Defining measures of kidney function in observational studies using routine health care data: methodological and reporting considerations

被引：35

作者：

Carrero, Juan Jesus ^{[1
]}

Fu, Edouard L. ^{[1
,2
,3
,4
]}

Vestergaard, Soren V. ^{[5
,6
]}

Jensen, Simon Kok ^{[5
,6
]}

Gasparini, Alessandro ^{[1
]}

Mahalingasivam, Viyaasan ^{[7
]}

Bell, Samira ^{[8
]}

Birn, Henrik ^{[6
,9
,10
]}

Heide-Jorgensen, Uffe ^{[5
,6
]}

Clase, Catherine M. ^{[11
,12
]}

Cleary, Faye ^{[7
]}

Coresh, Josef ^{[13
]}

Dekker, Friedo W. ^{[4
]}

Gansevoort, Ron T. ^{[14
]}

Hemmelgarn, Brenda R. ^{[15
]}

Jager, Kitty J. ^{[16
,17
]}

Jafar, Tazeen H. ^{[18
]}

Kovesdy, Csaba P. ^{[19
]}

Sood, Manish M. ^{[20
]}

Stengel, Benedicte ^{[21
]}

Christiansen, Christian F. ^{[5
,6
]}

Iwagami, Masao ^{[7
,22
]}

Nitsch, Dorothea ^{[7
,23
,24
]}

机构：

[1] Karolinska Inst, Dept Med Epidemiol & Biostat, Nobels Vag 12A,Box 281, S-17177 Solna, Sweden

[2] Brigham & Womens Hosp, Dept Med, Div Pharmacoepidemiol & Pharmacoecon, Boston, MA USA

[3] Harvard Med Sch, Boston, MA USA

[4] Leiden Univ, Dept Clin Epidemiol, Med Ctr, Leiden, Netherlands

[5] Aarhus Univ Hosp, Dept Clin Epidemiol, Aarhus, Denmark

[6] Aarhus Univ, Dept Clin Med, Aarhus, Denmark

[7] London Sch Hyg & Trop Med, Dept Noncommunicable Dis Epidemiol, London, England

[8] Univ Dundee, Div Populat Hlth & Genom, Dundee, Scotland

[9] Aarhus Univ, Dept Biomed, Aarhus, Denmark

[10] Aarhus Univ Hosp, Dept Renal Med, Aarhus, Denmark

[11] McMaster Univ, Dept Med, Hamilton, ON, Canada

[12] McMaster Univ, Dept Hlth Res & Methodol, Hamilton, ON, Canada

[13] Johns Hopkins Univ, Dept Epidemiol, Baltimore, MD USA

[14] Univ Groningen, Univ Med Ctr Groningen, Dept Nephrol, Groningen, Netherlands

[15] Univ Alberta, Dept Med, Edmonton, AB, Canada

[16] Amsterdam UMC locat Univ Amsterdam, ERA Registry, Med Informat, Amsterdam, Netherlands

[17] Amsterdam Publ Hlth Res Inst, Qual Care, Amsterdam, Netherlands

[18] Duke NUS Med Sch, Program Hlth Serv & Syst Res, Singapore, Singapore

[19] Univ Tennessee, Dept Med, Div Nephrol, Hlth Sci Ctr, Memphis, TN USA

[20] Univ Ottawa, Ottawa Hosp Res Inst, Dept Med, Ottawa, ON, Canada

[21] Univ Paris Saclay, Univ Versailles St Quentin, CESP Ctr Res Epidemiol & Populat Hlth, Clin Epidemiol Team,Inserm U1018, Villejuif, France

[22] Univ Tsukuba, Dept Hlth Serv Res, Tsukuba, Ibaraki, Japan

[23] Chiang Mai Univ, Fac Med, Chiang Mai, Thailand

[24] UK Kidney Assoc, UK Renal Registry, Bristol, England

来源：

KIDNEY INTERNATIONAL | 2023年 / 103卷 / 01期

基金：

美国国家卫生研究院; 英国医学研究理事会; 瑞典研究理事会;

关键词：

albuminuria; chronic kidney disease (CKD); creatinine; epide-miology; estimated glomerular filtration rate (eGFR); routinely collected health care data; LINE SERUM CREATININE; CLINICAL-TRIALS; MULTIPLE IMPUTATION; RENAL DYSFUNCTION; INJURY; DISEASE; CKD; OUTCOMES; CLASSIFICATION; RISK;

D O I：

10.1016/j.kint.2022.09.020

中图分类号：

R5 [内科学]; R69 [泌尿科学（泌尿生殖系疾病）];

学科分类号：

1002 ; 100201 ;

摘要：

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.

引用

页码：53 / 69

页数：17

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