Continued increases in the incidence of healthcare-associated infection (HAI) during the second year of the coronavirus disease 2019 (COVID-19) pandemic.
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ABSTRACT:
SUBMITTER: Lastinger LM
PROVIDER: S-EPMC9237489 | biostudies-literature | 2022 May
REPOSITORIES: biostudies-literature
Publications
Continued increases in the incidence of healthcare-associated infection (HAI) during the second year of the coronavirus disease 2019 (COVID-19) pandemic.
Lastinger Lindsey M LM Alvarez Carlos R CR Kofman Aaron A Konnor Rebecca Y RY Kuhar David T DT Nkwata Allan A Patel Prachi R PR Pattabiraman Vaishnavi V Xu Sunny Y SY Dudeck Margaret A MA
Infection control and hospital epidemiology 20220520 6
Data from the National Healthcare Safety Network were analyzed to assess the impact of COVID-19 on the incidence of healthcare-associated infections (HAI) during 2021. Standardized infection ratios were significantly higher than those during the prepandemic period, particularly during 2021-Q1 and 2021-Q3. The incidence of HAI was elevated during periods of high COVID-19 hospitalizations. ...[more]
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Project description:BackgroundPreventing severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2_ infections in healthcare workers (HCWs) is critical for healthcare delivery. We aimed to estimate and characterize the prevalence and incidence of coronavirus disease 2019 (COVID-19) in a US HCW cohort and to identify risk factors associated with infection.MethodsWe conducted a longitudinal cohort study of HCWs at 3 Bay Area medical centers using serial surveys and SARS-CoV-2 viral and orthogonal serological testing, including measurement of neutralizing antibodies. We estimated baseline prevalence and cumulative incidence of COVID-19. We performed multivariable Cox proportional hazards models to estimate associations of baseline factors with incident infections and evaluated the impact of time-varying exposures on time to COVID-19 using marginal structural models.ResultsA total of 2435 HCWs contributed 768 person-years of follow-up time. We identified 21 of 2435 individuals with prevalent infection, resulting in a baseline prevalence of 0.86% (95% confidence interval [CI], .53%-1.32%). We identified 70 of 2414 incident infections (2.9%), yielding a cumulative incidence rate of 9.11 cases per 100 person-years (95% CI, 7.11-11.52). Community contact with a known COVID-19 case was most strongly correlated with increased hazard for infection (hazard ratio, 8.1 [95% CI, 3.8-17.5]). High-risk work-related exposures (ie, breach in protective measures) drove an association between work exposure and infection (hazard ratio, 2.5 [95% CI, 1.3-4.8). More cases were identified in HCWs when community case rates were high.ConclusionsWe observed modest COVID-19 incidence despite consistent exposure at work. Community contact was strongly associated with infections, but contact at work was not unless accompanied by high-risk exposure.
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Project description:ImportanceThe coronavirus disease 2019 (COVID-19) pandemic has resulted in severe psychological, social, and economic stress in people's lives. It is not known whether the stress of the pandemic is associated with an increase in the incidence of stress cardiomyopathy.ObjectiveTo determine the incidence and outcomes of stress cardiomyopathy during the COVID-19 pandemic compared with before the pandemic.Design, setting, and participantsThis retrospective cohort study at cardiac catheterization laboratories with primary percutaneous coronary intervention capability at 2 hospitals in the Cleveland Clinic health system in Northeast Ohio examined the incidence of stress cardiomyopathy (also known as Takotsubo syndrome) in patients presenting with acute coronary syndrome who underwent coronary arteriography. Patients presenting during the COVID-19 pandemic, between March 1 and April 30, 2020, were compared with 4 control groups of patients with acute coronary syndrome presenting prior to the pandemic across 4 distinct timelines: March to April 2018, January to February 2019, March to April 2019, and January to February 2020. Data were analyzed in May 2020.ExposuresPatients were divided into 5 groups based on the date of their clinical presentation in relation to the COVID-19 pandemic.Main outcomes and measuresIncidence of stress cardiomyopathy.ResultsAmong 1914 patient presenting with acute coronary syndrome, 1656 patients (median [interquartile range] age, 67 [59-74]; 1094 [66.1%] men) presented during the pre-COVID-19 period (390 patients in March-April 2018, 309 patients in January-February 2019, 679 patients in March-April 2019, and 278 patients in January-February 2020), and 258 patients (median [interquartile range] age, 67 [57-75]; 175 [67.8%] men) presented during the COVID-19 pandemic period (ie, March-April 2020). There was a significant increase in the incidence of stress cardiomyopathy during the COVID-19 period, with a total of 20 patients with stress cardiomyopathy (incidence proportion, 7.8%), compared with prepandemic timelines, which ranged from 5 to 12 patients with stress cardiomyopathy (incidence proportion range, 1.5%-1.8%). The rate ratio comparing the COVID-19 pandemic period to the combined prepandemic period was 4.58 (95% CI, 4.11-5.11; P < .001). All patients during the COVID-19 pandemic had negative reverse transcription-polymerase chain reaction test results for COVID-19. Patients with stress cardiomyopathy during the COVID-19 pandemic had a longer median (interquartile range) hospital length of stay compared with those hospitalized in the prepandemic period (COVID-19 period: 8 [6-9] days; March-April 2018: 4 [3-4] days; January-February 2019: 5 [3-6] days; March-April 2019: 4 [4-8] days; January-February: 5 [4-5] days; P = .006). There were no significant differences between the COVID-19 period and the overall pre-COVID-19 period in mortality (1 patient [5.0%] vs 1 patient [3.6%], respectively; P = .81) or 30-day rehospitalization (4 patients [22.2%] vs 6 patients [21.4%], respectively; P = .90).Conclusions and relevanceThis study found that there was a significant increase in the incidence of stress cardiomyopathy during the COVID-19 pandemic when compared with prepandemic periods.
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Project description:Background: Healthcare workers in the front line of diagnosis, treatment, and care of patients with coronavirus disease 2019 (COVID-19) are at great risk of both infection and developing mental health symptoms. This study aimed to investigate the following: (1) whether healthcare workers in general hospitals experience higher mental distress than those in psychiatric hospitals; (2) the role played by religion and alexithymic trait in influencing the mental health condition and perceived level of happiness of healthcare workers amidst the stress of the COVID-19 pandemic; and (3) factors that influence the resilience of healthcare workers at 6 weeks' follow-up. Methods: Four-hundred and fifty-eight healthcare workers were recruited from general and psychiatric hospitals, and 419 were followed-up after 6 weeks. All participants filled out the 20-item Toronto Alexithymia Scale, five-item Brief-Symptom Rating Scale, and the Chinese Oxford Happiness Questionnaire. Results: Under the stress of the COVID-19 pandemic, 12.3% of frontline healthcare workers in general hospitals reported having mental distress and perceived lower social adaptation status compared with those working in psychiatric hospitals. Christians/Catholics perceived better psychological well-being, and Buddhists/Taoists were less likely to experience mental distress. The results at 6 weeks of follow-up showed that the perceived lower social adaptation status of general hospital healthcare workers was temporary and improved with time. Christian/Catholic religion and time had independent positive effects on psychological well-being; however, the interaction of Christian/Catholic religion and time had a negative effect. Conclusions: Collectivism and individualism in the cultural context are discussed with regard to alexithymic trait and Buddhist/Taoist and Christian/Catholic religious faiths. Early identification of mental distress and interventions should be implemented to ensure a healthy and robust clinical workforce for the treatment and control of the COVID-19 pandemic.
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