Abstract
Introduction and Hypothesis
The purpose of this study is to describe risk factors for post-operative urinary tract infection (UTI) the first year after stress urinary incontinence surgery.
Methods
Multivariable logistic regression analyses were performed on data from 1,252 women randomized in two surgical trials, Stress Incontinence Surgical Treatment Efficacy Trial (SISTEr) and Trial Of Mid-Urethral Slings (TOMUS).
Results
Baseline recurrent UTI (rUTI; ≥ 3 in 12 months) increased the risk of UTI in the first 6 weeks in both study populations, as did sling procedure and self-catheterization in SISTEr, and bladder perforation in TOMUS. Baseline rUTI, UTI in first 6 weeks, and PVR > 100 cc at 12 months were independent risk factors for UTI between 6 weeks and 12 months in the SISTEr population. Few (2.3-2.4%) had post-operative rUTI, precluding multivariable analysis. In women with pre-operative rUTI, successful surgery (negative cough stress test) at 1 year did not appear to decrease the risk of persistent rUTI.
Conclusions
Pre-operative rUTI is the strongest risk factor for post-operative UTI.
Keywords: Urinary tract infection, Stress urinary incontinence surgery, Recurrent urinary tract infection, Risk factors
Introduction
Urinary tract infections (UTIs) are common in women and result in considerable individual and societal burden.1 Risk factors for UTIs have been investigated predominantly in young and postmenopausal women. Little scientific investigation has been undertaken to delineate risk factors in surgical cohorts despite the fact that approximately one-third of women are diagnosed with UTI after stress urinary incontinence surgery. 2,3
Urinary incontinence (UI) is also common.4,5 UI and UTI are associated in multiple, large, population-based studies: women with a history of UTI are more likely to have UI and women with UI are at increased risk for UTI.6,-7 Women with recurrent UTI, generally defined as 3 or more UTIs in one year, have up to a fivefold risk of UI and have more severe incontinence than women without recurrent UTI.8,9
Surgical intervention for pelvic floor disorders may modify the risk of UTI. Some risks factors for UTIs, such as prolapse, may improve after surgery. Others, such as obstruction from an anti-incontinence procedure or exposure to bladder instrumentation, may predispose to UTI.A common, but unproven, perception is that UI causes recurrent UTI and that successful stress urinary incontinence (SUI) surgery can “cure” recurrent UTI.
Given an incomplete understanding of the role of surgery in modifying the risk of UTIs, or in positively impacting recurrent UTI, the aims of this study are to describe, in two cohorts of women undergoing surgery for SUI, (1) risk factors for UTI in the post-operative period to 6 weeks, and in the first post-operative year, (2) risk factors for recurrent UTIs (≥ 3 in one year) in the first post-operative year, and (3) the association between successful surgical treatment of patients with SUI and the persistence of recurrent UTI in women with a pre-operative history of recurrent UTI.
Methods
These analyses used data from two large randomized trials that compared operations for treatment of female stress urinary incontinence. The primary outcomes of both trials have been previously reported.9,10 Briefly, the Stress Incontinence Surgical Treatment Efficacy trial (SISTEr) randomized 655 women to either fascial sling or Burch colposuspension; concomitant abdominal surgery was allowed. The Trial Of Mid-Urethral Slings (TOMUS) randomized 597 women to one of two synthetic mid-urethral sling routes, retropubic (RMUS) vs. transobturator (TMUS); concomitant abdominal surgery was not allowed. Nearly all women received antibiotic prophylaxis at surgery.Participants in both trials were wellcharacterized at baseline with regard to demographics, comorbidities, physical examination findings, sexual function and continence status.
Both studies recorded baseline recurrent UTI history, individual UTIs during the first 6 weeks after surgery and recurrent UTIs (3 or more) between 6 weeks and 12 months after surgery; only one trial (SISTEr) recorded each individual UTI between 6 weeks and 12 months. To document baseline recurrent UTIs in both studies, the patient was asked “Have you had more than 3 episodes of a urinary tract infection, treated with antibiotics, in the past 12 months?” For recurrent UTIs after surgery in TOMUS, physicians were asked to document if there was evidence (including patient self-report) of recurrent UTI which was defined as “presumed UTI with treatment, > 3 in 1 year after 6 week visit.” In SISTEr, physicians were asked to document if there was evidence (including patient self-report) of all episodes of cystitis post-surgery. Recurrent UTI was defined as three or more such episodes between 6 weeks and 12 months post-surgery.
Data on UTI in the first 6 weeks were not provided by 14 women in SISTEr and 9 women in TOMUS; 93 women in SISTEr and 63 women in TOMUS had no evidence of UTI before 12 months follow-up but as they did not provide complete one-year data on UTI, they are excluded from one-year analyses. Therefore, the analytical samples for UTI during the first six weeks were 641 (SISTEr) and 588 (TOMUS); for recurrent UTI during the first post-operative year were 562 (SISTEr) and 534 (TOMUS) and for any UTI during first year, 562 (SISTEr only).
We defined successful treatment of SUI as a negative cough stress test at 300-cc bladder volume 1 year after surgery, cystocele as anterior wall prolapse at or below the hymen, and UTI as patient report of symptoms treated at the providers’ discretion with antibiotics.
