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1. Prevalence and prognostic ability of the GOLD 2017 classification compared to the GOLD 2011 classification in a Norwegian COPD cohort

Author

Le LAK, Johannessen A, Hardie JA, Johansen OE, Gulsvik A, Vikse BE, and Bakke P

Subjects
Prevalence, prognostic ability, GOLD 2017, GOLD 2011, COPD, Diseases of the respiratory system, RC705-779
Abstract

Lan Ai Kieu Le,1 Ane Johannessen,2,3 Jon Andrew Hardie,2 Odd Erik Johansen,4,5 Amund Gulsvik,2 Bjørn Egil Vikse,1,2 Per Bakke21Department of Medicine, Haugesund Hospital, Haugesund, Norway; 2Department of Clinical Medicine, University of Bergen, Bergen, Norway; 3Centre for International Health, Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway; 4Department of Medicine, Bærum Hospital, Gjettum, Norway; 5Boehringer Ingelheim Norway KS, Asker, NorwayRationale: The Global Initiative for Chronic Obstructive Lung Disease (GOLD) 2017 is based on an ABCD assessment tool of symptoms and exacerbation history and grade 1–4 of airflow limitation severity, facilitating classification either into 4 groups (ABCD) or 16 groups (1A-4D). We aimed to compare the GOLD 2011, GOLD 2017 ABCD, and GOLD 2017 1A-4D classifications in terms of their distribution and prediction of mortality and hospitalizations.Methods: In the GenKOLS study, 912 COPD patients with FEV1 less than 80% of the predicted answered questionnaires and performed lung function testing in 2003–2005. The patients were recruited from a hospital patient registry (n=662) and from the general population (n=250), followed up until 2011 with respect to all-cause and respiratory mortality, and all-cause and respiratory hospitalizations. We performed logistic regression and receiver operating curve (ROC) analyses for the different classifications with estimations of area under the curve (AUC) for comparisons.Results: Mean age at baseline was 60 years (SD 11), 55% were male. Mean duration of follow-up was 91 months. By GOLD 2011, 21% were classified as group A, 29% group B, 6% group C, and 43% as group D, corresponding percentages for GOLD 2017 were: 25%, 52%, 3%, and 20%. The GOLD 2011 classification had higher AUC values than the GOLD 2017 group ABCD classification for respiratory mortality and hospitalization, but after inclusion of airflow limitation severity in GOLD 2017 groups 2A–4D, AUC values were significantly higher with GOLD 2017.Conclusion: In a clinically relevant sample of COPD patients, the GOLD 2017 classification doubles the prevalence of group B and halves the prevalence of groups C and D as compared to the GOLD 2011 classification. The prediction of respiratory mortality and respiratory hospitalization was better for GOLD 2017 2A–4D taking airflow limitation severity into account, as compared to GOLD 2017 ABCD and GOLD 2011.Keywords: respiratory, hospitalization, mortality, Cox regression, ABCD classification, airflow limitation

Published
2019

2. Incidence of utilization- and symptom-defined COPD exacerbations in hospital- and population-recruited patients

Author

Erdal M, Johannessen A, Eagan TM, Bakke P, Gulsvik A, and Grønseth R

Subjects
Chronic obstructive pulmonary disease, exacerbations, general population, predictors, Diseases of the respiratory system, RC705-779
Abstract

Marta Erdal1,2 Ane Johannessen3 Tomas Mikal Eagan1,2 Per Bakke2 Amund Gulsvik2 Rune Grønseth1,2 1Department of Thoracic Medicine, Haukeland University Hospital, 2Department of Clinical Science, University of Bergen, 3Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway Objectives: The objectives of this study were to estimate the impact of recruitment source and outcome definition on the incidence of acute exacerbations of COPD (AECOPD) and explore possible predictors of AECOPD.Patients and methods: During a 1-year follow-up, we performed a baseline visit and four telephone interviews of 81 COPD patients and 132 controls recruited from a population-based survey and 205 hospital-recruited COPD patients. Both a definition based on health care utilization and a symptom-based definition of AECOPD were applied. For multivariate analyses, we chose a negative binomial regression model.Results: COPD patients from the population- and hospital-based samples experienced on average 0.4 utilization-defined and 2.9 symptom-defined versus 1.0 and 5.9 annual exacerbations, respectively. The incidence rate ratios for utilization-defined AECOPD were 2.45 (95% CI 1.22–4.95), 3.43 (95% CI 1.59–7.38), and 5.67 (95% CI 2.58–12.48) with Global Initiative on Obstructive Lung Disease spirometric stages II, III, and IV, respectively. The corresponding incidence rate ratios for the symptom-based definition were 3.08 (95% CI 1.96–4.84), 3.45 (95% CI 1.92–6.18), and 4.00 (95% CI 2.09–7.66). Maintenance therapy (regular long-acting muscarinic antagonists, long-acting beta-2 agonists, inhaled corticosteroids, or theophylline) also increased the risk of AECOPD with both exacerbation definitions (incidence rate ratios 1.65 and 1.73, respectively). The risk of AECOPD was 59%–78% higher in the hospital sample than in the population sample.Conclusion: If externally valid conclusions are to be made regarding incidence and predictors of AECOPD, studies should be based on general population samples or adjustments should be made on account of a likely higher incidence in other samples. Likewise, the effect of different AECOPD definitions should be taken into consideration. Keywords: COPD, exacerbations, general population, predictors

