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Relative Incidence of Emergency Department Visits After Treatment for Prostate Cancer With Radiation Therapy or Radical Prostatectomy

Abstract

Purpose

Side effect profiles play an important role in treatment decisions for localized prostate cancer. Emergency department (ED) visits, which may be due to side effects from treatment, can be measured in real-world, structured, electronic health record (EHR) data. The goal of this study was to determine whether treatments for localized prostate cancer are associated with ED visits, as a measure of side effects, using EHR data.

Methods and materials

We used a self-controlled case series study design, including patients treated at an urban academic medical center with radiation therapy (RT) or radical prostatectomy (RP) for prostate cancer between 2011 and 2020 who had visits documented for ≥6 months before and after treatment and ≥1 ED visit. We estimated relative incidences (RI) of ED visits, comparing incidence in the exposed and unexposed periods, with the exposed period being between start of treatment and 1 month after completion, and the unexposed period consisting of all other documented time.

Results

Among men who had at least 1 ED visit and after adjusting for age, there were higher rates of ED visits after RP (RI, 20.4; 95% confidence interval [CI], 15.4-27.0; P < .001), RT overall (RI, 2.4; CI, 1.7-3.4; P < .001), intensity modulated radiation therapy with high dose-rate brachytherapy (RI, 3.4; CI, 1.7-6.8; P < .001) or stereotactic body radiation therapy boost (RI, 7.1; CI, 3.4-14.8; P < .001), and high dose rate brachytherapy alone (RI, 16.3; CI, 7.2-36.9; P < .001) compared with unexposed time. The number needed to harm to result in an ED visit was less for RP (17; CI, 13-23) than RT overall (43; CI, 25-126), but varied by RT modality.

Conclusions

In summary, relative rates of ED visits vary by treatment type, suggesting differing severities of side effects. These data may aid in selecting treatments and demonstrate the feasibility of using the self-controlled case series study design on ED visits in real-world, structured EHR data to better understand side effects of treatment.

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