Most analyses were carried out in parallel for the SISTEr and TOMUS participants as the trials had different inclusion and exclusion criteria representing different populations. For a sub-group analysis of women with pre-operative recurrent UTIs we combined data from the two samples. Frequency distributions with percentages were reported for categorical variables, and means with standard deviation (SD) were presented for continuous variables. For each outcome measure, bivariate analyses of the outcome with participant characteristics were performed using logistic regression analysis. Multivariable logistic regression analysis models were then computed, including all the covariates that were significantly associated with the outcome in either trial or were thought to be of clinical relevance to the outcome. Odds ratios (ORs) with corresponding 95% confidence intervals (CI) are reported. Statistical analyses were performed using SAS version 9.2. A 5% two-sided significance level was used for all statistical testing.
Results
The mean ages for the SISTEr and TOMUS samples were 51.9 (SD 10.3) and 52.9 (SD 11.0), respectively. Three hundred twenty nine women were randomized to Burch, 326 to sling, 298 to RMUS and 299 to TMUS. At baseline, 30% of women in each sample were pre-menopausal and approximately one-third were on systemic hormone therapy. Seven percent had diabetes mellitus, 14% were current smokers and 89% were parous. In the SISTEr sample, 25%, 59%, and 16% had stages 0/I, II, and III/IV pelvic organ prolapse, respectively. In the TOMUS population, 45%, 47% and 8% had stages 0/I, II, and III/IV prolapse, respectively. At surgery, 98% received prophylactic intravenous antibiotics. In the SISTEr group, 58% underwent concomitant surgery, while in the TOMUS group, 25% did so. In both samples, 3% sustained a bladder perforation. After surgery, 30 (5%) and 1 (0%) of women in the SISTEr and TOMUS groups, respectively, had some form of catheterization for more than 6 weeks and 3% and 1%, respectively, underwent lysis of suture, sling or adhesions because of voiding dysfunction.
One year after surgery, 3% had undergone surgical retreatment for SUI, 74% were sexually active, 6% had a post-void residual urine (PVR) > 100 cc, and 13% had a cystocele on examination. In the SISTEr sample, 4% used vaginal estrogen and 33% systemic estrogen, while in the TOMUS sample, 12% used vaginal and 24% systemic estrogen. At one year, 12% and 19% of women in the SISTEr and TOMUS samples, respectively, met the study criteria for surgical failure.
Eighty-seven women (7%) enrolled in TOMUS (n=42) and SISTEr (n=45) reported a history of pre-operative recurrent UTI, as evidenced by 3 or more UTIs in the year preceding their study surgery. Women with diabetes pre-operatively were more likely to report recurrent UTI at baseline (p=0.02 in TOMUS and 0.03 in SISTEr); lower occupational score was also associated with recurrent UTI in women in the SISTEr population only. Other baseline characteristics, including age, race, smoking, hormone status, prolapse stage, and genital hiatus length were not associated with baseline recurrent UTI.
During the first 6 weeks after surgery, UTI was reported by 33 of 321 (10%), 78 of 320 (24%), 34 of 293 (12%), and 21 of 295 (7%) women undergoing Burch, fascial sling, RMUS, and TMUS, respectively. Of women with 1-year data in SISTEr, 141 of 562 (25 %) reported at least one UTI between 6 weeks and 12 months after surgery. Thirteen women (2% of women with 1-year data) in both SISTEr and TOMUS reported 3 or more UTIs in the year after surgery. Characteristics of each study population between 6 weeks and 12 months after surgery are shown in Table 2.
Table 2.
Bivariate associations of participant characteristics with any UTI between 6wks and 12 months post-surgery: SISTEr.
| Any UTI in 6 weeks to 12 months | |||||
|---|---|---|---|---|---|
|
| |||||
| Total (n=562) |
Yes (n=151) | No (n=411) | p-value | OR | |
| Treatment | 0.12 | ||||
| Burch | 269 | 64(42%) | 205(50%) | ||
| Sling | 293 | 87(58%) | 206(50%) | 1.35 (0.93,1.97) | |
| Baseline Characteristics Age, years, mean(SD) | 562 | 52.5(10.6) | 52.4(9.8) | 0.88 | 1.01 (0.84-1.22)* |
