Faculty Bibliography

Survival modeling with time-varying coefficients has proven useful in analyzing time-to-event data with one or more distinct failure types. When studying the cause-specific etiology of breast and prostate cancers using the large-scale data from the Surveillance, Epidemiology, and End Results (SEER) Program, we encountered two major challenges that existing methods for estimating time-varying coefficients cannot tackle. First, these methods, dependent on expanding the original data in a repeated measurement format, result in formidable time and memory consumption as the sample size escalates to over one million. In this case, even a well-configured workstation cannot accommodate their implementations. Second, when the large-scale data under analysis include binary predictors with near-zero variance (e.g., only 0.6% of patients in our SEER prostate cancer data had tumors regional to the lymph nodes), existing methods suffer from numerical instability due to ill-conditioned second-order information. The estimation accuracy deteriorates further with multiple competing risks. To address these issues, we propose a proximal Newton algorithm with a shared-memory parallelization scheme and tests of significance and nonproportionality for the time-varying effects. A simulation study shows that our scalable approach reduces the time and memory costs by orders of magnitude and enjoys improved estimation accuracy compared with alternative approaches. Applications to the SEER cancer data demonstrate the real-world performance of the proximal Newton algorithm.

BACKGROUND:The quality of prostate cancer (PCa) content on Instagram is unknown. METHODS:We examined 62 still-images and 64 video Instagram posts using #prostatecancer on 5/18/20. Results were assessed with validated tools. RESULTS:Most content focused on raising awareness or sharing patient stories (46%); only 9% was created by physicians. 90% of content was low-to-moderate quality and most was understandable, but actionability was 0%. Of the 30% of content including objective information, 40% contained significant misinformation. Most posts had comments offering social support. CONCLUSIONS:Instagram is a source of understandable PCa content and social support; however, information was poorly actionable and had some misinformation.

To identify biomarkers of exposure present in Heated Tobacco Products (HTPs) users' urine which are associated with bladder cancer and to compare quantitative biomarker levels to those seen in combustible cigarette users. A systematic literature review was conducted in December 2020 with no date limits. Relevant studies that reported quantitative urinary biomarker of exposure in HTP users were included. Biomarkers and their parent compounds were classified by carcinogenicity according to the International Agency for Research on Cancer Monographs and were cross-referenced with the Collaborative on Health and the Environment Toxicant and Disease Database to determine associations with bladder cancer. Our literature search identified 561 articles and 30 clinical trial reports. 11 studies met inclusion criteria. These studies identified 29 biomarkers of exposure present in HTP users' urine, which reflect exposure to 21 unique parent compounds. Of these parent compounds, 14 are carcinogens and 10 have a known link to bladder cancer. HTP users' biomarkers of exposure were present at lower levels than combustible cigarette users but higher than never-smokers. Biomarkers of exposure to bladder carcinogens are present in the urine of HTP users. While levels of these biomarkers appear to be lower than combustible cigarette users, chronic urothelial exposure to bladder carcinogens is concerning and degree of bladder cancer risk remains unknown. Further long-term study is needed to elucidate the bladder cancer risk of HTP use.

BACKGROUND:Prenatal phthalate exposure has been associated with lower birth weight but also higher weight in childhood. Few studies have examined weight or adiposity from birth to childhood and thus cannot assess growth trajectories associated with exposure. OBJECTIVE:We assessed associations between maternal phthalate exposures in pregnancy and child weight and adiposity measured prenatally through childhood (3-6 years of age). METHODS: RESULTS: DISCUSSION:We observed associations between prenatal exposure to phthalates and lower weight at birth but not at childhood follow-up visits. However, for adiposity, we observed an interesting pattern of association with low adiposity at delivery as well as high adiposity at 3-4 years of age. Although it is not clear from our results whether these associations occur within the same children, such a pattern of adiposity in early life has been linked to cardiometabolic disease in adulthood and deserves special attention as an outcome in the study of prenatal exposures in the developmental origins of health and disease. https://doi.org/10.1289/EHP10077.

OBJECTIVE:To develop a screening tool to identify emergency department (ED) patients at risk of entering a homeless shelter, which could inform targeting of interventions to prevent future homelessness episodes. DATA SOURCES/METHODS:Linked data from (1) ED patient baseline questionnaires and (2) citywide administrative homeless shelter database. STUDY DESIGN/METHODS:Stakeholder-informed predictive modeling utilizing ED patient questionnaires linked with prospective shelter administrative data. The outcome was shelter entry documented in administrative data within 6 months following the baseline ED visit. Exposures were responses to questions on homelessness risk factors from baseline questionnaires. DATA COLLECTION/EXTRACTION METHODS/METHODS:Research assistants completed questionnaires with randomly sampled ED patients who were medically stable, not in police/prison custody, and spoke English or Spanish. Questionnaires were linked to administrative data using deterministic and probabilistic matching. PRINCIPAL FINDINGS/RESULTS:Of 1993 ED patients who were not homeless at baseline, 5.6% entered a shelter in the next 6 months. A screening tool consisting of two measures of past shelter use and one of past criminal justice involvement had 83.0% sensitivity and 20.4% positive predictive value for future shelter entry. CONCLUSIONS:Our study demonstrates the potential of using cross-sector data to improve hospital initiatives to address patients' social needs.

As people age with HIV, their needs increase beyond solely managing HIV care. Ageing people with HIV, defined as people with HIV who are 50 years or older, face increased risk of both age-regulated comorbidities and ageing-related issues. Globally, health-care systems have struggled to meet these changing needs of ageing people with HIV. We argue that health systems need to rethink care strategies to meet the growing needs of this population and propose models of care that meet these needs using the WHO health system building blocks. We focus on care provision for ageing people with HIV in the three different funding mechanisms: President's Emergency Plan for AIDS Relief and Global Fund funded nations, the USA, and single-payer government health-care systems. Although our categorisation is necessarily incomplete, our efforts provide a valuable contribution to the debate on health systems strengthening as the need for integrated, people-centred, health services increase.

BACKGROUND:Prostate cancer (PCA) germline testing (GT) is now standard-of-care for men with advanced PCA. Thousands of men may consider GT due to clinical and family history (FH) features. Identifying and consenting men for GT can be complex. Here we identified barriers and facilitators of GT across a spectrum of providers which informed the development of Helix - an educational and clinical/FH collection tool to facilitate GT in practice. MATERIALS AND METHODS/METHODS:A 12-question survey assessing knowledge of genetics PCA risk and FH was administered December 2017 to March 2018 in the Philadelphia area and at the Mid-Atlantic AUA meeting (March 2018). Responses were analyzed using descriptive statistics. Semi-structured interviews were conducted with medical oncologists, radiation oncologists, and urologists across practice settings from March-October 2020 as part of a larger study based on the Tailored Implementation in Chronic Diseases framework. Helix was then developed followed by user testing. RESULTS:Fifty-six providers (50% urologists) responded to the survey. Multiple FH and genetic knowledge gaps were identified: only 66% collected maternal FH and 43% correctly identified BRCA2 and association to aggressive PCA. Genetic counseling gaps included low rates of discussing genetic discrimination laws (45%). Provider interviews (n = 14) identified barriers to FH intake including access to details and time needed. In user testing (n = 10), providers found Helix helpful for FH collection. All providers found Helix easy to use, suggesting expanded clinical use. CONCLUSION/CONCLUSIONS:Helix addressed multiple GT knowledge and practice gaps across a spectrum of providers. This tool will become publicly available soon to facilitate PCA GT in clinical practice.