Clinical assessment of upper airway and its complications in Hunter syndrome.

BACKGROUND: Hunter syndrome (HS) is an X-linked, recessive, lysosomal storage disease caused by a deficiency of the lysosomal enzyme, iduronate sulfatase (IDS). It is characterized by multisystem accumulations of glycosaminoglycans and upper airway obstruction is one of the major causes of death. While the current disease severity classifications for HS are mainly based on the degree of neurocognitive impairment, its association with the level of upper airway obstruction has not been assessed. METHODS: A retrospective chart review of HS patients who were followed at the Jikei University School of Medicine was performed. Association between the degree of airway obstruction and the currently used disease severity scores was evaluated. RESULTS: We identified eight HS patients and they were enrolled in the study. The Modified Mallampati classification (MMC) score, used to predict difficulties for oropharyngeal procedures, was significantly correlated with the HS severity. It was also correlated with the Apnea-Hypopnea Index (AHI). No significant correlation between IDS enzymatic activity and the severity of HS disease was identified. CONCLUSIONS: Variable clinical expressivities exist in HS, but the risk of respiratory complications is likely to be associated with disease severity, assessed by the previously recognized neurocognitive function-based severity scoring systems. MMC can be a simple supplementary tool to evaluate disease severity as well as predict difficulties for oropharyngeal procedures and respiratory function complications in HS, such as sleep apnea.

Assessment of musculoskeletal abnormalities in children with mucopolysaccharidoses using pGALS.

BACKGROUND: Children with mucopolysaccharidoses (MPS) often have musculoskeletal (MSK) abnormalities. Paediatric Gait, Arms, Legs, and Spine (pGALS), is a simple MSK assessment validated in school-age children to detect abnormal joints. We aimed to identify MSK abnormalities in children with MPS performing pGALS. METHODS: Videos of children with a spectrum of MPS performing pGALS were analysed. A piloted proforma to record abnormalities for each pGALS manoeuvre observed in the videos (scored as normal/abnormal/not assessable) was used by three observers blinded to MPS subtype. Videos were scored independently and rescored for intra- and inter-observer consistency. Data were pooled and analysed. RESULTS: Eighteen videos of children [12 boys, 6 girls, median age 11 years (4-19)] with MPS (13 type I [5 Hurler, 8 attenuated type I]; 4 type II; 1 mannosidosis) were assessed. The most common abnormalities detected using pGALS were restrictions of the shoulder, elbow, wrist, jaw (>75% cases), and fingers (2/3 cases). Mean intra-observer Κ 0.74 (range 0.65-0.88) and inter-observer Κ 0.62 (range 0.51-0.77). Hip manoeuvres were not clearly demonstrated in the videos. CONCLUSIONS: In this observational study, pGALS identifies MSK abnormalities in children with MPS. Restricted joint movement (especially upper limb) was a consistent finding. Future work includes pGALS assessment of the hip and testing pGALS in further children with attenuated MPS type I. The use of pGALS and awareness of patterns of joint involvement may be a useful adjunct to facilitate earlier recognition of these rare conditions and ultimately access to specialist care.

Development of the multi-attribute Adolescent Health Utility Measure (AHUM).

OBJECTIVE: Obtain utilities (preferences) for a generalizable set of health states experienced by older children and adolescents who receive therapy for chronic health conditions. METHODS: A health state classification system, the Adolescent Health Utility Measure (AHUM), was developed based on generic health status measures and input from children with Hunter syndrome and their caregivers. The AHUM contains six dimensions with 4-7 severity levels: self-care, pain, mobility, strenuous activities, self-image, and health perceptions. Using the time trade off (TTO) approach, a UK population sample provided utilities for 62 of 16,800 AHUM states. A mixed effects model was used to estimate utilities for the AHUM states. The AHUM was applied to trial NCT00069641 of idursulfase for Hunter syndrome and its extension (NCT00630747). RESULTS: Observations (i.e., utilities) totaled 3,744 (12*312 participants), with between 43 to 60 for each health state except for the best and worst states which had 312 observations. The mean utilities for the best and worst AHUM states were 0.99 and 0.41, respectively. The random effects model was statistically significant (p < 0.0001; adjusted R2 = 0.361; RMSE = 0.194). When AHUM utilities were applied to the idursulfase trial, mean utilities in the idursulfase weekly and placebo groups improved +0.087 and +0.006, respectively, from baseline to week 53. In the extension, when all patients received idursulfase, the utilities in the treatment group remained stable and the placebo group improved +0.039. DISCUSSION: The AHUM health state classification system may be used in future research to enable calculation of quality-adjust life expectancy for applicable health conditions.