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1. Prevalence of chronic cough, its risk factors and population attributable risk in the Burden of Obstructive Lung Disease (BOLD) study: a multinational cross-sectional study

Author

Hafizi, Hasan, Aliko, Anila, Bardhi, Donika, Tafa, Holta, Thanasi, Natasha, Mezini, Arian, Teferici, Alma, Todri, Dafina, Nikolla, Jolanda, Kazasi, Rezarta, Cherkaski, Hamid Hacene, Bengrait, Amira, Haddad, Tabarek, Zgaoula, Ibtissem, Ghit, Maamar, Roubhia, Abdelhamid, Boudra, Soumaya, Atoui, Feryal, Yakoubi, Randa, Benali, Rachid, Bencheikh, Abdelghani, Ait-Khaled, Nadia, Jenkins, Christine, Marks, Guy, Bird, Tessa, Espinel, Paola, Hardaker, Kate, Toelle, Brett, Studnicka, Michael, Dawes, Torkil, Lamprecht, Bernd, Schirhofer, Lea, Islam, Akramul, Ahmed, Syed Masud, Islam, Shayla, Islam, Qazi Shafayetul, Mesbah-Ul-Haque, Chowdhury, Tridib Roy, Chatterjee, Sukantha Kumar, Mia, Dulal, Chandra Das, Shyamal, Rahman, Mizanur, Islam, Nazrul, Uddin, Shahaz, Islam, Nurul, Khatun, Luiza, Parvin, Monira, Khan, Abdul Awal, Islam, Maidul, Lawin, Herve, Kpangon, Arsene, Kpossou, Karl, Agodokpessi, Gildas, Ayelo, Paul, Fayomi, Benjamin, Mbatchou, Bertrand, Ashu, Atongno Humphrey, Tan, Wan C., Wang, Wen, Zhong, NanShan, Liu, Shengming, Lu, Jiachun, Ran, Pixin, Wang, Dali, Zheng, Jin-ping, Zhou, Yumin, Jogi, Rain, Laja, Hendrik, Ulst, Katrin, Zobel, Vappu, Lill, Toomas-Julius, Adegnika, Ayola Akim, Welte, Tobias, Bodemann, Isabelle, Geldmacher, Henning, SchwedaLinow, Alexandra, Gislason, Thorarinn, Benedikdtsdottir, Bryndis, Jorundsdottir, Kristin, Lovisa Gudmundsdottir, Gudmundsdottir, Sigrun, Gudmundsson, Gunnar, Rao, Mahesh, Koul, Parvaiz A., Malik, Sajjad, Hakim, Nissar A., Khan, Umar Hafiz, Chowgule, Rohini, Shetye, Vasant, Raphael, Jonelle, Almeda, Rosel, Tawde, Mahesh, Tadvi, Rafiq, Katkar, Sunil, Kadam, Milind, Dhanawade, Rupesh, Ghurup, Umesh, Juvekar, Sanjay, Hirve, Siddhi, Sambhudas, Somnath, Chaidhary, Bharat, Tambe, Meera, Pingale, Savita, Umap, Arati, Umap, Archana, Shelar, Nitin, Devchakke, Sampada, Chaudhary, Sharda, Bondre, Suvarna, Walke, Savita, Gawhane, Ashleshsa, Sapkal, Anil, Argade, Rupali, Gaikwad, Vijay, Salvi, Sundeep, Brashier, Bill, Londhe, Jyoti, Madas, Sapna, Aquart-Stewart, Althea, Aikman, Akosua Francia, Sooronbaev, Talant M., Estebesova, Bermet M., Akmatalieva, Meerim, Usenbaeva, Saadat, Kydyrova, Jypara, Bostonova, Eliza, Sheraliev, Ulan, Marajapov, Nuridin, Toktogulova, Nurgul, Emilov, Berik, Azilova, Toktogul, Beishekeeva, Gulnara, Dononbaeva, Nasyikat, Tabyshova, Aijamal, Mortimer, Kevin, Nyapigoti, Wezzie, Mwangoka, Ernest, Kambwili, Mayamiko, Chipeta, Martha, Banda, Gloria, Mkandawire, Suzgo, Banda, Justice, Loh, Li-Cher, Rashid, Abdul, Sholehah, Siti, Benjelloun, Mohamed C., Nejjari, Chakib, Elbiaze, Mohamed, El Rhazi, Karima, Wouters, E.F.M., Wesseling, G.J., Obaseki, Daniel, Erhabor, Gregory, Awopeju, Olayemi, Adewole, Olufemi, Gulsvik, Amund, Endresen, Tina, Svendsen, Lene, Nafees, Asaad A., Irfan, Muhammad, Fatmi, Zafar, Zahidie, Aysha, Shaukat, Natasha, Iqbal, Meesha, Idolor, Luisito F., de Guia, Teresita S., Francisco, Norberto A., Roa, Camilo C., Ayuyao, Fernando G., Tady, Cecil Z., Tan, Daniel T., Banal-Yang, Sylvia, Balanag, Vincent M., Jr., Reyes, Maria Teresita N., Dantes, Renato B., Amarillo, Lourdes, Berratio, Lakan U., Fernandez, Lenora C., Garcia, Gerard S., Naval, Sullian S., Reyes, Thessa, Roa, Camilo C., Jr., Sanchez, Flordeliza, Simpao, Leander P., Nizankowska-Mogilnicka, Ewa, Frey, Jakub, Harat, Rafal, Mejza, Filip, Nastalek, Pawel, Pajak, Andrzej, Skucha, Wojciech, Szczeklik, Andrzej, Twardowska, Magda, Barbara, Cristina, Rodrigues, Fatima, Dias, Herminia, Cardoso, Joao, Almeida, João, Matos, Maria Joao, Simão, Paula, Santos, Moutinho, Ferreira, Reis, Al Ghobain, M., Alorainy, H., El-Hamad, E., Al Hajjaj, M., Hashi, A., Dela, R., Fanuncio, R., Doloriel, E., Marciano, I., Safia, L., Bateman, Eric, Jithoo, Anamika, Adams, Desiree, Barnes, Edward, Freeman, Jasper, Hayes, Anton, Hlengwa, Sipho, Johannisen, Christine, Koopman, Mariana, Louw, Innocentia, Ludick, Ina, Olckers, Alta, Ryck, Johanna, Storbeck, Janita, Gunasekera, Kirthi, Wickremasinghe, Rajitha, Elsony, Asma, Elsadig, Hana A., Osman, Nada Bakery, Noory, Bandar Salah, Mohamed, Monjda Awad, Akasha Ahmed Osman, Hasab Alrasoul, Moham ed Elhassan, Namarig, El Zain, Abdel Mu’is, Mohamaden, Marwa Mohamed, Khalifa, Suhaiba, Elhadi, Mahmoud, Hassan, Mohand, Abdelmonam, Dalia, Janson, Christer, Olafsdottir, Inga Sif, Nisser, Katarina, SpetzNystrom, Ulrike, Hagg, Gunilla, Lund, GunMarie, Seemungal, Terence, Lutchmansingh, Fallon, Conyette, Liane, Harrabi, Imed, Denguezli, Myriam, Tabka, Zouhair, Daldoul, Hager, Boukheroufa, Zaki, Chouikha, Firas, Khalifa, Wahbi Belhaj, Kocabas, Ali, Hancioglu, Attila, Hanta, Ismail, Kuleci, Sedat, Turkyilmaz, Ahmet Sinan, Umut, Sema, Unalan, Turgay, Burney, Peter G.J., Gnatiuc, Louisa, Azar, Hadia, Patel, Jaymini, Amor, Caron, Potts, James, Tumilty, Michael, McLean, Fiona, Dudhaiya, Risha, Buist, A. Sonia, McBurnie, Mary Ann, Vollmer, William M., Gillespie, Suzanne, Sullivan, Sean, Lee, Todd A., Weiss, Kevin B., Jensen, Robert L., Crapo, Robert, Enright, Paul, Mannino, David M., Cain, John, Copeland, Rebecca, Hazen, Dana, Methvin, Jennifer, Abozid, Hazim, Burney, Peter, Hartl, Sylvia, Breyer-Kohansal, Robab, Al Ghobain, Mohammed, Denguezli, Meriam, Loh, Li Cher, Paraguas, Stefanni Nonna, Franssen, Frits M.E., Mannino, David, Anand, Mahesh Padukudru, Buist, Sonia, El Sony, Asma, Breyer, Marie-Kathrin, Burghuber, Otto C., Wouters, Emiel F.M., and Amaral, Andre F.S.

