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The COVID-19 pandemic has subjected healthcare workers to enormous stress. Measuring the impact of this public health emergency is essential to developing strategies that can effectively promote resilience and wellness. The Epidemic-Pandemic Impacts Inventory Supplemental Healthcare Module-Brief Version (EPII-SHMb) was developed to measure impacts among occupational cohorts serving on the front lines of healthcare. While this instrument has been utilized in COVID-19 related studies, little is known about its psychometric properties. This study collects evidence for validity of the EPII-SHMb by evaluating its internal structure and how its scores associate with other variables. Physicians and nursing staff across a large New York health system were cross-sectionally surveyed using an online questionnaire between June and November 2020. Exploratory factor analysis resulted in a 3-factor solution, identifying factors Lack of Workplace Safety (7 items), Death/Dying of Patients (3 items), and Lack of Outside Support (2 items). Internal consistency was high overall and within physician/nursing and gender subgroups (Cronbach's alpha: 0.70 - 0.81). Median scores on Death/Dying of Patients were higher among those who directly cared for COVID-19 patients or worked in COVID-19 hospital units. These results are promising. Additional studies evaluating other dimensions of validity are necessary.

Rationale: During the first wave of the coronavirus disease (COVID-19) pandemic in New York City, the number of mechanically ventilated COVID-19 patients rapidly surpassed the capacity of traditional intensive care units (ICUs), resulting in health systems utilizing other areas as expanded ICUs to provide critical care. Objectives: To evaluate the mortality of patients admitted to expanded ICUs compared with those admitted to traditional ICUs. Methods: Multicenter, retrospective, cohort study of mechanically ventilated patients with COVID-19 admitted to the ICUs at 11 Northwell Health hospitals in the greater New York City area between March 1, 2020 and April 30, 2020. Primary outcome was in-hospital mortality up to 28 days after intubation of COVID-19 patients. Results: Among 1,966 mechanically ventilated patients with COVID-19, 1,198 (61%) died within 28 days after intubation, 46 (2%) were transferred to other hospitals outside of the Northwell Health system, 722 (37%) survived in the hospital until 28 days or were discharged after recovery. The risk of mortality of mechanically ventilated patients admitted to expanded ICUs was not different from those admitted to traditional ICUs (hazard ratio [HR], 1.07; 95% confidence interval [CI], 0.95-1.20; P  = 0.28), while hospital occupancy for critically ill patients itself was associated with increased risk of mortality (HR, 1.28; 95% CI, 1.12-1.45; P  < 0.001). Conclusions: Although increased hospital occupancy for critically ill patients itself was associated with increased mortality, the risk of 28-day in-hospital mortality of mechanically ventilated patients with COVID-19 who were admitted to expanded ICUs was not different from those admitted to traditional ICUs.

Background: Although over 5000 platelet transfusions occur daily in the United States, the presence of SARS-CoV-2 antibodies in platelet units is not commonly evaluated for. The effects of platelet transfusions with SARS-CoV-2 antibodies remain largely unknown. We evaluated single-donor (apheresis) platelet units for SARS-CoV-2 antibodies and determined if platelet transfusions passively transferred antibodies to seronegative recipients., Study Design and Methods: We conducted a retrospective analysis as part of a quality assurance initiative during February to March 2021 at a tertiary referral academic center in suburban New York. Platelet units and platelet recipients were evaluated for the presence of SARS-CoV-2 antibodies using the DiaSorin LIASON SARS-CoV-2 S1/S2 IgG assay. There were 47 platelet recipients eligible for study inclusion. The primary outcome was the presence of SARS-CoV-2 spike protein IgG antibodies in the recipient's blood after platelet transfusion., Results: Twenty-three patients received platelets with SARS-CoV-2 spike protein IgG antibodies; 13 recipients had detection of SARS-COV-2 antibodies (56.5%), and 10 recipients did not. The median antibody titer in the platelet units given to the group with passive antibodies detected was significantly higher compared to the median antibody titer in the platelet units given to the group without antibodies detected (median [interquartile range]: 306 AU/ml [132, 400] vs. 96.1 AU/ml [30.6, 186], p = .027)., Conclusions: Our study demonstrated a significant rate of passive transfer of SARS-CoV-2 spike protein IgG antibodies through platelet transfusions. Considering the volume of daily platelet transfusions, this is something all clinicians should be aware of., (© 2022 AABB.)

