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. 2021 Oct 23;59(1):106462. doi: 10.1016/j.ijantimicag.2021.106462

Table 2.

Relative risks for outcomes in early antibiotic use (EAU) or non-early antibiotic use (NEAU) groups under the mixed-effect model before and after propensity score matching.


Unmatched (n=1373) Matched (n=746)a
Crudeb
Mixed-effect modelc
Crudeb
Mixed-effect modelc
HR 95% CI P-value HR 95% CI P-value HR 95% CI P-value HR 95% CI P-value
Progression to severe disease 1.560 1.232 1.974 0.0002 1.555 1.227 1.970 0.0003 1.416 1.069 1.876 0.0154 1.416 1.069 1.876 0.0154
OR 95% CI P-value OR 95%CI P-value OR 95% CI P-value OR 95% CI P-value
Length of stay>15 days 1.711 1.308 2.240 <0.0001 1.827 1.389 2.403 <0.0001 1.684 1.218 2.328 0.0016 1.784 1.279 2.487 0.0007
All-cause mortality (30 days) 3.070 1.008 9.348 0.0484 3.051 1.001 9.301 0.0498 1.182 0.237 5.909 0.8385 1.190 0.237 5.969 0.8324

OR, odds ratio; CI, confidence interval; HR, hazard ratio; COPD, chronic obstructive pulmonary disease; NSAIDs, non-steroidal anti-inflammatory drugs.

a

Propensity score matching was conducted to adjust for basic demographic characteristics (age and gender), symptoms (cough and fever), vital signs (diastolic blood pressure and respiratory rate), comorbidities (hypertension, diabetes, malignancy and COPD), treatments (antiviral drugs, NSAIDs, steroids, immunomodulators and biologics) and laboratory data on admission (white blood cell count, lymphocyte percentage and C-reactive protein).

b

Crude estimations were adjusted for basic demographic characteristics (age and gender), symptoms (cough and fever), comorbidities (hypertension, diabetes, and coronary heart disease, malignancy and COPD) and treatments (antiviral drugs, NSAIDs, steroids, immunomodulators and biologics).

c

Site (hospital) was modelled as a random effect in the multi-variate analyses.