Literature DB >> 26490103

Antiproteinuric therapy and Fabry nephropathy: factors associated with preserved kidney function during agalsidase-beta therapy.

David G Warnock1, Christie P Thomas2, Bojan Vujkovac3, Ruth C Campbell4, Joel Charrow5, Dawn A Laney6, Leslie L Jackson1, William R Wilcox6, Christoph Wanner7.   

Abstract

BACKGROUND: Nephropathy is an important feature of classical Fabry disease, which results in alpha-galactosidase A deficiency and cellular globotriaosylceramide accumulation. We report the safety and efficacy of antiproteinuric therapy with ACE inhibitors or angiotensin II receptor blockers (ARBs) in a study of classical Fabry patients receiving recombinant agalsidase-beta therapy. METHODS AND
DESIGN: The goal was maintenance of urine protein to creatinine ratio (UPCR) <0.5 g/g or a 50% reduction in baseline UPCR for 24 patients at eight study sites. The change in estimated glomerular filtration rate (eGFR) was assessed over 21 months of treatment.
RESULTS: 18 out of 24 patients achieved the UPCR goal with eGFR slopes that were significantly better than six patients who did not achieve the UPCR goal (-3.6 (-4.8 to -1.1) versus -7.0 (-9.0 to -5.6) mL/min/1.73 m(2)/year, respectively, p=0.018). Despite achieving the UPCR goal, 67% (12/18 patients) still progressed with an eGFR slope <-2 mL/min/1.73 m(2)/year. Regression analysis showed that increased age at initiation of agalsidase-beta therapy was significantly associated with worsened kidney outcome. Hypotension and hyperkalaemia occurred in seven and eight patients, respectively, which required modification of antiproteinuric therapy but was not associated with serious adverse events.
CONCLUSIONS: This study documents the effectiveness of agalsidase-beta (1 mg/kg/2 weeks) and antiproteinuric therapy with ACE inhibitors and/or ARB in patients with severe Fabry nephropathy. Patients had preservation of kidney function if agalsidase-beta treatment was initiated at a younger age, and UPCR maintained at or below 0.5 g/g with antiproteinuric therapy. TRIAL REGISTRATION NUMBER: NCT00446862. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

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Keywords:  Clinical genetics; Metabolic disorders; Renal Medicine

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Year:  2015        PMID: 26490103      PMCID: PMC4717450          DOI: 10.1136/jmedgenet-2015-103471

Source DB:  PubMed          Journal:  J Med Genet        ISSN: 0022-2593            Impact factor:   6.318


Introduction

Fabry disease (OMIM #301500) is an X-linked disorder caused by lysosomal alpha-galactosidase A (α-Gal A) deficiency. Classical patients with mutations in the α-Gal A gene accumulate globotriaosylceramide (GL-3) and become symptomatic in childhood with pain, gastrointestinal disturbances, angiokeratoma and hypohidrosis.1 Classical patients experience progressive loss of renal function and hypertrophic cardiomyopathy, with severe clinical events including end-stage renal disease, stroke, arrhythmias and premature death.1 2 Heterozygous women may be affected as severely as male Fabry patients,2–4 especially with skewed X-chromosome inactivation.5 6 Enzyme replacement therapy (ERT) and supportive care (eg, renal replacement therapy) have changed the natural history of Fabry disease; cardiovascular events now account for the majority of deaths.7 8 Agalsidase-beta given at 1 mg/kg every two weeks reduced endothelial GL-3 deposits from kidney, skin and heart biopsies in a randomised, placebo-controlled phase III trial with 58 patients.9 10 In an open-label, 54-month extension study, renal function was stabilised in most patients.11 However, baseline proteinuria (>1g/24 h) and >50% glomerulosclerosis on kidney biopsies were important risk factors for continued loss of renal function despite ERT.11 With an additional 5 years of follow-up, patients who maintained urinary protein-to-creatinine ratios (UPCR) <0.5 g/24 h on agalsidase-beta had low risk for renal progression, while those with UPCR >0.5 g/24 h had progressive loss of renal function.12 Mean estimated glomerular filtration rate (eGFR) slopes for the two groups were −1.89 and −6.82 mL/min/1.73 m2/year, respectively.12 The age at which patients started agalsidase-beta emerged as an important factor that differentiated the two groups (mean 25 vs 38 years, respectively). Another randomised, placebo-controlled study with agalsidase-beta was conducted with Fabry patients and more advanced renal involvement (baseline eGFR <80 mL/min/1.73 m2/year).13 The overall results were similar for the two randomised studies; patients with higher baseline eGFR and lower UPCR had significant preservation of renal function when treated with agalsidase-beta.11–13 We previously demonstrated in a small, open-label single-centre study that treatment with ACE inhibitors or angiotensin receptor blocker (ARB) to maintain UPCR <0.5 g/24 h was associated with stabilisation of renal function even in Fabry patients at high risk for progression of nephropathy.14 This background provides the rationale for prospectively evaluating the control of proteinuria in Fabry nephropathy. The objective of the present study was to investigate the safety and efficacy of antiproteinuric therapy with ACE inhibitor and/or ARB therapy in adults with Fabry nephropathy. We hypothesised that patients with UPCR maintained <0.5 g/g throughout the study would have preservation of their renal function. Participants over 21 months in 24 patients (15 males and 9 females) with classic Fabry disease treated with agalsidase-beta at eight different study sites. Also, 18 of the 24 participants achieved the UPCR goal during the study, but only 6 out of 18 had preservation of kidney function (eGFR slopes better than −2.0 mL/min/1.73 m2/year). The age at which agalsidase-beta was started was the most significant factor associated with loss of kidney function despite control of UPCR to the defined treatment goal of 0.5 g/g or 50% reduction from the baseline level.

