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Background: The influence of age on cardiac troponin is unclear and may vary between cardiac troponin T (cTnT) and I (cTnI). We aimed to compare the impact of age on the diagnostic and prognostic utility of cTnT and cTnI., Methods: This Danish nationwide, register-based cohort study included patients with at least one cardiac troponin (cTn) measurement from 2009 through June 2022, stratified into decades of age. We used peak cTn concentration during admission, dichotomized as positive/negative and normalized to the 99th percentile. Receiver operating characteristics for myocardial infarction (MI) and logistic regression were used to estimate the odds ratio (OR) for mortality at 1 year., Results: We included 541 817 patients; median age 66 years (interquartile range [IQR] 51-77) and 256 545 (47%) female. A total of 40 359 (7.4%) had an MI, and 59 800 (14.1%) patients died within 1 year of admission. The predictive ability of both cTns for MI were highest for patients 30 to 50 years. This was most pronounced for cTnT, the specificity of which fell from 83% among patients 40 to 49 years to 4% for patients ≥90 years. The prognostic ability of both cTns for 1-year mortality declined with age. cTnT had stronger prognostic ability for all age-groups; OR for a positive cTnT 28.4 (95% CI, 20.1-41.0) compared with 9.4 (95% CI, 5.0-16.7) for cTnI among patients <30 years., Conclusions: The predictive and prognostic ability of cTnT and cTnI declined with age. cTnT had a low specificity for MI in elderly patients. However, cTnT was the strongest prognostic marker among all age groups., (© Association for Diagnostics & Laboratory Medicine 2024. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.)

Introduction: Patients triaged as non-urgent in the emergency department constitute a diverse group with a low mortality rate assumed to be able to wait three hours for a physician. Little is known about the causes of death of non-urgent patients who die shortly after admission. We examined whether deaths among non-urgent patients were preventable., Method: Using data from the Copenhagen Triage Algorithm Study, we conducted a review of electronic medical records of all patients triaged as non-urgent who died within 30 days of presentation and constructed short summaries. These summaries were reviewed by two senior physicians who determined whether each death was expected or unexpected. The unexpected deaths were further assessed as unrelated or related to admission and if related as preventable or unpreventable. Any disagreements were settled by a third senior physician., Results: Among the patients triaged as non-urgent, 335 of 14,655 (2%) died within 30 days. When comparing biomarkers and age, the non-urgent patients resembled the patients in other triage categories who died within 30 days. Most deaths were expected or not preventable (96%). The preventable deaths (n = 13, 4%) were among older patients with comorbidities. Causes of death were sudden cardiac arrest (n = 3), infection (n = 4), kidney failure (n = 1), electrolyte derangement (n = 1) and unknown (n = 4)., Conclusion: Preventable deaths among non-urgent patients were rare and no overrepresentation was observed of specialties or diseases., Funding: Trygfonden., Clinicaltrials: gov:NCT02698319., (Published under Open Access CC-BY-NC-BD 4.0. https://creativecommons.org/licenses/by-nc-nd/4.0/.)

Aims: Guidelines do not differentiate between the available assays of cardiac troponin (cTn). We compared the prognostic and predictive ability of cTn assays., Methods and Results: This was a nationwide cohort study of patients with acute coronary syndrome (ACS) and ≥ 2 cTn measurements of one of four assays: Roche high-sensitivity cTnT (hs-cTnT), Abbott high sensitivity cTnI (hs-cTnI), Siemens Vista cTnI, and Siemens cTnI Ultra. Data were collected from Danish registries from 2009-18. Peak cTn concentration normalized to the 99th percentile was used. Outcomes were myocardial infarction (MI) during admission, one-year all-cause-, cardiovascular-, and non-cardiovascular mortality. Receiver operating characteristics and logistic regression calculating odds ratios (OR) were used. A total of 90 705 patients were included, of which 20 550 (23%) had MI. Siemens Vista cTnI was the strongest predictor of MI, Area under the curve (auc) 0.93 (95% CI 0.93-0.93). In 1 year 9012 (9.9%) of patients had died. An inverted U-shape relationship was observed between concentration of cTn and all-cause mortality. Hs-cTnT OR 21.3 (95% CI 18.4-24.8) at 2-5 times the 99th percentile and 12.1 (95% CI 10.3-14.1) for concentrations >100 times the 99th percentile. The inverted U-shape relationship was only present for non-cardiovascular mortality. The strongest predictor of cardiovascular mortality was hs-cTnT, OR 11.3 (95% CI 6.4-21.8) at 1-2 times the 99th percentile and 88.8 (95% CI 53.2-163.0) for concentrations >100 times the 99th percentile., Conclusion: Siemens Vista cTnI was the strongest predictor of MI and hs-cTnT was the strongest predictor of mortality. An inverted U-shape relationship was observed between cTn concentration and non-cardiovascular mortality., (© The Author(s) 2022. Published by Oxford University Press on behalf of the European Society of Cardiology.)