Published
2024
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2. Haemoglobin as a biomarker for clinical outcomes in chronic obstructive pulmonary disease.

Author

Balasubramanian, Aparna, Henderson, Robert J, Putcha, Nirupama, Fawzy, Ashraf, Raju, Sarath, Hansel, Nadia N, MacIntyre, Neil R, Jensen, Robert L, Kinney, Gregory L, Stringer, William W, Hersh, Craig P, Bowler, Russell P, Casaburi, Richard, Han, MeiLan K, Porszasz, Janos, Make, Barry J, McCormack, Meredith C, and Wise, Robert A

Abstract

In COPD, anaemia is associated with increased morbidity, but the relationship between haemoglobin over its entire observed range and morbidity is poorly understood. Such an understanding could guide future therapeutic targeting of haemoglobin in COPD management. Leveraging the COPDGene study, we conducted a cross-sectional analysis of haemoglobin from COPD participants, examining symptoms, quality of life, functional performance, and acute exacerbations of COPD (AECOPD). Haemoglobin was analysed both as a continuous variable and categorised into anaemia, normal haemoglobin, and polycythaemia groups. Fractional polynomial modelling was used for continuous analyses; categorical models were multivariable linear or negative binomial regressions. Covariates included demographics, comorbidities, emphysema, diffusing capacity, and airflow obstruction. From 2539 participants, 366 (14%) were identified as anaemic and 125 (5%) as polycythaemic. Compared with normal haemoglobin, anaemia was significantly associated with increased symptoms (COPD Assessment Test score: p=0.006, modified Medical Research Council (mMRC) Dyspnoea Score: p=0.001); worse quality of life (St. George's Respiratory Questionnaire (SGRQ) score: p

Published
2021

3. Diffusing Capacity of Carbon Monoxide in Assessment of COPD

Author

Balasubramanian, Aparna, MacIntyre, Neil R, Henderson, Robert J, Jensen, Robert L, Kinney, Gregory, Stringer, William W, Hersh, Craig P, Bowler, Russell P, Casaburi, Richard, Han, MeiLan K, Porszasz, Janos, Barr, R Graham, Make, Barry J, Wise, Robert A, and McCormack, Meredith C

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Chronic Obstructive Pulmonary Disease, Lung, Emphysema, Respiratory, Aged, Carbon Monoxide, Cross-Sectional Studies, Female, Forced Expiratory Volume, Humans, Male, Middle Aged, Pulmonary Diffusing Capacity, Pulmonary Disease, Chronic Obstructive, Respiratory Function Tests, Spirometry, COPD, pulmonary diffusing capacity, pulmonary gas exchange, Respiratory System, Cardiovascular medicine and haematology, Clinical sciences
Abstract

BackgroundDiffusing capacity of the lung for carbon monoxide (Dlco) is inconsistently obtained in patients with COPD, and the added benefit of Dlco testing beyond that of more common tools is unknown.ObjectiveThe goal of this study was to determine whether lower Dlco is associated with increased COPD morbidity independent of emphysema assessed via spirometry and CT imaging.MethodsData for 1,806 participants with COPD from the Genetic Epidemiology of COPD (COPDGene) study 5-year visit were analyzed, including pulmonary function testing, quality of life, symptoms, exercise performance, and exacerbation rates. Dlco percent predicted was primarily analyzed as a continuous variable and additionally categorized into four groups: (1) Dlco and FEV1 > 50% (reference); (2) only Dlco ≤ 50%; (3) only FEV1 ≤ 50%; and (4) both ≤ 50% predicted. Outcomes were modeled by using multivariable linear and negative binomial regression, including emphysema and FEV1 percent predicted among other confounders.ResultsIn multivariable analyses, every 10% predicted decrease in Dlco was associated with symptoms and quality of life (COPD Assessment Test, 0.53 [P < .001]; St. George's Respiratory Questionnaire, 1.67 [P < .001]; Medical Outcomes Study Short Form 36 Physical Function, -0.89 [P < .001]), exercise performance (6-min walk distance, -45.35 feet; P < .001), and severe exacerbation rate (rate ratio, 1.14; P < .001). When categorized, severe impairment in Dlco alone, FEV1 alone, or both Dlco and FEV1 were associated with significantly worse morbidity compared with the reference group (P < .05 for all outcomes).ConclusionsImpairment in Dlco was associated with increased COPD symptoms, reduced exercise performance, and severe exacerbation risk even after accounting for spirometry and CT evidence of emphysema. These findings suggest that Dlco should be considered for inclusion in future multidimensional tools assessing COPD.

