Analysis of risk factors associated with colorectal adenoma and construction of prediction model
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摘要: 目的:探讨结直肠腺瘤发生的危险因素,建立结直肠腺瘤的预测模型。方法:回顾性分析2014年9月-2019年9月进行肠镜检查的符合入组标准的1339例结直肠腺瘤患者、807例非结直肠腺瘤者的临床资料。比较2组患者性别、年龄、BMI、血常规、生化指标、肿瘤指标的差异,采用Logistic回归分析探究结直肠腺瘤的危险因素,并建立预测模型。结果:单因素分析显示,年龄、总胆固醇、高密度脂蛋白、低密度脂蛋白、红细胞计数、癌胚抗原与结直肠腺瘤的发生相关(均P<0.05)。多因素Logistic回归分析提示,年龄、总胆固醇、高密度脂蛋白、红细胞计数、癌胚抗原与结直肠腺瘤的发生相关(均P<0.05)。基于上述相关变量构建的预测模型ROC曲线下面积为0.680(95%CI 0.656~0.703),对应的灵敏度和特异度分别为45.4%、76.0%。结论:基于年龄、红细胞计数、总胆固醇、高密度脂蛋白、癌胚抗原的模型可预测结直肠腺瘤的发生。Abstract: Objective: To explore the risk factors of colorectal adenoma and establish a prediction model for colorectal adenoma. Methods: The clinical data of 1339 patients with adenoma and 807 healthy controls who underwent colonoscopy in our hospital from September 2014 to September 2019 were retrospectively analyzed. The differences in gender, age, body mass index, blood routine, biochemical and tumor indicators between the two groups were identified. The risk factors of colorectal adenoma were explored by Logistic regression analysis and a prediction model was established. Results: Univariate analysis showed that age, total cholesterol, high density lipoprotein-cholesterol, low density lipoprotein-cholesterol, red blood cell count and carcinoembryonic antigen were associated with the occurrence of colorectal adenoma(P<0.05). Multivariate Logistic regression analysis showed that age, total cholesterol, high-density lipoprotein-cholesterol, red blood cell count and carcinoembryonic antigen were related to the occurrence of colorectal adenoma(P<0.05). The prediction model for colorectal adenoma was established based on above five factors, and its area under the receiver operating characteristic was 0.680(95%CI 0.656-0.703), with the sensitivity of 45.4% and specificity of 76.0%. Conclusion: The model based on age, red blood cell count, total cholesterol, high-density lipoprotein-cholesterol and carcinoembryonic antigen showed a good performance for the prediction of colorectal adenoma.
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[1] Bray F, Ferlay J, Soerjomataram I, et al.Global cancer statistics 2018:GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries[J].CA Cancer J Clin, 2018, 68(6):394-424.
[2] 吴春晓, 顾凯, 龚杨明, 等.2015年中国结直肠癌发病和死亡情况分析[J].中国癌症杂志, 2020, 30(4):241-245.
[3] Arnold M, Sierra MS, Laversanne M, et al.Global patterns and trends in colorectal cancer incidence and mortality[J].Gut, 2017, 66(4):683-691.
[4] Leslie A, Carey FA, Pratt NR, et al.The colorectal adenoma-carcinoma sequence[J].Br J Surg, 2002, 89(7):845-860.
[5] Jin CY, Ho LD, Kyung-Do H, et al.Abdominal obesity, glucose intolerance and decreased high-density lipoprotein cholesterol as components of the metabolic syndrome are associated with the development of colorectal cancer[J].Eur J Epidemiol, 2018, 33(11):1077-1085.
[6] Fliss-Isakov N, Zelber-Sagi S, Webb M, et al.Distinct Metabolic Profiles are Associated with Colorectal Adenomas and Serrated Polyps[J].Obesity, 2017, 23(25):72-80.
[7] Sanjay R, Hee YM, Jidong S, et al.Association between markers of glucose metabolism and risk of colorectal adenoma[J].Gastroenterology, 2014, 147(1):78-87.
