help button home button
AJRCCM
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS

Published ahead of print on January 26, 2006, doi:10.1164/rccm.200508-1344OC
This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Online Supplement
Right arrow All Versions of this Article:
200508-1344OCv1
173/9/985    most recent
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Mannino, D. M.
Right arrow Articles by Davis, K. J.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Mannino, D. M.
Right arrow Articles by Davis, K. J.
American Journal of Respiratory and Critical Care Medicine Vol 173. pp. 985-990, (2006)
© 2006 American Thoracic Society
doi: 10.1164/rccm.200508-1344OC


Original Article

Lung Function Decline and Outcomes in an Adult Population

David M. Mannino, Matthew M. Reichert and Kourtney J. Davis

Division of Pulmonary and Critical Care Medicine, University of Kentucky Medical Center, Lexington, Kentucky; and GlaxoSmithKline Research and Development, Research Triangle Park, North Carolina

Correspondence and requests for reprints should be addressed to David M. Mannino, M.D., Division of Pulmonary and Critical Care Medicine, University of Kentucky Medical Center, 800 Rose Street, MN 614, Lexington, KY 40536. E-mail: dmannino{at}uky.edu


    ABSTRACT
 TOP
 ABSTRACT
 METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Rationale: Chronic obstructive pulmonary disease (COPD) is an important cause of morbidity and mortality.

Objectives: To determine risk factors for and outcomes of rapid lung function decline in a cohort of adults in the United States.

Methods: We analyzed data from 15,536 adults aged 44–66 yr in the Atherosclerosis Risk in Communities study. We used Cox proportional hazard models to determine the risk of rapid lung function decline at 3 yr on mortality and COPD hospitalizations over the subsequent 8 yr.

Measurements and Main Results: Of those in the baseline cohort, 13,756 (88.5%) had spirometry at the Year 3 visit. The strongest risk factors for not having a follow-up spirometry were as follows: having Global Initiative for Chronic Obstructive Lung Disease (GOLD) stage 3 or 4 disease at baseline (adjusted odds ratio [OR] 2.8; 95% confidence interval [CI], 2.1–3.8), being black (adjusted OR, 2.4; 95% CI, 2.1–2.7), and being a current smoker (adjusted OR, 1.8; 95% CI, 1.5–2.0). Participants with GOLD stage 3 or 4 disease were also more likely to be in the most rapidly declining lung function quartile (adjusted OR, 3.7; 95% CI, 2.7–5.0). Overall, participants with the most rapidly declining lung function had a modestly increased risk of death (adjusted hazard ratio, 1.4; 95% CI, 1.2–1.7) and time to a COPD-related hospitalization (adjusted hazard ratio, 1.4; 95% CI, 1.2–1.8).

Conclusion: Rapid lung function decline was independently associated with a modest increased risk of COPD hospitalizations and deaths.

Key Words: chronic obstructive pulmonary disease • lung function • mortality

Chronic obstructive pulmonary disease (COPD) is an important cause of morbidity and mortality in the United States and worldwide (13). The magnitude of this disease spurred the Global Initiative for Chronic Obstructive Lung Disease (GOLD) in 2001 (4). From this initiative came a standardized staging system for COPD based on FEV1 and the FEV1/FVC ratio (5). The purpose of this staging system was to improve investigation and management of this complex disease. Many other parameters, such as patient age, resting oxygen saturation, body mass index, symptoms, and exercise capacity have also been assessed for their values as predictors of morbidity or mortality in COPD (69).

Because lung function testing has been the standard for diagnosis and staging of COPD, other indices are often evaluated in comparison to FEV1 (10, 11). Previously, dyspnea symptoms and 6-min walk distance were both studied and found to be superior to FEV1 in predicting mortality (1214). Recently, the body mass, obstruction, dyspnea, and exercise (BODE) index was evaluated by Celli and colleagues and found to be of greater predictive value than FEV1 alone (6).

The original use of FEV1 decline rate as a marker of chronic respiratory disease progression was developed by Fletcher and coworkers nearly three decades ago (15). More recently, publications by Anthonisen and colleagues and Burrows and colleagues addressed prognostic factors in COPD, including age, FEV1, dyspnea symptoms, poor bronchodilator response, functional reserve capacity, exercise tolerance, exercise heart rate, continued smoking, and decline in FEV1 (16, 17). More contemporary work has examined additional factors, such as asthma, diet, and comorbid disease, which are important in the decline of lung function (1820).

