Diagnostic validation and development of an algorithm for identification of intussusception in children using electronic health records of Ningbo city in China

Autor: Siwei Deng, Zhike Liu, Junting Yang, Liang Zhang, Tiejun Shou, Jianming Zhu, Yan He, Rui Ma, Ning Li, Guozhang Xu, Siyan Zhan
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Expert Review of Vaccines, Vol 22, Iss 1, Pp 307-314 (2023)
Druh dokumentu: article
ISSN: 1476-0584
1744-8395
14760584
DOI: 10.1080/14760584.2023.2189474
Popis: Background Monitoring the risk of intussusception after the introduction of rotavirus vaccines is recommended by the World Health Organization (WHO). Although the validity of intussusception monitoring using electronic health records (EHRs) has been confirmed previously, no similar studies have been conducted in China. We aimed to verify the diagnosis and determine an algorithm with the best performance for identification of intussusception using Chinese EHR databases. Research design and methods Using the Regional Health Information Platform in Ningbo, patients aged 0–72 months from 2015 to 2021 with any related visits for intussusception were included. The algorithms were based on diagnostic codes or keywords in different clinical scenarios, and their performance was evaluated with positive predictive value (PPV) and sensitivity in line with the Brighton guidelines. Results Brighton level 1 intussusception was confirmed in 2958 patients with 3246 episodes. Fine-tuned algorithms combining the appearance of the relevant ICD-10 codes or the Chinese keyword ‘Chang Tao’ in any diagnostic reports with the results of enema treatments or related surgeries showed the highest sensitivity, while the highest PPV was obtained by further criteria based on typical radiographic appearances. Conclusion Intussusception could be identified and validated internally using EHRs in Ningbo.
Databáze: Directory of Open Access Journals