开发预测溃疡性结肠炎严重程度的评分系统

IF 1.1 4区 医学 Q4 GASTROENTEROLOGY & HEPATOLOGY
Junxiang Zeng , Xiupan Gao , Wensong Ge , Manxiu Huai , Zhigang Yang , Ting Luo , Limei Gao , Xiujun Pan
{"title":"开发预测溃疡性结肠炎严重程度的评分系统","authors":"Junxiang Zeng ,&nbsp;Xiupan Gao ,&nbsp;Wensong Ge ,&nbsp;Manxiu Huai ,&nbsp;Zhigang Yang ,&nbsp;Ting Luo ,&nbsp;Limei Gao ,&nbsp;Xiujun Pan","doi":"10.1016/j.ajg.2023.07.001","DOIUrl":null,"url":null,"abstract":"<div><h3>Background and study aims</h3><p>Monitoring disease activity in ulcerative colitis (UC) is critical in preventing long-term complications. This study aims to develop a scoring system using non-invasive indicators to predict endoscopic activities for ulcerative colitis (UC) patients.</p></div><div><h3>Patients and methods</h3><p>All enrolled patients with UC admitted to Shanghai Xinhua Hospital between June 2017 and January 2021 were enrolled, and their clinical data were retrospectively collected and a number of serological biomarkers concentrations were analyzed. Patients were categorized into mild and moderate-to-severe disease groups. Univariate and multivariate logistic regression was used to predict moderate-to-severe endoscopic activities, which were then incorporated into a nomogram to establish a prediction scoring model.</p></div><div><h3>Result</h3><p><span>Overall, 231 patients were divided into a mild group (n = 111, 48.0%) and a moderate-to-severe group (n = 120, 52.0%). The following variables were independently associated with the disease severity and were subsequently included into the prediction model: Proteinase 3 </span>antineutrophil cytoplasmic antibody<span> (PR3-ANCA), C-reactive protein (CRP), hemoglobin(Hb), IL-10, stool frequency ≥ 5 times/day and hematochezia. Incorporating these 6 factors, the nomogram showed good discrimination with C-index of 0.819 and reliable calibration. A scoring model was established with the area under the curve 0.818. Moreover, PR3-ANCA and CRP correlated with the duration of hospital stay.</span></p></div><div><h3>Conclusion</h3><p>We developed a predictive model for endoscopic disease activities by using noninvasive factors based on PR3-ANCA, CRP, Hb, IL-10, stool frequency and hematochezia. This prediction model might assist clinicians in managing patients with UC.</p></div>","PeriodicalId":48674,"journal":{"name":"Arab Journal of Gastroenterology","volume":"24 4","pages":"Pages 211-217"},"PeriodicalIF":1.1000,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Development of a scoring system for predicting the severity of ulcerative colitis\",\"authors\":\"Junxiang Zeng ,&nbsp;Xiupan Gao ,&nbsp;Wensong Ge ,&nbsp;Manxiu Huai ,&nbsp;Zhigang Yang ,&nbsp;Ting Luo ,&nbsp;Limei Gao ,&nbsp;Xiujun Pan\",\"doi\":\"10.1016/j.ajg.2023.07.001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background and study aims</h3><p>Monitoring disease activity in ulcerative colitis (UC) is critical in preventing long-term complications. This study aims to develop a scoring system using non-invasive indicators to predict endoscopic activities for ulcerative colitis (UC) patients.</p></div><div><h3>Patients and methods</h3><p>All enrolled patients with UC admitted to Shanghai Xinhua Hospital between June 2017 and January 2021 were enrolled, and their clinical data were retrospectively collected and a number of serological biomarkers concentrations were analyzed. Patients were categorized into mild and moderate-to-severe disease groups. Univariate and multivariate logistic regression was used to predict moderate-to-severe endoscopic activities, which were then incorporated into a nomogram to establish a prediction scoring model.</p></div><div><h3>Result</h3><p><span>Overall, 231 patients were divided into a mild group (n = 111, 48.0%) and a moderate-to-severe group (n = 120, 52.0%). The following variables were independently associated with the disease severity and were subsequently included into the prediction model: Proteinase 3 </span>antineutrophil cytoplasmic antibody<span> (PR3-ANCA), C-reactive protein (CRP), hemoglobin(Hb), IL-10, stool frequency ≥ 5 times/day and hematochezia. Incorporating these 6 factors, the nomogram showed good discrimination with C-index of 0.819 and reliable calibration. A scoring model was established with the area under the curve 0.818. Moreover, PR3-ANCA and CRP correlated with the duration of hospital stay.</span></p></div><div><h3>Conclusion</h3><p>We developed a predictive model for endoscopic disease activities by using noninvasive factors based on PR3-ANCA, CRP, Hb, IL-10, stool frequency and hematochezia. This prediction model might assist clinicians in managing patients with UC.</p></div>\",\"PeriodicalId\":48674,\"journal\":{\"name\":\"Arab Journal of Gastroenterology\",\"volume\":\"24 4\",\"pages\":\"Pages 211-217\"},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2023-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Arab Journal of Gastroenterology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1687197923000539\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"GASTROENTEROLOGY & HEPATOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Arab Journal of Gastroenterology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1687197923000539","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"GASTROENTEROLOGY & HEPATOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

