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Nutr Metab Cardiovasc Dis ; 28(7): 743-748, 2018 07.
Article in English | MEDLINE | ID: mdl-29650296

ABSTRACT

BACKGROUND AND AIM: Arm circumference (AC) and nutritional screening tools have been shown to have prognostic capability in patients with cardiovascular disease (CVD). This study aimed to compare the prognostic predictive capabilities of AC and nutritional screening tools in older patients with CVD. METHODS AND RESULTS: The study population consisted of 949 admitted patients ≥60 years old with CVD. Patients underwent AC measurement and nutritional screening before hospital discharge. We used the controlling nutritional status index (CONUT), the geriatric nutritional risk index (GNRI), and the prognostic nutritional index (PNI) as nutritional screening tools. The end point of the study was all-cause mortality. The mean age of the study population was 72.3 ± 7.2 years, and 68.2% of the patients were male. A total of 130 deaths occurred over a median follow-up period of 2.2 years (interquartile range, 1.1-3.8 years). After adjusting for other prognostic factors, AC (hazard ratio [HR]: 0.59; p < 0.001), CONUT (HR: 0.82; p = 0.016), GNRI (HR: 0.77; p = 0.040), and PNI (HR: 0.80; p = 0.014) were significant predictors of mortality. However, adding AC to the multivariate-adjusted model (0.739 vs. 0.714, respectively; p = 0.037), but not CONUT, GNRI, or PNI (0.724, 0.717, and 0.723 vs. 0.714; p = 0.072, p = 0.306, and p = 0.127, respectively), significantly increased the area under the curve on receiver operating characteristic curve. CONCLUSIONS: AC, but not nutritional screening tools, plays a complementary role to preexisting prognostic factors for predicting prognosis in older patients with CVD.


Subject(s)
Adiposity , Anthropometry/methods , Arm/physiopathology , Cardiovascular Diseases/diagnosis , Geriatric Assessment/methods , Nutrition Assessment , Nutritional Status , Age Factors , Aged , Cardiovascular Diseases/mortality , Cardiovascular Diseases/physiopathology , Cause of Death , Female , Humans , Male , Middle Aged , Predictive Value of Tests , Prognosis , Retrospective Studies , Risk Assessment , Risk Factors , Time Factors
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