Subpopulations and Intermediate Outcome Measures in COPD Study (SPIROMICS)

Clinical Significance of Symptoms in Smokers with Preserved Pulmonary Function.

P. Woodruff, R. Barr, E. Bleecker, et al.. (2016). The New England journal of medicine. Cited 584 times. https://doi.org/10.1056/NEJMoa1505971

Design of the Subpopulations and Intermediate Outcomes in COPD Study (SPIROMICS)

D. Couper, L. LaVange, M. Han, et al.. (2013). Thorax. Cited 372 times. https://doi.org/10.1136/thoraxjnl-2013-203897

Genetic loci associated with chronic obstructive pulmonary disease overlap with loci for lung function and pulmonary fibrosis

B. Hobbs, K. de Jong, M. Lamontagne, et al.. (2017). Nature Genetics. Cited 309 times. https://doi.org/10.1038/ng.3752

Airway Mucin Concentration as a Marker of Chronic Bronchitis

M. Kesimer, A. A. Ford, A. Ceppe, et al.. (2017). The New England Journal of Medicine. Cited 288 times. https://doi.org/10.1056/NEJMoa1701632

Frequency of Exacerbations in COPD: An Analysis of the SPIROMICS Cohort

M. Han, P. Quibrera, Elizabeth E. Carretta, et al.. (2017). The Lancet. Respiratory medicine. Cited 213 times. https://doi.org/10.1016/S2213-2600(17)30207-2

SPIROMICS Protocol for Multicenter Quantitative Computed Tomography to Phenotype the Lungs.

J. Sieren, J. Newell, R. Barr, et al.. (2016). American journal of respiratory and critical care medicine. Cited 209 times. https://doi.org/10.1164/RCCM.201506-1208PP

Sputum or blood eosinophil association with clinical measures of COPD severity in the SPIROMICS cohort

A. Hastie, F. Martinez, J. Curtis, et al.. (2017). The Lancet. Respiratory medicine. Cited 152 times. https://doi.org/10.1016/S2213-2600(17)30432-0

Comparison of spatially matched airways reveals thinner airway walls in COPD. The Multi-Ethnic Study of Atherosclerosis (MESA) COPD Study and the Subpopulations and Intermediate Outcomes in COPD Study (SPIROMICS)

Benjamin M. Smith, Benjamin M. Smith, E. Hoffman, et al.. (2014). Thorax. Cited 139 times. https://doi.org/10.1136/thoraxjnl-2014-205160

Association of Dysanapsis With Chronic Obstructive Pulmonary Disease Among Older Adults.

Benjamin M. Smith, M. Kirby, E. Hoffman, et al.. (2020). JAMA. Cited 133 times. https://doi.org/10.1001/jama.2020.6918

Airway mucin MUC5AC and MUC5B concentrations and the initiation and progression of chronic obstructive pulmonary disease: an analysis of the SPIROMICS cohort.

G. Radicioni, A. Ceppe, A. A. Ford, et al.. (2021). The Lancet. Respiratory medicine. Cited 133 times. https://doi.org/10.1016/S2213-2600(21)00079-5

Comparison of Proteomic Assessment Methods in Multiple Cohort Studies

L. Raffield, H. Dang, K. Pratte, et al.. (2020). PROTEOMICS. Cited 131 times. https://doi.org/10.1002/pmic.201900278

Occupational exposures are associated with worse morbidity in patients with chronic obstructive pulmonary disease.

L. Paulin, G. Diette, P. Blanc, et al.. (2015). American journal of respiratory and critical care medicine. Cited 118 times. https://doi.org/10.1164/rccm.201408-1407OC

Common Genetic Polymorphisms Influence Blood Biomarker Measurements in COPD

Wei Sun, Katerina Kechris, S. Jacobson, et al.. (2016). PLoS Genetics. Cited 111 times. https://doi.org/10.1371/journal.pgen.1006011

The value of blood cytokines and chemokines in assessing COPD

E. Bradford, S. Jacobson, Jason Varasteh, et al.. (2017). Respiratory Research. Cited 109 times. https://doi.org/10.1186/s12931-017-0662-2

Biomarkers Predictive of Exacerbations in the SPIROMICS and COPDGene Cohorts

Jason D. Keene, S. Jacobson, K. Kechris, et al.. (2017). American Journal of Respiratory and Critical Care Medicine. Cited 108 times. https://doi.org/10.1164/rccm.201607-1330OC

Parametric response mapping monitors temporal changes on lung CT scans in the subpopulations and intermediate outcome measures in COPD Study (SPIROMICS).