Published
2016

3. Prediction of underlying atrial fibrillation in patients with a cryptogenic stroke: results from the NOR-FIB Study

Author

Ratajczak-Tretel, B., Lambert, A. Tancin, Al-Ani, R., Arntzen, K., Bakkejord, G. K., Bekkeseth, H. M. O., Bjerkeli, V., Eldøen, G., Gulsvik, A. K., Halvorsen, B., Høie, G. A., Ihle-Hansen, H., Ihle-Hansen, H., Ingebrigtsen, S., Kremer, C., Krogseth, S. B., Kruuse, C., Kurz, M., Nakstad, I., Novotny, V., Næss, H., Qazi, R., Rezaj, M. K., Rørholt, D. M., Steffensen, L. H., Sømark, J., Tobro, H., Truelsen, T. C., Wassvik, L., Ægidius, K. L., Atar, D., and Aamodt, Anne Hege

Published
2023
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5. Underlying causes of cryptogenic stroke and TIA in the nordic atrial fibrillation and stroke (NOR-FIB) study – the importance of comprehensive clinical evaluation

Author

Ratajczak-Tretel, B., Lambert, A. Tancin, Al-Ani, R., Arntzen, K., Bakkejord, G. K., Bekkeseth, H. M.O., Bjerkeli, V., Eldøen, G., Gulsvik, A. K., Halvorsen, B., Høie, G. A., Ihle-Hansen, H., Ingebrigtsen, S., Kremer, C., Krogseth, S. B., Kruuse, C., Kurz, M., Nakstad, I., Novotny, V., Naess, H., Qazi, R., Rezaj, M. K., Rørholt, D. M., Steffensen, L. H., Sømark, J., Tobro, H., Truelsen, T. C., Wassvik, L., Ægidius, K. L., Atar, D., and Aamodt, A. H.

Published
2023
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6. Prevalence of chronic cough, its risk factors and population attributable risk in the Burden of Obstructive Lung Disease (BOLD) study: a multinational cross-sectional studyResearch in context

Author

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

Subjects
Chronic cough, Epidemiology, Global health, Excess risk, Medicine (General), R5-920
Abstract

Summary: Background: Chronic cough is a common respiratory symptom with an impact on daily activities and quality of life. Global prevalence data are scarce and derive mainly from European and Asian countries and studies with outcomes other than chronic cough. In this study, we aimed to estimate the prevalence of chronic cough across a large number of study sites as well as to identify its main risk factors using a standardised protocol and definition. Methods: We analysed cross-sectional data from 33,983 adults (≥40 years), recruited between Jan 2, 2003 and Dec 26, 2016, in 41 sites (34 countries) from the Burden of Obstructive Lung Disease (BOLD) study. We estimated the prevalence of chronic cough for each site accounting for sampling design. To identify risk factors, we conducted multivariable logistic regression analysis within each site and then pooled estimates using random-effects meta-analysis. We also calculated the population attributable risk (PAR) associated with each of the identifed risk factors. Findings: The prevalence of chronic cough varied from 3% in India (rural Pune) to 24% in the United States of America (Lexington,KY). Chronic cough was more common among females, both current and passive smokers, those working in a dusty job, those with a history of tuberculosis, those who were obese, those with a low level of education and those with hypertension or airflow limitation. The most influential risk factors were current smoking and working in a dusty job. Interpretation: Our findings suggested that the prevalence of chronic cough varies widely across sites in different world regions. Cigarette smoking and exposure to dust in the workplace are its major risk factors. Funding: Wellcome Trust.

Published
2024
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7. 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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9. Polygenic risk scores identify heterogeneity in asthma and chronic obstructive pulmonary disease

Author

Moll, Matthew, Sordillo, Joanne E., Ghosh, Auyon J., Hayden, Lystra P., McDermott, Gregory, McGeachie, Michael J., Dahlin, Amber, Tiwari, Anshul, Manmadkar, Monica G., Abston, Eric D., Pavuluri, Chandan, Saferali, Aabida, Begum, Sofina, Ziniti, John P., Gulsvik, Amund, Bakke, Per S., Aschard, Hugues, Iribarren, Carlos, Hersh, Craig P., Sparks, Jeffrey A., Hobbs, Brian D., Lasky-Su, Jessica A., Silverman, Edwin K., Weiss, Scott T., Wu, Ann Chen, and Cho, Michael H.

Published
2023
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11. Can spirometric norms be set using pre- or post- bronchodilator test results in older people?

Author

Kato Bernet, Gulsvik Amund, Vollmer William, Janson Christer, Studnika Michael, Buist Sonia, and Burney Peter

Subjects
Normal values, BOLD study, European population, Diseases of the respiratory system, RC705-779
Abstract

Abstract Background Chronic Obstructive Pulmonary Disease (COPD) is defined by post-bronchodilator spirometry. Data on “normal values” come predominantly from pre-bronchodilator spirometry. The effects of this on diagnosis are unknown. Methods Lower limits of normal (LLN) were estimated from “normal” participants in the Burden of Obstructive Lung Disease (BOLD) programme. Values separately derived using pre- and post-bronchodilator spirometry were compared. Sensitivity and specificity of criteria derived from pre-bronchodilator spirometry and pre-bronchodilator spirometry adjusted by a constant were assessed in the remaining population. The “gold standard” was the LLN for the post-bronchodilator spirometry in the “normal population”. For FEV1/FVC, sensitivity and specificity of criteria were also assessed when a fixed value of < 70% was used rather than LLN. Results Of 6,600 participants with full data, 1,354 were defined as “normal”. Mean differences between pre- and post- bronchodilator measurements were small and the Bland-Altman plots showed no association between difference and mean value. Compared with using the gold standard, however, tests using pre-bronchodilator spirometry had a sensitivity and specificity of detecting a low FEV1 of 78.4% and 100%, a low FVC of 99.8% and 99.1% and a low FEV1/FVC ratio of 65% and 100%. Adjusting this by a constant improved the sensitivity without substantially altering the specificity for FEV1 (99%, 99.8%), FVC (97.4%, 99.9%) and FEV1/FVC (98.7%, 99.5%). Conclusions Using pre-bronchodilator spirometry to derive norms for lung function reduces sensitivity compared to a post-bronchodilator gold standard. Adjustment of these values by a constant can improve validity of the test.