Published
2019

5. Phenotype of Spirometric Impairment in an Aging Population

Author

Fragoso, Carlos A Vaz, McAvay, Gail, Van Ness, Peter H, Casaburi, Richard, Jensen, Robert L, MacIntyre, Neil, Yaggi, H Klar, Gill, Thomas M, and Concato, John

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Lung, Chronic Obstructive Pulmonary Disease, Clinical Research, Respiratory, Aged, Aged, 80 and over, Aging, Comorbidity, Dyspnea, Emphysema, Exercise Test, Female, Forced Expiratory Flow Rates, Forced Expiratory Volume, Humans, Male, Middle Aged, Multicenter Studies as Topic, Phenotype, Pulmonary Disease, Chronic Obstructive, Quality of Life, Reference Standards, Severity of Illness Index, Smoking, Spirometry, Tomography, X-Ray Computed, United States, chronic obstructive pulmonary disease, emphysema, restriction, Medical and Health Sciences, Respiratory System, Cardiovascular medicine and haematology, Clinical sciences
Abstract

RationaleThe Global Lung Initiative (GLI) provides age-appropriate criteria for establishing spirometric impairment, including mild, moderate, and severe chronic obstructive pulmonary disease (COPD) and restrictive pattern, but its association with respiratory-related phenotypes has not been evaluated.ObjectivesTo evaluate respiratory-related phenotypes in GLI-defined spirometric impairment.MethodsIn COPDGene (N = 10,131 patients; age range, 45-81 yr; average smoking history, 44.3 pack-years), we evaluated spirometry, dyspnea (modified Medical Research Council grade, ≥2), poor respiratory health-related quality of life (St. George's Respiratory Questionnaire total score, ≥25), poor exercise performance (6-minute-walk distance, 12% and ≥200 ml), and computed tomography-diagnosed emphysema and gas trapping (>5% and >15% of lung, respectively).Measurements and main resultsGLI established normal spirometry in 5,100 patients (50.3%), mild COPD in 669 (6.6%), moderate COPD in 865 (8.5%), severe COPD in 2,522 (24.9%), and restrictive pattern in 975 (9.6%). Relative to normal spirometry, graded associations with respiratory-related phenotypes were found for mild, moderate, and severe COPD, with respective adjusted odds ratios (95% confidence intervals) as follows: dyspnea-1.31 (1.10-1.56), 2.20 (1.81-2.68), and 10.73 (8.04-14.33); poor respiratory health-related quality of life-1.49 (1.28-1.75), 2.69 (2.08-3.47), and 14.61 (10.09-21.17); poor exercise performance-1.11 (0.94-1.31), 1.58 (1.33-1.88), and 4.58 (3.42-6.12); bronchodilator reversibility-2.76 (2.24-3.40), 5.18 (4.29-6.27), and 6.21 (5.06-7.62); emphysema-4.86 (3.16-7.47), 6.41 (4.09-10.05), and 17.79 (10.79-29.32); and gas trapping-3.92 (3.12-4.93), 5.20 (3.82-7.07), and 16.28 (9.71-27.30). Restrictive pattern was also associated with multiple respiratory-related phenotypes at a level similar to moderate COPD, but it was otherwise not associated with emphysema (0.89 [0.60-1.32]) or gas trapping (1.15 [0.92-1.42]).ConclusionsGLI-defined spirometric impairment establishes clinically meaningful respiratory disease, as validated by graded associations with respiratory-related phenotypes.

Published
2016

6. A genome-wide association study identifies risk loci for spirometric measures among smokers of European and African ancestry.

Author

Lutz, Sharon M, Cho, Michael H, Young, Kendra, Hersh, Craig P, Castaldi, Peter J, McDonald, Merry-Lynn, Regan, Elizabeth, Mattheisen, Manuel, DeMeo, Dawn L, Parker, Margaret, Foreman, Marilyn, Make, Barry J, Jensen, Robert L, Casaburi, Richard, Lomas, David A, Bhatt, Surya P, Bakke, Per, Gulsvik, Amund, Crapo, James D, Beaty, Terri H, Laird, Nan M, Lange, Christoph, Hokanson, John E, Silverman, Edwin K, ECLIPSE Investigators, and COPDGene Investigators

Subjects
ECLIPSE Investigators, COPDGene Investigators, Chromosomes, Human, Pair 4, Chromosomes, Human, Pair 15, Humans, Genetic Predisposition to Disease, Bronchodilator Agents, Forced Expiratory Volume, Spirometry, Risk Factors, Cohort Studies, Smoking, Genome, Human, Middle Aged, African Continental Ancestry Group, European Continental Ancestry Group, Female, Male, Meta-Analysis as Topic, Genome-Wide Association Study, Genetic Loci, Chronic obstructive pulmonary disease, DBH, FEV1, FEV1/FVC, Genome-wide association study, Chromosomes, Human, Pair 4, Pair 15, Genome, Genetics & Heredity, Genetics
Abstract

