Faculty Bibliography

BACKGROUND:Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal malignancies with few known risk factors and biomarkers. Several blood protein biomarkers have been linked to PDAC in previous studies, but these studies have assessed only a limited number of biomarkers usually in small samples. In this study, we evaluated associations of circulating protein levels and PDAC risk using genetic instruments. METHODS:To identify novel circulating protein biomarkers of PDAC, we studied 8,280 cases and 6,728 controls of European descent from the Pancreatic Cancer Cohort Consortium and the Pancreatic Cancer Case-Control Consortium, using genetic instruments of protein quantitative trait loci (pQTL). RESULTS:We observed associations between predicted concentrations of 38 proteins and PDAC risk at a false discovery rate of < 0.05, including 23 of those proteins that showed an association even after Bonferroni correction. These include the protein encoded by ABO, which has been implicated as a potential target gene of PDAC risk variant. Eight of the identified proteins (LMA2L, TM11D, IP-10, ADH1B, STOM, TENC1, DOCK9, and CRBB2) were associated with PDAC risk after adjusting for previously reported PDAC risk variants (odds ratio ranged from 0.79 to 1.52). Pathway enrichment analysis showed that the encoding genes for implicated proteins were significantly enriched in cancer-related pathways, such as STAT3 and IL-15 production. CONCLUSIONS:We identified 38 candidates of protein biomarkers for PDAC risk. IMPACT/CONCLUSIONS:This study identifies novel protein biomarker candidates for PDAC, which if validated by additional studies, may contribute to the etiological understanding of PDAC development.

BACKGROUND:Prenatal exposures to phthalates and bisphenols are associated with impaired brain development in animals. However, epidemiological studies investigating the association between prenatal phthalate or bisphenol exposure and cognition have produced mixed findings and mostly had modest sample sizes and measured the exposure during the third trimester. OBJECTIVE:We examined the association between pregnancy maternal urinary biomarkers of phthalate or bisphenol exposure and nonverbal intelligence quotient (IQ) in children 6 years of age. METHOD/METHODS: RESULTS: CONCLUSIONS:We did not observe that maternal biomarkers of bisphenol exposure are associated with nonverbal IQ. We found that phthalate exposure in early pregnancy and DNOP exposure in late pregnancy are associated with lower nonverbal IQ scores in children. Our results might suggest that particularly early pregnancy is a sensitive window of phthalate exposure, but future studies are needed to replicate our findings. https://doi.org/10.1289/EHP6047.

BACKGROUND: Patient Portals(PP) allow access to medical records and interaction with providers; however activation(PPA) and use (PPU) are limited by language barriers, low health/computer literacy, and poor internet access which are prevalent issues in Federally Qualified Health Centers(FQHC). Little is known of the drivers and patterns of PPA in such settings. We aimed to describe the prevalence of PPA and PPU in adult patients of an FQHC; describe PPU activity, and test demographic, condition, and utilization-related correlates of PPA and PPU.
METHOD(S):We conducted a retrospective chart review in an FQHC that launched a PP in September 2016. We extracted demographics, PPA status(active/not) at data pull, PPU activities, presence of a chronic condition on the problem list, # emergency department, inpatient, subspecialty visits over past year (utilization summed, dichotomized >1 vs. 0-1 visit). Missing values for homelessness were coded to majority category( 0). Analyses included descriptive statistics, bivariate analyses, then logistic regression to test odds of PPA and PPU by. demographics, chronic conditions, and utilization. We report [adjusted odds ratios(confidence interval)].
RESULT(S): Data were analyzed for 62,610 adults [mean age 45(SD 17), 21% Black, 47% Hispanic, 46% Medicaid, 25% Selfpay, speaking English( 60%), Spanish (31%), Chinese(6%), Other(3%), with: hypertension( 19%), diabetes(11%), depression(8%), asthma(6%), CVD(5%); 21% had utilization>1. Overall 23,104(37%) activated the PP. PPU included viewing test results(69%), medications(62% ), immunizations( 51%), billing (38%), asking advice (29%), and scheduling appointments( 16%). PPA and PPU varied by demographics, chronic condition, and utilization, but were consistently higher for females, those who were not Medicaid recipients or Self-pay, English speakers and those with asthma, hypertension, and depression.
CONCLUSION(S): PPA was lower for non-whites and poorer patients, but higher for patients speaking the predominant languages of this FQHC, suggesting that language concordance helps engage patients. Patients with chronic conditions and more healthcare utilization had greater odds of PPA and PPU. On the other hand, Spanish-speakers were less likely to actively use the portal for functions such as scheduling appointments, suggesting that improvements in language capabilities of the platform are needed

