Disentangling the Association of Hydroxychloroquine Treatment with Mortality in Covid-19 Hospitalized Patients through Hierarchical Clustering
Table 1
Comparison of main categorical variables between the two clusters identified.
Category (%)
Cluster 1 – low risk N = 3,913
Cluster 2 – high risk N = 483
p for difference
Men
2,346 (60.0%)
362 (74.9%)
6 × 10−11
Smoke
<10−15
Current smokers
450 (11.5%)
94 (19.5%)
Previous smokers
268 (6.8%)
94 (25.3%)
Obesity (BMI ≥ 30 Kg/m2)
546 (13.9%)
64 (13.3%)
0.73
Myocardial infarction
127 (3.2%)
335 (69.4%)
<10−15
Heart failure
171 (4.4%)
315 (65.2%)
<10−15
Diabetes
621 (15.9%)
276 (57.1%)
<10−15
Hypertension
1,828 (46.7%)
453 (93.8%)
<10−15
Cancer
392 (10.0%)
89 (18.4%)
2 × 10−07
Lung disease
415 (10.6%)
207 (42.8%)
<10−15
P for difference resulting from comparison of the clusters—through Fisher’s Exact Test (for binary variables) or Chi-squared test (for nonbinary categorical variables, i.e., smoke)—are reported, along with absolute and % frequency of each condition within each cluster.
