Your browser doesn't support javascript.
loading
Sodium-Glucose Cotransporter-2 Inhibitor-Related Diabetic Ketoacidosis: Accuracy Verification of Operational Definition.
Kang, Dong Yoon; Kim, Hyunah; Ko, SooJeong; Kim, HyungMin; Shinn, Jiwon; Kang, Min-Gyu; Byeon, Sun-Ju; Choi, Jeong-Hee; Shin, Soo-Yong; Kim, Hun-Sung.
Afiliação
  • Kang DY; Drug Safety Monitoring Center, Seoul National University Hospital, Seoul, Korea.
  • Kim H; College of Pharmacy, Sookmyung Women's University, Seoul, Korea.
  • Ko S; Department of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Korea.
  • Kim H; Department of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Korea.
  • Shinn J; Department of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Korea.
  • Kang MG; Division of Allergy and Clinical Immunology, Departmemt of Internal Medicine, Chungbuk National University Hospital, Chungbuk National College of Medicine, Cheongju, Korea.
  • Byeon SJ; Department of Pathology, Hallym University Dongtan Sacred Heart Hospital, Hwaseong, Korea.
  • Choi JH; Department of Pulmonology and Allergy, Hallym University Dongtan Sacred Heart Hospital, Hwaseong, Korea.
  • Shin SY; Department of Digital Health, SAIHST, Sungkyunkwan University, Seoul, Korea.
  • Kim HS; Department of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Korea.
J Korean Med Sci ; 37(7): e53, 2022 Feb 21.
Article em En | MEDLINE | ID: mdl-35191230
BACKGROUND: The most important aspect of a retrospective cohort study is the operational definition (OP) of the disease. We developed a detailed OP for the detection of sodium-glucose cotransporter-2 inhibitors (SGLT2i) related to diabetic ketoacidosis (DKA). The OP was systemically verified and analyzed. METHODS: All patients prescribed SGLT2i at four university hospitals were enrolled in this experiment. A DKA diagnostic algorithm was created and distributed to each hospital; subsequently, the number of SGLT2i-related DKAs was confirmed. Then, the algorithm functionality was verified through manual chart reviews by an endocrinologist using the same OP. RESULTS: A total of 8,958 patients were initially prescribed SGLT2i. According to the algorithm, 0.18% (16/8,958) were confirmed to have SGLT2i-related DKA. However, based on manual chart reviews of these 16 cases, there was only one case of SGLT2i-related DKA (positive predictive value = 6.3%). Even after repeatedly narrowing the diagnosis range of the algorithm, the effect of a positive predictive value was insignificant (6.3-10.0%, P > 0.999). CONCLUSION: Owing to the nature of electronic medical record data, we could not create an algorithm that clearly differentiates SGLT2i-related DKA despite repeated attempts. In all retrospective studies, a portion of the samples should be randomly selected to confirm the accuracy of the OP through chart review. In retrospective cohort studies in which chart review is not possible, it will be difficult to guarantee the reliability of the results.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 1_ASSA2030 Base de dados: MEDLINE Assunto principal: Cetoacidose Diabética / Diabetes Mellitus Tipo 2 / Inibidores do Transportador 2 de Sódio-Glicose Tipo de estudo: Diagnostic_studies / Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Korean Med Sci Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 1_ASSA2030 Base de dados: MEDLINE Assunto principal: Cetoacidose Diabética / Diabetes Mellitus Tipo 2 / Inibidores do Transportador 2 de Sódio-Glicose Tipo de estudo: Diagnostic_studies / Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Korean Med Sci Ano de publicação: 2022 Tipo de documento: Article