Table 4.
Models for long-term outcome prognoses:
| Model | Coefficient | Coefficient Value (SE) | OR (95% CI) | p | n | AUC (SE) | |
|---|---|---|---|---|---|---|---|
| A. Models for prediction course of aSAHa | |||||||
| Ψ0WFNS | β1*WFNS | β1 | −0·445 (0·129) | 0·64 (0·50-0·83) | 0·001 | 124 | 0·673 (0·052) |
| Ψ0Age&WFNS | β1*Age + β2*WFNS | β1 | −0·034 (0·018) | 0·97 (0·93-1·00) | 0·060 | 124 | 0·712 (0·049) |
| β2 | −0·434 (0·130) | 0·65 (0·50-0·84) | 0·001 | ||||
| Ψ0RMS | β1*RMS | β1 | −0·431 (0·113) | 0·65 (0·52-0·81) | 0·000 | 124 | 0·719 (0·048) |
| Ψ1 | β1*NBTBBBD1 + | β1 | −0·035 (0·010) | 0·97 (0·95-0·98) | 0·000 | 93 | 0·829 (0·043) |
| β2 *RMS | β2 | −0·348 (0·149) | 0·71 (0·53-0·95) | 0·020 | |||
| Ψ2 | β1*NBTBBBD2 + | β1 | −0·057 (0·018) | 0·55 (0·33-0·94) | 0·030 | 55 | 0·905 (0·042) |
| β2*WFNS | β2 | −0·590 (0·272) | 0·95 (0·91-0·98) | 0·001 | |||
| Ψ3 | β1*NBTBBBD3 | β1 | −51·697 (13·931) | 0·00 (0·00-0·00) | 0·000 | 88 | 0·793 (0·049) |
| Ψ4 | β1*ABT4 + | β1 | −0·138 (0·060) | 0·87 (0·77-0·98) | 0·022 | 46 | 0·979 (0·017) |
| β2*NBTBBBD4 + | β2 | −0·059 (0·027) | 0·94 (0·89-0·99) | 0·027 | |||
| β3*ABTBBBD4 | β3 | 0·298 (0·148) | 1·35 (1·01-1·80) | 0·044 | |||
| B. Models for prediction of eGOS status of aSAHa: | |||||||
| Ψ0WFNS | β1*WFNS | β1 | −0·471 (0·138) | 0·63 (0·48-0·82) | 0·001 | 112 | 0·676 (0·055) |
| Ψ0Age&WFNS | β1*Age + β2*WFNS | β1 | −0·062 (0·021) | 0·94 (0·90-0·98) | 0·003 | 112 | 0·750 (0·050) |
| β2 | 0·484 -(0·144) | 0·62 (0·47-0·82) | 0·001 | ||||
| Ψ0RMS | β1*RMS | β1 | −0·564 (0·132) | 0·57 (0·44-0·74) | 0·000 | 112 | 0·757 (0·048) |
| Ψ1 | β1*NBTBBBD1 + | β1 | −0·027 (0·009) | 0·97 (0·96-0·99) | 0·003 | 79 | 0·827 (0·051) |
| β2 *RMS | β2 | −0·491 (0·168) | 0·61 (0·44-0·85) | 0·004 | |||
| Ψ2 | β1*ABT2 + β2*NBTBBBD2 | β1 | −0·013 (0·007) | 0·99 (0·97-1·00) | 0·073 | 50 | 0·871 (0·052) |
| β2 | −0·030 (0·012) | 0·97 (0·95-0·99) | 0·012 | ||||
| Ψ3 | β1*ABTBBBD3 + | β1 | −0·044 (0·014) | 0·96 (0·93-0·98) | 0·002 | 78 | 0·830 (0·048) |
| β2*RMS | β2 | −0·382 (0·169) | 0·68 (0·49-0·95) | 0·023 | |||
| Ψ4 | β1*ABT4 + | β1 | −0·087 (0·030) | 0·92 (0·86-0·97) | 0·004 | 44 | 0·942 (0·035) |
| β2*ABTBBBD4 | β2 | 0·156 (0·075) | 1·17 (1·01-1·36) | 0·037 | |||
SE = standard error.
a
Uncategorized WFNS and RMS grades were used in the logistic model. Since the neurological grades on admission RMS and WFNS are dependent [25] variables, only one of them can be included in the multivariate model at the time.