Literature DB >> 31886335

Data in support of the longitudinal characterization of pulmonary function in children with Mucopolysaccharidoses IVA.

Johnny J Kenth1,2,3, Gabrielle Thompson3, Stuart Wilkinson4, Simon Jones2,5, I A Bruce2,3.   

Abstract

Mucopolysaccharidoses type IVA (Morquio disease) is a rare, autosomal recessive lysosomal storage disease that causes both obstructive and restrictive airway pathology, with respiratory failure being the primary cause of death. This article provides original data on the longitudinal characterization of pulmonary function changes in children with Mucopolysaccharidoses (MPS) IVA by presenting the data and nuanced trends of changes from sequential spirometry and oximetry. The sample size included 16 subjects, 13 had undergone enzyme replacement therapy (ERT), three had not undergone ERT treatment. A total of 180 individual plots are presented for spirometry variables (FEV1, FEV1 [%Pred] FVC, FVC [%Pred] and FEV1/FVC), 6MWT and oximetry variables (median %Spo2, ODI 3%, mean nadir 3%, ODI 4%, mean nadir 4% and min dip SpO2 [%]); over a nine-year period at a single quaternary paediatric metabolic centre. This data has been made public and has utility to clinicians and researchers due to the following: [1,2] by providing the first comprehensive report of detailed changes in pulmonary function in children with MPS IVA, with and without ERT; [1-3] as well as changes in pulmonary function following the institution of non-invasive ventilation (NIV) and adenotonsillectomy. The data presented is related to the research article by Kenth et al. "The Characterization of Pulmonary Function in Patients with Mucopolysaccharidoses IVA: A Longitudinal Analysis". Crown
Copyright © 2019 Published by Elsevier Inc.

Entities:  

Keywords:  Enzyme replacement therapy; MPS; Morquio syndrome; Mucopolysaccharidosis IVA; Respiratory changes; Sleep-disordered breathing

Year:  2019        PMID: 31886335      PMCID: PMC6920461          DOI: 10.1016/j.dib.2019.104756

Source DB:  PubMed          Journal:  Data Brief        ISSN: 2352-3409


6-minute walk test Activities of daily living Adverse Events Chondroitin Sulphate Enzyme replacement therapy Forced expiratory volume in one second FEV1 as a percentage of predicted Forced vital capacity [%Pred]FVC as a percentage of predicted Glycosaminoglycan Acetylgalactosamine-6-sulfatase Keratan sulphate Lysosomal storage disease Mucopolysaccharidosis IVA Median nadir of arterial oxygen saturations 3% from baseline Minimum dips in arterial oxygen saturations [%] Oxygen desaturation index; ≥ 3% arterial oxygen desaturations/hour Specifications Table The data presented are the first comparison of enzyme replacement therapy (ERT) and non-ERT treated, in terms of the long-term decline in pulmonary function. The data is grounded from longitudinal, standardized, repeated measurements taken from spirometry and oximetry studies. The data is the first to report on the long-term changes in pulmonary function after an intervention such as non-invasive ventilation (NIV) and adenotonsillectomy. These data are useful to clinicians and researchers evaluating the safety and efficacy of ERT on children with MPS IVA, especially within the context of evaluating airway respiratory changes.

Data

We present original data from a retrospective, longitudinal, repeated-measures cohort study, where descriptive statistics and non-parametric correlation were performed for demographic, respiratory function and oximetry (sleep studies) variables over a study period from January 2009 to December 2018. Composite clinical endpoints used in this study for evaluating pulmonary function included spirometry variables (FEV1, FEV1 [%Pred] FVC, FVC [%Pred] and FEV1/FVC), 6MWT and oximetry variables (median %Spo2, ODI 3%, mean nadir 3%, ODI 4%, mean nadir 4% and min dip SpO2 [%]). The data are supplemental to our study “The Characterization of Pulmonary Function in Patients with Mucopolysaccharidoses IVA: A Longitudinal Analysis” by Kenth et al. [1].

