Prevalence of abnormal spirometry in individuals with a smoking history and no known obstructive lung disease

Tran, Thuonghien V.; Baldomero, Arianne K.; Curtis, Jeffrey L.; Fortis, Spyridon; Crapo, James D.; Beaty, Terri H.; Castaldi, Peter J.; Cho, Michael H.; Boueiz, Adel El; Foreman, Marilyn G.; Ghosh, Auyon; Hayden, Lystra P.; Hetmanski, Jacqueline B.; Hobbs, Brian D.; Kim, Wonji; Laird, Nan M.; Lange, Christoph; McDonald, Merry-Lynn; Prokopenko, Dmitry; Moll, Matthew; Morrow, Jarrett; Qiao, Dandi; Saferali, Aabida; Sakornsakolpat, Phuwanat; Silverman, Edwin K.; Wan, Emily S.; Yun, Jeong H.; Centeno, Juan Pablo; Charbonnier, Jean-Paul; Coxson, Harvey O.; Hoffman, Eric A.; Humphries, Stephen; Judy, Philip F.; Kluiber, Alex; Nardelli, Pietro; Newell, John D.; Notary, Aleena; Oh, Andrea; Ross, James C.; Estépar, Raúl San Jośe; Schroeder, Joyce; Sieren, Jered; Stoel, Berend C.; Tschirren, Juerg; Beek, Edwin van; Ginneken, Bram van; Rikxoort, Eva M. van; Ferrero, Gonzalo Vegas Sanchez; Veitel, Lucas; Jensen, Robert L.; Everett, Douglas; Crooks, Jim; Pratte, Katherine; Strand, Matt; Hokanson, John E.; Austin, Erin; Kinney, Gregory L.; Lutz, Sharon M.; Young, Kendra A.; Díaz, Alejandro A.; Make, Barry J.; Murray, Susan; Regan, Elizabeth A.; Wilson, Carla; Kechris, Katerina; Banaei-Kashani, Farnoush; Curtis, Jeffrey L.; Pernicano, Perry G.; Hanania, Nicola A.; Atik, Mustafa A.; Boriek, Aladin M.; Guntupalli, Kalpatha; Guy, Elizabeth; Parulekar, Amit; DeMeo, Dawn L.; Hersh, Craig P.; Jacobson, Francine L.; Washko, George R.; Barr, R. Graham; Austin, John; D’Souza, Belinda; Thomashow, Byron; MacIntyre, Neil R.; McAdams, H. Page; Washington, Lacey; McEvoy, Charlene; Tashjian, Joseph H.; Wise, Robert A.; Brown, Robert; Hansel, Nadia N.; Horton, Karen M.; Lambert, Allison; Putcha, Nirupama; Casaburi, Richard; Adami, Alessandra; Budoff, Matthew J.; Fischer, Hans; Pórszász, János; Rossiter, Harry B.; Stringer, William W.; Sharafkhaneh, Amir; Lan, Charlie; Wendt, Christine; Bell, Brian; Kunisaki, Ken M.; Flenaugh, Eric; Gebrekristos, Hirut T.; Castro, Mario; Terpenning, Silanath; Westney, Gloria; Bowler, Russell P.; Lynch, David A.; Rosiello, Richard; Pace, David; Criner, Gerard J.; Ciccolella, David; Cordova, Francis; Dass, Chandra; D’Alonzo, Gilbert E.; Desai, Parag; Jacobs, Michael E.; Kelsen, Steven; Kim, Victor; Mamary, A. James; Marchetti, Nathaniel; Satti, Aditi; Shenoy, Kartik; Steiner, Robert M.; Swift, Alex; Swift, Irene; Vega-Sanchez, Maria Elena; Dransfield, Mark; Bailey, William C.; Bhatt, Surya P.; Iyer, Anand S; Nath, Hrudaya; Wells, James M.; Conrad, Douglas; Soler, Xavier; Yen, Andrew; Comellas, A.P.; Hoth, Karin F.; Thompson, Brad; Han, MeiLan K.; Kazerooni, Ella A.; Labaki, Wassim W.; Galbán, Craig J.; Vummidi, Dharshan; Billings, Joanne; Begnaud, Abbie; Allen, Tadashi; Sciurba, Frank C.; Bon, Jessica; Chandra, Divay; Weissfeld, Joel L.; Anzueto, Antonio; Adams, Sandra G.; Maselli‐Caceres, Diego; Ruiz, Mario E.; Singh, Harjinder

doi:10.1016/j.rmed.2023.107126

Cited by 6 publications

(3 citation statements)

References 26 publications

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“…In a study of individuals with a smoking history and no known obstructive lung disease, 21% had undiagnosed airflow obstruction; moreover, within a 5-year follow-up period, Modified Medical Research Council score ≥2, chronic productive cough, worsening respiratory symptoms during the follow-up period, and abnormal spirometry were found to be risk factors for subsequent COPD development. 14 We could not conduct a detailed survey in an undiagnosed population; moreover, the available data were limited by the use of a database derived from the health insurance association. Although it is difficult to compared the previous findings with the present findings, we believe that identifying individuals at risk as indicated in previous studies may facilitate prompt COPD diagnosis.…”

Section: Discussionmentioning

confidence: 99%

Underdiagnosis of COPD: The Japan COPD Real-World Data Epidemiological (CORE) Study

