Correlation of B type Natriuretic Peptide and its 7th day outcome in Stroke patients admitted to a tertiary care hospital of East Sikkim.

Dr. Rubi Dey; Dr. Bidita Khandelwal; Dr. D. K Jha

Volume : VIII, Issue : VI, June - 2019

Correlation of B type Natriuretic Peptide and its 7th day outcome in Stroke patients admitted to a tertiary care hospital of East Sikkim.

Dr. Rubi Dey, Dr. Bidita Khandelwal, Dr. D. K Jha

Abstract :

Introduction: BNP (B – type Natriuretic Peptide) is an established cardio–vascular and cardio–renal biomarker. Studies show increase in levels of BNP in acute stroke patients independent of heart disease. Stroke has a high morbidity, Socio–economic burden and mortality. High BNP levels in acute phase of stroke have shown to predict post stroke mortality and morbidity.BNP can therefore be used to guide management of stroke patients. Aims and Objectives: To find the correlation between the biomarker BNP levels in acute stroke patients and their 7th day outcome in terms of morbidity and mortality. Materials and Methods: A prospective study on 50 acute stroke patients fulfilling the inclusion criteria attending the Central Referral Hospital, East Sikkim was undertaken. Data regarding age, sex, type of stroke, BNP levels on the 1st morning after admission and the 7th day outcome was noted in excel sheet. Data was then statistically analyzed and p value of ≤0.05 was considered significant. Result: Majority of the patients were male. 25% patients improved & 28% worsened by the 7th day. 54% patients had ischemic stroke. BNP levels rose significantly more in ischemic (mean = 455.115�715.030 pq/ml) than that in hemorrhagic (mean = 147.265�142.441 pq/ml) stroke. Even though the higher BNP levels could predict the type of stroke, we found them to be a poor predictor of the 7th day outcome (r = 0.021, P = 0.884). Conclusion: BNP levels can be a biomarker to assess the outcome of patients with acute stroke. The results of this study were not found significant. Small sample size and one week outcome maybe the reason which can be avoided with a larger sample size and a longer follow up.