ウシオ　ユウスケ   USHIO Yuusuke   潮　雄介    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	Overweight/Obesity 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	◎Ushio Yusuke
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 Overweight and obesity may contribute to disease progression in autosomal dominant polycystic kidney disease (ADPKD), but its prognostic impact remains unclear, particularly across sex and age groups. This study investigated its influence on renal outcomes using an Attribute-Based Medicine (ABM) approach with sex–age cross-classification. Methods We analyzed 553 ADPKD patients not receiving renal replacement therapy (median age: 43 years; eGFR: 55.9 mL/min/1.73 m2; total kidney volume: 1335.4 mL). 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. The mean follow-up was 6.9 years; 266 patients experienced renal events. Results Overweight/obesity was significantly associated with poorer renal outcomes (HR=1.43, P=0.042). No significant interaction was found between overweight/obesity and age ≥50 in either sex (interaction P=0.928 in men, P=0.168 in women), although women showed a trend toward greater age-related impact. Cross-classification revealed that overweight/obesity was strongly associated with poorer renal outcomes in women <50 years (HR=3.20, P=0.004), and to a lesser extent in men <50 years (HR=1.82, P=0.037). No significant associations were observed in either sex ≥50 years. These findings suggest a greater impact in younger patients, particularly women. Conclusion Overweight and obesity are important modifiable risk factors for renal progression in ADPKD, particularly in younger patients. Attribute-Based Medicine (ABM) using cross-classification by sex and age provides novel insights into individualized risk stratification.