| Systemic Hormone Therapy use | 0.07 | ||||
| No | 203 | 66(44%) | 137(33%) | ||
| Yes | 196 | 47(31%) | 149(36%) | 0.65 (0.42,1.02) | |
| Pre-Menopausal | 162 | 37(25%) | 125(30%) | 0.61 (0.38,0.98) | |
| Diabetes | 0.50 | ||||
| No | 524 | 139(92%) | 385(94%) | ||
| Yes | 38 | 12(8%) | 26(6%) | 1.28 (0.63,2.60) | |
| Smoking Status | 0.55 | ||||
| Never smoking | 311 | 79(52%) | 232(56%) | ||
| Former smoking | 181 | 54(36%) | 127(31%) | 1.25 (0.83,1.88) | |
| Current smoking | 70 | 18(12%) | 52(13%) | 1.02 (0.56,1.84) | |
| Prolapse Stage | 0.68 | ||||
| Stage 0/I | 130 | 37(25%) | 93(23%) | ||
| Stage II | 338 | 92(61%) | 246(60%) | 0.94 (0.60,1.47) | |
| Stage III/IV | 94 | 22(15%) | 72(18%) | 0.77 (0.42,1.41) | |
| Pre-op GH (mean(SD) | 561 | 3.7(1.1) | 3.6(1.3) | 0.6 | 1.04 (0.90,1.21) |
| Vaginal Deliveries | 0.74 | ||||
| No | 52 | 15(10%) | 37(9%) | ||
| Yes | 510 | 136(90%) | 374(91%) | 0.90 (0.48,1.69) | |
| Occupational Scores, | 549 | 54.9(25.3) | 57.9(24.4) | 0.20 | 1.00 (0.99,1.00) |
| mean(SD)Recurrent UTIs at Baseline | 0.006 | ||||
| No | 523 | 133(88%) | 390(95%) | ||
| Yes | 39 | 18(12%) | 21(5%) | 2.51 (1.30,4.86) | |
| Surgical characteristics | |||||
| Concomitant Surgery | 0.52 | ||||
| No | 232 | 59(39%) | 173(42%) | ||
| Yes | 330 | 92(61%) | 238(58%) | 1.13 (0.77,1.66) | |
| Bladder Perforation | 0.18 | ||||
| No | 545 | 144(95%) | 401(98%) | ||
| Yes | 17 | 7(5%) | 10(2%) | 1.95 (0.73,5.22) | |
| Antibiotic Prophylaxis at Surgery | 0.20 | ||||
| No | 14 | 6(4%) | 8(2%) | ||
| Yes | 527 | 142(96%) | 385(98%) | 0.49 (0.17,1.44) | |
| Follow-up characteristics | |||||
| Voiding Management at Discharge to 6wks | 0.09 | ||||
| Self voiding only | 264 | 64(42%) | 200(49%) | ||
| CISC | 130 | 45(30%) | 85(21%) | 1.65 (1.05,2.62) | |
| Indwelling catheter only | 163 | 42(28%) | 121(30%) | 1.08 (0.69,1.70) | |
| UTI in 1st 6wks | 0.001 | ||||
| No | 447 | 107(71%) | 340(84%) | ||
| Yes | 111 | 44(29%) | 67(16%) | 2.09 (1.35,3.23) | |
| Sexual Activity | 0.52 | ||||
| No | 137 | 38(28%) | 99(25%) | ||
| Yes | 389 | 97(72%) | 292(75%) | 0.87 (0.56,1.34) | |
| Stress Test Failure | 0.84 | ||||
| Missing | 38 | 19 | 19 | ||
| No | 466 | 118(89%) | 348(89%) | ||
| Yes | 58 | 14(11%) | 44(11%) | 0.94 (0.50,1.77) | |
| Surgical Retreatment for SUI | 0.14 | ||||
| No | 538 | 136(96%) | 402(99%) | ||
| Yes | 11 | 5(4%) | 6(1%) | 2.46 (0.74,8.20) | |
| Cystocele | 0.69 | ||||
| No | 461 | 114(88%) | 347(89%) | ||
| Yes | 59 | 16(12%) | 43(11%) | 1.13 (0.61,2.09) | |
| PVR>100 at 12 months | . | 0.02 | |||
| No | 460 | 108(88%) | 352(96%) | ||
| Yes | 30 | 15(12%) | 15(4%) | 3.26 (1.54,6.88) | |
| PVR at 12 month, | |||||
| mean(SD) | 509 | 40.2 (48.6) | 30.97(41.3) | 0.007 | 1.06 (1.02-1.11)* |
| Catheterization Use > 6 weeks | 0.02 | ||||
| No | 534 | 138(91%) | 396(96%) | ||
| Yes | 28 | 13(9%) | 15(4%) | 2.49 (1.15,5.36) | |
| Surgical Takedown | 0.002 | ||||
| No | 547 | 141(93%) | 406(99%) | ||
| Yes | 15 | 10(7%) | 5(1%) | 5.76 (1.94,17.1) | |
| Systemic Estrogen Use | 0.18 | ||||
| No | 362 | 104(69%) | 258(63%) | ||
| Yes | 200 | 47(31%) | 153(37%) | 0.76 (0.51,1.13) | |
| Vaginal Estrogen Use | 0.05 | ||||
| No | 540 | 141(93%) | 399(97%) | ||
| Yes | 22 | 10(7%) | 12(3%) | 2.36 (1.00,5.58) | |
OR was based on 10 per unit change
The bivariate associations of baseline and surgical characteristics with UTI in the first 6 weeks after surgery are summarized in Table 1. Sling surgery (in SISTEr only), history of recurrent UTI at baseline, advanced prolapse and bladder perforation (both in TOMUS only), and clean intermittent self-catheterization (CISC; reported in SISTEr only) were significantly associated with UTI in the postoperative period on bivariate analysis. After adjusting for any variable that was significant in either population, only a history of recurrent UTI was associated with UTI in the first 6 weeks in both study populations. In addition, in SISTEr, undergoing a sling (compared to Burch) and CISC (compared to self-voiding) also increased this risk. In TOMUS, bladder perforation also increased the risk.
