TABLE 1.

Cumulative incidence of cardiovascular and metabolic conditions in women who underwent hysterectomy with ovarian conservation compared to referent women (overall analyses; all ages)

Condition	Hysterectomy				Referent Women				Unadjusted Models^b		Adjusted Models^c
Condition	N at Risk	Person-years	N of Events	Absolute Risk^a % (95% CI)	N at Risk	Person-years	N of Events	Absolute Risk^a % (95% CI)	Hazard Ratio (95% CI)	P	Hazard Ratio (95% CI)	P
Hyperlipidemia	1,979	30,055	1,069	73.1 (70.1-76.0)	2,015	29,792	906	69.3 (66.1-72.4)	1.20 (1.10-1.31)	<0.001	1.14 (1.05-1.25)	0.002
Hypertension	1,943	32,383	871	62.6 (59.4-65.8)	1,963	31,605	715	56.1 (52.8-59.5)	1.20 (1.09-1.32)	<0.001	1.13 (1.03-1.25)	0.01
Diabetes	2,037	38,670	631	49.6 (46.3-53.0)	2,056	36,999	535	45.9 (42.6-49.4)	1.15 (1.03-1.28)	0.01	1.09 (0.97-1.22)	0.14
Obesity	1,815	32,260	499	36.0 (33.1-39.1)	1,908	32,532	406	31.7 (28.9-34.8)	1.24 (1.09-1.41)	<0.001	1.18 (1.04-1.35)	0.01
Cardiac arrhythmias	2,043	38,831	620	45.1 (42.0-48.3)	2,051	37,695	492	39.5 (36.4-42.8)	1.24 (1.10-1.38)	<0.001	1.17 (1.05-1.32)	0.006
Coronary artery disease	2,072	41,904	322	24.1 (21.5-27.0)	2,078	40,143	222	17.7 (15.4-20.3)	1.42 (1.20-1.67)	<0.001	1.33 (1.12-1.58)	0.001
Congestive heart failure	2,089	44,116	127	9.5 (7.8-11.5)	2,084	41,283	130	10.0 (8.3-12.0)	0.88 (0.69-1.12)	0.29	0.80 (0.62-1.02)	0.07
Stroke	2,087	43,505	171	12.2 (10.3-14.5)	2,087	41,080	145	11.8 (9.9-13.9)	1.11 (0.89-1.37)	0.37	1.01 (0.81-1.26)	0.91

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).

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

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).