AI Summary & Key Takeaways
AI InsightConclusion: In this study, it was concluded that the CHOKAI score had high accuracy in terms of diagnostic power in detecting ureteral stones.
📌 3 Key Takeaways
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.