442 research outputs found
Comparison of the temporal release pattern of copeptin with conventional biomarkers in acute myocardial infarction
Background Early detection of acute myocardial infarction (AMI) using cardiac biomarkers of myocardial necrosis remains limited since these biomarkers do not rise within the first hours from onset of AMI. We aimed to compare the temporal release pattern of the C-terminal portion of provasopressin (copeptin) with conventional cardiac biomarkers, including creatine kinase isoenzyme (CK-MB), cardiac troponin T (cTnT), and high-sensitivity cTnT (hs-cTnT), in patients with ST-elevation AMI. Methods We included 145 patients undergoing successful primary percutaneous coronary intervention (PCI) for a first ST-elevation AMI presenting within 12 h of symptom onset. Blood samples were taken on admission and at four time points within the first 24 h after PCI. Results In contrast to all other markers, copeptin levels were already elevated on admission and were higher with a shorter time from symptom onset to reperfusion and lower systolic blood pressure. Copeptin levels peaked immediately after symptom onset at a maximum of 249 pmol/L and normalized within 10 h. In contrast, CK-MB, cTnT, and hs-cTnT peaked after 14 h from symptom onset at a maximum of 275 U/L, 5.75 lg/L, and 4.16 lg/L, respectively, and decreased more gradually. Conclusions Copeptin has a distinct release pattern in patients with ST-elevation AMI, peaking within the first hour after symptom onset before conventional cardiac biomarkers and falling to normal ranges within the first day. Further studies are required to determine the exact role of copeptin in AMI suspects presenting within the first hours after symptom onset
Measurement of the ratios of branching fractions and
The ratios of branching fractions
and are measured, assuming isospin symmetry, using a
sample of proton-proton collision data corresponding to 3.0 fb of
integrated luminosity recorded by the LHCb experiment during 2011 and 2012. The
tau lepton is identified in the decay mode
. The measured values are
and
, where the first uncertainty is
statistical and the second is systematic. The correlation between these
measurements is . Results are consistent with the current average
of these quantities and are at a combined 1.9 standard deviations from the
predictions based on lepton flavor universality in the Standard Model.Comment: All figures and tables, along with any supplementary material and
additional information, are available at
https://cern.ch/lhcbproject/Publications/p/LHCb-PAPER-2022-039.html (LHCb
public pages
Die Gesellschaft zum Affen in Bern
im Auftrag des Vorgesetztenkollegiums verfasst von Hans Morgenthale
Bilder aus der Àltern Geschichte der Stadt Bern
von Hans Morgenthaler ; hrsg. vom Bernischen LehrervereinBibliographie: S. 4-
The potential of optimizing prehospital triage of patients with suspected acute myocardial infarction using high-sensitivity cardiac troponin T and copeptin
PURPOSE
In patients with a suspected acute myocardial infarction (AMI), to evaluate the potential for early triage based on measurement of high-sensitivity cardiac troponin T (hs-cTnT) and copeptin in blood samples collected in the prehospital phase.
MATERIALS AND METHODS
In this retrospective study, we measured hs-cTnT and copeptin in blood samples collected in the ambulance form 962 patients with suspected AMI. The diagnostic accuracy was estimated by receiver-operating characteristic (ROC) curve area under the curve (AUC) for both biomarkers and a combined model. Multivariable Cox regression modelling was used to estimate the predictive value of both biomarkers.
RESULTS
In total, 178 (19%) cases had AMI. The AUC for hs-cTnT was 0.81. Adding copeptin increased the AUC to 0.85 (pâ=â0.004) and the combined model allowed a prehospital rule-out of 45% of cases without AMI (negative predictive value, NPV 98%). Both biomarkers are highly predictive of outcome.
CONCLUSIONS
A future application of hs-cTnT and copeptin measurement, performed already in the prehospital phase, could potentially improve the prehospital diagnostic and prognostic classification of patients with a suspected AMI
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