Table 3.
Author year | Data source, territory, population | N | Age | SNIP outcome data reported |
Chabanon 2018 [44] | NatHis-SMA | 81 | Adults and children | SNIP % predicted values, median (IQR) |
Belgium, France, and Germany | •Type 2 SMA, non-sitter (n = 15): 35 (22–64) | |||
Types 2 and 3 SMA | •Type 2 SMA, sitter (n = 9): 33 (26–56) | |||
•Type 3 SMA, non-ambulant (n = 9): 56 (27–99) | ||||
•Type 3 SMA, ambulant (n = 10): 45 (35–76) | ||||
•Overall (n = 43): 39 (28–60) | ||||
Patients > 6 years of age performed SNIP assessments in the sitting position which were captured with the MicroRPM device; the best results of three measurements were selected for analysis | ||||
Kapur 2019 [42] | Children attending the Children’s Health Queensland, Brisbane, Australia | 25 | Children | SNIP median Z score (IQR) (n = 14) from a cross-sectional study |
Types 1–3 SMA | •Type 2 SMA: –2.53 (2.61) | |||
•Type 3 SMA: –1.32 (2.47) | ||||
•All patients: –2.06 (2.87) | ||||
Median Z scores were lower in patients who needed NIV (results displayed graphically); p = 0.25 | ||||
Children who refused to perform a respiratory test were not forced. Standard testing methods were used | ||||
Veldhoen 2022 [7] | Patients enrolled in this study were participating in a prospective, population-based prevalence cohort study on SMA in the Netherlands (Wadman 2017, 2018, 2020) | 57 | Adults and children | SNIP, median (cmH2O): |
Types 1–3 SMA | •Type 1c SMA: 33 | |||
•Type 2a SMA: 44 | ||||
•Type 2b SMA: 59 | ||||
•Type 3a SMA: 58 | ||||
•Type 3b SMA: 55 | ||||
Results also reported graphically in box plots | ||||
There was a significant trend of increasing SNIP with less severe SMA types (p = 0.0053) | ||||
All SNIP outcomes were below 75 cmH2O, which is considered the lower limit of normal |
Abbreviations: IQR = interquartile range; NatHis = natural history; NIV = non-invasive ventilation; SMA = spinal muscular atrophy; SNIP = sniff nasal inspiratory pressure.