Clinical chemistry
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Multicenter Study Comparative Study
Direct Comparison of 2 Rule-Out Strategies for Acute Myocardial Infarction: 2-h Accelerated Diagnostic Protocol vs 2-h Algorithm.
We compared 2 high-sensitivity cardiac troponin (hs-cTn)-based 2-h strategies in patients presenting with suspected acute myocardial infarction (AMI) to the emergency department (ED): the 2-h accelerated diagnostic protocol (2h-ADP) combining hs-cTn, electrocardiogram, and a risk score, and the 2-h algorithm exclusively based on hs-cTn concentrations and their absolute changes. ⋯ APACE: http://clinicaltrials.gov/show/NCT00470587ADAPT: Australia-New Zealand Clinical Trials Registry ACTRN12611001069943.
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Roadside oral fluid (OF) Δ9-tetrahydrocannabinol (THC) detection indicates recent cannabis intake. OF and blood THC pharmacokinetic data are limited and there are no on-site OF screening performance evaluations after controlled edible cannabis. ⋯ OF THC maximum concentrations (Cmax) were similar in frequent as compared to occasional smokers, while blood THC Cmax were higher in frequent [mean (range) 17.7 (8.0-36.1) μg/L] smokers compared to occasional [8.2 (3.2-14.3) μg/L] smokers. Minor cannabinoids Δ9-tetrahydrocannabivarin and cannabigerol were never detected in blood, and not in OF by 5 or 8 h, respectively, with 0.3 μg/L cutoffs. Recommended performance (analytical sensitivity, specificity, and efficiency) criteria for screening devices of ≥80% are difficult to meet when maximizing true positive (TP) results with confirmation cutoffs below the screening cutoff. TPs were greatest with OF confirmation cutoffs of THC ≥1 and ≥2 μg/L, but analytical sensitivities were <80% due to false negative tests arising from confirmation cutoffs below the DT5000 and DDS2 screening cutoffs; all criteria were >80% with an OF THC ≥5 μg/L cutoff. Performance criteria also were >80% with a blood THC ≥5 μg/L confirmation cutoff; however, positive OF screening results might not confirm due to the time required to collect blood after a crash or police stop. OF confirmation is recommended for roadside OF screening.ClinicalTrials.gov identification number: NCT02177513.
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Randomized Controlled Trial
Biomarkers and Coronary Lesions Predict Outcomes after Revascularization in Non-ST-Elevation Acute Coronary Syndrome.
Risk stratification in non-ST-elevation acute coronary syndrome (NSTE-ACS) is currently mainly based on clinical characteristics. With routine invasive management, angiography findings and biomarkers are available and may improve prognostication. We aimed to assess if adding biomarkers [high-sensitivity cardiac troponin T (cTnT-hs), N-terminal probrain-type natriuretic peptide (NT-proBNP), growth differentiation factor 15 (GDF-15)] and extent of coronary artery disease (CAD) might improve prognostication in revascularized patients with NSTE-ACS. ⋯ In revascularized patients with NSTE-ACS, the extent of CAD and concentrations of NT-proBNP and GDF-15 independently improve prognostication of CVD/spontaneous MI and CVD alone. This information may be useful for selection of patients who might benefit from more intense and/or prolonged antithrombotic treatment. ClinicalTrials.gov Identifier: NCT00391872.
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Multicenter Study
Rule-In and Rule-Out of Myocardial Infarction Using Cardiac Troponin and Glycemic Biomarkers in Patients with Symptoms Suggestive of Acute Coronary Syndrome.
Early rule-in/rule-out of myocardial infarction (MI) in patients presenting to the emergency department (ED) is important for patient care and resource allocation. Given that dysglycemia is a strong risk factor for MI, we sought to explore and compare different combinations of cardiac troponin (cTn) cutoffs with glycemic markers for the early rule-in/rule-out of MI. ⋯ Algorithms incorporating glucose with cTn may lead to an earlier MI diagnosis and rule-out for MI/cardiovascular death. Addition of Hb A1c into these algorithms allows for identification of diabetes. Future studies extending these findings are needed for ACS/cardiovascular death. ClinicalTrials.gov identifier: NCT01994577.
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Pulmonary embolism (PE) is associated with high all-cause and PE-related mortality and requires individualized management. After confirmation of PE, a refined risk stratification is particularly warranted among normotensive patients. Previous prognostic models favored combinations of echocardiography or computed tomography suggestive of right ventricular (RV) dysfunction together with biomarkers of RV dysfunction (natriuretic peptides) or myocardial injury (cardiac troponins) to identify candidates for thrombolysis or embolectomy. In contrast, current predictive models using clinical scores such as the Pulmonary Embolism Severity Index (PESI) or its simplified version (sPESI) rather seek to identify patients, not only those at higher risk requiring observation for early detection of hemodynamic decompensation, and the need for initiation of rescue reperfusion therapy, but also those at low risk qualifying for early discharge and outpatient treatment. Almost all prediction models advocate the additional measurement of biomarkers along with imaging of RV dysfunction as part of a comprehensive algorithm. ⋯ Ideally, biomarkers should be part of a comprehensive risk stratification algorithm used together with clinical risk scores as a basis, and/or imaging. For this purpose, cardiac troponins, including high-sensitivity troponin generations, natriuretic peptides, and h-FABP (heart-type fatty acid-binding protein) are currently recommended in guidelines. There is emerging evidence for several novel biomarkers that require further validation before being applied in clinical practice.