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. 2020 Jun 24;2(8):e474–e484. doi: 10.1016/S2665-9913(20)30173-9

Table 4.

Unadjusted and adjusted relative hazards of the composite of the initiation of invasive mechanical ventilation or death

Unadjusted analysis
Adjusted analysis*
Adjusted analysis
HR (95% CI) p value HR (95% CI) p value HR (95% CI) p value
Overall (two-way contrast)
Standard of care 1 (ref) .. 1 (ref) .. 1 (ref) ..
Tocilizumab (any) 0·60 (0·43–0·84) 0·0030 0·64 (0·45–0·91) 0·012 0·61 (0·40–0·92) 0·020
Tocilizumab (any) 0·54 (0·37–0·78) 0·0009 .. .. 0·53 (0·31–0·89)§ 0·016
Baseline PaO2/FiO2≤150 mm Hg (two-way contrast)
Standard of care 1 (ref) .. 1 (ref) .. 1 (ref) ..
Tocilizumab (any) 0·30 (0·17–0·52) .. 0·20 (0·11–0·36) .. 0·19 (0·08–0·44) ..
Interaction p value .. .. .. .. .. 0·011
Baseline PaO2/FiO2>150 mmHg (two-way contrast)
Standard of care 1 (ref) .. 1 (ref) .. 1 (ref) ..
Tocilizumab (any) 0·31 (0·16–0·59) .. 0·39 (0·20–0·77) .. 0·46 (0·21–0·99) ..
Overall comparison (three-way contrast)
Standard of care 1 (ref) .. 1 (ref) .. 1 (ref) ..
Subcutaneous tocilizumab 0·63 (0·41–0·97) 0·036 0·69 (0·44–1·08) 0·102 0·65 (0·39–1·11) 0·11
Intravenous tocilizumab 0·57 (0·36–0·90) 0·016 0·60 (0·38–0·95) 0·030 0·55 (0·31–0·98) 0·042
Intravenous tocilizumab 1 (ref) .. 1 (ref) .. 1 (ref) ..
Subcutaneous tocilizumab 1·10 (0·61–1·95) 0·76 1·14 (0·63–2·05) 0·67 1·18 (0·59–2·36) 0·64
Standard of care 1·75 (1·11–2·75) 0·016 1·66 (1·05–2·62) 0·030 1·80 (1·02–3·19) 0·042

Data are n (95% CI) unless otherwise indicated. Data obtained using a Cox regression model. 152 patients with missing PaO2/FiO2 were not included in the stratified analysis. PaO2/FiO2=ratio of arterial oxygen partial pressure to fractional inspired oxygen.

*

Adjusted for age, sex, and recruiting centre.

Adjusted for age, sex, recruiting centre, duration of symptoms, and Subsequent Organ Failure Assessment (SOFA) score.

Using a weighted Cox instead of standard Cox model.

§

Adjusted for age, sex, recruiting centre, duration of symptoms, SOFA score, use of steroids after baseline, and censoring using inverse probability weighting.

Some p values intentionally left out as p values in the subsets are not interpretable.