Our purpose in this study was to evaluate lung function decline as a predictor of morbidity and mortality in a population both with and without COPD. We used data from 15,536 people involved in the Atherosclerosis Risk in Communities (ARIC) study. These participants underwent baseline spirometry, which was repeated at 3 yr, the second visit in this study. The cohort was followed for 8 yr after the second spirometry assessment. Data from this study have previously been used to evaluate the GOLD criteria's predictive value for morbidity and mortality (21). In this analysis, we hypothesized that lung function decline is an independent predictor of morbidity and mortality and that its predictive value is superior to FEV1 alone.


    METHODS
 TOP
 ABSTRACT
 METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Study Population
The ARIC study was initiated in 1986 as a longitudinal, population-based study of the etiology and clinical sequelae of atherosclerosis. Study protocols were approved for protection of human subjects. Details of the ARIC study are published elsewhere (22). Our analysis was limited to ARIC participants ages 44 to 66 yr, who provided baseline information on respiratory symptoms and diagnoses, who underwent pulmonary function testing at the baseline examination, and for whom follow-up data were available (n = 15,536).

Pulmonary Function Data
Spirometry was conducted using contemporary American Thoracic Society guidelines (23). We developed internal prediction equations for FEV1 and FVC following standard methods (24). We used a modification of the criteria developed by GOLD (4) to classify subjects according to their GOLD stages of COPD, adding a "restricted" category (FEV1/ FVC >= 70% and FVC < 80% predicted). We defined a subject as having a respiratory symptom if he or she reported cough, phlegm, dyspnea, or wheeze.

Rapid decliners in lung function were determined on the basis of lung function values at the baseline evaluation and at the first follow-up examination at approximately 3 yr. We determined the quartiles of the change (determined as an annualized percent change from the baseline level) in the FEV1 and classified those in the most negative category as "rapid decliners" and the other three categories as the referent group.

Variable Definition
Smoking status, body mass index (25), and educational level were classified using standard definitions. Heart disease was considered present if the subject self-reported a myocardial infarction, had been hospitalized for a myocardial infarction, or had evidence on the electrocardiogram of a myocardial infarction. ARIC used a modification of the Baecke questionnaire to assess physical activity (26, 27).

Analysis
All analyses were conducted with SAS version 8.2 (SAS Institute, Cary, NC), SUDAAN version 8.0 (RTI, Research Triangle Park, NC), and SPSS version 10 (SPSS, Inc., Chicago, IL). We developed logistic regression models to predict which participants lacked spirometry measurements at the follow-up visit and to predict risk factors for subjects being in the group with the most rapidly declining lung function.

Our primary outcome of interest in the two separate Cox proportional hazard regression models was time to death or the time to the first COPD-related hospitalization that occurred during the 8 yr of follow-up. For deaths, the exit date was the date of death reported on the death certificate, and, for survivors, the exit date was the date the participant was last known to be alive. For COPD-related hospitalizations, the exit date was either the first COPD-related hospitalization, death, or the date the person was last known to be alive. Age, sex, race, smoking status, education level, body mass index, heart disease, education level, respiratory symptoms at the second visit, and physical activity level were included in the adjusted models. Analyses were also done on subsets of subjects stratified by lung function and stratified by sex.

An expansion of the methods is available on the online supplement.


    RESULTS
 TOP
 ABSTRACT
 METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Of the original 15,792 subjects in the ARIC cohort, 146 did not have adequate pulmonary function testing at the baseline examination and another 110 were missing data on key variables in our analysis, leaving 15,536 (98.4%) subjects available for analysis.

The demographic characteristics of the population are displayed in Table 1. Overall, 281 (1.8%) of subjects were in GOLD stage 3 or 4 at baseline, and an additional 1,486 (9.6%) were in GOLD stage 2. Spirometry at the follow-up visit was available on 13,756 (88.5%) of subjects in the cohort. The strongest predictors of not having a spirometry at 3 yr included having GOLD stage 3 or 4 COPD at baseline (odds ratio [OR], 2.8; 95% confidence interval [CI], 2.1–3.8), being black (OR, 2.4; 95% CI, 2.1–2.7), and being a current smoker at baseline (OR, 1.8; 95% CI 1.5–2.0). Data from all of the variables used in the analysis are available in the online supplement.


