Faculty Bibliography

BACKGROUND:Belatacept may impair humoral immunity, impacting the effectiveness of SARS-CoV-2 mRNA vaccines in transplant recipients. We investigated immunogenicity after SARS-CoV-2 mRNA vaccines in kidney transplant recipients who are and are not taking belatacept. METHODS:Participants were recruited between December 9, 2020, and April 1, 2021. Blood samples were collected after dose 1 and dose 2 (D1, D2) and analyzed using either an anti-SARS-CoV-2 enzyme immunoassay against the S1 domain of the SARS-CoV-2 spike protein or immunoassay against the receptor-binding domain of the SARS-CoV-2 spike protein. Stabilized inverse probability of treatment weights was used to compare immunogenicity, and a weighted logistics regression was used to calculate fold change of positive response. RESULTS:Among the 609 participants studied, 24 (4%) were taking belatacept. After dose 1, 0/24 (0%) belatacept patients had detectable antibodies, compared with 77 of 568 (14%) among the equivalent nonbelatacept population (P = 0.06). After dose 2, 1/19 (5%) belatacept patients had detectable antibodies, compared with 190/381 (50%) among the equivalent nonbelatacept population (P < 0.001). Belatacept use was associated with 16.7-fold lower odds of having a positive post-D2 titer result (P < 0.01). CONCLUSIONS:Additional measures need to be explored to protect kidney transplant recipients taking belatacept. Best safety practices should be continued despite vaccination among this population.

BACKGROUND:With stressors of dialysis prekidney transplantation (KT) and restoration of kidney function post-KT, it is likely that KT recipients experience a decline in functional status while on the waitlist and improvements post-KT. METHODS:We leveraged 224 832 KT recipients from the national registry (SRTR, February 1990-May 2019) with measured Karnofsky Performance Status (KPS, 0%-100%) at listing, KT admission, and post-KT. We quantified the change in KPS from listing to KT using generalized linear models. We described post-KT KPS trajectories using adjusted mixed-effects models and tested whether those trajectories differed by age, sex, race, and diabetes status using a Wald test among all KT recipients. We then quantified risk adverse post-KT outcomes (mortality and all-cause graft loss [ACGL]) by preoperative KPS and time-varying KPS. RESULTS:Mean KPS declined from listing (83.7%) to admission (78.9%) (mean = 4.76%, 95% confidence interval [CI]: -4.82, -4.70). After adjustment, mean KPS improved post-KT (slope = 0.89%/y, 95% CI: 0.87, 0.91); younger, female, non-Black, and diabetic recipients experienced greater post-KT improvements (Pinteractions < 0.001). Lower KPS (per 10% decrease) at admission was associated with greater mortality (adjusted hazard ratio [aHR] = 1.11, 95% CI: 1.10, 1.11) and ACGL (aHR = 1.08, 95% CI: 1.08, 1.09) risk. Lower post-KT KPS (per 10% decrease; time-varying) were more strongly associated with mortality (aHR = 1.93, 95% CI: 1.92, 1.94) and ACGL (aHR = 1.84, 95% CI: 1.83, 1.85). CONCLUSIONS:Functional status declines pre-KT and improves post-KT in the national registry. Despite post-KT improvements, poorer functional status at KT and post-KT are associated with greater mortality and ACGL risk. Because of its dynamic nature, clinicians should repeatedly screen for lower functional status pre-KT to refer vulnerable patients to prehabilitation in hopes of reducing risk of adverse post-KT outcomes.

