カタオカ　ヒロシ   KATAOKA Hiroshi   片岡　浩史    所属   医学部 医学科（東京女子医科大学病院）    職種   講師
言語種別	日本語
発表タイトル	Attribute-Based Cross-Classification of ADPKD Complications: A Nationwide Cohort Study from Japan
会議名	Kidney Week 2025
主催者	American Society of Nephrology
学会区分	国際学会及び海外の学会
発表形式	ポスター掲示
講演区分	一般
発表者・共同発表者	◎Kataoka Hiroshi, Hoshino Junichi, Nishio Saori, Hiromura Keiju, Isaka Yoshitaka, Muto Satoru
発表年月日	2025/11/08
国名	アメリカ合衆国
開催地 （都市, 国名）	Houston, USA
開催期間	2025/11/05～2025/11/09
概要	Background Autosomal dominant polycystic kidney disease (ADPKD) leads to diverse complications beyond renal cysts. This study used nationwide registry data from Japan to evaluate how patient attributes influence complication risks, aiming to inform personalized and equitable care. Methods We performed a cross-sectional analysis using anonymized registry data from 12,466 ADPKD patients (2015–2021). Logistic regression evaluated associations between six attributes (sex, age, CKD stage, hypertension, total kidney volume [TKV], and annual TKV growth) and eight complications: intracranial aneurysms (IA), intracranial hemorrhage (ICH), valvular heart disease, liver cysts, kidney pain, urinary tract/cyst infections, gross hematuria/cyst bleeding, and colonic diverticula. Cross-classification identified high-risk subgroups. Results Liver cysts were most common (86.1%), followed by kidney pain (29.7%) and IA (18.5%). IA was associated with female sex (OR 1.59), age ≥50 (OR 1.34), hypertension (OR 1.53), and CKD stage 4–5 (OR 1.29). ICH was linked to hypertension (OR 2.73), age ≥50 (OR 1.36), TKV ≥2000 mL (OR 1.28), and rapid TKV growth (OR 1.22). Valvular heart disease was associated with age ≥50 (OR 1.87) and CKD stage 4–5 (OR 1.24). Liver cysts and kidney pain were more frequent in women and those with TKV ≥2000 mL. Cross-classification revealed distinct high-risk subgroups (e.g., IA in women ≥50 years: 25.3%). Conclusion This nationwide study demonstrates how sex, age, and disease severity shape the complications of ADPKD. Identifying disparities across subgroups supports the development of equitable, personalized screening and care strategies. These insights may inform inclusive guidelines and promote kidney health equity.