BackgroundPulmonary function decline is a major contributor to morbidity and mortality among smokers. Post bronchodilator FEV1 and FEV1/FVC ratio are considered the standard assessment of airflow obstruction. We performed a genome-wide association study (GWAS) in 9919 current and former smokers in the COPDGene study (6659 non-Hispanic Whites [NHW] and 3260 African Americans [AA]) to identify associations with spirometric measures (post-bronchodilator FEV1 and FEV1/FVC). We also conducted meta-analysis of FEV1 and FEV1/FVC GWAS in the COPDGene, ECLIPSE, and GenKOLS cohorts (total n = 13,532).ResultsAmong NHW in the COPDGene cohort, both measures of pulmonary function were significantly associated with SNPs at the 15q25 locus [containing CHRNA3/5, AGPHD1, IREB2, CHRNB4] (lowest p-value = 2.17 × 10(-11)), and FEV1/FVC was associated with a genomic region on chromosome 4 [upstream of HHIP] (lowest p-value = 5.94 × 10(-10)); both regions have been previously associated with COPD. For the meta-analysis, in addition to confirming associations to the regions near CHRNA3/5 and HHIP, genome-wide significant associations were identified for FEV1 on chromosome 1 [TGFB2] (p-value = 8.99 × 10(-9)), 9 [DBH] (p-value = 9.69 × 10(-9)) and 19 [CYP2A6/7] (p-value = 3.49 × 10(-8)) and for FEV1/FVC on chromosome 1 [TGFB2] (p-value = 8.99 × 10(-9)), 4 [FAM13A] (p-value = 3.88 × 10(-12)), 11 [MMP3/12] (p-value = 3.29 × 10(-10)) and 14 [RIN3] (p-value = 5.64 × 10(-9)).ConclusionsIn a large genome-wide association study of lung function in smokers, we found genome-wide significant associations at several previously described loci with lung function or COPD. We additionally identified a novel genome-wide significant locus with FEV1 on chromosome 9 [DBH] in a meta-analysis of three study populations.

Published
2015

7. Phenotype of Normal Spirometry in an Aging Population

Author

Fragoso, Carlos A Vaz, McAvay, Gail, Van Ness, Peter H, Casaburi, Richard, Jensen, Robert L, MacIntyre, Neil, Gill, Thomas M, Yaggi, H Klar, and Concato, John

Subjects
Biomedical and Clinical Sciences, Cardiovascular Medicine and Haematology, Lung, Emphysema, Clinical Research, Chronic Obstructive Pulmonary Disease, Respiratory, Aged, Aged, 80 and over, Airway Obstruction, Diagnostic Errors, Female, Humans, Male, Middle Aged, Models, Statistical, Phenotype, Pulmonary Disease, Chronic Obstructive, Pulmonary Emphysema, Quality of Life, Spirometry, COPDGene, phenotype, normal spirometry, COPD, emphysema, Medical and Health Sciences, Respiratory System, Cardiovascular medicine and haematology, Clinical sciences
Abstract

RationaleIn aging populations, the commonly used Global Initiative for Chronic Obstructive Lung Disease (GOLD) may misclassify normal spirometry as respiratory impairment (airflow obstruction and restrictive pattern), including the presumption of respiratory disease (chronic obstructive pulmonary disease [COPD]).ObjectivesTo evaluate the phenotype of normal spirometry as defined by a new approach from the Global Lung Initiative (GLI), overall and across GOLD spirometric categories.MethodsUsing data from COPDGene (n = 10,131; ages 45-81; smoking history, ≥10 pack-years), we evaluated spirometry and multiple phenotypes, including dyspnea severity (Modified Medical Research Council grade 0-4), health-related quality of life (St. George's Respiratory Questionnaire total score), 6-minute-walk distance, bronchodilator reversibility (FEV1 % change), computed tomography-measured percentage of lung with emphysema (% emphysema) and gas trapping (% gas trapping), and small airway dimensions (square root of the wall area for a standardized airway with an internal perimeter of 10 mm).Measurements and main resultsAmong 5,100 participants with GLI-defined normal spirometry, GOLD identified respiratory impairment in 1,146 (22.5%), including a restrictive pattern in 464 (9.1%), mild COPD in 380 (7.5%), moderate COPD in 302 (5.9%), and severe COPD in none. Overall, the phenotype of GLI-defined normal spirometry included normal adjusted mean values for dyspnea grade (0.8), St. George's Respiratory Questionnaire (15.9), 6-minute-walk distance (1,424 ft [434 m]), bronchodilator reversibility (2.7%), % emphysema (0.9%), % gas trapping (10.7%), and square root of the wall area for a standardized airway with an internal perimeter of 10 mm (3.65 mm); corresponding 95% confidence intervals were similarly normal. These phenotypes remained normal for GLI-defined normal spirometry across GOLD spirometric categories.ConclusionsGLI-defined normal spirometry, even when classified as respiratory impairment by GOLD, included adjusted mean values in the normal range for multiple phenotypes. These results suggest that among adults with GLI-defined normal spirometry, GOLD may misclassify normal phenotypes as having respiratory impairment.

Published
2015

11. Diffusing Capacity and Mortality in Chronic Obstructive Pulmonary Disease

Author

Balasubramanian, Aparna, primary, Putcha, Nirupama, additional, MacIntyre, Neil R., additional, Jensen, Robert L., additional, Kinney, Gregory, additional, Stringer, William W., additional, Hersh, Craig P., additional, Bowler, Russell P., additional, Casaburi, Richard, additional, Han, MeiLan K., additional, Porszasz, Janos, additional, Barr, R. Graham, additional, Regan, Elizabeth, additional, Make, Barry J., additional, Hansel, Nadia N., additional, Wise, Robert A., additional, and McCormack, Meredith C., additional

Published
2023
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13. Association of respiratory symptoms and lung function with occupation in the multinational Burden of Obstructive Lung Disease (BOLD) study

