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Geographic and Temporal Trends in COVID-Associated Acute Kidney Injury in the National COVID Cohort Collaborative.
Yoo, Yun J; Wilkins, Kenneth J; Alakwaa, Fadhl; Liu, Feifan; Torre-Healy, Luke A; Krichevsky, Spencer; Hong, Stephanie S; Sakhuja, Ankit; Potu, Chetan K; Saltz, Joel H; Saran, Rajiv; Zhu, Richard L; Setoguchi, Soko; Kane-Gill, Sandra L; Mallipattu, Sandeep K; He, Yongqun; Ellison, David H; Byrd, James B; Parikh, Chirag R; Moffitt, Richard A; Koraishy, Farrukh M.
Afiliação
  • Yoo YJ; Department of Biology, Stony Brook University, Stony Brook, New York.
  • Wilkins KJ; Biostatistics Program, Office of the Director, National Institute of Diabetes & Digestive & Kidney Diseases, Bethesda, Maryland.
  • Alakwaa F; Department of Preventive Medicine & Biostatistics, F. Edward Hébert School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, Maryland.
  • Liu F; Department of Internal Medicine, Nephrology Division, University of Michigan, Ann Arbor, Michigan.
  • Torre-Healy LA; Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, Massachusetts.
  • Krichevsky S; Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York.
  • Hong SS; Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York.
  • Sakhuja A; Biomedical Informatics and Data Science Section, Department of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Potu CK; Section of Cardiovascular Critical Care, Department of Cardiovascular and Thoracic Surgery, West Virginia University, Morgantown, West Virginia.
  • Saltz JH; Renaissance School of Medicine, Stony Brook University, Stony Brook, New York.
  • Saran R; Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York.
  • Zhu RL; Division of Nephrology, Department of Internal Medicine and Department of Epidemiology, University of Michigan, Ann Arbor, Michigan.
  • Setoguchi S; Institution for Clinical and Translational Research, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Kane-Gill SL; Department of Medicine and Epidemiology, Rutgers Robert Wood Johnson Medical School and School of Public Health, New Brunswick, New Jersey.
  • Mallipattu SK; Department of Pharmacy and Therapeutics, School of Pharmacy, University of Pittsburgh, Pittsburgh, Pennsylvania.
  • He Y; Division of Nephrology and Hypertension, Department of Medicine, Stony Brook University, Stony Brook, New York.
  • Ellison DH; Renal Section, Northport VAMC, Northport, New York.
  • Byrd JB; Unit for Laboratory Animal Medicine, Department of Microbiology and Immunology, and Center for Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, Michigan.
  • Parikh CR; Oregon Clinical & Translational Research Institute, Oregon Health & Science University, Portland, Oregon.
  • Moffitt RA; Renal Section, VA Portland Health Care System, Portland, Oregon.
  • Koraishy FM; Division of Cardiovascular Medicine, Department of Medicine, University of Michigan, Ann Arbor, Michigan.
Clin J Am Soc Nephrol ; 18(8): 1006-1018, 2023 08 01.
Article em En | MEDLINE | ID: mdl-37131278
ABSTRACT

BACKGROUND:

AKI is associated with mortality in patients hospitalized with coronavirus disease 2019 (COVID-19); however, its incidence, geographic distribution, and temporal trends since the start of the pandemic are understudied.

METHODS:

Electronic health record data were obtained from 53 health systems in the United States in the National COVID Cohort Collaborative. We selected hospitalized adults diagnosed with COVID-19 between March 6, 2020, and January 6, 2022. AKI was determined with serum creatinine and diagnosis codes. Time was divided into 16-week periods (P1-6) and geographical regions into Northeast, Midwest, South, and West. Multivariable models were used to analyze the risk factors for AKI or mortality.

RESULTS:

Of a total cohort of 336,473, 129,176 (38%) patients had AKI. Fifty-six thousand three hundred and twenty-two (17%) lacked a diagnosis code but had AKI based on the change in serum creatinine. Similar to patients coded for AKI, these patients had higher mortality compared with those without AKI. The incidence of AKI was highest in P1 (47%; 23,097/48,947), lower in P2 (37%; 12,102/32,513), and relatively stable thereafter. Compared with the Midwest, the Northeast, South, and West had higher adjusted odds of AKI in P1. Subsequently, the South and West regions continued to have the highest relative AKI odds. In multivariable models, AKI defined by either serum creatinine or diagnostic code and the severity of AKI was associated with mortality.

CONCLUSIONS:

The incidence and distribution of COVID-19-associated AKI changed since the first wave of the pandemic in the United States. PODCAST This article contains a podcast at https//dts.podtrac.com/redirect.mp3/www.asn-online.org/media/podcast/CJASN/2023_08_08_CJN0000000000000192.mp3.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Injúria Renal Aguda / COVID-19 Tipo de estudo: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Injúria Renal Aguda / COVID-19 Tipo de estudo: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article