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Cardiovascular Biomarkers and Diastolic Dysfunction in Patients With Chronic Chagas Cardiomyopathy
Luis E Echeverría1, Sergio Alejandro Gómez-Ochoa2, Lyda Z Rojas3
1Heart Failure and Heart Transplant Clinic, Fundación Cardiovascular de Colombia, Floridablanca, Colombia.
Insights
Cardiovascular biomarkers like NT-proBNP, hs-cTnT, NGAL, and Cys-C can help identify diastolic dysfunction (DD) in Chronic Chagas Cardiomyopathy (CCM). NT-proBNP showed the highest accuracy in detecting DD in CCM patients.
Area of Science:
- Cardiology
- Biomarkers
- Heart Failure
Background:
- Chronic Chagas Cardiomyopathy (CCM) presents a high mortality risk.
- Diastolic dysfunction (DD) significantly impacts CCM prognosis.
- The role of serum biomarkers in assessing DD in CCM is understudied.
Purpose of the Study:
- To investigate the correlation between six serum biomarkers and echocardiographic markers of diastolic function.
- To evaluate the utility of these biomarkers in diagnosing DD in CCM patients.
Main Methods:
- A cross-sectional study involving 100 adult CCM patients.
- Serum levels of NT-proBNP, galectin-3, NGAL, hs-cTnT, sST2, and cystatin-C were measured.
- Echocardiography with Tissue Doppler imaging assessed diastolic function; multivariate logistic regression analyzed biomarker associations with DD.
Main Results:
- 64% of patients had diagnosed DD, often with a restrictive pattern.
- Median levels of NT-proBNP, hs-cTnT, NGAL, and Cys-C were significantly higher in patients with DD.
- Higher NT-proBNP, hs-cTnT, NGAL, and Cys-C levels were independently associated with increased odds of DD.
- NT-proBNP demonstrated the highest discriminative ability (AUC 88.54%) for DD detection.
Conclusions:
- Cardiovascular biomarkers are valuable for assessing diastolic dysfunction in CCM.
- Further research, particularly in heart failure with preserved ejection fraction (HFpEF) patients, is needed to validate these biomarkers for optimal CCM patient management.
Abstract:
Background: Chronic Chagas Cardiomyopathy is a unique form of cardiomyopathy, with a significantly higher mortality risk than other heart failure etiologies. Diastolic dysfunction (DD) plays an important role in the prognosis of CCM; however, the value of serum biomarkers in identifying and stratifying DD has been poorly studied in this context. We aimed to analyze the correlation of six biochemical markers with diastolic function echocardiographic markers and DD diagnosis in patients with CCM. Methods: Cross-sectional study of 100 adults with different stages of CCM. Serum concentrations of amino-terminal pro-B type natriuretic peptide (NT-proBNP), galectin-3 (Gal-3), neutrophil gelatinase-associated lipocalin (NGAL), high-sensitivity troponin T (hs-cTnT), soluble (sST2), and cystatin-C (Cys-c) were measured. Tissue Doppler imaging was used to measure echocardiographic parameters indicating DD. Multivariate logistic regression models adjusted by age, sex, BMI, and NYHA classification were used to evaluate the association between the biomarkers and DD. Results: From the total patients included (55% male with a median age of 62 years), 38% had a preserved LVEF, but only 14% had a normal global longitudinal strain. Moreover, 64% had a diagnosis of diastolic dysfunction, with most of the patients showing a restrictive pattern (n = 28). The median levels of all biomarkers (except for sST2) were significantly higher in the group of patients with DD. Higher levels of natural log-transformed NTproBNP (per 1-unit increase, OR = 3.41, p < 0.001), Hs-cTnT (per 1-unit increase, OR = 3.24, p = 0.001), NGAL (per 1-unit increase, OR = 5.24, p =0.003), and Cys-C (per 1-unit increase, OR = 22.26, p = 0.008) were associated with increased odds of having diastolic dysfunction in the multivariate analyses. Finally, NT-proBNP had the highest AUC value (88.54) for discriminating DD presence. Conclusion: Cardiovascular biomarkers represent valuable tools for diastolic dysfunction assessment in the context of CCM. Additional studies focusing mainly on patients with HFpEF are required to validate the performance of these cardiovascular biomarkers in CCM, allowing for an optimal assessment of this unique population.
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