Faculty Bibliography

OBJECTIVE:To characterize the hospitalization and death rates among patients with inflammatory arthritis affected by COVID-19 and to analyze the associations between comorbidities and immunomodulatory medications and infection outcomes. METHODS:Clinical, demographic, maintenance treatment, and disease course data and outcomes of individuals with inflammatory arthritis (IA; rheumatoid arthritis and spondylarthritis) with symptomatic COVID-19 infection were prospectively assessed via web-based questionnaire followed by individual phone calls and electronic medical record review. Baseline characteristics and medication use were summarized for hospitalized and ambulatory patients, and outcomes were compared for each medication class using multivariable logistic regression. RESULTS:A total of 103 patients with IA were included in the study (n=80 confirmed and n=23 highly suspicious for COVID-19). Twenty-six percent of participants required hospitalization, and 4% died. Patients who warranted hospitalization were significantly more likely to be older (P<0.001) and have comorbid hypertension (P=0.001) and chronic obstructive pulmonary disease (P=0.022). IA patients taking oral glucocorticoids had a higher likelihood of being admitted for COVID-19 (P<0.001) while those on maintenance anti-cytokine biologic therapies did not. CONCLUSION/CONCLUSIONS:In patients with underlying IA, COVID-19 outcomes were worse in those receiving glucocorticoids but not in patients on maintenance anti-cytokine therapy. Further work is needed to understand whether immunomodulatory therapies affect COVID-19 incidence.

Background/Purpose: Patients with systemic lupus erythematosus (SLE) represent a unique population in considering risk for coronavirus disease 2019 (COVID-19) with biologic, genetic, demographic, clinical and treatment issues all at play. By the nature of their chronic inflammatory autoimmune condition and regular use of immunosuppressive medications, these individuals would traditionally be considered at high risk of contracting the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and having a worse prognosis. Accordingly, we aimed to characterize patients with SLE affected by COVID-19 in New York City (NYC) and analyze associations of comorbidities and medications on outcomes.
Method(s): Patients with SLE and COVID-19 (confirmed by RT-PCR testing), were identified through a longitudinal survey of an established NYU lupus cohort, query of New York University Langone Health and Bellevue Hospitals systems and referrals from rheumatologists at those institutions. All patients were age 18 or older and met SLE classification criteria or carried a rheumatologist's diagnosis of SLE. Only English-, Spanish- or Mandarin-speaking patients were included in the study. Data were prospectively collected via a web-based questionnaire and review of electronic medical records. Baseline characteristics and medications were compared between the hospitalized and ambulatory patients with COVID-19. A logistic regression analysis was performed to identify independent predictors of hospital admission.
Result(s): A total of 41 SLE patients were confirmed COVID-19 positive by RT-PCR. The patients were predominantly female and encompassed the major racial/ethnic demographics seen in NYC. The most common symptoms of COVID-19+ patients were cough (78.4%), fever (64.9%), and shortness of breath (64.9%). Of those SLE patients with COVID-19, 24 (59%) were hospitalized, 4 required ICU level of care, and 4 died, all of hypoxic respiratory failure, Table 1. Hospitalized patients tended to be older, non-white, Hispanic, and have higher BMI, antiphospholipid syndrome, a history of lupus nephritis and at least one medical comorbidity, Table 2. There was no difference between the groups in use of hydroxychloroquine, systemic steroids or immunosuppressants. Logistic regression analysis identified the following independent predictors of being hospitalized with COVID-19: race (OR = 7.78 for non-white vs. white; 95% CI: 1.13 to 53.58; p=0.037), the presence of at least one comorbidity (OR=4.66; 95% CI: 1.02 to 21.20; p=0.047), and BMI (OR = 1.08 per increase in kg/m2; 95% CI: 0.99 to 1.18; p=0.096).
Conclusion(s): Patients with SLE and COVID-19 have a high rate of hospitalization but similar mortality rate to the general population in NYC. Risk factors such as non-white race, higher BMI, and the presence of one or more comorbidities were identified as independent predictors of hospitalization in SLE patients who develop COVID-19. The use of hydroxychloroquine and immunosuppressants did not appear to influence the outcomes of patients with SLE in the setting of COVID-19. Further studies are needed to understand additional risk factors for poor COVID-19 outcomes in patients with SLE