Author

Ratanachina, Jate, Amaral, Andre F.S., De Matteis, Sara, Lawin, Herve, Mortimer, Kevin, Obaseki, Daniel O., Harrabi, Imed, Denguezli, Meriam, Wouters, Emiel F.M., Janson, Christer, Nielsen, Rune, Gulsvik, Amund, Cherkaski, Hamid Hacene, Mejza, Filip, Mahesh, Padukudru Anand, Elsony, Asma, Ahmed, Rana, Tan, Wan C., Loh, Li Cher, Rashid, Abdul, Studnicka, Michael, Nafees, Asaad A., Seemungal, Terence, Aquart-Stewart, Althea, Al Ghobain, Mohammed, Zheng, Jinping, Juvekar, Sanjay, Salvi, Sundeep, Jogi, Rain, Mannino, David M., Gislason, Thorarinn, Buist, A. Sonia, Cullinan, Paul, Burney, Peter G.J., Hafizi, Hasan, Aliko, Anila, Bardhi, Donika, Tafa, Holta, Thanasi, Natasha, Mezini, Arian, Teferici, Alma, Todri, Dafina, Nikolla, Jolanda, Kazasi, Rezarta, Bengrait, Amira, Haddad, Tabarek, Zgaoula, Ibtissem, Ghit, Maamar, Roubhia, Abdelhamid, Boudra, Soumaya, Atoui, Feryal, Yakoubi, Randa, Benali, Rachid, Bencheikh, Abdelghani, Ait-Khaled, Nadia, Jenkins, Christine, Marks, Guy, Bird, Tessa, Espinel, Paola, Hardaker, Kate, Toelle, Brett, Dawes, Torkil, Lamprecht, Bernd, Schirhofer, Lea, Islam, Akramul, Ahmed, Syed Masud, Islam, Shayla, Islam, Qazi Shafayetul, Mesbah-Ul-Haque, NN, Chowdhury, Tridib Roy, Chatterjee, Sukantha Kumar, Mia, Dulal, Das, Shyamal Chandra, Rahman, Mizanur, Islam, Nazrul, Uddin, Shahaz, Islam, Nurul, Khatun, Luiza, Parvin, Monira, Khan, Abdul Awal, Islam, Maidul, Kpangon, Arsene, Kpossou, Karl, Agodokpessi, Gildas, Ayelo, Paul, Fayomi, Benjamin, Mbatchou, Bertrand, Ashu, Atongno Humphrey, Wang, Wen, Zhong, NanShan, Liu, Shengming, Lu, Jiachun, Ran, Pixin, Wang, Dali, Zhou, Yumin, Laja, Hendrik, Ulst, Katrin, Zobel, Vappu, Lill, Toomas-Julius, Adegnika, Ayola Akim, Welte, Tobias, Bodemann, Isabelle, Geldmacher, Henning, Schweda-Linow, Alexandra, Benedikdtsdottir, Bryndis, Jörundsdottir, Kristin, Gudmundsdottir, Lovisa, Gudmundsdottir, Sigrun, Gundmundsson, Gunnar, Koul, Parvaiz A., Malik, Sajjad, Hakim, Nissar A., Khan, Umar Hafiz, Chowgule, Rohini, Shetye, Vasant, Raphael, Jonelle, Almeda, Rosel, Tawde, Mahesh, Tadvi, Rafiq, Katkar, Sunil, Kadam, Milind, Dhanawade, Rupesh, Ghurup, Umesh, Hirve, Siddhi, Sambhudas, Somnath, Chaidhary, Bharat, Tambe, Meera, Pingale, Savita, Umap, Arati, Umap, Archana, Shelar, Nitin, Devchakke, Sampada, Chaudhary, Sharda, Bondre, Suvarna, Walke, Savita, Gawhane, Ashleshsa, Sapkal, Anil, Argade, Rupali, Gaikwad, Vijay, Brashier, Sundeep Bill, Londhe, Jyoti, Madas, Sapna, Aikman, Althea Akosua Francia, Sooronbaev, Talant M., Estebesova, Bermet M., Akmatalieva, Meerim, Usenbaeva, Saadat, Kydyrova, Jypara, Bostonova, Eliza, Sheraliev, Ulan, Marajapov, Nuridin, Toktogulova, Nurgul, Emilov, Berik, Azilova, Toktogul, Beishekeeva, Gulnara, Dononbaeva, Nasyikat, Tabyshova, Aijamal, Mwangoka, Ernest, Kambwili, Mayamiko, Chipeta, Martha, Banda, Gloria, Mkandawire, Suzgo, Banda, Justice, Sholehah, Siti, Benjelloun, Mohamed C., Nejjari, Chakib, Elbiaze, Mohamed, El Rhazi, Karima, Franssen, F.F.E., Wesseling, G.J., Erhabor, Gregory, Awopeju, Olayemi, Adewole, Olufemi, Endresen, Tina, Svendsen, Lene Løvendahl, Irfan, Muhammad, Fatmi, Zafar, Zahidie, Aysha, Shaukat, Natasha, Iqbal, Meesha, Idolor, Luisito F., de Guia, Teresita S., Francisco, Norberto A., Roa, Camilo C., Ayuyao, Fernando G., Tady, Cecil Z., Tan, Daniel T., Banal-Yang, Sylvia, Balanag, Vincent M., Reyes, Maria Teresita N., Dantes, Renato B., Amarillo, Lourdes, Berratio, Lakan U., Fernandez, Lenora C., Garcia, Gerard S., Naval, Sullian S., Reyes, Thessa, Sanchez, Ma. Flordeliza, Simpao, Leander P., Nizankowska-Mogilnicka, Ewa, Frey, Jakub, Harat, Rafal, Nastalek, Pawel, Pajak, Andrzej, Skucha, Wojciech, Szczeklik, Andrzej, Twardowska, Magda, Bárbara, Cristina, Rodrigues, Fátima, Dias, Hermínia, Cardoso, João, Almeida, João, Matos, Maria João, Simão, Paula, Santos, Moutinho, Ferreira, Reis, Alorainy, H., El-Hamad, E., Al Hajjaj, Hajjaj, Hashi, A., Dela, R., Fanuncio, R., Doloriel, E., Marciano, I., Safia, L., Bateman, Eric, Jithoo, Anamika, Adams, Desiree, Barnes, Edward, Freeman, Jasper, Hayes, Anton, Hlengwa, Sipho, Johannisen, Christine, Koopman, Mariana, Louw, Innocentia, Ludick, Ina, Olckers, Alta, Ryck, Johanna, Storbeck, Janita, Gunasekera, Kirthi, Wickremasinghe, Rajitha, Elsadig, Hana A., Osman, Nada Bakery, Noory, Bandar Salah, Mohamed, Monjda Awad, Osman, Hasab Alrasoul Akasha Ahmed, ed Elhassan, Namarig Moham, El Zain, Abdel Mu'is, Mohamaden, Marwa Mohamed, Khalifa, Suhaiba, Elhadi, Mahmoud, Hassan, Mohand, Abdelmonam, Dalia, Kamal, Rashid, Eltigani, Hind, Umar, Stephen's, Abdeen, Aya, Osman, Mihad, Mohamed, Malaz, Eltayeb, Roa, Abelazeez, Mohamed, Altaher, Hoyam, Mohamed, Lina, Abdarahman, Rabee, Mohamed, Rayan, Haram, NN, Ismaeel, Rimaz, Olafsdottir, Inga Sif, Nisser, Katarina, Spetz-Nyström, Ulrike, Hägg, Gunilla, Lund, Gun-Marie, Lutchmansingh, Fallon, Conyette, Liane, Tabka, Zouhair, Daldoul, Hager, Boukheroufa, Zaki, Chouikha, Firas, Khalifa, Wahbi Belhaj, Kocabaş, Ali, Hancioglu, Attila, Hanta, Ismail, Kuleci, Sedat, Turkyilmaz, Ahmet Sinan, Umut, Sema, Unalan, Turgay, Gnatiuc, Louisa, Azar, Hadia, Patel, Jaymini, Amor, Caron, Potts, James, Tumilty, Michael, McLean, Fiona, Dudhaiya, Risha, McBurnie, Mary Ann, Vollmer, William M., Gillespie, Suzanne, Sullivan, Sean, Lee, Todd A., Weiss, Kevin B., Jensen, Robert L., Crapo, Robert, Enright, Paul, Cain, John, Copeland, Rebecca, Hazen, Dana, Methvin, Jennifer, and RS: NUTRIM - R3 - Respiratory & Age-related Health