Published
2012
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12. Underlying causes of cryptogenic stroke and TIA in The Nordic Atrial Fibrillation and Stroke (NOR-FIB) Study – the importance of comprehensive clinical evaluation

Author

B. Ratajczak-Tretel, A. Tancin Lambert, R. Al-Ani, K. Arntzen, G. K. Bakkejord, H. M.O. Bekkeseth, V. Bjerkeli, G. Eldøen, A. K. Gulsvik, B. Halvorsen, G. A. Høie, H. Ihle-Hansen, S. Ingebrigtsen, C. Kremer, S. B. Krogseth, C. Kruuse, M. Kurz, I. Nakstad, V. Novotny, H. Naess, R. Qazi, M. K. Rezaj, D. M. Rørholt, L. H. Steffensen, J. Sømark, H. Tobro, T. C. Truelsen, L. Wassvik, K. L. Ægidius, D. Atar, and A. H. Aamodt

Subjects
Cryptogenic stroke, Stroke cause, Atrial fibrillation, Insertable cardiac monitor, Guidelines, Secondary prevention, Neurology. Diseases of the nervous system, RC346-429
Abstract

Abstract Background Cryptogenic stroke is a heterogeneous condition, with a wide spectrum of possible underlying causes for which the optimal secondary prevention may differ substantially. Attempting a correct etiological diagnosis to reduce the stroke recurrence should be the fundamental goal of modern stroke management. Methods Prospective observational international multicenter study of cryptogenic stroke and cryptogenic transient ischemic attack (TIA) patients clinically monitored for 12 months to assign the underlying etiology. For atrial fibrillation (AF) detection continuous cardiac rhythm monitoring with insertable cardiac monitor (Reveal LINQ, Medtronic) was performed. The 12-month follow-up data for 250 of 259 initially included NOR-FIB patients were available for analysis. Results After 12 months follow-up probable stroke causes were revealed in 43% patients, while 57% still remained cryptogenic. AF and atrial flutter was most prevalent (29%). In 14% patients other possible causes were revealed (small vessel disease, large-artery atherosclerosis, hypercoagulable states, other cardioembolism). Patients remaining cryptogenic were younger (p

Published
2023
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13. X chromosome associations with chronic obstructive pulmonary disease and related phenotypes: an X chromosome-wide association study

Author

Lystra P. Hayden, Brian D. Hobbs, Robert Busch, Michael H. Cho, Ming Liu, Camila M. Lopes-Ramos, David A. Lomas, Per Bakke, Amund Gulsvik, Edwin K. Silverman, James D. Crapo, Terri H. Beaty, Nan M. Laird, Christoph Lange, and Dawn L. DeMeo

Subjects
COPD, Lung function, Emphysema, X chromosome-wide association study, Sex differences, X chromosome inactivation, Diseases of the respiratory system, RC705-779
Abstract

Abstract Background The association between genetic variants on the X chromosome to risk of COPD has not been fully explored. We hypothesize that the X chromosome harbors variants important in determining risk of COPD related phenotypes and may drive sex differences in COPD manifestations. Methods Using X chromosome data from three COPD-enriched cohorts of adult smokers, we performed X chromosome specific quality control, imputation, and testing for association with COPD case–control status, lung function, and quantitative emphysema. Analyses were performed among all subjects, then stratified by sex, and subsequently combined in meta-analyses. Results Among 10,193 subjects of non-Hispanic white or European ancestry, a variant near TMSB4X, rs5979771, reached genome-wide significance for association with lung function measured by FEV1/FVC ( $$\beta$$ β 0.020, SE 0.004, p 4.97 × 10–08), with suggestive evidence of association with FEV1 ( $$\beta$$ β 0.092, SE 0.018, p 3.40 × 10–07). Sex-stratified analyses revealed X chromosome variants that were differentially trending in one sex, with significantly different effect sizes or directions. Conclusions This investigation identified loci influencing lung function, COPD, and emphysema in a comprehensive genetic association meta-analysis of X chromosome genetic markers from multiple COPD-related datasets. Sex differences play an important role in the pathobiology of complex lung disease, including X chromosome variants that demonstrate differential effects by sex and variants that may be relevant through escape from X chromosome inactivation. Comprehensive interrogation of the X chromosome to better understand genetic control of COPD and lung function is important to further understanding of disease pathology. Trial registration Genetic Epidemiology of COPD Study (COPDGene) is registered at ClinicalTrials.gov, NCT00608764 (Active since January 28, 2008). Evaluation of COPD Longitudinally to Identify Predictive Surrogate Endpoints Study (ECLIPSE), GlaxoSmithKline study code SCO104960, is registered at ClinicalTrials.gov, NCT00292552 (Active since February 16, 2006). Genetics of COPD in Norway Study (GenKOLS) holds GlaxoSmithKline study code RES11080, Genetics of Chronic Obstructive Lung Disease.