View this table:
[in this window]
[in a new window]
 
TABLE 1. DEMOGRAPHIC DISTRIBUTION OF STUDY PARTICIPANTS, PROPORTION WITHOUT SPIROMETRY AT 3 yr, THE PROPORTION OF SUBJECTS IN THE MOST RAPIDLY DECLINING QUARTILE OF THE FEV1, AND RESULTS FROM MULTIVARIABLE LOGISTIC REGRESSION MODELS

 
Mean annual loss of FEV1 in the overall cohort was 62 ml. The mean loss of FEV1 as a percentage of the baseline value was 1.5% annually. Participants in the most rapidly declining quartile of FEV1 had a mean annual loss of 171 ml, which was 4.7% of the baseline level per year (Table 2). All of the subjects in this group lost at least 2.7% of their baseline FEV1 annually. The strongest risk factors for being in the rapidly declining quartile of FEV1 included having GOLD stage 3 or 4 COPD at baseline (OR, 3.7; 95% CI 2.7–5.0) and having GOLD stage 2 COPD at baseline (OR, 2.6; 95% CI, 2.3–3.0), although being 50 or older, female, and of black race were also significant (Table 1).


View this table:
[in this window]
[in a new window]
 
TABLE 2. MEAN ANNUALIZED CHANGE (SD) IN LUNG FUNCTION PARAMETER BY QUARTILES OF FEV1 DECLINE

 
Overall, rapid decline of lung function was a predictor of death (hazard ratio [HR], 1.4. 95% CI, 1.2–1.7; Table 3). In the unadjusted calculation of deaths per person-year, people who were classified as GOLD stage 3 or 4 at baseline who were "rapid decliners" died at a rate of 45.0 per 1,000 person-years, 10 times higher than those with normal lung function at baseline without rapid lung function decline, with a mortality rate of 4.5 per 1,000 person-years. Of the 720 deaths in the cohort, 251 (35%) were from cardiovascular disease, 95 (13%) were from lung cancer, and 24 (3%) were from COPD. A total of 273 (38%) of the deaths were in the 25% of the subjects we classified as "rapid decliners."


View this table:
[in this window]
[in a new window]
 
TABLE 3. DEATH RATE AND TIME TO DEATH (FROM COX PROPORTIONAL HAZARD MODELS), STRATIFIED BY BASELINE PULMONARY FUNCTION AND RAPID DECLINE IN FEV1

 
In the stratified analyses that adjusted for covariates, the risk of rapid lung function decline for death varied by baseline lung function, and the effect was strongest in subjects who were "restricted" at baseline (HR, 1.9; 95% CI, 1.2–3.0; Table 3). In the overall model examining the interaction between baseline level of lung function and rapid lung function decline (Figure 1), an effect of both baseline lung function and lung function decline could be seen. Results in the overall cohort, stratified by sex showed a large overlap between men (HR, 1.3; 95% CI, 1.1–1.7) and women (HR, 1.5; 95% CI, 1.2–1.9).


Figure 1
View larger version (8K):
[in this window]
[in a new window]
 
Figure 1. Time to death from adjusted Cox proportional hazard models by baseline pulmonary function and rapid decline in the FEV1. Reference group is "normal" subjects without rapid lung function decline (risk of 1). Models adjusted for age, sex, race, smoking status, body mass index, education level, cardiovascular disease, respiratory symptoms at the second visit, and physical activity level. From the Atherosclerosis Risk in Communities Study 1986–1989 and follow-up through 1997. Modified Global Initiative for Chronic Obstructive Lung Disease (GOLD) stage 3 or 4 (FEV1/FVC < 0.70 and FEV1 < 50% predicted), GOLD stage 2 (FEV1/FVC < 0.70 and FEV1 >= 50 to < 80% predicted), GOLD stage 1 (FEV1/FVC < 0.70 and FEV1 >= 80%), restricted (FEV1/FVC >= 0.70 and FVC < 80% predicted), GOLD stage 0 (presence of respiratory symptoms in the absence of any lung function abnormality), and no lung disease.