OBJECTIVE:To determine the representation of Black/AA women surgeons in academic medicine among U.S. medical school faculty and to assess the number of NIH grants awarded to Black/AA women surgeon-scientists over the past 2 decades. SUMMARY OF BACKGROUND DATA/BACKGROUND:Despite increasing ethnic/racial and sex diversity in U.S. medical schools and residencies, Black/AA women have historically been underrepresented in academic surgery. METHODS:A retrospective review of the Association of American Medical Colleges 2017 Faculty Roster was performed and the number of grants awarded to surgeons from the NIH (1998-2017) was obtained. Data from the Association of American Medical Colleges included the total number of medical school surgery faculty, academic rank, tenure status, and department Chair roles. Descriptive statistics were performed. RESULTS:Of the 15,671 U.S. medical school surgical faculty, 123 (0.79%) were Black/AA women surgeons with only 11 (0.54%) being tenured faculty. When stratified by academic rank, 15 (12%) Black/AA women surgeons were instructors, 73 (59%) were assistant professors, 19 (15%) were associate professors, and 10 (8%) were full professors of surgery. Of the 372 U.S. department Chairs of surgery, none were Black/AA women. Of the 9139 NIH grants awarded to academic surgeons from 1998 and 2017, 31 (0.34%) grants were awarded to fewer than 12 Black/AA women surgeons. CONCLUSION/CONCLUSIONS:A significant disparity in the number of Black/AA women in academic surgery exists with few attaining promotion to the rank of professor with tenure and none ascending to the role of department Chair of surgery. Identifying and removing structural barriers to promotion, NIH grant funding, and academic advancement of Black/AA women as leaders and surgeon-scientists is needed.

BACKGROUND:Headache mobile health (mHealth) applications (apps) have gained popularity in use but there is little research into what people with migraine find important to track. This information is important for helping with adherence and determining meaningful data to patients. We conducted several clinical trials using a headache research app (RELAXaHEAD). The app contains a "notes" feature (a free-text input section) where patients could record notes related to their headache. OBJECTIVE:To identify what patients view as important when tracking migraine/headaches within a headache tracking mHealth app. METHODS:This was a retrospective study where smartphone diary notes inputted by people with migraine were qualitatively analyzed; notes were extracted, a preliminary codebook was developed and used to code each note. Using grounded theory, themes and subthemes emerged. RESULTS:About 288 subjects in the trials used the notes function. There were 5364 total notes with an average of 18.6 ± 39.2 notes/user. The qualitative analysis yielded 759 unique codes and the emergence of 4 major themes. The first theme was "Utility in free-text tracking of headache characteristics, medications, and sleep" which emerged as a space for users to elaborate on data that could have been inputted into other sections of the app. The second theme was "Monitoring coexisting conditions both related to and distinct from headache." The third theme was "Personal records of behavioral therapy adherence," which included a range of concepts from behavioral therapy session frequency/adherence to subjects' thoughts or emotions regarding the behavioral therapy. The fourth theme was "Migraine trigger, prevention, and relief patterns deciphered through consistent data tracking." CONCLUSION/CONCLUSIONS:We found that the majority of patients choose to expand on information beyond what can be inputted into specific icons in a headache app. Moreover, they want to be able to monitor not only headache-related symptoms but symptoms they experience from other conditions. In addition to tracking their pharmacologic treatment, they may choose to track their nonpharmacologic, that is, behavioral therapy use, and they also use a smartphone diary app to assess what triggers versus relieves a migraine. While the RELAXaHEAD app was designed with features to extract data that would be useful to physicians and patients in treating migraine, our study results indicated that users also prefer a range of tracking capabilities that may or may not be useful to physicians but may be important for headache smartphone user engagement.

OBJECTIVES/OBJECTIVE:To compare both the concordance between the 4Kscore® and SelectMDx® for informing decision to perform prostate biopsy (PB) and the performance of these tests for detecting clinically significant prostate cancer (csPCa). Several biomarkers were developed to inform decisions whether to perform a PB based on the probability of detecting csPCa. There is a paucity of studies directly comparing them METHODS: Between 11/2018 and 4/2019, all new referrals with the diagnosis of elevated PSA were advised to undergo 4Kscore® and SelectMDx® in order to guide the selection of candidates for PB. Men were advised to undergo PB if the reported biomarker risk for detecting csPCA was ≥7.5%, or if they presented a PI-RADS ≥1 MRI. Cohen's Kappa was used to assess the concordance between the binary 4Kscore® and SelectMDx® results using externally validated cutoffs of 7.5% and 12%. Receiver operating characteristics curve and area under the curve (AUC) assessed the performance of each biomarker for predicting csPCa. RESULTS:Of 128 consecutive patients referred, 114 (89.1%) underwent 4Kscore® and SelectMDx®, The kappa coefficient between the biomarkers using the 7.5% cutoff was 0.184 (poor concordance) and 0.22 using the 12% cutoff. The two biomarkers yielded discordant guidance whether to proceed with PB in 46% and 38% of cases, respectively. csPCa was found in 22 of the 50 patients who underwent PB (44%). The AUC for 4Kscore® and SelectMDx® was 0.830 (95%CI: 0.710 - 0.949) and 0.672 (95%CI: 0.517 - 0.828) (p=0.036), respectively. CONCLUSION/CONCLUSIONS:The discordance observed between the 4Kscore® and SelectMDx® is disconcerting. The 4Kscore® when combined with MRI was superior to the SelectMDx® for detecting csPCa. Prospective comparative studies must be performed to optimize implementation of biomarkers for selecting candidates for PB.

Many health care providers and systems are developing and implementing processes to screen patients for social determinants of health and to refer patients to appropriate nonclinical and community-based resources. The largest public health care system in the United States, New York City Health + Hospitals, piloted such a program in 2017. A qualitative evaluation yielded insights into the implementation and feasibility of such screening and referral programs in health care systems serving low-income, minority, immigrant, and underserved populations.