BACKGROUND:The novel coronavirus 2019 (COVID-19) pandemic has transformed health care. With the need to limit COVID-19 exposures, telemedicine has become an increasingly important format for clinical care. Compared with other fields, neuro-ophthalmology faces unique challenges, given its dependence on physical examination signs that are difficult to elicit outside the office setting. As such, it is imperative to understand both patient and provider experiences to continue to adapt the technology and tailor its application. The purpose of this study is to analyze both neuro-ophthalmology physician and patient satisfaction with virtual health visits during the time of the COVID-19 pandemic. METHODS:Across three institutions (NYU Langone Health, Indiana University Health, and Columbia University Medical Center), telemedicine surveys were administered to 159 patients. Neuro-ophthalmologists completed 157 surveys; each of these were linked to a single patient visit. Patient surveys consisted of 5 questions regarding visit preparation, satisfaction, challenges, and comfort. The physician survey included 4 questions that focused on ability to gather specific clinical information by history and examination. RESULTS:Among 159 patients, 104 (65.4%) reported that they were satisfied with the visit, and 149 (93.7%) indicated that they were comfortable asking questions. Sixty-eight (73.9%) patients found the instructions provided before the visit easy to understand. Potential areas for improvement noted by patients included more detailed preparation instructions and better technology (phone positioning, Internet connection, and software). More than 87% (137/157) of neuro-ophthalmologists surveyed reported having performed an examination that provided enough information for medical decision-making. Some areas of the neuro-ophthalmologic examination were reported to be easy to conduct (range of eye movements, visual acuity, Amsler grids, Ishihara color plates, and pupillary examination). Other components were more difficult (saccades, red desaturation, visual fields, convergence, oscillations, ocular alignment, and smooth pursuit); some were especially challenging (vestibulo-ocular reflex [VOR], VOR suppression, and optokinetic nystagmus). Clinicians noted that virtual health visits were limited by patient preparation, inability to perform certain parts of the examination (funduscopy and pupils), and technological issues. CONCLUSIONS:Among virtual neuro-ophthalmology visits evaluated, most offer patients with appointments that satisfy their needs. Most physicians in this cohort obtained adequate clinical information for decision-making. Even better technology and instructions may help improve aspects of virtual health visits.

Importance:Early evidence shows a decrease in the number of US births during the COVID-19 pandemic, yet few studies have examined individual-level factors associated with pregnancy intention changes, especially among diverse study populations or in areas highly affected by COVID-19 in the US. Objective:To study changes in pregnancy intention following the outbreak of the COVID-19 pandemic and identify factors possibly associated with these changes. Design, Setting, and Participants:A cross-sectional, population-based study was conducted among women who were currently pregnant or had delivered a live infant and responded to a survey emailed to 2603 women (n = 1560). Women who were mothers of young children enrolled in the prospective New York University Children's Health and Environment Study birth cohort were included; women who were not currently pregnant or recently postpartum were excluded. Exposures:Demographic, COVID-19-related, stress-related, and financial/occupational factors were assessed via a survey administered from April 20 to August 31, 2020. Main Outcomes and Measures:Pregnancy intentions before the COVID-19 pandemic and change in pregnancy intentions following the outbreak. Results:Of the 2603 women who were sent the survey, 1560 (59.9%) who were currently pregnant or had delivered a live infant responded, and 1179 women (75.6%) answered the pregnancy intention questions. Mean (SD) age was 32.2 (5.6) years. Following the outbreak, 30 of 61 (49.2%) women who had been actively trying to become pregnant had ceased trying, 71 of 191 (37.2%) women who had been planning to become pregnant were no longer planning, and 42 of 927 (4.5%) women who were neither planning nor trying were newly considering pregnancy. Among those who ceased trying, fewer than half (13 [43.3%]) thought they would resume after the pandemic. Of those pre-COVID-19 planners/triers who stopped considering or attempting pregnancy, a greater proportion had lower educational levels, although the difference was not statistically significant on multivariable analysis (odds ratio [OR], 2.14; 95% CI, 0.92-4.96). The same was true for those with higher stress levels (OR, 1.09; 95% CI, 0.99-1.20) and those with greater financial insecurity (OR, 1.37; 95% CI, 0.97-1.92. Those who stopped considering or attempting pregnancy were more likely to respond to the questionnaire during the peak of the outbreak (OR, 2.04; 95% CI, 1.01-4.11). Of those pre-COVID-19 nonplanners/nontriers who reported newly thinking about becoming pregnant, a smaller proportion responded during the peak, although the finding was not statistically significant on multivariable analysis (OR, 0.52; 95% CI, 0.26-1.03). Likewise, fewer respondents who were financially insecure reported newly considering pregnancy, although the finding was not statistically significant (OR, 0.69; 95% CI, 0.46-1.03). They were significantly less likely to be of Hispanic ethnicity (OR, 0.27; 955 CI, 0.10-0.71) and more likely to have fewer children in the home (OR, 0.62; 95% CI, 0.40-0.98) or self-report a COVID-19 diagnosis (OR, 2.70; 95% CI, 1.31-5.55). Conclusions and Relevance:In this cross-sectional study of 1179 women who were mothers of young children in New York City, increased stress and financial insecurity owing to the COVID-19 pandemic paralleled a reduction in pregnancy intention in the early months of the pandemic, potentially exacerbating long-term decreases in the fertility rate.

