Literature DB >> 33717557

Clinical impact of forced vital capacity on exercise performance in patients with chronic obstructive pulmonary disease.

Seong Mi Moon1, Jun Hyeok Lim2, Yun Soo Hong3, Kyeong-Cheol Shin4, Chang Youl Lee5, Do Jin Kim6, Sang Haak Lee7, Ki Suck Jung8, Chang-Hoon Lee9, Kwang Ha Yoo10, Hyun Lee11, Hye Yun Park12.   

Abstract

BACKGROUND: Forced vital capacity (FVC) has been suggested to be a good biomarker for decreased exercise performance in patients with chronic obstructive pulmonary disease (COPD). However, as FVC is highly correlated with forced expiratory volume in 1 second (FEV1), the relationship between FVC and exercise capacity should be assessed within the category of FEV1, i.e., COPD severity. However, this was not considered in previous studies. Thus, limited data are available on the association between reduced FVC and exercise capacity measured by 6-min walk distance (6MWD) based on COPD severity.
METHODS: We performed a cross-sectional study using data from the Korean COPD Subgroup Study (KOCOSS) cohort. We evaluated 1,386 patients with moderate (n=895) and severe-to-very severe (n=491) COPD. Reduced FVC was defined as FVC <80% predicted and short 6MWD as <350 m. Multivariable logistic regression was used to evaluate the association between reduced FVC and short 6MWD.
RESULTS: There were no significant differences in respiratory symptoms and quality of life between the patients with reduced FVC and those with preserved FVC. However, patients with reduced FVC had shorter 6MWD (30.5 cm in moderate and 34.5 cm in severe-to-very severe COPD) and higher BODE index scores than those with preserved FVC. The cubic spline model revealed 6MWD peaked around 93% predicted of FVC in moderate COPD, whereas FVC showed a positive association with 6MWD in severe-to-very severe COPD. Multivariable analyses showed that reduced FVC was significantly associated with short 6MWD in both moderate [adjusted odds ratio (aOR) =1.44, 95% confidence interval (CI): 1.03-2.02] and severe-to-very severe (adjusted OR =1.55, 95% CI: 1.01-2.40) COPD.
CONCLUSIONS: Reduced FVC was significantly associated with shorter 6MWD in moderate-to-very severe COPD patients, suggesting that reduced FVC might be reflective of 6MWD-measured exercise capacity in moderate-to-very severe COPD. 2021 Journal of Thoracic Disease. All rights reserved.

Entities:  

Keywords:  6-min-walk test (6MWT); Chronic obstructive pulmonary disease (COPD); forced vital capacity (FVC)

Year:  2021        PMID: 33717557      PMCID: PMC7947547          DOI: 10.21037/jtd-20-1098a

Source DB:  PubMed          Journal:  J Thorac Dis        ISSN: 2072-1439            Impact factor:   3.005


Introduction

Physical inactivity is an important predictor of chronic obstructive pulmonary disease (COPD) outcomes. COPD patients with physical inactivity have reduced health-related quality of life, increased hospitalization, and higher mortality than those with good exercise capacity (1-5). Physical activity can be assessed using various methods, such as questionnaire surveys, self-reported diaries, and objective measurements (6,7). The 6-min walk test (6MWT) is a well-known exercise test that is useful for stratifying the degree of exercise performance in COPD patients (3,8-10). A short 6-min walk distance (6MWD) is strongly associated with reduced daily activity (8). Spirometry is an essential and useful tool for diagnosing COPD, as well as for classifying its severity and prognosis (11). Although the forced expiratory volume in 1 second (FEV1) has been widely used as a biomarker, recent studies have shown that forced vital capacity (FVC) could provide valuable information for both non-COPD and COPD patients. Accumulating evidence shows that reduced FVC is associated with multiple comorbid conditions (e.g., aging, cardiovascular disease, and obesity) and reduced exercise capacity in the general population (12-15). Several other studies on the COPD population revealed that FVC and FEV1 are correlated with exercise capacity based on measures such as 6MWD, shuttle walk test distance, and peak maximum rate of oxygen consumption (VO2 max) (16-20), and that reduced FVC is associated with behavior restriction, especially in those with moderate airflow limitations (21). The above studies suggested that reduced FVC might be a good biomarker for predicting decreased 6MWD and behavior restriction. However, the relationship between reduced FVC and 6MWD in the COPD population is still inconclusive because previous studies evaluated a small number of patients and analyzed FVC as a continuous variable (18,19). In addition, as FEV1 is one of the most significant factors affecting exercise capacity and 6MWD, the severity of COPD needs to be considered for the evaluation of the relationship between FVC and 6MWD. However, this was not considered in previous studies (18,19). Thus, in this study, we aimed to investigate the relationship between FVC and exercise capacity measured using 6MWD, with stratification of the severity of airflow limitations, in a prospective observational COPD cohort.

