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. Author manuscript; available in PMC: 2019 Oct 1.
Published in final edited form as: Urology. 2018 Jul 7;120:96–102. doi: 10.1016/j.urology.2018.06.037

Table 2.

Percentages may not sum to 100 because of rounding.

Algorithm 1 (n=14,756) Algorithm 6 (n=7,499) Algorithm 8 (n=2,572)
Age, n (%)
66–69 3595 (24.4) 3371 (45.0) 900 (35.0)
70–74 4485 (30.4) 4128 (55.1) 942 (36.6)
75–79 3809 (25.8) excluded# 511 (19.9)
80–84 2071 (14.0) excluded# 162 (6.3)
85+ 796 (5.4) excluded# 57 (2.2)
Race, n (%)
White 13063 (88.8) 6554 (87.6) 2291 (89.4)
Black 1220 (8.3) 663 (8.9) 197 (7.7)
Asian 88 (0.6) 40 (0.5) 12 (0.5)
Hispanic/Other/Unknown* 334 (2.3) 221 (2.9) 62 (2.5)
Socioeconomic status**, n (%)
Low 4440 (30.1) 2215 (29.5) 654 (25.4)
Medium 5133 (34.8) 2550 (34) 828 (32.2)
High 5183 (35.1) 2734 (36.5) 1090 (42.4)
Comorbidity score***, n (%)
0 8652 (58.6) 5019 (66.9) 1626 (63.2)
1 3270 (22.2) 1717 (22.9) 521 (20.3)
2 1568 (10.6) 763 (10.2) 237 (9.2)
3 or higher 1266 (8.6) excluded# 188 (7.3)
*

Categories combined due to small cell sizes

**

Socioeconomic status is defined by the median income in a ZIP code and divided into tertiles.

***

Comorbidity score of 0 indicates no comorbidities, while a score of 3 or more indicates severe comorbidities.

#

Excluded according to the criteria in the algorithm.