Background/Purpose: Disparities have been reported during the coronavirus disease (COVID-19) outbreak. Systemic lupus erythematosus (SLE) patients represent a unique group that is affected by clinical, treatment, demographic, and socioeconomic (SES) risk factors for severe COVID-19 disease. The Neighborhood Deprivation Index has been associated with non-communicable disease as well as communicable disease outcomes. We conducted this study to identify neighborhood SES factors influencing SLE COVID-19 outcomes.
Method(s): Patients with SLE and COVID-19 (confirmed by RT-PCR testing), were identified through a longitudinal survey of an established NYU lupus cohort, query of NYU Langone Health and Bellevue Hospitals systems and referrals from rheumatologists at those institutions. All patients were age 18 or older and met SLE classification criteria or carried a clinical diagnosis of SLE. Baseline characteristics along with zip code neighborhood data including COVID-19 case rates and neighborhood characteristics were obtained using the Hopkins COVID database and the American Community Surveys (ACS 2014-2018) respectively. A principal component analysis was performed to identify contributory neighborhood characteristics. Then a logistic regression analysis identified predictors of testing positive for COVID-19 and COVID-19 hospitalization.
Result(s): A total of 59 SLE patients (41+ and 18-) were tested for COVID-19 by RT-PCR. The patients were predominantly female, aged 46+/-16, and racially/ethnically diverse. Roughly 140 neighborhood data points were recorded and categorized as follows: population density, race and ethnicity, household type, household size, education level, employment type and status, income and poverty, transportation method, and insurance status. COVID-19 positive patients tended to live in neighborhoods with more single parent households, households with >4 residents, higher unemployment rate, higher high school dropout rate, more public transit use, and more employment in retail, construction, and personal care services. These variables were directly proportional to principal component 1 (PC1) and accounted for 88% of the variance in neighborhood characteristics. A logistic regression model identified that PC1 (OR= 1.3; 95% CI: 1.0-1.8) and taking immune suppressants (IS) (taking vs not taking OR= 2.1; 95% CI: 1.5 to 23.3) independently correlated with having a positive COVID-19 test when controlling for hydroxychloroquine (HCQ), glucocorticoids (GC), and previous lupus nephritis (LN). Only PC1 independently correlated with COVID-19 hospitalization (OR= 1.4; 95% CI: 1.1-1.9) upon controlling for taking IS, HCQ, GCs, and LN. PC1 associated with African American (AA) or Hispanic patient race/ethnicity (OR= 1.6, 95% CI: 1.2-2.2).
Conclusion(s): In addition to SLE disease, neighborhood characteristics and SES are important risk factors both for contracting COVID-19 and developing severe disease. Neighborhood deprivation may mediate the reported relationship between AA and Hispanic race/ethnicity and COVID-19. Given that a plurality of SLE patients are of AA and/or Hispanic backgrounds, care teams must formulate strategies to address socioeconomic stress in our patients

The Psoriasis and Psoriatic Arthritis Clinics Multicenter Advancement Network (PPACMAN) was established to optimize the clinical care of patients with psoriatic disease through multidisciplinary collaboration, education, and innovative research. This article is a report of the 2018 PPACMAN Annual Meeting held in New York City, on December 8, 2018. At this meeting, attendees discussed the benefits and challenges of combined dermatology/rheumatology clinics and PPACMAN ongoing project updates. In addition, collaborators participated in breakout sessions and plenary voting dedicated to achieving consensus on terminology for preclinical psoriatic arthritis studies, one of PPACMAN's main areas of interest. The data obtained from this voting exercise were used to draft a formal Delphi survey that is currently underway.
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Background/Purpose : Psoriatic arthritis (PsA) is a heterogenous inflammatory disease affecting skin, joints, and other domains. While psychiatric diseases (i.e., depression and anxiety) are known comorbidities, little is known about their impact on disease severity and patient reported outcomes (PROs). The objective of this study was to characterize the prevalence of psychiatric comorbidities in an academic combined psoriasis-psoriatic arthritis center and determine their impact on PsA clinical and patient derived outcomes. Methods : Consecutive adult patients meeting CASPAR criteria for PsA (n=436) were prospectively recruited at the NYU Psoriatic Arthritis Center. All data was collected from clinical visits utilizing a standardized EPIC template. Depression was defined by established diagnosis and/or use of anti-depressant medications. Objective measures of disease severity included swollen and tender joint counts (SJC/TJC) and PROs including RAPID3 scores. Data was analyzed using statistical software R. Results : Our cohort was comprised of 436 patients: 54% male, mean age of 47 years, and mostly Caucasians (74.1%). Within our population, 19.5% had depression, 15.6% had anxiety, and 4.8% had ADHD (Table 1). Of those with depression, 71% were on anti-depressive medication. At the initial visit, patients with PsA and depression were more likely to be on medication(s) for PsA (80% vs 65%, p=.01) and had a trend towards higher rates of biologic use (47.5% vs 40.4%, p=.126). Those with depression had a similar TJC to their non-depressed counterparts, but had a trend towards fewer swollen joints and concomitant higher RAPID3 scores (Table 2). When analyzing repeated outcome measures over subsequent visits, individuals with depression were similarly more likely to have a higher TJC, a lower SJC, and a higher RAPID3 score (although only RAPID3 was found to be statistically significant, p=.004). Importantly, these findings persisted when analyzing participants that were matched with propensity scores to adjust for age, sex, comorbidities, and medication use. In addition to joint activity, psoriasis activity measured by body surface area (BSA) was lower in those who were depressed (1.4% vs 3.03%, p=.001) and these differences were maintained over subsequent visits. Conclusion : Our results expand on prior reports of significantly elevated rates of depression in PsA. Notably, individuals with depression were more likely to be on medication(s) for their PsA, had fewer swollen joints, and a lower BSA but, paradoxically reported higher RAPID3 scores. This discrepancy is likely a manifestation of how depression could affect the way patients experience their PsA despite apparent improvement in skin and joint symptoms. Depression should, therefore, be considered a critical comorbidity when addressing PsA care in routine visits. Further work is needed to understand whether modulation of psychiatric comorbidities can lead to improved PsA outcomes

