Long-term follow-up of renal function in patients treated with migalastat for Fabry disease

The effect of migalastat on long-term renal outcomes in enzyme replacement therapy (ERT)–naive and ERT-experienced patients with Fabry disease is not well defined. An integrated posthoc analysis of the phase 3 clinical trials and open-label extension studies was conducted to evaluate long-term changes in renal function in patients with Fabry disease and amenable GLA variants who were treated with migalastat for ≥2 years during these studies. The analysis included ERT-naive (n = 36 [23 females]; mean age 45 years; mean baseline estimated glomerular filtration rate (eGFR), 91.4 mL/min/mL/1.73 m2) and ERT-experienced (n = 42 [24 females]; mean age, 50 years; mean baseline eGFR, 89.2 mL/min/1.73m2) patients with amenable variants who received migalastat 123 mg every other day for ≥2 years. The annualized rate of change from baseline to last observation in estimated glomerular filtration rate using the Chronic Kidney Disease Epidemiology Collaboration equation (eGFRCKD-EPI) was calculated by both simple linear regression and a random coefficient model. In ERT-naive patients, mean annualized rates of change from baseline in eGFRCKD-EPI were − 1.6 mL/min/1.73 m2 overall and − 1.8 mL/min/1.73 m2 and − 1.4 mL/min/1.73 m2 in male and female patients, respectively, as estimated by simple linear regression. In ERT-experienced patients, mean annualized rates of change from baseline in eGFRCKD-EPI were − 1.6 mL/min/1.73 m2 overall and − 2.6 mL/min/1.73 m2 and − 0.8 mL/min/1.73 m2 in male and female patients, respectively. Mean annualized rate of change in eGFRCKD-EPI in ERT-naive patients with the classic phenotype (defined by white blood cell alpha galactosidase A [α-Gal A] activity of <3% of normal and multiorgan system involvement) was −1.7 mL/min/1.73 m2. When calculated using the random coefficient model, which adjusted for sex, age, and baseline renal function, the annualized eGFRCKD-EPI change was minimal (mean: −0.1 and 0.1 mL/min/1.73 m2 in ERT-naive and ERT-experienced patients, respectively). In conclusion, patients with Fabry disease and amenable GLA variants receiving long-term migalastat treatment (≤8.6 years) maintained renal function irrespective of treatment status, sex, or phenotype

Assessment of plasma lyso-Gb(3)for clinical monitoring of treatment response in migalastat-treated patients with Fabry disease

Purpose To assess the utility of globotriaosylsphingosine (lyso-Gb(3)) for clinical monitoring of treatment response in patients with Fabry disease receiving migalastat. Methods A post hoc analysis evaluated data from 97 treatment-naive and enzyme replacement therapy (ERT)-experienced patients with migalastat-amenableGLAvariants from FACETS (NCT00925301) and ATTRACT (NCT01218659) and subsequent open-label extension studies. The relationship between plasma lyso-Gb(3)and measures of Fabry disease progression (left ventricular mass index [LVMi], estimated glomerular filtration rate [eGFR], and pain) and the relationship between lyso-Gb(3)and incidence of Fabry-associated clinical events (FACEs) were assessed in both groups. The relationship between changes in lyso-Gb(3)and kidney interstitial capillary (KIC) globotriaosylceramide (Gb(3)) inclusions was assessed in treatment-naive patients. Results No significant correlations were identified between changes in lyso-Gb(3)and changes in LVMi, eGFR, or pain. Neither baseline lyso-Gb(3)levels nor the rate of change in lyso-Gb(3)levels during treatment predicted FACE occurrences in all patients or those receiving migalastat for >= 24 months. Changes in lyso-Gb(3)correlated with changes in KIC Gb(3)inclusions in treatment-naive patients. Conclusions Although used as a pharmacodynamic biomarker in research and clinical studies, plasma lyso-Gb(3)may not be a suitable biomarker for monitoring treatment response in migalastat-treated patients.Medical Biochemistr

Robust selection of variables in linear discriminant analysis

Linear discriminant analysis, Variable selection, Wilks’ lambda, Minimum covariance discriminant, MCD,