Critical appraisal and meta-analysis of biological variation estimates for kidney related analytes

Kidney markers are some of the most frequently used laboratory tests in patient care, and correct clinical decision making depends upon knowledge and correct application of biological variation (BV) data. The aim of this study was to review available BV data and to provide updated BV estimates for t...

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Published inClinical chemistry and laboratory medicine Vol. 60; no. 4; pp. 469 - 478
Main Authors Jonker, Niels, Aslan, Berna, Boned, Beatriz, Marqués-García, Fernando, Ricós, Carmen, Alvarez, Virtudes, Bartlett, William, Braga, Federica, Carobene, Anna, Coskun, Abdurrahman, Diaz-Garzón, Jorge, Fernández-Calle, Pilar, Gonzalez-Lao, Elisabet, Minchinela, Joana, Perich, Carmen, Simón, Margarita, Sandberg, Sverre, Aarsand, Aasne K.
Format Journal Article
LanguageEnglish
Published Germany De Gruyter 28.03.2022
Walter De Gruyter & Company
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Abstract Kidney markers are some of the most frequently used laboratory tests in patient care, and correct clinical decision making depends upon knowledge and correct application of biological variation (BV) data. The aim of this study was to review available BV data and to provide updated BV estimates for the following kidney markers in serum and plasma; albumin, creatinine, cystatin C, chloride, potassium, sodium and urea. Relevant studies were identified from a historical BV database as well as by systematic literature searches. Retrieved publications were appraised by the Biological Variation Data Critical Appraisal Checklist (BIVAC). Meta-analyses of BIVAC compliant studies with similar design were performed to deliver global estimates of within-subject (CV ) and between-subject (CV ) BV estimates. Out of the 61 identified papers, three received a BIVAC grade A, four grade B, 48 grade C, five grade D grade and one was not appraised as it did not report numerical BV estimates. Most studies were identified for creatinine (n=48). BV estimates derived from the meta-analysis were in general lower than previously reported estimates for all analytes except urea. For some measurands, BV estimates may be influenced by age or states of health, but further data are required. This review provides updated global BV estimates for kidney related measurands. For all measurands except for urea, these estimates were lower than previously reported. For the measurands analyzed in this review, there are sufficient well-designed studies available to publish a trustworthy estimate of BV. However, for a number of newly appearing kidney markers no suitable data is available and additional studies are required.
AbstractList Kidney markers are some of the most frequently used laboratory tests in patient care, and correct clinical decision making depends upon knowledge and correct application of biological variation (BV) data. The aim of this study was to review available BV data and to provide updated BV estimates for the following kidney markers in serum and plasma; albumin, creatinine, cystatin C, chloride, potassium, sodium and urea.Relevant studies were identified from a historical BV database as well as by systematic literature searches. Retrieved publications were appraised by the Biological Variation Data Critical Appraisal Checklist (BIVAC). Meta-analyses of BIVAC compliant studies with similar design were performed to deliver global estimates of within-subject (CVI) and between-subject (CVG) BV estimates. Out of the 61 identified papers, three received a BIVAC grade A, four grade B, 48 grade C, five grade D grade and one was not appraised as it did not report numerical BV estimates. Most studies were identified for creatinine (n=48). BV estimates derived from the meta-analysis were in general lower than previously reported estimates for all analytes except urea. For some measurands, BV estimates may be influenced by age or states of health, but further data are required.This review provides updated global BV estimates for kidney related measurands. For all measurands except for urea, these estimates were lower than previously reported.For the measurands analyzed in this review, there are sufficient well-designed studies available to publish a trustworthy estimate of BV. However, for a number of newly appearing kidney markers no suitable data is available and additional studies are required.
