RT Journal Article
SR Electronic
T1 Association of the percentage of peripheral lymphocytes with disease severity and nutritional status in patients with COPD
JF European Respiratory Journal
JO Eur Respir J
FD European Respiratory Society
SP P529
VO 40
IS Suppl 56
A1 Ryuko Furutate
A1 Kouichi Yamada
A1 Takeo Ishii
A1 Takashi Motegi
A1 Kumiko Hattori
A1 Yuji Kusunoki
A1 Akihiko Gemma
A1 Kozui Kida
YR 2012
UL http://erj.ersjournals.com/content/40/Suppl_56/P529.abstract
AB Background: Several studies have suggested that a low percentage of peripheral lymphocytes (LYM%) is associated with malnutrition, inflammation, and mortality in diseases such as cancer and chronic kidney disease. In COPD cases, malnutrition is very common, and its prevalence increases with disease severity.Objectives: We evaluated whether the LYM% is associated with disease severity and nutritional status in patients with COPD.Methods: We recruited clinically stable male outpatients with COPD for a cross-sectional study. We conducted the following examinations: blood tests, pulmonary function tests, pulmonary computed tomography image analyses, anthropometric measurements, the 6-minute walk test (6MWT), and dyspnoea evaluation. We examined the correlations between the LYM% and the clinical variables.Results: We evaluated 72 patients (mean age, 70.6 years). The LYM% was significantly correlated with FEV1% predicted (Pearson's coefficient, r = 0.496; p < 0.0005), percentage of low-attenuation area (r = −0.306; p = 0.015), body mass index (r = 0.252; p = 0.034), fat-free mass index (r = 0.404; p < 0.0005), distance covered during the 6MWT (Spearman's rank correlation coefficient, ρ = 0.491; p < 0.0005), and the modified Medical Research Council (MMRC) dyspnoea score (ρ = −0.439; p < 0.0005). Stepwise multiple regression analysis showed that FEV1% predicted significantly correlated with the LYM% (R2 = 0.252).Conclusions: A low LYM% is associated with impaired nutritional status, exercise capacity, and pulmonary function. The LYM% may serve as a clinically convenient and useful biomarker for predicting disease severity in patients with COPD.