Modification of immunomodulatory medications by rheumatology patients during the peak of the COVID-19 pandemic in New York City.
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ABSTRACT:
SUBMITTER: Barbhaiya M
PROVIDER: S-EPMC9122542 | biostudies-literature | 2022 May
REPOSITORIES: biostudies-literature
Publications
Modification of immunomodulatory medications by rheumatology patients during the peak of the COVID-19 pandemic in New York City.
Barbhaiya Medha M Frey Marianna B MB Levine Jonah J Vitone Gregory G Lally Lindsay L Lockshin Michael D MD Bykerk Vivian V Feldman Candace H CH Mandl Lisa A LA
Clinical rheumatology 20220520 8
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Project description: Not available
| S-EPMC8025442 | biostudies-literature
Project description:Purpose: In March-April 2020, New York City was overwhelmed by COVID-19 infections, leading to substantial disruptions in nearly all aspects of care and operations at most local hospitals. This qualitative study of a quaternary, urban oncology hospital investigated the effects of these disruptions upon a professionally diverse cohort of its employees, including physicians, nurses, respiratory therapists, pharmacists, security guards, histology technicians, and environmental services workers. Methods : The participant pool were selected through a combination of purposive and random sampling methodology and coders performed a thematic content analysis of open-ended responses. Results: Analysis revealed several important themes, including concerns about exposure for self and others; patient care as a source of both satisfaction and stress; psychological consequences of uncertainty and ambiguity; family as sources of both comfort and apprehension; the importance of adequate institutional communication; and support from colleagues. Conclusion: Results and analysis provide suggestions for institutional policies and initiatives in the event of a COVID-19 surge or another public health crisis. Administrative efforts should aspire to establish, strengthen, and promote interdisciplinary and interdepartmental efforts to address, and mitigate workplace and personal stressors. through timely and transparent communications, consistent clinical guidance and information about changes in hospital policies and supplemental employee assistance.
| S-EPMC8010741 | biostudies-literature
Project description:The five boroughs of New York City (NYC) were early epicenters of the Covid-19 pandemic in the United States, with over 380,000 cases by May 31. High caseloads were also seen in nearby counties in New Jersey (NJ), Connecticut (CT) and New York (NY). The pandemic started in the area in March with an exponential rise in the number of daily cases, peaked in early April, briefly declined, and then, showed clear signs of a second peak in several counties. We will show that despite control measures such as lockdown and restriction of movement during the exponential rise in daily cases, there was a significant net migration of households from NYC boroughs to the neighboring counties in NJ, CT and NY State. We propose that the second peak in daily cases in these counties around NYC was due, in part, to the movement of people from NYC boroughs to these counties. We estimate the movement of people using "Change of Address" (CoA) data from the US Postal Service, provided under the "Freedom of Information Act" of 1967. To identify the timing of the second peak and the number of cases in it, we use a previously proposed SIR model, which accurately describes the early stages of the coronavirus pandemic in European countries. Subtracting the model fits from the data identified, we establish the timing and the number of cases, N CS , in the second peak. We then related the number of cases in the second peak to the county population density, P, and the excess Change of Address, E CoA, into each county using the simple model which fits the data very well with α = 0.68, β = 0.31 (R 2 = 0.74, p = 1.3e-8). We also find that the time between the first and second peaks was proportional to the distance of the county seat from NY Penn Station, suggesting that this migration of households and disease was a directed flow and not a diffusion process. Our analysis provides a simple method to use change of address data to track the spread of an infectious agent, such as SARS-Cov-2, due to migrations away from epicenters during the initial stages of a pandemic.
| S-EPMC8020985 | biostudies-literature
Project description:In December 2019, a new, severe coronavirus (COVID-19) appeared in Wuhan, China. Shortly after, the first COVID-19 case was confirmed in the United States. The emergence of this virus led many United States governors to enact executive orders in an effort to limit the person-to-person spread of the virus. One state that utilized such measures was New York, which contains New York City (NYC), the most populous city in the United States. Many reports have shown that due to the government-backed shutdowns, the air quality in major global cities improved. However, there has been only limited work on whether this same trend is seen throughout the United States, specifically within the densely populated NYC area. Thus, the focus of this study was to examine whether changes in air quality were observed in NYC resulting from New York State's COVID-19-associated shutdown measures. To do this, daily concentrations of fine particulate matter (PM2.5) and nitrogen dioxide (NO2) were obtained from 15 central monitoring stations throughout the five NYC boroughs for the first 17 weeks (January through May) of 2015-2020. Decreases in PM2.5 (36%) and NO2 (51%) concentrations were observed shortly after the shutdown took place; however, using a linear time lag model, when changes in these pollutant concentrations were compared to those measured during the same span of time in 2015-2019, no significant difference between the years was found. Therefore, we highlight the importance of considering temporal variability and long-term trends of pollutant concentrations when analyzing for short-term differences in air pollutant concentrations related to the COVID-19 shutdowns.