Kidney markers are some of the most frequently used laboratory tests in patient care, and correct clinical decision making depends upon knowledge and correct application of biological variation (BV) data. The aim of this study was to review available BV data and to provide updated BV estimates for the following kidney markers in serum and plasma; albumin, creatinine, cystatin C, chloride, potassium, sodium and urea. Relevant studies were identified from a historical BV database as well as by systematic literature searches. Retrieved publications were appraised by the Biological Variation Data Critical Appraisal Checklist (BIVAC). Meta-analyses of BIVAC compliant studies with similar design were performed to deliver global estimates of within-subject (CV ) and between-subject (CV ) BV estimates. Out of the 61 identified papers, three received a BIVAC grade A, four grade B, 48 grade C, five grade D grade and one was not appraised as it did not report numerical BV estimates. Most studies were identified for creatinine (n=48). BV estimates derived from the meta-analysis were in general lower than previously reported estimates for all analytes except urea. For some measurands, BV estimates may be influenced by age or states of health, but further data are required. This review provides updated global BV estimates for kidney related measurands. For all measurands except for urea, these estimates were lower than previously reported. For the measurands analyzed in this review, there are sufficient well-designed studies available to publish a trustworthy estimate of BV. However, for a number of newly appearing kidney markers no suitable data is available and additional studies are required.
Kidney markers are some of the most frequently used laboratory tests in patient care, and correct clinical decision making depends upon knowledge and correct application of biological variation (BV) data. The aim of this study was to review available BV data and to provide updated BV estimates for the following kidney markers in serum and plasma; albumin, creatinine, cystatin C, chloride, potassium, sodium and urea.OBJECTIVESKidney markers are some of the most frequently used laboratory tests in patient care, and correct clinical decision making depends upon knowledge and correct application of biological variation (BV) data. The aim of this study was to review available BV data and to provide updated BV estimates for the following kidney markers in serum and plasma; albumin, creatinine, cystatin C, chloride, potassium, sodium and urea.Relevant studies were identified from a historical BV database as well as by systematic literature searches. Retrieved publications were appraised by the Biological Variation Data Critical Appraisal Checklist (BIVAC). Meta-analyses of BIVAC compliant studies with similar design were performed to deliver global estimates of within-subject (CVI) and between-subject (CVG) BV estimates. Out of the 61 identified papers, three received a BIVAC grade A, four grade B, 48 grade C, five grade D grade and one was not appraised as it did not report numerical BV estimates. Most studies were identified for creatinine (n=48). BV estimates derived from the meta-analysis were in general lower than previously reported estimates for all analytes except urea. For some measurands, BV estimates may be influenced by age or states of health, but further data are required.CONTENTRelevant studies were identified from a historical BV database as well as by systematic literature searches. Retrieved publications were appraised by the Biological Variation Data Critical Appraisal Checklist (BIVAC). Meta-analyses of BIVAC compliant studies with similar design were performed to deliver global estimates of within-subject (CVI) and between-subject (CVG) BV estimates. Out of the 61 identified papers, three received a BIVAC grade A, four grade B, 48 grade C, five grade D grade and one was not appraised as it did not report numerical BV estimates. Most studies were identified for creatinine (n=48). BV estimates derived from the meta-analysis were in general lower than previously reported estimates for all analytes except urea. For some measurands, BV estimates may be influenced by age or states of health, but further data are required.This review provides updated global BV estimates for kidney related measurands. For all measurands except for urea, these estimates were lower than previously reported.SUMMARYThis review provides updated global BV estimates for kidney related measurands. For all measurands except for urea, these estimates were lower than previously reported.For the measurands analyzed in this review, there are sufficient well-designed studies available to publish a trustworthy estimate of BV. However, for a number of newly appearing kidney markers no suitable data is available and additional studies are required.OUTLOOKFor the measurands analyzed in this review, there are sufficient well-designed studies available to publish a trustworthy estimate of BV. However, for a number of newly appearing kidney markers no suitable data is available and additional studies are required.
Author Jonker, Niels
Aslan, Berna
Marqués-García, Fernando
Coskun, Abdurrahman
Carobene, Anna
Gonzalez-Lao, Elisabet
Diaz-Garzón, Jorge
Fernández-Calle, Pilar
Braga, Federica
Minchinela, Joana
Simón, Margarita
Boned, Beatriz
Alvarez, Virtudes
Ricós, Carmen
Bartlett, William
Sandberg, Sverre
Perich, Carmen
Aarsand, Aasne K.
