山东大学学报 (医学版) ›› 2020, Vol. 58 ›› Issue (3): 113-117.doi: 10.6040/j.issn.1671-7554.0.2019.1286
李潘1,2,李月月1,2,李延青1,2,3
LI Pan1,2, LI Yueyue1,2, LI Yanqing1,2,3
摘要: 目的 探究应用Dik VK等人建立的肠道准备失败预测模型(Dik VK 预测模型)指导个体化肠道准备是否可以提高肠道准备的质量。 方法 409例接受肠镜检查的患者随机分为个体化组和对照组,个体化组采用Dik VK预测模型对患者的肠道准备失败的风险进行分级并进行个体化肠道准备:高风险患者采取4 L 聚乙二醇电解质散(PEG)的方案进行肠道准备,低风险患者采用常规2 L PEG的方案。在对照组中,所有患者均服用2 L PEG。行结肠镜检查时记录患者肠道准备质量、息肉检出等结果。计量资料采用student-t检验进行分析,计数资料采用Pearson χ2检验进行分析。 结果 7例患者因为个人原因取消结肠镜预约,402例完成结肠镜并纳入ITT分析(个体化组n=202,对照组n=200)。个体化组的患者肠道准备成功率为89.6%,高于对照组的77.5%(P=0.002),差异具有统计学意义。个体化组波士顿肠道准备评分(BBPS)总分高于对照组(7.12±1.43 vs 6.64±1.71,P=0.002),各个结肠段分段的评分也高于对照组(P=0.004, P=0.030, P=0.022)。个体化组中平均每例患者检出的息肉数目高于对照组(0.74±1.23 vs 0.49±0.87,P=0.020),差异具有统计学意义。两组患者在不良反应发生率、满意度评分方面差异无统计学意义。 结论 应用Dik VK预测模型指导个体化肠道准备可以显著提高肠道准备的整体质量。
中图分类号:
| [1] | Sung JJ, Ng SC, Chan FK, et al. An updated Asia Pacific Consensus Recommendations on colorectal cancer screening[J]. Gut, 2015, 64(1): 121-132. |
| [2] | Rex DK, Imperiale TF, Latinovich DR, et al. Impact of bowel preparation on efficiency and cost of colonoscopy[J]. Am J Gastroenterol, 2002, 97(7): 1696-1700. |
| [3] | Chokshi RV, Hovis CE, Hollander T, et al. Prevalence of missed adenomas in patients with inadequate bowel preparation on screening colonoscopy[J]. Gastrointest Endosc, 2012, 75(6): 1197-1203. |
| [4] | Harewood GC, Sharma VK, de Garmo P. Impact of colonoscopy preparation quality on detection of suspected colonic neoplasia[J]. Gastrointest Endosc, 2003, 58(1): 76-79. |
| [5] | Liu X, Luo H, Zhang L, et al. Telephone-based re-education on the day before colonoscopy improves the quality of bowel preparation and the polyp detection rate: a prospective, colonoscopist-blinded, randomised, controlled study[J]. Gut, 2014, 63(1): 125-130. |
| [6] | Froehlich F, Wietlisbach V, Gonvers JJ, et al. Impact of colonic cleansing on quality and diagnostic yield of colonoscopy: the European Panel of Appropriateness of Gastrointestinal Endoscopy European multicenter study[J]. Gastrointest Endosc, 2005, 61(3): 378-384. |
| [7] | Borg BB, Gupta NK, Zuckerman GR, et al. Impact of obesity on bowel preparation for colonoscopy[J]. Clin Gastroenterol Hepatol, 2009, 7(6): 670-675. |
| [8] | Chan WK, Saravanan A, Manikam J, et al. Appointment waiting times and education level influence the quality of bowel preparation in adult patients undergoing colonoscopy[J]. BMC Gastroenterol, 2011, 11: 86. doi: 10.1186/1471-230X-11-86. |
| [9] | Lebwohl B, Wang TC, Neugut AI. Socioeconomic and other predictors of colonoscopy preparation quality[J]. Dig Dis Sci, 2010, 55(7): 2014-2020. |
| [10] | Diez-Rodriguez R, Rascarachi G, Khaliulina T, et al. Factors associated with colon cleansing measured with the Boston scale in routine clinical practice[J]. Gastroenterol Hepatol, 2015, 38(4): 274-279. |
| [11] | 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. |
| [12] | Dik VK, Moons LM, Huyuk 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. |
| [13] | Gimeno-Garcia AZ, Baute JL, Hernandez G, et al. Risk factors for inadequate bowel preparation: a validated predictive score[J]. Endoscopy, 2017, 49(6): 536-543. |
| [14] | Enestvedt BK, Tofani C, Laine LA, et al. 4-Liter split-dose polyethylene glycol is superior to other bowel preparations, based on systematic review and meta-analysis[J]. Clin Gastroenterol Hepatol, 2012, 10(11): 1225-1231. |
