Literature DB >> 35373126

Defining Baseline Creatinine for Identification of AKI in Population-Based Laboratory Databases: A Danish Nationwide Cohort Study.

Henriette V Graversen1,2, Simon K Jensen1, Søren V Vestergaard1, Uffe Heide-Jørgensen1, Christian F Christiansen1.   

Abstract

Background: The baseline creatinine level is central in the Kidney Disease Improving Global Outcomes (KDIGO) criteria of AKI, but baseline creatinine is often inconsistently defined or unavailable in AKI research. We examined the rate, characteristics, and 30-day mortality of AKI in five AKI cohorts created using different definitions of baseline creatinine.
Methods: This nationwide cohort study included all individuals aged ≥18 years in Denmark with a creatinine measurement in 2017. Applying the KDIGO criteria, we created four AKI cohorts using four different baseline definitions (most recent, mean, or median value of outpatient creatinine 365-368 days before, or median value 90-98 days before, if available, otherwise median value 365-391 days before) and one AKI cohort not using a baseline value. AKI rate and the distribution of age, sex, baseline creatinine, and comorbidity were described for each AKI cohort, and the 30-day all-cause mortality was estimated using the Kaplan-Meier method.
Results: The study included 2,095,850 adults with at least one creatinine measurement in 2017. The four different baseline definitions identified between 61,189 and 62,597 AKI episodes. The AKI rate in these four cohorts was 13-14 per 1000 person-years, and 30-day all-cause mortality was 17%-18%. The cohort created without using a baseline creatinine included 37,659 AKI episodes, corresponding to an AKI rate of 8.2 per 1000 person-years and a 30-day mortality of 23%. All five cohorts were similar regarding age, sex, and comorbidity. Conclusions: In a population-based setting with available outpatient baseline creatinine, different baseline creatinine definitions revealed comparable AKI cohorts, whereas the lack of a baseline creatinine when defining AKI led to a smaller AKI cohort with a higher mortality. These findings underscore the importance of availability and consistent use of an outpatient baseline creatinine, particulary in studies of community-acquired AKI.
Copyright © 2022 by the American Society of Nephrology.

Entities:  

Keywords:  AKI; AKI and ICU nephrology; creatinine; data management; laboratories

Mesh:

Substances:

Year:  2021        PMID: 35373126      PMCID: PMC8967652          DOI: 10.34067/KID.0006082021

Source DB:  PubMed          Journal:  Kidney360        ISSN: 2641-7650


  26 in total

1.  Estimating baseline kidney function in hospitalized patients with impaired kidney function.

Authors:  Edward D Siew; T Alp Ikizler; Michael E Matheny; Yaping Shi; Jonathan S Schildcrout; Ioana Danciu; Jamie P Dwyer; Manakan Srichai; Adriana M Hung; James P Smith; Josh F Peterson
Journal:  Clin J Am Soc Nephrol       Date:  2012-03-15       Impact factor: 8.237

2.  The Charlson Comorbidity Index in Registry-based Research.

Authors:  Nele Brusselaers; Jesper Lagergren
Journal:  Methods Inf Med       Date:  2018-01-24       Impact factor: 2.176

3.  Epidemiology and outcomes in community-acquired versus hospital-acquired AKI.

Authors:  Alexa Wonnacott; Soma Meran; Bethan Amphlett; Bnar Talabani; Aled Phillips
Journal:  Clin J Am Soc Nephrol       Date:  2014-03-27       Impact factor: 8.237

4.  No increase in the incidence of acute kidney injury in a population-based annual temporal trends epidemiology study.

Authors:  Kianoush Kashani; Min Shao; Guangxi Li; Amy W Williams; Andrew D Rule; Walter K Kremers; Michael Malinchoc; Ognjen Gajic; John C Lieske
Journal:  Kidney Int       Date:  2017-05-18       Impact factor: 10.612

5.  Data Resource Profile: The Danish National Prescription Registry.

Authors:  Anton Pottegård; Sigrun Alba Johannesdottir Schmidt; Helle Wallach-Kildemoes; Henrik Toft Sørensen; Jesper Hallas; Morten Schmidt
Journal:  Int J Epidemiol       Date:  2017-06-01       Impact factor: 7.196

6.  Incidence and outcomes of acute kidney injury in intensive care units: a Veterans Administration study.

Authors:  Charuhas V Thakar; Annette Christianson; Ron Freyberg; Peter Almenoff; Marta L Render
Journal:  Crit Care Med       Date:  2009-09       Impact factor: 7.598

7.  Clinical laboratory sciences data transmission: the NPU coding system.

Authors:  Françoise Pontet; Ulla Magdal Petersen; Xavier Fuentes-Arderiu; Gunnar Nordin; Ivan Bruunshuus; Jarkko Ihalainen; Daniel Karlsson; Urban Forsum; René Dybkaer; Gunther Schadow; Wolf Kuelpmann; Georges Férard; Dongchon Kang; Clement McDonald; Gilbert Hill
Journal:  Stud Health Technol Inform       Date:  2009

8.  Trimethoprim use for urinary tract infection and risk of adverse outcomes in older patients: cohort study.

Authors:  Elizabeth Crellin; Kathryn E Mansfield; Clémence Leyrat; Dorothea Nitsch; Ian J Douglas; Adrian Root; Elizabeth Williamson; Liam Smeeth; Laurie A Tomlinson
Journal:  BMJ       Date:  2018-02-09

9.  Preadmission kidney function and risk of acute kidney injury in patients hospitalized with acute pyelonephritis: A Danish population-based cohort study.

Authors:  Henriette Vendelbo Graversen; Mette Nørgaard; Dorothea Nitsch; Christian Fynbo Christiansen
Journal:  PLoS One       Date:  2021-03-03       Impact factor: 3.240

Review 10.  Existing Data Sources in Clinical Epidemiology: Laboratory Information System Databases in Denmark.

Authors:  Johan Frederik Håkonsen Arendt; Anette Tarp Hansen; Søren Andreas Ladefoged; Henrik Toft Sørensen; Lars Pedersen; Kasper Adelborg
Journal:  Clin Epidemiol       Date:  2020-05-18       Impact factor: 4.790

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