 
Similarly, rapid decline of lung function was a predictor of time to COPD-related hospitalization (HR, 1.4; 95% CI, 1.2–1.8; Table 4). In the unadjusted calculation of COPD-related hospitalizations per person-year, people who were classified as GOLD stage 3 or 4 at baseline who were rapid decliners were hospitalized at a rate of 62.9 per 1,000 person-years, more than 40 times higher than those with normal lung function at baseline without rapid lung function decline, with a rate of 1.4 per 1,000 person-years. In the stratified analyses that adjusted for covariates, the risk of rapid lung function decline for COPD-related hospitalization was strongest in subjects who were GOLD stage 0 at baseline (HR, 1.9; 95% CI, 1.2–3.0; Table 4, Figure 2). Results in the overall cohort, stratified by sex showed a large overlap between men (HR, 1.4; 95% CI, 1.03–1.9) and women (HR, 1.7; 95% CI, 1.2–2.3).


Figure 2
View larger version (9K):
[in this window]
[in a new window]
 
Figure 2. Time to chronic obstructive pulmonary disease–related hospitalization from adjusted Cox proportional hazard models by baseline pulmonary function and rapid decline in the FEV1. Reference group is "normal" subjects without rapid lung function decline (risk of 1). Models were adjusted for age, sex, race, smoking status, body mass index, education level, cardiovascular disease, respiratory symptoms at the second visit, and physical activity level. From the Atherosclerosis Risk in Communities Study 1986–1989 and follow-up through 1997. Modified GOLD stage 3 or 4 (FEV1/FVC < 0.70 and FEV1 < 50% predicted), GOLD stage 2 (FEV1/FVC < 0.70 and FEV1 >= 50 to < 80% predicted), GOLD stage 1 (FEV1/FVC < 0.70 and FEV1 >= 80%), restricted (FEV1/FVC >= 0.70 and FVC < 80% predicted), GOLD stage 0 (presence of respiratory symptoms in the absence of any lung function abnormality), and no lung disease.

 

View this table:
[in this window]
[in a new window]
 
TABLE 4. HOSPITALIZATION RATE FOR CHRONIC OBSTRUCTIVE PULMONARY DISEASE AND TIME TO A CHRONIC OBSTRUCTIVE PULMONARY DISEASE–RELATED HOSPITALIZATION (FROM COX PROPORTIONAL HAZARD MODELS), STRATIFIED BY BASELINE PULMONARY FUNCTION AND RAPID DECLINE IN THE FEV1

 

    DISCUSSION
 TOP
 ABSTRACT
 METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
In this analysis of data from more than 15,000 adults in the United States, we found that FEV1 decline was a significant predictor of both COPD-related hospitalizations and all-cause deaths. However, the predictive value of being a rapid decliner over 3 yr, as defined in this study, varied by a person's baseline lung function and was influenced by missing data from people in whom we could not determine lung function decline. An interesting finding was that having a more rapid FEV1 decline was a stronger predictor of death or COPD-related hospitalizations among subjects who had GOLD stage 0 disease or were restricted at baseline than in people with more severe disease (Figures 1 and 2, Tables 3 and 4).

Prior analysis of the ARIC cohort revealed that all GOLD stages are associated with increased risk of morbidity and mortality (21). In the baseline cohort, almost half (46%) of the 15,792 subjects were either GOLD stages 0 through 4 or had restrictive spirometry. Of this group, about 75% of the subjects were stage 0 or 1, or restrictive at baseline (21). Thus, these groups represent a large population that would likely benefit from further risk reduction. Addition of other indices such as body mass index and exercise capacity furthers the risk assessment by accounting for systemic manifestations of COPD as evidenced by Celli and colleagues (6).

Our data suggest that rapid decline in FEV1 provides important information about COPD because it directly addresses disease progression, especially in those patients with either restrictive spirometry or GOLD stage 0 COPD. The mean loss of lung function in our cohort was 62 ml of FEV1 annually. This is higher than mean losses reported in other cohorts of 26 ml annually in the Honolulu Heart Cohort (28), 30 to 40 ml annually in the Busselton Health Study (20), 38 ml in the Nottingham study (19), and 22 to 38 ml annually in the Copenhagen City Heart Study (18). This difference is probably related to several factors, including the shorter interval between spirometry and the presence of only two measurements in the ARIC study.