| S-EPMC7314691 | biostudies-literature
Project description:BACKGROUNDFrom March 2, 2020, to April 12, 2020, New York City (NYC) experienced exponential growth of the COVID-19 pandemic due to novel coronavirus (SARS-CoV-2). Little is known regarding how physicians have been affected. We aimed to characterize the COVID-19 impact on NYC resident physicians.METHODSIRB-exempt and expedited cross-sectional analysis through survey to NYC residency program directors April 3-12, 2020, encompassing events from March 2, 2020, to April 12, 2020.RESULTSFrom an estimated 340 residency programs around NYC, recruitment yielded 91 responses, representing 24 specialties and 2306 residents. In 45.1% of programs, at least 1 resident with confirmed COVID-19 was reported. One hundred one resident physicians were confirmed COVID-19-positive, with an additional 163 residents presumed positive for COVID-19 based on symptoms but awaiting or unable to obtain testing. Two COVID-19-positive residents were hospitalized, with 1 in intensive care. Among specialties with more than 100 residents represented, negative binomial regression indicated that infection risk differed by specialty (P = 0.039). In 80% of programs, quarantining a resident was reported. Ninety of 91 programs reported reuse or extended mask use, and 43 programs reported that personal protective equipment (PPE) was suboptimal. Sixty-five programs (74.7%) redeployed residents elsewhere to support COVID-19 efforts.CONCLUSIONMany resident physicians around NYC have been affected by COVID-19 through direct infection, quarantine, or redeployment. Lack of access to testing and concern regarding suboptimal PPE are common among residency programs. Infection risk may differ by specialty.FUNDINGNational Eye Institute Core Grant P30EY019007; Research to Prevent Blindness Unrestricted Grant; Parker Family Chair; University of Pennsylvania.
| S-EPMC7456242 | biostudies-literature
Project description:BackgroundWith the onset of the COVID-19 outbreak there has been concern that patients with obstructive sleep apnea (OSA) who develop COVID-19 may be at risk of greater morbidity and mortality than patients without OSA. COVID-19 is associated with an increased mortality in the elderly and particularly those with obesity, hypertension and diabetes, features which are typically seen in patients with OSA. This article describes the COVID-19 environment in New York City in which patients were evaluated and treated for OSA.MethodsA telephone questionnaire survey of 112 OSA patients determined the occurrence of COVID-19 in the sleep apnea population and the patients' perspective on sleep apnea Positive Airway Pressure (PAP) management during the COVID-19 outbreak. The three main objectives of the survey were as follows: (1) To discover how patients were coping with COVID-19 pandemic in terms of their sleep apnea and PAP use, (2) To determine whether PAP usage changed after the onset of the outbreak in terms of adherence, and (3) To find out if patients were concerned about whether they were at greater risk of contracting COVID-19 because of their sleep apnea and, if they became infected, whether COVID-19 might result in greater complications because of the presence of sleep apnea.Results/conclusionsThe adjustment in clinical management of OSA patients is described both during the peak of the outbreak in New York State (NYS), as well as the proposed modifications that will be instituted in order to return to full sleep center activities.
| S-EPMC7368649 | biostudies-literature
Project description:New York City Urban Soils Raw sequence reads
| PRJNA1362941 | ENA
Project description:Background and purposeThe COVID-19 pandemic acutely disrupted all facets of healthcare, with future implications that are expected to resonate for many years. We investigated the effect of the pandemic on neuroimaging volume, hypothesizing that all representative studies would experience a reduction in volume, with those typically performed in the inpatient setting (noncontrast enhanced CT head and CTA head/neck) taking longer to recover to pre-pandemic volumes compared to studies typically performed in the outpatient setting (MR brain with and without and MR lumbar spine without).Materials and methodsWe retrospectively queried our institution's radiology reporting system to collect weekly data for 1 year following the World Health Organization declaration of a pandemic (11 March 2020-9 March 2021) and compared them to imaging volumes from the previous year (11 March 2019-9 March 2020). We subsequently analyzed quarterly data (e.g., first quarter comparison: 3/11/2020-6/9/2020 was compared to 3/11/2019-6/9/2019).ResultsAll studies experienced decreased volume during the first quarter of the year following onset of the COVID-19 pandemic, with noncontrast enhanced CT head failing to recover to pre-pandemic volumes. CTA head/neck actually surpassed pre-pandemic volume by the second quarter of the year. MRI brain w/wo and MRI lumbar spine without recovered to baseline volume by the second quarter.ConclusionNoncontrast enhanced CT head did not recover pre-pandemic imaging volume. CTA head/neck volume initially decreased, however volume increased above pre-pandemic levels during the second quarter; this finding may be attributable to a prothrombotic state in COVID-19 patients.
| S-EPMC9066275 | biostudies-literature
Project description:IntroductionOur study explores how New York City (NYC) communities of various socioeconomic strata were uniquely impacted by the COVID-19 pandemic.MethodsNew York City ZIP codes were stratified into three bins by median income: high-income, middle-income, and low-income. Case, hospitalization, and death rates obtained from NYCHealth were compared for the period between March 2020 and April 2022.ResultsCOVID-19 transmission rates among high-income populations during off-peak waves were higher than transmission rates among low-income populations. Hospitalization rates among low-income populations were higher during off-peak waves despite a lower transmission rate. Death rates during both off-peak and peak waves were higher for low-income ZIP codes.DiscussionThis study presents evidence that while high-income areas had higher transmission rates during off-peak periods, low-income areas suffered greater adverse outcomes in terms of hospitalization and death rates. The importance of this study is that it focuses on the social inequalities that were amplified by the pandemic.
| S-EPMC11222585 | biostudies-literature
Project description:The COVID-19 pandemic has yielded disproportionate impacts on communities of color in New York City (NYC). Researchers have noted that social disadvantage may result in limited capacity to socially distance, and consequent disparities. We investigate the association between neighborhood social disadvantage and the ability to socially distance, infections, and mortality in Spring 2020. We combine Census Bureau and NYC open data with SARS-CoV-2 testing data using supervised dimensionality-reduction with Bayesian Weighted Quantile Sums regression. The result is a ZIP code-level index with weighted social factors associated with infection risk. We find a positive association between neighborhood social disadvantage and infections, adjusting for the number of tests administered. Neighborhood disadvantage is also associated with a proxy of the capacity to socially isolate, NYC subway usage data. Finally, our index is associated with COVID-19-related mortality.
| S-EPMC8211826 | biostudies-literature