| Literature DB >> 32780905 |
X T Lima1,2, M A Cueva1, E M Lopes2, M B Alora1.
Abstract
Entities:
Mesh:
Year: 2020 PMID: 32780905 PMCID: PMC7436403 DOI: 10.1111/jdv.16867
Source DB: PubMed Journal: J Eur Acad Dermatol Venereol ISSN: 0926-9959 Impact factor: 9.228
Demographic and clinical characteristics of patients†
| Biologic, | MTX, | Systemic therapy, | No systemic therapy, |
| |
|---|---|---|---|---|---|
|
| |||||
| Age (years) | 51.9 ± 17.5 | 63.5 ± 10.6 | 55.1 ± 16.0 | 57.4 ± 18.4 | 0.51 |
| Male | 12 (50.0%) | 7 (70.0%) | 21 (56.8%) | 38 (56.7%) | 1.0 |
| White | 18 (75.0%) | 7 (70.0%) | 26 (70.3%) | 43 (64.2%) | 0.67 |
|
| |||||
| BMI (Kg/cm2) | 30.8 ± 6.8 | 30.3 ± 7.6 | 30.1 ± 7.0% | 30.5 ± 6.3% | 0.77 |
| Current smoking | 1 (4.2%) | 1 (10.0%) | 2 (5.4%) | 3 (4.5%) | 1.00 |
| Alcohol abuse | 1 (4.2%) | 1 (10.0%) | 2 (5.4%) | 7 (10.4%) | 0.49 |
| Diabetes mellitus | 5 (20.8%) | 3 (30.0%) | 9 (24.3%) | 22 (32.8%) | 0.50 |
| Hypertension | 15 (62.5%) | 6 (60.0%) | 22 (59.5%) | 34 (50.7%) | 0.42 |
| Chronic respiratory disease | 4 (16.7%) | 4 (40.0%) | 8 (21.6%) | 16 (23.9%) | 0.50 |
| Cardiovascular disease | 2 (8.3%) | 2 (20.0%) | 4 (10.8%) | 11 (16.4%) | 0.57 |
| Renal disease | 2 (8.3%) | 0 | 2 (5.4%) | 11 (16.4%) | 0.13 |
| Psoriatic Arthritis | 16 (66.7%) | 6 (60.0%) | 24 (64.9%) | 3 (4.5%) | <0.001 |
|
| |||||
| Hospital admission | 15 (40.5%) | 26 (38.8%) | 0.86 | ||
| Supplemental oxygen | 9 (24.3%) | 24 (35.8%) | 0.23 | ||
| ICU admission | 3 (8.3%) | 10 (14.9%) | 0.34 | ||
| Orotracheal intubation | 2 (5.6%) | 6 (9.0%) | 0.54 | ||
| Death | 2 (5.6%) | 7 (10.8%) | 0.39 | ||
Continuous and categorical data are represented by mean ± SD and number of patients (%), respectively. Patients on both a biologic and methotrexate were not shown in the biologic and methotrexate columns, only in the combined systemic therapy column. MTX – methotrexate.
Comparison between patients on any systemic therapy and non‐systemic therapy, using two‐sided Student’s t‐test, Fisher’s exact test or logistic regression for continuous and categorical data, respectively.
Main composite outcome – univariable analysis
| Composite outcome, | Unadjusted OR (95% CI) |
| |
|---|---|---|---|
|
| |||
| Yes ( | 4 (10.8) | 0.62 (0.18–2.10) | 0.44 |
| No( | 11 (16.4) | ||
|
| |||
| ≤ 60 ( | 5 (8.2) | 3.39 (1.07–10.79) | 0.04 |
| >60 ( | 10 (23.3) | ||
|
| |||
| Male ( | 7 (11.9) | 1.61 (0.54–4.82) | 0.40 |
| Female( | 8(17.8) | ||
|
| |||
| White ( | 9 (13.0) | 0.73 (0.24–2.23) | 0.58 |
| Non‐white ( | 6 (17.1) | ||
|
| |||
| Yes ( | 9 (18.4) | 1.84 (0.60–5.60) | 0.29 |
| No ( | 6 (10.9) | ||
|
| |||
| Yes ( | 0 | – | 1.00 |
| No ( | 15 (15.2) | ||
|
| |||
| Yes ( | 1 (11.1) | 0.72 (0.08–6.24) | 0.77 |
| No ( | 14 (14.7) | ||
|
| |||
| Yes ( | 12 (38.7) | 14.74 (3.77–57.58) | <0.001 |
| No ( | 3 (4.1) | ||
|
| |||
| Yes ( | 13 (23.2) | 6.95 (1.48–32.62) | 0.01 |
| No ( | 2 (4.2) | ||
|
| |||
| Yes ( | 4 (16.7) | 1.26 (0.36–4.37) | 0.72 |
| No ( | 11 (13.8) | ||
|
| |||
| Yes ( | 6 (40.0) | 5.93 (1.71–20.51) | 0.005 |
| No ( | 9 (10.1) | ||
|
| |||
| Yes ( | 5 (38.5) | 5.06 (1.39–18.51) | 0.01 |
| No ( | 10 (11.0) | ||
|
| |||
| Yes ( | 3 (11.1) | 0.68 (0.18–2.61) | 0.57 |
| No( | 12 (15.6) | ||
Logistic regression.