AuthorAffiliation Norwegian Organization for Quality Improvement of Laboratory Examinations (NOKLUS), Haraldsplass Deaconess Hospital, Bergen, Norway
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  surname: Aslan
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  organization: Institute for Quality Management in Healthcare (IQMH), Centre for Proficiency Testing, Toronto, Ontario, Canada
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  organization: Royo Villanova Hospital, Zaragoza, Spain
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  orcidid: 0000-0003-3562-7180
  surname: Braga
  fullname: Braga, Federica
  organization: Research Centre for Metrological Traceability in Laboratory Medicine (CIRME), University of Milan, Milan, Italy
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  surname: Carobene
  fullname: Carobene, Anna
  organization: Servizio Medicina di Laboratorio, Ospedale San Raffaele, Milan, Italy
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  givenname: Abdurrahman
  surname: Coskun
  fullname: Coskun, Abdurrahman
  organization: Acibadem Mehmet Ali Aydınlar University, School of Medicine, Atasehir, Istanbul, Turkey
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  surname: Diaz-Garzón
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  organization: Department of Laboratory Medicine, La Paz University Hospital, Madrid, Spain
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  givenname: Pilar
  surname: Fernández-Calle
  fullname: Fernández-Calle, Pilar
  organization: Department of Laboratory Medicine, La Paz University Hospital, Madrid, Spain
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  fullname: Perich, Carmen
  organization: Spanish Society of Laboratory Medicine (SEQCML), Analytical Quality Commission, Barcelona, Spain
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  givenname: Margarita
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  fullname: Simón, Margarita
  organization: Consortium of Laboratory Intercomarcal Alt Penedès and Garraf l’Anoia, Vilafranca del Penedès, Spain
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  surname: Sandberg
  fullname: Sandberg, Sverre
  organization: Department of Global Health and Primary Care, Faculty of Medicine, University of Bergen, Bergen, Norway
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  givenname: Aasne K.
  surname: Aarsand
  fullname: Aarsand, Aasne K.
  organization: Norwegian Organization for Quality Improvement of Laboratory Examinations (NOKLUS), Haraldsplass Deaconess Hospital, Bergen, Norway
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Cites_doi 10.1201/9781482277142
10.1007/s00421-010-1493-8
10.1515/cclm-2014-1127
10.1515/CCLM.2006.017
10.1093/clinchem/17.5.403
10.3109/10408368909106595
10.1515/cclm-2016-0973
10.1007/978-0-8176-8168-5
10.1373/clinchem.2017.275115
10.1515/cclm-2012-0701
10.1373/clinchem.2017.281808
10.1373/clinchem.2018.288415
10.1080/00365519950185229
10.1007/978-1-4612-0795-5_1
10.1373/clinchem.2015.250993
10.1373/clinchem.2019.304618
10.1515/cclm-2014-0739
10.1373/clinchem.2016.260117
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Keywords cystatin C
creatinine
biological variation
albumin
meta-analysis
analytical performance specifications
electrolytes
kidney markers
urea
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References 2022033122424006303_j_cclm_2020-1168_ref_001
2022033122424006303_j_cclm_2020-1168_ref_023
2022033122424006303_j_cclm_2020-1168_ref_002
2022033122424006303_j_cclm_2020-1168_ref_024
2022033122424006303_j_cclm_2020-1168_ref_003
2022033122424006303_j_cclm_2020-1168_ref_025
2022033122424006303_j_cclm_2020-1168_ref_004