J. Boes, B. Hoff, Maria Bule, et al.. (2015). Academic radiology. Cited 105 times. https://doi.org/10.1016/j.acra.2014.08.015

Human airway branch variation and chronic obstructive pulmonary disease

Benjamin M. Smith, H. Traboulsi, J. Austin, et al.. (2018). Proceedings of the National Academy of Sciences. Cited 102 times. https://doi.org/10.1073/pnas.1715564115

Electronic Cigarette Use in US Adults at Risk for or with COPD: Analysis from Two Observational Cohorts

R. Bowler, R. Bowler, N. Hansel, et al.. (2017). Journal of General Internal Medicine. Cited 93 times. https://doi.org/10.1007/s11606-017-4150-7

An airway epithelial IL-17A response signature identifies a steroid-unresponsive COPD patient subgroup

S. Christenson, M. Berge, A. Faiz, et al.. (2018). The Journal of Clinical Investigation. Cited 85 times. https://doi.org/10.1172/JCI121087

Age and Small Airway Imaging Abnormalities in Subjects with and without Airflow Obstruction in SPIROMICS

C. Martinez, A. Díaz, C. Meldrum, et al.. (2017). American Journal of Respiratory and Critical Care Medicine. Cited 74 times. https://doi.org/10.1164/rccm.201604-0871OC

Cigarette smoke disrupts monolayer integrity by altering epithelial cell-cell adhesion and cortical tension.

Kristine Nishida, Kieran A. Brune, N. Putcha, et al.. (2017). American journal of physiology. Lung cellular and molecular physiology. Cited 69 times. https://doi.org/10.1152/ajplung.00074.2017

A Simplified Score to Quantify Comorbidity in COPD

N. Putcha, M. Puhan, M. Drummond, et al.. (2014). PLoS ONE. Cited 64 times. https://doi.org/10.1371/journal.pone.0114438

Elevated circulating MMP-9 is linked to increased COPD exacerbation risk in SPIROMICS and COPDGene.

J. M. Wells, M. Parker, Robert A. Oster, et al.. (2018). JCI insight. Cited 64 times. https://doi.org/10.1172/jci.insight.123614

Reconsidering the Utility of Race-Specific Lung Function Prediction Equations.

A. Baugh, S. Shiboski, N. Hansel, et al.. (2021). American journal of respiratory and critical care medicine. Cited 64 times. https://doi.org/10.1164/rccm.202105-1246OC

Association of Long-term Ambient Ozone Exposure With Respiratory Morbidity in Smokers.

L. Paulin, A. Gassett, N. Alexis, et al.. (2019). JAMA internal medicine. Cited 63 times. https://doi.org/10.1001/jamainternmed.2019.5498

Lung microbiota associations with clinical features of COPD in the SPIROMICS cohort

K. Opron, L. Begley, J. Erb-Downward, et al.. (2021). npj Biofilms and Microbiomes. Cited 56 times. https://doi.org/10.1038/s41522-021-00185-9

Contribution of Individual and Neighborhood Factors to Racial Disparities in Respiratory Outcomes.

C. Ejike, H. Woo, P. Galiatsatos, et al.. (2020). American journal of respiratory and critical care medicine. Cited 53 times. https://doi.org/10.1164/rccm.202002-0253OC

Comparison of serum, EDTA plasma and P100 plasma for luminex-based biomarker multiplex assays in patients with chronic obstructive pulmonary disease in the SPIROMICS study

W. O’Neal, W. Anderson, P. Basta, et al.. (2014). Journal of Translational Medicine. Cited 52 times. https://doi.org/10.1186/1479-5876-12-9

Comparison of low‐ and ultralow‐dose computed tomography protocols for quantitative lung and airway assessment

E. Hammond, Chelsea M. Sloan, J. Newell, et al.. (2017). Medical Physics. Cited 51 times. https://doi.org/10.1002/mp.12436

Age-Related Differences in Health-Related Quality of Life in COPD: An Analysis of the COPDGene and SPIROMICS Cohorts.

