Abstract

Background

Urinary tract infections (UTIs) occur commonly and often recur. However, recent data on the epidemiology of recurrent UTI (rUTI) are scarce.

Methods

Between 1 January 2016 and 31 December 2020, index uncomplicated UTIs (uUTIs) from office, emergency department, hospital, and virtual care settings were identified from the electronic health records of women at Kaiser Permanente Southern California. We defined rUTI as ≥3 UTIs within 365 days or ≥2 UTIs within 180 days. We determined the proportion of women with cystitis index uUTI who had rUTI, and we examined factors associated with rUTIs using modified multivariable Poisson regression.

Results

Among 374 171 women with cystitis index uUTI, 54 318 (14.5%) had rUTI. A higher proportion of women with rUTI vs those without rUTI were aged 18 to 27 or ≥78 years at index uUTI (19.7% vs 18.7% and 9.0% vs 6.0%, respectively), were immunocompromised, or had a positive urine culture result at index uUTI. In multivariable analyses, characteristics associated with rUTI included younger or older age (48–57 vs 18–27 years: adjusted risk ratio [aRR], 0.83 [95% CI, .80–.85]; ≥78 vs 18–27 years: aRR, 1.07 [95% CI, 1.03–1.11]), Charlson Comorbidity Index (≥3 vs 0: aRR, 1.12 [95% CI, 1.08–1.17]), and diabetes mellitus (aRR, 1.07 [95% CI, 1.04–1.10]). More frequent prior-year outpatient and emergency department encounters, oral antibiotic and oral contraceptive prescriptions, positive culture result at index uUTI, and antibiotic-resistant organisms were also associated with increased risk of rUTI.

Conclusions

The high risk of rUTI among women with cystitis is concerning, especially given previous reports of increasing UTI incidence. Current assessment of the epidemiology of rUTI may guide the development of preventive interventions against UTI.

Urinary tract infections (UTIs) are among the most common bacterial infections [1], with an estimated annual incidence of >150 million cases worldwide [2]. In the United States, UTIs result in approximately 10.5 million office visits as well as 3 million emergency department (ED) encounters and 400 000 hospitalizations annually with an estimated annual cost >$4.8 billion [3–5]. UTIs primarily affect women, followed by male infants and older men [6]. Based on epidemiologic data from a study in the United States, about 1 in 3 women have at least 1 UTI diagnosed by a clinician that requires antibiotic medication, and the lifetime risk of UTIs among women is >60% [7].

Clinically, UTIs are categorized as uncomplicated or complicated. Uncomplicated UTIs (uUTIs) can be differentiated into lower (cystitis) and upper (pyelonephritis). uUTIs typically affect individuals who are otherwise healthy [8]. Approximately 75% of uUTIs are caused by extraintestinal pathogenic Escherichia coli, followed by Klebsiella pneumoniae and other pathogens [5]. Complicated UTIs are associated with factors compromising the urinary tract or host defense, such as urinary obstruction, immunosuppression, renal failure/transplantation, and indwelling catheterization [5]. In the United States, 70% to 80% of complicated UTIs are attributable to indwelling catheters, accounting for 1 million cases per year [9].

Antibiotics, which are the mainstay of UTI treatment, are often prescribed for UTIs in the absence of urine culture and antibiotic susceptibility testing [10]. However, antibiotic resistance by pathogens causing UTIs, particularly E coli, has been increasing, resulting in higher risk of treatment failure, patient morbidity, health care costs, and use of broad-spectrum antibiotics [5]. In addition, antibiotic resistance can limit oral therapeutic options for outpatient treatment of uUTIs, leading to greater hospital admissions, further escalating costs [11]. Furthermore, because of alterations in the gut microbiome, antibiotic administration may increase the risk of recurrent UTIs (rUTIs) [12].

UTIs have a propensity to recur, often more than once. UTI recurrences have been defined several ways: as a second or third UTI within 6 months of an index UTI, as a second or third UTI within 12 months of an index UTI [13, 14], or as a second UTI within 6 months or a third UTI within 12 months of an index UTI [15–17]. One study found that 24% of college women with a first UTI experienced a recurrence within 6 months [18], while another study reported that women with a history of ≥2 UTIs had 2 to 5 times the risk of recurrence within 1 year as compared with women with ≤1 UTI [19]. A nationwide US study of self-reported UTIs revealed that most UTIs occurred among women with a history of ≥2 UTI episodes [7]. However, despite the high frequency of UTIs and recurrences and their great burden on the health care system and patients, recent data on the epidemiology of rUTIs in the United States are limited. While several earlier studies examined risk factors for rUTIs, most evaluated a limited number of participants [13–15, 20], and many focused on specific populations, such as children [21], young women [13, 15, 18, 19], and older adults [16]. Furthermore, outpatient UTI rates have been rising, especially in virtual care settings, a trend that has likely accelerated during the COVID-19 pandemic [22]. Hence, a current assessment of the epidemiology of rUTIs may help guide the development and use of preventive interventions against UTI, including vaccines currently under development [23]. Therefore, we evaluated the epidemiology of rUTIs after uUTI among women in a large diverse population.

METHODS

Study Setting

Kaiser Permanente Southern California (KPSC) is an integrated health care system that provides comprehensive prepaid health services for >4.8 million members at 15 hospitals and 233 medical offices. The demographic makeup of the KPSC membership mirrors the racially and sociodemographically diverse southern California population and the California census population [24]. Comprehensive electronic health records used for this study contain information on demographics, services, diagnoses, procedures, laboratory results, pharmacy records, and immunizations from the outpatient (including virtual), ED, and hospital settings. Each KPSC health plan member has a unique medical record number used as an identifier to retrieve and link all variables from different databases. As KPSC is a prepaid health care system, there is strong motivation for members to use services internally. Furthermore, reimbursement by KPSC for outside care requires that claims be submitted with documentation of the care provided. Thus, capture of care delivered to KPSC members by electronic data is very comprehensive.

Study Population

The study population comprised adults ≥18 years of age who sought outpatient care for UTI at KPSC between 1 January 2016 and 31 December 2020. We identified occurrences of UTI from office, ED, hospital, and virtual care (phone, video and internet) encounters. UTI was defined as 1 of the following: (1) occurrence of a UTI diagnosis code with a prespecified antibiotic prescription order (aminoglycoside, carbapenem, cephalosporin, fluoroquinolone, fosfomycin, nitrofurantoin, penicillin, trimethoprim-sulfamethoxazole, or other) ±3 days of a UTI diagnosis code date, (2) a positive urine culture result with a prespecified antibiotic prescription order ±3 days of culture date, or (3) a positive urine culture result with a UTI diagnosis code ±7 days of culture date (Supplementary material). Positive urine culture results were defined according to KPSC laboratory guidelines as isolation of ≥1000 colony-forming units (CFU)/mL for normally sterile samples or ≥10 000 CFU/mL for clean-catch specimens. Since laboratory results provided by the KPSC laboratory to clinicians are based on these thresholds, we used these rather than higher thresholds (eg, ≥100 000 CFU/mL) to reflect real-world practice [25].

UTI occurrences were then categorized as uUTI (an infection in the absence of structural or functional abnormalities) or complicated UTI (infection in the presence of structural or functional abnormalities). The first uUTI was considered the index uUTI. Index uUTI type was further defined as pyelonephritis, cystitis, or other (unable to define due to UTI determined by positive culture with prespecified antibiotic prescription without a UTI diagnosis code; Supplementary material, step 1). Since women accounted for >96% of participants with uUTIs with subsequent rUTIs and nearly 90% of rUTIs occurred among participants whose initial uUTI was cystitis, we focused the primary analysis on rUTIs among women with cystitis index uUTI.

