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. 2024 Apr 16;14(4):513.
doi: 10.3390/life14040513.

Insights into the Novel Cardiac Biomarker in Acute Heart Failure: Mybp-C

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Insights into the Novel Cardiac Biomarker in Acute Heart Failure: Mybp-C

Adriana Chetran et al. Life (Basel). .

Abstract

(1) Background: Given its high cardiac specificity and its capacity to directly assess the cardiac function, cardiac myosin-binding protein (MyBP-C) is a promising biomarker in patients with acute heart failure (AHF). The aim of our study was to investigate the clinical utility of this novel marker for diagnosis and short-term prognosis in subjects with AHF. (2) Methods: We measured plasma levels of MyBP-C at admission in 49 subjects (27 patients admitted with AHF and 22 controls). (3) Results: The plasma concentration of MyBP-C was significantly higher in patients with AHF compared to controls (54.88 vs. 0.01 ng/L, p < 0.001). For 30-day prognosis, MyBP-C showed significantly greater AUC (0.972, p < 0.001) than NT-proBNP (0.849, p = 0.001) and hs-TnI (0.714, p = 0.047). In a multivariate logistic regression analysis, an elevated level of MyBP-C was the best independent predictor of 30-day mortality (OR = 1.08, p = 0.039) or combined death/recurrent 30-days rehospitalization (OR = 1.12, p = 0.014). (4) Conclusions: Our data show that circulating MyBP-C is a sensitive and cardiac-specific biomarker with potential utility for the accurate diagnosis and prognosis of AHF.

Keywords: MyBP-C; acute heart failure; biomarker; cardiac myosin-binding protein; diagnosis; prognosis.

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Conflict of interest statement

The authors declare no conflicts of interest.

Figures

Figure 1
Figure 1
Combined receiver operating characteristic (ROC) curves for NT-proBNP, MyBP-C and hs-TnI for the diagnosis of AHF in dyspneic patients.
Figure 2
Figure 2
Median MyBP-C levels among HF patients who died (n = 9) within 30 days and those who survived (n = 18). Boxes = interquartile ranges; whiskers = 5th and 95th percentiles.
Figure 3
Figure 3
ROC curve for the relationship between cardiac biomarkers and total mortality rate within 30 days.
Figure 4
Figure 4
ROC curve for the relationship between cardiac biomarkers and rehospitalization rate within 30 days.
Figure 5
Figure 5
Kaplan–Meier survival curves according to the high-risk cut-off.

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