背景和研究目的监测溃疡性结肠炎(UC)的疾病活动性对于预防长期并发症至关重要。本研究旨在利用无创指标建立一套评分系统,以预测溃疡性结肠炎(UC)患者的内镜活动。患者和方法2017年6月至2021年1月期间,上海新华医院收治的所有UC患者均被纳入研究范围,并回顾性收集了他们的临床数据,分析了一些血清学生物标志物的浓度。患者被分为轻度和中重度两组。采用单变量和多变量逻辑回归预测中重度内镜活动,然后将其纳入提名图,建立预测评分模型。以下变量与疾病严重程度独立相关,随后被纳入预测模型:蛋白酶 3 抗中性粒细胞胞浆抗体(PR3-ANCA)、C 反应蛋白(CRP)、血红蛋白(Hb)、IL-10、大便次数≥ 5 次/天和便血。纳入这 6 个因素后,提名图显示出良好的区分度(C 指数为 0.819)和可靠的校准。建立的评分模型的曲线下面积为 0.818。结论我们利用 PR3-ANCA、CRP、Hb、IL-10、大便次数和血便等无创因素建立了内镜疾病活动预测模型。该预测模型可帮助临床医生管理 UC 患者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of a scoring system for predicting the severity of ulcerative colitis

Background and study aims

Monitoring disease activity in ulcerative colitis (UC) is critical in preventing long-term complications. This study aims to develop a scoring system using non-invasive indicators to predict endoscopic activities for ulcerative colitis (UC) patients.

Patients and methods

All enrolled patients with UC admitted to Shanghai Xinhua Hospital between June 2017 and January 2021 were enrolled, and their clinical data were retrospectively collected and a number of serological biomarkers concentrations were analyzed. Patients were categorized into mild and moderate-to-severe disease groups. Univariate and multivariate logistic regression was used to predict moderate-to-severe endoscopic activities, which were then incorporated into a nomogram to establish a prediction scoring model.

Result

Overall, 231 patients were divided into a mild group (n = 111, 48.0%) and a moderate-to-severe group (n = 120, 52.0%). The following variables were independently associated with the disease severity and were subsequently included into the prediction model: Proteinase 3 antineutrophil cytoplasmic antibody (PR3-ANCA), C-reactive protein (CRP), hemoglobin(Hb), IL-10, stool frequency ≥ 5 times/day and hematochezia. Incorporating these 6 factors, the nomogram showed good discrimination with C-index of 0.819 and reliable calibration. A scoring model was established with the area under the curve 0.818. Moreover, PR3-ANCA and CRP correlated with the duration of hospital stay.

Conclusion

We developed a predictive model for endoscopic disease activities by using noninvasive factors based on PR3-ANCA, CRP, Hb, IL-10, stool frequency and hematochezia. This prediction model might assist clinicians in managing patients with UC.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Arab Journal of Gastroenterology
Arab Journal of Gastroenterology Medicine-Gastroenterology
CiteScore
2.70
自引率
0.00%
发文量
52
期刊介绍: Arab Journal of Gastroenterology (AJG) publishes different studies related to the digestive system. It aims to be the foremost scientific peer reviewed journal encompassing diverse studies related to the digestive system and its disorders, and serving the Pan-Arab and wider community working on gastrointestinal disorders.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信