Participants were required to have continuous KPSC membership for ≥1 year (allowing a 31-day gap) prior to the index uUTI to allow for ascertainment of baseline characteristics. Members with UTI within 1 year prior to the index uUTI were excluded from analysis. Participants were followed from the date of the index uUTI for occurrence of UTI recurrences (uUTI or complicated UTI).

rUTIs were defined as ≥3 UTI events (index uUTI plus ≥2 UTIs) within 365 days or ≥2 UTI events (eg, index uUTI plus ≥1 UTI) within 180 days [15–17, 26]. To define distinct UTI episodes as opposed to multiple records for the same infection, UTI occurrences within <31 days were grouped, with a gap ≥31 days required to define separate UTI episodes, as previously described [22].

Covariates

We examined the baseline characteristics of participants in the year prior to the index uUTI, as stratified between those with and those without rUTI: age group (18–27, 28–37, 38–47, 48–57, 58–67, ≥68 years), race and ethnicity (White, Black, Hispanic, Asian/Pacific Islander, other/unknown), most recent body mass index (BMI; <18.5, 18.5–24.9, 25.0–29.9, 30.0–39.9, ≥40.0), and diabetes mellitus (defined by Charlson diagnosis codes for diabetes with and without complications), as well as smoking status (never, ever), immunocompromised status as previously described [27], Charlson Comorbidity Index (0, 1–2, ≥3) [28], renal disease, dementia, pregnancy, oral contraceptive prescriptions, number of health care encounters (outpatient, ED, and hospitalization), and number and class of antibiotic prescriptions (0, 1–2, ≥3). Other variables were neighborhood-level income, receipt of Medicaid insurance (yes/no), whether the UTI was confirmed with a positive urine culture result (vs no culture or a negative result), year of index uUTI, and the UTI pathogens and susceptibility for those identified with positive cultures (susceptible or nonsusceptible to 1–2 or ≥3 antibiotic classes: aminoglycosides, carbapenems, cephalosporins, fluoroquinolones, fosfomycin, nitrofurantoin, penicillins, trimethoprim-sulfamethoxazole, others).

Statistical Analysis

Differences in sociodemographics, baseline characteristics, treatments, and other covariates were compared by rUTI status. Categorical data were summarized as frequencies and percentages and compared by χ2 test or Fisher exact test. Continuous variables were described as mean with SD or median with IQR and were compared by Student t test or the nonparametric Wilcoxon rank sum test (Mann-Whitney U test). The proportion of individuals with rUTI was calculated as the number of rUTI events divided by the number of participants with an index uUTI and was stratified by characteristics such as age, sex, race and ethnicity, history of UTI, and diabetes.

To examine factors associated with rUTI, unadjusted and adjusted risk ratios (aRRs) and 95% CIs were estimated through modified Poisson regression models with robust variance estimation. The multivariable model was developed via the LASSO method (least absolute shrinkage and selection operator). Variables in the final model were age, race and ethnicity, BMI, neighborhood-level income, Medicaid, Charlson Comorbidity Index, diabetes, dementia, pregnancy, oral contraceptives, health care utilization history in the year prior to the index date (numbers of outpatient, ED, and inpatient encounters), immunocompromised status at index, antibiotic prescription numbers in the year prior to the index date and class (cephalosporin, fluoroquinolone, nitrofurantoin), year of index uUTI, and positive urine culture result. We conducted similar analyses stratified by race and ethnicity, as well as in the subset of participants identified with positive culture results with additional variables that included urinary pathogens and nonsusceptibility to antibiotics. All analyses were conducted with SAS version 9.4 (SAS Institute).

This study was reviewed and approved by the KPSC Institutional Review Board.

RESULTS

During 2015 to 2021, there were 2 600 539 UTI events, of which 2 144 427 occurred among 777 871 KPSC members ≥18 years of age who had ≥1 year of prior KPSC membership (Figure 1). Among these, 475 013 members had an outpatient index uUTI during 2016 to 2020, of whom 33 162 were excluded due to having a UTI in the prior year, leaving 441 851 members in the overall uUTI cohort. The final cohort of women with cystitis as their index uUTI comprised 374 171 members.

Flowchart for the study cohort. 1 Including e-visits and telephone appointment visits. 2 Number of unique persons (number of UTI events in parentheses). 3 The index date was the date of the earliest record for the first uUTI per person. dx, diagnosis; ED, emergency department; KP, Kaiser Permanente Southern California; px, procedure; UTI, urinary tract infection; uUTI, uncomplicated urinary tract infection.
Figure 1.

Flowchart for the study cohort. 1 Including e-visits and telephone appointment visits. 2 Number of unique persons (number of UTI events in parentheses). 3 The index date was the date of the earliest record for the first uUTI per person. dx, diagnosis; ED, emergency department; KP, Kaiser Permanente Southern California; px, procedure; UTI, urinary tract infection; uUTI, uncomplicated urinary tract infection.

Among the overall uUTI cohort, 92.2% (n = 407 479) were female, and 90.3% (n = 399 003) had cystitis as their index uUTI (Supplementary Table 1).

Among the final analytic cohort of 374 171 female participants with cystitis at the index uUTI, 54 318 (14.5%) had rUTI by our primary definition (≥3 UTIs [index uUTI plus ≥2 UTIs] within 365 days or ≥2 UTIs [index uUTI plus ≥1 UTI] within 180 days; Table 1), as opposed to 5.7% by a more restrictive definition (≥3 UTIs [index uUTI plus ≥2 UTIs] within 365 days) and 23.1% by a more permissive definition [17] (≥2 UTIs [index uUTI plus ≥1 UTI] within 365 days). The median age was 46.9 years, 45% were Hispanic and 34% were non-Hispanic White, and 13.1% had diabetes. A higher proportion of women with rUTI vs those without were 18 to 27 or ≥78 years of age at the index uUTI (19.7% vs 18.69% and 9.0% vs 6.0%, respectively) or were immunocompromised or had a positive urine culture result at the index uUTI. In the year prior to the index uUTI, those with rUTI vs those without rUTI had lower BMI and diabetes and greater health care utilization, received oral contraceptives or antibiotic prescriptions, and were more likely to have a Charlson Comorbidity Index >0 (38.5% vs 32.9% with ≥1; Table 1).

Table 1.

