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. 2020 Aug 21;2(11):e698–e711. doi: 10.1016/S2665-9913(20)30276-9

Table 1.

Baseline characteristics of users of HCQ versus SSZ, and HCQ plus AZM versus HCQ plus AMX after propensity score stratification in the CCAE database

HCQ vs SSZ
HCQ plus AZM vs HCQ plus AMX
HCQ (n=66 604) SSZ (n=22 370) Standardised mean difference HCQ plus AZM (n=32 586) HCQ plus AMX (n=32 496) Standard mean difference
Age, years
15–19 0·6% 0·6% 0·00 0·5% 0·5% <0·00
20–24 1·8% 2·0% −0·01 1·4% 1·4% <0·00
25–29 2·5% 2·7% −0·01 2·2% 2·2% <0·00
30–34 4·5% 4·4% <0·00 4·0% 3·9% 0·01
35–39 7·1% 7·1% 0·00 6·8% 6·7% <0·00
40–44 9·7% 9·5% 0·01 9·3% 9·3% <0·00
45–49 13·6% 13·4% <0·00 13·2% 13·3% <0·00
50–54 18·2% 18·1% 0·01 18·1% 18·0% <0·00
55–59 20·8% 20·8% <0·00 21·5% 21·8% −0·01
60–64 19·4% 19·8% −0·01 21·1% 21·1% <0·00
65–69 1·8% 1·6% 0·01 2·0% 2·0% <0·00
Sex
Female 80·1% 79·7% 0·01 86·3% 86·2% 0·00
Male 19·9% 20·3% 0·01 13·7% 13·8% 0·00
Medical history: general
Chronic obstructive lung disease 4·3% 4·5% −0·01 5·0% 5·2% −0·01
Depressive disorder 13·3% 13·5% <0·00 14·7% 14·8% <0·00
Diabetes 13·6% 13·8% −0·01 13·2% 13·1% <0·00
Hyperlipidaemia 31·2% 31·4% <0·00 30·4% 30·3% <0·00
Pneumonia 4·0% 4·0% <0·00 5·7% 5·5% 0·01
Renal impairment 3·0% 2·8% 0·01 4·2% 4·1% <0·00
Urinary tract infections 11·6% 11·5% <0·00 14·0% 13·9% <0·00
Medical history: cardiovascular disease
Atrial fibrillation 1·4% 1·3% 0·01 1·7% 1·8% <0·00
Cerebrovascular disease 2·8% 2·9% −0·01 3·1% 3·2% −0·01
Coronary arteriosclerosis 4·4% 4·6% −0·01 5·0% 4·9% <0·00
Heart disease 15·5% 15·4% <0·00 17·8% 17·9% <0·00
Heart failure 1·9% 2·0% <0·00 2·5% 2·4% 0·01
Ischaemic heart disease 3·0% 3·1% −0·01 3·3% 3·1% 0·01
Medication use
Agents acting on the renin–angiotensin system 24·5% 24·6% <0·00 27·1% 26·9% <0·00
Antidepressants 36·3% 36·5% <0·00 43·0% 42·8% <0·00
Drugs for obstructive airway diseases 29·5% 29·5% <0·00 41·1% 40·7% 0·01
Immunosuppressants 43·4% 43·6% <0·00 51·1% 51·2% <0·00
Opioids 39·0% 39·3% −0·01 41·4% 41·2% <0·00
Psycholeptics 33·4% 33·3% <0·00 38·2% 38·1% <0·00

Percentages might not sum to 100% because of rounding. An example of one dataset is included. AMX=amoxicillin. AZM=azithromycin. CCAE=IBM Commercial Claims and Encounters. HCQ=hydroxychloroquine. SSZ=sulfasalazine.