Table 2 Odds ratio of single drug use and interaction with hydroxychloroquine from each multiple logistic regression.

From: Risk of QT prolongation through drug interactions between hydroxychloroquine and concomitant drugs prescribed in real world practice

 

Single drug use

Interaction with hydroxychloroquine

OR

95% CI

p value

OR

95% CI

p value

Trimebutine

0.84

0.76–0.94

< 0.001

2.17

1.33–3.53

< 0.001

Tacrolimus

0.75

0.58–0.97

0.03

2.27

1.31–3.93

< 0.001

Tramadol

0.98

0.90–1.07

0.66

1.70

1.24–2.34

< 0.001

Rosuvastatin

0.93

0.86–1.01

0.07

2.80

1.40–5.58

< 0.001

Cyclosporin

0.52

0.38–0.70

< 0.001

8.06

3.05–21.29

< 0.001

Sulfasalazine

0.81

0.57–1.16

0.25

2.12

1.19–3.80

0.01

Rofecoxib

0.35

0.12–0.97

0.04

8.89

1.56–50.7

0.01

Diltiazem

0.84

0.77–0.90

< 0.001

3.15

1.29–7.72

0.01

Piperacillin

1.34

1.16–1.56

< 0.001

17.85

2.10–151.94

0.01

Isoniazid

1.20

0.98–1.47

0.08

3.89

1.17–12.98

0.03

Clarithromycin

1.45

1.26–1.68

< 0.001

3.17

1.08–9.28

0.04

Furosemide

1.72

1.63–1.82

< 0.001

2.03

1.01–4.08

0.05

  1. Detailed analysis results of 12 drugs whose interaction term with hydroxychloroquine was statistically significant (p > 0.05) in linear regression. ‘Single drug use’ columns show the Odds ratio (OR), 95% Confidence interval (95% CI), and p value of the analyzed drug in the linear regression, and ’Interaction with hydroxychloroquine’ columns show OR, 95% CI, and the p value of the interaction term with hydroxychloroquine. p value was calculated through the two-sided T test.
Back to article page