Table 3.
Predictive factors of herpes zoster development in our cohort of patients with rheumatoid arthritis.
HR (95% CI) | p | |
---|---|---|
Age (years) (mean ± SD) | 1.02 (0.99–1.05) | 0.21 |
Time of evolution of RA (months) (mean ± SD) | 1.002 (0.99–1.005) | 0.31 |
Women, n (%) | 1.31 (0.50–3.42) | 0.58 |
Active smokers, n (%) | 0.90 (0.43–1.90) | 0.79 |
Hypertension, n (%) | 2.25 (1.09–4.68) | 0.029 |
Diabetes mellitus, n (%) | 1.70 (0.70–4.17) | 0.24 |
Dyslipidemia, n (%) | 1.50 (0.73–3.08) | 0.27 |
Positive RF, n (%) | 0.96 (0.46–1.97) | 0.91 |
Positive anti-CCP, n (%) | 0.67 (0.33–1.38) | 0.28 |
Erosions, n (%) | 0.86 (0.40–1.85) | 0.71 |
Subcutaneous nodules, n (%) | 0.53 (0.07–3.92) | 0.54 |
Interstitial lung disease, n (%) | 2.10 (0.64–6.94) | 0.22 |
Sjögren syndrome, n (%) | 0.62 (0.08–4.52) | 0.63 |
Number of conventional synthetic DMARDs (not concomitant) | ||
Methotrexate | 0.77 (0.29–2.06) | 0.60 |
Leflunomide | 1.33 (0.67–2.66) | 0.42 |
Sulfasalazine | 1.08 (0.46–2.51) | 0.87 |
Gold salts | 1.04 (0.32.3.44) | 0.95 |
Biological DMARDs, n (%) | ||
Any anti-TNF | 1.12 (0.51–2.47) | 0.78 |
Adalimumab | 1.21 (0.59–2.50) | 0.60 |
Etanercept | 2.04 (0.99–4.18) | 0.05 |
Infliximab | 1.88 (0.72–4.90) | 0.20 |
Golimumab | 1.05 (0.32–3.48) | 0.93 |
Certolizumab Pegol | 0.98 (0.13–7.18) | 0.98 |
Tocilizumab | 1.55 (0.75–3.17) | 0.23 |
Rituximab | 1.94 (0.88–4.22) | 0.99 |
Abatacept | 1.46 (0.59–3.57) | 0.41 |
Sarilumab | 3.90 (0.53–28.62) | 0.18 |
JAK inhibitors | 1.46 (0.56–3.82) | 0.44 |
Tofacitinib | 1.34 (0.32–5.64) | 0.69 |
Baricitinib | 0.73 (0.17–3.07) | 0.67 |
Upadacitinib | 4.14 (0.56–30.59) | 0.16 |
Abbreviations (in alphabetical order): anti-CCP: anti-cyclic citrullinated protein antibodies; CI: confidence interval; DMARDs: disease-modifying anti-rheumatic drugs; HR: hazard ratio; JAK: Janus kinase; N (n): number; RF: rheumatoid factor; TNF: tumor necrosis factor; and SD: standard deviation.