Background: Current guidelines for the diagnosis of acute myocardial infarction (AMI), among other criteria, also require a rise and/or fall in cardiac troponin (cTn) levels. It is unknown whether absolute or relative changes in cTn have higher diagnostic accuracy and should therefore be preferred.
Methods And Results: In a prospective, observational, multicenter study, we analyzed the diagnostic accuracy of absolute (Δ) and relative (Δ%) changes in cTn in 836 patients presenting to the emergency department with symptoms suggestive of AMI. Blood samples for the determination of high-sensitive cTn T and cTn I ultra were collected at presentation and after 1 and 2 hours in a blinded fashion. The final diagnosis was adjudicated by 2 independent cardiologists. The area under the receiver operating characteristic curve for diagnosing AMI was significantly higher for 2-hour absolute (Δ) versus 2-hour relative (Δ%) cTn changes (area under the receiver operating characteristic curve [95% confidence interval], high-sensitivity cTn T: 0.95 [0.92 to 0.98] versus 0.76 [0.70 to 0.83], P<0.001; cTn I ultra: 0.95 [0.91 to 0.99] versus 0.72 [0.66 to 0.79], P<0.001). The receiver operating characteristic curve-derived cutoff value for 2-hour absolute (Δ) change was 0.007 μg/L for high-sensitivity cTn T and 0.020 μg/L for cTn I ultra (both cutoff levels are half of the 99th percentile of the respective cTn assay). Absolute changes were superior to relative changes in patients with both low and elevated baseline cTn levels.
Conclusions: Absolute changes of cTn levels have a significantly higher diagnostic accuracy for AMI than relative changes, and seem therefore to be the preferred criteria to distinguish AMI from other causes of cTn elevations.
Clinical Trial Registration: URL: http://www.clinicaltrials.gov. UNIQUE IDENTIFIER: NCT00470587.
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http://dx.doi.org/10.1161/CIRCULATIONAHA.111.023937 | DOI Listing |
Arch Dermatol Res
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Epiphany Dermatology, Dallas, TX, USA.
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Department of Physical Performance, Norwegian School of Sport Sciences, Oslo, Norway.
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View Article and Find Full Text PDFZhongguo Dang Dai Er Ke Za Zhi
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Implement Sci Commun
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Center for Health Equity Research, School of Medicine, University of North Carolina at Chapel Hill, 333 South Columbia Street, MacNider Hall Ste 323, Chapel Hill, NC, 27599, USA.
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January 2025
Departamento de Agronomia e Ciências Florestais, Universidade Federal Rural do Semi-Árido, Mossoró, AV. Francisco Mota, 572 - Pres. Costa E Silva, Mossoró - RN, 59625-900, Rio Grande do Norte, Brazil. Electronic address:
Generally, herbicides used in Brazil follow manufacturer's recommendations, which often do not consider soil attributes. Statistical models that include the physicochemical properties of the soil involved in herbicide retention processes could enable greater precision in herbicide dose decision-making. This study evaluated the potential of artificial neural networks (ANNs) to predict the sorption and desorption of the herbicide linuron in Brazilian soils with different attributes.
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