This analysis also demonstrated unique features of subjects classified as having restrictive spirometry. For example, people classified as "restrictive" at baseline were less likely to be rapid decliners (Table 1), yet people with restriction who were rapid decliners had one of the highest risks for death and COPD-related hospitalizations (Tables 3 and 4, Figures 1 and 2). This is probably related to the many comorbid conditions, such as diabetes, obesity, and congestive heart failure, present in people with restriction on spirometry (29). One possible explanation for this finding is that worsening lung function in people with restriction is mainly driven by a worsening of the underlying comorbid condition that then results in worse outcomes.

This analysis had certain limitations. The primary limitation was that spirometry was measured at only two points. It is possible that people may have had a really good day or really bad day at either the baseline or follow-up examination, influencing our results. Our main way of dealing with this limitation was the use of two categories to classify participants with regard to lung function decline. Thus, a person who may have, falsely, had a very rapid decline, would still just be classified as a "rapid decliner" as opposed to a "very rapid decliner." Somewhat reassuring is that, with this approach, people who one would expect to have a more rapid decline (i.e., the elderly, current smokers, people with impaired lung function) did. Second, ARIC participants underwent prebronchodilator studies only. This may have affected the staging of participants in that those with reversible disease could have a falsely low FEV1 based on their prebronchodilator lung function. Two prior studies used post-bronchodilator FEV1 for this reason (16, 17). Also, treatment was not taken into account in this study. Pharmacologic treatment for COPD often bases its efficacy on the ability to influence FEV1. Although there are contradictory studies, inhaled steroids, beta2 agonists, and anticholinergic agents have all been shown to have this effect to some degree (3032). This raises the concern that by classifying decline in FEV1 by quartiles, we may have inadvertently separated patients based on their level of medical care.

Another potential source of error is survival bias. For patients to be assessed for degree of decline in FEV1, they must survive and be healthy enough to attend the 3-yr follow-up and undergo spirometry. Thus participants with the most rapidly declining lung function may be underrepresented in this study because of the inability to obtain follow-up spirometry. However, because this source of error underestimates the predictive value of rapid decline in FEV1, it would bias the study against finding an effect. Of note, in both the Fletcher and Peto study (15) and the Busselton study (20), a large proportion of subjects were excluded from the analytic database because of missing data, either because the subjects died before follow-up or were too ill to participate and undergo spirometry.

Interestingly, the groups in which rapid decline in FEV1 showed the greatest predictive value for death and hospitalization were also those least likely to be affected by the sources of error listed previously. These subsets were subjects with GOLD stage 0 and those with restrictive disease. Patients with falsely elevated GOLD staging based on lack of post-bronchodilator spirometry would be less likely to be included in these groups. Patients in these groups would also be less likely to be treated with medication overall. The GOLD recommendations for treatment in stage 0 and 1 are smoking cessation and possibly short-acting bronchodilator as needed. There is no recommendation for corticosteroids or anticholinergic agents in these stages. Therefore, separation based on medical care would presumably be least in these groups. In addition, because survival was highest these groups, survival bias should be least in these subsets. In the study by Anthonisen and colleagues, correlates with FEV1 were sought only in the least impaired group to minimize the effects of survival bias (16).

Conclusions
In this large population of a prospectively followed middle-aged population in the United States, rapid decline in the FEV1 was associated with a higher risk of death and COPD hospitalization. The impact of rapid decline in FEV1 was stronger in adults with normal or near-normal lung function at baseline, suggesting that this group of people may need more frequent screening and interventions beyond what is recommended.


    Acknowledgments
 
The authors thank the staff and participants in the Atherosclerosis Risk in Communities study for their important contributions. The authors also thank Dana Hazen, Kara Guiliani Cecil, and Rebecca Copeland for their valuable contributions to this work.


    FOOTNOTES
 
Supported by a research grant from GlaxoSmithKline. The ARIC study is conducted and supported by the National Heart Lung and Blood Institute in collaboration with the ARIC Investigators.

This article was not prepared in collaboration with investigators of the ARIC and does not necessarily reflect the opinions or views of the ARIC or the NHLBI.