2022033122424006303_j_cclm_2020-1168_ref_005
2022033122424006303_j_cclm_2020-1168_ref_006
2022033122424006303_j_cclm_2020-1168_ref_007
2022033122424006303_j_cclm_2020-1168_ref_008
2022033122424006303_j_cclm_2020-1168_ref_020
2022033122424006303_j_cclm_2020-1168_ref_021
2022033122424006303_j_cclm_2020-1168_ref_022
2022033122424006303_j_cclm_2020-1168_ref_012
2022033122424006303_j_cclm_2020-1168_ref_013
2022033122424006303_j_cclm_2020-1168_ref_014
2022033122424006303_j_cclm_2020-1168_ref_015
2022033122424006303_j_cclm_2020-1168_ref_016
2022033122424006303_j_cclm_2020-1168_ref_017
2022033122424006303_j_cclm_2020-1168_ref_018
2022033122424006303_j_cclm_2020-1168_ref_019
2022033122424006303_j_cclm_2020-1168_ref_010
2022033122424006303_j_cclm_2020-1168_ref_011
2022033122424006303_j_cclm_2020-1168_ref_009
References_xml – ident: 2022033122424006303_j_cclm_2020-1168_ref_010
  doi: 10.1201/9781482277142
– ident: 2022033122424006303_j_cclm_2020-1168_ref_017
  doi: 10.1007/s00421-010-1493-8
– ident: 2022033122424006303_j_cclm_2020-1168_ref_008
  doi: 10.1515/cclm-2014-1127
– ident: 2022033122424006303_j_cclm_2020-1168_ref_004
  doi: 10.1515/CCLM.2006.017
– ident: 2022033122424006303_j_cclm_2020-1168_ref_024
  doi: 10.1093/clinchem/17.5.403
– ident: 2022033122424006303_j_cclm_2020-1168_ref_021
  doi: 10.3109/10408368909106595
– ident: 2022033122424006303_j_cclm_2020-1168_ref_025
  doi: 10.1515/cclm-2016-0973
– ident: 2022033122424006303_j_cclm_2020-1168_ref_006
– ident: 2022033122424006303_j_cclm_2020-1168_ref_002
– ident: 2022033122424006303_j_cclm_2020-1168_ref_011
  doi: 10.1007/978-0-8176-8168-5
– ident: 2022033122424006303_j_cclm_2020-1168_ref_013
  doi: 10.1373/clinchem.2017.275115
– ident: 2022033122424006303_j_cclm_2020-1168_ref_022
  doi: 10.1373/clinchem.2017.275115
– ident: 2022033122424006303_j_cclm_2020-1168_ref_016
  doi: 10.1515/cclm-2012-0701
– ident: 2022033122424006303_j_cclm_2020-1168_ref_007
  doi: 10.1373/clinchem.2017.281808
– ident: 2022033122424006303_j_cclm_2020-1168_ref_014
  doi: 10.1373/clinchem.2018.288415
– ident: 2022033122424006303_j_cclm_2020-1168_ref_009
– ident: 2022033122424006303_j_cclm_2020-1168_ref_005
  doi: 10.1080/00365519950185229
– ident: 2022033122424006303_j_cclm_2020-1168_ref_023
– ident: 2022033122424006303_j_cclm_2020-1168_ref_012
  doi: 10.1007/978-1-4612-0795-5_1
– ident: 2022033122424006303_j_cclm_2020-1168_ref_018
  doi: 10.1373/clinchem.2015.250993
– ident: 2022033122424006303_j_cclm_2020-1168_ref_015
  doi: 10.1373/clinchem.2019.304618
– ident: 2022033122424006303_j_cclm_2020-1168_ref_003
– ident: 2022033122424006303_j_cclm_2020-1168_ref_001
– ident: 2022033122424006303_j_cclm_2020-1168_ref_020
  doi: 10.1515/cclm-2014-0739
– ident: 2022033122424006303_j_cclm_2020-1168_ref_019
  doi: 10.1373/clinchem.2016.260117
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Snippet Kidney markers are some of the most frequently used laboratory tests in patient care, and correct clinical decision making depends upon knowledge and correct...
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SubjectTerms albumin
Albumins
analytical performance specifications
Biological analysis
Biological variation
Biomarkers
Creatinine
Cystatin C
Decision making
electrolytes
Estimates
Humans
Kidney
kidney markers
Kidneys
Laboratory tests
Literature reviews
Markers
Meta-analysis
Urea
Variation
Title Critical appraisal and meta-analysis of biological variation estimates for kidney related analytes
URI https://www.degruyter.com/doi/10.1515/cclm-2020-1168
https://www.ncbi.nlm.nih.gov/pubmed/32970605
https://www.proquest.com/docview/2635792472
https://www.proquest.com/docview/2446665201
Volume 60
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