BNP PROGNOSTIC VALUE TO ASSESS VENTRICLE FUNCTION IN THE CHRONIC RENAL FAILURE PATIENTS (ORAL PRESENTATIONS: O105)

Introduction. The synthesis of B-type natriuretic peptide (BNP) occurs mainly from myocytes in cardiac ventricles in response to excessive cardiac ventricular wall distension. Since the level of BNP increases in the heart failure patients, elevated plasma BNP concentration is used as a predictor in the diagnosis and management of heart failure. BNP is a useful predictive value in development, wide spreading, and prognosis of heart failure patients. Use of BNP as a prognostic value for dyspnea in the emergency departments can be costeffective and improves clinical outcomes. Due to the renal clearance of BNP, its level is above normal in the patients with renal failure. The present study evaluates the BNP prognostic value for assessing ventricular function in the chronic renal failure patients.
Methods. All the participants covered in the study were those with renal failure. Echocardiography was employed to assess levels of BMI, CR, and BNP for all the patients. Age and sex were also included and finally, while statistical analysis was available, BNP prognostic value was used in order to assess ventricular function in the chronic renal failure patients. Subjects with level of BNP above 5000 ng/ml were excluded from the study.
Results. A total of 44 patients including 34 males and 10 females were entered into the study. Level of BNP had a positive correlation to levels of BMI and EF, while it showed a negative correlation with age and sex. We found a sensitivity and specificity for BNP = 150 ng/ml and BNP = 705 ng/ml of 93.3% and 28.6% and 50% and 85.7%, respectively for the diagnosis of health or disorder of ventricular function in the renal failure patients.
Conclusion. The findings suggest that level of BNP can be an appropriate predictive factor for the rate of heart failure in the renal failure patients. BNP of 705 ng/ml seems to be rather acceptable; however, BNP of 150 ng/ml, being identified in most of studies, seems to have poor specificity despite its elevated sensitivity. Of course the participants’ height and weight were contributed to this.