Methods

Study population

The study population comprised patients from the Korean COPD Subgroup Study (KOCOSS) cohort (registered on ClinicalTrials.gov with identifier NCT02800499), which is an ongoing multicenter, prospective observational cohort of COPD that has included participants from 53 centers in South Korea since December 2011. The inclusion criteria were as follows: age ≥40 years and post-bronchodilator FEV1/FVC ratio of <0.7. At the first visit, medical history information was collected, such as smoking status, patient-reported education level, medications including those already prescribed for COPD, and self-reported comorbidities taken from questionnaires. The modified Medical Research Council (mMRC) scores for dyspnea severity (22), COPD assessment test (CAT) scores (23), and scores from the COPD-specific version of St George’s Respiratory Questionnaire (SGRQ-C) were assessed (24). Spirometry and 6MWT were performed at the time of enrolment. “History of asthma” was defined as patients’ self-report of physician-diagnosis of asthma. All data were documented in case report forms completed by physicians or trained nurses. The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013). Written informed consent was obtained from all study patients. Ethics approval for this study was obtained from the institutional review boards of each center (Samsung Medical Center, IRB No. 2014-06-132). All methods were performed in accordance with the relevant guidelines and regulations. Initially, 2,185 patients recruited from the KOCOSS cohort were eligible for this study. Patients who had no 6MWD data (n=523), those with tuberculosis-destroyed lungs, defined as lung destruction of one lobe or more due to tuberculosis infection (25) (n=48), and those with a mild degree of airflow limitation (n=228) were excluded. Patients who had only history of tuberculosis infection without lung destruction were not excluded in this study. Finally, 1,386 patients were included our analysis ().
Figure 1

Study population. COPD, chronic obstructive pulmonary disease; KOCOSS, Korea COPD Subgroup Study; 6MWT, 6-min walk test; TB, tuberculosis.

Study population. COPD, chronic obstructive pulmonary disease; KOCOSS, Korea COPD Subgroup Study; 6MWT, 6-min walk test; TB, tuberculosis.

Pulmonary function tests and disease severity

Spirometry was performed according to the recommendations of the American Thoracic Society/European Respiratory Society (26). All of the spirometric measures used included post-bronchodilator values for FEV1 and FVC. COPD severity was categorized according to Global Initiative for Chronic Obstructive Lung Disease grading system, as follows: moderate [50% predicted (pred) ≤FEV1 <80% pred], or severe-to-very severe (FEV1 <50% pred) (11). Patients were further classified into the preserved FVC group (FVC ≥80% pred) and reduced FVC group (FVC <80% pred) (21). We performed 6MWT according to the American Thoracic Society guidelines (27). Short 6MWD was defined as <350 m in 6MWT (8,28).

