Faculty Bibliography

Background: Mobile health cardiac rehabilitation (mHealth-CR) may improve outcomes among older adults with ischemic heart disease, but variable engagement is not yet understood. We therefore analyzed preliminary data from the RESILIENT trial, an ongoing randomized trial of mHealth-CR vs. usual care in patients age >= 65.
Method(s): Data from the first 50 intervention participants were analyzed. Weekly engagement was scored from 0-11 based on exercise completion, therapist communication, video viewing, and BP self-measurement. Participants were classified as high or low engagement based on median engagement scores. Groups were compared by age, sex, social support (living alone), depression (PHQ-8), and Charlson Comorbidity Index (CCI).
Result(s): There was widely varying engagement with mHealth-CR that ranged from nearly zero to nearly perfect engagement (Figure). There were no significant differences between high and low engagement groups based on mean age (72.6 vs. 72.8, P=0.8), sex (76% male vs. 80%, P=0.7), living alone (28% vs. 44%, P=0.2), depression (mean 3.9 vs. 4.6, P=0.5), or comorbidity burden (mean 4.4 vs. 4.8, P=0.3), although the sample size was small.
Conclusion(s): Our early findings show wide variation in mHealth-CR engagement among older adults

Importance/UNASSIGNED:Diabetes causes substantial morbidity and mortality among adults in the US, yet its incidence varies across the country, suggesting that neighborhood factors are associated with geographical disparities in diabetes. Objective/UNASSIGNED:To examine the association between neighborhood food environment and risk of incident type 2 diabetes across different community types (high-density urban, low-density urban, suburban, and rural). Design, Setting, and Participants/UNASSIGNED:This is a national cohort study of 4 100 650 US veterans without type 2 diabetes. Participants entered the cohort between 2008 and 2016 and were followed up through 2018. The median (IQR) duration of follow-up was 5.5 (2.6-9.8) person-years. Data were obtained from Veterans Affairs electronic health records. Incident type 2 diabetes was defined as 2 encounters with type 2 diabetes International Classification of Diseases, Ninth Revision or Tenth Revision codes, a prescription for diabetes medication other than metformin or acarbose alone, or 1 encounter with type 2 diabetes International Classification of Diseases Ninth Revision or Tenth Revision codes and 2 instances of elevated hemoglobin A1c (≥6.5%). Data analysis was performed from October 2020 to March 2021. Exposures/UNASSIGNED:Five-year mean counts of fast-food restaurants and supermarkets relative to other food outlets at baseline were used to generate neighborhood food environment measures. The association between food environment and time to incident diabetes was examined using piecewise exponential models with 2-year interval of person-time and county-level random effects stratifying by community types. Results/UNASSIGNED:The mean (SD) age of cohort participants was 59.4 (17.2) years. Most of the participants were non-Hispanic White (2 783 756 participants [76.3%]) and male (3 779 555 participants [92.2%]). The relative density of fast-food restaurants was positively associated with a modestly increased risk of type 2 diabetes in all community types. The adjusted hazard ratio (aHR) was 1.01 (95% CI, 1.00-1.02) in high-density urban communities, 1.01 (95% CI, 1.01-1.01) in low-density urban communities, 1.02 (95% CI, 1.01-1.03) in suburban communities, and 1.01 (95% CI, 1.01-1.02) in rural communities. The relative density of supermarkets was associated with lower type 2 diabetes risk only in suburban (aHR, 0.97; 95% CI, 0.96-0.99) and rural (aHR, 0.99; 95% CI, 0.98-0.99) communities. Conclusions and Relevance/UNASSIGNED:These findings suggest that neighborhood food environment measures are associated with type 2 diabetes among US veterans in multiple community types and that food environments are potential avenues for action to address the burden of diabetes. Tailored interventions targeting the availability of supermarkets may be associated with reduced diabetes risk, particularly in suburban and rural communities, whereas restrictions on fast-food restaurants may help in all community types.

Machine learning algorithms are increasingly used in the clinical literature, claiming advantages over logistic regression. However, they are generally designed to maximize the area under the receiver operating characteristic curve. While area under the receiver operating characteristic curve and other measures of accuracy are commonly reported for evaluating binary prediction problems, these metrics can be misleading. We aim to give clinical and machine learning researchers a realistic medical example of the dangers of relying on a single measure of discriminatory performance to evaluate binary prediction questions. Prediction of medical complications after surgery is a frequent but challenging task because many post-surgery outcomes are rare. We predicted post-surgery mortality among patients in a clinical registry who received at least one aortic valve replacement. Estimation incorporated multiple evaluation metrics and algorithms typically regarded as performing well with rare outcomes, as well as an ensemble and a new extension of the lasso for multiple unordered treatments. Results demonstrated high accuracy for all algorithms with moderate measures of cross-validated area under the receiver operating characteristic curve. False positive rates were