Baseline demographics

Thirteen children underwent ERT, whereas the non-ERT arms had 3 children. The median age at diagnosis was 34 months (range: 14–161; IQR 62.75). The Presenting symptoms included: difficulty walking (7), gibbus deformity (4), kyphoscoliosis (1) and chest-wall deformity (1). Consanguinity of parents was present in 12.5 [2/16] of patients. The median age of commencing ERT was 78 months (IQR 77.5; 10th percentile 38.4, 90th percentile 179.8). The study included 44% of males (7/16) and 56% of females (9/16). The following patterns of genetic abnormalities were present (see Table 1), heterozygous p. (Gly155Arg), c.423-11_425del14/c.860C > T, heterozygous l113F, Y240C, heterozygous p. (l113F) and p. (R386H), heterozygous p. (arg251Ter), heterozygous p. (tyr254cys) and p. (Gln311Pro), heterozygous p. (w141×), heterozygous p. (His166Arg), heterozygous p. (A291T) with no discernible differences between the ERT treated and non-ERT treated groups. Table 1 illustrates the baseline demographics, including age at diagnosis, gender, parental consanguinity, what the presenting symptom was, the genetic mutation identified, the date when ERT therapy commenced (if applicable). Data are also presented on the age at first spirometry and oximetry, the presence of obstructive sleep apnoea, whether the patients had undergone an adenotonsillectomy and the institution on non-invasive, bi-level positive pressure ventilation (BIPAP).
Table 1

Baseline demographics.

PatientPresentationAge at DiagnosisaConsanguinitySexGeneticsAge ERT startedaAge at 1st spirometryaAge at 1st oximetryaOSAAdeno-tonsillectomyBIPAP
ERT treated subjects
ADifficulty walking37NoFHeterozygous p.(Gly155Arg)435138NoNoNo
BGibbus27NoMHomozygous p.(A291T)112105106YesYes (72, 147)Yes
CGibbus22N/AMNot recognised gene397139Yes(41)No
DDifficulty walking18NoMHomogenous p.(w141×)789188YesNoYes
EDifficulty walking, scoliosis30N/AFN/A676767NoNoNo
FChest deformity43NoFHeterozygous p.(arg251Ter)6912474YesYes (121)No
GN/A132NoMHomozygous p.(A291T)78132122YesYes (70, 142)Yes
HN/A35N/AFc.423-11_425del14/c.860C > T3848YesYes (32, 51, 89)No
IFamily history, chest deformity31NoMHetero/l113F, Y240C183155155YesYes (36)No
JDifficulty walking131YesFHomozygous p. (His166Arg)175141133YesNoNo
KGibbus14NoMHeterogenous p. (l113F) and p. (R386H)438224YesYes (35)No
LDifficulty walking73NoFHeterozygous p.(tyr254cys) and p. (Gln311Pro)108118105NoNoNo
MGibbus, stiff joints33YesFHomozygous p.(A291T)129101100NoYes (121)No
Non ERT treated subjects
NDifficulty walking29NoMHomogenous p.(Ser264Asn)N/A10231YesNoYes
OGrowth, skeletal dysplasia96N/AFHomogenous p. (Gly116Val)N/A10298YesYes (134)Yes
PDifficulty walking161N/AFHeterozygous p.901G > T (Gly301Cys)N/A160N/ANoNoNo

Table 1 above illustrates the baseline demographics of the 16 subjects, including age at diagnosis, consanguinity, what the presenting symptom was, the genetic mutation identified, the date when ERT therapy commenced (if applicable), the age at first spirometry test and the age at first oximetry. We also record whether the child was diagnosed with obstructive sleep apnoea (OSA), if they had undergone an adenotonsillectomy and the whether the child had been instituted on non-invasive, bilevel ventilation (BIPAP).

All ages are reported in months.

