Faculty Bibliography

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.

There is a need to discriminate which COVID-19 inpatients are at higher risk for venous thromboembolism (VTE) to inform prophylaxis strategies. The IMPROVE-DD VTE risk assessment model (RAM) has previously demonstrated good discrimination in non-COVID populations. We aimed to externally validate the IMPROVE-DD VTE RAM in medical patients hospitalized with COVID-19. This retrospective cohort study evaluated the IMPROVE-DD VTE RAM in adult patients with COVID-19 admitted to one of thirteen Northwell Health hospitals in the New York metropolitan area between March 1, 2020 and April 27, 2020. VTE was defined as new-onset symptomatic deep venous thrombosis or pulmonary embolism. To assess the predictive value of the RAM, the receiver operating characteristic (ROC) curve was plotted and the area under the curve (AUC) was calculated. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated. Of 9407 patients who met study criteria, 274 patients developed VTE with a prevalence of 2.91%. The VTE rate was 0.41% for IMPROVE-DD score 0-1 (low risk), 1.21% for score 2-3 (moderate risk), and 5.30% for score ≥ 4 (high risk). Approximately 45.7% of patients were classified as high VTE risk, 33.3% moderate risk, and 21.0% low risk. Discrimination of low versus moderate-high VTE risk demonstrated sensitivity 0.971, specificity 0.215, PPV 0.036, and NPV 0.996. ROC AUC was 0.703. In this external validation study, the IMPROVE-DD VTE RAM demonstrated very good discrimination to identify hospitalized COVID-19 patients at low, moderate, and high VTE risk.

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.

PURPOSE/OBJECTIVE:Telehealth's uptake has increased substantially in recent years, with an especially large jump in 2020 due to the emergence of COVID-19. This article provides background on and explores "telepresence" in healthcare literature. Telepresence strongly impacts the patient experience, but it is poorly defined in current research. The aim was to conceptually define telepresence using qualitative methods. DESIGN/METHODS:Dimensional analysis was used to analyze telepresence in clinical literature and create a clearer definition of telepresence as a concept. Multiple databases were searched for articles related to telepresence. Thirteen international articles related to telepresence were selected for analysis. METHODS:Dimensional analysis allowed for multiple viewpoints to be explored within each distinct context and perspective. FINDINGS/RESULTS:Twenty-five dimensions were discovered within the articles, which were synthesized to seven core dimensions of telepresence: connection, technological mediation, experienced realism, trust, being supportive, collaboration, and emotional consequence. CONCLUSIONS:Telepresence is highly impactful on the patient's experience of telehealth care visits. The conceptual map produced by this dimensional analysis provides direction for clinicians to improve their ability to be present with patients during telehealth care. Potential implications include a starting point for future qualitative research, and the use of this dimensional analysis to inform clinical guidelines, improve clinician training, and assist in the development of new care models. CLINICAL RELEVANCE/CONCLUSIONS:A telepresence definition brings clarity to an ill-defined concept. COVID-19 magnifies the need for a better understanding of telepresence, which allows clinicians to improve telehealth encounters.

BACKGROUND:Patients infected with novel COVID-19 virus have a spectrum of illnesses ranging from asymptomatic to death. Data have shown that age, sex, and obesity are strongly correlated with poor outcomes in COVID-19-positive patients. Bariatric surgery is the only treatment that provides significant, sustained weight loss in the severely obese. OBJECTIVES/OBJECTIVE:Examine if prior bariatric surgery correlates with increased risk of hospitalization and outcome severity after COVID-19 infection. SETTING/METHODS:test or Fisher's exact test. Additionally, overall length of stay and duration of time in intensive care unit (ICU) were compared using Wilcoxon rank sum test. Conditional logistic regression analyses were done to determine both unadjusted (UOR) and adjusted odds ratios (AOR). RESULTS:(SD = 6.5, P < .0001). There was also less burden of diabetes in the bariatric group (32%) compared with the control group (48%) (P = .0019). Patients with a history of bariatric surgery were less likely to be admitted through the emergency room (UOR = .39, P = .0001), less likely to require a ventilator during the admission (UOR=.42, P = .028), had a shorter length of stay in both the ICU (P = .033) and overall (UOR = .44, P = .0002), and were less likely to be deceased at discharge compared with the control group (OR = .42, P = .028). CONCLUSION/CONCLUSIONS:A history of bariatric surgery significantly decreases the risk of emergency room admission, mechanical ventilation, prolonged ICU stay, and death in patients with COVID-19. Even when adjusted for BMI and the co-morbidities associated with obesity, patients with a history of bariatric surgery still have a significant decrease in the risk of emergency room admission.

SOURCE CITATION/UNASSIGNED:J Clin Oncol. 2021;39:2574-85. 34236916.

Background As tumor genomes are shaped by their interaction with the immune system, a phenomenon known as immunoediting, it is critical to understand how immunotherapies impact this process. Checkpoint inhibitors directly influence T cells responding to neoantigens, as such, these therapies drastically affect the genomes of surviving tumor clones. Similar to the concept of immune camouflage, observed in infectious diseases, where genomes of pathogens evolve in a way to avoid immune detection, we hypothesized that tumor clones surviving checkpoint inhibition therapy harbor mutations more prone to immune avoidance. Methods We analyzed a cohort of nivolumab-treated melanoma patients (n=41) for which tumor samples were collected from the same site prior (Pre samples) and during (On samples) nivolumab therapy.1 The immunogenic and tolerance potential of mutations from the Pre and On samples were evaluated with the Ancer neoantigen screening platform,2 which includes the EpiMatrix algorithm to identify HLA-I and HLA-II neoepitopes and the JanusMatrix algorithm to evaluate neoepitopes homology with self. Prior work with JanusMatrix showed epitopes highly homologous to self can be inhibitory.3 Matching Pre and On therapy samples were compared to identify mutations deleted (unique to the Pre samples), maintained (found in both the Pre and On samples), and induced while on therapy (unique to the On samples). Results Mutations from the On therapy samples had a lower immunogenic potential than mutations found in the Pre therapy samples (figure 1A, Mann-Whitney test, p=0.0001). After further distinguishing mutations deleted, maintained, and induced while on therapy, we observed that newly induced mutations had a significantly lower immunogenic potential compared to other mutations (Kruskal-Wallis test, p<0.0001). In addition, newly induced mutations were more homologous to self than other mutations (figure 1B, Kruskal-Wallis test, p<0.0001), indicating a greater likelihood for these new mutations to be tolerated by the immune system. In summary, we showed that mutations generated after nivolumab therapy are less immunogenic and more tolerated than mutations found prior to therapy. Abstract 313 Figure 1 Immunogenicity (A) and tolerance (B) potentials of mutations found in matching melanoma tumor samples collected before (Pre) and during (On) nivolumab therapy. Conclusions Our Ancer analysis suggests that nivolumab therapy affects the immunogenicity and tolerance profiles of newly generated mutations in a manner that is consistent with the concepts of immunoediting and immune camouflaging. Mutations induced after therapy appear less immunogenic and more self-like, illustrating a potential mechanism tumors employ to avoid immune surveillance. Furthermore, our approach highlights in silico tools can distinguish effector from tolerance inducing neoepitopes, a critical feature for designing novel neoantigen-based precision immunotherapies