Galectin-3 as a Prognostic Biomarker of Left Ventricular Assist Device Implantation Outcomes
We assessed the prognostic potential of Galectin-3 in a sample of 159 heart failure patients who received a left ventricular assist device (LVAD) implant from 2012 to 2020. Clinical outcomes included hemodynamic data, right heart failure (RHF), hemocompatibility-related adverse events (HRAEs), and m...
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Published in: | ASAIO journal (1992) |
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Main Authors: | , , , , , , , , , |
Format: | Journal Article |
Language: | English |
Published: |
United States
02-08-2024
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Online Access: | Get full text |
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Summary: | We assessed the prognostic potential of Galectin-3 in a sample of 159 heart failure patients who received a left ventricular assist device (LVAD) implant from 2012 to 2020. Clinical outcomes included hemodynamic data, right heart failure (RHF), hemocompatibility-related adverse events (HRAEs), and mortality. Galectin-3 was compounded into Michigan-RVF and EUROMACS-RHF risk scores and compared to the noncompounded risk scores. Right heart failure was significantly correlated with Galectin (p = 0.004) on a continuous spectrum. Inotrope duration was significantly correlated to Galectin-3 (interquartile range [IQR]: 7.58-8.65, p < 0.001) along with INTERMACS score (IQR: 2.14-1.90, p < 0.001). Intensive care unit length of stay (median 8 days, p = 0.02), blood urea nitrogen (p < 0.001), creatinine (p < 0.001), and pulmonary artery pulsatility index (p = 0.05) were also significantly correlated with Galectin-3. In our c-statistic analysis, the predictive value for RHF improved when Galectin-3 was included for both the Michigan-RVF (0.80-0.86) and EUROMACS-RHF (0.77-0.82) risk scores. When elevated over a binary cutoff of 18.2 ng/ml, Galectin-3 significantly correlated with HRAEs (p = 0.014) and mortality (p = 0.031). Galectin-3 shows great promise as a predictive biomarker in patients implanted with durable LVADs. In addition to significant correlation with key clinical outcomes, Galectin-3 enhanced the Michigan-RVF and EUROMACS-RHF risk scores in predicting progression to RHF. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1058-2916 1538-943X 1538-943X |
DOI: | 10.1097/MAT.0000000000002292 |