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护理学报 ›› 2022, Vol. 29 ›› Issue (1): 35-40.doi: 10.16460/j.issn1008-9969.2022.01.035

• 循证护理 • 上一篇    下一篇

患者结肠镜检查前肠道准备失败风险预测模型的系统评价

郭盛丽1, 袁薇1, 朱婷1, 林威娜1, 陈晓容2, 夏美燕1   

  1. 1.昆明医科大学第二附属医院 消化内镜室,云南 昆明 650101;
    2.四川省医学科学院/四川省人民医院 消化内科,四川 成都610072
  • 收稿日期:2021-08-17 出版日期:2022-01-10 发布日期:2022-02-14
  • 通讯作者: 袁薇(1971-),女,云南昆明人,本科学历,主任护师,硕士研究生导师。E-mail:404563429@qq.com
  • 作者简介:郭盛丽(1992-),女,云南临沧人,本科学历,硕士研究生在读,护师。
  • 基金资助:
    四川省干部保健科研课题(川干研2021-234)

Risk Prediction Model for Inadequate Bowel Preparation before Colonoscopy: A Systematic Review

GUO Sheng-li1, YUAN Wei1, ZHU Ting1, LIN Wei-na1, CHEN Xiao-rong2, XIA Mei-yan1   

  1. 1. Dept. of Gastrointestinal Endoscopy, the Second Affiliated Hospital of Kunming Medical University,Kunming 650101, China;
    2. Dept. of Gastroenterology,Sichuan Academy of Medical Sciences, Sichuan Provincial People's Hospital, Chengdu 610072, China
  • Received:2021-08-17 Online:2022-01-10 Published:2022-02-14

摘要: 目的 系统地评价患者结肠镜检查前肠道准备失败的风险预测模型。方法 计算机检索中国知网(CNKI)、中国生物医学文献数据库(SinoMed)、万方数据知识服务平台、维普中文科技期刊数据库(VIP)、PubMed MeDILINE、Cochrane Library、Embase、CINAHL、Web of Science数据库,检索出符合本研究的文献,由2名研究者独立提取信息,并使用PROBAST工具进行质量评价。结果 共纳入8篇研究,其中6篇为前瞻性队列研究,2篇为回顾性病例对照研究。3篇研究开展了内部验证,1篇研究开展了外部验证。8篇研究的ROC曲线下面积为0.63~0.87,预测性能良好,但仍存在偏倚风险,主要是在数据分析部分未报告缺失数据的处理方法以及数据复杂性,部分研究筛选预测因子的方法不恰当,并且未对模型进行内外部验证。Meta分析结果显示,慢性便秘[OR=2.51,95%CI(2.15,2.92),Z=11.81,P<0.001]、糖尿病[OR=2.14,95%CI(1.79,2.56),Z=8.26,P<0.05]、服用抗抑郁药物[OR=5.46, 95%CI(3.48,8.58),Z=7.37,P<0.001]是患者结肠镜检查前肠道准备失败的独立危险因素。结论 肠道准备失败预测模型还处于发展阶段,各项模型均存在一定的偏倚风险,未来可开展模型的验证研究或开发本土化预测模型,并将其运用于临床,检验其有效性。医护人员应重点关注慢性便秘、糖尿病、服用抗抑郁药物患者的肠道准备情况,提前给予干预策略。

关键词: 结肠镜检查, 肠道准备失败, 风险预测模型, 系统评价

Abstract: Objective To systematically evaluate the risk prediction model of patients with bowel preparation failure before colonoscopy. Methods We searched databases including CNKI, SinoMed, Wan fang Databases, VIP, PubMed, MeDLINE, Cochrane Library, Embase, CINAHL, and Web of Science databases for literature that met the criteria. Two researchers independently extracted the information, and used the PROBAST tool for quality evaluation. Results Eight studies were included, 6 of which were prospective cohort studies and 2 retrospective case-control studies. Three studies carried out internal verification and one study external verification. The area under the ROC curve of the eight studies was 0.63~0.87. The prediction performance was good, but there was still a risk of bias. The main reason was that processing method of missing data and the complexity of the data are not reported in the data analysis part. The method of screening predictors in some studies was not appropriate. And the model had not been verified internally and externally. Meta-analysis showed that chronic constipation [OR=2.51, 95%CI(2.15, 2.92), Z=11.81, P<0.001], diabetes [OR=2.14, 95%CI(1.79, 2.56), Z=8.26, P<0.05], antidepressant use [OR=5.46, 95%CI(3.48, 8.58), Z=7.37, P<0.001]. All of them were independent risk factors for inadequate bowel preparation before colonoscopy. Conclusion Bowel preparation failure prediction model is still in the development stage, and each model has a certain risk of bias. In the future, model verification studies or the development of localized prediction models can be carried out, and they can be used in clinical practice to test their effectiveness. Medical staff should focus on the patients with chronic constipation, diabetes or those taking antidepressant medication, and give intervention strategies in advance.