Subjects
Pulmonary and Respiratory Medicine, Arbetsmedicin och miljömedicin, Respiratory Medicine and Allergy, Occupational Health and Environmental Health, Lungmedicin och allergi
Abstract

BackgroundChronic obstructive pulmonary disease has been associated with exposures in the workplace. We aimed to assess the association of respiratory symptoms and lung function with occupation in the Burden of Obstructive Lung Disease study.MethodsWe analysed cross-sectional data from 28 823 adults (≥40 years) in 34 countries. We considered 11 occupations and grouped them by likelihood of exposure to organic dusts, inorganic dusts and fumes. The association of chronic cough, chronic phlegm, wheeze, dyspnoea, forced vital capacity (FVC) and forced expiratory volume in 1 s (FEV1)/FVC with occupation was assessed, per study site, using multivariable regression. These estimates were then meta-analysed. Sensitivity analyses explored differences between sexes and gross national income.ResultsOverall, working in settings with potentially high exposure to dusts or fumes was associated with respiratory symptoms but not lung function differences. The most common occupation was farming. Compared to people not working in any of the 11 considered occupations, those who were farmers for ≥20 years were more likely to have chronic cough (OR 1.52, 95% CI 1.19–1.94), wheeze (OR 1.37, 95% CI 1.16–1.63) and dyspnoea (OR 1.83, 95% CI 1.53–2.20), but not lower FVC (β=0.02 L, 95% CI −0.02–0.06 L) or lower FEV1/FVC (β=0.04%, 95% CI −0.49–0.58%). Some findings differed by sex and gross national income.ConclusionAt a population level, the occupational exposures considered in this study do not appear to be major determinants of differences in lung function, although they are associated with more respiratory symptoms. Because not all work settings were included in this study, respiratory surveillance should still be encouraged among high-risk dusty and fume job workers, especially in low- and middle-income countries.

