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  1. Article ; Online: Epidemiology and Outcomes of COVID-19 in Home Dialysis Patients Compared with In-Center Dialysis Patients.

    Hsu, Caroline M / Weiner, Daniel E / Aweh, Gideon / Salenger, Page / Johnson, Doug S / Lacson, Eduardo

    Journal of the American Society of Nephrology : JASN

    2021  Volume 32, Issue 7, Page(s) 1569–1573

    Language English
    Publishing date 2021-06-09
    Publishing country United States
    Document type Letter
    ZDB-ID 1085942-1
    ISSN 1533-3450 ; 1046-6673
    ISSN (online) 1533-3450
    ISSN 1046-6673
    DOI 10.1681/ASN.2020111653
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Epidemiology of COVID-19 in an Urban Dialysis Center.

    Corbett, Richard W / Blakey, Sarah / Nitsch, Dorothea / Loucaidou, Marina / McLean, Adam / Duncan, Neill / Ashby, Damien R

    Journal of the American Society of Nephrology : JASN

    2020  Volume 31, Issue 8, Page(s) 1815–1823

    Abstract: ... on in-center dialysis compared with those dialyzing at home. We observed clustering in specific units and ... transmission.: Conclusions: The COVID-19 epidemic affected a large proportion of patients at this dialysis ... their vulnerability to COVID-19.: Methods: Over a 6-week period, we recorded new COVID-19 infections and outcomes ...

    Abstract Background: During the coronavirus disease 2019 (COVID-19) epidemic, many countries have instituted population-wide measures for social distancing. The requirement of patients on dialysis for regular treatment in settings typically not conducive to social distancing may increase their vulnerability to COVID-19.
    Methods: Over a 6-week period, we recorded new COVID-19 infections and outcomes for all adult patients receiving dialysis in a large dialysis center. Rapidly introduced control measures included a two-stage routine screening process at dialysis entry (temperature and symptom check, with possible cases segregated within the unit and tested for SARS-CoV-2), isolated dialysis in a separate unit for patients with infection, and universal precautions that included masks for dialysis nursing staff.
    Results: Of 1530 patients (median age 66 years; 58.2% men) receiving dialysis, 300 (19.6%) developed COVID-19 infection, creating a large demand for isolated outpatient dialysis and inpatient beds. An analysis that included 1219 patients attending satellite dialysis clinics found that older age was a risk factor for infection. COVID-19 infection was substantially more likely to occur among patients on in-center dialysis compared with those dialyzing at home. We observed clustering in specific units and on specific shifts, with possible implications for aspects of service design, and high rates of nursing staff illness. A predictive epidemic model estimated a reproduction number of 2.2; cumulative cases deviated favorably from the model from the fourth week, suggesting that the implemented measures controlled transmission.
    Conclusions: The COVID-19 epidemic affected a large proportion of patients at this dialysis center, creating service pressures exacerbated by nursing staff illness. Details of the control strategy and characteristics of this epidemic may be useful for dialysis providers and other institutions providing patient care.
    MeSH term(s) Aged ; Betacoronavirus ; COVID-19 ; Coronavirus Infections/complications ; Coronavirus Infections/epidemiology ; Electronic Health Records ; Female ; Fever/complications ; Humans ; Infection Control/methods ; Kidney Failure, Chronic/complications ; Kidney Failure, Chronic/therapy ; London ; Male ; Middle Aged ; Pandemics ; Patient Isolation ; Pneumonia, Viral/complications ; Pneumonia, Viral/epidemiology ; Proportional Hazards Models ; Quarantine ; Renal Dialysis/adverse effects ; Risk Factors ; SARS-CoV-2 ; Urban Health Services/organization & administration
    Keywords covid19
    Language English
    Publishing date 2020-06-19
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1085942-1
    ISSN 1533-3450 ; 1046-6673
    ISSN (online) 1533-3450
    ISSN 1046-6673
    DOI 10.1681/ASN.2020040534
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Epidemiology of COVID-19 in an Urban Dialysis Center.