This article has an online supplement, which is accessible from this issue's table of contents at www.atsjournals.org

Originally Published in Press as DOI: 10.1164/rccm.200508-1344OC on January 26, 2006

Conflict of Interest Statement: D.M.M. serves on advisory boards for Boehringer Ingelheim, GlaxoSmithKline (GSK), and Ortho Biotech; he is on the speaker's bureau for Boehringer Ingelheim, Pfizer, and Dey, and has received grants from GSK and Pfizer. M.M.R. does not have a financial relationship with a commercial entity that has an interest in the subject of this manuscript. K.J.D. is a current employee of GSK R&D and owns GSK stock options.

Received in original form August 30, 2005; accepted in final form January 26, 2006


    REFERENCES
 TOP
 ABSTRACT
 METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 

  1. Chen JC, Mannino DM. Worldwide epidemiology of chronic obstructive pulmonary disease. Curr Opin Pulm Med 1999;5:93–99.[CrossRef][Medline]
  2. Pauwels RA, Rabe KF. Burden and clinical features of chronic obstructive pulmonary disease (COPD). Lancet 2004;364:613–620.[CrossRef][Medline]
  3. Gulsvik A. The global burden and impact of chronic obstructive pulmonary disease worldwide. Monaldi Arch Chest Dis 2001;56:261–264.[Medline]
  4. Pauwels RA, Buist AS, Calverley PM, Jenkins CR, Hurd SS. Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease: NHLBI/WHO Global Initiative for Chronic Obstructive Lung Disease (GOLD) workshop summary. Am J Respir Crit Care Med 2001;163:1256–1276.[Free Full Text]
  5. Celli BR, MacNee W. Standards for the diagnosis and treatment of patients with COPD: a summary of the ATS/ERS position paper. Eur Respir J 2004;23:932–946.[Free Full Text]
  6. Celli BR, Cote CG, Marin JM, Casanova C, de Oca MM, Mendez RA, Pinto Plata V, Cabral HJ. The body-mass index, airflow obstruction, dyspnea, and exercise capacity index in chronic obstructive pulmonary disease. N Engl J Med 2004;350:1005–1012.[Abstract/Free Full Text]
  7. Pistelli R, Lange P, Miller DL. Determinants of prognosis of COPD in the elderly: mucus hypersecretion, infections, cardiovascular comorbidity. Eur Respir J Suppl 2003;40:10s–14s.[Medline]
  8. Cano NJ, Pichard C, Roth H, Court-Fortune L, Cynober M, Gerard-Boncompain H, Cuvelier A, Laaban JP, Melchior JC, Raphael JC, et al. C-reactive protein and body mass index predict outcome in end-stage respiratory failure. Chest 2004;126:540–546.[Abstract/Free Full Text]
  9. Almagro P, Calbo E, de Echaguen AO, Barreiro B, Quintana S, Heredia JL, Garau J. Mortality after hospitalization for COPD. Chest 2002;121:1441–1448.[Abstract/Free Full Text]
  10. Tsoumakidou M, Tzanakis N, Voulgaraki O, Mitrouska I, Chrysofakis G, Samiou M, Siafakas NM. Is there any correlation between the ATS, BTS, ERS and GOLD COPD's severity scales and the frequency of hospital admissions? Respir Med 2004;98:178–183.[CrossRef][Medline]
  11. Garcia-Aymerich J, Marrades RM, Monso E, Barreiro E, Farrero E, Anto JM. Paradoxical results in the study of risk factors of chronic obstructive pulmonary disease (COPD) re-admission. Respir Med 2004;98:851–857.[Medline]
  12. Nishimura K, Izumi T, Tsukino M, Oga T. Dyspnea is a better predictor of 5-year survival than airway obstruction in patients with COPD. Chest 2002;121:1434–1440.[Abstract/Free Full Text]
  13. Gibbons L, Shapiro SH, Martin JG, Graydonald K. Predictors of mortality in severe chronic obstructive pulmonary-disease (COPD). Am J Epidemiol 1990;132:821.
  14. Pinto-Plata VM, Cote C, Cabral H, Taylor J, Celli BR. The 6-min walk distance: change over time and value as a predictor of survival in severe COPD. Eur Respir J 2004;23:28–33.[Abstract/Free Full Text]