Statistical analyses

For continuous variables, descriptive statistics were reported as mean ± standard deviation, whereas categorical variables were reported as a number of patients (%) per category and the frequency of response. Continuous variables were compared using two-sample t-tests, whereas categorical variables were compared using chi-square or Fisher’s exact tests, as appropriate. Cubic spline models were used to demonstrate an association between FVC (%pred) and 6MWD in patients with moderate and severe-to-very severe COPD, separately. We used multivariable logistic regression to evaluate the association between FVC and 6MWD, and patients with FVC ≥80% pred were the reference group. We calculated the adjusted odds ratios (aOR) with progressive degrees of adjustment in patients with moderate and severe-to-very severe COPD, separately: Model 1 was adjusted for age, sex (male vs. female), and smoking status (ever smoker vs. never smoker); Model 2 included all variables in model 1 plus body mass index (BMI) (≥25 vs. <25 kg/m2); and Model 3 included all variables in model 2 plus history of asthma. We considered a value of P<0.050 as statistically significant. All statistical analyses were performed using STATA 15.1 version (StataCorp LP, College Station, TX, USA).

Results

Patient characteristics

The baseline characteristics of the study population are summarized according to COPD severity and FVC category in . Among moderate COPD patients, those with reduced FVC were more likely to be older (P<0.001), have higher BMI (P<0.001), and include fewer smokers (P<0.001) than those with preserved FVC. However, in patients with severe-to-very severe COPD, there were no statistically significant differences in terms of age, BMI, and smoking status according to the FVC category.
Table 1

Baseline characteristics (N=1,386)

Moderate COPD (n=895)Severe-to-very severe COPD (n=491)
FVC ≥80%pred (n=513)FVC <80%pred (n=382)P valueFVC ≥80%pred (n=141)FVC <80%pred (n=350)P value
Male sex, n [%]473 [92]347 [91]0.466134 [95]328 [94]0.574
Age, years71.6±7.975.1±7.2<0.00172.2±6.973.2±8.00.228
BMI, kg/m223.0±2.924.3±3.4<0.00121.4±2.921.8±3.40.171
BMI ≥25 kg/m2, n [%]123 [24]159 [42]<0.00112 [9]53 [15]0.050
Smoking, n [%]<0.0010.123
   Ex-smoker or current smoker485 [95]329 [87]133 [94]314 [90]
   Never smoker27 [5]51 [13]8 [6]35 [10]
Amount, pack-years43.3±22.741.9±23.00.41544.6±22.746.6±28.00.481
mMRC score, n [%]
   0–1343 [71]239 [67]0.14457 [43]124 [37]0.255
   2–4137 [29]119 [33]75 [57]207 [63]
CAT score13.4±7.114.2±7.50.12417.9±8.118.6±8.20.416
SGRQ score
   Total29.8±19.032.1±19.20.15541.8±19.443.8±22.90.440
   Symptoms41.1±19.841.7±20.00.72250.8±20.850.6±20.90.921
   Activity41.2±21.044.2±20.40.08955.0±21.657.1±24.30.449
   Impact20.2±17.822.1±18.80.20329.4±18.831.7±21.70.372
SGRQ score, total ≥25, n [%], (n=897)159 [54]156 [59]0.23377 [79]186 [77]0.780
BODE index score1.3±1.21.7±1.3<0.0013.9±1.64.6±1.7<0.001
Comorbidities, n [%]
   Asthma147 [29]133 [35]0.04934 [24]132 [38]0.004
   History of previous TB120 [23]87 [23]0.82940 [28]101 [29]0.921
   Myocardial infarction22 [4]23 [6]0.2415 [4]15 [4]0.708
   Heart failure13 [3]13 [3]0.4446 [4]12 [3]0.659
   PVD4 [1]14 [4]0.0022 [1]8 [2]0.731
   Diabetes mellitus79 [15]90 [24]0.00221 [15]60 [17]0.543
   Hypertension177 [35]184 [48]<0.00150 [35]128 [37]0.817
   Osteoporosis22 [4]24 [6]0.1816 [4]19 [5]0.593
   GERD50 [10]41 [11]0.6299 [6]30 [9]0.417
   Dyslipidaemia53 [10]60 [16]0.01710 [7]35 [10]0.312
Pulmonary function test
   FVC, L3.73±0.602.85±0.49<0.0013.62±0.542.47±0.57<0.001
   FVC %pred92.1±9.370.9±6.6<0.00190.7±8.562.4±11.3<0.001
   FEV1, L1.86±0.391.65±0.33<0.0011.17±0.241.02±0.25<0.001
   FEV1%pred66.1±8.461.8±7.3<0.00142.2±5.837.6±7.7<0.001
   FEV1/FVC50.1±8.558.1±7.0<0.00132.5±5.142.2±10.1<0.001
   DLco14.2±4.514.3±4.60.82011.4±4.510.6±4.00.116
Six-minute walk test
   Distance, m414.5±100.1384.0±106.50.001377.1±106.1342.6±119.50.003
   SpO2, before test96.2±2.496.4±1.90.19495.8±2.195.4±3.00.160
   SpO2, after test94.6±4.094.5±7.80.72093.0±4.791.7±7.80.080

