文章摘要
术前控制营养状态评分联合C-反应蛋白预测衰弱患者术后入ICU的价值
Predictive value of preoperative controlling nutritional status score combined with C-reactive protein for postoperative ICU admission in frail surgical patients
  
DOI:10.12089/jca.2025.09.009
中文关键词: 衰弱  控制营养状态评分  C-反应蛋白  术后入ICU  外科手术
英文关键词: Frailty  Controlling nutritional status score  C-reactive protein  Postoperative intensive care unit admission  Surgical operation
基金项目:国家卫生健康委科学技术研究所项目(2021KYSHX016010201);广州中医药大学2025年度"固本"工程一级学科能力提升项目(GZY2025GB0901)
作者单位E-mail
江芷霞 510006,广州中医药大学第二临床医学院中医证候全国重点实验室  
梁好 广州中医药大学第二附属医院护理部  
路世龙 510006,广州中医药大学第二临床医学院中医证候全国重点实验室  
陈蕊 广州中医药大学第二附属医院脑血管病科  
方嘉敏 510006,广州中医药大学第二临床医学院中医证候全国重点实验室  
汪志玲 湖南中医药大学护理学院  
廖惠莲 广州中医药大学顺德医院护理部  
徐明明 广州中医药大学第四临床医学院护理部  
陈玉梅 佛山市中医院服务扩展部  
李燕芬 惠州市中医医院护理部  
董丽娟 中山市中医院护理部  
郭银桂 广州中医药大学东莞医院护理部  
王宁 国家卫生健康委科学技术研究所基层健康质量中心  
魏琳 广州中医药大学第二附属医院护理部 weilin22@gzucm.edu.cn 
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中文摘要:
      
目的:探讨术前控制营养状态(CONUT)评分联合C-反应蛋白(CRP)预测外科手术衰弱患者术后入ICU的临床价值。
方法:纳入共7家医院行外科手术的衰弱患者344例,男127例,女217例,年龄60~85岁,BMI 13.0~36.6 kg/m2,ASAⅠ—Ⅲ级。根据术后是否入ICU将患者分为两组:ICU组和非ICU组。收集术前3 d内血清白蛋白(ALB)浓度、外周血淋巴细胞计数(LYM)、总胆固醇(TC)浓度和CRP浓度并计算CONUT评分。采用单因素分析比较CONUT评分、CRP浓度及手术相关资料。采用多因素Logistic回归分析CONUT二分类评分及CRP浓度与术后入ICU之间的相关性。绘制受试者工作特征(ROC)曲线,并通过ROC曲线下面积(AUC)评价术前CONUT评分、术前CRP及联合检测预测衰弱患者术后入ICU的价值。通过Bootstrap方法对模型进行内部验证。
结果:共21例(6.1%)患者术后入ICU。单因素分析显示,ICU组年龄明显大于非ICU组(P<0.05)。与非ICU组比较,ICU组1周内久坐行为明显增多,年龄校正查尔森合并症指数(ACCI)评分明显升高,全麻手术占比明显增大,术中输血量明显增多,CRP浓度明显升高,高CONUT评分占比明显增大(P<0.05),日常生活能力(ADL)评分及LYM计数明显降低(P<0.05)。多因素Logistic回归分析显示,高CONUT评分(OR=5.091,95%CI 1.010~25.657,P=0.049)和术前CRP浓度升高(OR=1.014,95%CI 1.003~1.025,P=0.015)为衰弱患者术后入ICU的独立危险因素。术前CONUT评分、术前CRP浓度及联合检测预测衰弱患者发生术后入ICU的AUC分别为0.680(95%CI 0.585~0.775)、0.689(95%CI 0.559~0.818)和0.751(95%CI 0.666~0.835)。两个联合指标的预测效能在Bootstrap内部验证模型中输出的AUC为0.747,敏感性为71.4%,特异性为73.7%。
结论:CONUT评分联合CRP能有效预测衰弱患者术后是否入ICU。
英文摘要:
      
Objective: To investigate the predictive value of the preoperative controlling nutritional status (CONUT) score combined with C-reactive protein (CRP) for postoperative intensive care unit (ICU) admission in frail patients scheduled for surgery.
Methods: A total of 344 frail patients scheduled for surgery were enrolled from seven hospitals, 127 males and 217 females, aged 60-85 years, BMI 13.0-36.6 kg/m2, ASA physical status Ⅰ-Ⅲ. Patients were divided into two groups based on postoperative ICU admission: the ICU group and the non-ICU group. Preoperative serum albumin (ALB) concentration, peripheral blood lymphocyte count (LYM), total cholesterol(TC) concentration, and CRP concentration were collected within 3 days before surgery, and the CONUT score was calculated. Univariate analysis was used to compare CONUT score, CRP concentration, and surgical characteristics. Multivariate Logistic regression analysis was employed to assess the association between the binary CONUT score, CRP concentration, and postoperative ICU admission. The receiver operating characteristic (ROC) curve was drawn, and the area under the ROC curve (AUC) was used to evaluate the predictive value of preoperative CONUT score, preoperative CRP, and combined detection for postoperative ICU admission in frail patients. The model was internally validated using the Bootstrap method.
Results: Postoperative ICU admission occurred in twenty-one patients (6.1%). The univariate analysis showed that the ICU group had significantly older age than the non-ICU group (P < 0.05). Compared with the non-ICU group, the ICU group showed greater sedentary behavior within one week, higher age-adjusted Charlson comorbidity index (ACCI) scores, a higher proportion of patients undergoing general anesthesia, greater intraoperative blood transfusion volume, higher CRP concentration, and a larger proportion of patients with high CONUT score ( P < 0.05). Compared with group NI, group Ⅰ demonstrated significantly lower activities of daily living (ADL) scores and LYM (P < 0.05). The multivariable logistic regression further showed that elevated CONUT score (OR = 5.091, 95% CI 1.010-25.657, P = 0.049) and elevated preoperative CRP concentration (OR = 1.014, 95% CI 1.003-1.025, P = 0.015) were identified as independent risk factors for postoperative ICU admission in frail patients. The AUC of preoperative CONUT score, preoperative CRP concentration, and combined detection to predict postoperative ICU admission in frail patients were 0.680 (95% CI 0.585-0.775), 0.689 (95% CI 0.559-0.818), and 0.751 (95% CI 0.666-0.835), respectively. The two combined predictors showed good performance, with an AUC of 0.747, and sensitivity was 71.4%, and specificity was 73.7% in the Bootstrap validation.
Conclusion: The combination of the preoperative CONUT score and CRP concentration can effectively predict postoperative ICU admission in frail surgical patients. This readily available assessment tool is suitable for clinical implementation.
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