Magdalena Krintus1, Marek Kozinski2, Pascal Boudry3, Karl Lackner4, Guillaume Lefèvre5, Lieselotte Lennartz6, Johannes Lotz4, Slawomir Manysiak7, Jessie Shih8, Øyvind Skadberg9, Ahmed Taoufik Chargui5, Grazyna Sypniewska7. 1. Department of Laboratory Medicine, Nicolaus Copernicus University, Collegium Medicum in Bydgoszcz, Poland. Electronic address: krintus@wp.pl. 2. Department of Cardiology and Internal Medicine, Nicolaus Copernicus University, Collegium Medicum in Bydgoszcz, Poland. 3. Department of Clinical Biology, CHR Mons-Hainaut, Mons, Belgium. 4. Laboratory Medicine, University Medical Center, Johannes Gutenberg University Mainz, Mainz, Germany. 5. Department of Biochemistry and Hormonology, AP-HP, Hôpital Tenon, Paris, France. 6. Abbott Laboratories, Wiesbaden, Germany. 7. Department of Laboratory Medicine, Nicolaus Copernicus University, Collegium Medicum in Bydgoszcz, Poland. 8. Abbott Laboratories, Abbott Park, IL, USA. 9. Laboratory of Clinical Biochemistry, Stavanger University Hospital, Stavanger, Norway.
Abstract
OBJECTIVE: To establish and critically evaluate the 99th percentile upper reference limit (URL) for high-sensitivity cardiac troponin I (hs-cTnI) in a large healthy European cohort using different selection criteria. METHODS: 1368 presumably healthy individuals from 9 countries were evaluated with surrogate biomarkers for diabetes (glycated hemoglobin [HbA1c] < 48 mmol/mol), myocardial (B-type natriuretic peptide [BNP] < 35 pg/mL) and renal dysfunction (estimated glomerular filtration rate [eGFR] >60 mL/min/1.73 m(2)), and dyslipidemia to refine the healthy cohort. The 99th percentile URLs were independently determined by the non-parametric and robust methods. RESULTS: The use of biomarker selection criteria resulted in a decrease of the 99th percentile URL for hs-cTnI from 23.7 to 14.1 ng/L and from 11.2 to 7.1 ng/L, when using the non-parametric percentile and robust methods, respectively; a further reduction after exclusion of individuals with dyslipidemia was noted. Male gender, BNP, HbA1c and smoking status were independently associated with hs-cTnI concentration in the presumably healthy population, while the impact of age, present in the univariate analysis, decreased after adjustments for gender and surrogate biomarkers. The BNP-based inclusion criterion had the most pronounced effect on the 99th percentile URL, excluding 21% of the study participants and decreasing its value to 11.0 (7.1) ng/L according to the non-parametric (robust) method. Gender, but not age-specific, differences at 99th percentile URL have been identified. CONCLUSION: The selection of a reference population has a critical impact on the 99th percentile value for hs-cTnI. A uniform protocol for the selection of the healthy reference population is needed.
OBJECTIVE: To establish and critically evaluate the 99th percentile upper reference limit (URL) for high-sensitivity cardiac troponin I (hs-cTnI) in a large healthy European cohort using different selection criteria. METHODS: 1368 presumably healthy individuals from 9 countries were evaluated with surrogate biomarkers for diabetes (glycated hemoglobin [HbA1c] < 48 mmol/mol), myocardial (B-type natriuretic peptide [BNP] < 35 pg/mL) and renal dysfunction (estimated glomerular filtration rate [eGFR] >60 mL/min/1.73 m(2)), and dyslipidemia to refine the healthy cohort. The 99th percentile URLs were independently determined by the non-parametric and robust methods. RESULTS: The use of biomarker selection criteria resulted in a decrease of the 99th percentile URL for hs-cTnI from 23.7 to 14.1 ng/L and from 11.2 to 7.1 ng/L, when using the non-parametric percentile and robust methods, respectively; a further reduction after exclusion of individuals with dyslipidemia was noted. Male gender, BNP, HbA1c and smoking status were independently associated with hs-cTnI concentration in the presumably healthy population, while the impact of age, present in the univariate analysis, decreased after adjustments for gender and surrogate biomarkers. The BNP-based inclusion criterion had the most pronounced effect on the 99th percentile URL, excluding 21% of the study participants and decreasing its value to 11.0 (7.1) ng/L according to the non-parametric (robust) method. Gender, but not age-specific, differences at 99th percentile URL have been identified. CONCLUSION: The selection of a reference population has a critical impact on the 99th percentile value for hs-cTnI. A uniform protocol for the selection of the healthy reference population is needed.
Authors: Nick S R Lan; Damon A Bell; Kieran A McCaul; Samuel D Vasikaran; Bu B Yeap; Paul E Norman; Osvaldo P Almeida; Jonathan Golledge; Graeme J Hankey; Leon Flicker Journal: J Am Heart Assoc Date: 2019-03-05 Impact factor: 5.501
Authors: Kimia Sobhani; Diana K Nieves Castro; Qin Fu; Roberta A Gottlieb; Jennifer E Van Eyk; C Noel Bairey Merz Journal: Biol Sex Differ Date: 2018-09-17 Impact factor: 5.027