in the study. The analysis revealed that the mean age of patients who experienced severe complications was 75.32±4.58 years. Additionally, 52.6% of these patients were male. Regarding the prediction analysis based on the ROC curve, the ACS-NSQIP calculator showed an area under the curve of 0.895 (95%CI 0.819-0.971; p=0.01), whereas the surgical Apgar calculator showed an area under the curve of 0.611 (95%CI 0.488-0.735; p=0.11).

Conclusions: The obtained results indicate that the ACS-NSQIP calculator is effective in predicting severe complications in patients undergoing cholecystectomy due to acute cholecystitis. These findings may have important implications for clinical practice and medical decision-making, focusing on the appropriate use of prediction tools to improve outcomes in this type of surgical procedure.

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