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.

OBJECTIVE:To characterize patients with Systemic Lupus Erythematosus (SLE) affected by COVID-19 and to analyze associations of comorbidities and medications on infection outcomes. METHODS:Patients with SLE and RT-PCR-confirmed COVID-19 were identified through an established New York University lupus cohort, query of two hospital systems, and referrals from rheumatologists. Data were prospectively collected via a web-based questionnaire and review of medical records. Baseline characteristics were obtained for all patients with COVID-19 to analyze risk factors for hospitalization. Data were also collected from asymptomatic patients and those with COVID-19-like symptoms who tested negative or were not tested. Statistical analyses were limited to confirmed COVID-19-positive patients. RESULTS:A total of 226 SLE patients were included: 41 patients with confirmed COVID-19; 19 patients who tested negative for COVID-19; 42 patients with COVID-19-like symptoms who did not get tested; and 124 patients who remained asymptomatic without testing. Of those SLE patients with COVID-19, 24 (59%) required hospitalization, four required intensive care unit-level of care, and four died. Hospitalized patients tended to be older, non-white, Hispanic, have higher BMI, history of nephritis, and at least one comorbidity. An exploratory (due to limited sample size) logistic regression analysis identified race, presence of at least one comorbidity, and BMI as independent predictors of hospitalization. CONCLUSION/CONCLUSIONS:In general, the variables predictive of hospitalization in our SLE patients were similar to those identified in the general population. Further studies are needed to understand additional risk factors for poor COVID-19 outcomes in patients with SLE.

Precision medicine, propelled by advances in multi-omics methods and analytics, aims to revolutionize patient care by using clinically-actionable molecular markers to guide diagnostic and therapeutic decisions. We describe the applications of precision medicine in risk stratification, drug selection, and treatment response prediction in psoriatic arthritis, for which targeted, personalized approaches are steadily emerging.

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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From birth, humans coexist and coevolve with trillions of micro-organisms inhabiting most body surfaces and cavities, referred to as the human microbiome. Advances in sequencing technologies and computational methods have propelled the exploration of the microbiome's contribution to human health and disease, spearheaded by massive efforts such as the Human Microbiome Project and the Europe-based MetaHit Consortium. Yet, despite the accumulated body of literature and a growing awareness among patients, microbiome research in rheumatology has not had a key impact on clinical practice. Herein, we describe some of the landmark microbiome studies in autoimmunity and rheumatology, the challenges and opportunities of microbiome research and how to navigate them, advances in related fields that have overcome these pitfalls, and future directions of harnessing the microbiome for diagnostic and therapeutic purposes.

Background/UNASSIGNED:Chronic inflammatory diseases (CIDs; ankylosing spondylitis [AS], psoriatic arthritis [PsA], psoriasis [PsO], or rheumatoid arthritis [RA]) and inflammatory bowel disease (IBD; Crohn's disease and ulcerative colitis) are associated with substantial economic burden. The relative increased costs among patients with CIDs and concomitant IBD compared to those without IBD is an important consideration when deciding on the clinical management of patient symptoms. Given the increasing use of novel agents for the treatment of CIDs, including those that may increase the risk of IBD in patients with CIDs, the objective of the study was to describe the incidence of IBD and to quantify healthcare resource utilization (HRU) and costs associated with IBD among patients with CIDs. Methods/UNASSIGNED:The IBM MarketScan® Research Databases (1/2010-7/2017) were used to identify adult patients with ≥2 claims with a diagnosis of either AS/PsA/PsO/RA (index date was a random claim for AS/PsA/PsO/RA). The one-year incidence rate of IBD was calculated following the index date. HRU and healthcare costs were compared between patients developing and not developing IBD in the year following the index date, adjusting for baseline characteristics. Results/UNASSIGNED: < 0.0001). Conclusion/UNASSIGNED:Higher HRU and costs were observed in patients with concomitant CID and IBD compared to patients with CID alone. Consideration should be given to treatment decisions that adequately manage CID and IBD to ensure optimal clinical and economic outcomes.