The Effect of Measured Radiotherapy Dose on Intrathecal Drug Delivery System Function.

OBJECTIVES: Radiation therapy (RT) and intrathecal drug delivery systems (IDDS) are often used concurrently to optimize pain management in patients with cancer. Concern remains among clinicians regarding the potential for IDDS malfunction in the setting of RT. Here we assessed the frequency of IDDS malfunction in a large cohort of patients treated with RT. MATERIALS AND METHODS: Cancer patients with IDDS and subsequent RT at our institution from 2011 to 2019 were eligible for this study. Patients were excluded in the rare event that their IDDS was managed by an outside clinic and follow-up documentation was unavailable. Eighty-eight patients aged 22-88 years old (43% female, 57% male) representing 106 separate courses of RT were retrospectively identified. Patients received varying levels of radiation for treatment of cancer and cumulative dose to the IDDS was calculated. IDDS interrogation was subsequently performed by a pain specialist. Malfunction was recorded as deviation from the expected drug volume and/or device errors reported upon interrogation as defined by the manufacturer. RESULTS: Total measured RT dose to the IDDS ranged from 0 to 18.0 Gy (median = 0.2 Gy) with median dose of 0.04 Gy/fraction (range, 0-3.2 Gy/fraction). Ten pumps received a total dose >2 Gy and three received ≥5 Gy. Eighty-two percentage of patients had follow-up with a pain specialist for IDDS interrogation and all patients underwent follow-up with a healthcare provider following RT. There were zero incidences of IDDS malfunction related to RT. No patient had clinical evidence of radiation related pump malfunction at subsequent encounters. CONCLUSIONS: We found no evidence that RT in patients with IDDS led to device failure or dysfunction. While radiation oncologists and pain specialists should coordinate patient care, it does not appear that RT dose impacts the function of the IDDS to warrant significant clinical concern.

Impact of numeracy preferences on information needs for genome sequencing results.

OBJECTIVE: This study investigated how self-reported numeracy ability and preferences predict preferences for the amount and types of information provided about genome sequencing results among 1080 women diagnosed with breast cancer at age 40 or younger. METHODS: Participants reported their level of interest in 14 topics related to genome sequencing results on a survey. We calculated a Participant Information Needs (PIN) value based on the number of topics for which a participant wanted "a lot" of information. Numeracy was assessed using the Subjective Numeracy Scale. Analyses examined associations between the numeracy ability and preferences subscales, information needs for individual content topics, and PIN. RESULTS: Higher preference for numeric data was correlated with increased PIN (ß = 0.60, p < 0.01), while numeric ability was not correlated (ß=0.16, p = 0.22). Family composition and knowledge about sequencing benefits were also significant covariates. Patients most preferred information on topics related to disease risk and health implications. CONCLUSION: There may be utility in separating numeracy ability and preferences into two components in future research in order to investigate how numeracy impacts the return of genetic testing results. PRACTICE IMPLICATIONS: These data suggest that numeracy preferences may be important to inform strategies for the return of genetic results.

Impact of Pre-blood Collection Factors on Plasma Metabolomic Profiles.

Demographic, lifestyle and biospecimen-related factors at the time of blood collection can influence metabolite levels in epidemiological studies. Identifying the major influences on metabolite concentrations is critical to designing appropriate sample collection protocols and considering covariate adjustment in metabolomics analyses. We examined the association of age, sex, and other short-term pre-blood collection factors (time of day, season, fasting duration, physical activity, NSAID use, smoking and alcohol consumption in the days prior to collection) with 133 targeted plasma metabolites (acylcarnitines, amino acids, biogenic amines, sphingolipids, glycerophospholipids, and hexoses) among 108 individuals that reported exposures within 48 h before collection. The differences in mean metabolite concentrations were assessed between groups based on pre-collection factors using two-sided t-tests and ANOVA with FDR correction. Percent differences in metabolite concentrations were negligible across season, time of day of collection, fasting status or lifestyle behaviors at the time of collection, including physical activity or the use of tobacco, alcohol or NSAIDs. The metabolites differed in concentration between the age and sex categories for 21.8% and 14.3% metabolites, respectively. In conclusion, extrinsic factors in the short period prior to collection were not meaningfully associated with concentrations of selected endogenous metabolites in a cross-sectional sample, though metabolite concentrations differed by age and sex. Larger studies with more coverage of the human metabolome are warranted.