Comparative Analysis of Preoperative Ratio Based Markers in Predicting Postoperative Infectious Complications After Gastrectomy.

IF 0.6 Q4 SURGERY
Selçuk Gülmez, Aziz Senger, Orhan Uzun, Omer Ozduman, Cem Ofluoglu, İsmail Subasi, Bulent Sen, Mahmud Pence, Ugur Duman, Erdal Polat
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Abstract

Aim: Postoperative infections (POIs) are associated with prolonged postoperative recovery, delayed adjuvant therapy, psychological problems, and poor long-term outcomes. The study aims to cross-compare the ratio-based preoperative parameters to predict POIs in patients with D2 gastrectomy for gastric cancer.

Materials and methods: A retrospective cohort and single-center study evaluated the data of 293 patients who underwent curative gastrectomy between January 2007 and November 2019 in a tertiary hospital in Istanbul. A receiver operating characteristic (ROC) curve was used to assess the ability of laboratory values to predict clinically relevant POIs. The predictive capacity of the neutrophil-lymphocyte ratio (NLR), lymphocyte-monocyte ratio (LMR), platelet-lymphocyte ratio (PLR), and CRP-albumin ratio (CAR) was calculated by the area under the curve. Then, the cutoff points were determined for all 4 indexes.

Results: POIs developed in 77 (26.2%) patients. Patients with POI had higher Charlson comorbidity index (CCI) scores and a longer length of hospital stay. ROC curve analysis revealed that NLR, LMR, and CAR were significantly effective in predicting POI, while PLR was ineffective. LMR was the best ability to predict the POI. According to multivariate analysis, CCI score 3, NLR> 3.8, and LMR 2.34 were independent risk factors influencing the POI.

Conclusion: Preoperative LMR was most predictive for POI. Although CAR predicted the development of the POI, it was not superior to LMR and NLR. PLR did not have any prediction for POI. In addition, increased comorbidity (CCI 3) was an independent risk factor for POI.

基于术前比例的指标预测胃切除术后感染并发症的比较分析。
目的:术后感染(POIs)与术后恢复时间延长、辅助治疗延迟、心理问题和远期预后不良有关。本研究旨在交叉比较基于比值的术前参数来预测D2胃癌切除术患者的poi。材料和方法:一项回顾性队列和单中心研究评估了2007年1月至2019年11月在伊斯坦布尔一家三级医院接受治愈性胃切除术的293例患者的数据。采用受试者工作特征(ROC)曲线评估实验室值预测临床相关poi的能力。通过曲线下面积计算中性粒细胞-淋巴细胞比率(NLR)、淋巴细胞-单核细胞比率(LMR)、血小板-淋巴细胞比率(PLR)和crp -白蛋白比率(CAR)的预测能力。然后,确定4个指标的截止点。结果:77例(26.2%)患者发生poi。POI患者的Charlson合并症指数(CCI)评分较高,住院时间较长。ROC曲线分析显示,NLR、LMR和CAR对POI的预测有显著效果,而PLR对POI的预测无效。LMR预测POI的能力最好。根据多变量分析,CCI得分为3分,NLR>3.8、2.34是影响POI的独立危险因素。结论:术前LMR对POI的预测效果最好。CAR虽然预测了POI的发展,但并不优于LMR和NLR。PLR对POI没有任何预测。此外,合并症增加(CCI 3)是POI的独立危险因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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