Abstract
Title: NTproBNP, A Novel Cardiac Biomarker as a Prognostic Indicator in Acute Coronary Syndromes
Author: Dr. Rhea Regi
Introduction:
Cardiovascular diseases account for 32% of global deaths, with Acute Coronary Syndrome (ACS) being a leading cause.
Despite treatment, ACS patients remain at high risk for future cardiac events.
NTproBNP, an inactive remnant of BNP released from cardiac myocytes, has a longer half-life and is used as a prognostic marker for ACS.
Aim & Objectives:
Assess NTproBNP as a prognostic indicator in ACS.
Determine if NTproBNP levels correlate with recurrent angina, hospital admissions, mortality, and left ventricular (LV) dysfunction.
Methods:
Study Design: Prospective observational study.
Period: September 2022 - July 2023.
Population: 54 ACS patients (unstable angina, NSTEMI, STEMI) at Dr balasaheb vikhe patil rural medical college,loni
Inclusion Criteria: Patients <65 years with no prior cardiac history, presenting within 24 hours of ACS symptoms.
Exclusion Criteria: Age >65, anemia, sepsis, renal failure.
Follow-up: 6 months, monitoring symptoms, LV function via 2D ECHO, and hospital admissions.
Results:
NTproBNP was elevated in 40 out of 54 patients (74%).
NTproBNP levels and ACS Type:
More commonly elevated in STEMI (80.5%) than NSTEMI (75%) or unstable angina (57.2%).
Correlation of NTproBNP elevation with outcomes:
Recurrent Angina: 90.3% of patients with NTproBNP >100 pg/ml had recurrent angina (p=0.001).
LV Dysfunction: 60% of patients with NTproBNP >100 pg/ml developed LV dysfunction (p=0.005).
Hospital Admissions: 52.5% of patients with NTproBNP >100 pg/ml required hospitalization (p=0.009).
Mortality: 9 deaths, all in patients with NTproBNP >100 pg/ml (p=0.021).
Discussion & Conclusion:
NTproBNP is significantly elevated in ACS, particularly in STEMI.
High NTproBNP levels predict recurrent angina, LV dysfunction, hospital admissions, and mortality.
It is a reliable prognostic biomarker for ACS and should be used for closer monitoring of high-risk patients.
Limitations:
Small sample size.
Geriatric patients excluded, though they are at higher risk.
Fewer female participants due to exclusion of patients >65 years, as women typically develop ACS later in life.