Abstract

Introduction: Malnutrition, cognitive decline and heart failure (HF) frequently coexist in the elderly. A recent systematic review revealed that malnutrition was a possible contributing factor of cognitive impairment. Although several studies reported the association of malnutrition with poor HF prognosis, the underlying pathophysiology has been unclear. Hypothesis: We assessed the hypothesis that malnutritional status might be associated with cognitive dysfunction in the elderly with HF. In addition, we investigated whether left ventricular ejection fraction (LVEF) moderates that relationship or not. Methods: Nutritional status and cognitive function were evaluated using the geriatric nutritional risk index (GNRI), controlling nutritional status (CONUT) score and mini-mental state examination (MMSE) in 245 elderly inpatients in stable phase of HF (82.9±6.0 years old, male 49.4%). Echocardiography was performed at admission. HF with preserved EF (HFpEF) was defined according to LVEF more than 50% (n=129). Results: According to the quartile of MMSE score (< 19, ≥19 to 27≤, >27), significant associations of MMSE score were observed with GNRI (89.1 vs 95.4 vs 95.5, p=0.004) and CONUT score (3.50 vs 2.71 vs 2.61, p=0.039) among three groups. In the logistic regression analysis adjusted for the confounders including age, gender, LVEF, brain natriuretic peptide level, systolic blood pressure at admission, diuretics and antihypertensive medication use, GNRI (β=0.96, 95%CI:0.93 to 0.99, p=0.008) and CONUT score (β=1.18, 95%CI:1.01 to 1.37, p=0.03) each was significantly associated with cognitive dysfunction (defined as MMSE score <19). According to the HF phenotype, GNRI (β=0.93, 95%CI:0.88 to 0.98, p=0.01) and CONUT (β=1.55, 95%CI:1.19 to 2.02, p=0.001) each had a significant relationship with cognitive dysfunction only in the group without HFpEF. Conclusions: In conclusion , lower GNRI and higher CONUT score were shown to be significant indicators of cognitive dysfunction in the elderly HF patients. These results highlight the importance of stratifying by nutritional status for a clinical intervention of cognitive dysfunction in the elderly patients without HFpEF.

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