Sangram Biradar 1 , Janardhana Surapaneni 2 , Rahul Ladda
BACKGROUND Early identification of Heart Failure as a post MI complication is very important in a clinical setting. Particularly in a resource strapped environment such as a centre in a remote district. Our study aims to study levels of NT-pro BNP in Systolic Heart Failure consequential to Ischaemic Heart Disease, the correlation between the levels of NT-pro BNP and Systolic Heart Failure consequential to Ischaemic Heart Disease and study the risk factors in patients presenting with Heart Failure consequential to Ischaemic Heart Disease and their correlation to NT-proBNP Levels if any is present. MATERIALS AND METHODS 100 patients admitted into Basaveshwar Teaching and General Hospital Attached to M.R. Medical College diagnosed with Systolic Heart Failure (Ejection Fraction <40%) after Ischaemic Heart Disease. A previously designed proforma was used to collect data on cases admitted complete detailed history and clinical examination was taken and performed NT-PRO BNP, Troponin I, Echocardiography, ECG were performed. The data collected was then made into a chart and subjected to statistical analysis. There was no long term or short term follow up of the patient. RESULTS In the cohort studied the NT-PRO BNP levels Ranged between 358 pg/ml - 3000 pg/ml With Mean Value of 2049.93 pg/ml Median Value of 1886 pg/ml. of the cohort 72% were male and 285 were female and the 64% of the total population who were smokers lead to a significant relationship between NT-Pro BNP and smoking (p<0.05). While we managed to prove that the NTPro BNP values had a good predictive value for heart failure (p<0.05) we also recognise the need to further expand the study towards a larger population as well as include more criteria. CONCLUSION NT-PRO BNP is a good predictor of heart failure in settings of acute mi. NT-PRO BNP is a good tool for risk stratification of acute mi patients so that appropriate treatment can be planned. NT-PRO BNP can be used in an acute setting as well and can accurately predict heart failure in the absence of echocardiography, hence can be used in remote areas as a good tool
