Department of Public Health, University of Naples "Federico II", Naples, Italy.
Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy.
Sci Rep. 2023 Sep 7;13(1):14700. doi: 10.1038/s41598-023-41597-1.
Gallstone disease (GD) is one of the most common morbidities in the world. Laparoscopic Cholecystectomy (LC) is currently the gold standard, performed in about 96% of cases. The most affected groups are the elderly, who generally have higher pre- and post-operative morbidity and mortality rates and longer Length of Stay (LOS). For this reason, several indicators have been defined to improve quality and efficiency and contain costs. In this study, data from patients who underwent LC at the "San Giovanni di Dio e Ruggi d'Aragona" University Hospital of Salerno in the years 2010-2020 were processed using a Multiple Linear Regression (MLR) model and Classification algorithms in order to identify the variables that most influence LOS. The results of the 2352 patients analyzed showed that pre-operative LOS and Age were the independent variables that most affected LOS. In particular, MLR model had a R value equal to 0.537 and the best classification algorithm, Decision Tree, had an accuracy greater than 83%. In conclusion, both the MLR model and the classification algorithms produced significant results that could provide important support in the management of this healthcare process.
胆石病（GD）是世界上最常见的多发病之一。腹腔镜胆囊切除术（LC）目前是金标准，约 96%的病例采用该方法。受影响最大的群体是老年人，他们普遍具有更高的术前和术后发病率和死亡率，以及更长的住院时间（LOS）。出于这个原因，已经定义了几个指标来提高质量和效率并控制成本。在这项研究中，使用多线性回归（MLR）模型和分类算法对 2010 年至 2020 年在萨勒诺“圣乔瓦尼·迪·迪奥和鲁吉·德拉戈纳”大学医院接受 LC 的患者的数据进行了处理，以确定最影响 LOS 的变量。对 2352 名患者的分析结果表明，术前 LOS 和年龄是最影响 LOS 的独立变量。具体来说，MLR 模型的 R 值等于 0.537，最佳分类算法决策树的准确率大于 83%。总之，MLR 模型和分类算法都产生了重要的结果，可以为管理这种医疗保健流程提供重要支持。
