Table 3.
Fixed Effects | Random effects | ||||||
---|---|---|---|---|---|---|---|
n | Intercept (SE) | 95% CI Intercept | Slope | 95% CI Slope |
Std. dev. Intercept | Std. dev. Slope | |
FEV1 | |||||||
SMA type 1c | 6 | 42.13 (4.58) | 33.89; 50.59 | −0.40 | −1.42; 0.60 (n.s.) | 6.11 | 1.12 |
SMA type 2a | 46 | 61.71 (4.51) | 52.44; 70.60 | −1.29 | − 1.78; − 0.81 | 24.35 | 1.21 |
SMA type 2b | 34 | 81.37 (6.15) | 68.36; 93.53 | −1.37 | −2.04; − 0.73 | 25.06 | 1.18 |
SMA type 3a | 41 | 97.61 (6.30) | 84.80; 110.02 | −0.73 | −1.11; − 0.35 | 23.20 | 0.64 |
SMA type 3b | 32 | 100.35 (9.17) | 81.91; 118.90 | −0.11* | − 0.55; 0.32 *(n.s.) | 16.62 | n/a* |
FVC | |||||||
SMA type 1c | 5 | 49.71 (7.34) | 34.65; 68.07 | −1.15 | −3.29; 0.70 (n.s.) | 12.60 | 1.70 |
SMA type 2a | 47 | 64.20 (5.29) | 53.65; 74.64 | −1.32 | −1.90; −0.76 | 28.46 | 1.39 |
SMA type 2b | 34 | 84.53 (6.07) | 71.85; 96.50 | −1.40 | −2.10; −0.71 | 23.68 | 1.28 |
SMA type 3a | 43 | 96.65 (6.17) | 84.08; 108.73 | −0.67 | −1.06; − 0.31 | 23.14 | 0.63 |
SMA type 3b | 34 | 109.00 (7.42) | 94.46; 123.50 | −0.23* | −0.58; 0.11* (n.s.) | 15.35 | n/a* |
VC | |||||||
SMA type 1c | 6 | 44.09 (7.06) | 28.41; 60.01 | −0.78 | −2.35; 0.63 (n.s.) | 12.84 | 1.21 |
SMA type 2a | 32 | 61.01 (4.62) | 51.78; 70.16 | −1.57 | −2.23; −0.94 | 23.17 | 1.40 |
SMA type 2b | 22 | 85.54 (6.98) | 69.33; 98.18 | −1.65 | −2.59; −0.60 | 25.04 | 1.46 |
SMA type 3a | 16 | 96.34 (9.05) | 78.17; 114.60 | −1.06 | −1.71; −0.45 | 30.07 | 0.98 |
SMA type 3b | 4 | 80.99 (19.67) | 35.90; 124.82 | 0.21 | −0.77; 1.23 (n.s.) | 35.12 | 0.75 |
Legend: Model parameter estimates, standard errors, and confidence intervals for the linear mixed-effects models are shown. n: number of patients in each group
SE standard error, CI confidence interval, Std. dev standard deviation, n.s. slope parameter is not significant; n/a not available
* due to a too limited number of repeated-measurements ‘age at measurement’ was omitted as a random factor from the mixed-effects model. The slope parameter (i.e. the annual rate of decline in % of predicted) will therefore likely be an overestimation of the true value