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COVID-19-associated AKI in hospitalized US patients: incidence, temporal trends, geographical distribution, risk factors and mortality
Yun Jae Yoo; Kenneth J Wilkins; Fadhl Alakwaa; Feifan Liu; Luke A Torre-Healy; Spencer Krichevsky; Stephanie S Hong; Ankit Sakhuja; Chetan K Potu; Joel Saltz; Rajiv Saran; Richard L Zhu; Soko Setoguchi; Sandra L Kane-Gill; Sandeep Mallipattu; Yongqun He; David H Ellison; James B Byrd; Chirag R Parikh; Richard A Moffitt; FARRUKH KORAISHY.
Afiliação
  • Yun Jae Yoo; Stony Brook University
  • Kenneth J Wilkins; NIH
  • Fadhl Alakwaa; University of Michigan
  • Feifan Liu; University of Massachusetts Chan Medical School
  • Luke A Torre-Healy; Stony Brook University
  • Spencer Krichevsky; Stony Brook University
  • Stephanie S Hong; Johns Hopkins University School of Medicine
  • Ankit Sakhuja; West Virginia United Health System: WVU Medicine
  • Chetan K Potu; Stony Brook University
  • Joel Saltz; Stony Brook University
  • Rajiv Saran; University of Michigan
  • Richard L Zhu; Johns Hopkins University School of Medicine
  • Soko Setoguchi; Rutgers Robert Wood Johnson Medical School and School of Public Health
  • Sandra L Kane-Gill; University of Pittsburgh
  • Sandeep Mallipattu; Stony Brook University
  • Yongqun He; University of Michigan
  • David H Ellison; Oregon Health & Science University
  • James B Byrd; 5570C MSRB II
  • Chirag R Parikh; Johns Hopkins School of Medicine
  • Richard A Moffitt; Stony Brook University
  • FARRUKH KORAISHY; Stony Brook University
Preprint em En | PREPRINT-MEDRXIV | ID: ppmedrxiv-22279398
ABSTRACT
BackgroundAcute kidney injury (AKI) is associated with mortality in patients hospitalized with COVID-19, however, its incidence, geographic distribution, and temporal trends since the start of the pandemic are understudied. MethodsElectronic health record data were obtained from 53 health systems in the United States (US) in the National COVID Cohort Collaborative (N3C). We selected hospitalized adults diagnosed with COVID-19 between March 6th, 2020, and January 6th, 2022. AKI was determined with serum creatinine (SCr) and diagnosis codes. Time were divided into 16-weeks (P1-6) periods and geographical regions into Northeast, Midwest, South, and West. Multivariable models were used to analyze the risk factors for AKI or mortality. ResultsOut of a total cohort of 306,061, 126,478 (41.0 %) patients had AKI. Among these, 17.9% lacked a diagnosis code but had AKI based on the change in SCr. Similar to patients coded for AKI, these patients had higher mortality compared to those without AKI. The incidence of AKI was highest in P1 (49.3%), reduced in P2 (40.6%), and relatively stable thereafter. Compared to the Midwest, the Northeast, South, and West had higher adjusted AKI incidence in P1, subsequently, the South and West regions continued to have the highest relative incidence. In multivariable models, AKI defined by either SCr or diagnostic code, and the severity of AKI was associated with mortality. ConclusionsUncoded cases of COVID-19-associated AKI are common and associated with mortality. The incidence and distribution of COVID-19-associated AKI have changed since the first wave of the pandemic in the US.
Licença
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Texto completo: 1 Coleções: 09-preprints Base de dados: PREPRINT-MEDRXIV Tipo de estudo: Cohort_studies / Observational_studies / Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Preprint
Texto completo: 1 Coleções: 09-preprints Base de dados: PREPRINT-MEDRXIV Tipo de estudo: Cohort_studies / Observational_studies / Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Preprint