Table 1. Bivariate associations of baseline and surgical characteristics with UTI in first 6 weeks: SISTEr and TOMUS.
| SISTEr | TOMUS | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
|||||||||
| Total (n=641) |
Yes (n=111) |
No (n=530) |
p-value | OR | Total (n=588) |
Yes (n=55) |
No (n=533) |
p-value | OR | |
| Treatment | <.0001 | 0.06 | ||||||||
| Burch/RM US | 321 | 33(30%) | 288(54%) | 293 | 34(62%) | 259(49%) | ||||
| Sling/TMU S | 320 | 78(70%) | 242(46%) | 2.81 (1.81--4.37) | 295 | 21(38%) | 274(51%) | 0.58 (0.33--1.03) | ||
| Age, mean(SD) | 641 | 53.1(10.0) | 51.7(10.3) | 0.18 | 1.01 (0.99--1.03) | 588 | 55.2(13.6) | 52.9(10.7) | 0.13 | 1.02 (0.99--1.05) |
| Systemic Hormone Therapy use | 0.63 | 0.22 | ||||||||
| No | 228 | 37(33%) | 191(36%) | 242 | 18(33%) | 224(42%) | ||||
| Yes | 217 | 42(38%) | 175(33%) | 1.24 (0.76--2.02) | 169 | 21(39%) | 148(28%) | 1.77 (0.91--3.43) | ||
| Pre-Menopausal | 195 | 32(29%) | 163(31%) | 1.01 (0.60--1.70) | 175 | 15(28%) | 160(30%) | 1.17 (0.57--2.38) | ||
| Diabetes | 0.8 | 0.84 | ||||||||
| No | 597 | 104(94%) | 493(93%) | 549 | 51(93%) | 498(93%) | ||||
| Yes | 44 | 7(6%) | 37(7%) | 0.90 (0.39--2.07) | 39 | 4(7%) | 35(7%) | 1.12 (0.38--3.27) | ||
| Smoking Status | 0.54 | 0.51 | ||||||||
| Never smoking | 347 | 61(55%) | 286(54%) | 314 | 33(60%) | 281(53%) | ||||
| Formerly smoking | 204 | 38(34%) | 166(31%) | 1.07 (0.69--1.68) | 197 | 17(31%) | 180(34%) | 0.80 (0.44--1.49) | ||
| Currently smoking | 90 | 12(11%) | 78(15%) | 0.72 (0.37--1.41) | 77 | 5(9%) | 72(14%) | 0.59 (0.22--1.57) | ||
| Prolapse Stage | 0.17 | 0.02 | ||||||||
| Stage 0/I | 157 | 20(18%) | 137(26%) | . | 262 | 20(36%) | 242(45%) | |||
| Stage II | 380 | 69(62%) | 311(59%) | 1.52 (0.89--2.60) | 278 | 25(45%) | 253(47%) | 1.20 (0.65--2.21) | ||
| Stage III/IV | 104 | 22(20%) | 82(15%) | 1.84 (0.95--3.57) | 48 | 10(18%) | 38(7%) | 3.19 (1.39--7.32) | ||
| Pre-op GH**, mean(SD) | 640 | 3.5(1.4) | 3.6(1.2) | 0.31 | 0.91 (0.77--1.09) | 588 | 3.6 (1.1) | 3.4 (1.0) | 0.21 | 1.18 (0.91--1.52) |
| Vaginal Deliveries | 0.7 | 0.13 | ||||||||
| No | 58 | 9(8%) | 49(9 %) | 70 | 3(5%) | 67(13%) | ||||
| Yes | 583 | 102(92%) | 481(91%) | 1.15 (0.55--2.43) | 518 | 52(95%) | 466(87%) | 2.49 (0.76--8.20) | ||
| Occupational Scores, mean(SD) | 627 | 58.7(23.5) | 56.7(24.8) | 0.43 | 1.00 (0.99--1.01) | 579 | 58. (21.5) | 59.7 (22.9) | 0.62 | 1.00 (0.98--1.01) |
| Recurrent UTIs at Baseline | 0.002 | 0.0002 | ||||||||
| No | 599 | 96(86%) | 503(95%) | 545 | 43(80%) | 502(94%) | ||||
| Yes | 42 | 15(14%) | 27(5%) | 2.91 (1.49--5.68) | 41 | 11(20%) | 30(6%) | 4.28 (2.01--9.13) | ||
| Concomitant Surgery | 0.59 | 0.08 | ||||||||
| No | 269 | 44(40%) | 225(42%) | 442 | 36(65%) | 406(76%) | ||||
| Yes | 372 | 67(60%) | 305(58%) | 1.12 (0.74--1.71) | 146 | 19(35%) | 127(24%) | 1.69 (0.93--3.05) | ||
| Bladder Perforation | 0.49 | 0.004 | ||||||||
| No | 624 | 107(96%) | 517(98%) | 573 | 50(91%) | 523(98%) | ||||
| Yes | 17 | 4(4%) | 13(2%) | 1.49 (0.48--4.65) | 15 | 5(9%) | 10(2%) | 5.23 (1.72--15.9) | ||
| Antibiotic Prophylaxis at Surgery | 0.08 | NA | ||||||||
| No | 14 | 5(5%) | 9(2%) | 5 | 0(0%) | 5(1%) | ||||
| Yes | 606 | 102(95%) | 504(98%) | 0.36 (0.12--1.11) | 583 | 55(100%) | 528(99%) | |||
| Voiding Management at Discharge to 6wks* | <0.0001 | |||||||||
| Self voiding only | 321 | 34(31%) | 287(54%) | N/A | ||||||
| CISC* | 138 | 48(44%) | 90(17%) | 4.50 (2.73--7.42) | ||||||
| Continuous catheter drainage | 181 | 28(25%) | 153(29%) | 1.54 (0.90--2.64) | ||||||
Refers to voiding management at any point between hospital discharge and 6 weeks; does not imply that catheter use was continuous for 6 weeks. Precise duration of catheter use is not known. CISC= clean intermittent self-catheterization. Voiding management data were not collected for TOMUS.
