ホシノ ジユンイチ   HOSHINO Jiyun'ichi
  星野 純一
   所属   医学部 医学科(東京女子医科大学病院)
   職種   教授・基幹分野長
論文種別 原著
言語種別 英語
査読の有無 査読なし
表題 Kidney lesions and risk of cardiovascular events in biopsy-proven diabetic kidney disease with type 2 diabetes.
掲載誌名 正式名:Clinical and experimental nephrology
略  称:Clin Exp Nephrol
ISSNコード:14377799/13421751
掲載区分国外
巻・号・頁 pp.online
著者・共著者 Shimizu Miho, Furuichi Kengo, Toyama Tadashi, Yamanouchi Masayuki, Hayashi Daiki, Koshino Akihiko, Sako Keisuke, Horikoshi Keisuke, Yuasa Takahiro, Tamai Akira, Minami Taichiro, Oshima Megumi, Nakagawa Shiori, Kitajima Shinji, Mizushima Ichiro, Hara Akinori, Sakai Norihiko, Kitagawa Kiyoki, Yoshimura Mitsuhiro, Hoshino Junichi, Ubara Yoshifumi, Iwata Yasunori, Wada Takashi
発行年月 2024/10/28
概要 BACKGROUND:This study assessed the association of pathological kidney lesions with cardiovascular events in biopsy-proven diabetic kidney disease (DKD) with type 2 diabetes.RESULTS:During follow-up (median: 6.4 years), 43 patients experienced cardiovascular events. The baseline clinical characteristics did not differ according to cardiovascular events. The cumulative incidence of cardiovascular events was higher in patients with mesangiolysis, global glomerulosclerosis ≥ 50%, moderate/severe interstitial inflammation, and moderate/severe arteriolar hyalinosis than in those having less advanced each lesion. Fine-Gray regression models revealed that global glomerulosclerosis ≥ 50% (subdistribution hazard ratio [SHR]: 3.85; 95% confidence interval [95% CI] 1.28-11.52), moderate/severe interstitial inflammation (SHR: 2.49; 95% CI 1.18-5.29), and moderate/severe arteriolar hyalinosis (SHR: 3.51; 95% CI 1.15-10.69) were linked to increased risk of cardiovascular events, after adjusting for clinical variables including RAAS inhibitors use at baseline. Adding the severity of these lesions to clinical variables improved the predictive value for cardiovascular events.CONCLUSIONS:In DKD with type 2 diabetes, advanced glomerulosclerosis, interstitial inflammation, and arteriolar hyalinosis were associated with cardiovascular events, adding predictive value to clinical featu
DOI 10.1007/s10157-024-02576-6
PMID 39466582