Published
2023
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14. Early life environment and snoring in adulthood

Author

Franklin Karl A, Janson Christer, Gíslason Thórarinn, Gulsvik Amund, Gunnbjörnsdottir Maria, Laerum Birger N, Lindberg Eva, Norrman Eva, Nyström Lennarth, Omenaas Ernst, Torén Kjell, and Svanes Cecilie

Subjects
Diseases of the respiratory system, RC705-779
Abstract

Abstract Background To our knowledge, no studies of the possible association of early life environment with snoring in adulthood have been published. We aimed to investigate whether early life environment is associated with snoring later in life. Methods A questionnaire including snoring frequency in adulthood and environmental factors in early life was obtained from 16,190 randomly selected men and women, aged 25–54 years, in Sweden, Norway, Iceland, Denmark and Estonia (response rate 74%). Results A total of 15,556 subjects answered the questions on snoring. Habitual snoring, defined as loud and disturbing snoring at least 3 nights a week, was reported by 18%. Being hospitalized for a respiratory infection before the age of two years (adjusted odds ratio (OR) = 1.27; 95% confidence interval (CI) 1.01–1.59), suffering from recurrent otitis as a child (OR = 1.18; 95%CI 1.05–1.33), growing up in a large family (OR = 1.04; 95%CI 1.002–1.07) and being exposed to a dog at home as a newborn (OR = 1.26; 95%CI 1.12–1.42) were independently related to snoring later in life and independent of a number of possible confounders in adulthood. The same childhood environmental factors except household size were also related with snoring and daytime sleepiness combined. Conclusion The predisposition for adult snoring may be partly established early in life. Having had severe airway infections or recurrent otitis in childhood, being exposed to a dog as a newborn and growing up in a large family are environmental factors associated with snoring in adulthood.

Published
2008
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15. Genetic Associations and Architecture of Asthma-COPD Overlap

Author

John, Catherine, Guyatt, Anna L., Shrine, Nick, Packer, Richard, Olafsdottir, Thorunn A., Liu, Jiangyuan, Hayden, Lystra P., Chu, Su H., Koskela, Jukka T., Luan, Jian’an, Li, Xingnan, Terzikhan, Natalie, Xu, Hanfei, Bartz, Traci M., Petersen, Hans, Leng, Shuguang, Belinsky, Steven A., Cepelis, Aivaras, Hernández Cordero, Ana I., Obeidat, Ma’en, Thorleifsson, Gudmar, Meyers, Deborah A., Bleecker, Eugene R., Sakoda, Lori C., Iribarren, Carlos, Tesfaigzi, Yohannes, Gharib, Sina A., Dupuis, Josée, Brusselle, Guy, Lahousse, Lies, Ortega, Victor E., Jonsdottir, Ingileif, Sin, Don D., Bossé, Yohan, van den Berge, Maarten, Nickle, David, Quint, Jennifer K., Sayers, Ian, Hall, Ian P., Langenberg, Claudia, Ripatti, Samuli, Laitinen, Tarja, Wu, Ann C., Lasky-Su, Jessica, Bakke, Per, Gulsvik, Amund, Hersh, Craig P., Hayward, Caroline, Langhammer, Arnulf, Brumpton, Ben, Stefansson, Kari, Cho, Michael H., Wain, Louise V., and Tobin, Martin D.

Published
2022
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16. Outcome-based Definition of the Lower Limit of Normal in Spirometry: A Study of 26,000 Young Adult Men.

Author

Cestelli, Lucia, Stavem, Knut, Johannessen, Ane, Gulsvik, Amund, and Nielsen, Rune

Subjects
YOUNG adults, DEMOGRAPHIC surveys, SPIROMETRY, BODY mass index, YOUNG men, VITAL capacity (Respiration)
Abstract

Rationale: The definition of the lower limit of normal (LLN) of spirometric variables is not well established. Objectives: To investigate the relationship between spirometric abnormalities defined with different thresholds of the LLN and clinical outcomes and to explore the possibility of using different LLN thresholds according to the pretest probability of disease. Methods: We studied the associations between prebronchodilator spirometric abnormalities (forced expiratory volume in the first second [FEV1] < LLN, forced vital capacity [FVC] < LLN, airflow obstruction, spirometric restriction) defined with different thresholds of the LLN (10th, 5th, 2.5th, 1st percentile) and multiple outcomes (prevalence of spirometric abnormalities, respiratory symptoms, all-cause and respiratory mortality) in 26,091 30- to 46-year-old men who participated in a general population survey in Norway in 1988–1990 and were followed for 26 years. Analyses were performed with both local and Global Lung Function Initiative (GLI)-2012 reference equations, stratified by pretest risk (presence or absence of respiratory symptoms), and adjusted for age, body mass index, smoking, and education. Results: In the total population, the prevalence of airflow obstruction was 11.6% with GLI-LLN10, 11.0% with Local-LLN5, 6.1% with GLI-LLN5, 7.6% with Local-LLN2.5, and 3.5% with GLI-LLN2.5. The prevalence of spirometric restriction was 5.9% with GLI-LLN10, 5.2% with Local-LLN5, and 2.8% with GLI-LLN5. Increasingly lower thresholds of the LLN were associated with increasingly higher odds of respiratory symptoms and hazard of mortality for all spirometric abnormalities with both reference equations. Spirometric abnormalities defined with Local-LLN2.5 in asymptomatic subjects were associated with lower hazard of all-cause mortality (hazard ratio [HR], 1.50; 95% confidence interval [CI], 1.15–1.95 for FEV1 < LLN) than those defined with Local-LLN5 in the general population (HR, 1.67; 95% CI, 1.50–1.87 for FEV1 < LLN) and symptomatic subjects (HR, 1.67; 95% CI, 1.46–1.91 for FEV1 < LLN). Overall, the prevalence of spirometric abnormalities and associations with outcomes obtained with Local-LLN5 were comparable to those obtained with GLI-LLN10 and those obtained with Local-LLN2.5 to GLI-LLN5. Conclusions: There is a relationship between statistically based thresholds of the LLN of spirometric variables and clinical outcomes. Different thresholds of the LLN may be used in different risk subgroups of subjects, but the choice of the threshold needs to be evaluated together with the choice of reference equations. [ABSTRACT FROM AUTHOR]

Published
2024
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17. Period and cohort effects: consequences on spirometric lung function in Norway during the 20th century