  15. Fletcher C, Peto R, Tinker CM, Speizer FE. The natural history of chronic bronchitis and emphysema. Oxford, UK: Oxford University Press; 1976.
  16. Anthonisen NR, Wright EC, Hodgkin JE. Prognosis in chronic obstructive pulmonary disease. Am Rev Respir Dis 1986;133:14–20.[Medline]
  17. Burrows B. Predictors of loss of lung function and mortality in obstructive lung diseases. Eur Respir Rev 1991;1:340–345.
  18. Lange P, Parner J, Vestbo J, Schnohr P, Jensen G. A 15-year follow-up study of ventilatory function in adults with asthma. N Engl J Med 1998;339:1194–1200.[Abstract/Free Full Text]
  19. McKeever TM, Scrivener S, Broadfield E, Jones Z, Britton J, Lewis SA. Prospective study of diet and decline in lung function in a general population. Am J Respir Crit Care Med 2002;165:1299–1303.[Abstract/Free Full Text]
  20. Ryan G, Knuiman MW, Divitini ML, James A, Musk AW, Bartholomew HC. Decline in lung function and mortality: the Busselton Health Study. J Epidemiol Community Health 1999;53:230–234.[Abstract]
  21. Mannino DM, Doherty DE, Sonia BA. Global Initiative on Obstructive Lung Disease (GOLD) classification of lung disease and mortality: findings from the Atherosclerosis Risk in Communities (ARIC) study. Respir Med 2006;100:115–122.[CrossRef][Medline]
  22. Atherosclerosis Risk in Communities Study. Design and objectives: the ARIC investigators. Am J Epidemiol 1989;129:687–702.[Abstract/Free Full Text]
  23. American Thoracic Society. Standardization of spirometry. Am Rev Respir Dis 1979;119:831–838.[Medline]
  24. American Thoracic Society. Standardization of spirometry: 1994 update. Am J Respir Crit Care Med 1995;152:1107–1136.[Medline]
  25. Executive summary of the clinical guidelines on the identification, evaluation, and treatment of overweight and obesity in adults. Arch Intern Med 1998;158:1855–1867.[Free Full Text]
  26. Baecke JA, Burema J, Frijters JE. A short questionnaire for the measurement of habitual physical activity in epidemiological studies. Am J Clin Nutr 1982;36:936–942.[Abstract/Free Full Text]
  27. Pereira MA, Folsom AR, McGovern PG, Carpenter M, Arnett DK, Liao D, Szklo M, Hutchinson RG. Physical activity and incident hypertension in black and white adults: the Atherosclerosis Risk in Communities Study. Prev Med 1999;28:304–312.[CrossRef][Medline]
  28. Burchfiel CM, Marcus EB, Sharp DS, Enright PL, Rodriguez BL, Masaki KH, Hwang LJ, Curb JD. Characteristics associated with rapid decline in forced expiratory volume. Ann Epidemiol 1996;6:217–227.[CrossRef][Medline]
  29. Mannino DM, Holguin F, Pavlin BI, Ferdinands JM. Risk factors for prevalence of and mortality related to restriction on spirometry: findings from the First National Health and Nutrition Examination Survey and follow-up. Int J Tuberc Lung Dis 2005;9:613–621.[Medline]
  30. Calverley P, Pauwels R, Vestbo J, Jones P, Pride N, Gulsvik A, Anderson J, Maden C. Combined salmeterol and fluticasone in the treatment of chronic obstructive pulmonary disease: a randomised controlled trial. Lancet 2003;361:449–456.[CrossRef][Medline]
  31. Donohue JF, Kalberg C, Emmett A, Merchant K, Knobil K. A short-term comparison of fluticasone propionate/salmeterol with ipratropium bromide/albuterol for the treatment of COPD. Treat Respir Med 2004;3:173–181.[CrossRef][Medline]
  32. van Grunsven P, Schermer T, Akkermans R, Albers M, van den Boom G, van Schayck O, van Herwaarden C, van Weel C. Short- and long-term efficacy of fluticasone propionate in subjects with early signs and symptoms of chronic obstructive pulmonary disease: results of the DIMCA study. Respir Med 2003;97:1303–1312.[Medline]



This article has been cited by other articles:


