Department of Gastroenterological Surgery, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan.
Langenbecks Arch Surg. 2023 Mar 1;408(1):113. doi: 10.1007/s00423-023-02851-2.
The Naples prognostic score (NPS) is a prognostic index based on the nutritional and inflammatory status. However, its utility in predicting postoperative complications (POCs) has not been examined in rectal cancer (RC). We evaluated the predictive value of the preoperative NPS for POCs in RC.
We retrospectively analyzed 235 patients who underwent surgery for RC. The NPS was calculated based on serum albumin, serum total cholesterol, the neutrophil-to-lymphocyte ratio (NLR) and the lymphocyte-to-monocyte ratio (LMR). Severe POCs were defined as Clavien-Dindo classification grade ≥ III. The optimal cut-off value of the NPS was determined by a receiver operator characteristic (ROC) curve analysis. The NPS, NLR, LMR, platelet-to-lymphocyte ratio (PLR), C-reactive protein (CRP)-to-albumin ratio (CAR), Glasgow prognostic score (GPS), Onodera prognostic nutritional index (PNI) and controlling nutritional status score (CONUT) were investigated as inflammation-based and/or nutritional markers. Predictors of severe POCs were analyzed by logistic regression modeling.
Severe POCs were observed in 64 patients (27.2%). Male sex, operation time (> 257 min), blood loss (≥ 30 mL), albumin (< 4.0 g/dL), CRP (≥ 1.0 mg/dL), total cholesterol (≤ 180 mg/dL), NPS (≥ 2), LMR (≥ 3.48), PLR (≥ 103.6), CAR (> 0.025), GPS (≥ 1), PNI (< 48.1) and CONUT (≥ 2) were significantly associated with severe POCs. The multivariate analysis revealed that male sex, operation time (> 257 min), and a high NPS (≥ 2) were independent predictors of severe POCs. The ROC curve analysis revealed that the NPS had the greatest predictive value among the inflammation-based and/or nutritional markers.
The NPS is a valuable predictor of severe POCs in RC.
那不勒斯预后评分(NPS)是一种基于营养和炎症状态的预后指数。然而,它在预测直肠癌(RC)术后并发症(POC)中的应用尚未得到检验。我们评估了术前 NPS 对 RC 患者 POC 的预测价值。
我们回顾性分析了 235 例接受 RC 手术的患者。NPS 基于血清白蛋白、总胆固醇、中性粒细胞与淋巴细胞比值(NLR)和淋巴细胞与单核细胞比值(LMR)计算。严重 POC 定义为 Clavien-Dindo 分级≥III 级。通过受试者工作特征(ROC)曲线分析确定 NPS 的最佳截断值。NPS、NLR、LMR、血小板与淋巴细胞比值(PLR)、C 反应蛋白与白蛋白比值(CAR)、格拉斯哥预后评分(GPS)、小野预后营养指数(PNI)和控制营养状态评分(CONUT)作为炎症和/或营养标志物进行研究。通过 logistic 回归模型分析严重 POC 的预测因素。
64 例患者(27.2%)发生严重 POC。男性、手术时间(>257 分钟)、出血量(≥30 毫升)、白蛋白(<4.0g/dL)、C 反应蛋白(≥1.0mg/dL)、总胆固醇(≤180mg/dL)、NPS(≥2)、LMR(≥3.48)、PLR(≥103.6)、CAR(>0.025)、GPS(≥1)、PNI(<48.1)和 CONUT(≥2)与严重 POC 显著相关。多变量分析显示,男性、手术时间(>257 分钟)和高 NPS(≥2)是严重 POC 的独立预测因素。ROC 曲线分析显示,NPS 在炎症和/或营养标志物中具有最大的预测价值。
NPS 是 RC 严重 POC 的有价值的预测指标。