Distance and oxygen desaturation in 6-min walk test predict prognosis in COPD patients

被引:77
|
作者
Takigawa, Nagio
Tada, Atsuhiko
Soda, Ryo
Date, Hiroshi
Yamashita, Motohiro
Endo, Shigeto
Takahashi, Syuji
Kawata, Noriko
Shibayama, Takuo
Hamada, Noboru
Sakaguchi, Motoi
Hirano, Atsushi
Kimura, Goro
Okada, Chiharu
Takahashi, Kiyoshi
机构
[1] Okayama Univ Hosp, Dept Resp Med, Okayama 7008558, Japan
[2] Natl Hosp Org, Dept Internal Med, Okayama 7010304, Japan
[3] Okayama Univ Hosp, Dept Thorac Surg, Okayama 7008558, Japan
[4] Natl Hosp Org, Dept Surg, Okayama Med Ctr, Minami Ku, Okayama 7010304, Japan
关键词
COPD; prognosis; oxygen desaturation; 6-min walk test; pulmonary rehabilitation; lung volume reduction surgery;
D O I
10.1016/j.rmed.2006.06.017
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
The aim of the present study was to predict the prognosis of Chronic obstructive pulmonary disease (COPD) patients who underwent comprehensive pulmonary rehabilitation (PR). A total of 144 patients who performed PR between 1992 and 1999 was assessed. After PR, 67 patients underwent lung volume reduction surgery (LVRS). Baseline data before PR consisted of body mass index, serum albumin levels, use of supplement oxygen at home, pulmonary function, arterial blood gas analysis, and distance and fall of hemoglobin oxygen saturation (Delta SpO(2)) in 6-min walk test. In addition to pre-PR factors, treatment with LVRS was taken into the analysis. The prognostic significance of variables influencing survival was determined by univariate analysis with Log rank test or multivariate analysis using Cox's proportional hazard model. By a median follow-up time of 8.4 years, the median survival time was 8.1 years (95% confidence interval: 6.9-9.4 years). Albumin level, PaCO2, distance and Delta SpO(2) were significant prognostic factors in univariate analysis. LVRS did not affect the prognosis. The multivariate analysis showed short distance and increase of Delta SpO(2) as significant independent predictors of the risk of death. 6-min walk test was very useful for predicting the prognosis of the COPD patients. (c) 2006 Elsevier Ltd. All rights reserved.
引用
收藏
页码:561 / 567
页数:7
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