Two-sample t-tests were used for continuous variables, and chi-square or Fisher’s exact tests were used for categorical variables. COPD, chronic obstructive pulmonary disease; FVC, forced vital capacity; pred, predicted; BMI, body mass index; mMRC, modified Medical Research Council; CAT, COPD assessment test; SGRQ, St George’s respiratory questionnaire; BODE, body mass index, airflow obstruction, dyspnoea, and exercise capacity; TB, tuberculosis; PVD, peripheral vascular disease; GERD, gastroesophageal reflux disease; FEV1, forced expiratory volume in 1 second; DLco, diffusing capacity of the lung for carbon monoxide; SpO2, peripheral oxygen saturation.

Two-sample t-tests were used for continuous variables, and chi-square or Fisher’s exact tests were used for categorical variables. COPD, chronic obstructive pulmonary disease; FVC, forced vital capacity; pred, predicted; BMI, body mass index; mMRC, modified Medical Research Council; CAT, COPD assessment test; SGRQ, St George’s respiratory questionnaire; BODE, body mass index, airflow obstruction, dyspnoea, and exercise capacity; TB, tuberculosis; PVD, peripheral vascular disease; GERD, gastroesophageal reflux disease; FEV1, forced expiratory volume in 1 second; DLco, diffusing capacity of the lung for carbon monoxide; SpO2, peripheral oxygen saturation. With respect to pulmonary comorbidities, asthma was more common in patients with reduced FVC than in those with preserved FVC (P=0.044 for moderate COPD, P=0.004 for severe-to-very severe COPD). However, the prevalence of a history of previous tuberculosis infection was not different between the two groups. With respect to extrapulmonary comorbidities, patients with reduced FVC in the moderate COPD group were more likely to have peripheral vascular disease (P=0.002), diabetes mellitus (P=0.002), hypertension (P<0.001), and dyslipidemia (P=0.017) than those with preserved FVC. Among moderate and severe-to-very severe COPD patients, those with reduced FVC were more likely to have a higher BODE index score (P<0.001) than those with preserved FVC. In contrast, patients with reduced FVC were more likely to have lower FEV1 (L) (%pred) (P<0.001) and higher FEV1/FVC ratio (P<0.001) than those with preserved FVC. In addition, patients with reduced FVC were more likely to have shorter 6MWD (P<0.001 for moderate COPD, P=0.003 for severe-to-very severe COPD) than those with preserved FVC. However, there were no statistically significant differences in the mMRC score, CAT score, and SGRQ-C total score between patients with reduced FVC and those with preserved FVC.

Relationship between FVC and 6MWD in COPD patients

shows the relationship between FVC (%pred) and 6MWD evaluated using a cubic spline model. In moderate COPD patients, 6MWD steadily increased up to approximately 93% pred of FVC and plateaued (). While, in severe-to-very severe COPD patients, 6MWD steadily increased as FVC (%pred) increased (). The performance of FVC was comparable with that of FEV1 as a predictor for short 6MWD (area under the receiver operating characteristic curve: 0.682 for FVC, 0.694 for FEV1, P=0.301) (Figure S1). Similarly, as analyzed using multivariable logistic regression, the performance of FVC was comparable with that of FEV1 (Akaike’s Information Criterion: 1,500.322 for FVC, 1,491.202 for FEV1).
Figure 2

Cubic spline model for the relationship between 6-min walk distance and forced vital capacity, %predicted in patients with moderate and severe-to-very severe COPD. (A) Relationship in patients with moderate COPD. (B) Relationship in patients with severe-to-very severe COPD. COPD, chronic obstructive pulmonary disease.