Methods

Study design, participants and setting

The Fabrazyme+Arbs+ACE inhibitor Treatment (FAACET) study evaluated the safety and efficacy proteinuria control with ACE inhibitor and/or ARB therapy Fabry patients who were receiving ERT with agalsidase-beta at 1 mg/kg every two weeks. FAACET was registered as a prospective observational study (NCT00446862), sponsored by the University of Alabama at Birmingham. Enrolment was based on local study site records, and included adult males and females with Fabry nephropathy associated with reduced eGFR and/or significant proteinuria. After a 3-month initial baseline phase, the patients were followed during a 21-month treatment phase. The primary objective (UPCR goal) was reduction of the UPCR to <0.5 g/g for all treatment visits or the averaged treatment UPCR values to <50% of the first baseline value. ACE inhibitor and/or ARB doses were adjusted during the visits according to the local standards for care, with the goal of reaching and maintaining the UPCR goal. The primary outcome measure was the regression slope of eGFR (mL/min/1.73 m2/year). The inclusion criteria included ethics committee-approved, written informed consent at each study site for adults (≥19 years of age) with classical Fabry disease who were already receiving agalsidase-beta at the first visit. Patients qualified with eGFR ≥20 and ≤60 mL/min/1.73 m2 and documented UPCR >0.5; or eGFR ≤125 mL/min/1.73 m2 and >60 mL/min/1.73 m2 with documented UPCR >1.0. These qualifications were based on previous descriptions of patients with Fabry disease for whom the rate of loss of kidney function was related to their baseline urine protein and kidney function.15 16 Many patients were already receiving ACE inhibitor or ARB therapy at the time of enrolment and were not removed from these agents before enrolment. A parallel placebo-treated arm was not included in the FAACET study design. Exclusion criteria were prior end-stage renal disease and/or renal transplantation; presence of another confounding kidney disease demonstrated by renal biopsy; and documented allergies to any of the treatment agents, pregnancy or potential pregnancy during the study period.

Statistical analysis

The primary efficacy analysis was the change in renal function assessed as eGFR slope stratified by the UPCR goal, to assess the impact of ACE inhibitor/ARB therapy on decline of eGFR in patients receiving agalsidase-beta therapy. A medication score was used to describe the intensity of antiproteinuric and antihypertensive medication at the last visit. This score was defined as 0, none; 1, ACE inhibitor or ARB; 2, ACE inhibitor plus ARB, or either with diuretic; 3, ACE inhibitor or ARB at maximum dose. The Chronic Kidney Disease Epidemiology Collaboration equation was used to calculate estimated GFR based on serum creatinine measured at each visit.17 All serum creatinine measurements were performed in the UAB Hospital Central Laboratory using isotope-dilution mass-spectroscopy traceable calibration.18 We compared characteristics of patients using χ2 and analysis of variance. Duncan and Dunnett tests were used for multiple comparisons, with statistical significance set at p≤0.05. Values are presented as ±1 SD; median values are presented with 25th and 75th centiles (IQR). The eGFR slopes and intercepts were calculated with linear regression for individual patient treatment visits, and patient-specific intercepts and slopes were extracted from mixed effect linear regression models for the entire group. Statistical and graphical analyses were done with Stata V.13.1 (Stata, College Station, Texas, USA).

Results

Characteristics at qualification and baseline evaluation

Thirty-two subjects were enrolled at 10 different study sites, and 24 subjects (15 males and 9 females) completed the study protocol. The study sites, principal investigators, number of subjects enrolled, number of subjects completing the protocol and reasons for discontinuation are shown in online supplementary table 1. For the 24 subjects who completed the study, the baseline median age was 43.1 years (IQR 38.3–50.2); 15 were males and 3 self-identified themselves as black (table 1).
Table 1

Baseline characteristics for all participants completing titration and follow-up visits: stratified by urine protein to creatinine ratio goal