Published
2022

17. Prevalence and Population-Attributable Risk for Chronic Airflow Obstruction in a Large Multinational Study

Author

Burney, Peter, primary, Patel, Jaymini, additional, Minelli, Cosetta, additional, Gnatiuc, Louisa, additional, Amaral, André F. S., additional, Kocabaş, Ali, additional, Cherkaski, Hamid Hacene, additional, Gulsvik, Amund, additional, Nielsen, Rune, additional, Bateman, Eric, additional, Jithoo, Anamika, additional, Mortimer, Kevin, additional, Sooronbaev, Talant M., additional, Lawin, Hervé, additional, Nejjari, Chakib, additional, Elbiaze, Mohammed, additional, El Rhazi, Karima, additional, Zheng, Jin-Ping, additional, Ran, Pixin, additional, Welte, Tobias, additional, Obaseki, Daniel, additional, Erhabor, Gregory, additional, Elsony, Asma, additional, Osman, Nada Bakri, additional, Ahmed, Rana, additional, Nizankowska-Mogilnicka, Ewa, additional, Mejza, Filip, additional, Mannino, David M., additional, Bárbara, Cristina, additional, Wouters, Emiel F. M., additional, Idolor, Luisito F., additional, Loh, Li-Cher, additional, Rashid, Abdul, additional, Juvekar, Sanjay, additional, Gislason, Thorarinn, additional, Al Ghobain, Mohamed, additional, Studnicka, Michael, additional, Harrabi, Imed, additional, Denguezli, Meriam, additional, Koul, Parvaiz A., additional, Jenkins, Christine, additional, Marks, Guy, additional, Jõgi, Rain, additional, Hafizi, Hasan, additional, Janson, Christer, additional, Tan, Wan C., additional, Aquart-Stewart, Althea, additional, Mbatchou, Bertrand, additional, Nafees, Asaad Ahmed, additional, Gunasekera, Kirthi, additional, Seemungal, Terry, additional, Anand, Mahesh Padukudru, additional, Enright, Paul, additional, Vollmer, William M., additional, Blangiardo, Marta, additional, Elfadaly, Fadlalla G., additional, Buist, A. Sonia, additional, Aliko, Anila, additional, Bardhi, Donika, additional, Tafa, Holta, additional, Thanasi, Natasha, additional, Mezini, Arian, additional, Teferici, Alma, additional, Todri, Dafina, additional, Nikolla, Jolanda, additional, Kazasi, Rezarta, additional, Bengrait, Amira, additional, Haddad, Tabarek, additional, Zgaoula, Ibtissem, additional, Ghit, Maamar, additional, Roubhia, Abdelhamid, additional, Boudra, Soumaya, additional, Atoui, Feryal, additional, Yakoubi, Randa, additional, Benali, Rachid, additional, Bencheikh, Abdelghani, additional, Ait-Khaled, Nadia, additional, Bird, Tessa, additional, Espinel, Paola, additional, Hardaker, Kate, additional, Toelle, Brett, additional, Dawes, Torkil, additional, Lamprecht, Bernd, additional, Schirhofer, Lea, additional, Islam, Akramul, additional, Ahmed, Syed Masud, additional, Islam, Shayla, additional, Islam, Qazi Shafayetul, additional, Chowdhury, Tridib Roy, additional, Chatterjee, Sukantha Kumar, additional, Mia, Dulal, additional, Das, Shyamal Chandra, additional, Rahman, Mizanur, additional, Islam, Nazrul, additional, Uddin, Shahaz, additional, Islam, Nurul, additional, Khatun, Luiza, additional, Parvin, Monira, additional, Khan, Abdul Awal, additional, Islam, Maidul, additional, Lawin, Herve, additional, Kpangon, Arsene, additional, Kpossou, Karl, additional, Agodokpessi, Gildas, additional, Ayelo, Paul, additional, Fayomi, Benjamin, additional, Ashu, Atongno Humphrey, additional, Wang, Wen, additional, Zhong, NanShan, additional, Liu, Shengming, additional, Lu, Jiachun, additional, Wang, Dali, additional, Zheng, Jin-ping, additional, Zhou, Yumin, additional, Laja, Hendrik, additional, Ulst, Katrin, additional, Zobel, Vappu, additional, Lill, Toomas-Julius, additional, Adegnika, Ayola Akim, additional, Bodemann, Isabelle, additional, Geldmacher, Henning, additional, Schweda-Linow, Alexandra, additional, Benedikdtsdottir, Bryndis, additional, Jörundsdottir, Kristin, additional, Gudmundsdottir, Lovisa, additional, Gudmundsdottir, Sigrun, additional, Gudmundsson, Gunnar, additional, Rao, Mahesh, additional, Malik, Sajjad, additional, Hakim, Nissar A., additional, Khan, Umar Hafiz, additional, Chowgule, Rohini, additional, Shetye, Vasant, additional, Raphael, Jonelle, additional, Almeda, Rosel, additional, Tawde, Mahesh, additional, Tadvi, Rafiq, additional, Katkar, Sunil, additional, Kadam, Milind, additional, Dhanawade, Rupesh, additional, Ghurup, Umesh, additional, Hirve, Siddhi, additional, Sambhudas, Somnath, additional, Chaidhary, Bharat, additional, Tambe, Meera, additional, Pingale, Savita, additional, Umap, Arati, additional, Umap, Archana, additional, Shelar, Nitin, additional, Devchakke, Sampada, additional, Chaudhary, Sharda, additional, Bondre, Suvarna, additional, Walke, Savita, additional, Gawhane, Ashleshsa, additional, Sapkal, Anil, additional, Argade, Rupali, additional, Gaikwad, Vijay, additional, Salvi, Sundeep, additional, Brashier, Bill, additional, Londhe, Jyoti, additional, Madas, Sapna, additional, Aikman, Akosua Francia, additional, Estebesova, Bermet M., additional, Akmatalieva, Meerim, additional, Usenbaeva, Saadat, additional, Kydyrova, Jypara, additional, Bostonova, Eliza, additional, Sheraliev, Ulan, additional, Marajapov, Nuridin, additional, Toktogulova, Nurgul, additional, Emilov, Berik, additional, Azilova, Toktogul, additional, Beishekeeva, Gulnara, additional, Dononbaeva, Nasyikat, additional, Tabyshova, Aijamal, additional, Nyapigoti, Wezzie, additional, Mwangoka, Ernest, additional, Kambwili, Mayamiko, additional, Chipeta, Martha, additional, Banda, Gloria, additional, Mkandawire, Suzgo, additional, Banda, Justice, additional, Sholehah, Siti, additional, Benjelloun, Mohamed C., additional, Elbiaze, Mohamed, additional, Wouters, E. F. M., additional, Wesseling, G. J., additional, Awopeju, Olayemi, additional, Adewole, Olufemi, additional, Endresen, Tina, additional, Svendsen, Lene, additional, Nafees, Asaad A., additional, de Guia, Teresita S., additional, Francisco, Norberto A., additional, Roa, Camilo C., additional, Ayuyao, Fernando G., additional, Tady, Cecil Z., additional, Tan, Daniel T., additional, Banal-Yang, Sylvia, additional, Balanag, Vincent M., additional, Reyes, Maria Teresita N., additional, Dantes, Renato. B., additional, Dantes, Renato B., additional, Amarillo, Lourdes, additional, Berratio, Lakan U., additional, Fernandez, Lenora C., additional, Garcia, Gerard S., additional, Naval, Sullian S., additional, Reyes, Thessa, additional, Sanchez, Ma. Flordeliza, additional, Simpao, Leander P., additional, Frey, Jakub, additional, Harat, Rafal, additional, Nastalek, Pawel, additional, Pajak, Andrzej, additional, Skucha, Wojciech, additional, Szczeklik, Andrzej, additional, Twardowska, Magda, additional, Rodrigues, Fátima, additional, Dias, Hermínia, additional, Cardoso, João, additional, Almeida, João, additional, Matos, Maria João, additional, Simão, Paula, additional, Santos, Moutinho, additional, Ferreira, Reis, additional, Al Ghobain, M., additional, Alorainy, H., additional, El-Hamad, E., additional, Al Hajjaj, M., additional, Hashi, A., additional, Dela, R., additional, Fanuncio, R., additional, Doloriel, E., additional, Marciano, I., additional, Safia, L., additional, Adams, Desiree, additional, Barnes, Edward, additional, Freeman, Jasper, additional, Hayes, Anton, additional, Hlengwa, Sipho, additional, Johannisen, Christine, additional, Koopman, Mariana, additional, Louw, Innocentia, additional, Ludick, Ina, additional, Olckers, Alta, additional, Ryck, Johanna, additional, Storbeck, Janita, additional, Wickremasinghe, Rajitha, additional, Elsadig, Hana A., additional, Osman, Nada Bakery, additional, Noory, Bandar Salah, additional, Mohamed, Monjda Awad, additional, Osman, Hasab Alrasoul Akasha Ahmed, additional, ed Elhassan, Namarig Moham, additional, Mu‘is El Zain, Abdel, additional, Mohamaden, Marwa Mohamed, additional, Khalifa, Suhaiba, additional, Elhadi, Mahmoud, additional, Hassan, Mohand, additional, Abdelmonam, Dalia, additional, Olafsdottir, Inga Sif, additional, Nisser, Katarina, additional, Spetz-Nyström, Ulrike, additional, Hägg, Gunilla, additional, Lund, Gun-Marie, additional, Seemungal, Terence, additional, Lutchmansingh, Fallon, additional, Conyette, Liane, additional, Denguezli, Myriam, additional, Tabka, Zouhair, additional, Daldoul, Hager, additional, Boukheroufa, Zaki, additional, Chouikha, Firas, additional, Khalifa, Wahbi Belhaj, additional, Hancioglu, Attila, additional, Hanta, Ismail, additional, Kuleci, Sedat, additional, Turkyilmaz, Ahmet Sinan, additional, Umut, Sema, additional, Unalan, Turgay, additional, Burney, Peter G. J., additional, Azar, Hadia, additional, Amor, Caron, additional, Potts, James, additional, Tumilty, Michael, additional, McLean, Fiona, additional, Dudhaiya, Risha, additional, McBurnie, Mary Ann, additional, Gillespie, Suzanne, additional, Sullivan, Sean, additional, Lee, Todd A., additional, Weiss, Kevin B., additional, Jensen, Robert L., additional, Crapo, Robert, additional, Cain, John, additional, Copeland, Rebecca, additional, Hazen, Dana, additional, and Methvin, Jennifer, additional