Baseline Characteristics of Women With Cystitis as the Index uUTI by rUTI, Kaiser Permanente Southern California, 2016–2021

rUTI (n = 54 318)No rUTI (n = 319 853)Total (n = 374 171)
No.%No.%No.%P Value
Age group, ya<.001
 18–2710 69319.759 78418.770 47718.8
 28–37931617.258 76318.868 07918.2
 38–47793614.653 37916.761 31516.4
 48–57774614.352 36216.460 10816.1
 58–67762114.045 40714.253 02814.2
 68–77610611.230 9279.737 0339.9
 ≥7849009.019 2316.024 1316.5
Age, y, median (IQR)47.0 (30.0–64.0)45.0 (31.0–61.0)45.0 (31.0–61.0)<.001
Race and ethnicity<.001
 White20 37337.5107 04533.5127 41834.1
 Black39927.326 9968.430 9888.3
 Hispanic23 65043.5144 45445.2168 10444.9
 Asian/Pacific Islander46368.531 3439.835 9799.6
 Other/unknown16673.110 0153.111 6823.1
Body mass indexb<.001
 <18.510301.952151.662451.7
 18.5–24.916 78530.989 49128.0106 27628.4
 25.0–29.914 82127.386 36827.0101 18927.0
 30.0–39.914 05025.984 27326.398 32326.3
 ≥40.034106.320 8826.524 2926.5
 Unknown42227.833 62410.537 84610.1
Smoking statusb<.001
 Never42 14577.6251 42078.6293 56578.5
 Ever11 12720.561 61519.372 74219.4
 Unknown10461.968182.178642.1
Neighborhood-level income, $<.001
 <40 00020883.812 5803.914 6683.9
 40 000–<60 000964117.759 52318.669 16418.5
 60 000–<85 00016 49230.498 11230.7114 60430.6
 ≥85 00025 78347.5148 04846.3173 83146.5
 Unknown3140.615900.519040.5
Medicaid595311.030 9679.736 9209.9<.001
Charlson Comorbidity Index scoreb<.001
 033 38361.5214 65867.1248 04166.3
 1–216 63530.689 02027.8105 65528.2
 ≥343007.916 1755.120 4755.5
Diabetesb826515.240 70312.748 96813.1<.001
Renal diseaseb40947.517 4015.421 4955.7<.001
Dementiab12432.341651.354081.4<.001
Immunocompromiseda14902.761001.975902.0<.001
Pregnancyb5251.049141.554391.5<.001
Oral contraceptivesb49719.225 5078.030 4788.1<.001
No. of outpatient visitsb<.001
 017133.216 3405.118 0534.8
 1–413 91925.6101 27431.7115 19330.8
 5–812 98223.977 43124.290 41324.2
 9–1512 87123.767 32321.080 19421.4
 ≥1612 83323.657 48518.070 31818.8
No. of emergency department visitsb<.001
 041 82777.0258 26080.7300 08780.2
 1836515.443 64213.652 00713.9
 ≥241267.617 9515.622 0775.9
No. of inpatient visitsb<.001
 049 61091.3296 51092.7346 12092.5
 136716.819 2806.022 9516.1
 ≥210371.940631.351001.4
No. of antibiotic prescriptionsb<.001
 032 08259.1214 78667.2246 86866.0
 1–216 96131.286 06226.9103 02327.5
 ≥352759.719 0055.924 2806.5
Antibiotic prescriptions classb,c
 Aminoglycoside2610.513960.416570.4.153
 Carbapenem460.11150.01610.0<.001
 Cephalosporin11 26920.749 06015.360 32916.1<.001
 Fluoroquinolone39287.213 5064.217 4344.7<.001
 Fosfomycin180.0240.0420.0<.001
 Nitrofurantoin22124.158051.880172.1<.001
 Penicillin997918.452 14016.362 11916.6<.001
 Trimethoprim-sulfamethoxazole26224.810 5023.313 1243.5<.001
 Others5561.022360.727920.7<.001
Year of index uUTI<.001
 201611 99322.169 14521.681 13821.7
 201711 24620.767 45821.178 70421.0
 201811 32020.865 96620.677 28620.7
 201910 01218.461 25919.271 27119.0
 2020974717.956 02517.565 77217.6
Urine culture at index uUTI<.001
 None31 46657.9187 04458.5218 51058.4
 Negative608011.248 67215.254 75214.6
 Positive16 77230.984 13726.3100 90927.0
No. with positive urine culture resultd16 72783 854100 581
E coli isolated at index uUTIe13 73382.170 40184.084 13483.6<.001
Klebsiella spp isolated at index uUTIe13858.353236.367086.7<.001
Nonsusceptibility to antibiotic classes<.001
  Susceptible698441.836 92144.043 90543.7
  Nonsusceptible to 1–2 classesf744444.536 94944.144 39344.1
  Nonsusceptible to ≥3 classesf229913.7998411.912 28312.2
rUTI (n = 54 318)No rUTI (n = 319 853)Total (n = 374 171)
No.%No.%No.%P Value
Age group, ya<.001
 18–2710 69319.759 78418.770 47718.8
 28–37931617.258 76318.868 07918.2
 38–47793614.653 37916.761 31516.4
 48–57774614.352 36216.460 10816.1
 58–67762114.045 40714.253 02814.2
 68–77610611.230 9279.737 0339.9
 ≥7849009.019 2316.024 1316.5
Age, y, median (IQR)47.0 (30.0–64.0)45.0 (31.0–61.0)45.0 (31.0–61.0)<.001
Race and ethnicity<.001
 White20 37337.5107 04533.5127 41834.1
 Black39927.326 9968.430 9888.3
 Hispanic23 65043.5144 45445.2168 10444.9
 Asian/Pacific Islander46368.531 3439.835 9799.6
 Other/unknown16673.110 0153.111 6823.1
Body mass indexb<.001
 <18.510301.952151.662451.7
 18.5–24.916 78530.989 49128.0106 27628.4
 25.0–29.914 82127.386 36827.0101 18927.0
 30.0–39.914 05025.984 27326.398 32326.3
 ≥40.034106.320 8826.524 2926.5
 Unknown42227.833 62410.537 84610.1
Smoking statusb<.001
 Never42 14577.6251 42078.6293 56578.5
 Ever11 12720.561 61519.372 74219.4
 Unknown10461.968182.178642.1
Neighborhood-level income, $<.001
 <40 00020883.812 5803.914 6683.9
 40 000–<60 000964117.759 52318.669 16418.5
 60 000–<85 00016 49230.498 11230.7114 60430.6
 ≥85 00025 78347.5148 04846.3173 83146.5
 Unknown3140.615900.519040.5
Medicaid595311.030 9679.736 9209.9<.001
Charlson Comorbidity Index scoreb<.001
 033 38361.5214 65867.1248 04166.3
 1–216 63530.689 02027.8105 65528.2
 ≥343007.916 1755.120 4755.5
Diabetesb826515.240 70312.748 96813.1<.001
Renal diseaseb40947.517 4015.421 4955.7<.001
Dementiab12432.341651.354081.4<.001
Immunocompromiseda14902.761001.975902.0<.001
Pregnancyb5251.049141.554391.5<.001
Oral contraceptivesb49719.225 5078.030 4788.1<.001
No. of outpatient visitsb<.001
 017133.216 3405.118 0534.8
 1–413 91925.6101 27431.7115 19330.8
 5–812 98223.977 43124.290 41324.2
 9–1512 87123.767 32321.080 19421.4
 ≥1612 83323.657 48518.070 31818.8
No. of emergency department visitsb<.001
 041 82777.0258 26080.7300 08780.2
 1836515.443 64213.652 00713.9
 ≥241267.617 9515.622 0775.9
No. of inpatient visitsb<.001
 049 61091.3296 51092.7346 12092.5
 136716.819 2806.022 9516.1
 ≥210371.940631.351001.4
No. of antibiotic prescriptionsb<.001
 032 08259.1214 78667.2246 86866.0
 1–216 96131.286 06226.9103 02327.5
 ≥352759.719 0055.924 2806.5
Antibiotic prescriptions classb,c
 Aminoglycoside2610.513960.416570.4.153
 Carbapenem460.11150.01610.0<.001
 Cephalosporin11 26920.749 06015.360 32916.1<.001
 Fluoroquinolone39287.213 5064.217 4344.7<.001
 Fosfomycin180.0240.0420.0<.001
 Nitrofurantoin22124.158051.880172.1<.001
 Penicillin997918.452 14016.362 11916.6<.001
 Trimethoprim-sulfamethoxazole26224.810 5023.313 1243.5<.001
 Others5561.022360.727920.7<.001
Year of index uUTI<.001
 201611 99322.169 14521.681 13821.7
 201711 24620.767 45821.178 70421.0
 201811 32020.865 96620.677 28620.7
 201910 01218.461 25919.271 27119.0
 2020974717.956 02517.565 77217.6
Urine culture at index uUTI<.001
 None31 46657.9187 04458.5218 51058.4
 Negative608011.248 67215.254 75214.6
 Positive16 77230.984 13726.3100 90927.0
No. with positive urine culture resultd16 72783 854100 581
E coli isolated at index uUTIe13 73382.170 40184.084 13483.6<.001
Klebsiella spp isolated at index uUTIe13858.353236.367086.7<.001
Nonsusceptibility to antibiotic classes<.001
  Susceptible698441.836 92144.043 90543.7
  Nonsusceptible to 1–2 classesf744444.536 94944.144 39344.1
  Nonsusceptible to ≥3 classesf229913.7998411.912 28312.2