[8] Tuomisto AE, Mkinen MJ, Vyrynen JP.Systemic inflammation in colorectal cancer:Underlying factors, effects, and prognostic significance[J].World J Gastroenterol, 2019, 25(31):4383-4404.
[9] Milano A, Bianco MA, Buri L, et al.Metabolic syndrome is a risk factor for colorectal adenoma and cancer:a study in a White population using the harmonized criteria[J].Therap Adv Gastroenterol, 2019, (12):1-14.
[10] Bardou M, Barkun AN, Martel M.Obesity and colorectal cancer[J].Gut, 2013, 62(6):933-947.
[11] Jung KJ, Won D, Jeon C, et al.A colorectal cancer prediction model using traditional and genetic risk scores in Koreans[J].BMC Genet, 2015, 16(49):101-104.
[12] Zhang K, Chen L.A Highly Predictive Model for Diagnosis of Colorectal Neoplasms Using Plasma MicroRNA:Improving Specificity and Sensitivity[J].Ann Surg, 2018, 267(3):e57-e58.
[13] Liu L, Messer K, Baron JA, et al.A prognostic model for advanced colorectal neoplasia recurrence[J].Cancer Causes Control, 2016, 27(10):1175-1185.
[14] Ze EY, Kim BJ, Jun DH, et al.The Fatty Liver Index:A Simple and Accurate Predictor of Colorectal Adenoma in an Average-Risk Population[J].Dis Colon Rectum, 2018, 61(1):36-42.
[15] 郭鹏辉, 吴建华.结直肠息肉与血脂水平的相关性[J].世界华人消化杂志, 2016, 24(29):4120-4124.
[16] Sun ZJ, Huang YH, Wu JS, et al.The association of serum lipids with the histological pattern of rectosigmoid adenoma in Taiwanese adults[J].BMC Gastroenterol, 2011, 11(54):234-237.
[17] Yang MH, Rampal S, Sung J, et al.The association of serum lipids with colorectal adenomas[J].Am J Gastroenterol, 2013, 108(5):833-841.
[18] Van Duijnhoven FJ, Bueno-De-Mesquita HB, Calligaro M, et al.Blood lipid and lipoprotein concentrations and colorectal cancer risk in the European Prospective Investigation into Cancer and Nutrition[J].Gut, 2011, 60(8):1094-1102.
[19] Xie C, Wen P, Su J, et al.Elevated serum triglyceride and low-density lipoprotein cholesterol promotes the formation of colorectal polyps[J].BMC Gastroenterol, 2019, 19(1):195.
[20] Donohoe CL, Doyle SL, Reynolds JV.Visceral adiposity, insulin resistance and cancer risk[J].Diabetol Metab Syndr, 2011, 3(12):17-24.
[21] Uzunlulu M, Telci Caklili O, Oguz A.Association between Metabolic Syndrome and Cancer[J].Ann Nutr Metab, 2016, 68(3):173-179.
[22] Yunusova NV, Kondakova IV, Kolomiets LA, et al. Molecular targets for the therapy of cancer associated with metabolic syndrome (transcription and growth factors)[J]. Asia Pac J Clin Oncol, 2018, 14(3):134-140.
[23] Yang R, Chen Y, Chen X.Value of routine test for identifying colorectal cancer from patients with nonalcoholic fatty liver disease[J].BMC Gastroenterol, 2020, 20(1):180.
[24] Macciò A, Madeddu C, Gramignano G, et al.The role of inflammation, iron, and nutritional status in cancer-related anemia:results of a large, prospective, observational study[J].Haematologica, 2015, 100(1):124-132.
[25] Tong Y, Xie X, Mao X, et al.Low Red Blood Cell Count as an Early Indicator for Myometrial Invasion in Women with Endometrioid Endometrial Carcinoma with Metabolic Syndrome[J].Cancer Manag Res, 2020, 15(12):10849-10859.
[26] Peng F, Hu D, Lin X, et al.The monocyte to red blood cell count ratio is a strong predictor of postoperative survival in colorectal cancer patients:The Fujian prospective investigation of cancer(FIESTA)study[J].J Cancer, 2017, 8(6):967-975.
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