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PharmacoEconomics

, Volume 23, Issue 11, pp 1123–1142 | Cite as

Acute pyelonephritis among adults

Cost of illness and considerations for the economic evaluation of therapy
  • Patricia Brown
  • Moran Ki
  • Betsy Foxman
Review Article

Abstract

Urinary tract infection (UTI) is an infection anywhere in the urinary tract, most commonly due to bacteria. If infection involves the kidney, the UTI is termed acute pyelonephritis (APN). An estimated 10–30% of all patients with APN are hospitalised for treatment; in the US, the incidence of hospitalisation is 11.7 per 10 000 for women and 2.4 per 10 000 for men. Perhaps because of the generally good prognosis of APN when treated with current antibacterial therapies, there have been relatively few studies of patient management and therapeutic options for the disease, or of its epidemiology and risk factors.

The most cost-effective outpatient management strategy (immediate discharge, observation followed by discharge, etc.) is currently unknown. Appropriate antimicrobial selection is clearly important, as treatment failures will increase the cost of care and result in additional morbidity for patients. The direct and indirect costs of APN are significant: an estimated $US2.14 billion (year 2000 values). Cost estimates are most sensitive to hospitalisation rates, which are unknown in the US. Additional studies are needed to better define when in-hospital treatment is required. As the pathogens causing APN are increasingly becoming resistant to current therapies, not only are clinical trials in order to test the effectiveness of alternative therapies, but epidemiological studies to identify risk factors for infection with a resistant isolate and effective prevention strategies are required, especially among those with previous episodes of APN.

Keywords

Urinary Tract Infection Cystitis Pyelonephritis Oral Therapy Antibacterial Therapy 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgements

The authors thank Robin Staelgrave for excellent secretarial assistance. Patricia Brown is a consultant to Ortho-McNeil Pharmaceuticals. No funding was provided in the preparation of this manuscript.

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Copyright information

© Adis Data Information BV 2005

Authors and Affiliations

  1. 1.Division of Infectious Diseases, Department of Internal Medicine, School of MedicineWayne State UniversityDetroitUSA
  2. 2.Department of Preventive MedicineEulji University School of MedicineDaejonSouth Korea
  3. 3.Department of Epidemiology, School of Public HealthUniversity of MichiganAnn ArborUSA

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