VariableTotalMet UPCR goalAbove UPCR goal
Participants (n)24 (100%)18 (75%)6 (24%)
Age at baseline (years)43.1 (39.5–46.7)43.6 (39.4–47.8)41.7 (31.9–51.1)
Males15 (63%)10 (56%)5 (83%)
Blacks3 (13%)2 (11%)1 (17%)
Duration on agalsidase-beta (years)3.1 (0.3–4.4)2.9 (0.3–4.8)3.6 (1.4–4.1)
Agalsidase-beta started at age (years)42.8 (36.1–47.5)43.3 (38.0–47.9)37.2 (33.5–47.2)
Qualification values (historical data)
 Urine protein–creatinine ratio (g/g)1.5 (1.1–2.3)1.4 (1.0–2.3)1.9 (1.5–2.3)
 eGFR (mL/min/1.73 m2)71 (56–93)71 (55–94)73 (56–92)
 Interval before enrolment (years)1.0 (0.1–2.2)0.6 (0.1–1.6)2.2 (1.8–2.4)
Initial baseline values (visit–3)
 Systolic blood pressure (mm Hg)112 (103–128)110 (100–130)119 (112–121)
 Diastolic blood pressure (mm Hg)73 (64–77)72 (63–82)73 (68–75)
 Serum potassium (mEq/L)4.2 (4.0–4.5)4.2 (4.1–4.4)4.0 (3.8–4.9)
 Urine protein–creatinine ratio (g/g)0.7 (0.4–1.3)0.6 (0.3–1.1)1.2 (0.4–2.3)
 Urine albumin–creatinine ratio (mg/g)263 (73–759)124 (49–555)759 (459–1398)
 eGFR (mL/min/1.73 m2)69 (53–93)69 (56–92)a62 (46–93)
 Historical eGFR slope (N) (mL/min/1.73 m2/year;) N=12−6.2 (12) (−8.4 to −2.7)−7.1 (7) (−9.3 to −5.4)−3.2 (5) (−6.9 to −2.3)
Averaged treatment values
 Systolic blood pressure (mm Hg)112 (104–124)112 (103–127)112 (107–117)
 Diastolic blood pressure (mm Hg)71 (63–73)71 (62–78)70 (64–73)
 Serum potassium (mEq/L)4.4 (3.9–4.7)4.4 (4.0–4.7)4.3 (3.8–4.9)
 UPCR (g/g)0.5 (0.3–0.9)0.4 (0.2–0.5)0.9 (0.7–1.5)
 ACR (mg/g)267 (123–637)226 (81–365)579 (454–733)
 eGFR (mL/min/1.73 m2)65 (44–83)67 (48–83)46 (40–78)

Continuous variables presented as median (25th–75th centile). Duration of enzyme replacement therapy (years), interval between starting agalsidase-beta at 1 mg/kg every other week and initial baseline visit

p<0.05 for differences in medians, comparing groups at and above UPCR goal with two-sample Wilcoxon rank-sum test (shown in bold). Qualification values indicate values recorded before enrolment based on local chart review. UPCR goal defined as UPCR for first treatment visit ≤0.5 g/g or averaged treatment UPCR ≤50% of baseline UPCR or averaged treatment UPCR ≤0.5 g/g.ACR, albumin to creatinine ratio; eGFR, estimated glomerular filtration rate (mL/min/1.73 m2); UPCR, urine protein to creatinine ratio.

Baseline characteristics for all participants completing titration and follow-up visits: stratified by urine protein to creatinine ratio goal Continuous variables presented as median (25th–75th centile). Duration of enzyme replacement therapy (years), interval between starting agalsidase-beta at 1 mg/kg every other week and initial baseline visit p<0.05 for differences in medians, comparing groups at and above UPCR goal with two-sample Wilcoxon rank-sum test (shown in bold). Qualification values indicate values recorded before enrolment based on local chart review. UPCR goal defined as UPCR for first treatment visit ≤0.5 g/g or averaged treatment UPCR ≤50% of baseline UPCR or averaged treatment UPCR ≤0.5 g/g.ACR, albumin to creatinine ratio; eGFR, estimated glomerular filtration rate (mL/min/1.73 m2); UPCR, urine protein to creatinine ratio. The median duration of ERT therapy before the first visit was 3.1 years (IQR 0.3–4.4), and the median age at which ERT was started was 42.8 years (IQR 36.1–47.5). Median values for qualifying UPCR (1.5 g/g (IQR 1.1–2.3)) and eGFR (71 mL/min/1.73 m2 (IQR 56–95)) were obtained 1.0 year (IQR 0.1–2.2) before enrolment. Baseline values for vital signs, serum potassium, UPCR, albumin to creatinine ratio (ACR) and eGFR are also listed in table 1. The historical eGFR slope (difference between baseline and qualifying eGFR values divided by the interval) was estimated at −6.2 mL/min/1.73 m2/year for 12 subjects with intervals >12 months. Historical estimates were not calculated for subjects if data were not available 12 months before enrolment. The baseline clinical findings are summarised in online supplementary table 2 for the 24 participants who completed the study. The FAACET participants had cardiac involvement and significant kidney involvement based on the qualifying thresholds for UPCR and eGFR. At the time of the first visit, 22 of 24 patients were already receiving ACE inhibitors and/or ARBS.

Titration and maintenance of UPCR goal

The primary objective of the FAACET study was reduction of the UPCR to <0.5 g/g for all treatment visits or the averaged treatment UPCR values to <50% of the first baseline value. The characteristics are shown in table 1 for the 24 FAACET study participants, stratified by UPCR goal. The antiproteinuric doses were adjusted during the baseline and treatment visits, following the local standards of care, to achieve and maintain the UPCR goal. The baseline values for participants stratified by the UPCR goal are shown in table 1. The average values for the treatment visits were similar for the group of 18 participants who met the UPCR goal. The baseline systolic blood pressure and ACR values were higher for the six participants who did not reach the UPCR goal. The results for UPCR and ACR throughout the treatment visits are shown in figure 1A stratified by UPCR goal. Participants who met the UPCR goal at the first treatment visit remained close to goal throughout the study. Participants above UPCR goal at the first treatment visit were not successfully titrated to goal during the three baseline visits and remained above the UPCR goal throughout the remaining treatment visits. Figure 1B shows the UPCR ratios for participants stratified by the eGFR intercept at 60 mL/min/1.73 m2. Participants who were in the eGFR strata <60 mL/min/1.73 m2 had higher UPCR values throughout the treatment visits.
Figure 1

Box plots of urine protein to creatinine ratio (UPCR). (A) Stratified at UPCR goal. (B) Stratified by Chronic Kidney Disease Epidemiology Collaboration estimated glomerular filtration rate (eGFR) intercept at 60 mL/min per 1.73 m2. The UPCR goal was defined as UPCR for first treatment visit ≤0.5 g/g or averaged treatment UPCR ≤50% of baseline UPCR (visit –3). The eGFR intercept was calculated with a mixed-effect linear model across all treatment visits. eGFR slopes, mL/min/1.73 m2/year. The horizontal line is the median value and the upper and lower limits of the boxes are 75th and 25th centiles, respectively. The number of participants in each category is shown in parentheses above the upper cap of the 90th centile values.

