Table 1. Baseline characteristics of cohort membersa (total N = 691,268).
Exposed to 5α-RI drugs vs unexposed. Men exposed to 5α-RIs differed from men unexposed to 5α-RIs for several characteristics relevant to the frequency or to the detection of sexual dysfunction. Notably, exposed men had more years in the cohort (i.e., longer duration of time represented in the medical record). Men exposed to finasteride ≤1.25 mg daily were younger and were less likely to have prostate disease than men exposed to finasteride >1.25 mg daily or exposed to dutasteride.
Characteristic | Cohort | ||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Unexposed (N = 673,793) | Finasteride ≤1.25 mg (N = 7,419) | Finasteride >1.25 mg (N = 7,187) | Dutasteride (N = 1,921) | All exposed (N = 17,475) | |||||||||||
Mean year of cohort entry | 2005 ± 6.00 | 2006 ± 5.42 | 2004 ± 6.93 | 2005 ± 7.04 | 2005 ± 6.42 | ||||||||||
Median year of cohort entry | 2006 | 2006 | 2004 | 2007 | 2005 | ||||||||||
Median age at cohort entry | 38.9 | 30.4 | 63.8 | 64.3 | 51.0 | ||||||||||
IQR of age at cohort entry | 28.7–53.6 | 26.2–36.8 | 53.6–71.5 | 56.2–72.4 | 30.8–66.3 | ||||||||||
Median years in cohort (IQR) | 0.9 (0.0–5.6) | 6.1 (2.1–11.3) | 8.5 (2.2–14.6) | 5.4 (1.2–13.0) | 7.1 (2.1–13.1) | ||||||||||
Attribute | N | % | N | % | N | % | N | % | N | % | |||||
Use of prescription NSAIDb | 180,375 | 26.8 | 2,604 | 35.1 | 5,037 | 70.1 | 1,346 | 70.1 | 9,759 | 55.8 | |||||
Hypertensionc | 117,585 | 17.5 | 945 | 12.7 | 4,285 | 59.6 | 1,035 | 53.9 | 6,942 | 39.7 | |||||
Smokingc | 111,798 | 16.6 | 1,336 | 18.0 | 3,033 | 42.2 | 798 | 41.5 | 5,663 | 32.4 | |||||
Vascular diseasec | 88,752 | 13.2 | 538 | 7.3 | 3,644 | 50.7 | 835 | 43.5 | 5,623 | 32.2 | |||||
Use of diuretic drugb | 60,680 | 9.0 | 418 | 5.6 | 3,074 | 42.8 | 726 | 37.8 | 4,696 | 26.9 | |||||
Diabetes mellitusc | 45,431 | 6.7 | 150 | 2.0 | 1,599 | 22.2 | 352 | 18.3 | 2,348 | 13.4 | |||||
Use of SSRI drugb | 35,570 | 5.3 | 966 | 13.0 | 1,183 | 16.5 | 269 | 14.0 | 2,614 | 15.0 | |||||
Depressionc | 34,586 | 5.1 | 673 | 9.1 | 1,070 | 14.9 | 195 | 10.2 | 2,101 | 12.0 | |||||
Diagnosis of alcoholismc | 31,310 | 4.6 | 186 | 2.5 | 264 | 3.7 | 36 | 1.9 | 535 | 3.1 | |||||
Diagnosis of obesityc | 30,069 | 4.5 | 365 | 4.9 | 797 | 11.1 | 188 | 9.8 | 1,504 | 8.6 | |||||
Prostate diseasec | 24,936 | 3.7 | 181 | 2.4 | 4,438 | 61.8 | 940 | 48.9 | 6,349 | 36.3 | |||||
Prostate cancerc | 18,207 | 2.7 | 57 | 0.8 | 770 | 10.7 | 187 | 9.7 | 1,155 | 6.6 | |||||
Use of cyclovir drugb | 17,850 | 2.6 | 673 | 9.1 | 591 | 8.2 | 113 | 5.9 | 1,468 | 8.4 | |||||
History of prostate surgeryd | 13,096 | 1.9 | 65 | 0.9 | 1,428 | 19.9 | 291 | 15.1 | 2,073 | 11.9 | |||||
HSVc | 6,647 | 1.0 | 327 | 4.4 | 169 | 2.4 | 25 | 1.3 | 543 | 3.1 | |||||
Alopeciac | 2,938 | 0.4 | 3,078 | 41.5 | 457 | 6.4 | 9 | 0.5 | 3,574 | 20.5 | |||||
Peyronie’s diseasec | 840 | 0.1 | 41 | 0.6 | 47 | 0.7 | 18 | 0.9 | 111 | 0.6 | |||||
Unexposed | Finasteride ≤1.25 mg | Finasteride >1.25 mg | Dutasteride | All exposed | |||||||||||
Attributee | N | Median | IQR | N | Median | IQR | N | Median | IQR | N | Median | IQR | N | Median | IQR |
Body mass index | 335,057 | 26.9 | 24.3–30.4 | 6,503 | 25.8 | 24.0–28.1 | 6,762 | 26.9 | 24.4–30.2 | 1,732 | 27.6 | 24.9–30.8 | 15,933 | 26.4 | 24.3–29.3 |
Triglycerides | 177,526 | 100.0 | 69.0–149.0 | 4,535 | 88.0 | 63.0–127.0 | 4,057 | 95.5 | 68.0–136.0 | 792 | 99.0 | 73.0–141.1 | 10,009 | 92.0 | 66.0–132.0 |
LDL cholesterol | 154,340 | 107.0 | 85.0–129.5 | 4,384 | 112.0 | 93.0–132.0 | 3,722 | 88.0 | 69.0–112.0 | 737 | 90.0 | 70.0–113.0 | 9,437 | 100.0 | 78.0–123.0 |
Magnesium | 117,488 | 2.0 | 1.9–2.1 | 763 | 2.0 | 1.9–2.2 | 3,677 | 2.0 | 1.9–2.1 | 741 | 2.0 | 1.9–2.1 | 5,824 | 2.0 | 1.9–2.1 |
Hemoglobin A1c | 48,722 | 5.6 | 5.3–6.4 | 786 | 5.3 | 5.1–5.6 | 1,862 | 5.8 | 5.5–6.5 | 412 | 5.8 | 5.4–6.5 | 3,396 | 5.7 | 5.3–6.3 |
Notes:
Selection criteria for cohort: all men with at least one diagnosis in the medical record and between 16 and 89 years old as of their last encounter.
Based on prescription data in the electronic medical record.
Based on ICD-9 codes in the electronic medical record.
Based on ICD-9 procedure codes, AMA current procedural terminology (CPT) codes, and institution-specific billing codes.
Value for each individual is the median of all values in the electronic medical record.