Objective: To examine the association between a number of negative COVID-19 occupational experiences and probable anxiety, depression, and PTSD among physicians., Methods: Cross-sectional examination of longitudinal registry data consisting of physician personal and occupational well-being. Multivariable logistic regressions were performed to determine the association between negative COVID-19 experiences and outcomes., Results: Of the 620 eligible physicians, approximately half were female (49%), and 71% white with a mean age of 46.51 (SD = 13.28). A one-point increase in negative experience score was associated with a 23% increase in probable anxiety (OR = 1.23, 95% CI: 1.14-1.34), a 23% increase in probable depression (OR = 1.23, 95% CI: 1.13-1.33), and a 41% increase in probable PTSD (OR = 1.41, 95% CI: 1.30-1.52)., Conclusions: Negative pandemic experiences were strongly associated with adverse mental health outcomes while greater resilience was protective., Competing Interests: Conflict of interest: None declared. The authors report no conflicts of interest., (Copyright © 2021 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American College of Occupational and Environmental Medicine.)

Purpose: The COVID-19 pandemic has generated significant psychological distress among health care workers worldwide. New York State, particularly New York City and surrounding counties, were especially affected, and experienced over 430,000 COVID-19 cases and 25,000 deaths by mid-August 2020. We hypothesized that physicians and trainees (residents/fellows) who were redeployed outside of their specialty to treat COVID-19 inpatients would have higher burnout., Methods: We conducted a cross-sectional survey to assess burnout among attending and trainee physicians who provided patient care during the COVID-19 pandemic between March-May 2020 across a diverse health care system in New York. Separate multivariable logistic regressions were performed to determine the association between redeployment and measures of burnout: Emotional Exhaustion (EE) and Depersonalization. Burnout measures were also compared by physician vs trainee status. The differential association between redeployment and outcomes with respect to trainee status was also evaluated., Results: Redeployment was significantly associated with increased odds of EE {OR =1.53, 95% CI: 1.01-2.31} after adjusting for gender and Epidemic-Pandemic Impacts Inventory (EPII) score. Similarly, being a trainee, especially a junior level trainee, was associated with increased odds of EE {OR = 1.59, 95% CI: 1.01-2.51} after adjusting for gender and EPII scores. However, neither redeployment nor trainee status were significantly associated with Depersonalization. Interactions between redeployment and trainee status were not significant for any of the outcomes ( p >.05)., Conclusion: Physicians who were redeployed to treat COVID-19 patients had higher reported measures of EE. Trainees, irrespective of redeployment status, had higher EE as compared with attendings. Additional research is needed to understand the long-term impact of redeployment on burnout among redeployed physicians. Programs to identify and address potential burnout among physicians, particularly trainees, during pandemics may be beneficial.

Objectives: Given the importance of continued COVID-19 surveillance, our objective was to present findings from a short follow-up survey of workforce SARS-CoV-2 antibody testing in previously seropositive participants and describe associations between work locations and negative seroconversion., Methods: We conducted a follow-up cross-sectional survey on previously seropositive healthcare workers, using questionnaires and serology testing. Eligible employees previously consented to be contacted were invited by email to participate in a survey and laboratory blood draws. SAS V.9.4 was used to describe employee characteristics and seroconversion status. Binomial regression models were used to calculate unadjusted and adjusted prevalence ratios (PRs) of seronegativity. The multivariable analyses included age, gender, race/ethnicity, region of residence, work location, prior diagnosis/PCR results and days between antibody tests. Unadjusted and adjusted PRs 95% CIs and p values were reported., Results: Of the 3990 employees emailed in the follow-up, 1631 completed an exposure survey and generated a blood-draw requisition form. Average time between serology testing was 4 months. Of the 955 employees with complete serology results, 79.1% were female, 53.4% were white and 46.4% resided in Long Island; 176 participants seroconverted to negative. In multivariable regression analyses adjusted for gender, race/ethnicity and region of residence, younger employees (<20-30 years), intensive care unit workers and those with no/negative prior PCR results were more likely to have negative seroconversion., Conclusions and Relevance: Patterns of negative seroconversion showed significant differences by sociodemographic and workplace characteristics. These results contribute information to workplace serosurveillance., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Patients with coronavirus disease 2019 (COVID-19) can have increased risk of mortality shortly after intubation. The aim of this study is to develop a model using predictors of early mortality after intubation from COVID-19. A retrospective study of 1945 intubated patients with COVID-19 admitted to 12 Northwell hospitals in the greater New York City area was performed. Logistic regression model using backward selection was applied. This study evaluated predictors of 14-day mortality after intubation for COVID-19 patients. The predictors of mortality within 14 days after intubation included older age, history of chronic kidney disease, lower mean arterial pressure or increased dose of required vasopressors, higher urea nitrogen level, higher ferritin, higher oxygen index, and abnormal pH levels. We developed and externally validated an intubated COVID-19 predictive score (ICOP). The area under the receiver operating characteristic curve was 0.75 (95% CI 0.73-0.78) in the derivation cohort and 0.71 (95% CI 0.67-0.75) in the validation cohort; both were significantly greater than corresponding values for sequential organ failure assessment (SOFA) or CURB-65 scores. The externally validated predictive score may help clinicians estimate early mortality risk after intubation and provide guidance for deciding the most effective patient therapies., (© 2021. The Author(s).)

