Table 2.
Standard Patients (n = 924) | Outlier Patients (n = 21) | p-Value * | |
---|---|---|---|
Female, n (%) | 450 (48.7%) | 11 (52.4%) | 0.739 |
Age, mean (SD), years | 56.5 (±15.9) | 60.3 (±15.5) | 0.278 |
18–29 years | 72 (7.8%) | 2 (9.5%) | 0.221 |
30–39 years | 85 (9.2%) | 1 (4.8%) | |
40–49 years | 126 (13.6%) | 0 (0.0%) | |
50–59 years | 193 (20.9%) | 4 (19.0%) | |
60–69 years | 245 (26.5%) | 7 (33.3%) | |
70–79 years | 145 (16.7%) | 7 (33.3%) | |
>80 years | 49 (5.3%) | 0 (0.0%) | |
Body mass index, mean (SD), kg/m2 | 28.1 (±7.1) | 28.5 (±7.4) | 0.805 |
BMI < 30 | 628 (68.0%) | 12 (57.1%) | 0.444 |
Class 1 obesity | 165 (17.9%) | 5 (23.8%) | |
Class 2 obesity | 62 (6.7%) | 3 (14.3%) | |
Class 3 obesity | 69 (7.5%) | 1 (4.8%) | |
Fitzpatrick skin color scale | |||
1 | 18 (1.9%) | 0 (0.0%) | 0.975 |
2 | 492 (53.2%) | 12 (57.1%) | |
3 | 344 (37.2%) | 8 (38.1%) | |
4 | 57 (6.2%) | 1 (4.8%) | |
5 | 8 (0.9%) | 0 (0.0%) | |
6 | 5 (0.5%) | 0 (0.0%) |
Legend: Data are presented as n (x%) for dichotomous variables, mean (±SD) for continuous demographic variables with normal distribution and median [interquartile range] with non-normal distribution. * The chi-square test or Fisher’s exact test with, if necessary, the exact calculation of Fisher, was used for the ordinal or nominal data analysis. We used the Student’s t-test to compare age and BMI.