首页> 外文期刊>The British Journal of Nutrition >Controlling Nutritional Status score is superior to Prognostic Nutritional Index score in predicting survival and complications in pancreatic ductal adenocarcinoma: a Chinese propensity score matching study
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Controlling Nutritional Status score is superior to Prognostic Nutritional Index score in predicting survival and complications in pancreatic ductal adenocarcinoma: a Chinese propensity score matching study

机译:控制营养状况得分优于预测胰腺导管腺癌中存活和并发症的预后营养指数评分:中国倾向评分匹配研究

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摘要

Preoperative nutritional status plays an important role in predicting postoperative outcomes. Prognostic Nutritional Index (PNI) and Controlling Nutritional Status (CONUT) are good tools to assess patients' nutritional status. They have been used in predicting outcomes in various malignancies, but few studies have focused on pancreatic adenocarcinoma (PDAC) patients. Totally, 306 PDAC patients were enrolled. The propensity score matching (PSM) method was introduced to eliminate the baseline inequivalence. Patients with different PNI (or CONUT) scores showed inequivalence baseline characteristics, and patients with compromised nutritional status were related with a more advanced tumour stage. After PSM, the baseline characteristics were well balanced. Both low PNI (<= 45) and high CONUT (>= 3) were independent risk factors for poor overall survival (P < 0 center dot 05), and the result remained the same after PSM. Survival analysis demonstrated both patients with low PNI and high CONUT score were associated with poorer survival, and the result remained the same after PSM. The results of AUC indicated that CONUT might have a higher sensitivity and specificity in predicting complications and survival. Preoperative low PNI (<= 45) and high CONUT (>= 3) scores might be reliable predictors of prognosis and surgical complications in PDAC patients. Compared with PNI, CONUT might be more effective.
机译:术前营养状况在预测术后结果中起着重要作用。预后营养指数(PNI)和控制营养状况(CONUT)是评估患者营养状况的良好工具。它们已被用于预测各种恶性肿瘤的预后,但很少有研究关注胰腺癌(PDAC)患者。共有306名PDAC患者入选。引入倾向评分匹配(PSM)方法来消除基线不等效性。PNI(或CONUT)评分不同的患者表现出基线特征不一致,营养状况不佳的患者与更晚期的肿瘤相关。PSM后,基线特征很好地平衡。低PNI(<=45)和高CONUT(>=3)都是总生存率低的独立危险因素(P<0.05),PSM后结果保持不变。生存分析表明,PNI低和CONUT评分高的患者均与较差的生存率相关,PSM后的结果保持不变。AUC结果表明,CONUT在预测并发症和生存率方面可能具有更高的敏感性和特异性。术前低PNI(<=45)和高CONUT(>=3)评分可能是预测PDAC患者预后和手术并发症的可靠指标。与PNI相比,CONUT可能更有效。

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