[3Win5] Poster session 3

[3Win5-19] Factor Analysis for Early Diagnosis and Comprehensive Treatment Planning of Endometriosis Using Clustering Methods

〇Saki Katayama¹, Mariko Nio¹, Yuya Matsuda¹ (1.Chugai Pharmaceutical Co., Ltd.)

Keywords:Real World Data, Clustering Method, Clinical Applications

Our study was conducted using the Japan's hospital claims database provided by Medical Data Vision Co. (MDV, Tokyo), for early diagnosis and comprehensive treatment planning of endometriosis (EMS). We analyzed before and after diagnosis in new EMS diagnosis, examining patterns of increase and decrease in diagnosis. Medication prescriptions and medical procedures were also analyzed descriptively. Analysis using clustering methods suggested that diagnoses of conditions potentially misdiagnosed as EMS increased prior to EMS diagnosis. Additionally, conducting examination of echo with increased painkiller prescriptions may be useful for EMS diagnosis. The study also revealed an increase in diagnosis of mental health conditions alongside EMS-related symptoms, indicating the need for comprehensive treatment addressing both physical and mental aspects. This research provides insights into improving early diagnosis and holistic care for EMS patients.