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在一个拉丁美洲高容量中心对 Parkland 分级量表进行回顾性验证。

Retrospective validation of parkland grading scale in a Latin-American high-volume center.

机构信息

Universidad de Los Andes, Bogotá, Colombia.

Hospital Universitario Fundación Santa Fe de Bogotá, 110111, Bogotá, Colombia.

出版信息

Surg Endosc. 2023 Jul;37(7):5190-5195. doi: 10.1007/s00464-023-09946-3. Epub 2023 Mar 22.

Abstract

BACKGROUND

Increased complication rates following laparoscopic cholecystectomies have been described, likely related to surgical difficulty, anatomical variations, and gallbladder inflammation severity. Parkland Grading Scale (PGS) stratifies the severity of intraoperative findings to predict operative difficulty and complications. This study aims to validate PGS as a postoperative-outcome predictive tool, comparing its performance with Tokyo Guidelines Grading System (TGGS).

METHODS

This is a single-center retrospective cohort study where PGS and TGGS performances were evaluated regarding intraoperative and postoperative outcomes. Both univariate and bivariate analyses were performed on each severity grading scale using STATA-SE 16.0 software. Additionally, we proposed a Logistic Regression Model for each scale. Their association with outcomes was compared between both scales by their Receiver Operating Characteristic Curve.

RESULTS

400 Patients were included. Grade 1 predominance was observed for both PGS and TGGS (47.36% and 25.3%, respectively). A positive association was observed between higher PGS grades and inpatient postoperative care, length of stay, ICU care, and antibiotic requirement. Based on the area under the ROC curve, better performance was observed for PGS over TGGS in the evaluated outcomes.

CONCLUSION

PGS performed better than TGGS as a predictive tool for inpatient postoperative care, length of stay, ICU, and antibiotic requirement, especially in severe cases.

摘要

背景

腹腔镜胆囊切除术的并发症发生率增加,可能与手术难度、解剖变异和胆囊炎症严重程度有关。Parkland 分级量表(PGS)对术中发现的严重程度进行分层,以预测手术难度和并发症。本研究旨在验证 PGS 作为术后结果预测工具的性能,比较其与东京指南分级系统(TGGS)的性能。

方法

这是一项单中心回顾性队列研究,评估了 PGS 和 TGGS 在术中及术后结果方面的表现。使用 STATA-SE 16.0 软件对每个严重程度分级量表进行单变量和双变量分析。此外,我们为每个量表提出了一个逻辑回归模型。通过它们的 ROC 曲线,比较了两种量表之间的关联。

结果

共纳入 400 例患者。PGS 和 TGGS 均以 1 级为主(分别为 47.36%和 25.3%)。PGS 分级越高,与住院后护理、住院时间、重症监护室护理和抗生素需求呈正相关。根据 ROC 曲线下面积,PGS 在评估的结果中优于 TGGS。

结论

PGS 作为预测工具,在住院后护理、住院时间、重症监护室和抗生素需求方面的性能优于 TGGS,尤其是在严重情况下。

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