Abbreviations: rUTI, recurrent urinary tract infection; uUTI, uncomplicated urinary tract infection.

aAt index date (date of earliest record for the index uUTI).

bIn the year prior to index date.

cNot mutually exclusive.

dExcludes cultures with unknown susceptibility.

eOther organisms isolated included Proteus mirabilis (4.29%), Citrobacter spp (1.59%), Enterobacter spp (1.51%), Enterococcus spp (0.92%), Pseudomonas aeruginosa (0.46%), coagulase-negative Staphylococcus spp (0.32%). More than 1 pathogen was isolated from 1.83% of positive culture results.

fAntibiotic classes were aminoglycosides, carbapenems, cephalosporins, fluroquinolones, fosfomycin, nitrofurantoin, penicillin, trimethoprim-sulfamethoxazole, others (aztreonam, colistin, daptomycin, linezolid, tigecycline, vancomycin).

Table 1.

Baseline Characteristics of Women With Cystitis as the Index uUTI by rUTI, Kaiser Permanente Southern California, 2016–2021

rUTI (n = 54 318)No rUTI (n = 319 853)Total (n = 374 171)
No.%No.%No.%P Value
Age group, ya<.001
 18–2710 69319.759 78418.770 47718.8
 28–37931617.258 76318.868 07918.2
 38–47793614.653 37916.761 31516.4
 48–57774614.352 36216.460 10816.1
 58–67762114.045 40714.253 02814.2
 68–77610611.230 9279.737 0339.9
 ≥7849009.019 2316.024 1316.5
Age, y, median (IQR)47.0 (30.0–64.0)45.0 (31.0–61.0)45.0 (31.0–61.0)<.001
Race and ethnicity<.001
 White20 37337.5107 04533.5127 41834.1
 Black39927.326 9968.430 9888.3
 Hispanic23 65043.5144 45445.2168 10444.9
 Asian/Pacific Islander46368.531 3439.835 9799.6
 Other/unknown16673.110 0153.111 6823.1
Body mass indexb<.001
 <18.510301.952151.662451.7
 18.5–24.916 78530.989 49128.0106 27628.4
 25.0–29.914 82127.386 36827.0101 18927.0
 30.0–39.914 05025.984 27326.398 32326.3
 ≥40.034106.320 8826.524 2926.5
 Unknown42227.833 62410.537 84610.1
Smoking statusb<.001
 Never42 14577.6251 42078.6293 56578.5
 Ever11 12720.561 61519.372 74219.4
 Unknown10461.968182.178642.1
Neighborhood-level income, $<.001
 <40 00020883.812 5803.914 6683.9
 40 000–<60 000964117.759 52318.669 16418.5
 60 000–<85 00016 49230.498 11230.7114 60430.6
 ≥85 00025 78347.5148 04846.3173 83146.5
 Unknown3140.615900.519040.5
Medicaid595311.030 9679.736 9209.9<.001
Charlson Comorbidity Index scoreb<.001
 033 38361.5214 65867.1248 04166.3
 1–216 63530.689 02027.8105 65528.2
 ≥343007.916 1755.120 4755.5
Diabetesb826515.240 70312.748 96813.1<.001
Renal diseaseb40947.517 4015.421 4955.7<.001
Dementiab12432.341651.354081.4<.001
Immunocompromiseda14902.761001.975902.0<.001
Pregnancyb5251.049141.554391.5<.001
Oral contraceptivesb49719.225 5078.030 4788.1<.001
No. of outpatient visitsb<.001
 017133.216 3405.118 0534.8
 1–413 91925.6101 27431.7115 19330.8
 5–812 98223.977 43124.290 41324.2
 9–1512 87123.767 32321.080 19421.4
 ≥1612 83323.657 48518.070 31818.8
No. of emergency department visitsb<.001
 041 82777.0258 26080.7300 08780.2
 1836515.443 64213.652 00713.9
 ≥241267.617 9515.622 0775.9
No. of inpatient visitsb<.001
 049 61091.3296 51092.7346 12092.5
 136716.819 2806.022 9516.1
 ≥210371.940631.351001.4
No. of antibiotic prescriptionsb<.001
 032 08259.1214 78667.2246 86866.0
 1–216 96131.286 06226.9103 02327.5
 ≥352759.719 0055.924 2806.5
Antibiotic prescriptions classb,c
 Aminoglycoside2610.513960.416570.4.153
 Carbapenem460.11150.01610.0<.001
 Cephalosporin11 26920.749 06015.360 32916.1<.001
 Fluoroquinolone39287.213 5064.217 4344.7<.001
 Fosfomycin180.0240.0420.0<.001
 Nitrofurantoin22124.158051.880172.1<.001
 Penicillin997918.452 14016.362 11916.6<.001
 Trimethoprim-sulfamethoxazole26224.810 5023.313 1243.5<.001
 Others5561.022360.727920.7<.001
Year of index uUTI<.001
 201611 99322.169 14521.681 13821.7
 201711 24620.767 45821.178 70421.0
 201811 32020.865 96620.677 28620.7
 201910 01218.461 25919.271 27119.0
 2020974717.956 02517.565 77217.6
Urine culture at index uUTI<.001
 None31 46657.9187 04458.5218 51058.4
 Negative608011.248 67215.254 75214.6
 Positive16 77230.984 13726.3100 90927.0
No. with positive urine culture resultd16 72783 854100 581
E coli isolated at index uUTIe13 73382.170 40184.084 13483.6<.001
Klebsiella spp isolated at index uUTIe13858.353236.367086.7<.001
Nonsusceptibility to antibiotic classes<.001
  Susceptible698441.836 92144.043 90543.7
  Nonsusceptible to 1–2 classesf744444.536 94944.144 39344.1
  Nonsusceptible to ≥3 classesf229913.7998411.912 28312.2
rUTI (n = 54 318)No rUTI (n = 319 853)Total (n = 374 171)
No.%No.%No.%P Value
Age group, ya<.001
 18–2710 69319.759 78418.770 47718.8
 28–37931617.258 76318.868 07918.2
 38–47793614.653 37916.761 31516.4
 48–57774614.352 36216.460 10816.1
 58–67762114.045 40714.253 02814.2
 68–77610611.230 9279.737 0339.9
 ≥7849009.019 2316.024 1316.5
Age, y, median (IQR)47.0 (30.0–64.0)45.0 (31.0–61.0)45.0 (31.0–61.0)<.001
Race and ethnicity<.001
 White20 37337.5107 04533.5127 41834.1
 Black39927.326 9968.430 9888.3
 Hispanic23 65043.5144 45445.2168 10444.9
 Asian/Pacific Islander46368.531 3439.835 9799.6
 Other/unknown16673.110 0153.111 6823.1
Body mass indexb<.001
 <18.510301.952151.662451.7
 18.5–24.916 78530.989 49128.0106 27628.4
 25.0–29.914 82127.386 36827.0101 18927.0
 30.0–39.914 05025.984 27326.398 32326.3
 ≥40.034106.320 8826.524 2926.5
 Unknown42227.833 62410.537 84610.1
Smoking statusb<.001
 Never42 14577.6251 42078.6293 56578.5
 Ever11 12720.561 61519.372 74219.4
 Unknown10461.968182.178642.1
Neighborhood-level income, $<.001
 <40 00020883.812 5803.914 6683.9
 40 000–<60 000964117.759 52318.669 16418.5
 60 000–<85 00016 49230.498 11230.7114 60430.6
 ≥85 00025 78347.5148 04846.3173 83146.5
 Unknown3140.615900.519040.5
Medicaid595311.030 9679.736 9209.9<.001
Charlson Comorbidity Index scoreb<.001
 033 38361.5214 65867.1248 04166.3
 1–216 63530.689 02027.8105 65528.2
 ≥343007.916 1755.120 4755.5
Diabetesb826515.240 70312.748 96813.1<.001
Renal diseaseb40947.517 4015.421 4955.7<.001
Dementiab12432.341651.354081.4<.001
Immunocompromiseda14902.761001.975902.0<.001
Pregnancyb5251.049141.554391.5<.001
Oral contraceptivesb49719.225 5078.030 4788.1<.001
No. of outpatient visitsb<.001
 017133.216 3405.118 0534.8
 1–413 91925.6101 27431.7115 19330.8
 5–812 98223.977 43124.290 41324.2
 9–1512 87123.767 32321.080 19421.4
 ≥1612 83323.657 48518.070 31818.8
No. of emergency department visitsb<.001
 041 82777.0258 26080.7300 08780.2
 1836515.443 64213.652 00713.9
 ≥241267.617 9515.622 0775.9
No. of inpatient visitsb<.001
 049 61091.3296 51092.7346 12092.5
 136716.819 2806.022 9516.1
 ≥210371.940631.351001.4
No. of antibiotic prescriptionsb<.001
 032 08259.1214 78667.2246 86866.0
 1–216 96131.286 06226.9103 02327.5
 ≥352759.719 0055.924 2806.5
Antibiotic prescriptions classb,c
 Aminoglycoside2610.513960.416570.4.153
 Carbapenem460.11150.01610.0<.001
 Cephalosporin11 26920.749 06015.360 32916.1<.001
 Fluoroquinolone39287.213 5064.217 4344.7<.001
 Fosfomycin180.0240.0420.0<.001
 Nitrofurantoin22124.158051.880172.1<.001
 Penicillin997918.452 14016.362 11916.6<.001
 Trimethoprim-sulfamethoxazole26224.810 5023.313 1243.5<.001
 Others5561.022360.727920.7<.001
Year of index uUTI<.001
 201611 99322.169 14521.681 13821.7
 201711 24620.767 45821.178 70421.0
 201811 32020.865 96620.677 28620.7
 201910 01218.461 25919.271 27119.0
 2020974717.956 02517.565 77217.6
Urine culture at index uUTI<.001
 None31 46657.9187 04458.5218 51058.4
 Negative608011.248 67215.254 75214.6
 Positive16 77230.984 13726.3100 90927.0
No. with positive urine culture resultd16 72783 854100 581
E coli isolated at index uUTIe13 73382.170 40184.084 13483.6<.001
Klebsiella spp isolated at index uUTIe13858.353236.367086.7<.001
Nonsusceptibility to antibiotic classes<.001
  Susceptible698441.836 92144.043 90543.7
  Nonsusceptible to 1–2 classesf744444.536 94944.144 39344.1
  Nonsusceptible to ≥3 classesf229913.7998411.912 28312.2

