The aim of this case-control study was to identify etiologic factors predic
tive for the development of severe pelvic organ prolapse. Three hundred and
sixty-eight controls from a database describing pelvic organ support ill t
he general population were identified as having known good pelvic organ sup
port. Eighty-seven cases were identified from a urogynecology clinic with s
evere pelvic organ prolapse. The risk of severe prolapse was modeled using
stepwise multiple logistic regression analysis. Additional analyses using c
hi (2) and two-sample t-tests were conducted to determine differences in me
ans for individual variables. Variables examined included age, gravidity, p
arity, number of vaginal deliveries, weight of largest infant delivered vag
inally, menopause status, race, body mass index prior to pelvic surgery, an
d medical illnesses. The following four variables were selected in the regr
ession analysis as predicting severe prolapse: age, weight of largest vagin
al delivery, hysterectomy and previous prolapse surgery. Other variables th
at demonstrated statistically significant differences between groups by chi
(2) and two-sample t-tests were gravidity, parity, number of vaginal deliv
eries, menopausal status, race, history of incontinence surgery and the pre
sence of hypertension. Variables that did not demonstrate any significant d
ifferences were body mass index, the presence of chronic obstructive pulmon
ous disease and diabetes mellitus. Advancing age, increasing weight of infa
nts delivered vaginally, a history of hysterectomy and a history of previou
s prolapse surgery were found to be the strongest etiologic predictors of s
evere pelvic organ prolapse in our population.