从尼泊尔的角度验证术前评分系统预测腹腔镜胆囊切除术的难度

S. Baral, Neeraj Thapa, R. Chhetri
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引用次数: 3

摘要

引言:术前预测导致胆囊切除术困难或转化的因素有助于提前计划手术策略和可能的结果。本研究旨在使用评分系统预测和分析因症状性胆结石而接受胆囊切除术的患者的手术困难的风险因素。方法:这项基于医院的前瞻性研究在尼泊尔蓝毗尼医学院外科和教学医院进行。术前考虑的各种因素包括性别、年龄、既往住院史、结石嵌顿、肥胖、胆囊壁厚度、胆囊周围积液、既往腹部疤痕和可触及的胆囊。结果:177例手术患者的平均年龄±SD为47.72±17.54岁。转化率为7.9%。术前评分为5分;敏感性、特异性、阳性预测值和阴性预测值分别为89.40%(CI:83.36%-93.82%)、69.23%(CI:48.21%-85.67%)、94.41%(CI:90.44%-96.79%)和52.94%(CI:39.85%-65.64%),既往住院{p=0.001,OR(CI):6.8(2.2-20.8)}和胆囊壁增厚{p=0.03,OR(CI:3.6(1.1-11.5)}是具有统计学意义的危险因素。结论:通过预先可能的预测,可以识别和处理高危人群,从而产生良好的手术效果,避免并发症。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Validation of a Preoperative Scoring System to Predict Difficult Laparoscopic Cholecystectomy: A Nepalese Perspective
Introduction: Preoperative prediction of the factors leading to difficulty or conversion in cholecystectomy could help plan the surgical strategies and possible outcomes beforehand. The present study aimed to predict and analyze risk factors using a scoring system deemed responsible for surgical difficulties in patients undergoing cholecystectomy for symptomatic cholelithiasis. Methods: This hospital based prospective study was conducted at Department of Surgery, Lumbini Medical College and Teaching Hospital, Nepal. Various factors considered preoperatively were gender, age, previous history of hospitalization, impacted stone, obesity, gall bladder wall thickness, pericholecystic collection, previous abdominal scar and palpable gall bladder. Results: Among 177 cases operated, the mean age ±SD of the patients was 47.72±17.54 years. Conversion rate was 7.9 %. At preoperative score of 5; sensitivity, specificity, positive predictive value and negative predictive value were 89.40% (CI: 83.36%-93.82%), 69.23% (CI: 48.21 %-85.67%), 94.41%(CI: 90.44%-96.79%) and 52.94% (CI: 39.85%-65.64%) respectively{Area under curve– 0.74, p=0.0001, CI (0.637-0.846)}. Multivariate analysis showed abdominal scar {p=0.02, OR (CI): 5.2 (1.2-21.8)}, previous hospitalization {p=0.001, OR(CI): 6.8(2.2-20.8)} and thickened gall bladder wall {p= 0.03, OR(CI): 3.6(1.1-11.5)} to be statistically significant risk factors. Conclusion: With possible prediction beforehand, high risk group of patients can be identified and dealt accordingly to generate good surgical outcome avoiding complications.
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