Author

Lucia Cestelli, Ane Johannessen, Knut Stavem, Amund Gulsvik, and Rune Nielsen

Subjects
Medicine
Abstract

Background and aim Several factors can influence measured lung function over time. The aim of this study was to investigate period and cohort effects on spirometric measures in a large general population sample in Norway during the 20th century, using Global Lung Function Initiative (GLI-2012) equations as a reference. Methods 36 466 subjects (born 1894–1969) from four cross-sectional surveys conducted between 1965 and 1999 were included, with harmonised data on smoking habits, respiratory symptoms, lung diseases, education and spirometry. Changes in forced expiratory volume in 1 s (FEV1) and forced vital capacity (FVC) z-scores in healthy subjects across surveys were explored to investigate period effects. Linear mixed-effects models of FEV1 and FVC z-scores on birth cohort, with survey as random effect, were used to investigate cohort effects, both in subjects of the total population and in healthy ones. Results Relatively higher FEV1 and FVC z-scores in healthy subjects were found in the first survey (1965–1970) compared to the more recent ones (1988–1999), suggesting period effects. FEV1 and FVC z-scores increased significantly with birth cohort from 1894 to 1935, after adjustment for covariates. A more stable trend of FEV1 and FVC z-scores with birth cohort was evidenced for subjects born more recently (1945–1969). Conclusions An increase of lung function with year of birth was observed in Norwegian subjects during the first half of the 20th century. The impact of period effects on lung function decreased from 1965 to 1999.

Published
2022
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18. A genome-wide association study of bronchodilator response in participants of European and African ancestry from six independent cohorts

Author

Jessica D. Gereige, Hanfei Xu, Victor E. Ortega, Michael H. Cho, Ming Liu, Phuwanat Sakornsakolpat, Edwin K. Silverman, Terri H. Beaty, Bruce E. Miller, Per Bakke, Amund Gulsvik, Craig P. Hersh, Jarrett D. Morrow, Elizabeth J. Ampleford, Gregory A. Hawkins, Eugene R. Bleecker, Deborah A. Meyers, Stephen P. Peters, Juan C. Celedón, Kelan Tantisira, Jiang Li, Josée Dupuis, and George T. O'Connor

Subjects
Medicine
Abstract

Introduction Bronchodilator response (BDR) is a measurement of acute bronchodilation in response to short-acting β2-agonists, with a heritability between 10 and 40%. Identifying genetic variants associated with BDR may lead to a better understanding of its complex pathophysiology. Methods We performed a genome-wide association study (GWAS) of BDR in six adult cohorts with participants of European ancestry (EA) and African ancestry (AA) including community cohorts and cohorts ascertained on the basis of obstructive pulmonary disease. Validation analysis was carried out in two paediatric asthma cohorts. Results A total of 10 623 EA and 3597 AA participants were included in the analyses. No single nucleotide polymorphism (SNP) was associated with BDR at the conventional genome-wide significance threshold (p

Published
2022
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22. Chronic obstructive pulmonary disease and related phenotypes: polygenic risk scores in population-based and case-control cohorts

Author

Soler Artigas, María, Jackson, Victoria E, Strachan, David P, Hui, Jennie, James, Alan L, Kerr, Shona M, Polasek, Ozren, Vitart, Veronique, Marten, Jonathan, Rudan, Igor, Kähönen, Mika, Surakka, Ida, Gieger, Christian, Karrasch, Stefan, Rawal, Rajesh, Schulz, Holger, Deary, Ian J, Harris, Sarah E, Enroth, Stefan, Gyllensten, Ulf, Imboden, Medea, Probst-Hensch, Nicole M, Lehtimäki, Terho, Raitakari, Olli T, Langenberg, Claudia, Luan, Jian'an, Wareham, Nick, Zhao, Jing Hua, Hayward, Caroline, Murray, Alison, Porteous, David J, Smith, Blair H, Jarvelin, Marjo-Riitta, Wielscher, Matthias, Joshi, Peter K, Kentistou, Katherine A, Timmers, Paul RHJ, Wilson, James F, Cook, James P, Lind, Lars, Mahajan, Anubha, Morris, Andrew P, Ewert, Ralf, Homuth, Georg, Stubbe, Beate, Weiss, Stefan, Zeggini, Eleftheria, Moll, Matthew, Sakornsakolpat, Phuwanat, Shrine, Nick, Hobbs, Brian D, DeMeo, Dawn L, John, Catherine, Guyatt, Anna L, McGeachie, Michael J, Gharib, Sina A, Obeidat, Ma'en, Lahousse, Lies, Wijnant, Sara R A, Brusselle, Guy, Meyers, Deborah A, Bleecker, Eugene R, Li, Xingnan, Tal-Singer, Ruth, Manichaikul, Ani, Rich, Stephen S, Won, Sungho, Kim, Woo Jin, Do, Ah Ra, Washko, George R, Barr, R Graham, Psaty, Bruce M, Bartz, Traci M, Hansel, Nadia N, Barnes, Kathleen, Hokanson, John E, Crapo, James D, Lynch, David, Bakke, Per, Gulsvik, Amund, Hall, Ian P, Wain, Louise, Weiss, Scott T, Silverman, Edwin K, Dudbridge, Frank, Tobin, Martin D, and Cho, Michael H

Published
2020
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23. Common and Rare Variants Genetic Association Analysis of Cigarettes per Day Among Ever-Smokers in Chronic Obstructive Pulmonary Disease Cases and Controls

Author

ECLIPSE and COPDGene Investigators, Lutz, Sharon M., Frederiksen, Brittni, Begum, Ferdouse, McDonald, Merry-Lynn N., Cho, Michael H., Hobbs, Brian D., Parker, Margaret M., DeMeo, Dawn L., Hersh, Craig P., Ehringer, Marissa A., Young, Kendra, Jiang, Lai, Foreman, Marilyn G., Kinney, Greg L., Make, Barry J., Lomas, David A., Bakke, Per, Gulsvik, Amund, Crapo, James D., Silverman, Edwin K., Beaty, Terri H., and Hokanson, John E.