Key words: colonoscopy, inadequate bowel preparation, risk prediction model, systematic review

中图分类号: 

  • R472.9
[1] 林俏,张广清,刘梅娟,等. 成人结肠镜检查前肠道准备的最佳证据总结[J]. 护理学报, 2020, 27(16):28-34.DOI:10.16460/j.issn1008-9969.2020.16.028.
[2] 李萍,靳小雯,李燕玲,等. 成年患者结直肠镜检查肠道准备不充分的预防及管理证据总结[J]. 护理学报, 2021, 28(9):22-28.DOI:10.16460/j.issn1008-9969.2021.09.022.
[3] 杨少鹏,李志婷,徐力东,等. 影响肠道准备质量的患者相关因素[J]. 中国老年学杂志, 2018, 38(22):5469-5471.DOI:10.3969/j.issn.1005-9202.2018.22.038.
[4] 徐梦辉, 赵滨, 马俊骥, 等. 门诊结肠镜检查患者的肠道准备现状及其影响因素研究[J]. 中华护理杂志, 2017, 52(12):1473-1477.DOI:10.3761/j.issn.0254-1769.2017.12.013.
[5] 张媛媛, 钮美娥, 汪茜雅, 等. 结肠镜检查前肠道准备效果的现况调查及影响因素分析[J].中国实用护理杂志, 2017, 33(14):1085-1088.DOI:10.1007/s10620-016-4343-7.
[6] Cheng CL, Liu NJ, Tang JH, et al.Predictors of Suboptimal Bowel Preparation Using 3-l of Polyethylene Glycol for an Outpatient Colonoscopy: A Prospective Observational Study[J]. Dig Dis Sci, 2017,62(2):345-351.DOI:10.1007/s10620-016-4343-7.
[7] 孙畅, 何文英, 王策, 等. 住院患者结肠镜诊治肠道准备质量的影响因素研究[J]. 中国全科医学, 2019,22(32):3932-3938.DOI:10.12114/j.issn.1007-9572.2019.00.206.
[8] 徐绍莲, 唐瑭, 陈静, 等. 结肠镜检查患者肠道清洁效果的现况调查和影响因素分析[J].中国实用护理杂志, 2019, 35(29):2256-2262.DOI:10.3760/cma.j.issn.1672-7088.2019.29.004.
[9] 张媛媛, 钮美娥. 结肠镜检查患者肠道准备不充分危险因素的研究进展[J]. 现代临床护理, 2020, 19(6):67-72.DOI:10.3969/j.issn.1671-8283.2020.06.012.
[10] Poola S, Jampala N, Tumin D, et al.Factors Influencing Inpatient Colonoscopy Bowel Preparation Quality[J]. Minerva Gastroenterol Dietol,2020,66(3):194-200.DOI:10.23736/S1121-421X.20.02657-4.
[11] Maida MF, Sinagra E, Morreale G, et al.Factors Affecting the Quality of Bowel Preparation for Colonoscopy in the Elderly: A Retrospective Analysis of a Prospective Cohort[J]. United European Gastroenterology Journal, 2019, 7(8 Supplement):830.DOI:10.1016/S1590-8658(20)30808-2 .
[12] Moons KGM, Wolff RF, Riley RD, et al.PROBAST: A Tool to Assess Risk of Bias and Applicability of Prediction Model Studies: Explanation and Elaboration[J]. Ann Intern Med, 2019, 170(1): w1-w33.DOI: 10.7326/M18-1377.
[13] 陈香萍, 张奕, 庄一渝, 等. PROBAST:诊断或预后多因素预测模型研究偏倚风险的评估工具[J]. 中国循证医学杂志,2020,20(6):737-744.DOI:10.7507/1672-2531.201910087.
[14] Hassan C, Fuccio L, Bruno M, et al.A Predictive Model Identifies Patients Most Likely to Have Inadequate Bowel Preparation for Colonoscopy[J]. Clin Gastroenterol Hepatol, 2012, 10(5): 501-506.DOI: 10.1016/j.cgh.2011.12.037.
[15] Dik VK, Moons LM, Hüyük M, et al.Predicting Inadequate Bowel Preparation for Colonoscopy in Participants Receiving Split-dose Bowel Preparation: Development and Validation of a Prediction Score[J].Gastrointest Endosc, 2015, 81(3):665-672.DOI:10.1016/j.gie.2014.09.066.
[16] Gimeno-García AZ, Baute JL, Hernandez G, et al.Risk Factors for Inadequate Bowel Preparation: a Validated Predictive Score[J]. Endoscopy, 2017, 49(6):536-543.DOI: 10.1055/s-0043-101683.
[17] 李月月. 基于Bristol大便性状的个体化肠道准备及肠道准备失败预测模型建立的研究[D].济南:山东大学,2017.