Cubic spline model for the relationship between 6-min walk distance and forced vital capacity, %predicted in patients with moderate and severe-to-very severe COPD. (A) Relationship in patients with moderate COPD. (B) Relationship in patients with severe-to-very severe COPD. COPD, chronic obstructive pulmonary disease.

Impact of reduced FVC on 6MWD in moderate and severe-to-very severe COPD patients

As shown in , patients with reduced FVC were more likely to have a shorter 6MWD than those with preserved FVC in the moderate COPD group (22.4% vs. 32.7%; P=0.001) and in the severe-to-very severe COPD group (36.9% vs. 46.0%; P=0.065).
Table 2

Impact of reduced FVC on short 6MWD in patients with moderate COPD and severe-to-very severe COPD

Moderate COPD (n=895)Severe-to-very severe COPD (n=491)
FVC ≥80%pred (n=115/513, 22.4%)FVC <80%pred(n=125/382, 32.7%)FVC ≥80%pred (n=52/141, 36.9%)FVC <80%pred(n=161/350, 46.0%)
CrudeReference1.68 (1.25, 2.27)Reference1.46 (0.98, 2.18)
Model 1Reference1.43 (1.03, 1.98)Reference1.59 (1.04, 2.45)
Model 2Reference1.44 (1.03, 2.01)Reference1.60 (1.04, 2.46)
Model 3Reference1.44 (1.03, 2.02)Reference1.55 (1.01, 2.40)

Data are presented as OR and 95% CI. Model 1: adjusted for age, sex, and smoking status. Model 2: adjusted for age, sex, smoking status, and body mass index ≥25 kg/m2. Model 3: adjusted for age, sex, smoking status, body mass index ≥25 kg/m2, and asthma. Multivariable logistic regression was used and patients with FVC ≥80%pred were the reference group. FVC, forced vital capacity; pred, predicted; 6MWD, 6-min walk distance; COPD, chronic obstructive pulmonary disease; OR, odds ratio; CI, confidence interval.

Data are presented as OR and 95% CI. Model 1: adjusted for age, sex, and smoking status. Model 2: adjusted for age, sex, smoking status, and body mass index ≥25 kg/m2. Model 3: adjusted for age, sex, smoking status, body mass index ≥25 kg/m2, and asthma. Multivariable logistic regression was used and patients with FVC ≥80%pred were the reference group. FVC, forced vital capacity; pred, predicted; 6MWD, 6-min walk distance; COPD, chronic obstructive pulmonary disease; OR, odds ratio; CI, confidence interval. In moderate COPD patients, reduced FVC was significantly associated with short 6MWD [unadjusted OR =1.68, 95% confidence interval (CI): 1.25–2.27], which was persistent even after adjusting for confounders including age, sex, smoking status, BMI, and asthma (aOR in model 3 =1.44, 95% CI: 1.03–2.02). In severe-to-very severe COPD, reduced FVC was significantly associated with short 6MWD in the final model, which was adjusted for age, sex, smoking status, BMI, and asthma (aOR =1.55, 95% CI: 1.01–2.40).

