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Defining measures of kidney function in observational studies using routine health care data: methodological and reporting considerations.
Carrero, Juan Jesus; Fu, Edouard L; Vestergaard, Søren V; Jensen, Simon Kok; Gasparini, Alessandro; Mahalingasivam, Viyaasan; Bell, Samira; Birn, Henrik; Heide-Jørgensen, Uffe; Clase, Catherine M; Cleary, Faye; Coresh, Josef; Dekker, Friedo W; Gansevoort, Ron T; Hemmelgarn, Brenda R; Jager, Kitty J; Jafar, Tazeen H; Kovesdy, Csaba P; Sood, Manish M; Stengel, Bénédicte; Christiansen, Christian F; Iwagami, Masao; Nitsch, Dorothea.
Afiliação
  • Carrero JJ; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Solna, Sweden. Electronic address: juan.jesus.carrero@ki.se.
  • Fu EL; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Solna, Sweden; Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA; Department of Clinical Epidemiology, Leiden
  • Vestergaard SV; Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark; Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
  • Jensen SK; Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark; Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
  • Gasparini A; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Solna, Sweden.
  • Mahalingasivam V; Department of Non-communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.
  • Bell S; Division of Population Health and Genomics, University of Dundee, Dundee, UK.
  • Birn H; Department of Clinical Medicine, Aarhus University, Aarhus, Denmark; Department of Biomedicine, Aarhus University, Aarhus, Denmark; Department of Renal Medicine, Aarhus University Hospital, Aarhus, Denmark.
  • Heide-Jørgensen U; Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark; Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
  • Clase CM; Department of Medicine, McMaster University, Hamilton, Ontario, Canada; Department of Health Research and Methodology, McMaster University, Hamilton, Ontario, Canada.
  • Cleary F; Department of Non-communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.
  • Coresh J; Department of Epidemiology, Johns Hopkins University, Baltimore, Maryland, USA.
  • Dekker FW; Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands.
  • Gansevoort RT; Department of Nephrology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
  • Hemmelgarn BR; Department of Medicine, University of Alberta, Edmonton, Alberta, Canada.
  • Jager KJ; ERA Registry, Amsterdam UMC location University of Amsterdam, Medical Informatics, Meibergdreef, Amsterdam, Netherlands; Amsterdam Public Health Research Institute, Quality of Care, Amsterdam, the Netherlands.
  • Jafar TH; Program in Health Services and Systems Research, Duke-NUS Medical School, Singapore.
  • Kovesdy CP; Division of Nephrology, Department of Medicine, University of Tennessee Health Science Center, Memphis, Tennessee, USA.
  • Sood MM; Department of Medicine, the Ottawa Hospital Research Institute, University of Ottawa, Ottawa, Ontario, Canada.
  • Stengel B; CESP (Center for Research in Epidemiology and Population Health), Clinical Epidemiology Team, University Paris-Saclay, University Versailles-Saint Quentin, Inserm U1018, Villejuif, France.
  • Christiansen CF; Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark; Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
  • Iwagami M; Department of Non-communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK; Department of Health Services Research, University of Tsukuba, Ibaraki, Japan.
  • Nitsch D; Department of Non-communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK; Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand; UK Renal Registry, UK Kidney Association, Bristol, UK. Electronic address: Dorothea.Nitsch@lshtm.ac.uk.
Kidney Int ; 103(1): 53-69, 2023 01.
Article em En | MEDLINE | ID: mdl-36280224
ABSTRACT
The availability of electronic health records and access to a large number of routine measurements of serum creatinine and urinary albumin enhance the possibilities for epidemiologic research in kidney disease. However, the frequency of health care use and laboratory testing is determined by health status and indication, imposing certain challenges when identifying patients with kidney injury or disease, when using markers of kidney function as covariates, or when evaluating kidney outcomes. Depending on the specific research question, this may influence the interpretation, generalizability, and/or validity of study results. This review illustrates the heterogeneity of working definitions of kidney disease in the scientific literature and discusses advantages and limitations of the most commonly used approaches using 3 examples. We summarize ways to identify and overcome possible biases and conclude by proposing a framework for reporting definitions of exposures and outcomes in studies of kidney disease using routinely collected health care data.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Insuficiência Renal Crônica / Nefropatias Tipo de estudo: Observational_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Insuficiência Renal Crônica / Nefropatias Tipo de estudo: Observational_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article