Baseline demographics. Table 1 above illustrates the baseline demographics of the 16 subjects, including age at diagnosis, consanguinity, what the presenting symptom was, the genetic mutation identified, the date when ERT therapy commenced (if applicable), the age at first spirometry test and the age at first oximetry. We also record whether the child was diagnosed with obstructive sleep apnoea (OSA), if they had undergone an adenotonsillectomy and the whether the child had been instituted on non-invasive, bilevel ventilation (BIPAP). All ages are reported in months. Macroglossia was present in 44% of patients (7/16), video laryngoscopy was used in 68.8% [11/16] of cases. Mallampati score on airway assessment was as follows: grade 1 in 25% [4/16] of patients, grade 2a in 37.5% [6/16], grade 2b in 12.5% [2/16], grade 3 in 7.7% [1/16] and no grade recorded in 18.8% [3/16]. Clinical symptoms of OSA was present in 68.6% (11/16) of patients. 66.7% (10/15) of patients in the study had undergone an adenotonsillectomy. The median age of adenotonsillectomy was 80 (range: 35–147; IQR 87.3; 10th percentiles 35.4, 90th percentile, 145.5) with 3 patients had repeated procedures. 31.3% (5/16) of patients were on BIPAP; the median age of commencing BIPAP was 153 months (IQR 53). 75% (12/16) of patients had undergone orthopaedic interventions, this included: C-spine fixation and halo brace in 12.5% (2/16) and 31.3% (5/16) underwent hip replacement and epiphysiodesis (8-plate). Cardiac disease, as assessed by echocardiography was normal in 62.5% (10/16) of patients, pathology delineated included, a small patent ductus arteriosus (PDA) in 6.3% (1/16), small PDA, mild tricuspid regurgitation (TR) in 6.3% (1/16), physiological mitral (MR) in 6.3% (1/16), physiological TR + MR in 6.3% (1/16), dysplastic mitral and aortic valve in 6.3% (1/16).

Spirometry data

Table 2 summarises the median values, range and the overall trend for the changes in pulmonary function for each of the following variables: FEV1, FEV1 [%predicted], FVC, FVC [%predicted], FEV1/FVC ratio and the six-minute walking test (6MWT). Fig. 1, Fig. 2, Fig. 3, Fig. 4, Fig. 5, Fig. 6 illustrate the data for each subject as longitudinal trajectories over time. Each graph is clearly labelled with the metric being assessed as well as the subject from which the data was obtained from. Linear regression was calculated where appropriate and the R2 and intercept (y) were also recorded.
Table 2

Summary of spirometry data.

SubjectFEV1 [Litres]FEV1 [%pred.]FVC [Litres]FVC [%pred.]FEV1:FVC6MWT [Metres]
A0.60 [0.44–0.71] {↓}82 [61–83]{→}0.71 [0.61–0.73] {↑}83 [82–96]{↑}0.82 [0.72–1.0] {↓}253 [204–294 {↓}
B0.76 [0.59–0.04] {↓}66 [22–97]{↓}1.04 [0.92–1.18] {↑}79 [29–96]{↓}0.72 [0.53–0.92] {↓}317 [0–452]{↓}
C0.48 [0.33–0.58] {↑}60 [41–64]{→}0.52 [0.36–0.62]{↑}53 [38–59]{↑}0.94 [0.88–0.98] {→}180.5 [0–246] {↓}
D0.60 [0.41–0.67] {↓}75 [51–88]{↓}0.8 [0.59–0.85] {↑}83 [66–90]{↑}0.8 [0.4–0.97]{↓}N/A
E0.46 [0.31–0.64] {→}71 [28–87]{↓}0.51 [0.39–0.57 {↑}72 [43–90]{↓}0.94 [0.61–0.98] {↓}223 [100–349] {↓}
F0.66 [0.64–0.67] {↓}63 [60–66]{↓}0.96 [0.94–0.98] {↓}85 [82–88]{↓}0.682 [0.68–0.684] {↓}283 [159–318] {→}
G0.72 [0.57–0.84] {→}79 [32–101] {↓}0.93 [0.8–1.01] {↑}91.5 [47–109] {↓}0.68 [0.63–0.86] {→}305 [0–395]{↓}
I1.32 [1.23–1.43]{↑}95 [65–101]{↓}1.51 [1.33–1.73] {↑}88 [79-93{↓}0.91 [0.75–0.92] {↓}150 [0–300]{↓}
J2.07 [1.7–2.25] {↑}108 [96–122] {→}1.95 [1.31–2.56] {↑}102 [94–114] {→}0.91 [0.88–1.63] {→}241.5 [110–442] {↑}
K0.37 [0.2–0.4] {↑}44 [26–53]{→}0.42 [0.26–0.47] {↑}46 [29–47]{↑}0.83 [0.75–0.95] {→}397 [346–437] {→}
M0.66 [0.62–0.72] {↓}83 [62–96]{↓}0.78 [0.7–0.96 {↑}89 [81–90]{↑}0.85 [0.65–0.96] {↑}N/A
N0.27 [0.22–0.34] {↑}35 [29-44{↑}0.31 [0.25–0.37] {↑}36 [28–45]{↑}0.88 [0.87–0.92] {↑}N/A
O0.37 [0.2–0.42] {↓}49 [22–56]{↓}0.4 [0.31–0.48] {↓}49 [30–56]{↓}0.88 [0.65–0.95] {↓}N/A