Published
2019

25. Overdiagnosis of COPD in Subjects With Unobstructed Spirometry: A BOLD Analysis

Author

Zhong, NanShan, Liu, Shengming, Lu, Jiachun, Ran, Pixin, Wang, Dali, Zheng, Jingping, Zhou, Yumin, Kocabaş, Ali, Hancioglu, Attila, Hanta, Ismail, Kuleci, Sedat, Turkyilmaz, Ahmet Sinan, Umut, Sema, Unalan, Turgay, Studnicka, Michael, Dawes, Torkil, Lamprecht, Bernd, Sator, Lea, 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, Gislason, Thorarinn, Benedikdtsdottir, Bryndis, Jörundsdottir, Kristin, Gudmundsdottir, Lovisa, Gudmundsdottir, Sigrun, Gundmundsson, Gunnar, Nizankowska-Mogilnicka, Ewa, Frey, Jakub, Harat, Rafal, Mejza, Filip, Nastalek, Pawel, Pajak, Andrzej, Skucha, Wojciech, Szczeklik, Andrzej, Twardowska, Magda, Welte, Tobias, Bodemann, Isabelle, Geldmacher, Henning, Schweda-Linow, Alexandra, Gulsvik, Amund, Endresen, Tina, Svendsen, Lene, Tan, Wan C., Wang, Wen, Mannino, David M., Cain, John, Copeland, Rebecca, Hazen, Dana, Methvin, Jennifer, Dantes, Renato B., Amarillo, Lourdes, Berratio, Lakan U., Fernandez, Lenora C., Francisco, Norberto A., Garcia, Gerard S., de Guia, Teresita S., Idolor, Luisito F., Naval, Sullian S., Reyes, Thessa, Roa, Camilo C., Jr., Sanchez, Ma. Flordeliza, Simpao, Leander P., Jenkins, Christine, Marks, Guy, Bird, Tessa, Espinel, Paola, Hardaker, Kate, Toelle, Brett, Burney, Peter G.J., Amor, Caron, Potts, James, Tumilty, Michael, McLean, Fiona, Wouters, E.F.M., Wesseling, G.J., Bárbara, Cristina, Rodrigues, Fátima, Dias, Hermínia, Cardoso, João, Almeida, João, Matos, Maria João, Simão, Paula, Santos, Moutinho, Ferreira, Reis, Janson, Christer, Olafsdottir, Inga Sif, Nisser, Katarina, Spetz-Nyström, Ulrike, Hägg, Gunilla, Lund, Gun-Marie, Jõgi, Rain, Laja, Hendrik, Ulst, Katrin, Zobel, Vappu, Lill, Toomas-Julius, 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, Harrabi, Imed, Denguezli, Myriam, Tabka, Zouhair, Daldoul, Hager, Boukheroufa, Zaki, Chouikha, Firas, Khalifa, Wahbi Belhaj, Roa, Camilo C., Ayuyao, Fernando G., Tady, Cecil Z., Tan, Daniel T., Banal-Yang, Sylvia, Balanag, Vincent M., Jr., Reyes, Maria Teresita N., 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, Obaseki, Daniel, Erhabor, Gregory, Awopeju, Olayemi, Adewole, Olufemi, Horner, Andreas, Kaiser, Bernhard, McBurnie, Mary Ann, Buist, A. Sonia, Gnatiuc, Luisa, Bateman, Eric D., and Burney, Peter

Published
2019
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26. New genetic signals for lung function highlight pathways and chronic obstructive pulmonary disease associations across multiple ancestries

Author

Shrine, Nick, Guyatt, Anna L., Erzurumluoglu, A. Mesut, Jackson, Victoria E., Hobbs, Brian D., Melbourne, Carl A., Batini, Chiara, Fawcett, Katherine A., Song, Kijoung, Sakornsakolpat, Phuwanat, Li, Xingnan, Boxall, Ruth, Reeve, Nicola F., Obeidat, Ma’en, Zhao, Jing Hua, Wielscher, Matthias, Weiss, Stefan, Kentistou, Katherine A., Cook, James P., Sun, Benjamin B., Zhou, Jian, Hui, Jennie, Karrasch, Stefan, Imboden, Medea, Harris, Sarah E, Marten, Jonathan, Enroth, Stefan, Kerr, Shona M., Surakka, Ida, Vitart, Veronique, Lehtimäki, Terho, Allen, Richard J., Bakke, Per S., Beaty, Terri H., Bleecker, Eugene R., Bossé, Yohan, Brandsma, Corry-Anke, Chen, Zhengming, Crapo, James D., Danesh, John, DeMeo, Dawn L., Dudbridge, Frank, Ewert, Ralf, Gieger, Christian, Gulsvik, Amund, Hansell, Anna L., Hao, Ke, Hoffman, Joshua D., Hokanson, John E., Homuth, Georg, Joshi, Peter K., Joubert, Philippe, Langenberg, Claudia, Li, Xuan, Li, Liming, Lin, Kuang, Lind, Lars, Locantore, Nicholas, Luan, Jian’an, Mahajan, Anubha, Maranville, Joseph C., Murray, Alison, Nickle, David C., Packer, Richard, Parker, Margaret M., Paynton, Megan L., Porteous, David J., Prokopenko, Dmitry, Qiao, Dandi, Rawal, Rajesh, Runz, Heiko, Sayers, Ian, Sin, Don D, Smith, Blair H, Soler Artigas, María, Sparrow, David, Tal-Singer, Ruth, Timmers, Paul R. H. J., Van den Berge, Maarten, Whittaker, John C., Woodruff, Prescott G., Yerges-Armstrong, Laura M., Troyanskaya, Olga G., Raitakari, Olli T., Kähönen, Mika, Polašek, Ozren, Gyllensten, Ulf, Rudan, Igor, Deary, Ian J., Probst-Hensch, Nicole M., Schulz, Holger, James, Alan L, Wilson, James F., Stubbe, Beate, Zeggini, Eleftheria, Jarvelin, Marjo-Riitta, Wareham, Nick, Silverman, Edwin K., Hayward, Caroline, Morris, Andrew P., Butterworth, Adam S., Scott, Robert A., Walters, Robin G., Meyers, Deborah A., Cho, Michael H., Strachan, David P., Hall, Ian P., Tobin, Martin D., and Wain, Louise V.

