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基于血清学标志物构建预测模型在结直肠癌诊断中的价值

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目的:探讨基于血清学标志物构建预测模型在结直肠癌诊断中的应用价值。方法:回顾性分析2022年1月至2023年5月在我院行肠镜下活检的132例疑似结直肠癌患者临床资料,以病理检查结果为参考标准分为结直肠癌组78例和非结直肠癌组54例,记录并比较2组患者的临床资料、血常规指标、常规血清生化指标和血清学标志物水平。将组间有差异的指标纳入二元Logistic回归分析并建立预测模型,采用受试者工作特征曲线(ROC)比较单一指标和联合预测模型的诊断效能。结果:2组患者年龄、性别等临床资料,血常规指标和常规血清生化指标比较差异无统计学意义(P>0。05);结直肠癌组患者血清糖类抗原125(CA125)、糖类抗原199(CA199)、癌胚抗原(CEA)、甲胎蛋白(AFP)水平均高于非结直肠癌组(P<0。05)。多因素 Logistic 回归分析显示,AFP[OR(95%CI):2。140(1。422~3。332),P<0。001]、CEA[0R(95%CI):1。926(1。289~2。637),P<0。001]、CA125[OR(95%CI):1。688(1。147~2。023),P<0。001]、CA199[OR(95%CI):1。854(1。232~2。408),P<0。001]均为结直肠癌发生的独立影响因素。ROC曲线结果显示,AFP、CEA、CA125、CA199构建的预测模型诊断结直肠癌的AUC为0。910,特异度为96。3%,准确度为84。7%。结论:基于血清学标志物AFP、CEA、CA125、CA199构建的预测模型对结直肠癌具有较高的诊断价值,推荐临床应用。
Value of Constructing Prediction Model Based on Serological Markers in Diagnosis of Colorectal Cancer
Objective To explore the application value of prediction model based on serological markers in the diagnosis of colorectal cancer.Methods The clinical data of total 132 patients with suspected colo-rectal cancer who underwent colonoscopic biopsy in our hospital from January 2022 to May 2023 were ret-rospectively analyzed,and were divided into 78 patients in the colorectal cancer group and 54 patients in the non-colorectal cancer group according to the pathological examination results as the reference standard.The clinical data,blood routine indexes,serum biochemical indexes and serological markers of the two groups were recorded and compared.The indexes with differences between the two groups were included in the bi-nary logistic regression analysis and the prediction model was established.The receiver operating character-istic curve(ROC)was used to compare the diagnostic efficiency of the single index and the combined pre-diction model.Results There was no significant difference in clinical data such as age,gender,blood rou-tine index and serum biochemical index between the two groups(P>0.05).Serum levels of carbohydrate antigen 125(CA125),carbohydrate antigen 199(C A199),carcinoembryonic antigen(CEA)and alpha-fe-toprotein(AFP)in the colorectal cancer group were higher than those in the non-colorectal cancer group(P<0.05).Multivariate Logistic regression analysis showed that AFP[OR(95%CI):2.140(1.422~3.332),P<0.001],CEA[OR(95%CI):1.926(1.289~2.637),P<0.001],CA125[OR(95%CI):1.688(1.147~2.023),P<0.001]and CA199[OR(95%CI):1.854(1.232~2.408),P<0.001]were independent factors for the occurrence of colorectal cancer.ROC curve results showed that the AUC of the prediction model constructed by AFP,CEA,CA125 and CA199 for the diagnosis of colorectal cancer was 0.910,the specificity was 96.3%,and the accuracy was 84.7%.Conclusion The prediction model based on serological markers of AFP,CEA,CA125 and CA199 has high diagnostic value for colorectal cancer and is recommended for clinical application.

Colorectal cancerSerological markersPrediction modelDiagnosis

张笑涵、钱盈、陈田田

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南阳市中心医院医学检验科(河南南阳 473000)

结直肠癌 血清学标志物 预测模型 诊断

2024

中国肛肠病杂志
中华中医药学会肛肠分会 山东中医药学会

中国肛肠病杂志

影响因子:0.131
ISSN:1000-1174
年,卷(期):2024.44(7)