Background/Purpose: Patients with immune mediated inflammatory disorders (IMIDs) have an inherently heightened susceptibility to infection and may be considered high risk for developing COVID-19. While data regarding the COVID-19 vaccine's immunogenicity in an immunocompetent adult population is rapidly emerging, the ability of IMID patients to adequately respond to these vaccines is not known. Here, we investigate the humoral and cellular immune response to mRNA COVID-19 vaccines in patients with IMIDs on immunomodulatory treatment Methods: Patients with immune mediated inflammatory disorders (IMIDs) have an inherently heightened susceptibility to infection and may be considered high risk for developing COVID-19. While data regarding the COVID-19 vaccine's immunogenicity in an immunocompetent adult population is rapidly emerging, the ability of IMID patients to adequately respond to these vaccines is not known. Here, we investigate the humoral and cellular immune response to mRNA COVID-19 vaccines in patients with IMIDs on immunomodulatory treatment.
Result(s): The NY cohort baseline characteristics are found in Table 1. The Erlangen cohort consisted of 182 healthy subjects, 11 subjects with IMID receiving TNFi monotherapy, and 20 subjects with IMID on MTX monotherapy. In both cohorts, healthy individuals and those with IMID not on MTX were similar in age, while those IMID patients receiving MTX were generally older. In the NY cohort, of the healthy participants, 96.3% demonstrated adequate humoral immune response. Patients with IMID not on MTX achieved a similar rate of high antibody response rate (91.8%), while those on MTX had a lower rate of adequate humoral response (75.0%) (Figure 1A). This remains true even after the exclusion of patients who had evidence of prior COVID-19 infection (P= 0.014). Of note, 3 out of the 4 IMID patients receiving rituximab did not produce an adequate response. Similarly, in the Erlangen validation cohort, 98.3% of healthy controls, 90.9% of patients with IMID receiving TNFi monotherapy, and 50.0% receiving MTX monotherapy achieved adequate immunogenicity (Figure 1B). These differences remain significant when combining the cohorts, using a stricter definition of adequate response, and in a subgroup analysis by age. Cellular response was also analyzed in a subgroup of the NY cohort before and after second vaccination. Activated CD8+ T cells (CD8+ T cells expressing Ki67 and CD38) and the granzyme B-producing subset of these activated CD8+ T cells, were induced in immunocompetent adults and those with IMID not on MTX, but not induced in patients receiving MTX (Figure 2).
Conclusion(s): In two independent cohorts of IMID patients, MTX, a widely used immunomodulator for the treatment of several IMIDs, adversely affected humoral and cellular immune response to COVID-19 mRNA vaccines. Although precise cut offs for immunogenicity that correlate with vaccine efficacy are yet to be established, our findings suggest that different strategies may need to be explored in patients with IMID taking MTX to increase the chances of immunization efficacy against SARS-CoV-2, as has been demonstrated for other viral vaccines

Increasing evidence supports a link between maternal prenatal cannabis use and altered neural and physiological development of the child. However, whether cannabis use relates to altered human brain development prior to birth, and specifically, whether maternal prenatal cannabis use relates to connectivity of fetal functional brain systems, remains an open question. The major objective of this study was to identify whether maternal prenatal cannabis exposure (PCE) is associated with variation in human brain hippocampal functional connectivity prior to birth. Prenatal drug toxicology and fetal fMRI data were available in a sample of 115 fetuses [43 % female; mean age 32.2 weeks (SD = 4.3)]. Voxelwise hippocampal connectivity analysis in a subset of age and sex-matched fetuses revealed that PCE was associated with alterations in fetal dorsolateral, medial and superior frontal, insula, anterior temporal, and posterior cingulate connectivity. Classification of group differences by age 5 outcomes suggest that compared to the non-PCE group, the PCE group is more likely to have increased connectivity to regions associated with less favorable outcomes and to have decreased connectivity to regions associated with more favorable outcomes. This is preliminary evidence that altered fetal neural connectome may contribute to neurobehavioral vulnerability observed in children exposed to cannabis in utero.

Evaluation of alopecia often includes laboratory testing for ferritin, thyroid stimulating hormone, vitamin D, and zinc as previous studies have found associations between non-scarring alopecia and vitamin deficiencies. These studies are limited by small sample sizes, and subsequent analyses showed conflicting results. This study aims to explore laboratory abnormalities in non-scarring alopecia and examine whether supplementation is associated with increased hair growth. A total of 131 patients completed at least two visits by a hair specialist at NYU’s Faculty Group Practice. They had quantitative hair measurements taken at each visit and laboratory tests performed at the first visit. There were 20 (15.3%) patients with abnormal lab results. The most common vitamin deficiency was ferritin (6.5%). Forty-two (32%) patients received supplementations that specifically addressed their vitamin or hormone deficiency. Multivariate regression analysis showed that supplementation did not significantly impact hair density or diameter (P=0.73; P=0.96, respectively). Baseline hair density and diameter were positively associated with change in hair density and diameter, respectively (standardized coefficient [β] 0.57, P<0.01; β 0.61, P<0.01). The number of prescribed oral medications was negatively associated with change in hair diameter (β -6.60, P=0.04). Limitations of this study include the single-center, retrospective design and the short followup interval. However, our findings suggest that vitamin supplementation may not lead to improved outcomes in non-scarring alopecia, thus limiting the utility of laboratory testing. Additional large-scale prospective studies are needed to improve our management of alopecia. J Drugs Dermatol. 2021;20(7):807-809. doi:10.36849/JDD.5886.