Active-duty Army personnel can be exposed to traumatic warzone events and are at increased risk for developing post-traumatic stress disorder (PTSD) compared with the general population. PTSD is associated with high individual and societal costs, but identification of predictive markers to determine deployment readiness and risk mitigation strategies is not well understood. This prospective longitudinal naturalistic cohort study-the Fort Campbell Cohort study-examined the value of using a large multidimensional dataset collected from soldiers prior to deployment to Afghanistan for predicting post-deployment PTSD status. The dataset consisted of polygenic, epigenetic, metabolomic, endocrine, inflammatory and routine clinical lab markers, computerized neurocognitive testing, and symptom self-reports. The analysis was computed on active-duty Army personnel (N = 473) of the 101st Airborne at Fort Campbell, Kentucky. Machine-learning models predicted provisional PTSD diagnosis 90-180 days post deployment (random forest: AUC = 0.78, 95% CI = 0.67-0.89, sensitivity = 0.78, specificity = 0.71; SVM: AUC = 0.88, 95% CI = 0.78-0.98, sensitivity = 0.89, specificity = 0.79) and longitudinal PTSD symptom trajectories identified with latent growth mixture modeling (random forest: AUC = 0.85, 95% CI = 0.75-0.96, sensitivity = 0.88, specificity = 0.69; SVM: AUC = 0.87, 95% CI = 0.79-0.96, sensitivity = 0.80, specificity = 0.85). Among the highest-ranked predictive features were pre-deployment sleep quality, anxiety, depression, sustained attention, and cognitive flexibility. Blood-based biomarkers including metabolites, epigenomic, immune, inflammatory, and liver function markers complemented the most important predictors. The clinical prediction of post-deployment symptom trajectories and provisional PTSD diagnosis based on pre-deployment data achieved high discriminatory power. The predictive models may be used to determine deployment readiness and to determine novel pre-deployment interventions to mitigate the risk for deployment-related PTSD.

Physical activity and social support are associated with better outcomes after surviving acute myocardial infarction (AMI), and greater walkability has been associated with activity and support. We used data from the SILVER-AMI study (November 2014-June 2017), a longitudinal cohort of community-living adults ≥ 75 years hospitalized for AMI to assess associations of neighborhood walkability with health outcomes, and to assess whether physical activity and social support mediate this relationship, if it exists. We included data from 1345 participants who were not bedbound, were discharged home, and for whom we successfully linked walkability scores (from Walk Score®) for their home census block. Our primary outcome was hospital-free survival time (HFST) at six months after discharge; secondary outcomes included physical and mental health at six months, assessed using SF-12. Physical activity and social support were measured at baseline. Covariates included cognition, functioning, comorbidities, participation in rehabilitation or physical therapy, and demographics. We employed survival analysis to examine associations between walkability and HFST, before and after adjustment for covariates; we repeated analyses using linear regression with physical and mental health as outcomes. In adjusted models, walkability was not associated with physical health (ß = 0.010; 95% CI: -0.027, 0.047), mental health (ß = -0.08; 95% CI: -0.175, -0.013), or HFST (ß = 0.008; 95% CI: -0.023, 0.009). Social support was associated with mental health in adjusted models. Neighborhood walkability was not predictive of outcomes among older adults with existing coronary disease, suggesting that among older adults, mobility limitations may supercede neighborhood walkability.

BACKGROUND AND PURPOSE/OBJECTIVE:We reviewed the literature to evaluate cerebrospinal fluid (CSF) results from patients with coronavirus disease 2019 (COVID-19) who had neurological symptoms and had an MRI that showed (1) central nervous system (CNS) hyperintense lesions not attributed to ischemia and/or (2) leptomeningeal enhancement. We sought to determine if these findings were associated with a positive CSF severe acute respiratory syndrome associated coronavirus 2 (SARS-CoV-2) polymerase chain reaction (PCR). METHODS:We performed a systematic review of Medline and Embase from December 1, 2019 to November 18, 2020. CSF results were evaluated based on the presence/absence of (1) ≥ 1 CNS hyperintense lesion and (2) leptomeningeal enhancement. RESULTS:In 117 publications, we identified 193 patients with COVID-19 who had an MRI of the CNS and CSF testing. There were 125 (65%) patients with CNS hyperintense lesions. Patients with CNS hyperintense lesions were significantly more likely to have a positive CSF SARS-CoV-2 PCR (10% [9/87] vs. 0% [0/43], p = 0.029). Of 75 patients who had a contrast MRI, there were 20 (27%) patients who had leptomeningeal enhancement. Patients with leptomeningeal enhancement were significantly more likely to have a positive CSF SARS-CoV-2 PCR (25% [4/16] vs. 5% [2/42], p = 0.024). CONCLUSION/CONCLUSIONS:The presence of CNS hyperintense lesions or leptomeningeal enhancement on neuroimaging from patients with COVID-19 is associated with increased likelihood of a positive CSF SARS-CoV-2 PCR. However, a positive CSF SARS-CoV-2 PCR is uncommon in patients with these neuroimaging findings, suggesting they are often related to other etiologies, such as inflammation, hypoxia, or ischemia.

