{"title":"糖尿病和心脏病是利妥昔单抗诱导的anca相关血管炎患者急性血小板减少的关键预测因素","authors":"Satoshi Akao, Masaru Shimizu, Kazushi Maruo, Hiromitsu Asashima, Yuya Kondo, Ayako Ohyama, Saori Abe, Ayako Kitada, Haruka Miki, Hiroto Tsuboi, Satoshi Omura, Daiki Nakagomi, Yoshiyuki Abe, Makoto Wada, Naoho Takizawa, Atsushi Nomura, Yuji Kukida, Naoya Kondo, Hirosuke Takagi, Koji Endo, Shintaro Hirata, Naoto Azuma, Tohru Takeuchi, Shoichi Fukui, Kazuro Kamada, Ryo Yanai, Yusuke Matsuo, Yasuhiro Shimojima, Ryo Nishioka, Ryota Okazaki, Tomoaki Takata, Mayuko Moriyama, Ayuko Takatani, Yoshia Miyawaki, Tsuyoshi Shirai, Hiroaki Dobashi, Takafumi Ito, Toshihiko Takada, Yutaka Kawahito, Toshiko Ito-Ihara, Takashi Kida, Nobuyuki Yajima, Takashi Kawaguchi, Isao Matsumoto","doi":"10.1093/rheumatology/keaf529","DOIUrl":null,"url":null,"abstract":"Objectives Rituximab (RTX) is a key treatment for ANCA-associated vasculitis (AAV), but RTX-induced acute thrombocytopenia (RIAT) remains a concern. We aimed to evaluate the risk and risk factors of RIAT in patients with AAV undergoing RTX induction therapy. Methods Patients with new-onset microscopic polyangiitis or granulomatosis with polyangiitis who received RTX in a nationwide multicentre registry in Japan were included. RIAT was defined by platelet count reductions within 28 days post-RTX. Risk factors for RIAT were identified by using logistic regression with stepwise selection, and prediction models were developed. Model performance was assessed using c-statistics. Results Among 175 patients with AAV receiving RTX, RIAT occurred in 35.4% of them. Diabetes mellitus (odds ratio [OR] = 4.96), cardiac disease (OR = 3.57), low platelet count (OR = 1.04 per 104/μL decrease), increased serum creatinine (OR = 1.44 per 1 mg/dl increase), low albumin (OR = 2.33 per 1 g/dl decrease), and high KL-6 (OR = 1.09 per 100 U/ml increase) were identified as significant predictors. A predictive model incorporating these factors achieved a C-statistic of 0.817. Conclusion RIAT is a frequent complication of RTX induction in patients with AAV, with diabetes mellitus and cardiac disease being strong risk factors. Our predictive model would enables risk assessment for RIAT, allowing clinicians to optimize treatment strategies.","PeriodicalId":21255,"journal":{"name":"Rheumatology","volume":"90 1","pages":""},"PeriodicalIF":4.4000,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Diabetes mellitus and cardiac disease as key predictors of rituximab-induced acute thrombocytopenia in ANCA-associated vasculitis\",\"authors\":\"Satoshi Akao, Masaru Shimizu, Kazushi Maruo, Hiromitsu Asashima, Yuya Kondo, Ayako Ohyama, Saori Abe, Ayako Kitada, Haruka Miki, Hiroto Tsuboi, Satoshi Omura, Daiki Nakagomi, Yoshiyuki Abe, Makoto Wada, Naoho Takizawa, Atsushi Nomura, Yuji Kukida, Naoya Kondo, Hirosuke Takagi, Koji Endo, Shintaro Hirata, Naoto Azuma, Tohru Takeuchi, Shoichi Fukui, Kazuro Kamada, Ryo Yanai, Yusuke Matsuo, Yasuhiro Shimojima, Ryo Nishioka, Ryota Okazaki, Tomoaki Takata, Mayuko Moriyama, Ayuko Takatani, Yoshia Miyawaki, Tsuyoshi Shirai, Hiroaki Dobashi, Takafumi Ito, Toshihiko Takada, Yutaka Kawahito, Toshiko Ito-Ihara, Takashi Kida, Nobuyuki Yajima, Takashi Kawaguchi, Isao Matsumoto\",\"doi\":\"10.1093/rheumatology/keaf529\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Objectives Rituximab (RTX) is a key treatment for ANCA-associated vasculitis (AAV), but RTX-induced acute thrombocytopenia (RIAT) remains a concern. We aimed to evaluate the risk and risk factors of RIAT in patients with AAV undergoing RTX induction therapy. Methods Patients with new-onset microscopic polyangiitis or granulomatosis with polyangiitis who received RTX in a nationwide multicentre registry in Japan were included. RIAT was defined by platelet count reductions within 28 days post-RTX. Risk factors for RIAT were identified by using logistic regression with stepwise