1429. Real-World Study of Patients with Uncomplicated Urinary Tract Infection in the United States: High-Risk Comorbid Conditions and Burden of Illness

Abstract Background Urinary tract infections (UTIs) are associated with significant morbidity and economic burden, particularly in the elderly and patients with comorbidities. We used real-world data (RWD) to assess healthcare resource use (HRU) and costs in patients with uncomplicated UTI (uUTI) and high-risk comorbid conditions in the US. Methods This was a retrospective cohort study (IBM MarketScan RWD, commercial/Medicare Supplemental claims January 1, 2014–December 31, 2017) of females ≥ 12 years of age with uUTI who had an oral antibiotic prescription ± 5 days of uUTI diagnosis (index date) and continuous health-plan enrollment for ≥ 1 year pre-/post index date. Five high-risk cohorts and matched-control cohorts (baseline age, region) were identified: controlled type 2 diabetes (T2D), mild/moderate chronic kidney disease (CKD), recurrent UTI (rUTI), elderly (ELD), and postmenopausal (PMP) (Table 1). Sample sizes were balanced via random match selection (1:5 case:control). uUTI-related HRU and costs were compared between cases and controls (index episode/1-year follow-up) using multivariable generalized linear models. Table 1. Cohort assignment for high-risk cohorts and controls Results Of 339,100 patients with uUTI, case/control cohorts comprised T2D, n=15,423/n=77,115; CKD, n=1041/n=5205; rUTI, n=7937/n=39,685; ELD, n=23,666/n=118,330; and PMP, n=105,608/n=211,216 patients. HRU trends across cohorts varied. During 1-year followup, outpatient visits were significantly different for cases versus controls in the T2D, rUTI, and PMP cohorts (p ≤ 0.0079), with higher case than control values in the rUTI and PMP cohorts; pharmacy claims were significantly higher for rUTI, ELD, and PMP cases, and inpatient visits were significantly higher for ELD and PMP cases, versus controls (all p < 0.0001; Table 2). Adjusted total uUTI-related costs (emergency room + outpatient + pharmacy) were significantly different (p < 0.0001) for cases versus controls at index episode and during follow-up in all cohorts except CKD: case values were higher than controls at index episode and during follow-up in the T2D cohort, and during follow-up in the rUTI and ELD cohorts (Table 3). Table 2. uUTI-related HRU* for cases versus controls according to high-risk cohort Table 3. uUTI-related costs* for cases versus controls according to high-risk cohort Conclusion Females in some high-risk case cohorts had higher uUTI-related HRU and costs versus controls. Further studies of relationships between comorbidities and uUTI burden are needed. Disclosures Madison T. Preib, MPH, STATinMED Research (Employee, Former employee of STATinMED Research, which received funding from GlaxoSmithKline plc. to conduct this study) Alen Marijam, MSc, GlaxoSmithKline plc. (Employee, Shareholder) Fanny S. Mitrani-Gold, MPH, GlaxoSmithKline plc. (Employee, Shareholder) Daniel C. Gibbons, PhD, GlaxoSmithKline plc. (Employee, Shareholder) Xiaoxi Sun, MA, STATinMED Research (Employee, Employee of STATinMED Research, which received funding from GlaxoSmithKline plc. to conduct this study) Christopher Adams, MPH, STATinMED Research (Employee, Employee of STATinMED Research, which received funding from GlaxoSmithKline plc. to conduct this study) Ashish V. Joshi, PhD, GlaxoSmithKline plc. (Employee, Shareholder)

Background. Urinary tract infection (UTI) as the reason for hospitalization costs the US healthcare system nearly $3 billion annually, and is on the rise. We set out to explore the full burden of UTI hospitalizations in the US, including admissions both for UTI and with UTI.
Methods. We conducted a cross-sectional multicenter study within the National Inpatient Sample (NIS) database, a 20% stratified sample of discharges from US hospitals, from 2018, to explore hospital resource utilization of patients discharged with a UTI diagnosis. We divided UTI into mutually exclusive categories of complicated (cUTI), uncomplicated (uUTI), and catheter-associated (CAUTI), in addition to healthcare-associated (HAUTI). We calculated unadjusted hospital charges, costs, average reimbursements, and length of stay (LOS) associated with these infections.