Kenth et al. [1].

The table above illustrates the values for the 5 variables measured during spirometry for each subject - FEV1, Forced Expiratory Volume in the first second (Litres); FVC, Forced Vital Capacity, (Litres); as well as the six-minute walking test (6MWT). Median values are displayed in bold, minimum and maximum range are in square brackets. Curly braces {} denote the overall trends of the variable throughout the study: ↑, trend increased; ↓ trend decreased; →, no change. Subjects A-M (highlighted in yellow) were the ERT treated subjects, whilst subjects N and O (highlighted in pink) were untreated.

Fig. 1

Forced expiratory volume in 1 second (FEV1) changes.

The above graphs demonstrates each of the individual plots where constructed to ascertain the changes in pulmonary function over time for the given variable. The starting timepoint in the ERT group was shortly after ERT therapy had commenced. Data points are in blue and a line of best fit creating a regression line was created to ascertain the overall trend of whether there was a decline or improvement. For each of the regression curve the intercept and R2 value is sated under the curve. Note also, the solid red and orange bars, that mark when a therapeutic intervention was undertaken. The solid vertical, red line (−) indicates when adenotonsillectomy was undertaken and the orange line (−) illustrates when NIV was instituted. There was incomplete data for some individuals, as adenotonsillectomy was undertaken prior to formal diagnosis and thus full lung function tests would not of been undertaken at the time. Subjects A to M were ERT treated and data recorded was post commencing ERT therapy; subjects N and O were not ERT treated and data was recorded after diagnosis.

Fig. 2

FEV1 as percentage of predicted, (FEV1 [%pred]).

Fig. 3

Forced vital capacity (FVC).

Fig. 4

FVC [% predicted].

Fig. 5

FEV1/FVC ratio.

Fig. 6

Six minute walk test (6MWT).

The above graphs demonstrates each of the individual plots where constructed to ascertain the changes in pulmonary function over time for the given variable. Data points are in blue and a line of best fit creating a regression line was created to ascertain the overall trend of whether there was a decline or improvement. Note also, the solid red and orange bars, that mark when a therapeutic intervention was undertaken. The solid red line (−) indicates when adenotonsillectomy was undertaken and the orange line (−) illustrates when NIV was instituted.