Discussion

By using data from the KOCOSS cohort, we evaluated the association between FVC and exercise capacity measured using 6MWT in COPD patients. We observed that reduced FVC was significantly associated with short 6MWD in COPD patients with moderate (aOR =1.44, 95% CI: 1.03–2.02) and severe-to-very severe (aOR =1.55, 95% CI: 1.01–2.40) airflow limitations. 6MWD steadily increased in severe-to-very severe COPD patients, whereas the highest 6MWD value was observed at around 93% pred of FVC in moderate COPD patients. Reduced FVC has been reported to have a relationship with low exercise capacity in COPD. However, most previous studies reported that FVC was simply correlated with 6MWD without considering the severity of COPD (18,19,29,30). This study revealed the increase patterns were different between moderate COPD group and severe-to-very severe COPD group. In patients with moderate COPD, the exercise capacity did not improved beyond 93% pred of FVC, whereas, in patients with severe-to-very severe COPD, the exercise capacity was positively associated with FVC %pred in all ranges of FVC %pred. In a previous study with analysis based on COPD severity using Korea National Health and Nutritional Examination Survey data, reduced FVC was independently associated with behavior restrictions in the population with moderate COPD (21); however, behavior restrictions were assessed using a self-reported questionnaire. We extended this finding with objective measurement, 6MWT, and our data showed that reduced FVC was closely associated with short 6MWD, defined as a 6MWD of <350 m, in moderate COPD patients. We also showed that FVC %pred was associated with 6MWD in severe-to-very severe COPD patients, which was not captured with the self-reported questionnaire for behavior restriction in the previous study (21). Thus, preserved FVC may indicate better exercise capacity even in patients with severe-to-very severe COPD. We observed that higher FVC was associated with better exercise performance, indicating that higher FVC is an important predictor of better exercise capacity in COPD patients with severe-to-very severe airflow limitation. In COPD patients with moderate airflow limitation, however, exercise capacity steadily increased up to 93% pred of FVC, and plateaued, suggesting that the role of FVC in estimating exercise capacity would be limited when the FVC reached around 90% pred. It can be speculated by that 6MWT might have a ceiling effect (31) which influenced decreased discrimination power in moderate COPD patients with greater than 93% pred of FVC. Secondly, the relatively small number of moderate COPD patients with greater than 93% pred of FVC (n=239) may have led to imprecise estimates of 6WMD. Reduced FVC reflected a mixed pattern with both obstructive and restrictive components or air trapping of obstructive disease (32,33). Given that comorbidities and obesity influence the reduction of FVC in COPD patients (21,34,35), the higher prevalence of comorbidities and BMI in moderate COPD patients could affect reduced FVC, leading to a mixed disorder of lung function. Reduced FVC could also be associated with air-trapping-related pseudo-restriction (33); however, lung volume measurement data were partly (64%, 573/895) of moderate COPD, 55% (268/491) of severe-to-very severe COPD obtained in this study to identify hyperinflation and air trapping (33). Further studies with a measurement of total lung capacity might be helpful for further characterization of the underlying aetiologies of reduced FVC in COPD patients (36). The relevance of short 6MWD, defined as <350 m, has been emphasized in the previous studies (8,28). Below the threshold of 350 m, 6MWD was associated with increased risks of mortality, hospitalizations, and exacerbations (8,37). Accordingly, patients with reduced FVC showed higher BODE index scores than those with preserved FVC despite the similar mMRC score and higher BMI. Considering that symptoms quantified using mMRC, CAT, and SGRQ were similar between patients with reduced FVC and those with preserved FVC, clinicians need to pay more attention to impairment in FVC in addition to FEV1 to predict exercise capacity and other outcomes. This study has several limitations. First, the data were obtained from the cross-sectional KOCOSS cohort; therefore, the directionality of the relationship between reduced FVC and poor exercise capacity is uncertain. Further clinical studies with longitudinal follow-up are needed to confirm our observations. Second, as most of the patients were men with a history of smoking, it is difficult to generalize the results from this study to non-smokers or women with COPD. Last, potential confounding factors which could affect on FVC such as interstitial lung disease and cardiac disease could not be thoroughly investigated in this study due to lack of disease severity-related data such as chest computed tomography and echocardiography in the cohort. Further comprehensive evaluations are warranted.

Conclusions

In conclusion, reduced FVC is significantly associated with short 6MWD in moderate-to-very severe COPD, suggesting that reduced FVC might be reflective of exercise capacity measured by 6MWD. Further studies on the clinical relevance of reduced FVC are warranted. The article’s supplementary files as
  32 in total

1.  Six-minute walking versus shuttle walking: responsiveness to bronchodilation in chronic obstructive pulmonary disease.

