Objectives: To evaluate the impact of age-and gender-specific cut-offs for high-sensitivity cardiac troponin T (hs-cTnT) compared to the general 99th percentile hs-cTnT cut-off on diagnosis and prognosis of acute myocardial infarction (AMI). Methods: 1282 unselected patients presenting to the emergency department with suspected AMI were enrolled as part of the TRAPID-AMI study. In the present sub-analysis, reclassification of AMI diagnosis was performed by comparing the general hs-cTnT cut-off of 14 ng/L to previously proposed age-and gender-dependent hs-cTnT 99th percentile cut-offs (28 ng/L for >= 65 years, 9 ng/L for female and 15.5 ng/L for male patients). Patients were further clinically adjudicated into acute coronary syndrome (ACS) and non-ACS. Results: For patients >= 65 years, application of age-specified cut-offs resulted in a decrease of AMI from 29.8% to 18.3% in the entire cohort (n = 557) and 54.7% to 40.9% in the ACS subcohort (n = 225). Using gender-specific cut-offs, AMI-rate increased from 16.6% to 22.6% (entire cohort, n = 477) and 62.6% to 71.7% (ACS subcohort, n = 99) in women, whereas in men, rates decreased from 23.1% to 21.1% (entire cohort, n = 805) and 48.8% to 45.9% (ACS, n = 281), respectively. Age-specified cut-offs significantly reclassified patients for outcomes of 1-month and 3-month mortality in the entire and ACS cohort (14.2% net reclassification improvement, p < 0.001, respectively). Contrary, no significant differences in outcomes could be found using gender-specific cut-offs. Conclusions: While influence of gender-specific hs-cTnT cut-offs on diagnostic and prognostic reclassification was only modest in patients with suspected AMI, age-specific cut-offs showed a significant impact and may be considered for further validation. (C) 2016 Elsevier Ireland Ltd. All rights reserved.

Diagnostic and prognostic implications using age- and gender-specific cut-offs for high-sensitivity cardiac troponin T - Sub-analysis from the TRAPID-AMI study

PANTEGHINI, MAURO;PLEBANI, MARIO;
2016

Abstract

Objectives: To evaluate the impact of age-and gender-specific cut-offs for high-sensitivity cardiac troponin T (hs-cTnT) compared to the general 99th percentile hs-cTnT cut-off on diagnosis and prognosis of acute myocardial infarction (AMI). Methods: 1282 unselected patients presenting to the emergency department with suspected AMI were enrolled as part of the TRAPID-AMI study. In the present sub-analysis, reclassification of AMI diagnosis was performed by comparing the general hs-cTnT cut-off of 14 ng/L to previously proposed age-and gender-dependent hs-cTnT 99th percentile cut-offs (28 ng/L for >= 65 years, 9 ng/L for female and 15.5 ng/L for male patients). Patients were further clinically adjudicated into acute coronary syndrome (ACS) and non-ACS. Results: For patients >= 65 years, application of age-specified cut-offs resulted in a decrease of AMI from 29.8% to 18.3% in the entire cohort (n = 557) and 54.7% to 40.9% in the ACS subcohort (n = 225). Using gender-specific cut-offs, AMI-rate increased from 16.6% to 22.6% (entire cohort, n = 477) and 62.6% to 71.7% (ACS subcohort, n = 99) in women, whereas in men, rates decreased from 23.1% to 21.1% (entire cohort, n = 805) and 48.8% to 45.9% (ACS, n = 281), respectively. Age-specified cut-offs significantly reclassified patients for outcomes of 1-month and 3-month mortality in the entire and ACS cohort (14.2% net reclassification improvement, p < 0.001, respectively). Contrary, no significant differences in outcomes could be found using gender-specific cut-offs. Conclusions: While influence of gender-specific hs-cTnT cut-offs on diagnostic and prognostic reclassification was only modest in patients with suspected AMI, age-specific cut-offs showed a significant impact and may be considered for further validation. (C) 2016 Elsevier Ireland Ltd. All rights reserved.
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3229556
Citazioni
  • ???jsp.display-item.citation.pmc??? 19
  • Scopus 105
  • ???jsp.display-item.citation.isi??? 96
  • OpenAlex ND
social impact