Koga,

Deguchi,

Matsuo

et al. 2024

COPD

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The prevalence of airflow obstruction in Japan is 3.8%-16.9%. This epidemiological study based on a large database aimed to reassess the prevalence of airflow obstruction in Japan and the diagnosis rate of chronic obstructive pulmonary disease (COPD). Patients and Methods:We used data regarding claims from the health insurance union and health checkups provided by JMDC. The present study included a subgroup of individuals aged ≥40 years who underwent health checkups involving spirometry between January and December 2019. The study endpoints were the prevalence of airflow obstruction, COPD diagnosis rate, disease stage, and respiratory function test results. Results: Among 102,190 participants, 4113 (4.0%) had airflow obstruction. The prevalence of airflow obstruction was 5.3% in men and 2.1% in women. Among the study population, 6.8% were current smokers, while 3.4% were never or former smokers. Additionally, the prevalence of COPD increased with age. Approximately 8.4% of participants with airflow obstruction were diagnosed with COPD. Regarding the COPD diagnosis status, participants with airflow obstruction who were diagnosed with COPD were at a more advanced stage than those not diagnosed. Finally, patients diagnosed with COPD had significantly lower FEV 1 /FVC and FEV 1 (p < 0.0001; Wilcoxon rank sum test). Conclusion:The epidemiological study based on a large database determined the COPD diagnosis rate related to airflow obstruction. The COPD diagnosis rate was extremely low among individuals who underwent health checkups, indicating the need for increased awareness about this medical condition. Moreover, primary care physicians should identify patients with suspected COPD and collaborate with pulmonologists to facilitate the early detection of COPD and enhance the COPD diagnosis rate.

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Section: Discussionmentioning

confidence: 99%

Underdiagnosis of COPD: The Japan COPD Real-World Data Epidemiological (CORE) Study

Koga,

Deguchi,

Matsuo

et al. 2024

COPD

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“…Although there was no difference in PR uptake, this percentage highlights the importance of underdiagnosis in COPD. Among 5055 smokers in the COPD Gene cohort, Tran et al 29 showed that 1064 (21.0%) patients without diagnosed COPD had airflow obstruction. In a cohort of 95,288 patients in Denmark, 30 32,518 (34%) were considered at risk for COPD (age ≥ 40 years with estimated smoking history of ≥ 10 pack-years).…”

Section: Discussionmentioning

confidence: 99%

Insufficient Pulmonary Rehabilitation Uptake After Severe Exacerbation of COPD: A Multicentre Study in the South West Region of France

Gueçamburu,

Verdy,

Cuadros

et al. 2024

COPD

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“…[6-8] Recent evidence suggests an extremely high prevalence of undiagnosed COPD, and even if COPD cannot be con rmed based on pulmonary function results, this population has already shown a decline in lung function, and PRISm is one of the subtypes, which is at risk of worsening disease and delayed treatment. [9] Moreover, PRISm is considered as a subtype that owns higher risk of progression to COPD. [10] Kanetake R et al 's study showed that PRISm was an independent risk factor for the development of COPD in the Japanese population (OR 3.75, p < 0.001).…”

Section: Introductionmentioning

confidence: 99%

Nomogram model to predict progression from Preserved Ratio Impaired Spirometry to Chronic Obstructive Pulmonary Disease in inpatient people: Development and validation of a novel model

Wu,

Wang,

Gan

et al. 2024

Preprint

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Background Preserved Ratio Impaired Spirometry (PRISm) is a specific subtype of pre-chronic obstructive pulmonary disease (pre-COPD), defined as FEV1/FVC ≥ 70% and FEV1<80% pred by pulmonary function test (PFT). People with PRISm are at risk of progression to chronic obstructive pulmonary disease (COPD). We developed a model to predict progression in subjects with PRISm. Methods We screened out 188 patients whose lung function transitioned from PRISm to COPD, 173 patients with PRISm who underwent at least two lung function tests and remained unchanged for two years in West China hospital. A total of 283 patients were finally included and they were randomly divided into training and validation groups at a 8:2 ratio. Logistic regression was used to create the model, which eventually emerges as a nomogram. Results A total of 283 patients were enrolled, 134 patients (47.35%) were eventually diagnosed with COPD. The training cohort included 227 patients and the validation cohort included 56 patients. Through baseline feature comparison and logistic regression, we finally identified seven meaningful variables, including age, body mass index (BMI), FEV1 pred, FEV1/FVC, family history of respiratory disease, respiratory complications and immune related diseases. Accordingly, one nomogram was developed. The areas under the receiver operating characteristic (ROC) curves of this model were 0.89 and 0.86 in the training and validation cohorts, respectively. The model is well calibrated and decision curve analysis (DCA), clinical impact curve (CIC) demonstrated that the predictive model was clinically meaningful. Conclusion We developed China’s first prediction model for the progression of lung function from PRISm to COPD in a real-world inpatient population. This model is conducive to early identification of high-risk groups of pulmonary function deterioration, so as to provide timely intervention and delay the occurrence and progression of the disease.

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Prevalence of abnormal spirometry in individuals with a smoking history and no known obstructive lung disease

Cited by 6 publications

References 26 publications

Underdiagnosis of COPD: The Japan COPD Real-World Data Epidemiological (CORE) Study

Underdiagnosis of COPD: The Japan COPD Real-World Data Epidemiological (CORE) Study

Insufficient Pulmonary Rehabilitation Uptake After Severe Exacerbation of COPD: A Multicentre Study in the South West Region of France

Nomogram model to predict progression from Preserved Ratio Impaired Spirometry to Chronic Obstructive Pulmonary Disease in inpatient people: Development and validation of a novel model

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