C. Martinez, A. Díaz, A. Parulekar, et al.. (2016). Chest. Cited 50 times. https://doi.org/10.1016/j.chest.2015.11.025

Sleep disruption as a predictor of quality of life among patients in the subpopulations and intermediate outcome measures in COPD study (SPIROMICS)

M. Zeidler, Jennifer L Martin, E. Kleerup, et al.. (2018). SLEEP. Cited 47 times. https://doi.org/10.1093/sleep/zsy044

The Effects of Rare SERPINA1 Variants on Lung Function and Emphysema in SPIROMICS.

V. Ortega, Xingnan Li, W. O’Neal, et al.. (2020). American journal of respiratory and critical care medicine. Cited 47 times. https://doi.org/10.1164/rccm.201904-0769oc

Lower serum IgA is associated with COPD exacerbation risk in SPIROMICS

N. Putcha, Gabriel G Paul, A. Azar, et al.. (2018). PLoS ONE. Cited 45 times. https://doi.org/10.1371/journal.pone.0194924

Design of a multi-center immunophenotyping analysis of peripheral blood, sputum and bronchoalveolar lavage fluid in the Subpopulations and Intermediate Outcome Measures in COPD Study (SPIROMICS)

C. Freeman, S. Crudgington, V. Stolberg, et al.. (2015). Journal of Translational Medicine. Cited 43 times. https://doi.org/10.1186/s12967-014-0374-z

Rural Residence and Chronic Obstructive Pulmonary Disease Exacerbations. Analysis of the SPIROMICS Cohort

Robert M. Burkes, A. Gassett, A. Ceppe, et al.. (2018). Annals of the American Thoracic Society. Cited 40 times. https://doi.org/10.1513/AnnalsATS.201710-837OC

Radiographic lung volumes predict progression to COPD in smokers with preserved spirometry in SPIROMICS

M. Arjomandi, S. Zeng, I. Barjaktarevic, et al.. (2019). European Respiratory Journal. Cited 39 times. https://doi.org/10.1183/13993003.02214-2018

Soluble receptor for advanced glycation end products (sRAGE) as a biomarker of COPD

K. Pratte, Jeffrey L. Curtis, Katerina Kechris, et al.. (2020). Respiratory Research. Cited 39 times. https://doi.org/10.1186/s12931-021-01686-z

Anemia and Adverse Outcomes in a Chronic Obstructive Pulmonary Disease Population with a High Burden of Comorbidities. An Analysis from SPIROMICS

N. Putcha, A. Fawzy, Gabriel G Paul, et al.. (2018). Annals of the American Thoracic Society. Cited 38 times. https://doi.org/10.1513/AnnalsATS.201708-687OC

Association of urine mitochondrial DNA with clinical measures of COPD in the SPIROMICS cohort.

William Z. Zhang, William Z. Zhang, M. Rice, et al.. (2020). JCI insight. Cited 38 times. https://doi.org/10.1172/jci.insight.133984

Chronic lung disease in adult recurrent tuberculosis survivors in Zimbabwe: a cohort study.

A. Chin, Jamie Rylance, Salome Makumbirofa, et al.. (2019). The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease. Cited 37 times. https://doi.org/10.5588/ijtld.18.0313

Respiratory Symptoms Items from the COPD Assessment Test Identify Ever‐Smokers with Preserved Lung Function at Higher Risk for Poor Respiratory Outcomes. An Analysis of the Subpopulations and Intermediate Outcome Measures in COPD Study Cohort

C. Martinez, S. Murray, Graham Barr, et al.. (2017). Annals of the American Thoracic Society. Cited 36 times. https://doi.org/10.1513/AnnalsATS.201610-815OC

Marijuana Use Associations with Pulmonary Symptoms and Function in Tobacco Smokers Enrolled in the Subpopulations and Intermediate Outcome Measures in COPD Study (SPIROMICS).