Abbreviations: rUTI, recurrent urinary tract infection; uUTI, uncomplicated urinary tract infection.

aAt index date (date of earliest record for the index uUTI).

bIn the year prior to index date.

cNot mutually exclusive.

dExcludes cultures with unknown susceptibility.

eOther organisms isolated included Proteus mirabilis (4.29%), Citrobacter spp (1.59%), Enterobacter spp (1.51%), Enterococcus spp (0.92%), Pseudomonas aeruginosa (0.46%), coagulase-negative Staphylococcus spp (0.32%). More than 1 pathogen was isolated from 1.83% of positive culture results.

fAntibiotic classes were aminoglycosides, carbapenems, cephalosporins, fluroquinolones, fosfomycin, nitrofurantoin, penicillin, trimethoprim-sulfamethoxazole, others (aztreonam, colistin, daptomycin, linezolid, tigecycline, vancomycin).

In the adjusted analyses, characteristics associated with an increased risk of rUTI were as follows: younger or older age (eg, 48–57 vs 18–27 years: aRR, 0.83 [95% CI, .80–.85]; ≥78 vs 18–27 years: aRR, 1.07 [95% CI, 1.03–1.11]), White race and ethnicity (Black, Hispanic, or Asian/Pacific Islander vs White: aRR, 0.83 [95% CI, .80–.85], 0.93 [95% CI, .91–.95], and 0.85 [95% CI, .83–.88], respectively), receipt of Medicaid (aRR, 1.07 [95% CI, 1.04–1.10]), greater Charlson Comorbidity Index (≥3 vs 0: aRR, 1.12 [95% CI, 1.08–1.17]), diabetes (aRR, 1.07 [95% CI, 1.05–1.10]), dementia (aRR, 1.20 [95% CI, 1.14–1.18]), immunocompromised status (aRR, 1.12 [95% CI, 1.07–1.18]), more prior-year outpatient encounters (1–4, 5–8, 9–16, and >16 vs 0: aRR, 1.24, 1.43, 1.54, and 1.66, respectively), more prior-year ED encounters (≥2 vs 0: aRR, 1.07 [95% CI, 1.04–1.10]), receipt of more antibiotic prescriptions in the prior year (≥3 vs 0: aRR, 1.19 [95% CI, 1.15–1.24]), receipt of oral contraceptives in the prior year (aRR, 1.12 [95% CI, 1.09–1.15]), and a positive urine culture result at the index uUTI among those cultured (aRR, 1.14 [95% CI, 1.12–1.16]). In contrast, pregnancy was associated with a decreased risk of rUTI (aRR, 0.65 [95% CI, .60–.70]; Figure 2).

Factors associated with rUTI among women with cystitis index uUTI, Kaiser Permanente Southern California, 2016–2021. 1 aRR and 95% CI were estimated from modified Poisson regression models with a robust error variance, adjusted for all other variables in the figure. 2 At index date (date of the earliest record for the index uUTI). 3 In the year prior to the index date. 4 For each antibiotic class, the comparison group is not receiving an antibiotic of that class in the prior year. aRR, adjusted risk ratio; rUTI, recurrent urinary tract infection; uUTI, uncomplicated urinary tract infection.
Figure 2.

