. Author manuscript; available in PMC: 2010 Mar 1.

Published in final edited form as: Obstet Gynecol. 2009 Mar;113(3):601–608. doi: 10.1097/AOG.0b013e3181998998

Table 6. Multivariable model of risk factors for PFR after hysterectomy in Olmsted County, Minnesota women who had minimal or no change in overall pelvic organ prolapse severity between the two procedures (Group A)^*.

Risk Factor Assessment at Hysterectomy	Cases (n = 43)	Controls (n =43)	OR (95% CI) ^†	p-value
Age, Mean ± SD	49.9 ± 13.3	50.2 ± 12.8	1.1 (0.7,1.7)	0.78
BMI, Mean ± SD	26.0 ± 4.3	25.7 ± 4.3	0.9 (0.8,1.1)	0.22
Chronic pulmonary disease^‡	9 (20.9%)	1 (2.3%)	22 (1.5,328)	0.02
Uterine prolapse	38 (88.4%)	27 (62.8%)	25 (2.1,300)	0.01
Cystocele	37 (86.1%)	33 (76.7%)	1.6 (0.3,8.7)	0.60

This model based on 43 pairs (n=86) with complete data out of 54 pairs in Group A.

^†

Odds ratio (OR) adjusted for age at time of hysterectomy.

^‡

Includes asthma, bronchiectasis, chronic obstructive pulmonary disease, and interstitial lung disease.

Table 6. Multivariable model of risk factors for PFR after hysterectomy in Olmsted County, Minnesota women who had minimal or no change in overall pelvic organ prolapse severity between the two procedures (Group A)*.