结直肠腺瘤相关危险因素分析及预测模型构建

虞晨燕, 朱锦舟, 刘晓琳, 等. 结直肠腺瘤相关危险因素分析及预测模型构建[J]. 中国中西医结合消化杂志, 2021, 29(7): 507-511. doi: 10.3969/j.issn.1671-038X.2021.07.13
引用本文: 虞晨燕, 朱锦舟, 刘晓琳, 等. 结直肠腺瘤相关危险因素分析及预测模型构建[J]. 中国中西医结合消化杂志, 2021, 29(7): 507-511. doi: 10.3969/j.issn.1671-038X.2021.07.13
YU Chenyan, ZHU Jinzhou, LIU Xiaolin, et al. Analysis of risk factors associated with colorectal adenoma and construction of prediction model[J]. Chin J Integr Tradit West Med Dig, 2021, 29(7): 507-511. doi: 10.3969/j.issn.1671-038X.2021.07.13
Citation: YU Chenyan, ZHU Jinzhou, LIU Xiaolin, et al. Analysis of risk factors associated with colorectal adenoma and construction of prediction model[J]. Chin J Integr Tradit West Med Dig, 2021, 29(7): 507-511. doi: 10.3969/j.issn.1671-038X.2021.07.13

结直肠腺瘤相关危险因素分析及预测模型构建

详细信息
    通讯作者: 吴爱荣,E-mail:arwu@suda.edu.cn
  • 中图分类号: R735.3

Analysis of risk factors associated with colorectal adenoma and construction of prediction model

More Information
  • 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。
  • 加载中
  • [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.

  • 加载中
计量
  • 文章访问数:  383
  • PDF下载数:  331
  • 施引文献:  0
出版历程
收稿日期:  2021-02-19

目录