Factors associated with rUTI among women with cystitis index uUTI, Kaiser Permanente Southern California, 2016–2021. 1 aRR and 95% CI were estimated from modified Poisson regression models with a robust error variance, adjusted for all other variables in the figure. 2 At index date (date of the earliest record for the index uUTI). 3 In the year prior to the index date. 4 For each antibiotic class, the comparison group is not receiving an antibiotic of that class in the prior year. aRR, adjusted risk ratio; rUTI, recurrent urinary tract infection; uUTI, uncomplicated urinary tract infection.

In analyses among women with cystitis and a positive culture result for the index uUTI, E coli (isolated vs other organism isolated), Klebsiella spp (isolated vs other organism isolated), and nonsusceptibility to ≥3 classes of antibiotics were also associated with an increased risk of rUTI (aRR, 1.04 [95% CI, 1.01–1.08], 1.15 [95% CI, 1.10–1.20], and 1.08 [95% CI, 1.05–1.12], respectively; Figure 3).

Factors associated with rUTI among women with cystitis index uUTI with positive culture results, Kaiser Permanente Southern California, 2016–2021. 1 aRR and 95% CI were estimated from modified Poisson regression models with a robust error variance, adjusted for all other variables in the figure. 2 At index date (date of the earliest record for the index uUTI). 3 In the year prior to the index date. 4 For each antibiotic class, the comparison group is not receiving an antibiotic of that class in the prior year. 5 Other organisms included Proteus mirabilis (4.29%), Citrobacter spp (1.59%), Enterobacter spp (1.51%), Enterococcus spp (0.92%), Pseudomonas aeruginosa (0.46%), and coagulase-negative Staphylococcus spp (0.32%). More than 1 organism was isolated from 1.83% of samples. 6  Escherichia coli vs another organism isolated. 7  Klebsiella spp vs another organism isolated. 8 Antibiotic classes were aminoglycosides, carbapenems, cephalosporins, fluroquinolones, fosfomycin, nitrofurantoin, penicillins, trimethoprim-sulfamethoxazole, others (aztreonam, colistin, daptomycin, linezolid, tigecycline, vancomycin). aRR, adjusted risk ratio; rUTI, recurrent urinary tract infection; uUTI, uncomplicated urinary tract infection.
Figure 3.

Factors associated with rUTI among women with cystitis index uUTI with positive culture results, Kaiser Permanente Southern California, 2016–2021. 1 aRR and 95% CI were estimated from modified Poisson regression models with a robust error variance, adjusted for all other variables in the figure. 2 At index date (date of the earliest record for the index uUTI). 3 In the year prior to the index date. 4 For each antibiotic class, the comparison group is not receiving an antibiotic of that class in the prior year. 5 Other organisms included Proteus mirabilis (4.29%), Citrobacter spp (1.59%), Enterobacter spp (1.51%), Enterococcus spp (0.92%), Pseudomonas aeruginosa (0.46%), and coagulase-negative Staphylococcus spp (0.32%). More than 1 organism was isolated from 1.83% of samples. 6  Escherichia coli vs another organism isolated. 7  Klebsiella spp vs another organism isolated. 8 Antibiotic classes were aminoglycosides, carbapenems, cephalosporins, fluroquinolones, fosfomycin, nitrofurantoin, penicillins, trimethoprim-sulfamethoxazole, others (aztreonam, colistin, daptomycin, linezolid, tigecycline, vancomycin). aRR, adjusted risk ratio; rUTI, recurrent urinary tract infection; uUTI, uncomplicated urinary tract infection.

The findings in the adjusted analysis among women with cystitis as their index uUTI stratified by race and ethnicity were similar across strata to those in the main analysis. Characteristics associated with a higher risk of rUTI in all race and ethnicity subgroups included age 18 to 27 years, dementia, positive urine culture result at the index uUTI, more outpatient encounters, receipt of ≥3 antibiotic prescriptions, and receipt of fluoroquinolones or nitrofurantoin in the year prior to the index uUTI. Furthermore, diabetes and receipt of oral contraceptives were associated with a greater risk of rUTI in all race and ethnicity subgroups except Black women, among whom the point estimate was >1 with wide confidence intervals overlapping 1. Similar patterns were seen for receipt of Medicaid and immunocompromise, which were associated with an increased risk of rUTI in all race and ethnicity groups except Asian/Pacific Islander women. As in the main analysis, pregnancy was associated with a decreased risk of rUTI among all race and ethnicity groups. Notably, age ≥78 years was not associated with a higher risk of rUTI among Black and Asian/Pacific Islander women as it was among other race and ethnicity groups and the main analysis (Supplementary Table 2)

The findings in the analyses among females with cystitis and a positive culture result for the index uUTI stratified by race and ethnicity paralleled those of the main analysis. Characteristics associated with a greater risk of rUTI in all race and ethnicity groups included younger age, receipt of Medicaid, nonsusceptibility to ≥3 classes of antibiotics, higher number of outpatient visits, and receipt of fluroquinolones or nitrofurantoin in the year prior to the index uUTI. Due to an insufficient sample size, characteristics associated with rUTI among the other/unknown cohort could not be analyzed in the fully adjusted model (Supplementary Table 3).

DISCUSSION

This retrospective study spanning 5 years assessed risk factors associated with rUTI, an important source of morbidity [9] among women of all ages. This study describes one of the largest and most recent and diverse cohorts of women with rUTIs to date. We found that rUTI is common, occurring in nearly 15% of women following an incident uUTI, underscoring the high frequency of UTI recurrences and the substantial burden of UTIs in women. Prior studies have defined UTI recurrences in several ways [13–17]. Nevertheless, the rUTI rate that we observed (14.5%) is similar to that of ≥3 UTIs (index UTI plus ≥2 rUTIs) within 12 months of an index UTI observed in a smaller population (13%) [14]. However, it is lower than that of rUTI when defined as ≥2 UTIs (index UTI plus 1 rUTI) within 6 months of an index UTI in college-age women, who may be at greater risk of rUTI (26.6%) [13], and when defined more permissively as ≥2 UTIs (index UTI plus ≥1 rUTI) within 12 months of an index UTI (26%) [14].

Consistent with an earlier report, we found a bimodal age distribution for women with the greater risk of rUTIs among the youngest and oldest participants (18–27 and ≥78 years vs 28–67 years). The increased risk of rUTIs among younger women is thought to reflect behavioral risk factors, including sexual activity, and genetic risk factors [5, 16], including nonsecretor status and personal and familial history of UTI. The higher risk of rUTI among women who received oral contraceptive prescriptions in this study is similar to the greater risk of UTI associated with diaphragm use reported in prior studies [13], reflecting sexual activity as a likely risk factor for rUTI [29]. In contrast, hormonal changes [30] that increase colonization with uropathogens, as well as structural changes, are thought to have a greater role in increasing the risk of rUTIs among older women [16]. Similarly, in keeping with prior reports [18], in the main analysis, we found a higher incidence of rUTI among White participants vs participants of other races and ethnicities. Nonetheless, characteristics associated with greater risk of rUTI were mostly similar across subgroups in our analysis when stratified by race and ethnicity, although a higher risk of rUTI among older women in the main analysis was not seen among older Black and Asian/Pacific Islander women but was observed among older women of other races and ethnicities. However, sample size was limited for Black and Asian/Pacific Islander women in the oldest age groups, and observed differences in the risk of UTIs among races likely reflect unexamined confounders [31].

