Background: The Disease Severity Scoring System (DS3) is a validated measure for evaluating Gaucher disease type 1 (GD1) severity. We developed a new framework, consisting of health states, transition probabilities between those states, and preferences for those states (utilities) based on the DS3 to predict long-term outcomes of patients starting treatment. We defined nine mutually exclusive (alive) health states based on three DS3 categories: mild (0 ≤ DS3 ≤ 3.5) without symptoms of bone disease; mild with bone pain, mild with severe skeletal complications (SSC) defined as lytic lesions, avascular necrosis, or fracture; moderate (3.5 < DS3 ≤ 6.5) without SSC; moderate with SSC; marked (6.5 < DS3 ≤ 9.5) without SSC; marked with SSC; severe (9.5 < DS3 ≤ 19) without SSC; and severe with SSC. Health-state transition probabilities and utilities were estimated from a longitudinal sample of patients with GD1 who started enzyme replacement therapy (the DS3 Score Study). Age dependent GD1-specific mortality was derived from published data. We used a Markov state-transition model to illustrate how to estimate time spent in each health state.
Results: The average predicted utilities for each health state ranged from 0.76 for mild disease with no clinical symptoms of bone disease to 0.52 with severe disease with SSC. Transition probabilities depended on disease severity (DS3 score) at treatment initiation and whether patients had undergone a total splenectomy or had an intact spleen/partial splenectomy prior to starting treatment. Patients who started treatment with intact or residual spleens spent more time in better health states than those who started treatment with total splenectomy.
Conclusions: This new framework, which is based on the DS3, can be used to project the long-term outcomes of GD1 patients starting treatment. The framework could also be used to compare the long-term outcomes of different GD1 treatment options.
Trial Registration: NCT01136304 . Registered: May 31, 2010 (retrospectively registered).
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http://dx.doi.org/10.1186/s13023-017-0592-6 | DOI Listing |
Hemasphere
January 2025
Hematology Unit, AOU delle Marche Ancona Italy.
Biochem Biophys Rep
December 2024
Department of Medical Genetics, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Gaucher disease (GD) is a metabolic disorder caused by mutations in the , located on 1q22. This gene encodes glucocerebrosidase (glucosylceramidase) enzyme. GD has a wide range of clinical manifestations from a perinatally lethal type to an asymptomatic form.
View Article and Find Full Text PDFCalcif Tissue Int
January 2025
Fondazione FIRMO Onlus, Italian Foundation for the Research On Bone Diseases, Florence, Italy.
Gaucher disease is a rare lysosomal storage disorder characterized by the accumulation of glucocerebroside lipids within multiple organs due to a deficiency of the lysosomal enzyme (acid β-glucosidase). It is an inherited autosomal recessive disease. The onset of symptoms can vary depending on disease type and severity, with milder forms presenting in adulthood.
View Article and Find Full Text PDFJ Bone Miner Metab
January 2025
Medical Faculty, Department of Pediatric Metabolism and Nutrition, Ege University, Izmir, 35040, Turkey.
Introduction: Gaucher disease (GD) is a lysosomal storage disorder causing systemic and skeletal complications. This study evaluates bone health in adult GD type 1 patients, focusing on skeletal complications, bone mineral density (BMD), and biochemical markers.
Material And Methods: A cohort of adult GD type 1 patients followed up at Ege University Pediatric Metabolism Department were retrospectively examined.
J Inherit Metab Dis
January 2025
Department of Life Sciences, Manchester Metropolitan University, Manchester, UK.
There are currently at least 70 characterised lysosomal storage diseases (LSD) resultant from inherited single-gene defects. Of these, at least 30 present with central nervous system (CNS) neurodegeneration and overlapping aetiology. Substrate accumulation and dysfunctional neuronal lysosomes are common denominator, but how variants in 30 different genes converge on this central cellular phenotype is unclear.
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