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Prognostic Value of Nutritional Indexes in Evaluating the 1-Year Results after Implantation of the Carillon Mitral Contour System

期刊

ACTA CARDIOLOGICA SINICA
卷 38, 期 3, 页码 362-372

出版社

TAIWAN SOC CARDIOLOGY
DOI: 10.6515/ACS.202205_38(3).20211222A

关键词

Carillon Mitral Contour System; Controlling nutritional status; Geriatric nutritional risk index; Heart failure; Prognostic nutritional index; Severe mitral regurgitation

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This study demonstrates that nutritional indexes can predict 1-year all-cause mortality in patients undergoing CMCS implantation. Low PNI and GNRI, as well as high CONUT scores, are associated with poor clinical outcomes.
Background: The prognostic importance of nutritional indexes has been shown in some diseases. We aimed to examine the prognostic value of these indexes in patients implanted with the Carillon Mitral Contour System (CMCS). Methods: Fifty-four patients who underwent successful CMCS implantation were evaluated. Prognostic nutritional index (PNI), geriatric nutritional risk index (GNRI) and controlling nutritional status (CONUT) scores were calculated. The relationships between these indexes and 1-year clinical outcomes including all-cause mortality and re-hospitalization due to heart failure were investigated. Results: In Kaplan-Meier analysis, 1-year all-cause mortality rates were significantly higher in the patients with low PNI and GNRI and high CONUT scores (52.0% vs. 0%, p < 0.001; 54.2% vs. 0%, p < 0.001; 52.4%, 6.1%, p < 0.001; respectively). For the composite endpoint, a significant difference was observed between those below and above the cut-off values (70.0% vs. 16.7%, p < 0.001; 75.0% vs. 23.3%, p < 0.001; 66.7% vs. 20.8%, p < 0.001, respectively). In multivariate Cox regression analysis, GNRI was determined to be an independent predictor of 1-year all-cause mortality [hazard ratio: 0.707; 95% confidence interval: 0.510-0.979; p = 0.037]. Conclusions: Nutritional indexes have prognostic value in predicting 1-year all-cause mortality in severe functional mitral regurgitation patients undergoing CMCS implantation. In particular, GNRI can guide the selection of patients who will benefit from CMCS.

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