Box plots of urine protein to creatinine ratio (UPCR). (A) Stratified at UPCR goal. (B) Stratified by Chronic Kidney Disease Epidemiology Collaboration estimated glomerular filtration rate (eGFR) intercept at 60 mL/min per 1.73 m2. The UPCR goal was defined as UPCR for first treatment visit ≤0.5 g/g or averaged treatment UPCR ≤50% of baseline UPCR (visit –3). The eGFR intercept was calculated with a mixed-effect linear model across all treatment visits. eGFR slopes, mL/min/1.73 m2/year. The horizontal line is the median value and the upper and lower limits of the boxes are 75th and 25th centiles, respectively. The number of participants in each category is shown in parentheses above the upper cap of the 90th centile values.

Stratification by UPCR goal and eGFR slopes

Table 2 shows the eGFR slopes stratified by UPCR categories. The slopes and intercepts were calculated for each strata using mixed-effects linear regression analysis, and the linear slopes were obtained from linear regression analysis of individual patient data.
Table 2

Estimated glomerular filtration slopes and intercepts by urine protein to creatinine strata

Sex (F/M)UPCR strataInitial valuesTreatment values
eGFRUPCRAveraged UPCRMixed modelsLinear slope
InterceptSlope
6/7≤0.570±300.33±0.370.29±0.1570±28−3.42±2.30−1.03±6.15
1/50.5–1.066±310.71±0.300.73±0.1965±24−4.86±3.27−3.77±7.60
2/3>1.076±231.2±0.81.5±0.576±28−5.27±6.00−6.81±11.7

Continuous variables presented as means (±SD). UPCR strata were defined by the indicated UPCR categories at the first visit. The averaged UPCR represents the average of all UPCR values obtained during the treatment visits. The intercept and slope values were obtained from a mixed-effect regression model, and linear slopes were obtained with linear regression using patient-level data for the duration of the treatment visits.

p<0.05 for differences in medians, comparing groups defined by UPCR strata (Dunnett's test for multiple comparisons to the reference value (UPCR strata ≤0.5 g/g)).

eGFR, estimated glomerular filtration rate; ERT, enzyme replacement therapy with agalsidase-beta at 1 mg/kg every two weeks; UPCR, urine protein to creatinine ratio (g/g).

Estimated glomerular filtration slopes and intercepts by urine protein to creatinine strata Continuous variables presented as means (±SD). UPCR strata were defined by the indicated UPCR categories at the first visit. The averaged UPCR represents the average of all UPCR values obtained during the treatment visits. The intercept and slope values were obtained from a mixed-effect regression model, and linear slopes were obtained with linear regression using patient-level data for the duration of the treatment visits. p<0.05 for differences in medians, comparing groups defined by UPCR strata (Dunnett's test for multiple comparisons to the reference value (UPCR strata ≤0.5 g/g)). eGFR, estimated glomerular filtration rate; ERT, enzyme replacement therapy with agalsidase-beta at 1 mg/kg every two weeks; UPCR, urine protein to creatinine ratio (g/g). The average eGFR slope for 13 participants with initial UPCR values ≤0.5 g/g was −3.42 mL/min/1.73 m2/year (SD 2.30), the eGFR slope for six participants with initial UPCR values >0.5 and ≤1.0 g/g was −4.86 mL/min/1.73 m2/year (SD 3.27) and for five participants with initial UPCR values >1.0 g/g was −5.27 mL/min/1.73 m2/year (SD 6.00); these slopes were not significantly different for the UPCR strata. Figure 2A shows the eGFR slopes (−3.6 mL/min/1.73 m2/year (95% CI −4.8 to −1.1)) for 18 participants who met the prespecified UPCR goal, while the eGFR slope for those who did not meet the UPCR goal was −7.0 mL/min/1.73 m2/year (95% CI −5.6 to −2.0); this 49% difference was statistically significant (p=0.005), and the slopes were significantly from zero (p=0.001 and 0.018, respectively).
Figure 2

Box plots of Chronic Kidney Disease Epidemiology Collaboration estimated glomerular filtration rate (eGFR) slopes. (A) Stratified at urine protein to creatinine ratio (UPCR) goal. (B) Stratified by eGFR slope at −2.0 mL/min per 1.73 m2/year. The UPCR goal was defined as UPCR for first treatment visit ≤0.5 g/g, or averaged treatment UPCR ≤50% of baseline UPCR (visit –3), or averaged treatment UPCR <0.5 g/g. The eGFR slopes and intercepts were calculated with a mixed-effect linear model across all treatment visits. eGFR slopes, mL/min/1.73 m2/year. The horizontal line is the median value and the upper and lower limits of the boxes are 75th and 25th centiles, respectively. The number of participants in each category is shown in parentheses above the upper cap of the 90th centile values.

