Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Determination of age- and sex-specific 99th percentiles for high-sensitive troponin T from patients: An analytical imprecision- and partitioning-based approach
Department of Metabolic Biochemistry, La Pitié Salpêtrière-Charles Foix University Hospital, Paris, France.
Högskolan Väst, Institutionen för ekonomi och it, Avd för informatik. Department of Surgery, Institute of Clinical Sciences, University of Gothenburg, Scandinavian Surgical Outcomes Research Group, Sahlgrenska University Hospital, Gothenburg, Sweden.ORCID-id: 0000-0002-0575-4309
Paris Descartes University, Faculty of Pharmacy, Department of Biochemistry, Paris, France.
2018 (engelsk)Inngår i: Clinical Chemistry and Laboratory Medicine, ISSN 1434-6621, E-ISSN 1437-4331, Vol. 56, nr 5, s. 818-829Artikkel i tidsskrift (Annet vitenskapelig) Published
Abstract [en]

Detection of acute myocardial infarction (AMI) is mainly based on a rise of cardiac troponin with at least one value above the 99th percentile upper reference limit (99th URL). However, circulating high-sensitive cardiac troponin T (hs-cTnT) concentrations depend on age, sex and renal function. Using an analytical imprecision-based approach, we aimed to determine age- A nd sex-specific hs-cTnT 99th URLs for patients without chronic kidney disease (CKD). A 3.8-year retrospective analysis of a hospital laboratory database allowed the selection of adult patients with concomitant plasma hs-cTnT (<300 ng/L) and creatinine concentrations, both assayed twice within 72 h with at least 3 h between measurements. Absence of AMI was assumed when the variation between serial hs-cTnT values was below the adjusted-analytical change limit calculated according to the inverse polynomial regression of analytical imprecision. Specific URLs were determined using Clinical and Laboratory Standards Institute (CLSI) methods, and partitioning was tested using the proportion method, after adjustment for unequal prevalences. After outlier removal (men: 8.7%; women: 6.6%), 1414 men and 1082 women with estimated glomerular filtration rate (eGFR) ≥60 mL/min/1.73 m2 were assumed as non-AMI. Partitioning into age groups of 18-50, 51-70 and 71-98 years, the hs-cTnT 99th URLs adjusted on French prevalence were 18, 33, 66 and 16, 30, 84 ng/L for men and women, respectively. Age-partitioning was clearly required. However, sex-partitioning was not justified for subjects aged 18-50 and 51-70 years for whom a common hs-cTnT 99th URLs of about 17 and 31 ng/L could be used. Based on a laboratory approach, this study supports the need for age-specific hs-cTnT 99th URLs. © 2017 Walter de Gruyter GmbH.

sted, utgiver, år, opplag, sider
2018. Vol. 56, nr 5, s. 818-829
HSV kategori
Forskningsprogram
SAMHÄLLSVETENSKAP, Informatik
Identifikatorer
URN: urn:nbn:se:hv:diva-11984DOI: 10.1515/cclm-2017-0256ISI: 000429037600023Scopus ID: 2-s2.0-85037822423OAI: oai:DiVA.org:hv-11984DiVA, id: diva2:1174665
Merknad

Published Online: 2017-11-25

Tilgjengelig fra: 2018-01-16 Laget: 2018-01-16 Sist oppdatert: 2019-05-27bibliografisk kontrollert

Open Access i DiVA

Fulltekst mangler i DiVA

Andre lenker

Forlagets fulltekstScopus

Personposter BETA

Gellerstedt, Martin

Søk i DiVA

Av forfatter/redaktør
Gellerstedt, Martin
Av organisasjonen
I samme tidsskrift
Clinical Chemistry and Laboratory Medicine

Søk utenfor DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric

doi
urn-nbn
Totalt: 63 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf