B-type natriuretic peptide as diagnostic and prognostic marker in various forms of acute coronary syndrome

Sidra Sadiq; Aamir Ijaz; Mirza Muhammad Dawood; Tayyaba Sadiq

doi:10.12669/pjms.38.4.4910

B-type natriuretic peptide as diagnostic and prognostic marker in various forms of acute coronary syndrome

Pak J Med Sci. 2022 Mar-Apr;38(4Part-II):970-975. doi: 10.12669/pjms.38.4.4910.

Authors

Sidra Sadiq¹, Aamir Ijaz², Mirza Muhammad Dawood³, Tayyaba Sadiq⁴

Affiliations

¹ Sidra Sadiq, MBBS, FCPS, Pathology Department, Rehman Medical Institute, Peshawar, Pakistan.
² Aamir Ijaz, MBBS, FCPS, Pathology Department, Rehman Medical Institute, Peshawar, Pakistan.
³ Mirza Muhammad Dawood, MBBS, FCPS, Pathology Department, Rehman Medical Institute, Peshawar, Pakistan.
⁴ Tayyaba Sadiq, BS MLT, Pathology Department, Rehman Medical Institute, Peshawar, Pakistan.

Abstract

Objectives: This study was conducted to evaluate the diagnostic and prognostic value of B-type natriuretic peptide (BNP) in different categories of acute coronary syndrome (ACS) patients on arrival.

Methods: This cohort study included 197 patients admitted in Coronary Care Unit (CCU) of Rehman Medical Institute (RMI) Peshawar from January 2020 to June 2020. Patients were categorized in two subgroups. Subgroup-I with BNP below 100pg/mL. Subgroup-II having BNP above 100pg/mL. Samples were obtained on admission from these patients for Cardiac Troponin I (Trop-i), BNP and serum creatinine. BNP samples were analyzed on Cobas® using chemiluminescence method. Descriptive statistics were derived for age; gender and cardiac biomarkers. Receiver-operating characteristic curves (ROC) were generated. Diagnostic accuracy parameters were determined for Non ST- segment elevation myocardial infarction (STEMI), ST- segment elevation myocardial infarction (STEMI) and unstable angina (UA).

Result: One hundred fourteen patients (58.2%) were males and 82 were females (41.8%).Our of this 89 patients were NSTEMI in group II. Mean BNP was 1438±1463.Age distribution shows 120 individuals were over 55 years (61.2%). Hypertension, diabetes, smoking and previous infarcts were the risk factors for ACS. Sensitivity, specificity, Positive Predictive Value (PPV), Negative Predictive value (NPV), likelihood ratios, and overall accuracy of BNP at admission for the entire sub categories in ACS (cut-off value 100 pg/mL) were determined by using Trop-i the gold standard. ROC curve showed AUC = 0.557, (95% confidence interval: 0.476-0.638). When Pearson correlation was applied, BNP was found to be a noteworthy independent predictor.

Conclusion: BNP can be a useful Biomarker along with standard cardiac biomarkers in various categories of patients with ACS.

Keywords: Acute coronary syndrome; Acute myocardial infarction.