Bayesian model of disease progression in GNE myopathy

One Sentence Summary: A Bayesian repeated measures model based on quantitative muscle strength data from a prospective Natural History Study was developed to determine disease progression and design clinical trials for GNE myopathy, a rare and slowly progressive muscle disease. GNE myopathy is a rare muscle disease characterized by slowly progressive weakness and atrophy of skeletal muscles. To address the significant challenges of defining the natural history and designing clinical trials for GNE myopathy, we developed a Bayesian latent variable repeated measures model to determine disease progression. The model is based on longitudinal quantitative muscle strength data collected as part of a prospective Natural History Study. The GNE Myopathy Progression Model provides an understanding of disease progression that would have otherwise required a natural history of unfeasible duration. "Disease age," the model-generated measure of disease progression, highly correlates with a variety of clinical, functional and patient-reported outcomes. With the incorporation of a treatment effect parameter to the GNE Disease Progression Model, we describe a novel GNE Myopathy Disease Modification Analysis that significantly increases power and reduces the number of subjects required to test the effectiveness of novel therapies when compared to more traditional analysis methods. The GNE Myopathy Disease Progression Model and Disease Modification Analysis can be applied to muscle diseases with prospectively collected muscle strength data, and a variety of rare and slowly progressive diseases.

Prevalence and determinants of fatigue in patients with moderate to severe chronic GvHD

Although fatigue is common after allogeneic hematopoietic cell transplantation, little is known about fatigue in patients with chronic GvHD (cGvHD). The aim of this study was to explore factors associated with fatigue in cGvHD. Data were drawn from a sequentially recruited, cross-sectional study of adults with moderate or severe cGvHD (n=263). Respondents were classified as fatigued or not fatigued based on their response to a single item regarding loss of energy from the Lee cGvHD Symptom Scale. In univariate analysis, factors significantly associated with fatigue included performance status, number of prior cGvHD therapies, cGvHD symptom bother, self-assessed physical and mental health, nutritional status, walk velocity and self-reported physical activity. There were no significant associations between fatigue and disease-related cGvHD variables. Multivariable logistic regression demonstrated that being less active and having pulmonary and/or muscle/joint symptoms were independently associated with fatigue. In conclusion, clinically significant fatigue was prevalent in more than one-third of subjects with cGvHD, and was disabling. Absence of association with measures of cGvHD severity underscores the need to elucidate the pathogenesis of fatigue and its relationship with inflammatory activity. Pulmonary and muscle/joint symptoms and physical inactivity represent potential targets for intervention in clinical studies.

NIH response criteria measures are associated with important parameters of disease severity in patients with chronic GVHD

Lack of standardized criteria measuring therapeutic response remains an obstacle to the development of better treatments for chronic GVHD (cGVHD). This cross-sectional prospective study examined the concurrent and predictive validity of 18 clinician-reported ('Form A') and 8 patient-reported ('Form B') response measures proposed by NIH criteria. Concurrent parameters of interest were NIH global score, cGVHD activity, Lee symptom score and SF36 PCS. Patient cohort included 193 adults with moderate-to-severe cGVHD. Measures associated with the highest number of outcomes were lung function score (LFS), 2-min walk, grip strength, 4-point health-care provider (HCP) and patient global scores, 11-point clinician- and patient-reported global symptom severity scores, and Karnofsky performance score (KPS). Measures associated with survival in univariate analyses led to a Cox model containing skin erythema, LFS, KPS, eosinophil count and interval from cGVHD diagnosis to enrollment as jointly associated with survival. In conclusion, 4-point HCP and patient global scores and 11-point clinician- and patient-reported global symptom severity scores are associated with the majority of concurrent outcomes. Skin erythema is a potentially reversible sign of cGVHD that is associated with survival. These results define a subset of measures that should be prioritized for evaluation in future studies.