Madeline A Morris, S. Jacobson, G. Kinney, et al.. (2018). Chronic obstructive pulmonary diseases. Cited 36 times. https://doi.org/10.15326/jcopdf.5.1.2017.0141

The Association Between Neighborhood Socioeconomic Disadvantage and Chronic Obstructive Pulmonary Disease

P. Galiatsatos, Han Woo, L. Paulin, et al.. (2020). International Journal of Chronic Obstructive Pulmonary Disease. Cited 36 times. https://doi.org/10.2147/COPD.S238933

Bronchoalveolar Lavage Fluid from COPD Patients Reveals More Compounds Associated with Disease than Matched Plasma

Eitan Halper-Stromberg, L. Gillenwater, C. Cruickshank-Quinn, et al.. (2019). Metabolites. Cited 35 times. https://doi.org/10.3390/metabo9080157

Associations between 25-hydroxy-vitamin D levels, lung function, and exacerbation outcomes in COPD: An analysis of the SPIROMICS cohort.

Robert M. Burkes, A. Ceppe, C. Doerschuk, et al.. (2020). Chest. Cited 35 times. https://doi.org/10.1016/j.chest.2019.11.047

Lung Microbiota and Metabolites Collectively Associate with Clinical Outcomes in Milder Stage COPD.

S. Madapoosi, C. Cruickshank-Quinn, K. Opron, et al.. (2022). American journal of respiratory and critical care medicine. Cited 34 times. https://doi.org/10.1164/rccm.202110-2241OC

Association between Emphysema and Chronic Obstructive Pulmonary Disease Outcomes in the COPDGene and SPIROMICS Cohorts: A Post Hoc Analysis of Two Clinical Trials.

M. Han, N. Tayob, S. Murray, et al.. (2018). American journal of respiratory and critical care medicine. Cited 33 times. https://doi.org/10.1164/rccm.201801-0051LE

Aspirin Use and Respiratory Morbidity in COPD: A Propensity Score‐Matched Analysis in Subpopulations and Intermediate Outcome Measures in COPD Study

A. Fawzy, N. Putcha, C. P. Aaron, et al.. (2019). Chest. Cited 33 times. https://doi.org/10.1016/j.chest.2018.11.028

Genome-wide association study of lung function and clinical implication in heavy smokers

Xingnan Li, V. Ortega, E. Ampleford, et al.. (2018). BMC Medical Genetics. Cited 32 times. https://doi.org/10.1186/s12881-018-0656-z

Occupational Exposures and Computed Tomographic Imaging Characteristics in the SPIROMICS Cohort

L. Paulin, Benjamin M. Smith, A. Koch, et al.. (2018). Annals of the American Thoracic Society. Cited 32 times. https://doi.org/10.1513/AnnalsATS.201802-150OC

Association of thrombocytosis with COPD morbidity: the SPIROMICS and COPDGene cohorts

A. Fawzy, N. Putcha, L. Paulin, et al.. (2018). Respiratory Research. Cited 31 times. https://doi.org/10.1186/s12931-018-0717-z

Alignment of Inhaled Chronic Obstructive Pulmonary Disease Therapies with Published Strategies. Analysis of the Global Initiative for Chronic Obstructive Lung Disease Recommendations in SPIROMICS

Sohini Ghosh, W. Anderson, N. Putcha, et al.. (2019). Annals of the American Thoracic Society. Cited 30 times. https://doi.org/10.1513/AnnalsATS.201804-283OC

Centrilobular emphysema and coronary artery calcification: mediation analysis in the SPIROMICS cohort

S. Bhatt, H. Nath, Young-il Kim, et al.. (2018). Respiratory Research. Cited 29 times. https://doi.org/10.1186/s12931-018-0946-1

Imaging-based clusters in former smokers of the COPD cohort associate with clinical characteristics: the SubPopulations and intermediate outcome measures in COPD study (SPIROMICS)

Babak Haghighi, Sanghun Choi, Jiwoong Choi, et al.. (2018). Respiratory Research. Cited 29 times. https://doi.org/10.1186/s12931-019-1121-z

NT-proBNP in stable COPD and future exacerbation risk: Analysis of the SPIROMICS cohort.