| [15] | Martel M, Barkun AN, Menard C, et al. Split-dose preparations are superior to day-before bowel cleansing regimens: a meta-analysis[J]. Gastroenterology, 2015, 149(1): 79-88. |
| [16] | Hookey LC, Vanner SJ. Pico-salax plus two-day bisacodyl is superior to pico-salax alone or oral sodium phosphate for colon cleansing before colonoscopy[J]. Am J Gastroenterol, 2009, 104(3): 703-709. |
| [17] | 中国医师协会内镜医师分会消化内镜专业委员会, 中国抗癌协会肿瘤内镜学专业委员会. 中国消化内镜诊疗相关肠道准备指南(2019,上海)[J]. 中华消化内镜杂志, 2019, 36(7): 457-469. |
| [18] | Lai EJ, Calderwood AH, Doros G, et al. The Boston bowel preparation scale: a valid and reliable instrument for colonoscopy-oriented research[J]. Gastrointest Endosc, 2009, 69(3 Pt 2): 620-625. |
| [19] | Saltzman JR, Cash BD, Pasha SF, et al. Bowel preparation before colonoscopy[J]. Gastrointest Endosc, 2015, 81(4): 781-794. |
| [20] | Kim HG, Jeon SR, Kim MY, et al. How to predict adequate bowel preparation before colonoscopy using conventional polyethylene glycol: prospective observational study based on survey[J]. Dig Endosc, 2015, 27(1): 87-94. |
| [21] | Ness RM, Manam R, Hoen H, et al. Predictors of inadequate bowel preparation for colonoscopy[J]. Am J Gastroenterol, 2001, 96(6): 1797-1802. |
| [22] | Chung YW, Han DS, Park KH, et al. Patient factors predictive of inadequate bowel preparation using polyethylene glycol: a prospective study in Korea[J]. J Clin Gastroenterol, 2009, 43(5): 448-452. |
| [23] | Kazarian ES, Carreira FS, Toribara NW, et al. Colonoscopy completion in a large safety net health care system[J]. Clin Gastroenterol Hepatol, 2008, 6(4): 438-442. |
| [24] | 邹杏坚, 何雪英, 陈晓华. 个体化肠道准备管理对患者结肠镜检查前肠道清洁度的影响[J]. 临床医学工程, 2018, 25(11): 1561-1562. |
| [25] | 张彩霞. 个体化健康教育在结肠镜检查肠道准备中的应用[J]. 首都食品与医药, 2019, 26(10): 160-161. |
| [26] | 陈凯琪, 吴小丽. 老年结肠镜检查患者个体化肠道准备的效果观察[J]. 内科, 2013, 8(3): 341-342. |
| [1] | 王建民,李晓峰,由志涛,董圣杰,赵宇驰,李占菊,邹德鑫,张剑锋,孙涛,杜伟. 基于可解释机器学习的后路腰椎椎体间融合术后慢性疼痛风险预测模型构建[J]. 山东大学学报 (医学版), 2026, 64(2): 78-88. |
| [2] | 孙爽爽,仉率杰,张伯韬,袁莹,于媛媛,薛付忠. 基于真实世界研究的18~50岁人群急性缺血性卒中影响因素[J]. 山东大学学报 (医学版), 2025, 63(9): 40-46. |
| [3] | 申路佳,逯天威,巩伟明,赵岩松,王淑康,袁中尚. 代谢风险评分在2型糖尿病人群心血管结局预测中的应用[J]. 山东大学学报 (医学版), 2025, 63(8): 69-78. |
| [4] | 王丽云,高天勤,刘雨佳,陈青,陈柳,沙凯辉. 基于机器学习产后压力性尿失禁风险预测模型的构建及验证[J]. 山东大学学报 (医学版), 2025, 63(6): 55-66. |
| [5] | 陈瑛翼,游倩,王意,张帆,李凤,季舒铭,徐浩源,饶志勇. 办公室职员肌肉质量减少预测模型的开发与验证[J]. 山东大学学报 (医学版), 2025, 63(4): 26-35. |
| [6] | 王宝炫,焦杰,张厚君,刘奇,于冠英. 衰弱与肌少症评估在胃肠道肿瘤术后结局预测中的应用与展望[J]. 山东大学学报 (医学版), 2025, 63(4): 51-58. |
| [7] | 李永,崔书君,杨飞,张凡,殷晓霞. 基于增强MRI的亚区域影像组学模型可预测乳腺癌患者新辅助化疗后的病理完全反应[J]. 山东大学学报 (医学版), 2025, 63(1): 81-89. |
| [8] | 孙丽娜,白红艳,牛宗格,张福帅,曲仪庆. 基于SII构建及评价预测ARDS住院死亡率的在线临床风险模型[J]. 山东大学学报 (医学版), 2024, 62(7): 10-20. |
| [9] | 郭振江,王宁,赵光远,杜立强,崔朝勃,刘防震. 基于机器学习建立术前预测近端胃癌食管切缘阳性模型[J]. 山东大学学报 (医学版), 2024, 62(7): 78-83. |
| [10] | 刁玉洁,林琳,李文瑄,王洲洋,江蓓,胡迎迎,刘广义. NPR预测ANCA相关血管炎不良肾脏预后及其协同多因素优化模型[J]. 山东大学学报 (医学版), 2024, 62(2): 60-68. |
| [11] | 钟璐,薛付忠. 基于贝叶斯网络不确定性推理的肺癌风险预测模型[J]. 山东大学学报 (医学版), 2023, 61(4): 86-94. |
| [12] | 王建华,孙淑青,张效东,杨筱筱,王友健,卢金宝,李赞武. ICU机械通气患者撤机风险预测模型的构建[J]. 山东大学学报 (医学版), 2023, 61(12): 86-93. |
| [13] | 张明慧,王丽云,王芸,张新月,沙凯辉. 髋部骨折患者术后恐动症风险的列线图分析[J]. 山东大学学报 (医学版), 2023, 61(11): 74-81. |
| [14] | 巨艳丽,王丽华,成芳,黄凤艳,陈学禹,贾红英. 基于机器学习构建放射性碘治疗疗效的预测模型[J]. 山东大学学报 (医学版), 2023, 61(1): 94-99. |
| [15] | 贺士卿,李皖皖,董书晴,牟婧怡,刘宇莹,魏思雨,刘钊,张家新. 基于数据库构建乳腺癌焦亡相关基因的预后风险模型[J]. 山东大学学报 (医学版), 2022, 60(8): 34-43. |
|
||