Summary of spirometry data. Kenth et al. [1]. The table above illustrates the values for the 5 variables measured during spirometry for each subject - FEV1, Forced Expiratory Volume in the first second (Litres); FVC, Forced Vital Capacity, (Litres); as well as the six-minute walking test (6MWT). Median values are displayed in bold, minimum and maximum range are in square brackets. Curly braces {} denote the overall trends of the variable throughout the study: ↑, trend increased; ↓ trend decreased; →, no change. Subjects A-M (highlighted in yellow) were the ERT treated subjects, whilst subjects N and O (highlighted in pink) were untreated. Forced expiratory volume in 1 second (FEV1) changes. The above graphs demonstrates each of the individual plots where constructed to ascertain the changes in pulmonary function over time for the given variable. The starting timepoint in the ERT group was shortly after ERT therapy had commenced. Data points are in blue and a line of best fit creating a regression line was created to ascertain the overall trend of whether there was a decline or improvement. For each of the regression curve the intercept and R2 value is sated under the curve. Note also, the solid red and orange bars, that mark when a therapeutic intervention was undertaken. The solid vertical, red line (−) indicates when adenotonsillectomy was undertaken and the orange line (−) illustrates when NIV was instituted. There was incomplete data for some individuals, as adenotonsillectomy was undertaken prior to formal diagnosis and thus full lung function tests would not of been undertaken at the time. Subjects A to M were ERT treated and data recorded was post commencing ERT therapy; subjects N and O were not ERT treated and data was recorded after diagnosis. FEV1 as percentage of predicted, (FEV1 [%pred]). Forced vital capacity (FVC). FVC [% predicted]. FEV1/FVC ratio. Six minute walk test (6MWT). The above graphs demonstrates each of the individual plots where constructed to ascertain the changes in pulmonary function over time for the given variable. Data points are in blue and a line of best fit creating a regression line was created to ascertain the overall trend of whether there was a decline or improvement. Note also, the solid red and orange bars, that mark when a therapeutic intervention was undertaken. The solid red line (−) indicates when adenotonsillectomy was undertaken and the orange line (−) illustrates when NIV was instituted.

Oximetry data

Table 3 illustrates the median values, range and the overall trend for the changes in oximetry. These included data for median %Spo2, ODI 3%, mean nadir 3%, ODI 4%, mean nadir 4% and min dip SpO2 (%). Fig. 7, Fig. 8, Fig. 9, Fig. 10, Fig. 11, Fig. 12 illustrate the individual plots for each subject (labelled) over time. As above, linear regression was calculated where appropriate and the R2 and intercept (y) were also recorded.
Table 3

Summary of oximetry results.

SubjectOximetry Variable
Median %Spo2ODI 3%Mean Nadir 3%ODI 4%Mean Nadir 4%Min dip. SpO2 (%)
A97 [95.1–98] {→}3.5 [2–21.5] {→}91.9 [87.3–93.6] {↓}2.2 [1–13.9] {→}90.9 [86.2–92.4] {↓}83.6 [62–90.9] {→}
B95 [93–97]{↑}13.6 [2–51.2] {→}87.8 [85.6–93.5] {↑}7.5 [0.9–45.4] {→}87.8 [80–92.8] {↑}71 [52.5–87]{↑}
C94.9 [93.6–97.5] {→}8.3 [0.4–24.6] {↓}88.8 [84.5–90.4] {↓}6.5 [2.6–16.7] {→}87.9 [84.5–89.6] {↓}78 [61.4–87.9] {↓}
D95 [93.8–97] {↑}10 [4.6–25.7] {↑}89.1 [85.4–90.7] {→}6.6 [2.7–17.2] {↑}87.8 [84.6–89.8] {↑}71.3 [37.1–89.6] {↓}
E95.3 [95–96.5] {↑}2.5 [1.5–3.8] {↓}90.8 [89.5–94.3] {↑}1.6 [0.4–3.3] {↓}89.6 [87.6–90.3] {↑}85.5 [76.6–90.8] {→}
F95.3 [94.6–95.4] {→}9.2 [6.7–10.9] {↑}89.3 [89.2–90.8] {↓}6.8 [4–8]{↑}88.6 [87.9–89.6] {↓}83.9 [78.2–87.9] {↑}
G95.3 [94.1–97.3] {↑}10.5 [8–17.8] {↓}90.3 [88.2–91.6] {↑}7.8 [5–13.5] {→}89.1 [87.6–90.2] {↑}77.8 [82.9–90.2] {↑}
H97.4 [88.6–99] {↓}11.9 [5.7–21.8] {↑}87.5 [83.9–94.5] {→}6.9 [4.3–17] {↑}86.6 [83.1–92.6] {→}64 [49.9–86]{→}
I95.1 [94.6–97] {→}8.4 [8.3–9.8] {↓}89.8 [89.2–92] {↑}5.6 [4.6–6.6] {→}88.5 [88.1–90.4] {→}79 [62.5–79.5] {→}
J97.3 [95.8–99] {↑}2 [0.9–16.4] {↓}90.1 [89.2–94.6] {→}1.5 [0.4–9.3] {↓}90.4 [89.1–94.3] {→}84.6 [76–93.6] {↑}
K96.1 [95.1–97.1] {↓}4 [1.7–4.9]{↓}91.2 [89.9–92.5] {↓}2.2 [0.8–2.6] {→}90.7 [88.2–91.8] {↓}87.8 [73.2–89.1] {→}
M95.9 [94.3–97] {→}8.8 [7.2–12.9] {→}89.3 [88–93.2] {↑}6.4 [4.4–8.4] {→}88.3 [87–92.1] {↑}78 [72.8–92.1] {↑}
N98.6 [96–100] {→}3.5 [0.2–10.8] {↓}90.4 [82.3–91.9] {↓}2.7 [0–7.9]{→}89.1 [87.6–91] {↓}84.1 [73–91]{→}
O94.6 [86–98.9] {↓}9.9 [2–80.5] {↓}89.3 [88–94.4] {→}5.8 [0.8–89.6] {↓}88.1 [6.58–93.4] {↑}83.5 [66–89.2] {→}