COVID-19 in-hospital morbidity and mortality in people living with HIV (PLWH) were compared to HIV-negative COVID-19 patients within a New York City metropolitan health system, the hardest hit region in the United States early in the pandemic. A total of 10,202 inpatients were diagnosed with COVID-19, of which 99 were PLWH. PLWH were younger (58.3 years (SD = 12.42) versus 64.32 years (SD = 16.77), p < 0.001) and had a higher prevalence of men (73.7% versus 57.9%, p = 0.002) and Blacks (43.4% versus 21.7%, p < 0.001) than the HIV-negative population. PLWH had a higher prevalence of malignancies (18% versus 7%, p = < 0.001), chronic liver disease (12% versus 3%, p < 0.001), and end-stage renal disease (11% versus 4%, p = 0.007). Use of a ventilator, admission to the ICU, and in-hospital mortality were not different. Of the 99 PLWH, 12 were virally unsuppressed and 9 had CD4% < 14. Two of the 12 virally unsuppressed patients and 4/9 patients with CD4% < 14 died. Ninety-one of the 99 PLWH were on treatment for HIV, and 5 of the 8 not on treatment died. Among PLWH with prior values, absolute CD4 count decreased an average of 192 cells/mm 3 at the time of COVID-19 diagnosis ( p < 0.001). Hospitalized patients with HIV and COVID-19 coinfection did not have worse outcomes than the general population. Among PLWH, those with CD4%<14 or not on treatment for HIV had higher mortality rates. Those PLWH who received IL-6 inhibitors had lower mortality rates. PLWH given antifungal medications, hydroxychloroquine, antibiotics (including azithromycin), steroids, and vasopressors had higher mortality rates.

Abstract The COVID-19 pandemic has subjected healthcare workers to enormous stress. Measuring the impact of this public health emergency is essential to developing strategies that can effectively promote resilience and wellness. The Epidemic-Pandemic Impacts Inventory Supplemental Healthcare Module-Brief Version (EPII-SHMb) was developed to measure impacts among occupational cohorts serving on the front lines of healthcare. While this instrument has been utilized in COVID-19 related studies, little is known about its psychometric properties. This study collects evidence for validity of the EPII-SHMb by evaluating its internal structure and how its scores associate with other variables. Physicians and nursing staff across a large New York health system were cross-sectionally surveyed using an online questionnaire between June and November 2020. Exploratory factor analysis resulted in a 3-factor solution, identifying factors Lack of Workplace Safety (7 items), Death/Dying of Patients (3 items), and Lack of Outside Support (2 items). Internal consistency was high overall and within physician/nursing and gender subgroups (Cronbach’s alpha: 0.70 − 0.81). Median scores on Death/Dying of Patients were higher among those who directly cared for COVID-19 patients or worked in COVID-19 hospital units. These results are promising. Additional studies evaluating other dimensions of validity are necessary. [ABSTRACT FROM AUTHOR]