W. Labaki, Meng Xia, S. Murray, et al.. (2018). Respiratory medicine. Cited 27 times. https://doi.org/10.1016/j.rmed.2018.06.005

Imaging-based clusters in current smokers of the COPD cohort associate with clinical characteristics: the SubPopulations and Intermediate Outcome Measures in COPD Study (SPIROMICS)

Babak Haghighi, Sanghun Choi, Jiwoong Choi, et al.. (2018). Respiratory Research. Cited 27 times. https://doi.org/10.1186/s12931-018-0888-7

Serum amino acid concentrations and clinical outcomes in smokers: SPIROMICS metabolomics study

W. Labaki, T. Gu, S. Murray, et al.. (2019). Scientific Reports. Cited 27 times. https://doi.org/10.1038/s41598-019-47761-w

Systemic Markers of Inflammation in Smokers With Symptoms Despite Preserved Spirometry in SPIROMICS

Suresh Garudadri, P. Woodruff, M. Han, et al.. (2019). Chest. Cited 26 times. https://doi.org/10.1016/j.chest.2018.12.022

Genetic and non-genetic factors affecting the expression of COVID-19-relevant genes in the large airway epithelium

S. Kasela, Victor E. Ortega, M. Martorella, et al.. (2020). Genome Medicine. Cited 25 times. https://doi.org/10.1186/s13073-021-00866-2

Plasma Metabolomic Signatures of Chronic Obstructive Pulmonary Disease and the Impact of Genetic Variants on Phenotype-Driven Modules

L. Gillenwater, K. Pratte, B. Hobbs, et al.. (2020). Network and Systems Medicine. Cited 25 times. https://doi.org/10.1089/nsm.2020.0009

Variability in objective and subjective measures affects baseline values in studies of patients with COPD

W. Anderson, J. Ha, D. Couper, et al.. (2017). PLoS ONE. Cited 24 times. https://doi.org/10.1371/journal.pone.0184606

A Genetic Risk Score Associated with COPD Susceptibility and Lung Structure on Computed Tomography.

E. Oelsner, Victor E. Ortega, Benjamin M. Smith, et al.. (2019). American journal of respiratory and critical care medicine. Cited 24 times. https://doi.org/10.1164/rccm.201812-2355OC

Association of plasma mitochondrial DNA with COPD severity and progression in the SPIROMICS cohort

William Z. Zhang, K. Hoffman, K. Schiffer, et al.. (2021). Respiratory Research. Cited 24 times. https://doi.org/10.1186/s12931-021-01707-x

Elastin‐Specific Autoimmunity in Smokers With Thoracic Aortic Aneurysm and Dissection is Independent of Chronic Obstructive Pulmonary Disease

B. Gu, J. Choi, Ying H. Shen, et al.. (2019). Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease. Cited 23 times. https://doi.org/10.1161/JAHA.118.011671

Predicting severe chronic obstructive pulmonary disease exacerbations using quantitative CT: a retrospective model development and external validation study

M. Chaudhary, E. Hoffman, Junfeng Guo, et al.. (2023). The Lancet. Digital health. Cited 23 times. https://doi.org/10.1016/S2589-7500(22)00232-1

The influence of social support on COPD outcomes mediated by depression

Leonard Turnier, M. Eakin, H. Woo, et al.. (2021). PLoS ONE. Cited 22 times. https://doi.org/10.1371/journal.pone.0245478

Safety and Tolerability of Comprehensive Research Bronchoscopy in Chronic Obstructive Pulmonary Disease. Results from the SPIROMICS Bronchoscopy Substudy

Michael J. Wells, D. Arenberg, I. Barjaktarevic, et al.. (2019). Annals of the American Thoracic Society. Cited 21 times. https://doi.org/10.1513/AnnalsATS.201807-441OC

Clinical phenotypes of atopy and asthma in COPD: a meta-analysis of SPIROMICS and COPDGene.

N. Putcha, A. Fawzy, E. Matsui, et al.. (2020). Chest. Cited 21 times. https://doi.org/10.1016/j.chest.2020.04.069

Metabolomic Profiling Reveals Sex Specific Associations with Chronic Obstructive Pulmonary Disease and Emphysema

L. Gillenwater, K. Kechris, K. Pratte, et al.. (2021). Metabolites. Cited 20 times. https://doi.org/10.3390/metabo11030161

Understanding the impact of second-hand smoke exposure on clinical outcomes in participants with COPD in the SPIROMICS cohort

N. Putcha, R. Barr, M. Han, et al.. (2016). Thorax. Cited 19 times. https://doi.org/10.1136/thoraxjnl-2015-207487

Clinical Significance of Bronchodilator Responsiveness Evaluated by Forced Vital Capacity in COPD: SPIROMICS Cohort Analysis

I. Barjaktarevic, R. Buhr, Xiaoyan Wang, et al.. (2019). International Journal of Chronic Obstructive Pulmonary Disease. Cited 19 times. https://doi.org/10.2147/COPD.S220164

Risk of COPD exacerbation is increased by poor sleep quality and modified by social adversity.

