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Table 4 The Impact of Opium Use on the Severity of Pulmonary Involvement in CT scans of Hospitalized COVID-19 Patients

From: Association between opioid abuse and COVID-19 susceptibility: a propensity score matched study

Outcomes

Model

OR (95% CI)

P-value

Ground Glass Opacities

Unadjusted

1.26 (0.50, 3.21)

0.627

Full adjusted

0.66 (0.09, 4.62)

0.672

Optimal model

0.76 (0.14, 4.18)

0.752

Posterior Lower Lobe Prediction

Unadjusted

0.75 (0.32, 1.77)

0.511

Full adjusted

0.64 (0.24, 1.71)

0.374

Optimal model

0.66 (0.37, 1.18)

0.163

Pure Consolidation

Unadjusted

0.74 (0.23, 2.40)

0.617

Full adjusted

3.56 (0.29, 44.02)

0.323

Optimal model

1.97 (0.62, 6.26)

0.251

Peripheral Subpleural distribution

Unadjusted

0.49 (0.21, 1.17)

0.108

Full adjusted

1.31 (0.40, 4.24)

0.655

Optimal model

1.34 (0.45, 3.94)

0.598

Pleural Effusion

Unadjusted

0.49 (0.06, 4.20)

0.519

Full adjusted

–––

–––

Optimal model

–––

–––

Multiple Lesions

Unadjusted

0.99 (0.42, 2.33)

0.980

Full adjusted

0.66 (0.23, 1.86)

0.429

Optimal model

0.69 (0.26, 1.81)

0.453

Crazy Paving Pattern

Unadjusted

2.35 (0.77, 7.15)

0.134

Full adjusted

–––

–––

Optimal model

5.45 (0.44, 474.33)

0.118

Air Bronco Gram

Unadjusted

0.33 (0.07, 1.52)

0.154

Full adjusted

–––

–––

Optimal model

–––

–––

Bilateral Involvement

Unadjusted

0.97 (0.43, 2.16)

0.935

Full adjusted

0.89 (0.30, 2.68)

0.836

Optimal model

0.90 (0.30, 2.66)

0.483

  1. A full adjustment method was employed, incorporating all variables, and the optimal model was determined using a stepwise backward algorithm