Published
2019
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27. Genetic landscape of chronic obstructive pulmonary disease identifies heterogeneous cell-type and phenotype associations

Author

Sakornsakolpat, Phuwanat, Prokopenko, Dmitry, Lamontagne, Maxime, Reeve, Nicola F., Guyatt, Anna L., Jackson, Victoria E., Shrine, Nick, Qiao, Dandi, Bartz, Traci M., Kim, Deog Kyeom, Lee, Mi Kyeong, Latourelle, Jeanne C., Li, Xingnan, Morrow, Jarrett D., Obeidat, Ma’en, Wyss, Annah B., Bakke, Per, Barr, R. Graham, Beaty, Terri H., Belinsky, Steven A., Brusselle, Guy G., Crapo, James D., de Jong, Kim, DeMeo, Dawn L., Fingerlin, Tasha E., Gharib, Sina A., Gulsvik, Amund, Hall, Ian P., Hokanson, John E., Kim, Woo Jin, Lomas, David A., London, Stephanie J., Meyers, Deborah A., O’Connor, George T., Rennard, Stephen I., Schwartz, David A., Sliwinski, Pawel, Sparrow, David, Strachan, David P., Tal-Singer, Ruth, Tesfaigzi, Yohannes, Vestbo, Jørgen, Vonk, Judith M., Yim, Jae-Joon, Zhou, Xiaobo, Bossé, Yohan, Manichaikul, Ani, Lahousse, Lies, Silverman, Edwin K., Boezen, H. Marike, Wain, Louise V., Tobin, Martin D., Hobbs, Brian D., and Cho, Michael H.

Published
2019
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34. Biomarkers predictive of atrial fibrillation in patients with cryptogenic stroke. Insights from the Nordic Atrial Fibrillation and Stroke (NOR‐FIB) study.

Author

Tancin Lambert, Anna, Ratajczak‐Tretel, Barbara, Al‐Ani, Riadh, Arntzen, Kathrine, Bakkejord, Grete Kristin, Bekkeseth, Hanna Marie Otterholt, Bjerkeli, Vigdis, Eldøen, Guttorm, Gulsvik, Anne Kristine, Halvorsen, Bente, Høie, Gudrun Anette, Ihle‐Hansen, Hege, Ihle‐Hansen, Håkon, Ingebrigtsen, Susanne, Johansen, Henriette, Kremer, Christine, Krogseth, Siv Bohne, Kruuse, Christina, Kurz, Martin, and Nakstad, Ingvild

Subjects
ISCHEMIC stroke, ATRIAL fibrillation, BRAIN natriuretic factor, TRANSIENT ischemic attack, RECEIVER operating characteristic curves
Abstract

Background and purpose: There are currently no biomarkers to select cryptogenic stroke (CS) patients for monitoring with insertable cardiac monitors (ICMs), the most effective tool for diagnosing atrial fibrillation (AF) in CS. The purpose of this study was to assess clinically available biomarkers as predictors of AF. Methods: Eligible CS and cryptogenic transient ischaemic attack patients underwent 12‐month monitoring with ICMs, clinical follow‐up and biomarker sampling. Levels of cardiac and thromboembolic biomarkers, taken within 14 days from symptom onset, were compared between patients diagnosed with AF (n = 74) during monitoring and those without AF (n = 185). Receiver operating characteristic curves were created. Biomarkers reaching area under the receiver operating characteristic curve ≥ 0.7 were dichotomized by finding optimal cut‐off values and were used in logistic regression establishing their predictive value for increased risk of AF in unadjusted and adjusted models. Results: B‐type natriuretic peptide (BNP), N‐terminal pro‐brain natriuretic peptide (NT‐proBNP), creatine kinase, D‐dimer and high‐sensitivity cardiac troponin I and T were significantly higher in the AF than non‐AF group. BNP and NT‐proBNP reached the predefined area under the curve level, 0.755 and 0.725 respectively. Optimal cut‐off values were 33.5 ng/l for BNP and 87 ng/l for NT‐proBNP. Regression analysis showed that NT‐proBNP was a predictor of AF in both unadjusted (odds ratio 7.72, 95% confidence interval 3.16–18.87) and age‐ and sex‐adjusted models (odds ratio 4.82, 95% confidence interval 1.79–12.96). Conclusion: Several clinically established biomarkers were associated with AF. NT‐proBNP performed best as AF predictor and could be used for selecting patients for long‐term monitoring with ICMs. [ABSTRACT FROM AUTHOR]

Published
2023
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37. Sex-Based Genetic Association Study Identifies CELSR1 as a Possible Chronic Obstructive Pulmonary Disease Risk Locus among Women

Author

Hardin, Megan, Cho, Michael H., Sharma, Sunita, Glass, Kimberly, Castaldi, Peter J., McDonald, Merry-Lynn, Aschard, Hugues, Senter-Sylvia, Jody, Tantisira, Kelan, Weiss, Scott T., Hersh, Craig P., Morrow, Jarrett D., Lomas, David, Agusti, Alvar, Bakke, Per, Gulsvik, Amund, OʼConnor, George T., Dupuis, Josée, Hokanson, John, Crapo, James D., Beaty, Terri H., Laird, Nan, Silverman, Edwin K., and DeMeo, Dawn L.