Conclusion.
The nearly 3 million hospital admissions with a UTI represent 8% of all annual admissions in the US. Though the majority are considered uncomplicated, all categories are nearly equally costly. Given that over 80% of all UTI-associated admissions are with UTI as a secondary diagnosis, annual estimates of primary UTI costs likely significantly underrepresent the true economic burden of UTI on the US healthcare system. Background. The evolution of antibiotic resistance in Escherichia coli (E. coli) hampers the treatment of UTIs, mirroring the global public health concerns around antimicrobial resistance. Pivmecillinam, an oral prodrug of mecillinam (a β-lactam antibiotic), is used as first-line treatment for uUTIs in Denmark. Here, we examine the use of, and the prevalence of resistance to, mecillinam in Denmark in the primary care setting.

Disclosures. Marya Zilberberg, MD, MPH, Cleveland Clinic
Methods. Nationwide data on the use of and resistance to pivmecillinam (reported as its active form, mecillinam) was extracted and examined from the Danish Integrated Antimicrobial Resistance Monitoring and Research Programme (DANMAP) 2019 report (www.danmap.org). Prevalence estimates of resistance reported by DANMAP 2019 were obtained from the Danish Microbiology Database (MiBA).
Results. In 2019, pivmecillinam accounted for about 27% of penicillins and 75% of penicillins with extended spectrum consumed in primary healthcare in Denmark. Pivmecillinam usage has increased primarily due to changes in recommendations for the treatment of uUTIs. Between 2010 and 2019, pivmecillinam usage in Denmark increased by 45% from 1.67 to 2.43, defined as daily doses per 1,000 inhabitants per day. In 2019, analysis of 83,850 urinary isolates from patients in the primary care setting with E. coli revealed a 5.3% resistance rate to mecillinam. Time-trend analysis using data from a 10-year period showed a small but significant decrease from the 5.5% resistance rate recorded in 2010 (p=0.001). In general, in spite of increasing use in Denmark, the development of resistance to pivmecillinam has remained low. In fact, a slight decline in pivmecillinam resistance was observed over the past decade.
Conclusion. Despite the rising number of UTIs and the increasing use of pivmecillinam for uUTI in Denmark, over the past decade, the development of resistance to pivmecillinam remains low. Background. Urinary tract infections (UTIs) are associated with significant morbidity and economic burden, particularly in the elderly and patients with comorbidities. We used real-world data (RWD) to assess healthcare resource use (HRU) and costs in patients with uncomplicated UTI (uUTI) and high-risk comorbid conditions in the US.

Real-World Study of Patients with Uncomplicated Urinary Tract Infection in the United States: High-Risk Comorbid Conditions and Burden of Illness
Methods. This was a retrospective cohort study (IBM MarketScan RWD, commercial/Medicare Supplemental claims January 1, 2014-December 31, 2017) of females ≥ 12 years of age with uUTI who had an oral antibiotic prescription ± 5 days of uUTI diagnosis (index date) and continuous health-plan enrollment for ≥ 1 year pre-/post index date. Five high-risk cohorts and matched-control cohorts (baseline age, region) were identified: controlled type 2 diabetes (T2D), mild/moderate chronic kidney disease (CKD), recurrent UTI (rUTI), elderly (ELD), and postmenopausal (PMP) ( Table 1). Sample sizes were balanced via random match selection (1:5 case:control). uUTI-related HRU and costs were compared between cases and controls (index episode/1-year follow-up) using multivariable generalized linear models.  T2D, n=15,423/n=77,115;CKD, n=1041/n=5205;rUTI, n=7937/n=39,685;ELD, n=23,666/ n=118,330;and PMP, n=105,608/n=211,216 patients. HRU trends across cohorts varied. During 1-year followup, outpatient visits were significantly different for cases versus controls in the T2D, rUTI, and PMP cohorts (p ≤ 0.0079), with higher case than control values in the rUTI and PMP cohorts; pharmacy claims were significantly higher for rUTI, ELD, and PMP cases, and inpatient visits were significantly higher for ELD and PMP cases, versus controls (all p < 0.0001; Table 2). Adjusted total uUTI-related costs (emergency room + outpatient + pharmacy) were significantly different (p < 0.0001) for cases versus controls at index episode and during follow-up in all cohorts except CKD: case values were higher than controls at index episode and during follow-up in the T2D cohort, and during follow-up in the rUTI and ELD cohorts (Table 3). Table 2. uUTI-related HRU* for cases versus controls according to high-risk cohort Table 3. uUTI-related costs* for cases versus controls according to high-risk cohort Conclusion. Females in some high-risk case cohorts had higher uUTI-related HRU and costs versus controls. Further studies of relationships between comorbidities and uUTI burden are needed.