Clinical chemistry
-
Recent studies show a mechanistic link between intestinal microbial metabolism of dietary phosphatidylcholine and coronary artery disease pathogenesis. Concentrations of a proatherogenic gut microbe-generated metabolite, trimethylamine N-oxide (TMAO), predict increased incident cardiovascular disease risks in multiple cohorts. TMAO concentrations are increased in patients with type 2 diabetes mellitus (T2DM), but their prognostic value and relation to glycemic control are unclear. ⋯ Fasting plasma concentrations of the proatherogenic gut microbe-generated metabolite TMAO are higher in diabetic patients and portend higher major adverse cardiac events and mortality risks independent of traditional risk factors, renal function, and relationship to glycemic control.
-
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.
-
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.