BACKGROUND: Application of cardiac troponin T (cTnT) as a marker of myocyte damage requires knowledge of its measurement variability. Using a highly sensitive assay for measurement, we evaluated the long-term storage stability of plasma cTnT at -70 °C and the sources of cTnT variability. METHODS: Samples from the Atherosclerosis Risk in Communities study collected in 1996-1998 and 2005-2006 were assayed centrally to quantify variability in cTnT attributable to processing (replicates from same blood draw, n = 87), laboratory (replicates after freeze thaw, n = 29), short-term (n = 40) and long-term biological variation (repeat visit, n = 38), and degradation in frozen storage (n = 7677). RESULTS: Approximately 30% of this population-based cohort had cTnT concentrations below the detection limit (3 ng/L). Reliability coefficients for all paired comparisons exceeded 0.93 except for samples drawn 8 years apart (r = 0.36). Sources of cTnT variation (as CVs) were: laboratory, 2.1% and 11.2% in those with and without heart failure, respectively; processing, 18.3%; biological, 16.6% at 6 weeks and 48.4% at 8 years. The reference change value at 6 weeks (68.5%) indicated that 4 samples are needed to determine a homeostatic set point within ±25%. The estimated cTnT degradation rate over the first year in long-term frozen storage was 0.36 ng/L per year. CONCLUSIONS: cTnT was detectable in approximately 70% of community-dwelling middle-aged study participants and stable in -70 °C storage. The variability in cTnT attributable to 1 freeze-thaw cycle is of small magnitude. The observed high laboratory and intraindividual (biological) reliability of cTnT support its use for population-based research, and in clinical settings that rely on classification and serial measurements.
BACKGROUND: Application of cardiac troponin T (cTnT) as a marker of myocyte damage requires knowledge of its measurement variability. Using a highly sensitive assay for measurement, we evaluated the long-term storage stability of plasma cTnT at -70 °C and the sources of cTnT variability. METHODS: Samples from the Atherosclerosis Risk in Communities study collected in 1996-1998 and 2005-2006 were assayed centrally to quantify variability in cTnT attributable to processing (replicates from same blood draw, n = 87), laboratory (replicates after freeze thaw, n = 29), short-term (n = 40) and long-term biological variation (repeat visit, n = 38), and degradation in frozen storage (n = 7677). RESULTS: Approximately 30% of this population-based cohort had cTnT concentrations below the detection limit (3 ng/L). Reliability coefficients for all paired comparisons exceeded 0.93 except for samples drawn 8 years apart (r = 0.36). Sources of cTnT variation (as CVs) were: laboratory, 2.1% and 11.2% in those with and without heart failure, respectively; processing, 18.3%; biological, 16.6% at 6 weeks and 48.4% at 8 years. The reference change value at 6 weeks (68.5%) indicated that 4 samples are needed to determine a homeostatic set point within ±25%. The estimated cTnT degradation rate over the first year in long-term frozen storage was 0.36 ng/L per year. CONCLUSIONS:cTnT was detectable in approximately 70% of community-dwelling middle-aged study participants and stable in -70 °C storage. The variability in cTnT attributable to 1 freeze-thaw cycle is of small magnitude. The observed high laboratory and intraindividual (biological) reliability of cTnT support its use for population-based research, and in clinical settings that rely on classification and serial measurements.
Authors: Y Sato; T Yamada; R Taniguchi; K Nagai; T Makiyama; H Okada; K Kataoka; H Ito; A Matsumori; S Sasayama; Y Takatsu Journal: Circulation Date: 2001-01-23 Impact factor: 29.690
Authors: K Setsuta; Y Seino; N Takahashi; T Ogawa; K Sasaki; A Harada; T Takano; H Kishida; H Hayakawa Journal: Am J Cardiol Date: 1999-09-01 Impact factor: 2.778
Authors: E M Antman; M J Tanasijevic; B Thompson; M Schactman; C H McCabe; C P Cannon; G A Fischer; A Y Fung; C Thompson; D Wybenga; E Braunwald Journal: N Engl J Med Date: 1996-10-31 Impact factor: 91.245
Authors: Till Keller; Tanja Zeller; Dirk Peetz; Stergios Tzikas; Alexander Roth; Ewa Czyz; Christoph Bickel; Stephan Baldus; Ascan Warnholtz; Meike Fröhlich; Christoph R Sinning; Medea S Eleftheriadis; Philipp S Wild; Renate B Schnabel; Edith Lubos; Nicole Jachmann; Sabine Genth-Zotz; Felix Post; Viviane Nicaud; Laurence Tiret; Karl J Lackner; Thomas F Münzel; Stefan Blankenberg Journal: N Engl J Med Date: 2009-08-27 Impact factor: 91.245
Authors: John W McEvoy; Yuan Chen; Chiadi E Ndumele; Scott D Solomon; Vijay Nambi; Christie M Ballantyne; Roger S Blumenthal; Josef Coresh; Elizabeth Selvin Journal: JAMA Cardiol Date: 2016-08-01 Impact factor: 14.676
Authors: Andrea L C Schneider; Andreea M Rawlings; A Richey Sharrett; Alvaro Alonso; Thomas H Mosley; Ron C Hoogeveen; Christie M Ballantyne; Rebecca F Gottesman; Elizabeth Selvin Journal: Eur Heart J Date: 2014-03-30 Impact factor: 29.983
Authors: Anna Fretz; Andrea L C Schneider; John W McEvoy; Ron Hoogeveen; Christie M Ballantyne; Josef Coresh; Elizabeth Selvin Journal: Am J Epidemiol Date: 2016-02-08 Impact factor: 4.897
Authors: John W McEvoy; Yuan Chen; Vijay Nambi; Christie M Ballantyne; A Richey Sharrett; Lawrence J Appel; Wendy S Post; Roger S Blumenthal; Kunihiro Matsushita; Elizabeth Selvin Journal: Circulation Date: 2015-07-07 Impact factor: 29.690
Authors: Anandita Agarwala; Salim Virani; David Couper; Lloyd Chambless; Eric Boerwinkle; Brad C Astor; Ron C Hoogeveen; Joe Coresh; A Richey Sharrett; Aaron R Folsom; Tom Mosley; Christie M Ballantyne; Vijay Nambi Journal: Atherosclerosis Date: 2016-08-25 Impact factor: 5.162
Authors: Bharat Thyagarajan; Annie Green Howard; Ramon Durazo-Arvizu; John H Eckfeldt; Marc D Gellman; Ryung S Kim; Kiang Liu; Armando J Mendez; Frank J Penedo; Gregory A Talavera; Marston E Youngblood; Lihui Zhao; Daniela Sotres-Alvarez Journal: Clin Chim Acta Date: 2016-10-15 Impact factor: 3.786
Authors: Kristian B Filion; Sunil K Agarwal; Christie M Ballantyne; Maria Eberg; Ron C Hoogeveen; Rachel R Huxley; Laura R Loehr; Vijay Nambi; Elsayed Z Soliman; Alvaro Alonso Journal: Am Heart J Date: 2014-10-22 Impact factor: 4.749
Authors: Aaron R Folsom; Pamela L Lutsey; Vijay Nambi; Christopher R deFilippi; Susan R Heckbert; Mary Cushman; Christie M Ballantyne Journal: Vasc Med Date: 2014-02 Impact factor: 3.239
Authors: Oludamilola W Oluleye; Aaron R Folsom; Vijay Nambi; Pamela L Lutsey; Christie M Ballantyne Journal: Ann Epidemiol Date: 2012-12-08 Impact factor: 3.797