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Globotriaosylsphingosine improves risk stratification of kidney progression in Fabry disease patients.
Ouyang, Yan; Zhang, Wei; Zhao, Zhanzheng; Wang, Chaohui; Ren, Hong; Xie, Jingyuan; Li, Xiao; Shen, Pingyan; Shi, Hao; Xu, Jing; Xu, Yaowen; Wang, Weiming; Yang, Li; Yu, Xialian; Chen, Weihong; Zhao, YaWen; Wang, Zheng; Wu, YiFan; Chen, Nan; Pan, XiaoXia.
Afiliação
  • Ouyang Y; Department of Nephrology, Institute of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Zhang W; Neurology Division, Department of Medicine, Peking University First Hospital, Beijing, China.
  • Zhao Z; Department of Nephrology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
  • Wang C; Department of Nephrology, Institute of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Ren H; Department of Nephrology, Institute of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Xie J; Department of Nephrology, Institute of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Li X; Department of Nephrology, Institute of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Shen P; Department of Nephrology, Institute of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Shi H; Department of Nephrology, Institute of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Xu J; Department of Nephrology, Institute of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Xu Y; Department of Nephrology, Institute of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Wang W; Department of Nephrology, Institute of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Yang L; Department of Nephrology, Institute of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Yu X; Department of Nephrology, Institute of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Chen W; Department of Nephrology, Institute of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Zhao Y; Neurology Division, Department of Medicine, Peking University First Hospital, Beijing, China.
  • Wang Z; Department of Nephrology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
  • Wu Y; Biomedical and Health Informatics, University of Washington, Seattle, USA.
  • Chen N; Department of Nephrology, Institute of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. Electronic address: cnrj100@126.com.
  • Pan X; Department of Nephrology, Institute of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. Electronic address: pxx10768@rjh.com.cn.
Clin Chim Acta ; 556: 117851, 2024 Mar 15.
Article em En | MEDLINE | ID: mdl-38438007
ABSTRACT

BACKGROUND:

Kidney damage is common in patients with Fabry disease (FD), but more accurate information about the risk of progression to kidney failure is needed for clinical decision-making. In particular, FD patients with mild renal involvement often lack timely intervention and treatment. We aimed to utilize a model to predict the risk of renal progression in FD patients.

METHODS:

Between November 2011 and November 2019, ERT-naive patients with FD were recruited from three medical centers in China. To assess the risk of a 50% decline in the estimated glomerular filtration rate (eGFR) or end-stage kidney disease (ESKD), Cox proportional hazards models were utilized. The performance of these models was assessed using discrimination, calibration, and reclassification.

RESULTS:

A total of 117 individuals were enrolled. The mean follow-up time was 4.8 years, during which 35 patients (29.9 %) progressed to the composite renal outcomes. Male sex, baseline proteinuria, eGFR and globotriaosylsphingosine (Lyso-Gb3) were found to be independent risk factors for kidney progression by the Cox model, based on which a combined model containing those clinical variables and Lyso-Gb3 and clinical models including only clinical indicators were constructed. The two prediction models had relatively good performance, with similar model fit measured by R2 (59.8 % vs. 61.1 %) and AIC (51.54 vs. 50.08) and a slight increase in the C statistic (0.949 vs. 0.951). Calibration curves indicated closer alignment between predicted and actual renal outcomes in the combined model. Furthermore, subgroup analysis revealed that Lyso-Gb3 significantly improved the predictive performance of the combined model for kidney prognosis in low-risk patients with a baseline eGFR over 60 ml/min/1.73 m2 or proteinuria levels less than 1 g/d when compared to the clinical model.

CONCLUSIONS:

Lyso-Gb3 improves the prediction of kidney outcomes in FD patients with a low risk of progression, suggesting that these patients may benefit from early intervention to assist in clinical management. These findings need to be externally validated.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doença de Fabry Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doença de Fabry Idioma: En Ano de publicação: 2024 Tipo de documento: Article