Box plots of Chronic Kidney Disease Epidemiology Collaboration estimated glomerular filtration rate (eGFR) slopes. (A) Stratified at urine protein to creatinine ratio (UPCR) goal. (B) Stratified by eGFR slope at −2.0 mL/min per 1.73 m2/year. The UPCR goal was defined as UPCR for first treatment visit ≤0.5 g/g, or averaged treatment UPCR ≤50% of baseline UPCR (visit –3), or averaged treatment UPCR <0.5 g/g. The eGFR slopes and intercepts were calculated with a mixed-effect linear model across all treatment visits. eGFR slopes, mL/min/1.73 m2/year. The horizontal line is the median value and the upper and lower limits of the boxes are 75th and 25th centiles, respectively. The number of participants in each category is shown in parentheses above the upper cap of the 90th centile values. The median eGFR slope in figure 2B (shaded box) was −0.1 (95% CI −1.1 to 1.3) mL/min/1.73 m2/year for the six participants who met UPCR goal and had eGFR slopes ≥−2 mL/min/1.73 m2/year (table 3). The open box represents 12 participants who met the UPCR goal but had eGFR slope was <−2 mL/min/1.73 m2/year (−4.2 (95% CI −5.3 to −3.6) mL/min/1.73 m2/year)). The 12 participants who met the UCPR goal, but with significant decline in kidney function (eGFR slope <−2.0 mL/min/1.73 m2/year) had greater UPCR and ACR during the treatment period than did those who met the UCPR goal and had preserved kidney function (table 3).
Table 3

Characteristics for all participants: stratified by UPCR goal and eGFR slope at −2.0 mL/min/1.73 m2/year

VariableMet UPCR goal (18)Above UPCR goal (6)
eGFR slope strata (mL/min/1.73 m2/year): N(≥−2.0): 6(<−2.0): 12(<−2.0): 6
Age at visit 0 (year)40.6 (30.9–51.8)46.6 (42.9–51.3)41.5 (35.1–51.7)
Age: ERT started (years)37.9 (30.3–46.1)45.1 (40.4–49.2)37.2 (33.5–47.2)
Interval: ERT start to visit 0 (years)5.1 (0.4–5.5)2.6 (0.3–4.1)3.6 (1.4–4.1)
Initial follow-up (visit 0)
 Systolic blood pressure (mm Hg)101 (98–107)112 (109–126)111 (100–120)
 Serum K+ (mEq/L)4.2 (3.7–5.0)4.2 (4.0–4.6)4.2 (3.9–5.2)
 UPCR (g/g)0.1 (0.1–0.3)0.3 (0.2–0.9)0.9 (0.7–1.7)
 ACR (mg/g)61 (5.7–96)162 (69–598)627 (456–1126)
 eGFR (mL/min/1.73 m2)88 (56–116)62 (48–78)61 (45–81)
Average of follow-up visits
 Systolic blood pressure (mm Hg)104 (102–111)119 (107–130)112 (107–117)
 Serum K+ (mEq/L)4.8 (4.0–5.6)4.9 (4.7–5.2)4.9 (4.0–5.5)
 UPCR (g/g)0.3 (0.1–0.5)0.4 (0.3–0.7)0.9 (0.7–1.5)
 ACR (mg/g)122 (18–234)254 (123–491)579 (454–733)
 eGFR (mL/min/1.73 m2)80 (75–126)56 (45–75)68 (45–73)
Last follow-up visit
 Systolic blood pressure (mm Hg)110 (101–118)120 (113–140)111 (101–120)
 Serum K+ (mEq/L)4.1 (3.9–4.9)4.5 (4.0–4.7)4.6 (3.8–4.8)
 UPCR (g/g)0.3 (0.1–0.7)0.3 (0.2–1.0)1.0 (0.8–1.7)
 ACR (mg/g)67 (8.4–481)198 (73–962)719 (533–1196)
eGFR (mL/min/1.73 m2)97 (75–121)62 (51–85)47 (35–90)
Medication score1.5 (1–2)3 (2–3)3 (3–3)
eGFR slope (mL/min/1.73 m2/year)−0.1 (−1.1 to 1.3)4.2 (5.3 to3.6)7.0 (9.0 to5.6)
eGFR intercept (mL/min/1.73 m2)90 (70–124)63 (50–80)56 (45–82)

Continuous variables presented as median (25th–75th centile). Medication score defined as: 0, none; 1, ACE inhibitor or ARB; 2, ACE inhibitor plus ARB, or diuretic; 3, ACE inhibitor or ARB at maximum dose.

p<0.05 for differences in medians, comparing groups to reference (met UPCR goal and slope −2.0 mL/min.1.73 m2/year); with two-sample Wilcoxon rank-sum test (shown in bold).

UPCR goal defined as UPCR at first treatment visit ≤0.5 g/g, or averaged treatment UPCR ≤ 50% of baseline UPCR (visit–3), or averaged treatment UPCR <0.5 g/g. ARB, angiotensin type 1 receptor blocker; ACR, albumin to creatinine ratio; eGFR, estimated glomerular filtration rate; ERT, enzyme replacement therapy; UPCR, urinary protein to creatinine ratio (g/g).

