Sui Chao, Lin Chen, Tao Tingting, Huang Yibo, Zhang Haoran, Yu Heng, Tao Liang, Wang Meng, Wang Feng
Department of General Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.
Department of General Surgery, Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine, Nanjing, China.
ANZ J Surg. 2023 Sep;93(9):2125-2131. doi: 10.1111/ans.18573. Epub 2023 Jun 20.
The Controlling Nutritional Status (CONUT) score, regarded as the effective indicator of patient nutrition, has been demonstrated to be related to prognosis of numerous tumours. Nevertheless, the significance of CONUT for gastrointestinal stromal tumour (GIST) remains unclear. This study intended to clarify the association between CONUT and the prognosis of GISTs.
Three hundred and fifty-five patients with GISTs undergoing surgical resection at our center were retrospectively assessed. Receiver operating characteristic curve analysis was used to help determine the cut-off value of CONUT score. Relapse-free survival (RFS) and overall survival (OS) were assessed by Kaplan-Meier curve analysis. Prognostic factors for RFS and OS were examined by Cox proportional hazards models.
A total of 355 patients were enrolled in this study. Areas under the curve (AUC) were 0.638 for CONUT score, and the cut-off value of CONUT was shown to be three. Kaplan-Meier curve analysis showed that high CONUT score was linked to poorer RFS and OS. Univariate and multivariate analyses ultimately revealed that CONUT was a risk factor for RFS and OS, independent of demographics and clinicopathological tumour characteristics.
CONUT score was an effective and novel predictor for prognosis of GIST patients treated with surgery, indicating its potential as a prognostic marker in the overall management.
控制营养状况(CONUT)评分被视为患者营养状况的有效指标,已被证明与多种肿瘤的预后相关。然而,CONUT评分对胃肠道间质瘤(GIST)的意义仍不明确。本研究旨在阐明CONUT评分与GIST预后之间的关联。
对在本中心接受手术切除的355例GIST患者进行回顾性评估。采用受试者工作特征曲线分析来确定CONUT评分的临界值。通过Kaplan-Meier曲线分析评估无复发生存期(RFS)和总生存期(OS)。采用Cox比例风险模型检查RFS和OS的预后因素。
本研究共纳入355例患者。CONUT评分的曲线下面积(AUC)为0.638,CONUT评分的临界值为3。Kaplan-Meier曲线分析表明,高CONUT评分与较差的RFS和OS相关。单因素和多因素分析最终显示,CONUT是RFS和OS的危险因素,独立于人口统计学和临床病理肿瘤特征。
CONUT评分是接受手术治疗的GIST患者预后的有效且新颖的预测指标,表明其在整体管理中作为预后标志物的潜力。