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Table 3 Associations of clinical characteristics with QTc ≥ 440 ms in combined SLE/RA cohort

From: Hydroxychloroquine use is not associated with QTc length in a large cohort of SLE and RA patients

Clinical covariates

Univariable model QTc ≥ 440 ms

Multivariable model QTc ≥ 440 msb

OR

95% CI

p

OR

95% CI

p

Age

1.02

1.00–1.03

0.004

1.00

0.99–1.02

0.53

Sex

1.29

0.86–1.96

0.22

----------

----------

----------

Race (white vs non-white)

1.48

1.07–2.03

0.016

1.06

0.68–1.63

0.80

Disease duration (square root)

0.96

0.86–1.07

0.48

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----------

----------

Current HCQ use

0.48

0.33–0.70

< 0.01

0.77

0.48–1.23

0.27

Current prednisone use

0.46

0.33–0.64

< 0.01

0.56

0.34–0.92

0.023

Current biologic use

0.83

0.58–1.19

0.30

----------

----------

----------

Hypertension

1.18

0.87–1.61

0.29

----------

----------

----------

Current smoking

1.46

0.82–2.60

0.20

----------

----------

----------

Diabetes

1.64

0.95–2.83

0.076

1.38

0.70–2.72

0.35

Current statin use

1.08

0.73–1.60

0.69

----------

----------

----------

Current ASA use

0.51

0.36–0.73

< 0.01

0.68

0.43–1.07

0.095

Any QTc meds

1.07

0.78–1.47

0.67

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----------

----------

Antidepressants

1.79

1.07–2.99

0.027

1.45

0.90–2.33

0.12

Antipsychotics

1.62

0.62–4.22

0.33

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----------

----------

Antiarrhythmics

1.48

0.43–5.06

0.53

----------

----------

----------

Muscle relaxants

1.41

0.57–3.46

0.46

----------

----------

----------

Antimicrobials

0.99

0.62–1.58

0.97

----------

----------

----------

Antiemetics

1.15

0.63–2.08

0.65

----------

----------

----------

Anticonvulsants

2.33

0.54–1.93

0.94

----------

----------

----------

Tacrolimus

1.63

0.72–3.69

0.24

----------

----------

----------

Ejection fraction %

1.00

0.98–1.03

0.82

----------

----------

----------

Ejection fraction ≥ 55%

0.81

0.44–1.49

0.50

----------

----------

----------

Prob > F

----------

0.0001

  1. Abbreviations: HCQ hydroxychloroquine, QTcMeds QTc prolonging medications
  2. bFinal imputed data