Characteristics for all participants: stratified by UPCR goal and eGFR slope at −2.0 mL/min/1.73 m2/year Continuous variables presented as median (25th–75th centile). Medication score defined as: 0, none; 1, ACE inhibitor or ARB; 2, ACE inhibitor plus ARB, or diuretic; 3, ACE inhibitor or ARB at maximum dose. p<0.05 for differences in medians, comparing groups to reference (met UPCR goal and slope −2.0 mL/min.1.73 m2/year); with two-sample Wilcoxon rank-sum test (shown in bold). UPCR goal defined as UPCR at first treatment visit ≤0.5 g/g, or averaged treatment UPCR ≤ 50% of baseline UPCR (visit–3), or averaged treatment UPCR <0.5 g/g. ARB, angiotensin type 1 receptor blocker; ACR, albumin to creatinine ratio; eGFR, estimated glomerular filtration rate; ERT, enzyme replacement therapy; UPCR, urinary protein to creatinine ratio (g/g). For the group of six participants that did not meet the UPCR goal (open box), the slope was −7.0 (95% CI −9.0 to −5.6) mL/min/1.73 m2/year; none of them had an eGFR slope >−2 mL/min/1.73 m2/year. The group of six who met the UPCR goal and had preserved renal function (eGFR slope >−2 mL/min/1.73 m2) received significantly fewer medications than the other groups (table 3). Poisson regression analysis was done for the 18 participants who met the UPCR goal, stratified by eGFR slope >−2.0 or ≤2.0 mL/min/1.73 m2/year (table 4).
Table 4

Poisson regression analysis of eGFR slope at −2.0 mL/min/1.73 m2/year for 18 participants who met the UCPR goal

VariableRelative risk95% CIp Value
Age: ERT started (years)1.0721.008 to 1.1390.026
Interval: ERT start to visit 0 (years)0.8810.771 to 1.0060.062
Average systolic blood pressure (mm Hg)1.0110.991 to 1.0330.287
Average UPCR during treatment (mg/g)1.4790.630 to 3.4680.369
Male gender1.1300.637 to 2.0050.675
Medication score1.3920.859 to 2.2540.179

Relative risk presented as ratios (95% CI). Medication score defined as: 0, none; 1, ACE inhibitor or ARB; 2, ACE inhibitor plus ARB, or diuretic; 3, ACE inhibitor or ARB at maximum dose. p<0.05 for risk ratios from Poisson regression model (shown in bold).

ARB, angiotensin type 1 receptor blocker; eGFR, estimated glomerular filtration rate; ERT, enzyme replacement therapy; UPCR, urinary protein to creatinine ratio (g/g).

Poisson regression analysis of eGFR slope at −2.0 mL/min/1.73 m2/year for 18 participants who met the UCPR goal Relative risk presented as ratios (95% CI). Medication score defined as: 0, none; 1, ACE inhibitor or ARB; 2, ACE inhibitor plus ARB, or diuretic; 3, ACE inhibitor or ARB at maximum dose. p<0.05 for risk ratios from Poisson regression model (shown in bold). ARB, angiotensin type 1 receptor blocker; eGFR, estimated glomerular filtration rate; ERT, enzyme replacement therapy; UPCR, urinary protein to creatinine ratio (g/g). Univariate analysis was carried out for each of the average values of the predictor variables shown in table 3. The variables included in the final model were age at which ERT was started, duration of ERT treatment before enrolment, average systolic blood pressure during the treatment phase, average UPCR during the treatment phase, gender and medication score. The only significant predictor of preserved kidney function was the age at which agalsidase-beta treatment was started. The median age at which ERT was started for the six patients who had eGFR slope >−2.0 mL/min/1.73 m2 was 37.9 (30.3–46.1) years and 45.1 (40.4–49.2) years (table 3).

Adverse events

Online supplementary table 3 summarises the participants by UPCR goal and eGFR slope. Hyperkalaemia (>5.5 mEq/L) occurring in seven participants was managed with dietary modification and reduction in ACE inhibitor or ARB dose. Hypotension also occurred in other eight participants and was managed with dosing modification. There were not any serious consequences attributed at the study sites to hyperkalaemia or hypotension.