A. Baugh, R. Buhr, P. Quibrera, et al.. (2022). Sleep. Cited 18 times. https://doi.org/10.1093/sleep/zsac107

Alveolar eosinophilia in current smokers with chronic obstructive pulmonary disease in the SPIROMICS cohort.

C. Martinez, Sara X. Li, Andrew J. Hirzel, et al.. (2018). The Journal of allergy and clinical immunology. Cited 17 times. https://doi.org/10.1016/j.jaci.2017.07.039

Significance of FEV3/FEV6 in recognition of early airway disease in smokers at risk of development of COPD: Analysis of the SPIROMICS cohort.

N. Yee, D. Markovic, R. Buhr, et al.. (2021). Chest. Cited 16 times. https://doi.org/10.1016/j.chest.2021.10.046

Latent traits of lung tissue patterns in former smokers derived by dual channel deep learning in computed tomography images

Frank Li, Jiwoong Choi, Chunrui Zou, et al.. (2021). Scientific Reports. Cited 15 times. https://doi.org/10.1038/s41598-021-84547-5

"Modeling Residential Indoor Concentrations of PM2.5 , NO2 , NOx , and secondhand smoke in the Subpopulations and Intermediate Outcome Measures in COPD (SPIROMICS) Air Study".

Marina Zusman, A. Gassett, Kipruto Kirwa, et al.. (2020). Indoor air. Cited 14 times. https://doi.org/10.1111/ina.12760

Disparities in access to food and chronic obstructive pulmonary disease (COPD)-related outcomes: a cross-sectional analysis

E. Moughames, H. Woo, P. Galiatsatos, et al.. (2021). BMC Pulmonary Medicine. Cited 14 times. https://doi.org/10.1186/s12890-021-01485-8

PLOSL: Population learning followed by one shot learning pulmonary image registration using tissue volume preserving and vesselness constraints

Di Wang, Yue Pan, O. Durumeric, et al.. (2022). Medical image analysis. Cited 14 times. https://doi.org/10.1016/j.media.2022.102434

Erratum: Structural and Functional Features on Quantitative Chest Computed Tomography in the Korean Asian versus the White American Healthy Non-Smokers

Hyun Bin Cho, K. Chae, G. Jin, et al.. (2019). Korean Journal of Radiology. Cited 13 times. https://doi.org/10.3348/kjr.2019.0912

Defining Chronic Mucus Hypersecretion Using the CAT in the SPIROMICS Cohort

M. Stott-Miller, H. Müllerová, B. Miller, et al.. (2020). International Journal of Chronic Obstructive Pulmonary Disease. Cited 13 times. https://doi.org/10.2147/COPD.S267002

Longitudinal Imaging-Based Clusters in Former Smokers of the COPD Cohort Associate with Clinical Characteristics: The SubPopulations and Intermediate Outcome Measures in COPD Study (SPIROMICS)

Chunrui Zou, Frank Li, Jiwoong Choi, et al.. (2020). International Journal of Chronic Obstructive Pulmonary Disease. Cited 13 times. https://doi.org/10.2147/COPD.S301466

Mucin Concentrations and Peripheral Airway Obstruction in Chronic Obstructive Pulmonary Disease

M. Kesimer, Benjamin M. Smith, A. Ceppe, et al.. (2018). American Journal of Respiratory and Critical Care Medicine. Cited 11 times. https://doi.org/10.1164/rccm.201806-1016LE

Heterogeneous burden of lung disease in smokers with borderline airflow obstruction

C. Pirozzi, T. Gu, P. Quibrera, et al.. (2018). Respiratory Research. Cited 11 times. https://doi.org/10.1186/s12931-018-0911-z

Comparative Impact of Depressive Symptoms and Fev1% on Chronic Obstructive Pulmonary Disease.