GH=genital hiatus length (cm)
In the SISTEr population, on bivariate analysis, factors associated with UTI between 6 weeks and 12 months included history of recurrent UTI at baseline, UTI during the first 6 weeks after surgery, PVR > 100 cc at 12 months, catheterization (any type) for > 6 weeks after surgery, and surgical take-down of anti-incontinence procedure (Table 2). After adjusting for these variables and treatment group, catheterization for > 6 weeks was no longer statistically significant, while the other variables remained significant. (Table 3)
Table 3. Results of multivariable logistic regression models of factors associated with UTI; OR (95% CI).
| Covariates | 1st 6 wks (SISTEr) |
1st 6 wks (TOMUS) |
6 wks to12 mo (SISTEr) |
|---|---|---|---|
| Treatment | |||
| Sling v Burch | 2.54 (1.58, 4.09) | N/A | 1.03 (0.66, 1.60) |
| RMUS v TMUS | N/A | 0.60 (0.33, 1.11) | N/A |
| Recurrent UTIs at Baseline | 3.58 (1.74, 7.35) | 4.87 (2.22, 10.7) | 2.51 (1.16, 5.42) |
| UTI during 1st 6 weeks | N/A | N/A | 1.90 (1.11, 3.27) |
| Catheter Using >6weeks | N/A | N/A | 1.48 (0.54, 4.02) |
| Prolapse Stage | |||
| Pre-op POP stage II vs 0/I | 1.37 (0.77, 2.43) | 1.24 (0.66,2.33) | -- |
| Pre-op POP stage III/IV vs 0/I | 1.58 (0.78, 3.23) | 2.76 (1.13,6.74) | -- |
| Voiding Management at Discharge to 6wks* | N/A | ||
| Continuous catheter vs self voiding | 1.36 (0.78, 2.37) | 0.86 (0.52, 1.42) | |
| CISC vs self voiding | 3.70 (2.20, 6.22) | 1.00 (0.57, 1.76) | |
| Bladder Perforation | 1.77 (0.52, 6.06) | 4.10 (1.26, 13.3) | -- |
| PVR >100 cc at 12 mo | N/A | N/A | 2.52 (1.14, 5.60) |
indicates that variable was not significant on univariate analysis and is not included in this model
N/A not applicable to this model
Note that only recurrent UTI was collected at 12 months for TOMUS and therefore 6 weeks to12 months results are limited to SISTEr population.
Significant bivariate risk factors (p< 0.05) for post-op recurrent UTI varied by study: in SISTEr, risks were pre-operative POP stages III/IV compared to stage II (OR 4.54; 95% CI 1.35, 15.2), PVR > 100 cc at 12 months (OR 7.19; 95% CI 1.76, 29.40), surgical relief of bladder neck obstruction by 12 months (OR 7.50; 1.51, 37.30), and age (per 10 years, OR 1.78; 1.04, 3.07) and in TOMUS risks were pre-operative history of recurrent UTI (OR 12.6; 4.02, 39.8), lack of antibiotic prophylaxis at surgery (OR 11.11; 1.12, 100.0), surgical relief of bladder neck obstruction (OR 10.80; 1.12, 10.40), and higher PVR at 12 months (OR for every 10 unit 1.09; 95% CI 1.01,1.18). The small number of women (13 in each study sample) that reported recurrent UTI post-operatively precluded multi-variable analysis.
Of the 87 women with a history of pre-operative recurrent UTI in both trials, 15 did not complete the 12 month visit and 1 received surgical retreatment prior to the 12 month visit, leaving 71 women for analysis of our aim regarding impact of successful treatment on pre-existing recurrent UTI. No woman in this sub-sample underwent surgical relief of bladder neck obstruction and 4% (3 of 71) required some type of catheterization (urethral, suprapubic or intermittent self-catheterization) for more than 6 weeks.
In this sub-sample of women with pre-operative recurrent UTI, 17% (12 of 71) were considered surgical treatment failures at 12 months. Eleven percent (8 of 71) reported recurrent UTI during the first post-operative year. Twenty-five percent (3 of 12) of women classified as a surgical failure at one year had recurrent UTI post-operatively compared to 8% (5 of 59) of women with successful surgical results; after adjusting for age and treatment assignment, this was not statistically significant (OR 2.69, 95% CI 0.38, 19.1).In women with persistent recurrent UTI post-operatively, mean age (SD) was 64.4 (11.4) years, compared to 52.4 (10.6) in women without recurrent UTI (p=0.01; OR 1.14, 95% CI 1.03, 1.26, controlling for treatment assignment and stress test failure). Other than age, no baseline or post-operative characteristic tested (including post-operative cystocele, sexual activity, systemic or vaginal estrogen therapy, post-void residual volume, or surgical success) was associated with recurrent UTI during this time period (all p values > 0.05).
