RESUMO
Background Malnutrition is associated with poor prognosis in several cardiovascular diseases. However, its prognostic impact in patients undergoing transcatheter edge-to-edge mitral valve repair (TEER) is not well known. This study sought to assess the prevalence, clinical associations, and prognostic consequences of malnutrition in patients undergoing TEER. Methods and Results A total of 892 patients undergoing TEER from the international MIVNUT (Mitral Valve Repair and Nutritional Status) registry were studied. Malnutrition status was assessed with the Controlling Nutritional Status score. The association of nutritional status with mortality was analyzed with multivariable Cox regression models, whereas the association with heart failure admission was assessed by Fine-Gray models, with death as a competing risk. According to the Controlling Nutritional Status score, 74.4% of patients with TEER had any degree of malnutrition at the time of TEER (75.1% in patients with body mass index <25 kg/m2, 72.1% in those with body mass index ≥25 kg/m2). However, only 20% had moderate-severe malnutrition. TEER was successful in most of patients (94.2%). During a median follow-up of 1.6 years (interquartile range, 0.6-3.0), 267 (29.9%) patients died and 256 patients (28.7%) were admitted for heart failure after TEER. Compared with normal nutritional status moderate-severe malnutrition resulted a strong predictor of mortality (adjusted hazard ratio [HR], 2.1 [95% CI, 1.1-2.4]; P<0.001) and heart failure admission (adjusted subdistribution HR, 1.6 [95% CI, 1.1-2.4]; P=0.015). Conclusions Malnutrition is common among patients submitted to TEER, and moderate-severe malnutrition is strongly associated with increased mortality and heart failure readmission. Assessment of nutritional status in these patients may help to improve risk stratification.
Assuntos
Insuficiência Cardíaca , Implante de Prótese de Valva Cardíaca , Desnutrição , Insuficiência da Valva Mitral , Humanos , Estado Nutricional , Prognóstico , Valva Mitral/cirurgia , Fatores de Risco , Desnutrição/diagnóstico , Desnutrição/epidemiologia , Insuficiência Cardíaca/etiologia , Sistema de Registros , Insuficiência da Valva Mitral/cirurgia , Resultado do Tratamento , Implante de Prótese de Valva Cardíaca/efeitos adversosRESUMO
BACKGROUND: Risk stratification for transcatheter edge-to-edge mitral valve repair (TEER) is paramount in the decision-making process for treating severe mitral regurgitation (MR). OBJECTIVES: This study sought to create and validate a user-friendly score (MitraScore) to predict the risk of mortality in patients undergoing TEER. METHODS: The derivation cohort was based on a multicentric international registry that included 1,119 patients referred for TEER between 2012 and 2020. Score discrimination was assessed using Harrell's c-statistic, and the calibration was evaluated with the Gronnesby and Borgan goodness-of-fit test. An external validation was carried out in 725 patients from the GIOTTO registry. RESULTS: After multivariate analysis, we identified 8 independent predictors of mortality during the follow-up (2.1 ± 1.8 years): age ≥75 years, anemia, glomerular filtrate rate <60 mL/min/1.73 m2, left ventricular ejection fraction <40%, peripheral artery disease, chronic obstructive pulmonary disease, high diuretic dose, and no therapy with renin-angiotensin system inhibitors. The MitraScore was derived by assigning 1 point to each independent predictor. The c-statistic was 0.70. Per each point of the MitraScore, the relative risk of mortality increased by 55% (HR: 1.55; 95% CI: 1.44-1.67; P < 0.001). The discrimination and calibration for mortality prediction was better than those of EuroSCORE II (c-statistic 0.61) or Society of Thoracic Surgeons score (c-statistic 0.57). The MitraScore maintained adequate performance in the validation cohort (c-statistic 0.66). The score was also predictive for heart failure rehospitalization and was correlated with the probability of clinical improvement. CONCLUSIONS: The MitraScore is a simple prediction algorithm for the prediction of follow-up mortality in patients treated with TEER.