Table 2.
Author year | Data source, territory, population | N | Age | PCF outcome data reported |
Chabanon 2018 [44] | NatHis-SMA | 81 | Adults and children | PCF % predicted values, median (IQR): |
Belgium, France, and Germany | •Type 2 SMA, non-sitter (n = 15): 43 (34–62) | |||
Types 2 and 3 SMA | •Type 2 SMA, sitter (n = 9): 68 (51–79) | |||
•Type 3 SMA, non-ambulant (n = 9): 88 (67–112) | ||||
•Type 3 SMA, ambulant (n = 10): 79 (70–88) | ||||
•Overall (n = 43): 69 (45–84) | ||||
Patients > 6 years of age performed PCF assessments in the sitting position which were captured with the Vitalograph spirometer; the best results of three measurements were selected for analysis | ||||
Kapur 2019 [42] | Children attending the Children’s Health Queensland, Brisbane, Australia Types 1–3 SMA | 25 | Children | PCF, median L/min (IQR) from a cross-sectional study: |
•Type 2 SMA: 178.8 (246.0) | ||||
•Type 3 SMA: 277.8 (124.8) | ||||
•All patients: 231.9 (181.8) | ||||
Median Z scores lower in patients who needed NIV (results displayed graphically); p = 0.75 | ||||
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) Types 1–3 SMA | 80 | Adults and children | Longitudinal patterns of PCF reported graphically |
•PCF was lowest in Type 1c SMA:<160 L/min throughout life | ||||
•Patients with Type 2 SMA reached 160–270 L/min, with clear differences between Types 2a and 2b SMA | ||||
•Patients with Type 3 SMA had higher PCF values from earlier ages onwards in comparison with Type 2b SMA, but median values were still below normal |
Abbreviations: IQR = interquartile range; NatHis = natural history; NIV = non-invasive ventilation; PCF = peak cough flow; SMA = spinal muscular atrophy.