机构地区:[1]重庆市第九人民医院预防保健科,400700 [2]重庆市第九人民医院普通外二科,400700
出 处:《中华胃肠外科杂志》2016年第5期575-579,共5页Chinese Journal of Gastrointestinal Surgery
基 金:重庆市卫生计生委医学科研计划项目(20142176)
摘 要:目的探讨小野寺预后营养指数(OPNI)在胃肠择期手术患者营养风险预测评估中的临床应用价值。方法前瞻性纳入2014年7月至2015年6月间重庆市第九人民医院连续收治的200例胃肠道择期手术患者,进行术前欧洲营养风险筛查2002(NRS2002)及OPNI筛查.以NRS2002筛查结果为诊断营养风险的金标准(评分≥3分者即被判断为存在营养风险。提示需要进行营养干预,评分〈3分判断为无营养风险),由血清白蛋白(Alb)和外周血淋巴细胞总数(TLC)来计算OPNI[OPNI=Alb(109/L)+5×TLC(109/L)];绘制OPNI受试者工作特征曲线(ROC),分析在不同切点的灵敏度、特异度、阳性预测值、阴性预测值、约登指数以及曲线下面积,以确定OPNI对营养风险预测评估的最佳截点;并根据该截点将病例分为两组,比较两组患者的营养相关指标。采用Kappa检验比较不同的OPNI切点与NRS2002营养风险诊断的一致性。结果NRS2002评分≥3分者103例(营养风险组),NRS2002评分〈3分者97例(无营养风险组),全组OPNI评分(45.4±7.4)分。绘制ROC曲线显示,ROC曲线下面积为0.914(95%C1:0.873~0.954),约登指数最大为0.71I,最佳截点(临界值)为45.8;其预测营养风险的灵敏度为85.4%,特异度为85.6%,阳性及阴性预测值分别为85.3%和83.7%;以此最佳截点为临界值将患者分为OPNI≥45.8组(102例)和OPNI〈45.8组(98例),相比之下前组患者的年龄更大[(66.5±12.1)岁比(57.0±15.3)岁,t=-4.905,P=0.000],体质指数较低[(20.4±3.0)kg/m2比(21.7±3.0)kg/m2,t=3.069,P=0.002],Alb[(34.7±4.7)109/L比(43.6±3.4)10^9/L,t=15.542,P=0.000]和TLC[(1.0±0.5)10^9/L比(1.6±0.7)10^9/L,t=7.254。P=0.ooo]均明显偏低。Kappa检验显示,OPNI以45.8为临界值时,OPNI与NObjective To evaluate the clinical effectiveness of Onodera prognostic nutrition index (OPNI) in the predictive value of nutrition risk. Methods In a prospective cohort study from July 2014 to June 2015 in the Department of General Surgery of the Ninth People's Hospital of Chongqing, NRS2002 and OPNI were conducted in 200 patients undergoing gastrointestinal elective operation. OPNI was calculated with serum albumin (Alb) and peripheral lymphocyte (TLC) [OPNI= Alb(10a/L) + 5 × TLC(10^9/L)]. By using the results of NRS2002 as the golden standard for diagnosis of nutrition risk (A NRS2002 score≥3 was deemed as nutritional risk and a nutritional care plan should be initiated. A NRS2002 score 〈 3 was deemed as no nutritional risk), the effectiveness of OPNI was evaluated by the receiver operator characteristic (ROC) curve. The sensitivity, specificity, positive and negative predictive values, Youden indexes and area under ROC curve (AUC) of different diagnostic cut-off points of OPNI were analyzed to determine the optimal operating point (OOP). Kappa test was used to estimate the consistency of different cut-off points for OPNI with NRS2002 in defining nutrition risk. Results A total of 103 patients were of NRS2002 ≥ 3 group, and 97 of NRS2002 〈 3 group. The overall OPNI was 45.4 ± 7.4. When OOP was 45.8, the AUC of OPN! was 0.914 (95% CI: 0.873 to 0.954); the sensitivity, specificity, Youden indexes were 85.4%, 85.6%, 0.711; the positive predictive value and negative predictive value were 85.3% and 83.7%, respectively. According to this OOP, the subjects were divided into the 0PNI≥45.8 group (n= 102)and OPNI 〈 45.8 group (n = 98). Compared with 0PNI≥45.8 group, OPNI〈 45.8 group were older [ (66.5 ±12.1)years vs. (57.0± 15.3) years, t =-4.905, P=0.000], and had lower BMI [(20.4 ±3.0) kg/m2vs. (21.7 ± 3.0) kg/m2, t = 3.069, P = 0.002 ], lower albumin [ (34.7 ± 4.7) 109/L vs.(43.6±3.4) 109/L, t = 15.542, P= 0.000] and
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