Discussion
Our study demonstrated that postoperative UTIs within the first 6-weeks after surgery were common (7-24%) and comparable to other reports of postoperative UTI following incontinence and prolapse surgery (9-45%). 10, 12,13 Unique to this study, we analyzed numerous potentially modifiable risk factors associated with an increased risk of post-operative UTI, with the hope of developing a clinically relevant prediction tool. However, on multi-variable analysis, pre-operative recurrent UTI was the only risk factor that was consistently associated with an increased risk of UTI both in the 6-week postoperative period and the period between 6 weeks and 12 months.
While women classified as surgical successes were nearly three times more likely to resolve their recurrent UTIs than were women classified as surgical failures, this trend did not reach statistical significance. Of note, most (90%) women with pre-op recurrent UTI did not have post-op recurrent UTI, a clinically relevant finding that surgeons may use in counseling patients. The small numbers of women with postoperative recurrent UTI (n=13) limits our ability to identify significant risk factors that could be modified clinically to reduce this prevalence.
The clinical actions recommended to minimize the risk of post-operative UTI remain unclear. One randomized controlled trial using prophylactic antibiotics in women who had suprapubic catheters following POP or stress UI surgery found that prophylactic nitrofurantoin prevented postoperative UTIs.6 We are unaware of published randomized clinical trials of prophylactic antibiotics to prevent UTI after surgery in specific high risk groups or in women using CISC or continuous prolonged urethral drainage for voiding dysfunction after POP/UI surgery. A single decision analysis favored prophylactic antibiotics during CISC to manage postoperative voiding dysfunction after UI/POP surgery.12 As we did not systematically collected detailed information about prophylactic antibiotic use in women catheterizing after surgery, our study cannot contribute to this dearth of information. Despite similarly low rates of bladder perforation in the two trials (3%), bladder perforation was a risk factor for having a UTI in the first 6 weeks postoperatively in the TOMUS trial, but not in the SISTEr.. This may be related to post-perforation treatment patterns, including catheter duration or antibiotic use. The low numbers of women with a bladder perforations and a UTI in the SISTEr and TOMUS (4 and 5 women, respectively) limits our ability to explore this further. Intraoperative bladder perforation did not increase the risk of a UTI in the 6 weeks to 12 month time period in either trial.
PVR greater than 100 ml at 12 months increased the risk of UTI from 6 weeks to 12 months, a finding also noted in some, but not other studies.13,14 There is no evidence-based guidance for instituting CISC to treat an elevated PVR. Similarly, the role of an elevated PVR in the etiology of UTI is not well understood. More research is needed in these areas.15
We found that age was a risk factor for persistence of recurrent UTI after surgery, but not for isolated post-operative UTIs. Most of the research to date about UTI has focused on young healthy women or older infirm women; our research suggests that in the population of largely middle-aged and older women undergoing surgery, age may impact recurrent versus isolated post-operative UTIs differently.
Strengths of this study include the large number of surgical patients with a wide range of concomitant surgical procedures, thus increasing the generalizability of our results. Women were followed closely, in a standardized fashion. Most potentially relevant risk factors were measured and all post-operative factors were collected prospectively.
Some may consider the absence of urine cultures a limitation of our study. While we used a clinically rational definition of UTI in a similar way before and after surgery (as symptoms of bladder infection treated with antibiotics, regardless of whether a urinalysis or urine culture was done), patients’ recall may over- or under-estimate the true prevalence. Further clouding the issue is the fact that UI symptoms (eg, urgency and frequency or voiding dysfunction) may mimic UTI, especially in this population, such that a woman with continued incontinence after surgery may or may not perceive these symptoms to be due to a UTI. We have no knowledge of the natural history of UTI in un-operated women with or without UI. This may be a condition that waxes and wanes over time. However, the important clinical question is really whether women with recurrent UTIs perceive their UTIs to be less common after successful surgery, since most clinical treatment is initiated without confirmation by urine cultures. Further, the research definition for UTI is contentious and difficult. Traditional definitions, using urine cultures as a gold standard are problematic, requiring a priori critieria for which organisms are true uropathogens, and the appropriate cut-point for colony growth. The urine culture itself is coming under scrutiny with the advent of newer bacterial detection techniques, such as polymerase chain reaction testing for bacterial products. Clinicians, however, still rely on patient symptoms, with or without bacterial cultures, to care for patients. This primarily symptom-based definition of UTI is consistent with pharmaceutical literature in which UTI is considered present if any term sorting under the (Medical Dictionary for Regulatory Activitieshigh level term “UTI” is recorded as an adverse event.16
Even this large population was underpowered to answer our aim concerning the association between surgical success and resolution of pre-operative recurrent UTI. A post-hoc power analysis revealed that, in this sample of 71 women with recurrent UTIs at baseline (and completed 1 year data), in order to achieve 80% power, 213 women with pre-operative recurrent UTIs would be required. If we assume that the rate of recurrent UTI in women planning surgical management of SUI is similar to that seen in TOMUS and SISTEr, a population of over 3,000 women planning surgery would be needed to adequately evaluate the association between successful surgery and resolution of recurrent UTIs. Future meta-analysis of pooled, high-quality data could provide sufficient power to address this question.
The choice of outcome measure in defining surgical success is difficult. Because we were most interested in whether actual leakage was associated with recurrent UTIs, rather than bother or quality of life related to leakage, we chose the standardized cough stress test, a measure collected the same way in both studies. Our results may have differed had we used other measures of success.