selection, and prediction models were developed. Model performance was assessed using c-statistics. Results Among 175 patients with AAV receiving RTX, RIAT occurred in 35.4% of them. Diabetes mellitus (odds ratio [OR] = 4.96), cardiac disease (OR = 3.57), low platelet count (OR = 1.04 per 104/μL decrease), increased serum creatinine (OR = 1.44 per 1 mg/dl increase), low albumin (OR = 2.33 per 1 g/dl decrease), and high KL-6 (OR = 1.09 per 100 U/ml increase) were identified as significant predictors. A predictive model incorporating these factors achieved a C-statistic of 0.817. Conclusion RIAT is a frequent complication of RTX induction in patients with AAV, with diabetes mellitus and cardiac disease being strong risk factors. Our predictive model would enables risk assessment for RIAT, allowing clinicians to optimize treatment strategies.\",\"PeriodicalId\":21255,\"journal\":{\"name\":\"Rheumatology\",\"volume\":\"90 1\",\"pages\":\"\"},\"PeriodicalIF\":4.4000,\"publicationDate\":\"2025-10-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Rheumatology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1093/rheumatology/keaf529\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"RHEUMATOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Rheumatology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/rheumatology/keaf529","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"RHEUMATOLOGY","Score":null,"Total":0}
Diabetes mellitus and cardiac disease as key predictors of rituximab-induced acute thrombocytopenia in ANCA-associated vasculitis
Objectives Rituximab (RTX) is a key treatment for ANCA-associated vasculitis (AAV), but RTX-induced acute thrombocytopenia (RIAT) remains a concern. We aimed to evaluate the risk and risk factors of RIAT in patients with AAV undergoing RTX induction therapy. Methods Patients with new-onset microscopic polyangiitis or granulomatosis with polyangiitis who received RTX in a nationwide multicentre registry in Japan were included. RIAT was defined by platelet count reductions within 28 days post-RTX. Risk factors for RIAT were identified by using logistic regression with stepwise selection, and prediction models were developed. Model performance was assessed using c-statistics. Results Among 175 patients with AAV receiving RTX, RIAT occurred in 35.4% of them. Diabetes mellitus (odds ratio [OR] = 4.96), cardiac disease (OR = 3.57), low platelet count (OR = 1.04 per 104/μL decrease), increased serum creatinine (OR = 1.44 per 1 mg/dl increase), low albumin (OR = 2.33 per 1 g/dl decrease), and high KL-6 (OR = 1.09 per 100 U/ml increase) were identified as significant predictors. A predictive model incorporating these factors achieved a C-statistic of 0.817. Conclusion RIAT is a frequent complication of RTX induction in patients with AAV, with diabetes mellitus and cardiac disease being strong risk factors. Our predictive model would enables risk assessment for RIAT, allowing clinicians to optimize treatment strategies.
期刊介绍:
Rheumatology strives to support research and discovery by publishing the highest quality original scientific papers with a focus on basic, clinical and translational research. The journal’s subject areas cover a wide range of paediatric and adult rheumatological conditions from an international perspective. It is an official journal of the British Society for Rheumatology, published by Oxford University Press.
Rheumatology publishes original articles, reviews, editorials, guidelines, concise reports, meta-analyses, original case reports, clinical vignettes, letters and matters arising from published material. The journal takes pride in serving the global rheumatology community, with a focus on high societal impact in the form of podcasts, videos and extended social media presence, and utilizing metrics such as Altmetric. Keep up to date by following the journal on Twitter @RheumJnl.