Discussion

Seventy-five per cent of FAACET participants receiving agalsidase-beta treatment at 1 mg/kg every other week achieved the UPCR goal with manageable side effects during treatment with antiproteinuric agents. These patients had severe Fabry disease with overt proteinuria and cardiac involvement (online supplementary table 2). Control of UCPR to the a priori treatment goal was associated with a rate of eGFR decline of −3.6 mL/min/1.73 m2/year compared with −7.0 mL/min/1.73 m2/year for the participants that did not meet the UPCR treatment goal. Previous descriptions of classical Fabry treated with agalsidase-beta but for whom urinary protein excretion was not controlled reported rates of eGFR decline that were similar to the FAACET participants who did not meet the UPCR goal.11 13 19 20 A previous single-centre experience reported that control of UPCR to a goal of <0.5 g/g in seven patients (six males and one female) with severe Fabry nephropathy was associated with stabilisation of kidney function in six patients (median slope −0.23 mL/min/1.73 m2/year),14 similar to the eGFR slope observed in six participants in the current trial who met the UPCR goal and had stabilisation of their renal function. In contrast, one patient in the previous study did not have kidney function stabilisation despite control of the UPCR.14 Germain et al12 recently published a 10-year follow-up of the original phase III cohort treated with agalsidase-beta. Several important points emerged from that analysis, which are confirmed by the present findings. Disease progression rates for patients with low renal involvement (LRI, n=32) or high renal involvement (HRI, n=20) at baseline were assessed, where the LRI group had average UPCR identical to the UPCR goal in the current study. The HRI group had UPCR >1.0 g/g at baseline as well as significant degree of glomerular sclerosis at baseline renal biopsy.11 12 Patients in the LRI group (mean age 25 years at baseline) experienced some loss of eGFR (−1.89 mL/min/1.73 m2/year) over the 10-year follow-up. Renal disease progression seems to be related, at least in part, to the severity of the disease before treatment. LRI patients with UPCR ≤0.5 g/g throughout the treatment period progressed at a slower rate compared with HRI patients with UPCR >0.5 g/g during the treatment period. HRI patients began treatment with agalsidase-beta at a mean age of 38 years, and rates of decline in kidney function (eGFR slope: −6.82 mL/min/1.73 m2/year) that were similar to the six participants in the current report that did not meet the UPCR goal. These results support the recommendation that agalsidase-beta therapy be started before there is significant structural damage, including podocyte loss, glomerulosclerosis, interstitial fibrosis and proteinuria.21 22 More aggressive approaches have been tried to control the proteinuria in high-risk group Fabry patients,23 24 including the use of weekly rather than every other week ERT dosing.25 In addition, neutralising antibodies directed against agalsidase-beta may be another factor that may limit the success in controlling proteinuria and/or stabilising renal function.26 The importance of the age at which ERT is initiated was recently emphasised12 and is confirmed by the present findings, suggesting that severe underlying changes in renal structure21 may limit the beneficial effects of controlling urine protein excretion. Regression analysis (table 4) showed that the age at which ERT was started was the only significant factor associated with risk of renal progression in patients for whom ACE inhibitor or ARB therapy controlled the average UPCR to ≤0.5 g/g, thus confirming and extending the recent report from Germain et al.12 The eGFR slope was significantly worse in the six patients who did not achieve the goal for controlling proteinuria using ACE inhibitor and/or ARB (table 1). Alternative approaches could be considered for these patients,23 24 as well as directly assessing the severity of the renal pathology. Endothelial dysfunction27 and autonomic insufficiency28 are features of classical Fabry disease, which may explain why some patients had treatment-related side effects with antiproteinuria agents. Despite these side effects, control of proteinuria to the target was achieved in 18/24 patients in the study. The treatment goal for controlling proteinuria to 0.5 g/day was based on a meta-analysis of non-Fabry patients with proteinuria and chronic kidney disease.29 Current consensus is lacking about the treatment goal for controlling proteinuria in any form of chronic kidney disease; recent experiences with aggressive treatment regimens with combined agents in type 2 diabetes have been disappointing.30 There are important limitations of the FAACET study, including non-randomised study design, lack of a washout period for antiproteinuric therapy before enrolment, lack of a concurrent control group, an open-label study design and the use of historical values for defining eligibility for the study. There was not a uniform approach to the use of antiproteinuric agents, which reflected the standard of care at each study site. None of the participants had baseline renal biopsies to assess the severity of baseline kidney involvement, but based on their baseline eGFR and urine protein measurements, both males and females had severe kidney disease at the time of enrolment.19 In view of the lifelong burden of Fabry disease, the short-term follow-up in the present study is an important limitation to keep in mind. In summary, urine protein excretion can be controlled in the majority of classical Fabry patients with antiproteinuric therapy. Kidney function was not preserved in patients who did not achieve the UPCR treatment goal. Stabilisation of kidney function was only achieved in a minority of patients who were younger at the time they started ERT. Careful dose titration is needed to avoid adverse effects that included hypotension and hyperkalaemia, similar to other forms of advanced kidney disease.
  29 in total

1.  Assessing kidney function--measured and estimated glomerular filtration rate.

Authors:  Lesley A Stevens; Josef Coresh; Tom Greene; Andrew S Levey
Journal:  N Engl J Med       Date:  2006-06-08       Impact factor: 91.245

2.  Safety and efficacy of recombinant human alpha-galactosidase A replacement therapy in Fabry's disease.

Authors:  C M Eng; N Guffon; W R Wilcox; D P Germain; P Lee; S Waldek; L Caplan; G E Linthorst; R J Desnick
Journal:  N Engl J Med       Date:  2001-07-05       Impact factor: 91.245

3.  Serum-Mediated Inhibition of Enzyme Replacement Therapy in Fabry Disease.

Authors:  Malte Lenders; Jörg Stypmann; Thomas Duning; Boris Schmitz; Stefan-Martin Brand; Eva Brand
Journal:  J Am Soc Nephrol       Date:  2015-04-30       Impact factor: 10.121

4.  X-chromosome inactivation in female patients with Fabry disease.

Authors:  L Echevarria; K Benistan; A Toussaint; O Dubourg; A A Hagege; D Eladari; F Jabbour; C Beldjord; P De Mazancourt; D P Germain
Journal:  Clin Genet       Date:  2015-06-22       Impact factor: 4.438

5.  Prognostic indicators of renal disease progression in adults with Fabry disease: natural history data from the Fabry Registry.

Authors:  Christoph Wanner; João P Oliveira; Alberto Ortiz; Michael Mauer; Dominique P Germain; Gabor E Linthorst; Andreas L Serra; László Maródi; Renzo Mignani; Bruno Cianciaruso; Bojan Vujkovac; Roberta Lemay; Dana Beitner-Johnson; Stephen Waldek; David G Warnock
Journal:  Clin J Am Soc Nephrol       Date:  2010-09-02       Impact factor: 8.237

6.  Antiproteinuric therapy and fabry nephropathy: sustained reduction of proteinuria in patients receiving enzyme replacement therapy with agalsidase-beta.