Clinicians may use our findings to counsel women considering SUI surgery that the presence of pre-operative recurrent UTI increases the risk for post-operative UTI. However, the risk of persistent or de novo recurrent UTI is low and clinically reassuring, and appears similar to the rate in the general population. Our results suggest that women questioning whether surgery can “cure” their recurrent UTIs can be reassured that for most women with this condition, recurrent UTIs abate in the short-term (one year) after surgery. This may be more likely in women whose surgeries are successful, but a very large population is needed to explore this more definitively.
Randomized trials are needed to determine whether prevention strategies such as post-operative antibiotic prophylaxis or catheterization type, can reduce the high incidence of post-operative UTI.
Appendix
For SISTEr
Steering Committee
William Steers, MD, Chair (University of Virginia Charlottesville, VA); Ananias Diokno, MD, Veronica Mallett, MD (William Beaumont Hospital, Royal Oak, MI and Oakwood Hospital, Dearborn MI; U01 DK58231); Linda Brubaker, MD, MaryPat FitzGerald, MD, (Loyola University Medical Center, Maywood, IL; U01 DK60379); Holly E. Richter, PhD, MD, L. Keith Lloyd, MD, (University of Alabama, Birmingham, AL; U01 DK60380); Michael Albo, MD, Charles Nager, MD, (University of California, San Diego, CA; U01 DK60401); Toby C. Chai, MD, Harry W. Johnson, MD, (University of Maryland, Baltimore, MD; U01 DK60397); Halina M. Zyczynski, MD, Wendy Leng, MD (University of Pittsburgh, Pittsburgh, PA; U01 DK 58225); Philippe Zimmern, MD, Gary Lemack, MD (University of Texas Southwestern, Dallas, TX; U01 DK60395); Stephen Kraus, MD, Thomas Rozanski, MD (University of Texas Health Sciences Center, San Antonio, TX; U01 DK58234); Peggy Norton, MD, David Lesser, MD; (University of Utah, Salt Lake City, UT; U01 DK60393); Sharon Tennstedt, PhD, Anne Stoddard, ScD (New England Research Institutes, Watertown, MA; U01 DK58229); Debuene Chang, MD, John W. Kusek, PhD, Leroy M. Nyberg, MD, PhD (National Institute of Diabetes & Digestive & Kidney Diseases); Anne M. Weber, MD (National Institute of Child Health and Human Development).
Co-investigators
Rowell S. Ashford II, MD; Jan Baker, APRN; Diane Borello-France, PT, PhD; Kathryn L. Burgio, PhD; Seine Chiang, MD; Ash Dabbous, MD; Patricia S. Goode, MD; Lee N. Hammontree, MD; Kimberly Kenton, MD; Salil Khandwala, MD; Karl Luber, MD; Emily Lukacz, MD; Shawn Menefee, MD; Pamela Moalli, MD; Kenneth Peters, MD; Elizabeth Sagan, MD; Joseph Schaffer, MD; Amanda Simsiman, MD; Larry Sirls, MD; Robert Starr, MD; R. Edward Varner, MD.
Study coordinators
Rosemary Bradt, RNC; Karen Debes, RN; Rosanna Dinh, RN, CCRC; Judy Gruss, RN; Lynn Hall, RN, MSN, CURN; Alice Howell, RN, BSN, CCRC; Kathy Jesse, RN; D. Lynn Kalinoski, PhD; Kathryn Koches, RN; Barbara Leemon, RN; Karen Mislanovich, RN; Shelly O’Meara, RN; Janese Parent, RN; Norma Pope, RN; Caren Prather, RN; Terry Rogers, RN; Sylvia Sluder, CCRP; Mary Tulke, RN.
Biostatistical coordinating center
Kimberly J. Dandreo, MSc; Corinne J. Leifer, BA; Susan M. McDermott, MPH, GNP; Anne Stoddard, ScD (Co-PI); Sharon Tennstedt, PhD (PI); Liane Tinsley, MPH; Lisa Wruck, ScD; Yan Xu, MS.
Data safety and monitoring board
Elizabeth A.Gormley MD (Chair), Dartmouth-Hitchcock Medical Center, Lebanon NH; Paul Abrams MD, Bristol Urological Institute, Bristol UK; Diedre Bland MD, Blue Ridge Medical Associates, Winston Salem NC; J. Quentin Clemens MD, Northwestern University Medical School, Chicago IL; John Connett PhD, University of Minnesota, Minneapolis MN; William Henderson PhD, University of Colorado, Aurora CO; Dee Fenner MD, University of Michigan, Ann Arbor MI; Sheryl Kelsey PhD, University of Pittsburgh, Pittsburgh PA; Deborah Myers MD, Brown University School of Medicine, Providence RI; Jacek Mostwin MD, Johns Hopkins Hospital, Baltimore MD; Bassem Wadie MBBCh, MSc, MD, Mansoura Urology and Nephrology Center, Mansoura, Egypt.