[18] Kutyla MJ, O'Connor S, Hourigan LF, et al. An Evidence-based Approach Towards Targeted Patient Education to Improve Bowel Preparation for Colonoscopy[J]. Journal of Clinical Gastroenterology,2020,54(8):707-713.DOI:10.1097/MCG.0000000000001286.
[19] 李健民, 刘添文, 符思远, 等. 基于最优子集法建立肠道准备预测模型的研究[J]. 中国实用内科杂志, 2020, 40(3):231-236.DOI:10.19538/j.nk2020030111.
[20] 陈志坚. 结肠镜检查前肠道准备质量的影响因素分析及预测模型的建立[D].蚌埠:蚌埠医学院, 2020.
[21] Fuccio L, Frazzoni L, Spada C, et al. Factors That Affect Adequacy of Colon Cleansing for Colonoscopy in Hospitalized Patients[J]. Clin Gastroenterol Hepatol, 2021, 19(2): 339-348.e337.DOI:10.1016/j.cgh.2020.02.055.
[22] Hassan C, Fuccio L, Bruno M, et al.A Predictive Model Identifies Patients Most Likely to Have Inadequate Bowel Preparation for Colonoscopy[J]. Clinical Gastroenterology and Hepatology, 2012, 10(5):501-506.DOI:10.1016/j.cgh.2011.12.037.
[23] Vittinghoff E, McCulloch CE. Relaxing The Rule of Ten Events Per Variable in Logistic and Cox Regression[J]. Am J Epidemiol, 2007, 165(6):710-718.DOI:10.1093/aje/kwk052.
[24] Ogundimu EO, Altman DG, Collins GS.Adequate Sample Size for Developing Prediction Models Is Not Simply Related to Events Per Variable[J].J Clin Epidemiol, 2016, 76:175-182.DOI:10.1016/j.jclinepi.2016.02.031.
[25] Guo X, Shi X, Kang X, et al.Risk Factors Associated with Inadequate Bowel Preparation in Patients with Functional Constipation[J]. Dig Dis Sci, 2020, 65(4):1082-1091.DOI: 10.1007/s10620-019-05847-5.
[26] Fang J, Fu H Y, Ma D, et al.Constipation, Fiber Intake and Non-compliance Contribute to Inadequate Colonoscopy Bowel Preparation: A Prospective Cohort Study[J]. J Dig Dis, 2016,17(7):458-463.DOI:10.1111/1751-2980.12376.
[27] Zhai C, Huang Q, Chai N, et al.Prediction of Inadequate Bowel Preparation Using Total and Segmental Colon Transit Time in Patients with Chronic Constipation: Some Different Outcomes[J]. Gastroenterol Res Pract, 2019:2328054.DOI:10.1155/2019/2328054.
[28] 宋杰, 曲桂玉, 林云英, 等. 老年人结肠镜检查肠道准备不良影响因素的Meta分析[J]. 中国老年学杂志, 2020, 40(3):548-552.DOI:10.3969/j.issn.1005-9202.2020.03.031.
[29] 胡露,何荣攀,周梦娇,等.特殊人群结肠镜检查前肠道准备方案研究进展[J]. 护理研究, 2020, 34(5):853-857.DOI:10.12102/j.issn.1009-6493.2020.05.025.
[30] Mahmood S, Farooqui SM, Madhoun MF.Predictors of Inadequate Bowel Preparation for Colonoscopy: A Systematic Review and Meta-analysis[J].Eur J Gastroenterol Hepatol,2018,30(8):819-826.DOI:10.1097/MEG.0000000000001175.
[31] Gandhi K, Tofani C, Sokach C, et al. Patient Characteristics Associated with Quality of Colonoscopy Preparation: A Systematic Review and Meta-analysis[J]. Clin Gastroenterol Hepatol, 2018,16(3):357-369.e310.DOI:10.1016/j.cgh.2017.08.016.
[32] 谢晓冉,徐蓉.糖尿病足发病风险预测模型的系统评价[J]. 中华护理杂志, 2021, 56(1):124-131.DOI:10.3761/j.issn.0254-1769.2021.01.021.
[33] 崔乃玲, 李文文, 张默涵, 等. 基于肠道准备失败预测模型对肠道准备质量的研究[J]. 潍坊医学院学报, 2020, 42(4):297-299.DOI:10.16846/j.issn.1004-3101.2020.04.019.
[34] 鉴海旭. 基于肠道准备失败风险预测模型的个体化方案结肠镜检查前肠道准备中的有效性:一项随机对照试验[D].济南:山东大学, 2020.
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