Background/Purpose : About 30% of patients with skin psoriasis (PsO) develop psoriatic arthritis (PsA). The reasons for why only some progress to synovio-enthesial disease from skin involvement remains unknown. Genetic, environmental and clinical-demographic factors have been implicated, but are yet to be characterized in specialized, combined care centers. We aim to describe clinical phenotypes differentiating patients with PsO from those with PsA at a large, urban tertiary care PsO-PsA clinic. Methods : Consecutive adult patients meeting CASPAR criteria for PsA (n= 448) or with dermatologist diagnosed skin psoriasis only (n=161) were prospectively recruited at the NYU Psoriatic Arthritis Center and the NYU Psoriasis and Psoriatic Arthritis Clinic. All data was collected utilizing clinical visit notes and additional on-site questionnaires. Type of psoriasis and body surface area (BSA) was determined by dermatologists or rheumatologists specializing in psoriatic disease. Data was analyzed using statistical software SPSS using chi squared test with Yates Continuity Correction for dichotomous/categorical variables and t-test for continuous variables. Results : Patients with PsO were more likely to be older (52.7 vs. 48.9, p=.032) and have hypertension, obesity, diabetes, and history of myocardial infarction (Figure 1). Patients with PsO had a statistically higher BSA than those with PsA (5.8% vs 3.1%, p=.003). While the type of psoriasis was similar, the site of psoriasis involvement (specifically the scalp and nail) differentiated the populations (Table 1). In PsA compared to PsO, the odds ratio of scalp involvement was 2.96 (95% Confidence Interval [CI] 2.02, 4.34) and that of nail involvement was 14.66 (95% CI 8.21, 26.16). Inverse psoriasis was not different between groups. Additionally, those with PsA were much more likely to have a first degree relative (FDR) with psoriasis compared to those with cutaneous disease alone (31.9% vs. 12.0%, p=.007) (Figure 1). Conclusion : We report for the first time the comorbidities and psoriasis features of PsA and PsO populations in a large, combined center. We found that scalp involvement and any nail involvement was more prevalent in the PsA as compared to PsO. Only one previous study has identified scalp psoriasis[1] as a possible risk factor for progression, while previous studies looking at nail psoriasis reported much lower odds ratios[1,2]. Patients with PsA also demonstrated a higher number of FDRs with skin psoriasis, reinforcing the notion of strong heritability in PsA. The identification of risk factors for progression is of critical importance to study natural history of psoriatic disease and to inform the adequate design of prevention trials in psoriasis patients who have enriched features associated with future transition to synovio-enthesial disease

PURPOSE OF REVIEW/OBJECTIVE:Despite a robust therapeutic landscape, significant gaps exist in the quality of care of psoriatic disease. Thus, an improved understanding of the challenges in providing quality care and the implementation of effective strategies to overcome them is needed. In this review, we summarize the burden of psoriatic disease, discuss the challenges in the care of psoriatic patients, and outline how combined dermatology-rheumatology clinics bridge many of these gaps. RECENT FINDINGS/RESULTS:Multiple challenges are faced in providing high-quality care to patients with psoriasis and psoriatic arthritis from the pre-diagnosis phase of disease to the follow-up period. Challenges are mainly driven by lack of education of patients and healthcare providers, inefficient communication between specialists, lack of a holistic approach to patients, and limitations of available therapies. The Psoriasis and Psoriatic Arthritis Clinics Multicenter Advancement Network (PPACMAN) is working on demonstrating the effectiveness of combined dermatology-rheumatology clinics in addressing some of these challenges. Recent findings show that combined clinic models may improve quality of care by raising awareness of psoriatic disease, fostering educational activities for both patients and physicians, and allowing for comprehensive evaluation and management of patients through improved communications between disciplines. Psoriasis and psoriatic arthritis are complex diseases that often require an interdisciplinary approach. Thus, combined dermatology-rheumatology clinics and local-regional partnerships are potentially effective in improving quality of care in psoriatic disease.