サコタ　モモコ   SAKOTA Momoko   迫田　桃子    所属   医学部 医学科（東京女子医科大学病院）    職種   助教
言語種別	英語
発表タイトル	Hyperuricemia and Kidney Prognosis in ADPKD: Insights from Attribute-Based Cross-Classification by Sex and Age
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	◎Manabe Shun, Kataoka Hiroshi, Mochizuki Toshio, Ushio Yusuke, Seki Momoko, Tsuchiya Ken, Nitta Kosaku, Hoshino Junichi
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 Hyperuricemia may contribute to disease progression in ADPKD, but its prognostic impact remains unclear, especially across sex and age groups. We investigated its influence on renal outcomes using an attribute-based cross-classification by sex and age. Methods We analyzed 553 ADPKD patients not undergoing renal replacement therapy (median age: 43 years; eGFR: 55.9 mL/min/1.73 m2; total kidney volume: 1335.4 mL). Hyperuricemia was defined as serum urate ≥7.0 mg/dL or use of urate-lowering therapy. Patients were cross-classified by sex (men/women) and age (<50/≥50 years). The renal outcome—≥30% eGFR decline or initiation of renal replacement therapy—was assessed using Cox regression. Mean follow-up was 6.9 years; 266 patients experienced renal events. Results Hyperuricemia was not associated with worse renal prognosis in the overall cohort (HR=1.34, P=0.120). When examining the interaction between hyperuricemia and age 50 years or older according to sex, a significant difference was observed in men (interaction P=0.004) but not in women (interaction P=0.450). Cross-classification revealed a strong association between hyperuricemia and poor outcomes in women aged <50 years (HR=3.51, P=0.034) and in men aged <50 years (HR=2.06, P=0.026). No significant associations were observed in either sex ≥50 years. Conclusion Hyperuricemia is an important modifiable risk factor for renal progression in ADPKD, particularly in younger patients. The association was strongest in patients under 50 years of age, while no significant impact was observed in older patients. The attribute-based cross-classification analysis provides novel insights into individualized risk stratification and highlights subgroups at higher risk.