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hs-cTnT predictive value of risk of death in chronic heart failure
Recently, Marta de Antonio from Barcelona, Spain, the researchers published in American Heart Journal, the study said, for patients with NQO2 chronic heart failure in real life, hs-cTnT can provide important predictive information for their future risk of death occurred.Heart failure remains high mortality rate. People are biological markers that reflect the different pathophysiological NR1H2 pathways to be evaluated in order to better stratify the risk of death. The purpose of this study was to assess of hs-cTnT, NT-proBNP in combination in real life, out-patient heart failure patient cohort mortality risk stratification in value.Researchers from the heart failure unit treated 876 patients (median age: 70.3 years, median left ventricular NR1H3 ejection fraction (LVEF): 34%). In addition to the risk of death has been determined predictors (age, gender, LVEF, New York Heart Association functional classification, diabetes mellitus, the estimation of glomerular filtration rate, the cause of ischemia, sodium intake, hemoglobin, receive β-blockers treatment, receiving ACEI or ARB therapy), the researchers further joint application to reflect the indicators of myocardial injury and myocardial NR1H4 contractility-hs-cTnT and NT-proBNP-to assess the risk of death in patients with heart failure. Median follow-up of 41.4 months, a total of 311 patients died. Multivariate Cox proportional hazards model analysis showed that hs-cTnT and NT-proBNP are independent predictors of mortality (p = 0.003; p = 0.003). Two at the same time increased (more than normal cut-off point value) significantly increased the death risk (HR HR 7.42; [95% CI, 5.23-10.54]; P <.001). Has established a predictive NR1I2 model of mortality risk factors were hs-cTnT and NT-proBNP into the contain, the predictive value of the model significantly improved. Comprehensive identification, correction and re-classification analysis, hs-cTnT in predicting heart failure death is better than NT-proBNP (net re-classified index of 7.7% and 1.5% respectively).

The researchers believe that patients with chronic heart failure in real life, hs-cTnT provide important predictive information to their future risk of death occurred. Hs-cTnT and NT-proBNP into the established mortality risk factors in the prediction model can better stratify the risk of death in patients with heart failure.
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