Kenth et al. [1].

The table above illustrates the values for the 6 variables measured during oximetry testing for each subject. Median values are displayed in bold, minimum and maximum range are in square brackets. Curly braces {} denote the overall trends of the variable throughout the study: ↑, trend increased; ↓ trend decreased; →, no change in trend. ODI 3%, ≥3% arterial oxygen desaturations/hour; ODI 4%, ≥4% arterial oxygen desaturations/hour; min dip SpO2, minimum dips in oxygen saturations. Subjects A-M (highlighted in yellow) were the ERT treated subjects, whilst subjects N and O (highlighted in pink) were untreated.

Fig. 7

Median Spo2%.

Fig. 8

Oxygen desaturation index (ODI) 3% from baseline.

Fig. 9

Mean nadir 3%.

Fig. 10

Odi 4%.

Fig. 11

Mean nadir 4%.

Fig. 12

Minimum dips in % SpO2.

Summary of oximetry results. Kenth et al. [1]. The table above illustrates the values for the 6 variables measured during oximetry testing for each subject. Median values are displayed in bold, minimum and maximum range are in square brackets. Curly braces {} denote the overall trends of the variable throughout the study: ↑, trend increased; ↓ trend decreased; →, no change in trend. ODI 3%, ≥3% arterial oxygen desaturations/hour; ODI 4%, ≥4% arterial oxygen desaturations/hour; min dip SpO2, minimum dips in oxygen saturations. Subjects A-M (highlighted in yellow) were the ERT treated subjects, whilst subjects N and O (highlighted in pink) were untreated. Median Spo2%. Oxygen desaturation index (ODI) 3% from baseline. Mean nadir 3%. Odi 4%. Mean nadir 4%. Minimum dips in % SpO2.

Experimental design, materials, and methods

MPS IVA is associated with severe, debilitating airway and respiratory disease [1,2]. The methodology employed to assess pulmonary function in this study is validated by and aligned to The American Thoracic Society [3,4] and the British Thoracic Society guidance. The methodology used for oximetry as previously described by Pal et al. (2015) [5], based on the American Academy of Sleep Medicine (AASM) manual for the scoring of sleep and associated events [5,6]. Composite clinical endpoints used in this study for evaluating pulmonary function included spirometry variables (FEV1, FEV1 [%Pred] FVC, FVC [%Pred], FEV1/FVC); sleep studies oximetry variables (median %Spo2, ODI 3%, mean nadir 3%, ODI 4%, mean nadir 4% and min dip SpO2 (%)) and 6MWT for cardiorespiratory reserve. MPS IVA patients treated at the Royal Manchester Children's Hospital, Manchester (UK) between 2009 and 2018, were identified from an existing patient database and medical records. This yielded a study group of 16 subjects for whom long-term follow-up was available at a single centre. A retrospective review was undertaken of baseline demographics, spirometry and oximetry (sleep studies), ERT and other therapeutic interventions – including both medical and surgical measures. The data for each subject was tabulated and examined sequentially over the study period to provide a nuanced characterization of the changes in pulmonary function, evolution and natural history of disease progression. The subjects in this study included those from the MOR 100 phase 1 study (n = 5), MOR 005 phase III placebo-controlled (n = 5) and the MOR 007 trial (n = 6) [7].

