Table 2.
Association of baseline sGFAP and sNfL with clinical disability parameters in AQP4-IgG+ and MOG-IgG+ patients
| Patient group (n) | sGFAP | sNfL | |||||||
|---|---|---|---|---|---|---|---|---|---|
| ηρ2 for interaction, p | Standardized effect size | β (95% CI) | p | ηρ2 for interaction, p | Standardized effect size | β (95% CI) | p | ||
| EDSSa | AQP4-IgG+ (33) | 0.10, p = 0.04 | 1.30 | 1.78 (0.52–3.04) | 0.007 | 0.06, p = 0.11 | 1.09 | 1.58 (− 0.58–3.75) | 0.15 |
| MOG-IgG+ (16) | − 0.48 | − 0.52 (− 2.26–1.30) | 0.59 | − 0.29 | − 0.43 (− 2.55–1.70) | 0.69 | |||
| MSFCa | AQP4-IgG+ (25) | 0.14, p = 0.03 | − 1.28 | − 0.73 (− 1.30 to − 0.16) | 0.01 | 0.05, p = 0.20 | − 1.75 | − 1.05 (− 2.13−0.03) | 0.06 |
| MOG-IgG+ (12) | 0.76 | 0.43 (− 0.46–1.32) | 0.33 | − 0.37 | − 0.22 (− 1.26–0.82) | 0.67 | |||
| 9-HPTa | AQP4-IgG+ (32) | 0.11, p = 0.04 | − 1.03 | − 0.007 (− 0.013 to − 0.001) | 0.03 | < 0.01, p = 0.70 | − 0.82 | − 0.006 (− 0.017–0.005) | 0.28 |
| MOG-IgG+ (14) | 0.65 | 0.004 (− 0.004–0.013) | 0.32 | − 0.47 | − 0.003 (− 0.015–0.008) | 0.56 | |||
| PASATa | AQP4-IgG+ (27) | 0.05, p = 0.19 | − 1.00 | − 12.7 (− 25.1 to − 0.3) | 0.045 | 0.13, p = 0.03 | − 1.86 | − 23.0 (− 43.7 to − 2.4) | 0.03 |
| MOG-IgG+ (13) | 0.21 | 2.7 (− 17.0–22.4) | 0.78 | 0.44 | 5.5 (− 15.9–26.9) | 0.61 | |||
| T25-FWb | AQP4-IgG+ (30) | 0.01, p = 0.61 | 0.19 | 0.027 (− 0.105–0.158) | 0.69 | 0.01, p = 0.54 | 0.31 | 0.043 (− 0.179–0.265) | 0.70 |
| MOG-IgG+ (14) | − 0.21 | − 0.029 (− 0.212–0.154) | 0.75 | 0.89 | 0.122 (− 0.099–0.343) | 0.27 | |||
aLinear model using log-transformed sGFAP or sNfL values, including age as well as the log-transformed interval since the last attack as covariates. Furthermore, an interaction term of baseline sGFAP or sNFL (log-transformed) and group was included to assess the statistical significance of inter group differences
bLinear model using log-transformed sGFAP or sNfL and log-transformed T25-FW values, including age as well as the log-transformed interval since the last attack as covariates. Furthermore, an interaction term of baseline sGFAP or sNFL (log-transformed) and group was included to assess the statistical significance of inter group differences
Note that a higher EDSS score indicates a worse functional status, whereas a higher MSFC score indicates a better functional status. The EDSS [23] is the most common score to rate global neurological dysfunction secondary to MS and NMOSD. The MSFC [24] is a more complex, multidimensional scoring system for neurological impairment in MS and NMOSD, which consists of three components. These components, which may each be used individually as well, are the 9-HPT, PASAT, and T25-FW. The 9-HPT assesses upper extremity function and dexterity. PASAT, in rating the processing speed of auditory input and calculation ability, quantifies cognitive impairment. T25-FW addresses lower extremity function based on walking speed
9-HPT 9-hole peg test, AQP4-IgG aquaporin-4 immunoglobulin G, β regression coefficient, CI confidence interval, ηρ2 partial eta-squared, EDSS expanded disability status scale, MOG-IgG myelin oligodendrocyte protein immunoglobulin G, MSFC multiple sclerosis functional composite, n number, NMOSD neuromyelitis optica spectrum disorder, PASAT paced auditory serial addition test, sGFAP serum glial fibrillary acidic protein, sNfL serum neurofilament light chain protein, T25-FW timed 25-foot walk