J. O’Toole, H. Woo, N. Putcha, et al.. (2021). Annals of the American Thoracic Society. Cited 11 times. https://doi.org/10.1513/AnnalsATS.202009-1187OC

A controlled statistical study to assess measurement variability as a function of test object position and configuration for automated surveillance in a multicenter longitudinal COPD study (SPIROMICS).

Junfeng Guo, Chao Wang, Kung-Sik Chan, et al.. (2016). Medical physics. Cited 10 times. https://doi.org/10.1118/1.4947303

Plasma Cathelicidin is Independently Associated with Reduced Lung Function in COPD: Analysis of the Subpopulations and Intermediate Outcome Measures in COPD Study Cohort.

(2020). Chronic obstructive pulmonary diseases. Cited 10 times. https://doi.org/10.15326/jcopdf.7.4.2020.0142

Current smoking with or without chronic bronchitis is independently associated with goblet cell hyperplasia in healthy smokers and COPD subjects

V. Kim, Stephanie Jeong, Huaqing Zhao, et al.. (2020). Scientific Reports. Cited 10 times. https://doi.org/10.1038/s41598-020-77229-1

Ratio of Forced Expiratory Volume in 1 second /Slow Vital Capacity (FEV1/SVC)<0.7 is associated with clinical, functional, and radiologic features of obstructive lung disease in smokers with preserved lung function.

Spyridon Fortis, A. Comellas, S. Bhatt, et al.. (2021). Chest. Cited 10 times. https://doi.org/10.1016/j.chest.2021.01.067

Racial Segregation and Respiratory Outcomes among Urban Black Residents with and at Risk of COPD.

H. Woo, E. Brigham, Kassandra Allbright, et al.. (2021). American journal of respiratory and critical care medicine. Cited 10 times. https://doi.org/10.1164/rccm.202009-3721OC

A Metabolomic Severity Score for Airflow Obstruction and Emphysema

Suneeta Godbole, W. Labaki, K. Pratte, et al.. (2022). Metabolites. Cited 10 times. https://doi.org/10.3390/metabo12050368

The matrikine acetyl-proline-glycine-proline and clinical features of COPD: findings from SPIROMICS

J. M. Wells, D. Xing, L. Viera, et al.. (2019). Respiratory Research. Cited 9 times. https://doi.org/10.1186/s12931-019-1230-8

Ambient ozone effects on respiratory outcomes among smokers modified by neighborhood poverty: An analysis of SPIROMICS AIR.

D. Belz, H. Woo, N. Putcha, et al.. (2022). The Science of the total environment. Cited 9 times. https://doi.org/10.1016/j.scitotenv.2022.154694

Reversible Airflow Obstruction Predicts Future COPD Development in the SPIROMICS Cohort.

R. Buhr, I. Barjaktarevic, P. Quibrera, et al.. (2022). American journal of respiratory and critical care medicine. Cited 9 times. https://doi.org/10.1164/rccm.202201-0094OC

Clinical implications of low absolute blood eosinophil count in the SPIROMICS COPD cohort.

W. Lemaster, P. Quibrera, D. Couper, et al.. (2022). Chest. Cited 9 times. https://doi.org/10.1016/j.chest.2022.10.029

Black carbon content in airway macrophages is associated with increased severe exacerbations and worse COPD morbidity in SPIROMICS

V. Tejwani, H. Woo, Chen Liu, et al.. (2022). Respiratory Research. Cited 9 times. https://doi.org/10.1186/s12931-022-02225-0

Bronchodilator Responsiveness in Tobacco-Exposed Persons with or without COPD.

Spyridon Fortis, P. Quibrera, A. Comellas, et al.. (2022). Chest. Cited 9 times. https://doi.org/10.1016/j.chest.2022.11.009

Defining Resilience to Smoking Related Lung Disease: A Modified Delphi Approach from SPIROMICS.

A. Oh, R. Mularski, I. Barjaktarevic, et al.. (2021). Annals of the American Thoracic Society. Cited 7 times. https://doi.org/10.1513/AnnalsATS.202006-757OC

Prolonged, Physiologically Relevant Nicotine Concentrations in the Airways of Smokers.

C. Esther, W. O’Neal, N. Alexis, et al.. (2022). American journal of physiology. Lung cellular and molecular physiology. Cited 7 times. https://doi.org/10.1152/ajplung.00038.2022

Ambient Air Pollution Exposure and Sleep Quality in COPD.

