Department of General and Upper GI Surgery, Ninewells Hospital, Dundee, Scotland.
Ann Surg. 2023 May 1;277(5):e1051-e1055. doi: 10.1097/SLA.0000000000005469. Epub 2022 Jul 8.
The present study defines prolonged length of stay (PLOS) following elective laparoscopic cholecystectomy (LC) and its relationship with perioperative morbidity. A preoperative risk tool to predict PLOS is derived to inform resource utilization, risk stratification and patient consent.
Surgical candidates for elective LC are a heterogeneous group at risk of various perioperative adverse outcomes. Preoperative recognition of high-risk patients for PLOS has implications on feasibility for day surgery, resource utilization, preoperative risk stratification, and patient consent.
Data for all patients who underwent elective LC between January 2015 and January 2020 across 3 surgical centers (1 tertiary referral center and 2 satellite units) in 1 health board were collected retrospectively (n=2166). The optimal cut-off of PLOS as a proxy for operation-related adverse outcomes was found using receiver operating characteristic curves. Multivariate logistic regression was conducted on a derivation subcohort to derive a preoperative model predicting PLOS. Receiver operating characteristic curves were performed to validate the model. Patients were stratified by the risk tool and the risks of PLOS were determined.
A LOS of ≥3 days following elective LC demonstrated the best diagnostic ability for operation-related adverse outcomes [area under curve (AUC)=0.87] and defined the PLOS cut-off. The rate of PLOS was 6.6% (144/2166), 86.1% of which had a perioperative adverse outcome. PLOS was strongly associated with all adverse outcomes (subtotal, conversion-to-open, intraoperative complications, postoperative complication/imaging/intervention) ( P <0.001). The preoperative model demonstrated good diagnostic ability for PLOS in the derivation (AUC=0.81) and validation cohorts (AUC=0.80) and stratified patients appropriately.
Morbidity in PLOS patients is significant and pragmatic patient selection in accordance with the risk tool may help centers improve resource utilization, risk stratification, and their consent process. The risk tool may help select candidates for cholecystectomy in a strictly ambulatory/outpatient center.
本研究定义了择期腹腔镜胆囊切除术(LC)后住院时间延长(PLOS)及其与围手术期发病率的关系。为了告知资源利用、风险分层和患者同意,从术前风险工具中得出预测 PLOS 的方法。
择期行 LC 的手术候选者是一组存在各种围手术期不良结局风险的异质群体。术前识别 PLOS 的高危患者对日间手术的可行性、资源利用、术前风险分层和患者同意具有重要意义。
回顾性收集了 2015 年 1 月至 2020 年 1 月期间在一个卫生委员会的 3 个外科中心(1 个三级转诊中心和 2 个卫星单位)接受择期 LC 的所有患者的数据(n=2166)。使用受试者工作特征曲线(ROC)找到 PLOS 的最佳截断值作为手术相关不良结局的替代指标。在一个推导子队列中进行多变量逻辑回归,以得出预测 PLOS 的术前模型。进行 ROC 以验证模型。根据风险工具对患者进行分层,并确定 PLOS 的风险。
LC 后 LOS 超过 3 天的患者显示出对手术相关不良结局的最佳诊断能力[曲线下面积(AUC)=0.87],并确定了 PLOS 的截断值。PLOS 的发生率为 6.6%(144/2166),其中 86.1%的患者有围手术期不良结局。PLOS 与所有不良结局(包括中转开腹、术中并发症、术后并发症/影像学干预)均有强烈相关性(P<0.001)。该术前模型在推导队列(AUC=0.81)和验证队列(AUC=0.80)中对 PLOS 有良好的诊断能力,并且能够对患者进行适当分层。
PLOS 患者的发病率较高,根据风险工具进行切实可行的患者选择,可能有助于中心提高资源利用率、风险分层和同意过程。该风险工具可能有助于在严格的门诊/日间手术中心选择胆囊切除术患者。