Investigation of the CHOKAI score used to predict ureteral stones in patients presenting to the emergency department with renal colic

Author:

EMEM Mehmet Kemal1,HOKENEK Nihat Mujdat2,KILIÇ Mazlum3

Affiliation:

1. Department of Emergency Medicine, Balıklıgöl State Hospital, Şanlıurfa, Turkey

2. Department of Emergency Medicine, University of Health Sciences, Kartal Dr. Lütfi Kırdar City Hospital, İstanbul, Turkey

3. Department of Emergency Medicine, University of Health Sciences, Fatih Sultan Mehmet Training and Research Hospital, İstanbul, Turkey

Abstract

Aim: To investigate the adequacy of the CHOKAI score in the prediction of ureteral stones in patients presenting to the emergency department with renal colic. Material and Method: The data of all patients aged over 18 years, who presented to the emergency department with the complaint of renal colic and were diagnosed with ureteral stones during the study period were retrospectively analyzed using the electronic-based hospital information system. The area under the receiver operating characteristic curve and the area under the curve were used to assess for each patient to determine the cut-off value of the CHOKAI score in the prediction of ureteral stones. Results: The study was completed with 219 patients, of whom 146 were men, and the mean age was 39.4±16.1 years. When the cut-off value of the CHOKAI score was >6, its sensitivity was 84.1%, specificity was 96.7%, positive likelihood ratio was 25.2, negative likelihood ratio was 0.2, positive predictive value was 99.4%, and negative predictive value was 49.2%. Conclusion: In this study, it was concluded that the CHOKAI score had high accuracy in terms of diagnostic power in detecting ureteral stones. However, further studies are needed to demonstrate the broader applicability of the score.

Publisher

Journal of Health Sciences and Medicine

Subject

General Medicine

Reference18 articles.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3