Skip to main content
. Author manuscript; available in PMC: 2019 May 1.
Published in final edited form as: Menopause. 2018 May;25(5):483–492. doi: 10.1097/GME.0000000000001043

TABLE 3.

Cumulative incidence of cardiovascular and metabolic conditions in strata by hysterectomy indicationa

Hysterectomy
Referent Women
Unadjusted
Modelsc
Adjusted
Modelsd
Condition N at
Risk
Person
-years
N of
Events
Absolute Riskb
% (95% CI)
N at
Risk
Person
-years
N of
Events
Absolute Riskb
% (95% CI)
Hazard Ratio
(95% CI)
P Hazard Ratio
(95% CI)
P
Leiomyomas
Hyperlipidemia 761 10,596 433 77.4 (72.6-82.0) 783 10,773 358 72.6 (67.0-77.9) 1.25 (1.09-1.43) 0.001 1.22 (1.06-1.40) 0.004
Hypertension 763 11,899 355 63.6 (58.6-68.6) 760 11,532 284 60.8 (54.8-66.8) 1.22 (1.05-1.42) 0.01 1.15 (0.99-1.34) 0.07
Diabetes 801 14,367 248 51.2 (45.7-56.9) 810 13,904 207 48.6 (42.9-54.5) 1.17 (0.98-1.39) 0.09 1.14 (0.95-1.36) 0.16
Obesity 710 12,150 183 34.7 (30.0-39.9) 745 12,134 160 32.2 (27.7-37.3) 1.14 (0.93-1.41) 0.21 1.09 (0.89-1.35) 0.41
Cardiac arrhythmias 797 14,330 250 48.8 (43.7-54.3) 809 14,168 196 41.8 (36.6-47.4) 1.32 (1.10-1.58) 0.003 1.28 (1.07-1.54) 0.007
Coronary artery disease 815 15,621 116 24.1 (19.8-29.2) 818 15,051 101 21.4 (17.3-26.3) 1.15 (0.89-1.50) 0.28 1.11 (0.85-1.45) 0.44
Congestive heart failure 824 16,616 47 9.6 (6.9-13.4) 823 15,562 50 10.3 (7.5-14.0) 0.86 (0.58-1.26) 0.44 0.82 (0.55-1.21) 0.31
Stroke 821 16,314 67 13.8 (10.5-18.0) 824 15,496 61 12.7 (9.6-16.8) 1.05 (0.75-1.48) 0.77 1.03 (0.73-1.46) 0.87
Menstrual disorders
Hyperlipidemia 518 8,435 282 69.9 (64.2-75.4) 521 8,337 240 68.8 (62.8-74.6) 1.23 (1.04-1.45) 0.02 1.09 (0.91-1.30) 0.35
Hypertension 506 9,238 214 58.7 (52.6-65.0) 513 9,077 170 51.3 (45.1-57.7) 1.30 (1.07-1.59) 0.009 1.21 (0.98-1.49) 0.07
Diabetes 525 10,538 163 49.4 (43.1-56.1) 529 10,090 149 45.1 (38.9-51.7) 1.09 (0.88-1.36) 0.42 1.06 (0.85-1.33) 0.61
Obesity 470 8,736 144 38.5 (32.9-44.7) 486 8,695 114 33.6 (28.4-39.5) 1.26 (0.99-1.61) 0.06 1.14 (0.89-1.47) 0.31
Cardiac arrhythmias 523 10,564 146 37.7 (32.1-44.0) 526 10,373 104 31.7 (26.3-37.8) 1.41 (1.10-1.81) 0.006 1.25 (0.96-1.62) 0.10
Coronary artery disease 530 11,345 75 21.7 (17.0-27.3) 533 11,008 39 12.5 (8.7-17.8) 1.97 (1.34-2.89) <0.001 1.81 (1.21-2.72) 0.004
Congestive heart failure 533 11,806 28 7.6 (4.9-11.7) 532 11,229 18 6.4 (3.8-10.8) 1.49 (0.83-2.67) 0.19 1.14 (0.62-2.11) 0.68
Stroke 533 11,684 32 8.9 (5.9-13.3) 534 11,149 29 9.5 (6.6-13.5) 1.06 (0.65-1.74) 0.82 0.86 (0.50-1.49) 0.60
Uterine prolapse
Hyperlipidemia 408 6,290 218 71.1 (63.9-78.0) 415 6,189 177 67.9 (60.3-75.3) 1.22 (1.01-1.47) 0.04 1.16 (0.96-1.41) 0.12
Hypertension 388 6,264 193 69.4 (61.1-77.3) 395 6,194 158 60.5 (53.2-67.9) 1.17 (0.95-1.43) 0.13 1.10 (0.89-1.35) 0.39
Diabetes 414 8,014 142 54.1 (46.6-62.0) 412 7,375 105 45.3 (37.8-53.5) 1.23 (0.97-1.57) 0.09 1.14 (0.89-1.46) 0.30
Obesity 368 6,436 110 39.6 (32.9-47.0) 393 6,838 72 29.2 (22.8-37.0) 1.65 (1.23-2.22) <0.001 1.59 (1.17-2.14) 0.003
Cardiac arrhythmias 416 8,011 135 48.4 (41.1-56.3) 413 7,516 122 47.7 (40.4-55.5) 0.95 (0.75-1.20) 0.67 0.87 (0.68-1.11) 0.26
Coronary artery disease 420 8,717 81 27.1 (21.5-33.8) 421 8,079 56 19.2 (14.6-25.0) 1.29 (0.91-1.82) 0.15 1.27 (0.89-1.81) 0.18
Congestive heart failure 425 9,176 35 11.7 (8.0-17.0) 421 8,302 47 16.6 (12.3-22.2) 0.62 (0.40-0.97) 0.03 0.59 (0.38-0.92) 0.02
Stroke 425 9,084 45 14.9 (10.8-20.4) 421 8,202 45 18.3 (13.6-24.4) 0.86 (0.57-1.31) 0.49 0.77 (0.50-1.18) 0.22
a

A total of 308 women with other indications for hysterectomy were not included in the stratified analyses.

b

Absolute cumulative risk at 30 years after hysterectomy (or index) calculated using the Kaplan-Meier method. The estimates were adjusted using inverse probability weights derived from a logistic regression model including all 20 chronic conditions present at baseline, years of education (≤12, 13-16, >16, unknown), race (white vs nonwhite), and age and calendar year at baseline (continuous). These adjustments were performed separately in each stratum to maximize the balance at baseline.

c

Hazard ratios calculated using Cox proportional hazards models with age as the time scale.

d

Hazard ratios calculated using Cox proportional hazards models with age as the time scale and adjusted using inverse probability weights derived from a logistic regression model including all 20 chronic conditions present at baseline, years of education (≤12, 13-16, >16, unknown), race (white vs nonwhite), and age and calendar year at baseline (continuous). These adjustments were performed separately in each stratum to maximize the balance at baseline.