M. Sowho, A. Koch, N. Putcha, et al.. (2023). Chronic obstructive pulmonary diseases. Cited 7 times. https://doi.org/10.15326/jcopdf.2022.0350

Clinically Significant and Comorbid Anxiety and Depressive Symptoms Predict Severe Respiratory Exacerbations in Smokers: A Post-Hoc Analysis of the COPDGene and SPIROMICS Cohorts.

A. Iyer, T. Parekh, J. O’Toole, et al.. (2021). Annals of the American Thoracic Society. Cited 6 times. https://doi.org/10.1513/AnnalsATS.202103-240RL

Correcting Nonpathological Variation in Longitudinal Parametric Response Maps of CT Scans in COPD Subjects: SPIROMICS

Antonio Fernández-Baldera, C. Hatt, S. Murray, et al.. (2017). Tomography. Cited 5 times. https://doi.org/10.18383/j.tom.2017.00013

Polycythemia is Associated with Lower Incidence of Severe COPD Exacerbations in SPIROMICS Study.

A. Fawzy, H. Woo, A. Balasubramanian, et al.. (2021). Chronic obstructive pulmonary diseases. Cited 5 times. https://doi.org/10.15326/jcopdf.2021.0216

Association Between COPD Severity, Exacerbation Risk, and Anxiety and Depression Symptoms in the SPIROMICS Cohort.

Jacob R. Weiss, Ryan Serdenes, Uchechukwu Madtha, et al.. (2022). Journal of the Academy of Consultation-Liaison Psychiatry. Cited 5 times. https://doi.org/10.1016/j.jaclp.2022.07.008

Novel Respiratory Disability Score Predicts COPD Exacerbations and Mortality in the SPIROMICS Cohort

C. Cooper, R. Paine, J. Curtis, et al.. (2020). International Journal of Chronic Obstructive Pulmonary Disease. Cited 3 times. https://doi.org/10.2147/COPD.S250191

Age-Dependent Associations Between 25-Hydroxy Vitamin D Levels and COPD Symptoms: Analysis of SPIROMICS.

Robert M. Burkes, D. Couper, I. Barjaktarevic, et al.. (2021). Chronic obstructive pulmonary diseases. Cited 3 times. https://doi.org/10.15326/jcopdf.2020.0180

Effect of marijuana smoking on lung function change in older ever tobacco smokers

I. Barjaktarevic, C. Cooper, T. Shing, et al.. (2022). European Respiratory Journal. Cited 3 times. https://doi.org/10.1183/13993003.01133-2022

Robust Measures of Image-Registration-Derived Lung Biomechanics in SPIROMICS

Yue Pan, Di Wang, M. Chaudhary, et al.. (2022). Journal of Imaging. Cited 3 times. https://doi.org/10.3390/jimaging8110309

Reduced quantity and function of pneumococcal antibodies are associated with exacerbations of COPD in SPIROMICS.

D. LaFon, H. Woo, N. Fedarko, et al.. (2023). Clinical immunology. Cited 2 times. https://doi.org/10.1016/j.clim.2023.109324

Characterizing COPD Symptom Variability in the Stable State Utilizing the Evaluating Respiratory Symptoms in COPD Questionnaire.

Jamuna K. Krishnan, Kayley M. Ancy, C. Oromendia, et al.. (2022). Chronic obstructive pulmonary diseases. Cited 1 times. https://doi.org/10.15326/jcopdf.2021.0263

Association of Occupational Exposures and Chronic Obstructive Pulmonary Disease Morbidity

J. Rous, P. Lees, K. Koehler, et al.. (2023). Journal of Occupational and Environmental Medicine. Cited 1 times. https://doi.org/10.1097/JOM.0000000000002850

Increased airway iron parameters and risk for exacerbation in COPD: an analysis from SPIROMICS

William Z. Zhang, C. Oromendia, Sarah Ann Kikkers, et al.. (2020). Scientific Reports. https://doi.org/10.1038/s41598-020-67047-w

Identification of Sputum Biomarkers Predictive of Pulmonary Exacerbations in Chronic Obstructive Pulmonary Disease.

Charles R. Esther, W. O’Neal, W. Anderson, et al.. (2021). Chest. https://doi.org/10.1016/j.chest.2021.10.049