Published
2021
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24. Diagnosis of COPD

Author

Falaschetti, Emanuela, Swanney, Maureen P, Crapo, Robert O, Hankinson, John L, Jensen, Robert L, Pedersen, Ole F, Quanjer, Philip H, Ruppel, Gregg L, and Schouten, Jan P

Published
2007

40. Longitudinal association of body mass index with lung function: The CARDIA Study

Author

Barr R Graham, Crapo Robert O, Jensen Robert L, Smith Lewis J, Apostol George G, Jacobs David R, Thyagarajan Bharat, Lewis Cora E, and Williams O Dale

Subjects
Diseases of the respiratory system, RC705-779
Abstract

Abstract Background Lung function at the end of life depends on its peak and subsequent decline. Because obesity is epidemic in young adulthood, we quantified age-related changes in lung function relative to body mass index (BMI). Methods The Coronary Artery Risk Development in Young Adults (CARDIA) study in 1985–86 (year 0) recruited 5,115 black and white men and women, aged 18–30. Spirometry testing was conducted at years 0, 2, 5 and 10. We estimated 10 year change in FVC, FEV1 and FEV1/FVC according to baseline BMI and change in BMI within birth cohorts with initial average ages 20, 24, and 28 years, controlling for race, sex, smoking, asthma, physical activity, and alcohol consumption. Measurements and Main Results Participants with baseline BMI < 21.3 kg/m2 experienced 10 year increases of 71 ml in FVC and 60 ml in FEV1 and neither measure declined through age 38. In contrast, participants with baseline BMI ≥ 26.4 kg/m2 experienced 10 year decreases of 185 ml in FVC and 64 ml in FEV1. FEV1/FVC increased with increasing BMI. Weight gain was also associated with lung function. Those who gained the most weight over 10 years had the largest decrease in FVC, but FVC increased with weight gain in those initially thinnest. In contrast, FEV1 decreased with increasing weight gain in all participants, with maximum decline in obese individuals who gained the most weight during the study. Conclusion Among healthy young adults, increasing BMI in the initially thin participants was associated with increasing then stable lung function through age 38, but there were substantial lung function losses with higher and increasing fatness. These results suggest that the obesity epidemic threatens the lung health of the general population.

Published
2008
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45. Evaluation of accuracy and reproducibility of peak flowmeters at 1,400 m

Author

Gardner, Reed M., Crapo, Robert O., Jackson, Brian R., and Jensen, Robert L.

Subjects
Flow meters -- Evaluation, Asthma -- Diagnosis, Health, Diagnosis, Evaluation
Abstract

Peak flow meters provide physicians and patients with objective measures about changes in pulmonary obstruction. We evaluated eight models of peak flowmeters and measured their accuracy and reproducibility with methods recently recommended by the National Asthma Education Program (NAEP). Waveforms from the American Thoracic Society's spirometer testing set were used to drive a computer-controlled syringe. Testing was done at Salt Lake City at an altitude 1,400 m. It appears that the original Wright peak flowmeter has been used as the 'de facto' standard. We found that the original Wright peak flowmeter overestimated flows in its midrange; and, as a consequence, most of the other peak flowmeters also overestimated peak flows. The overestimation of peak flows may have been understated because of the 1,400-m altitude testing site. To the credit of the instrument manufacturers, we were pleasantly surprised with the quality, accuracy, and reproducibility of presently available peak flowmeters; however, as a result of our testing, we suspect that with little effort, manufacturers of peak flowmeters could improve the accuracy of their devices. Standardized testing methods and equipment should make the task of peak flowmeter design, manufacture, and testing even easier. We trust that manufacturers of peak flowmeters will respond appropriately and improve their instruments., Recently, the National Asthma Education Program (NAEP) sponsored by the National Heart, Lung, and Blood Institute released a report entitled 'Diagnosis and Management of Asthma.' In this document the importance [...]

Published
1992

48. Normal spirometric values in healthy Hispanic Americans

Author

Crapo, Robert O., Jensen, Robert L., Lockey, James E., Aldrich, Virginia, and Elliott, C. Gregory

Subjects
Spirometry -- Evaluation -- Health aspects, Pulmonary function tests -- Evaluation -- Health aspects, Lung volume measurements -- Demographic aspects -- Health aspects, Hispanic Americans -- Health aspects, Health, Evaluation, Demographic aspects, Health aspects
Abstract

Since ethnic differences in pulmonary function are known to occur, failure to account for them when they exist could lead to errors in diagnosis and in classification of impairment. [1,2] [...]

Published
1990

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