JPEN. Journal of parenteral and enteral nutrition · 2020
Low Muscle Mass Is a Predictor of Malnutrition and Prolonged Hospital Stay in Patients With Acute Exacerbation of Chronic Obstructive Pulmonary Disease: A Longitudinal Study.
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Teixeira Paula Portal, Kowalski Veronnike Hossa, Valduga Kamila, de Araújo Bruna Espíndola, Silva Flávia Moraes
Аннотация
BACKGROUND: Malnutrition in chronic obstructive pulmonary disease (COPD) patients is more prevalent during times of exacerbation. Fat-free mass index (FFMI), calf circumference (CC), and adductor muscle pollicis thickness (AMPT) can be used to identify reduced muscle mass and have been found to be good predictors of clinical outcomes in other conditions, but they have not been investigated in COPD. Therefore, this study evaluated low muscle mass as predictor of malnutrition, prolonged length of stay (LOS), and in-hospital death in COPD patients.
METHODS: This prospective cohort study was carried out in hospitalized patients with COPD exacerbation. Malnutrition diagnosis was performed by Subjective Global Assessment, and muscle mass was assessed by FFMI, calculated using fat-free mass from bioelectrical impedance, CC, and AMPT. Clinical outcomes (LOS and in-hospital death) were collected from records.
RESULTS: One hundred seventy-six patients were included (68.2 ± 10.4 years old, 56.2% women); 74.2% were classified as Global Initiative of Chronic Obstructive Lung Disease 2 or 3 and 58.2% as malnourished. The median LOS was 11 (7-19) days, and the incidence of death was 9.1%. Low FFMI and CC predicted malnutrition (low CC: odds ratio [OR], 4.6; 95% CI, 2.2-9.7 and low FFMI: OR, 8.8; 95% CI, 3.7-20.8) and were associated with prolonged LOS (low CC: OR, 2.3; 95% CI, 1.1-4.6 and low FFMI: OR, 2.5; 95% CI, 1.3-4.8).
CONCLUSION: Simple, inexpensive, and noninvasive parameters of muscle mass-FFMI and CC-are good predictors of malnutrition and prolonged LOS in COPD patients experiencing exacerbation.
METHODS: This prospective cohort study was carried out in hospitalized patients with COPD exacerbation. Malnutrition diagnosis was performed by Subjective Global Assessment, and muscle mass was assessed by FFMI, calculated using fat-free mass from bioelectrical impedance, CC, and AMPT. Clinical outcomes (LOS and in-hospital death) were collected from records.
RESULTS: One hundred seventy-six patients were included (68.2 ± 10.4 years old, 56.2% women); 74.2% were classified as Global Initiative of Chronic Obstructive Lung Disease 2 or 3 and 58.2% as malnourished. The median LOS was 11 (7-19) days, and the incidence of death was 9.1%. Low FFMI and CC predicted malnutrition (low CC: odds ratio [OR], 4.6; 95% CI, 2.2-9.7 and low FFMI: OR, 8.8; 95% CI, 3.7-20.8) and were associated with prolonged LOS (low CC: OR, 2.3; 95% CI, 1.1-4.6 and low FFMI: OR, 2.5; 95% CI, 1.3-4.8).
CONCLUSION: Simple, inexpensive, and noninvasive parameters of muscle mass-FFMI and CC-are good predictors of malnutrition and prolonged LOS in COPD patients experiencing exacerbation.