Authors:  Hindia Tahir; Leslie L Jackson; David G Warnock
Journal:  J Am Soc Nephrol       Date:  2007-07-26       Impact factor: 10.121

7.  Life expectancy and cause of death in males and females with Fabry disease: findings from the Fabry Registry.

Authors:  Stephen Waldek; Manesh R Patel; Maryam Banikazemi; Roberta Lemay; Philip Lee
Journal:  Genet Med       Date:  2009-11       Impact factor: 8.822

8.  Ten-year outcome of enzyme replacement therapy with agalsidase beta in patients with Fabry disease.

Authors:  Dominique P Germain; Joel Charrow; Robert J Desnick; Nathalie Guffon; Judy Kempf; Robin H Lachmann; Roberta Lemay; Gabor E Linthorst; Seymour Packman; C Ronald Scott; Stephen Waldek; David G Warnock; Neal J Weinreb; William R Wilcox
Journal:  J Med Genet       Date:  2015-03-20       Impact factor: 6.318

9.  Amiloride as an Alternate Adjuvant Antiproteinuric Agent in Fabry Disease: The Potential Roles of Plasmin and uPAR.

Authors:  H Trimarchi; M Forrester; F Lombi; V Pomeranz; M S Raña; A Karl; J Andrews
Journal:  Case Rep Nephrol       Date:  2014-05-15

10.  Long-term outcome of enzyme-replacement therapy in advanced Fabry disease: evidence for disease progression towards serious complications.

Authors:  F Weidemann; M Niemann; S Störk; F Breunig; M Beer; C Sommer; S Herrmann; G Ertl; C Wanner
Journal:  J Intern Med       Date:  2013-05-06       Impact factor: 8.989

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  16 in total

Review 1.  Effects of Enzyme Replacement Therapy and Antidrug Antibodies in Patients with Fabry Disease.

Authors:  Malte Lenders; Eva Brand
Journal:  J Am Soc Nephrol       Date:  2018-08-09       Impact factor: 10.121

2.  The Changing Landscape of Fabry Disease.

Authors:  Einar Svarstad; Hans Peter Marti
Journal:  Clin J Am Soc Nephrol       Date:  2020-03-04       Impact factor: 8.237

Review 3.  Contemporary therapeutics and new drug developments for treatment of Fabry disease: a narrative review.

Authors:  Daniel Oder; Jonas Müntze; Peter Nordbeck
Journal:  Cardiovasc Diagn Ther       Date:  2021-04

4.  A case of female Fabry disease revealed by renal biopsy.

Authors:  Sae Aratani; Hiroyuki Yamakawa; Shinya Suzuki; Tomoyuki Otsuka; Yukinao Sakai; Akira Shimizu; Shuichi Tsuruoka
Journal:  CEN Case Rep       Date:  2019-09-21

5.  Clinical course and pathological findings of two late-onset Fabry hemizygous patients including mulberry cell counts after enzyme replacement therapy.

Authors:  Homare Shimohata; Marina Yamashita; Kentaro Ohgi; Hiroshi Maruyama; Mamiko Takayasu; Kouichi Hirayama; Masaki Kobayashi
Journal:  CEN Case Rep       Date:  2020-03-18

Review 6.  Fabry Disease: The Current Treatment Landscape.

Authors:  Malte Lenders; Eva Brand
Journal:  Drugs       Date:  2021-03-15       Impact factor: 9.546

Review 7.  Fabry Disease and the Heart: A Comprehensive Review.

Authors:  Olga Azevedo; Filipa Cordeiro; Miguel Fernandes Gago; Gabriel Miltenberger-Miltenyi; Catarina Ferreira; Nuno Sousa; Damião Cunha
Journal:  Int J Mol Sci       Date:  2021-04-23       Impact factor: 5.923

8.  Brazilian consensus recommendations for the diagnosis, screening, and treatment of individuals with fabry disease: Committee for Rare Diseases - Brazilian Society of Nephrology/2021.

Authors:  Cassiano Augusto Braga Silva; Luis Gustavo Modelli de Andrade; Maria Helena Vaisbich; Fellype de Carvalho Barreto
Journal:  J Bras Nefrol       Date:  2022 Apr-Jun

Review 9.  The effect of enzyme replacement therapy on clinical outcomes in male patients with Fabry disease: A systematic literature review by a European panel of experts.

Authors:  Dominique P Germain; Perry M Elliott; Bruno Falissard; Victor V Fomin; Max J Hilz; Ana Jovanovic; Ilkka Kantola; Aleš Linhart; Renzo Mignani; Mehdi Namdar; Albina Nowak; João-Paulo Oliveira; Maurizio Pieroni; Miguel Viana-Baptista; Christoph Wanner; Marco Spada
Journal:  Mol Genet Metab Rep       Date:  2019-02-06

10.  Retrospective study of long-term outcomes of enzyme replacement therapy in Fabry disease: Analysis of prognostic factors.

Authors:  Maarten Arends; Marieke Biegstraaten; Derralynn A Hughes; Atul Mehta; Perry M Elliott; Daniel Oder; Oliver T Watkinson; Frédéric M Vaz; André B P van Kuilenburg; Christoph Wanner; Carla E M Hollak
Journal:  PLoS One       Date:  2017-08-01       Impact factor: 3.240

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