Faculty Bibliography

We propose a randomized controlled trial to evaluate the effectiveness of a community health worker-led decision-coaching program to facilitate shared decision-making for prostate cancer screening decisions by Black men at a primary care federally qualified health center.

The number of people with HIV (PWH) aged 50 years or older continues to steadily increase. The convergence of age- and HIV-related complications in these individuals presents a challenge for both patients and clinicians alike. New findings continue to emerge, as numerous researchers evaluate the combined impact of these two factors on quality of life, physiological systems, and mental health in PWH. Since its first occurrence in 2009, the International Workshop on HIV and Aging has served as a multidisciplinary meeting to share basic biomedical data, clinical trial results, treatment strategies, and epidemiological recommendations, toward better understanding and outcomes among like-minded scientific professionals. In this article, we share a selection of key findings presented in plenary talks at the 11th Annual International Workshop on HIV and Aging, held virtually from September 30, 2020 to October 2, 2020. We will also address the future directions of HIV and aging research, to further assess how the aging process intersects with chronic HIV.

PURPOSE:The objective response rate (ORR) for single-agent anti-programmed death receptor 1 (anti-PD-1) therapy is modest in patients with metastatic or recurrent head and neck squamous cell carcinoma (HNSCC). We aimed to test whether radiotherapy may act synergistically with anti-PD-1 therapy to improve response through the abscopal effect. PATIENTS AND METHODS:We conducted a single-center, randomized, phase II trial of nivolumab (anti-PD-1 therapy) versus nivolumab plus stereotactic body radiotherapy (SBRT) in patients with metastatic HNSCC. Patients had at least two metastatic lesions: one that could be safely irradiated and one measurable by RECIST version 1.1. Patients were randomly assigned (1:1), stratified by human papillomavirus status, to nivolumab (3 mg/kg intravenously every 2 weeks) or nivolumab (same dose) plus SBRT (9 Gy × 3) to 1 lesion. The primary end point was ORR in nonirradiated lesions, which was assessed by RECIST in patients with at least one available set of on-treatment images; safety was assessed in a per-protocol population. RESULTS:= .70). CONCLUSION:We found no improvement in response and no evidence of an abscopal effect with the addition of SBRT to nivolumab in unselected patients with metastatic HNSCC.

BACKGROUND:Cancer genetic testing to assess an individual's cancer risk and to enable genomics-informed cancer treatment has grown exponentially in the past decade. Because of this continued growth and a shortage of health care workers, there is a need for automated strategies that provide high-quality genetics services to patients to reduce the clinical demand for genetics providers. Conversational agents have shown promise in managing mental health, pain, and other chronic conditions and are increasingly being used in cancer genetic services. However, research on how patients interact with these agents to satisfy their information needs is limited. OBJECTIVE:Our primary aim is to assess user interactions with a conversational agent for pretest genetics education. METHODS:We conducted a feasibility study of user interactions with a conversational agent who delivers pretest genetics education to primary care patients without cancer who are eligible for cancer genetic evaluation. The conversational agent provided scripted content similar to that delivered in a pretest genetic counseling visit for cancer genetic testing. Outside of a core set of information delivered to all patients, users were able to navigate within the chat to request additional content in their areas of interest. An artificial intelligence-based preprogrammed library was also established to allow users to ask open-ended questions to the conversational agent. Transcripts of the interactions were recorded. Here, we describe the information selected, time spent to complete the chat, and use of the open-ended question feature. Descriptive statistics were used for quantitative measures, and thematic analyses were used for qualitative responses. RESULTS:We invited 103 patients to participate, of which 88.3% (91/103) were offered access to the conversational agent, 39% (36/91) started the chat, and 32% (30/91) completed the chat. Most users who completed the chat indicated that they wanted to continue with genetic testing (21/30, 70%), few were unsure (9/30, 30%), and no patient declined to move forward with testing. Those who decided to test spent an average of 10 (SD 2.57) minutes on the chat, selected an average of 1.87 (SD 1.2) additional pieces of information, and generally did not ask open-ended questions. Those who were unsure spent 4 more minutes on average (mean 14.1, SD 7.41; P=.03) on the chat, selected an average of 3.67 (SD 2.9) additional pieces of information, and asked at least one open-ended question. CONCLUSIONS:The pretest chat provided enough information for most patients to decide on cancer genetic testing, as indicated by the small number of open-ended questions. A subset of participants were still unsure about receiving genetic testing and may require additional education or interpersonal support before making a testing decision. Conversational agents have the potential to become a scalable alternative for pretest genetics education, reducing the clinical demand on genetics providers.

