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  1. Article ; Online: Association of SARS-CoV-2 viral load at admission with in-hospital acute kidney injury: A retrospective cohort study.

    Paranjpe, Ishan / Chaudhary, Kumardeep / Johnson, Kipp W / Jaladanki, Suraj K / Zhao, Shan / De Freitas, Jessica K / Pujdas, Elisabet / Chaudhry, Fayzan / Bottinger, Erwin P / Levin, Matthew A / Fayad, Zahi A / Charney, Alexander W / Houldsworth, Jane / Cordon-Cardo, Carlos / Glicksberg, Benjamin S / Nadkarni, Girish N

    PloS one

    2021  Volume 16, Issue 2, Page(s) e0247366

    Abstract: ... SARS-CoV-2 viral load (VL) to AKI. We explored the association of SARS-CoV-2 VL at admission to AKI ... may be a direct effect of SARS-CoV-2 virus on the kidney; however, there is currently no data linking ... Background: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the associated ...

    Abstract Background: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the associated Coronavirus Disease 2019 (COVID-19) is a public health emergency. Acute kidney injury (AKI) is a common complication in hospitalized patients with COVID-19 although mechanisms underlying AKI are yet unclear. There may be a direct effect of SARS-CoV-2 virus on the kidney; however, there is currently no data linking SARS-CoV-2 viral load (VL) to AKI. We explored the association of SARS-CoV-2 VL at admission to AKI in a large diverse cohort of hospitalized patients with COVID-19.
    Methods and findings: We included patients hospitalized between March 13th and May 19th, 2020 with SARS-CoV-2 in a large academic healthcare system in New York City (N = 1,049) with available VL at admission quantified by real-time RT-PCR. We extracted clinical and outcome data from our institutional electronic health records (EHRs). AKI was defined by KDIGO guidelines. We fit a Fine-Gray competing risks model (with death as a competing risk) using demographics, comorbidities, admission severity scores, and log10 transformed VL as covariates and generated adjusted hazard ratios (aHR) and 95% Confidence Intervals (CIs). VL was associated with an increased risk of AKI (aHR = 1.04, 95% CI: 1.01-1.08, p = 0.02) with a 4% increased hazard for each log10 VL change. Patients with a viral load in the top 50th percentile had an increased adjusted hazard of 1.27 (95% CI: 1.02-1.58, p = 0.03) for AKI as compared to those in the bottom 50th percentile.
    Conclusions: VL is weakly but significantly associated with in-hospital AKI after adjusting for confounders. This may indicate the role of VL in COVID-19 associated AKI. This data may inform future studies to discover the mechanistic basis of COVID-19 associated AKI.
    MeSH term(s) Acute Kidney Injury/metabolism ; Acute Kidney Injury/virology ; Adult ; Aged ; Aged, 80 and over ; COVID-19/metabolism ; COVID-19/mortality ; COVID-19/virology ; Cohort Studies ; Comorbidity ; Female ; Hospital Mortality ; Hospitalization/statistics & numerical data ; Humans ; Male ; Middle Aged ; New York City/epidemiology ; Proportional Hazards Models ; Retrospective Studies ; Risk Factors ; SARS-CoV-2/isolation & purification ; Viral Load
    Language English
    Publishing date 2021-02-24
    Publishing country United States
    Document type Journal Article
    ISSN 1932-6203
    ISSN (online) 1932-6203
    DOI 10.1371/journal.pone.0247366
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Association of SARS-CoV-2 viral load at admission with in-hospital acute kidney injury

    Ishan Paranjpe / Kumardeep Chaudhary / Kipp W Johnson / Suraj K Jaladanki / Shan Zhao / Jessica K De Freitas / Elisabet Pujdas / Fayzan Chaudhry / Erwin P Bottinger / Matthew A Levin / Zahi A Fayad / Alexander W Charney / Jane Houldsworth / Carlos Cordon-Cardo / Benjamin S Glicksberg / Girish N Nadkarni

    PLoS ONE, Vol 16, Iss 2, p e

    A retrospective cohort study.

    2021  Volume 0247366

    Abstract: ... SARS-CoV-2 viral load (VL) to AKI. We explored the association of SARS-CoV-2 VL at admission to AKI ... may be a direct effect of SARS-CoV-2 virus on the kidney; however, there is currently no data linking ... Background Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the associated ...

    Abstract Background Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the associated Coronavirus Disease 2019 (COVID-19) is a public health emergency. Acute kidney injury (AKI) is a common complication in hospitalized patients with COVID-19 although mechanisms underlying AKI are yet unclear. There may be a direct effect of SARS-CoV-2 virus on the kidney; however, there is currently no data linking SARS-CoV-2 viral load (VL) to AKI. We explored the association of SARS-CoV-2 VL at admission to AKI in a large diverse cohort of hospitalized patients with COVID-19. Methods and findings We included patients hospitalized between March 13th and May 19th, 2020 with SARS-CoV-2 in a large academic healthcare system in New York City (N = 1,049) with available VL at admission quantified by real-time RT-PCR. We extracted clinical and outcome data from our institutional electronic health records (EHRs). AKI was defined by KDIGO guidelines. We fit a Fine-Gray competing risks model (with death as a competing risk) using demographics, comorbidities, admission severity scores, and log10 transformed VL as covariates and generated adjusted hazard ratios (aHR) and 95% Confidence Intervals (CIs). VL was associated with an increased risk of AKI (aHR = 1.04, 95% CI: 1.01-1.08, p = 0.02) with a 4% increased hazard for each log10 VL change. Patients with a viral load in the top 50th percentile had an increased adjusted hazard of 1.27 (95% CI: 1.02-1.58, p = 0.03) for AKI as compared to those in the bottom 50th percentile. Conclusions VL is weakly but significantly associated with in-hospital AKI after adjusting for confounders. This may indicate the role of VL in COVID-19 associated AKI. This data may inform future studies to discover the mechanistic basis of COVID-19 associated AKI.
    Keywords Medicine ; R ; Science ; Q
    Subject code 616
    Language English
    Publishing date 2021-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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