A stronger association of depression with rheumatoid arthritis in presence of obesity and hypertriglyceridemia.

Background: Rheumatoid arthritis (RA) is an autoimmune disorder characterized by chronic and systemic inflammation. Recent research underscores the role of chronic inflammation in multiple common RA comorbidities such as depression, obesity, and cardiovascular diseases (CVDs), suggesting a potential overlap of the pathogenic mechanisms for RA. However, it is not well understood how the coexistence of these comorbid conditions impacts the risk of RA and whether any such association relates to body's inflammatory state. Methods: We used data from the 2007-2010 United States National Health and Nutrition Examination Survey (NHANES) database and compared RA prevalence between subsamples with the presence of any two conditions among depression, obesity, and hypertriglyceridemia (HTG). Each subsample was further divided into three categories based on the serum level of the inflammatory marker C-reactive protein (CRP) and analyzed for statistically significant differences using three-way χ2 tests of independence. Results: The study was conducted on 4,136 patients who fulfilled the inclusion criteria (representing 163,540,241 individuals after adjustment for sampling weights). Rates of depression, obesity, and HTG were found to be significantly higher (P < 0.001) among the subjects with RA compared with the control population with no arthritis. The presence of depression along with obesity or HTG showed a noticeably higher RA prevalence but such an association was not observed for the combination of obesity and HTG. The synergistic effect of HTG with depression was found to be most prominent at a medium CRP level (1-3 mg/L), while for obesity, the effect was observed across all CRP levels examined. These findings were further confirmed by the three-way χ2 test for independence. Conclusions: The presence of obesity or HTG in subjects suffering from depression might pose an increased risk of RA. Inflammatory mechanisms potentially play an important underlying role as suggested by the strong dependency of the association to CRP level. Identification of synergistic associations between RA risk conditions could provide useful information to predict the development and progress of RA.

Developing patient-centered outcomes research infrastructure in a rural community through patient and stakeholder engagement and education during the COVID-19 pandemic.

In addition to facing numerous healthcare disparities, rural America is chronically underrepresented in clinical research. This gap was made more evident during the COVID-19 pandemic. St Lawrence Health, located in rural Upstate New York, established its Clinical and Rural Health Research Department in 2015 to help close this gap. The research department then launched the DISRUPTS (Developing InfraStructure for Research to Utilize Patient-centered Techniques at St Lawrence Health System) program to build the infrastructure to conduct Patient-Centered Outcomes Research (PCOR). Together with a diverse committee, the team used proven methods and frameworks to develop a model for engagement, content creation, and education delivery that was successfully used to create educational programs on PCOR and COVID-19. The resulting DISRUPTS webinars had a combined total of over 450 live attendees and over 1,110 views on recordings. Furthermore, nearly one-third of those who participated in the COVID-19 vaccines webinar indicated they were more likely to receive a COVID-19 vaccine after taking part. DISRUPTS can serve as an important model for other rural communities that aim to increase access to and engagement in PCOR, and which hope to improve outreach and education efforts in their communities.

Prevalence of Common Comorbidities in Rheumatoid Arthritis in Rural New York Compared With National Data.

Background Rheumatoid arthritis (RA) is a systemic autoimmune disease with multiple known comorbidities and risk factors. The rate and severity of different comorbidities among RA patients are influenced by various demographic, behavioral, and socioeconomic factors, which can vary widely between urban and rural areas. However, limited information is currently available regarding the association of comorbidities with RA in rural settings. In this study, we investigated the prevalence of common comorbidities and risk factors of RA among RA patients from a rural hospital located in rural northern New York and compared them against national patient records obtained from the National Hospital Ambulatory Medical Care Survey (NHAMCS). Methodology We compared de-identified patient records of 153 RA patients obtained from St. Lawrence Health (SLH) to 198 RA patients from the NHAMCS. After performing the descriptive analyses and removing outliers, two-sample tests of proportions were used for comparing the binary categories of sex, age, obesity, hypertension, chronic obstructive pulmonary disease (COPD), and congestive heart failure (CHF) between the two datasets. These analyses were applied to both weighted and unweighted sets of national data, and a p-value of <0.05 was considered statistically significant. The differences were then explored at a greater resolution by binning body mass index, blood pressure (BP), COPD prevalence, and tobacco usage data across different age groups. Results A significantly higher rate of diastolic hypertension (χ2 = 17.942, w = 0.232, p < 0.001) and over two times higher prevalence of COPD (χ2 = 7.635, w = 0.147, p = 0.006) were observed among RA patients in the rural group. The rates of CHF were significantly different only when sample weighting was applied. When categorized by age groups, diastolic BP showed a peak at 40-49 years, coinciding with the age group for high tobacco smoking and peak disease activity in rural RA patients. Conclusions A higher prevalence of comorbidities of RA such as hypertension (diastolic) and COPD are observed in patients from northern rural New York compared to the national average. Our findings indicate that rural RA patients might have a distinct comorbidity burden, suggesting the need for larger-scale studies.

COVID-19 in a rural health system in New York - case series and an approach to management.

INTRODUCTION: Many rural hospitals and health systems in the USA lack sufficient resources to treat COVID-19. St Lawrence Health (SLH) developed a system for managing inpatient COVID-19 hospital admissions in St Lawrence County, an underserved rural county that is the largest county in New York State. METHODS: SLH used a hub-and-spoke system to route COVID-19 patients to its flagship hospital. It further assembled a small clinical team to manage admitted COVID-19 patients and to stay abreast of a quickly changing body of literature and standard of care. A review of clinical data was completed for patients who were treated by SLH's inpatient COVID-19 treatment team between 20 March and 22 May 2020. RESULTS: Twenty COVID-19 patients were identified. Sixteen patients (80%) met National Institutes of Health criteria for severe or critical disease. One patient died. No patients were transferred to other hospitals. CONCLUSION: During the first 2 months of the pandemic, the authors were able to manage hospitalized COVID-19 patients in their rural community. Development of similar treatment models in other rural areas should be considered.