Several comorbidities were associated with an increased risk of rUTI: diabetes, immunocompromised status, dementia, and Charlson Comorbidity Index ≥1. Although diabetes is a known risk factor for UTI, likely through immunologic mechanisms [32], Raz found a nonsignificant higher risk of rUTI among women with diabetes, but those findings were likely limited by sample size [33]. While the impact of immunocompromised status on risk of rUTI has not been evaluated previously, it has been associated with a higher risk of UTI [34]. Likewise, a greater risk of rUTIs among persons with dementia was observed, mirroring a similar increased risk of UTIs in these individuals. We also noted a decreased risk of rUTI with pregnancy within 1 year of the index uUTI, possibly reflecting close monitoring and treatment of asymptomatic bacteriuria in pregnant women in this setting, which reduce the risk of UTI in pregnancy [35]. In addition, the numbers of antibiotic prescriptions and ED and outpatient visits within 1 year prior to an index uUTI were associated with a higher risk of rUTI, while the number of hospital admissions was not, possibly reflecting increased health care–seeking behavior or a greater number of conditions requiring health encounters in nonhospital settings.

Although our finding of a decreased risk of rUTI with higher BMI differs from studies that found the inverse association [36–38], other reports showed no association between BMI and risk of UTI in women or an inverse association [39, 40]. It can also be possible that risk factors for UTI may in part differ from those for rUTI, which have been less widely studied. Consistent with prior studies that reported a higher risk of symptomatic UTI following treatment of asymptomatic bacteriuria [41], we found that increased use of antibiotics (cephalosporins, fluoroquinolones, or nitrofuran), often used in outpatient settings, in the year prior to the index uUTI was associated with increased risk of rUTI in our study population, possibly due to antibiotic-associated changes in the gut and/or vaginal microbiota that appear to raise the risk of rUTI [12]. Similarly, multidrug resistance in isolates in women with cystitis whose urine was cultured was associated with an increased risk of rUTI, consistent with findings from previous studies [12, 42].

The strengths of this study include detailed clinical and health outcomes data extracted from a large patient sample drawn from a racially, socioeconomically, and age-diverse population receiving care at multiple medical centers over 5 years. In addition, this study focused on participants without UTI in the 12 months prior to the index uUTI, avoiding biases introduced by studying populations with recent UTI who are at higher risk of rUTI [14]. Limitations include the use of a threshold for positive culture that is lower than the threshold of ≥105 CFU/mL used in some studies but is higher than that used in other prior studies [13, 15, 18]. Furthermore, the definition did not include clinical symptoms or dipstick or microscopic urinalysis, which are not consistently captured in the electronic health record. Instead, we created definitions using routinely collected electronic health record data that would be feasible to use across health systems [22]. Together, the limitations of our definitions improved the sensitivity of the diagnosis of UTI but may have resulted in inclusion of some members with asymptomatic bacteriuria. However, testing and treatment are typically prompted by clinical symptoms, and we required combinations of diagnosis codes, antibiotic prescriptions, and positive urine culture results, likely reducing the impact of this limitation.

In conclusion, we report the epidemiology of rUTI in a large, sociodemographically diverse population of women without a history of recent UTI, providing recent data that may be more generalizable than most earlier studies that focused on smaller cohorts of a limited age range or on cohorts with recent UTI or a history of rUTI that raised the risk of rUTI among their study populations. We found that rUTI following uUTI is common, particularly among younger and older women, those with comorbidities, and those with more antibiotic prescriptions in the year prior to the index uUTI or with an index uUTI caused by multidrug-resistant organisms. The rising incidence of UTI and worsening antibiotic resistance underscore the growing unmet medical and public health need to develop preventive measures directed against UTI, including vaccines [22, 23]. Current assessment of the epidemiology of rUTI provided by this report may help guide development and use of preventive therapies, including potential vaccines against common uropathogens.

Supplementary Data

Supplementary materials are available at The Journal of Infectious Diseases online (http://jid.oxfordjournals.org/). Supplementary materials consist of data provided by the author that are published to benefit the reader. The posted materials are not copyedited. The contents of all supplementary data are the sole responsibility of the authors. Questions or messages regarding errors should be addressed to the author.

Notes

Acknowledgments. We thank Pooja M. Patel, MPH, and Rossy F. Perez for their assistance in drafting the manuscript.

Financial support. This work was supported by GlaxoSmithKline.

References

1

Ahmed
 
NH
,
Hussain
 
T
,
Biswal
 
I
.
Comparison of etiological agents and resistance patterns of the pathogens causing community acquired and hospital acquired urinary tract infections
.
J Glob Infect Dis
 
2014
;
6
:
135
6
.

2

Stamm
 
WE
,
Norrby
 
SR
.
Urinary tract infections: disease panorama and challenges
.
J Infect Dis
 
2001
;
183
(
Suppl 1
):
S1
4
.

3

Schappert
 
SM
,
Rechtsteiner
 
EA
.
Ambulatory medical care utilization estimates for 2007
.
Vital Health Stat
 
2011
;
13
:
1
38
.

4

Simmering
 
JE
,
Tang
 
F
,
Cavanaugh
 
JE
,
Polgreen
 
LA
,
Polgreen
 
PM
.
The increase in hospitalizations for urinary tract infections and the associated costs in the United States, 1998–2011
.
Open Forum Infect Dis
 
2017
;
4
:
ofw281
.

5

Foxman
 
B
.
The epidemiology of urinary tract infection
.
Nat Rev Urol
 
2010
;
7
:
653
60
.

6

Flores-Mireles
 
AL
,
Walker
 
JN
,
Caparon
 
M
,
Hultgren
 
SJ
.
Urinary tract infections: epidemiology, mechanisms of infection and treatment options
.
Nat Rev Microbiol
 
2015
;
13
:
269
84
.

7

Foxman
 
B
,
Barlow
 
R
,
D’Arcy
 
H
,
Gillespie
 
B
,
Sobel
 
JD
.
Urinary tract infection: self-reported incidence and associated costs
.
Ann Epidemiol
 
2000
;
10
:
509
15
.

8

Nielubowicz
 
GR
,
Mobley
 
HL
.
Host-pathogen interactions in urinary tract infection
.
Nat Rev Urol
 
2010
;
7
:
430
41
.

9

Foxman
 
B
.
Epidemiology of urinary tract infections: incidence, morbidity, and economic costs
.
Am J Med
 
2002
;
113
(
Suppl 1A
):
5S
13S
.

10

Grigoryan
 
L
,
Trautner
 
BW
,
Gupta
 
K
.
Diagnosis and management of urinary tract infections in the outpatient setting: a review
.
JAMA
 
2014
;
312
:
1677
84
.

11

Walker
 
E
,
Lyman
 
A
,
Gupta
 
K
,
Mahoney
 
MV
,
Snyder
 
GM
,
Hirsch
 
EB
.
Clinical management of an increasing threat: outpatient urinary tract infections due to multidrug-resistant uropathogens
.
Clin Infect Dis
 
2016
;
63
:
960
5
.

12

Worby
 
CJ
,
Schreiber
 
HL
,
Straub
 
TJ
, et al.   
Longitudinal multi-omics analyses link gut microbiome dysbiosis with recurrent urinary tract infections in women
.
Nat Microbiol
 
2022
;
7
:
630
9
.

13

Foxman
 
B
.
Recurring urinary tract infection: incidence and risk factors
.
Am J Public Health
 
1990
;
80
:
331
3
.

14

Ikaheimo
 
R
,
Siitonen
 
A
,
Heiskanen
 
T
, et al.   
Recurrence of urinary tract infection in a primary care setting: analysis of a 1-year follow-up of 179 women
.
Clin Infect Dis
 
1996
;
22
:
91
9
.

