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. 2020 Dec 10;10(12):e041577. doi: 10.1136/bmjopen-2020-041577

Table 5.

Univariate and multivariate analyses on laboratory-confirmed COVID-19 cases according to baseline demographic and clinical characteristics (comorbidities/medications) in subgroup analysis restricted to nursing-home residents (n=1407): Tarragona region (Southern Catalonia, Spain) from 1st. March 2020 to 23rd. May 2020

Characteristic Study population
(N=1407)
n (%)
PCR-confirmed COVID-19 cases (n=160)
Univariate analysis
n (%) p value
Multivariate analysis
HR (95% CI) p value
Sociodemographic
Age
 50–64 years 151 (10.7) 2 (1.3) <0.001 1.00 (reference)
 65–79 years 300 (21.3) 23 (14.4) 6.66 (1.53 to 29.02) 0.012
 ≥80 years 956 (67.9) 135 (84.4) 13.16 (3.09 to 56.00) <0.001
Sex
 Men 481 (34.2) 50 (31.3) 0.406 1.00 (reference)
 Women 926 (65.8) 110 (68.8) 0.85 (0.59 to 1.24) 0.402
Comorbidities
 Neurological disease 366 (26.0) 55 (34.4) 0.010 1.25 (0.89 to 1.76) 0.193
 Renal disease 236 (16.8) 23 (14.4) 0.388 0.68 (0.43 to 1.08) 0.104
 Cancer 167 (11.9) 17 (10.6) 0.605 0.74 (0.43 to 1.26) 0.264
 Rheumatic disease 12 (0.9) 1 (0.6) 0.739 0.86 (0.12 to 6.43) 0.885
 Respiratory disease 197 (14.0) 16 (10.0) 0.121 0.72 (0.39 to 1.31) 0.280
 Cardiac disease 510 (36.2) 55 (34.4) 0.601 0.76 (0.52 to 1.09) 0.137
 Atrial fibrillation 225 (16.0) 29 (18.1) 0.434 1.25 (0.71 to 2.20) 0.436
 Liver disease 27 (1.9) 2 (1.3) 0.512 0.70 (0.17 to 2.88) 0.618
 Diabetes 391 (27.8) 52 (32.5) 0.158 1.08 (0.63 to 1.85) 0.786
 Hypertension 949 (67.4) 111 (69.4) 0.581 0.89 (0.60 to 1.33) 0.562
 Hypercholesterolaemia 548 (38.9) 59 (36.9) 0.568 0.90 (0.64 to 1.26) 0.525
 Obesity 334 (23.7) 39 (24.4) 0.841 1.10 (0.75 to 1.61) 0.617
 Smoking 8 (5.0) 110 (7.8) 0.158 1.47 (0.68 to 3.17) 0.323
Chronic medications use
 Diuretics 453 (32.2) 60 (37.5) 0.127 1.19 (0.83 to 1.70) 0.342
 Beta blockers 259 (18.4) 28 (17.5) 0.753 0.90 (0.57 to 1.41) 0.642
 ACEIs 388 (27.6) 51 (31.9) 0.196 1.01 (0.69 to 1.47) 0.981
 ARBs 160 (11.4) 10 (6.3) 0.030 0.45 (0.23 to 0.90) 0.023
 Calcium channel blockers 174 (12.4) 25 (15.6) 0.184 1.34 (0.85 to 2.12) 0.214
 Statins 223 (15.8) 22 (13.8) 0.440 0.99 (0.59 to 1.64) 0.964
 Oral anticoagulants 171 (12.2) 19 (11.9) 0.909 0.81 (0.41 to 1.59) 0.534
 Antiplatelet drugs 344 (24.4) 46 (28.7) 0.179 1.30 (0.85 to 1.98) 0.227
 Insulin 138 (9.8) 19 (11.9) 0.350 1.05 (0.59 to 1.86) 0.880
 Oral antidiabetic drugs 233 (16.6) 35 (21.9) 0.055 1.56 (0.88 to 2.77) 0.131
 Inhaled respiratory drugs 198 (14.1) 19 (11.9) 0.396 0.93 (0.53 to 1.64) 0.808
 Antineoplastic agents 33 (2.3) 6 (3.8) 0.212 3.27 (1.34 to 7.94) 0.009
 Systemic corticosteroids 36 (2.6) 0 (–) 0.029 NA
 NSAIDs 16 (1.1) 0 (–) 0.150 NA
 Antihistamines 43 (3.1) 1 (0.6) 0.058 0.21 (0.03 to 1.54) 0.125
 Proton-pump inhibitors 616 (4.8) 68 (42.5) 0.729 0.82 (0.57 to 1.18) 0.286
 Benzodiazepines 392 (27.9) 47 (29.4) 0.650 1.02 (0.72 to 1.46) 0.911
Vaccination’s history
 Influenza vaccine in prior autumn 1036 (73.6) 135 (84.4) 0.001 1.61 (0.98 to 2.59) 0.071
 Pneumococcal vaccination 959 (68.2) 113 0.6) 0.477 0.77 (0.53 to 1.10) 0.148

P values in univariate analysis were calculated by χ2 (or Fisher’s test as appropriate) comparing percentages in the study population versus COVID-19 cases; HR denotes multivariable-adjusted hazard ratios (Cox regression) calculated for those who had the condition as compared with those who did not have the condition, being adjusted by age (continuous), sex, pre-existing comorbidities and medications use.

ACEIs, ACE inhibitors; ARBs, angiotensin II receptor blockers; NSAIDs, non-steroidal anti-inflammatory drugs.