Association between polypharmacy and health-related quality of life among cancer survivors in the United States.

PURPOSE: Polypharmacy (PP) is present in many cancer survivors and may lead to lower health-related quality of life (HRQoL). The study's objective was to evaluate the association between PP and HRQoL among cancer survivors in the US. METHODS: A cross-sectional analysis of the Medical Expenditure Panel Survey (MEPS) was conducted. Our analytic sample included all adult patients with cancer, during even years 2008-2014. PP was defined as reported use of five or more unique therapeutic classes of prescription medications. The MEPS measured HRQoL using the Short Form 12-Item Health Survey Version 2 (SF-12v2) physical component summary (PCS) and mental component summary (MCS) scores. Ordinary least squares regressions were used to assess associations between PP and HRQoL controlling for demographic, socioeconomic, and clinical factors. RESULTS: PP was prevalent among 44.4% of 10.1 million cancer survivors per calendar year (on average) for years 2008, 2010, 2012, and 2014. The mean adjusted PCS score for cancer survivors with PP was 35.8 points, which was significantly lower compared with cancer survivors without PP (39.5) by 3.7 points (p value < .0001). Conversely, the mean adjusted MCS scores were not significantly lower in cancer survivors with PP compared with cancer survivors without PP (44.9 versus 45.4, p value = 0.3145). CONCLUSIONS: PP was prevalent in 44.4% of cancer survivors and was associated with significantly poorer physical HRQoL than reported in their counterparts without PP. IMPLICATIONS FOR CANCER SURVIVORS: PP should be examined closely among cancer survivors because of increased association with poorer physical HRQoL.

Heterogeneity in the treatment of bloodstream infections identified from antibiotic exposure mapping.

PURPOSE: As changes in antibiotic therapy are common, intent-to-treat and definitive therapy exposure definitions in infectious disease clinical trials and observational studies may not accurately reflect all antibiotics received over the course of the infection. Therefore, we sought to describe changes in antibiotic therapy and unique treatment patterns among patients with bacteremia. METHODS: We conducted a retrospective cohort study of hospitalizations from Veterans Affairs (VA) Medical Centers (January 2002-September 2015) and community hospitals (de-identified Optum Clinformatics DataMart with matched Premier Hospital data; October 2009-March 2013). In the VA population, antibiotic exposures were mapped from the culture collection date among those with positive Staphylococcus aureus cultures. In the Optum-Premier population, exposures were mapped from the admission date among those with a primary diagnosis of bacteremia. RESULTS: Our study included 50 467 bacteremia admissions, with only 14% of admissions having the same treatment pattern as another admission. For every 100 bacteremia admissions, 89 had changes in antibiotic therapy. For every 100 bacteremia admissions with changes in therapy, 95 had unique antibiotic treatment patterns. These findings were consistent in both populations, over time, and among different facilities within study populations. The median time to first therapy change was 2 days after initial therapy, with a median of three changes. CONCLUSIONS: Changes in antibiotic therapy for bloodstream infections were nearly universal regardless of hospital setting. Based on our findings, common antibiotic exposure definitions of intent-to-treat and definitive therapy would misclassify exposure in 86% of admissions, which highlights the need for better operational definitions of exposure in infectious diseases research.