Published
2017
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41. Respiratory symptoms and cardiovascular causes of deaths: A population-based study with 45 years of follow-up.

Author

Stavem, Knut, Schirmer, Henrik, and Gulsvik, Amund

Subjects
CARDIOVASCULAR disease related mortality, MYOCARDIAL infarction, CORONARY disease, CARDIOVASCULAR system physiology, MYOCARDIAL ischemia, HEART diseases
Abstract

This study determined the association between respiratory symptoms and death from cardiovascular (CV) diseases during 45 years in a pooled sample of four cohorts of random samples of the Norwegian population with 95,704 participants. Respiratory symptoms were assessed using a modification of the MRC questionnaire on chronic bronchitis. We analyzed the association between respiratory symptoms and specific cardiovascular deaths by using Cox regression analysis with age as the time variable, accounting for cluster-specific random effects using shared frailty for study cohort. Hazard ratios (HR) for death were adjusted for sex, highest attained education, smoking habits, occupational air pollution, and birth cohort. Overall, 12,491 (13%) of participants died from CV diseases: 4,123 (33%) acute myocardial infarction, 2,326 (18%) other ischemic heart disease, 2,246 (18%) other heart diseases, 2,553 (20%) cerebrovascular diseases, and 1,120 (9%) other vascular diseases. The adjusted HR (95% confidence interval) for CV deaths was 1.9 (1.7–2.1) in men and 1.5 (1.2–1.9) in women for "yes" to the question "Are you breathless when you walk on level ground at an ordinary pace?". The same item response showed an adjusted HR for death from acute myocardial infarction of 1.8 (1.5–2.1), other ischemic heart disease 2.2 (1.8–2.7), other heart diseases 1.5 (1.1–1.9), cerebrovascular disease 1.8 (1.5–2.3), and other circulatory diseases 1.7 (1.2–2.4). The adjusted HR for CV death was 1.3 (1.2–1.4) when answering positive to the question" Are you more breathless than people of your own age when walking uphill?". However, positive answers to questions on cough, phlegm, wheezing and attacks of breathlessness were after adjustments not associated with early CV deaths. The associations between CV deaths and breathlessness were also present in never smokers. Self-reported breathlessness was associated with CV deaths and could be an early marker of CV deaths. [ABSTRACT FROM AUTHOR]

Published
2022
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42. α;1-Antitrypsin Protease Inhibitor MZ Heterozygosity Is Associated With Airflow Obstruction in Two Large Cohorts

Author

Sørheim, Inga-Cecilie, Bakke, Per, Gulsvik, Amund, Pillai, Sreekumar G., Johannessen, Ane, Gaarder, Per I., Campbell, Edward J., Agustí, Alvar, Calverley, Peter M.A., Donner, Claudio F., Make, Barry J., Rennard, Stephen I., Vestbo, Jørgen, Wouters, Emiel F.M., Paré, Peter D., Levy, Robert D., Coxson, Harvey O., Lomas, David A., Hersh, Craig P., and Silverman, Edwin K.

Published
2010
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46. Genetic control of gene expression at novel and established chronic obstructive pulmonary disease loci

Author

Castaldi, Peter J., Cho, Michael H., Zhou, Xiaobo, Qiu, Weiliang, Mcgeachie, Michael, Celli, Bartolome, Bakke, Per, Gulsvik, Amund, Lomas, David A., Crapo, James D., Beaty, Terri H., Rennard, Stephen, Harshfield, Benjamin, Lange, Christoph, Singh, Dave, Tal-Singer, Ruth, Riley, John H., Quackenbush, John, Raby, Benjamin A., Carey, Vincent J., Silverman, Edwin K., and Hersh, Craig P.

Published
2015
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47. Common Genetic Variants Associated with Resting Oxygenation in Chronic Obstructive Pulmonary Disease

Author

McDonald, Merry-Lynn N., Cho, Michael H., Sørheim, Inga-Cecilie, Lutz, Sharon M., Castaldi, Peter J., Lomas, David A., Coxson, Harvey O., Edwards, Lisa D., MacNee, William, Vestbo, Jørgen, Yates, Julie C., Agusti, Alvar, Calverley, Peter M. A., Celli, Bartolome, Crim, Courtney, Rennard, Stephen I., Wouters, Emiel F. M., Bakke, Per, Tal-Singer, Ruth, Miller, Bruce E., Gulsvik, Amund, Casaburi, Richard, Wells, Michael J., Regan, Elizabeth A., Make, Barry J., Hokanson, John E., Lange, Christoph, Crapo, James D., Beaty, Terri H., Silverman, Edwin K., and Hersh, Craig P.

Published
2014
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48. Dissecting direct and indirect genetic effects on chronic obstructive pulmonary disease (COPD) susceptibility

Author

Siedlinski, Mateusz, Tingley, Dustin, Lipman, Peter J., Cho, Michael H., Litonjua, Augusto A., Sparrow, David, Bakke, Per, Gulsvik, Amund, Lomas, David A., Anderson, Wayne, Kong, Xiangyang, Rennard, Stephen I., Beaty, Terri H., Hokanson, John E., Crapo, James D., Lange, Christoph, Silverman, Edwin K., and and the COPDGene and ECLIPSE Investigators

Published
2013
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