Home page
Postgrad. Med. J.Home page
R P Young, R Hopkins, and T E Eaton
Potential benefits of statins on morbidity and mortality in chronic obstructive pulmonary disease: a review of the evidence
Postgrad. Med. J., August 1, 2009; 85(1006): 414 - 421.
[Abstract] [Full Text] [PDF]


Home page
Am. J. Respir. Crit. Care Med.Home page
R. Kohansal, P. Martinez-Camblor, A. Agusti, A. S. Buist, D. M. Mannino, and J. B. Soriano
The Natural History of Chronic Airflow Obstruction Revisited: An Analysis of the Framingham Offspring Cohort
Am. J. Respir. Crit. Care Med., July 1, 2009; 180(1): 3 - 10.
[Abstract] [Full Text] [PDF]


Home page
Am J EpidemiolHome page
J. A. Nettleton, J. L. Follis, and M. B. Schabath
Coffee Intake, Smoking, and Pulmonary Function in the Atherosclerosis Risk in Communities Study
Am. J. Epidemiol., June 15, 2009; 169(12): 1445 - 1453.
[Abstract] [Full Text] [PDF]


Home page
Eur Respir JHome page
N. S. Godtfredsen, T. H. Lam, T. T. Hansel, M. E. Leon, N. Gray, C. Dresler, D. M. Burns, E. Prescott, and J. Vestbo
COPD-related morbidity and mortality after smoking cessation: status of the evidence
Eur. Respir. J., October 1, 2008; 32(4): 844 - 853.
[Abstract] [Full Text] [PDF]


Home page
ThoraxHome page
P-O Bridevaux, M W Gerbase, N M Probst-Hensch, C Schindler, J-M Gaspoz, and T Rochat
Long-term decline in lung function, utilisation of care and quality of life in modified GOLD stage 1 COPD
Thorax, September 1, 2008; 63(9): 768 - 774.
[Abstract] [Full Text] [PDF]


Home page
Am. J. Respir. Crit. Care Med.Home page
K. F. Rabe, B. Beghe, F. Luppi, and L. M. Fabbri
Update in Chronic Obstructive Pulmonary Disease 2006
Am. J. Respir. Crit. Care Med., June 15, 2007; 175(12): 1222 - 1232.
[Full Text] [PDF]


Home page
Eur. J. Cardiothorac. Surg.Home page
F. Leo, P. Scanagatta, P. Baglio, D. Radice, G. Veronesi, P. Solli, F. Petrella, and L. Spaggiari
The risk of pneumonectomy over the age of 70.: A case-control study
Eur. J. Cardiothorac. Surg., May 1, 2007; 31(5): 779 - 782.
[Abstract] [Full Text] [PDF]


Home page
Am. J. Respir. Crit. Care Med.Home page
P. H. Quanjer, J. P. Schouten, M. R. Miller, and G. Ruppel
Avoiding Bias in the Annualized Rate of Change of FEV1
Am. J. Respir. Crit. Care Med., February 1, 2007; 175(3): 291 - 292.
[Full Text] [PDF]


Home page
Am. J. Respir. Crit. Care Med.Home page
D. M. Mannino, M. M. Reichert, and K. J. Davis

Am. J. Respir. Crit. Care Med., February 1, 2007; 175(3): 292 - 292.
[Full Text] [PDF]


Home page
Am. J. Respir. Crit. Care Med.Home page
R. de Marco, S. Accordini, I. Cerveri, A. Corsico, J. M. Anto, N. Kunzli, C. Janson, J. Sunyer, D. Jarvis, S. Chinn, et al.
Incidence of Chronic Obstructive Pulmonary Disease in a Cohort of Young Adults According to the Presence of Chronic Cough and Phlegm
Am. J. Respir. Crit. Care Med., January 1, 2007; 175(1): 32 - 39.
[Abstract] [Full Text] [PDF]


This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Online Supplement
Right arrow All Versions of this Article:
200508-1344OCv1
173/9/985    most recent
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Mannino, D. M.
Right arrow Articles by Davis, K. J.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Mannino, D. M.
Right arrow Articles by Davis, K. J.


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Proc. Am. Thorac. Soc. Am. J. Respir. Cell Mol. Biol.
Copyright © 2006 American Thoracic Society