    Corbett, Richard W / Blakey, Sarah / Nitsch, Dorothea / Loucaidou, Marina / McLean, Adam / Duncan, Neill / Ashby, Damien R / West London Renal and Transplant Centre

    2020  

    Abstract: ... Over a 6-week period, we recorded new COVID-19 infections and outcomes for all adult patients receiving ... substantially more likely to occur among patients on in-center dialysis compared with those dialyzing at home ... within the unit and tested for SARS-CoV-2), isolated dialysis in a separate unit for patients with infection, and ...

    Abstract BACKGROUND: During the coronavirus disease 2019 (COVID-19) epidemic, many countries have instituted population-wide measures for social distancing. The requirement of patients on dialysis for regular treatment in settings typically not conducive to social distancing may increase their vulnerability to COVID-19. METHODS: Over a 6-week period, we recorded new COVID-19 infections and outcomes for all adult patients receiving dialysis in a large dialysis center. Rapidly introduced control measures included a two-stage routine screening process at dialysis entry (temperature and symptom check, with possible cases segregated within the unit and tested for SARS-CoV-2), isolated dialysis in a separate unit for patients with infection, and universal precautions that included masks for dialysis nursing staff. RESULTS: Of 1530 patients (median age 66 years; 58.2% men) receiving dialysis, 300 (19.6%) developed COVID-19 infection, creating a large demand for isolated outpatient dialysis and inpatient beds. An analysis that included 1219 patients attending satellite dialysis clinics found that older age was a risk factor for infection. COVID-19 infection was substantially more likely to occur among patients on in-center dialysis compared with those dialyzing at home. We observed clustering in specific units and on specific shifts, with possible implications for aspects of service design, and high rates of nursing staff illness. A predictive epidemic model estimated a reproduction number of 2.2; cumulative cases deviated favorably from the model from the fourth week, suggesting that the implemented measures controlled transmission. CONCLUSIONS: The COVID-19 epidemic affected a large proportion of patients at this dialysis center, creating service pressures exacerbated by nursing staff illness. Details of the control strategy and characteristics of this epidemic may be useful for dialysis providers and other institutions providing patient care.
    Keywords covid19
    Subject code 616
    Language English
    Publishing date 2020-06-01
    Publisher American Society of Nephrology
    Publishing country uk
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article: Epidemiology of COVID-19 in an Urban Dialysis Center

    Corbett, Richard W / Blakey, Sarah / Nitsch, Dorothea / Loucaidou, Marina / McLean, Adam / Duncan, Neill / Ashby, Damien R

    J Am Soc Nephrol

    Abstract: ... Over a 6-week period, we recorded new COVID-19 infections and outcomes for all adult patients receiving ... substantially more likely to occur among patients on in-center dialysis compared with those dialyzing at home ... within the unit and tested for SARS-CoV-2), isolated dialysis in a separate unit for patients with infection, and ...

    Abstract BACKGROUND: During the coronavirus disease 2019 (COVID-19) epidemic, many countries have instituted population-wide measures for social distancing. The requirement of patients on dialysis for regular treatment in settings typically not conducive to social distancing may increase their vulnerability to COVID-19. METHODS: Over a 6-week period, we recorded new COVID-19 infections and outcomes for all adult patients receiving dialysis in a large dialysis center. Rapidly introduced control measures included a two-stage routine screening process at dialysis entry (temperature and symptom check, with possible cases segregated within the unit and tested for SARS-CoV-2), isolated dialysis in a separate unit for patients with infection, and universal precautions that included masks for dialysis nursing staff. RESULTS: Of 1530 patients (median age 66 years; 58.2% men) receiving dialysis, 300 (19.6%) developed COVID-19 infection, creating a large demand for isolated outpatient dialysis and inpatient beds. An analysis that included 1219 patients attending satellite dialysis clinics found that older age was a risk factor for infection. COVID-19 infection was substantially more likely to occur among patients on in-center dialysis compared with those dialyzing at home. We observed clustering in specific units and on specific shifts, with possible implications for aspects of service design, and high rates of nursing staff illness. A predictive epidemic model estimated a reproduction number of 2.2; cumulative cases deviated favorably from the model from the fourth week, suggesting that the implemented measures controlled transmission. CONCLUSIONS: The COVID-19 epidemic affected a large proportion of patients at this dialysis center, creating service pressures exacerbated by nursing staff illness. Details of the control strategy and characteristics of this epidemic may be useful for dialysis providers and other institutions providing patient care.
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #607420
    Database COVID19

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