15

Scholes
 
D
,
Hooton
 
TM
,
Roberts
 
PL
,
Stapleton
 
AE
,
Gupta
 
K
,
Stamm
 
WE
.
Risk factors for recurrent urinary tract infection in young women
.
J Infect Dis
 
2000
;
182
:
1177
82
.

16

Raz
 
R
,
Gennesin
 
Y
,
Wasser
 
J
, et al.   
Recurrent urinary tract infections in postmenopausal women
.
Clin Infect Dis
 
2000
;
30
:
152
6
.

17

Hooton
 
TM
,
Stapleton
 
AE
,
Roberts
 
PL
, et al.   
Perineal anatomy and urine-voiding characteristics of young women with and without recurrent urinary tract infections
.
Clin Infect Dis
 
1999
;
29
:
1600
1
.

18

Foxman
 
B
,
Gillespie
 
B
,
Koopman
 
J
, et al.   
Risk factors for second urinary tract infection among college women
.
Am J Epidemiol
 
2000
;
151
:
1194
205
.

19

Hooton
 
TM
,
Scholes
 
D
,
Hughes
 
JP
, et al.   
A prospective study of risk factors for symptomatic urinary tract infection in young women
.
N Engl J Med
 
1996
;
335
:
468
74
.

20

Stamm
 
WE
,
McKevitt
 
M
,
Roberts
 
PL
,
White
 
NJ
.
Natural history of recurrent urinary tract infections in women
.
Rev Infect Dis
 
1991
;
13
:
77
84
.

21

Keren
 
R
,
Shaikh
 
N
,
Pohl
 
H
, et al.   
Risk factors for recurrent urinary tract infection and renal scarring
.
Pediatrics
 
2015
;
136
:
e13
21
.

22

Bruxvoort
 
KJ
,
Bider-Canfield
 
Z
,
Casey
 
JA
, et al.   
Outpatient urinary tract infections in an era of virtual healthcare: trends from 2008 to 2017
.
Clin Infect Dis
 
2020
;
71
:
100
8
.

23

Micoli
 
F
,
Bagnoli
 
F
,
Rappuoli
 
R
,
Serruto
 
D
.
The role of vaccines in combatting antimicrobial resistance
.
Nat Rev Microbiol
 
2021
;
19
:
287
302
.

24

Koebnick
 
C
,
Langer-Gould
 
AM
,
Gould
 
MK
, et al.   
Sociodemographic characteristics of members of a large, integrated health care system: comparison with US Census Bureau data
.
Perm J
 
2012
;
16
:
37
41
.

25

Jackson
 
SL
,
Boyko
 
EJ
,
Scholes
 
D
,
Abraham
 
L
,
Gupta
 
K
,
Fihn
 
SD
.
Predictors of urinary tract infection after menopause: a prospective study
.
Am J Med
 
2004
;
117
:
903
11
.

26

Malik
 
RD
,
Wu
 
YR
,
Zimmern
 
PE
.
Definition of recurrent urinary tract infections in women: which one to adopt?
 
Female Pelvic Med Reconstr Surg
 
2018
;
24
:
424
9
.

27

Tartof
 
SY
,
Slezak
 
JM
,
Puzniak
 
L
, et al.   
Immunocompromise and durability of BNT162b2 vaccine against severe outcomes due to omicron and delta variants
.
Lancet Respir Med
 
2022
;
10
:
e61
2
.

28

Quan
 
H
,
Sundararajan
 
V
,
Halfon
 
P
, et al.   
Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data
.
Med Care
 
2005
;
43
:
1130
9
.

29

Foxman
 
B
,
Frerichs
 
RR
.
Epidemiology of urinary tract infection: I. Diaphragm use and sexual intercourse
.
Am J Public Health
 
1985
;
75
:
1308
13
.

30

Raz
 
R
,
Stamm
 
WE
.
A controlled trial of intravaginal estriol in postmenopausal women with recurrent urinary tract infections
.
N Engl J Med
 
1993
;
329
:
753
6
.

31

Vyas
 
DA
,
Eisenstein
 
LG
,
Jones
 
DS
.
Hidden in plain sight—reconsidering the use of race correction in clinical algorithms
.
N Engl J Med
 
2020
;
383
:
874
82
.

32

Mohanty
 
S
,
Kamolvit
 
W
,
Scheffschick
 
A
, et al.   
Diabetes downregulates the antimicrobial peptide psoriasin and increases E coli burden in the urinary bladder
.
Nat Commun
 
2022
;
13
:
4983
.

33

Raz
 
R
.
Urinary tract infection in postmenopausal women
.
Korean J Urol
 
2011
;
52
:
801
8
.

34

Tolkoff-Rubin
 
NE
,
Rubin
 
RH
.
Urinary tract infection in the immunocompromised host: lessons from kidney transplantation and the AIDS epidemic
.
Infect Dis Clin North Am
 
1997
;
11
:
707
17
.

35

Urinary tract infections in pregnant individuals
.
Obstet Gynecol
 
2023
;
142
:
435
45
.

36

Semins
 
MJ
,
Shore
 
AD
,
Makary
 
MA
,
Weiner
 
J
,
Matlaga
 
BR
.
The impact of obesity on urinary tract infection risk
.
Urology
 
2012
;
79
:
266
9
.

37

Nseir
 
W
,
Farah
 
R
,
Mahamid
 
M
, et al.   
Obesity and recurrent urinary tract infections in premenopausal women: a retrospective study
.
Int J Infect Dis
 
2015
;
41
:
32
5
.

38

Kaspersen
 
KA
,
Pedersen
 
OB
,
Petersen
 
MS
, et al.   
Obesity and risk of infection: results from the Danish Blood Donor Study
.
Epidemiology
 
2015
;
26
:
580
9
.

39

Saliba
 
W
,
Barnett-Griness
 
O
,
Rennert
 
G
.
The association between obesity and urinary tract infection
.
Eur J Intern Med
 
2013
;
24
:
127
31
.

40

Nassaji
 
M
,
Ghorbani
 
R
,
Tamadon
 
MR
,
Bitaraf
 
M
.
Association between body mass index and urinary tract infection in adult patients
.
Nephrourol Mon
 
2015
;
7
:
e22712
.

41

Cai
 
T
,
Mazzoli
 
S
,
Mondaini
 
N
, et al.   
The role of asymptomatic bacteriuria in young women with recurrent urinary tract infections: to treat or not to treat?
 
Clin Infect Dis
 
2012
;
55
:
771
7
.

42

Stapleton
 
AE
.
The vaginal microbiota and urinary tract infection
.
Microbiol Spectr
 
2016
;
4
:
10.1128/microbiolspec.UTI-0025-2016
.

Author notes

Potential conflicts of interest. B. K. A., S. Y. T., L. H. C., R. C., I. A. C. R., and J. H. K. are employees of KPSC, which has been contracted by GlaxoSmithKline (GSK) to conduct this study. K. J. B. is an adjunct investigator at KPSC. B. K. A. received funding from Dynavax, Genentech, Moderna, GSK, and Pfizer unrelated to this work. S. Y. T. received funding from Pfizer unrelated to this work. J. H. K. received funding from Moderna unrelated to this work. K. J. B. received funding from Dynavax, Moderna, and Pfizer unrelated to this work. M. P. is a full-time employee of the GSK group of companies and holds shares of the GSK group of companies. J. E. S. is a full-time employee of the GSK group of companies and holds shares of the GSK group of companies.

All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

Supplementary data