For TOMUS
Steering Committee
Elizabeth A. Gormley, Chair (Dartmouth Hitchcock Medical Center, Lebanon, NH); Larry Sirls, MD, Salil Khandwala, MD (William Beaumont Hospital, Royal Oak, MI and Oakwood Hospital, Dearborn, MI; U01 DK58231); Linda Brubaker, MD, Kimberly Kenton, MD (Loyola University Chicago, Stritch School of Medicine, Maywood, IL; U01 DK60379); Holly E. Richter, PhD, MD, L. Keith Lloyd, MD (University of Alabama, Birmingham, AL; U01 DK60380); Michael Albo, MD, Charles Nager, MD (University of California, San Diego, CA; U01 DK60401); Toby C. Chai, MD, Harry W. Johnson, MD (University of Maryland, Baltimore, MD; U01 DK60397); Halina M. Zyczynski, MD, Wendy Leng, MD (University of Pittsburgh, Pittsburgh, PA; U01 DK 58225); Philippe Zimmern, MD, Gary Lemack, MD (University of Texas Southwestern, Dallas, TX; U01 DK60395); Stephen Kraus, MD, Thomas Rozanski, MD (University of Texas Health Sciences Center, San Antonio, TX; U01 DK58234); Peggy Norton, MD, Ingrid Nygaard, MD (University of Utah, Salt Lake City, UT; U01 DK60393); Sharon Tennstedt, PhD, Anne Stoddard, ScD (New England Research Institutes, Watertown, MA; U01 DK58229); Debuene Chang, MD (until 10/2009), John Kusek, PhD (starting 10/2009), Rebekah Rasooly, PhD (National Institute of Diabetes & Digestive & Kidney Diseases).
Co-investigators
Amy Arisco, MD; Jan Baker, APRN; Diane Borello-France, PT, PhD; Kathryn L. Burgio, PhD; Ananias Diokno, MD; MaryPat Fitzgerald, MD; Chiara Ghetti, MD; Patricia S. Goode, MD; Robert L. Holley, MD; Yvonne Hsu, MD; Margie Kahn, MD; Jerry Lowder, MD; Karl Luber, MD; Emily Lukacz, MD; Alayne Markland, DO, MSc; Shawn Menefee, MD; Pamela Moalli, MD; Elizabeth Mueller, MD; Leslie Rickey, MD, MPH; Elizabeth Sagan, MD; Joseph Schaffer, MD; Robert Starr, MD; Gary Sutkin, MD; R. Edward Varner, MD; Emily Whitcomb, MD.
Study coordinators
Laura Burr, RN; JoAnn Columbo, BS, CCRC; Tamara Dickinson, RN, CURN, CCCN, BCIA-PMDB; Rosanna Dinh, RN, CCRC; Judy Gruss, RN; Alice Howell, RN, BSN, CCRC; Chaandini Jayachandran, MSc; Kathy Jesse, RN; D. Lynn Kalinoski, PhD; Barbara Leemon, RN; Karen Mislanovich, RN; Elva Kelly Moore, RN; Caren Prather, RN; Jennifer Tabaldo; Tia Thrasher; Mary Tulke, RN; Robin Willingham, RN, BSN; Kimberly Woodson, RN, MPH; Gisselle Zazueta-Damian.
Data coordinating center
Kathleen Cannon, BS; Kimberly J. Dandreo, MSc; Liyuan Huang, MS; Rose Kowalski, MA; Heather Litman, PhD; Marina Mihova, MHA; Anne Stoddard, ScD (Co-PI); Kerry Tanwar, BA; Sharon Tennstedt, PhD (PI); Yan Xu, MS.
Data Safety and monitoring board
J. Quentin Clemens MD, (Chair) Northwestern University Medical School, Chicago IL; Paul Abrams MD, Bristol Urological Institute, Bristol UK; Deidre Bland MD, Blue Ridge Medical Associates, Winston Salem NC; Timothy B. Boone, MD, The Methodist Hospital, Baylor College of Medicine, Houston, TX; John Connett PhD, University of Minnesota, Minneapolis MN; Dee Fenner MD, University of Michigan, Ann Arbor MI; William Henderson PhD, University of Colorado, Aurora CO; Sheryl Kelsey PhD, University of Pittsburgh, Pittsburgh PA; Deborah J. Lightner, MD, Mayo Clinic, Rochester, MN; Deborah Myers MD, Brown University School of Medicine, Providence RI; Bassem Wadie MBBCh, MSc, MD, Mansoura Urology and Nephrology Center, Mansoura, Egypt; J. Christian Winters, MD, Louisiana State University Health Sciences Center, New Orleans, LA
Contributor Information
Ingrid Nygaard, Protocol, Department of OB/GYN, University of Utah, Salt Lake City, UT, USA.
Linda Brubaker, Departments of OB/GYN and Urology, Loyola, Chicago, IL, USA.
Toby C. Chai, Division of Urology, University of Maryland Baltimore, Baltimore, MD, USA
Alayne D. Markland, Department of Medicine, Division of Geriatrics, Gerontology, and Palliative Care, University of Alabama at Birmingham, Birmingham, AL, USA
Shawn A. Menefee, Department of OB/GYN, Kaiser Permanente San Diego, SanDiego, CA, USA
Larry Sirls, Department of Urology, William Beaumont Hospital, Royal Oaks, MI, USA.
Gary Sutkin, Department of OB/GYN, Magee Women's Hospital, Pittsburgh, PA, USA.
Phillipe Zimmern, Department of Urology, University of Texas San Antonio, San Antonio, TX, USA.
Amy Arisco, Department of Urology, University of Texas San Antonio, San Antonio, TX, USA.
Liyuan Huang, New England Research Institutes, Watertown, MA USA.
Sharon Tennstedt, New England Research Institutes, Watertown, MA USA.
Anne Stoddard, New England Research Institutes, Watertown, MA USA.
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