Authors:  Véronique Pepin; Julie Brodeur; Yves Lacasse; Julie Milot; Pierre Leblanc; François Whittom; François Maltais
Journal:  Thorax       Date:  2006-11-10       Impact factor: 9.139

Review 2.  An official systematic review of the European Respiratory Society/American Thoracic Society: measurement properties of field walking tests in chronic respiratory disease.

Authors:  Sally J Singh; Milo A Puhan; Vasileios Andrianopoulos; Nidia A Hernandes; Katy E Mitchell; Catherine J Hill; Annemarie L Lee; Carlos Augusto Camillo; Thierry Troosters; Martijn A Spruit; Brian W Carlin; Jack Wanger; Véronique Pepin; Didier Saey; Fabio Pitta; David A Kaminsky; Meredith C McCormack; Neil MacIntyre; Bruce H Culver; Frank C Sciurba; Susan M Revill; Veronica Delafosse; Anne E Holland
Journal:  Eur Respir J       Date:  2014-10-30       Impact factor: 16.671

3.  Changes in physical activity and all-cause mortality in COPD.

Authors:  Anouk W Vaes; Judith Garcia-Aymerich; Jacob L Marott; Marta Benet; Miriam T J Groenen; Peter Schnohr; Frits M E Franssen; Jørgen Vestbo; Emiel F M Wouters; Peter Lange; Martijn A Spruit
Journal:  Eur Respir J       Date:  2014-07-25       Impact factor: 16.671

4.  Correlation between Six Minute Walk Test and Spirometry in Chronic Pulmonary Disease.

Authors:  Mitali Bharat Agrawal; Nilkanth Tukaram Awad
Journal:  J Clin Diagn Res       Date:  2015-08-01

Review 5.  An official European Respiratory Society/American Thoracic Society technical standard: field walking tests in chronic respiratory disease.

Authors:  Anne E Holland; Martijn A Spruit; Thierry Troosters; Milo A Puhan; Véronique Pepin; Didier Saey; Meredith C McCormack; Brian W Carlin; Frank C Sciurba; Fabio Pitta; Jack Wanger; Neil MacIntyre; David A Kaminsky; Bruce H Culver; Susan M Revill; Nidia A Hernandes; Vasileios Andrianopoulos; Carlos Augusto Camillo; Katy E Mitchell; Annemarie L Lee; Catherine J Hill; Sally J Singh
Journal:  Eur Respir J       Date:  2014-10-30       Impact factor: 16.671

6.  The impact of low forced vital capacity on behavior restrictions in a population with airflow obstruction.

Authors:  Noeul Kang; Sun Hye Shin; Seonhye Gu; Danbee Kang; Juhee Cho; Ho Jung Jeong; Gee Young Suh; Hyun Lee; Hye Yun Park
Journal:  J Thorac Dis       Date:  2019-04       Impact factor: 2.895

7.  Analysis of the factors related to mortality in chronic obstructive pulmonary disease: role of exercise capacity and health status.

Authors:  Toru Oga; Koichi Nishimura; Mitsuhiro Tsukino; Susumu Sato; Takashi Hajiro
Journal:  Am J Respir Crit Care Med       Date:  2002-11-21       Impact factor: 21.405

8.  Lung function impairment and metabolic syndrome: the critical role of abdominal obesity.

Authors:  Nathalie Leone; Dominique Courbon; Frédérique Thomas; Kathy Bean; Bertrand Jégo; Bénédicte Leynaert; Louis Guize; Mahmoud Zureik
Journal:  Am J Respir Crit Care Med       Date:  2009-01-08       Impact factor: 21.405

9.  Phenotype of Spirometric Impairment in an Aging Population.

Authors:  Carlos A Vaz Fragoso; Gail McAvay; Peter H Van Ness; Richard Casaburi; Robert L Jensen; Neil MacIntyre; H Klar Yaggi; Thomas M Gill; John Concato
Journal:  Am J Respir Crit Care Med       Date:  2016-04-01       Impact factor: 21.405

10.  The relationship between exercise capacity and different functional markers in pulmonary rehabilitation for COPD.

Authors:  Maria Kerti; Zsuzsanna Balogh; Krisztina Kelemen; Janos T Varga
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2018-02-28
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.