PURPOSE:Residency programs face overwhelming numbers of residency applications, limiting holistic review. Artificial intelligence techniques have been proposed to address this challenge but have not been created. Here, a multidisciplinary team sought to develop and validate a machine learning (ML)-based decision support tool (DST) for residency applicant screening and review. METHOD:Categorical applicant data from the 2018, 2019, and 2020 residency application cycles (n = 8,243 applicants) at one large internal medicine residency program were downloaded from the Electronic Residency Application Service and linked to the outcome measure: interview invitation by human reviewers (n = 1,235 invites). An ML model using gradient boosting was designed using training data (80% of applicants) with over 60 applicant features (e.g., demographics, experiences, academic metrics). Model performance was validated on held-out data (20% of applicants). Sensitivity analysis was conducted without United States Medical Licensing Examination (USMLE) scores. An interactive DST incorporating the ML model was designed and deployed that provided applicant- and cohort-level visualizations. RESULTS:The ML model areas under the receiver operating characteristic and precision recall curves were 0.95 and 0.76, respectively; these changed to 0.94 and 0.72, respectively, with removal of USMLE scores. Applicants' medical school information was an important driver of predictions-which had face validity based on the local selection process-but numerous predictors contributed. Program directors used the DST in the 2021 application cycle to select 20 applicants for interview that had been initially screened out during human review. CONCLUSIONS:The authors developed and validated an ML algorithm for predicting residency interview offers from numerous application elements with high performance-even when USMLE scores were removed. Model deployment in a DST highlighted its potential for screening candidates and helped quantify and mitigate biases existing in the selection process. Further work will incorporate unstructured textual data through natural language processing methods.

Preventing HIV transmission is a crucial step in ending the HIV epidemic. Safe and effective pre-exposure prophylaxis (PrEP) has been available in the United States since 2012. We set out to determine if persons at greatest risk for HIV acquisition were receiving HIV PrEP. HIV-negative individuals from the Observational Pharmaco-Epidemiology Research & Analysis (OPERA) cohort who were prescribed daily PrEP were contrasted with newly diagnosed HIV persons without PrEP use between July 16, 2012 and October 31, 2020 to determine if the PrEP prescriptions reached the populations who were seroconverting. Poisson regression was used to estimate incidence rates of seroconversion to HIV among PrEP initiators, as well as new diagnoses of sexually transmitted infections among both the PrEP group and the newly HIV+ group. Out of the 14,598 PrEP users and 3558 persons newly diagnosed with HIV in OPERA, demographics varied widely. Older individuals, those of non-Black race, men, nonintravenous (IV) drug users, and those with commercial insurance were proportionally overrepresented among those prescribed PrEP compared to persons newly diagnosed with HIV during the same time period. Over 82% of new HIV+ individuals received care in the southern United States compared to only 45% of PrEP users. Seroconversion to HIV among PrEP users was generally uncommon, although more frequent among those who identified as Black individuals, especially in the 13-25 years old age range. In conclusion, providers need innovative programs to better identify, educate, and link those at greatest risk of HIV acquisition, especially young people, women, Black individuals, and IV drug users, to PrEP.

Reports conflict on how HIV infection influences the clinical course of COVID-19. The New York City (NYC) public hospital system provides care for over 14,000 people with HIV, was central in responding to the COVID-19 pandemic, and is therefore in a unique position to evaluate the intersection of these concurrent infections. Retrospective chart review of patients presenting to NYC Health and Hospitals (NYC H+H) diagnosed with COVID-19 infection from March 1, 2020, through April 28, 2020, compared people living with HIV (PLWH) and a propensity-matched (PM) control group of patients without HIV to evaluate associations between HIV status and COVID-19 outcomes. Two hundred thirty-four PLWH presented for COVID-19 testing and 110 (47%) were diagnosed with COVID-19. Among 17,413 patients with COVID-19 and without HIV, 1:n nearest neighbor propensity score matching identified 194 patients matched on age, sex, race, and any comorbidity. In the sample with COVID-19 (N = 304), PLWH (9.1%) had lower rates of mortality than controls [19.1%; PM odds ratio (PM-OR): 0.41, 95% confidence interval (CI): 0.19-0.86]. Among hospitalized COVID-19 patients (N = 179), HIV infection was associated with lower rates of mechanical ventilation (PM-OR: 0.31, 95% CI: 0.11-0.84) and mortality (PM-OR: 0.40, 95% CI: 0. 17-0.95). In the extended pandemic period through April 2021, aggregate data by HIV status suggested elevated hospitalization and mortality rates in PLWH versus people without HIV. These results suggest that the direct biological impacts of the HIV virus do not negatively influence COVID-19-related outcomes when controlling for comorbidity and demographic variables.

BACKGROUND:The relationship between body weight and outcomes of endoscopic retrograde cholangiopancreatography (ERCP) is unclear. OBJECTIVES:This study aimed to investigate the impact of obesity and morbid obesity on mortality and ERCP-related complications in patients who underwent ERCP. METHODS:We conducted a US population-based retrospective cohort study using the Nationwide Readmissions Databases (2013-2014). A total of 159,264 eligible patients who underwent ERCP were identified, of which 137,158 (86.12%) were normal weight, 12,522 (7.86%) were obese, and 9584 (6.02%) were morbidly obese. The primary outcome was in-hospital mortality. The secondary outcomes were the length of stay, total cost, and ERCP-related complications. Multivariate analysis and propensity score (PS) matching analysis were performed. The analysis was repeated in a restricted cohort to eliminate confounders. RESULTS:Patients with morbid obesity, as compared to normal-weight patients, were associated with a significantly higher in-hospital mortality (hazard ratio [HR]: 5.54; 95% confidence interval [CI]: 1.23-25.04). Obese patients were not associated with significantly different mortality comparing to normal weight (HR: 1.00; 95% CI: 0.14-7.12). Patients with morbid obesity were also found to have an increased length of hospital stay and total cost. The rate of ERCP-related complications was comparable among the three groups except for a higher cholecystitis rate after ERCP in obese patients. CONCLUSIONS:Morbid obesity but not obesity was associated with increased mortality, length of stay, and total cost in patients undergoing ERCP.