Background/Purpose: Critically ill patients with COVID-19 infection have a profound hypercoagulable state and can often develop thromboses in many different vascular beds. Given the presence of anti-phospholipid antibodies among COVID-19 patients reported previously, we hypothesized that poor outcomes and thrombosis could also be promoted by autoimmunity. In this retrospective case control analysis, we aimed to evaluate associations between aPL titers, clinical outcomes and mortality in hospitalized patients admitted with COVID-19 infection.
Method(s): We analyzed 138 electronic medical records of patients who were admitted to NYU Langone Hospital -Long Island between the months of March-April 2020 with findings of COVID-19 positivity via PCR and who had aPL titers determined. Patients with elevated titers of beta-2-Glycoprotein IgG, IgM, IgA and/or cardiolipin IgG, IgM, IgA were compared to those who were not elevated. Patients with positive lupus anticoagulant titers only were excluded due to prevalent use of anti-coagulation during this time. COVID-19 positive patients with aPL titers were assessed for clinical events (including DVT, PE, MI, CVA, extremity ischemia, skin ulcerations, visceral thrombosis and ocular and line occlusions) and mortality. The control group included patients that were negative for aPL antibody titers. Associations between Anti-Phospholipid (aPL) titer positivity and clinical events was assessed by Chi-square analysis using Fisher's exact test.
Result(s): The predominant aPL species that was noted in COVID-19 patients was anti-cardiolipin IgM. Of those patients with elevated antibody titers, cardiolipin IgM, IgG, IgA, and beta2GPI antibodies were prevalent at rates of 98.9%, 26.7%, 19.2%, and 16.5%, respectively. Multiple aPL isotypes were detected in several patients. There was a positive association between aPL positivity and elevations in IL-6, CRP, D-dimer, and LDH (P< 0.05). There was an increased incidence of clinical events in patients with COVID-19 and positive aPL titers (52/83 or 62%) compared to those who were aPL negative (32/55 or 58% ), however this association was not statistically significant. No significant association was detected between positive aPL titers and gender, age, or self-identified ethnicity. An increased incidence of ARDS and a rising serum creatinine was noted in the aPL positive group (P = 0.03 and P= 0.05 respectively). A significant increase in mortality was identified for the aPL positive group (P=0.01).
Conclusion(s): These findings suggest that aPL titers may provide insight into disease prognosis and outcome in hospitalized patients with COVID-19. Despite lack of significant association with discrete thrombotic events, association of aPL positivity with rising serum creatinine and ARDS suggest that aPL may contribute to end organ dysfunction through enhanced microthrombosis, resulting in increased mortality. (Figure Presented)

Studies reporting significant associations between maternal prenatal stress and child outcomes are frequently confounded by correlates of prenatal stress that influence the postnatal rearing environment. The major objective of this study is to identify whether maternal prenatal stress is associated with variation in human brain functional connectivity prior to birth. We utilized fetal fMRI in 118 fetuses [48 female; mean age 32.9 weeks (SD = 3.87)] to evaluate this association and further addressed whether fetal neural differences were related to maternal health behaviors, social support, or birth outcomes. Community detection was used to empirically define networks and enrichment was used to isolate differential within- or between-network connectivity effects. Significance for χ² enrichment was determined by randomly permuting the subject pairing of fetal brain connectivity and maternal stress values 10,000 times. Mixtures modelling was used to test whether fetal neural differences were related to maternal health behaviors, social support, or birth outcomes. Increased maternal prenatal negative affect/stress was associated with alterations in fetal frontoparietal, striatal, and temporoparietal connectivity (β = 0.82, p < 0.001). Follow-up analysis demonstrated that these associations were stronger in women with better health behaviors, more positive interpersonal support, and lower overall stress (β = 0.16, p = 0.02). Additionally, magnitude of stress-related differences in neural connectivity was marginally correlated with younger gestational age at delivery (β = -0.18, p = 0.05). This is the first evidence that negative affect/stress during pregnancy is reflected in functional network differences in the human brain in utero, and also provides information about how positive interpersonal and health behaviors could mitigate prenatal brain programming.