SUMMARY
The incidence of urinary tract infections (UTIs) is seasonal, and this seasonality may be explained by changes in weather, specifically, temperature. Using data from the Nationwide Inpatient Sample, we identified the geographic location for 581813 hospital admissions with the primary diagnosis of a UTI and 56630773 non-UTI hospitalizations in the United States. Next, we used data from the National Climatic Data Center to estimate the monthly average temperature for each location. Using a case-control design, we modeled the odds of a hospital admission having a primary diagnosis of UTI as a function of demographics, payer, location, patient severity, admission month, year and the average temperature for the admission month. We found, after controlling for patient factors and month of admission, the odds of a UTI diagnosis increased with higher temperatures in a dose-dependent manner. For example, relative to months with average temperatures of 5–7.5°C, an admission in a month with an average temperature of 27.5–30°C has 20% higher odds of a primary diagnosis of UTI. However, in months with extremely high average temperatures (above 30°C), the odds of a UTI admissions decreases, perhaps due to changes in behavior. Thus, at a population level, UTI related hospitalizations are associated with warmer weather.