Specifications Table

Subject areaBiology, Medicine
More specific subject areaInherited Metabolic Disorders
Type of dataTable, text file, graphs and figures
How data was acquiredFrom case notes, image archives and laboratory data to accrue baseline demographics, spirometry and oximetry measurements of MPS IVA patients.
Data formatRaw, filtered and analysed.
Experimental factorsBaseline demographics, longitudinal changes in spirometry and oximetry after enzyme replacement therapy; with mean ± SD, median (25th–75th percentile)
Experimental featuresLongitudinal retrospective study
Data source locationThe Royal Manchester Children's Hospital, Manchester. UK
Data accessibilityThe data are accessible within the articleAvailable from MendeleyKenth, Johnny; Wilkinson, Stuart; Jones, Simon; Bruce, Iain(2019), “The Characterisation of Pulmonary Function in Patients with Mucopolysaccharidoses IVA: A Longitudinal Analysis.“, Mendeley Data, v3https://doi.org/10.17632/wdsfn8wczc.3
Related research articleAuthor's name:Title: The Characterization of Pulmonary Function in Patients with Mucopolysaccharidoses IVA: A Longitudinal Analysis by Kenth et al. in Molecular Genetics and Metabolism, Elsevier (in press).Journal: Molecular Genetics and Metabolism ReportsDOI:https://doi.org/10.1016/j.ymgmr.2019.100487
Value of the Data

The data presented are the first comparison of enzyme replacement therapy (ERT) and non-ERT treated, in terms of the long-term decline in pulmonary function.

The data is grounded from longitudinal, standardized, repeated measurements taken from spirometry and oximetry studies.

The data is the first to report on the long-term changes in pulmonary function after an intervention such as non-invasive ventilation (NIV) and adenotonsillectomy.

These data are useful to clinicians and researchers evaluating the safety and efficacy of ERT on children with MPS IVA, especially within the context of evaluating airway respiratory changes.

  5 in total

Review 1.  Respiratory complications of metabolic disease in the paediatric population: A review of presentation, diagnosis and therapeutic options.

Authors:  A Broomfield; J Kenth; I A Bruce; H L Tan; S Wilkinson
Journal:  Paediatr Respir Rev       Date:  2019-04-12       Impact factor: 2.726

2.  Standardization of Spirometry, 1994 Update. American Thoracic Society.

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Journal:  Am J Respir Crit Care Med       Date:  1995-09       Impact factor: 21.405

3.  Rules for scoring respiratory events in sleep: update of the 2007 AASM Manual for the Scoring of Sleep and Associated Events. Deliberations of the Sleep Apnea Definitions Task Force of the American Academy of Sleep Medicine.

Authors:  Richard B Berry; Rohit Budhiraja; Daniel J Gottlieb; David Gozal; Conrad Iber; Vishesh K Kapur; Carole L Marcus; Reena Mehra; Sairam Parthasarathy; Stuart F Quan; Susan Redline; Kingman P Strohl; Sally L Davidson Ward; Michelle M Tangredi
Journal:  J Clin Sleep Med       Date:  2012-10-15       Impact factor: 4.062

4.  Sleep disordered breathing in mucopolysaccharidosis I: a multivariate analysis of patient, therapeutic and metabolic correlators modifying long term clinical outcome.

Authors:  Abhijit Ricky Pal; Eveline J Langereis; Muhammad A Saif; Jean Mercer; Heather J Church; Karen L Tylee; Robert F Wynn; Frits A Wijburg; Simon A Jones; Iain A Bruce; Brian W Bigger
Journal:  Orphanet J Rare Dis       Date:  2015-04-10       Impact factor: 4.123

5.  The characterisation of pulmonary function in patients with mucopolysaccharidoses IVA: A longitudinal analysis.

Authors:  Johnny J Kenth; Gabrielle Thompson; Catherine Fullwood; Stuart Wilkinson; Simon Jones; I A Bruce
Journal:  Mol Genet Metab Rep       Date:  2019-07-12
  5 in total

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