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Melzer T, Graf V, Kronseder A, Karrasch S, Kerschner M, Vogelmeier CF, Bals R, Alter P, Watz H, Fähndrich S, Behr J, Waschki B, Trudzinski FC, Jörres RA, Kahnert K. Skin Markers of Premature Ageing in Patients with COPD: Results Form COSYCONET. J Clin Med 2024; 13:6972. [PMID: 39598116 PMCID: PMC11595569 DOI: 10.3390/jcm13226972] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2024] [Revised: 11/03/2024] [Accepted: 11/15/2024] [Indexed: 11/29/2024] Open
Abstract
Background: Chronic obstructive pulmonary disease (COPD) is commonly associated with ageing, with the prevalence and severity increasing by age. Smoking-induced premature ageing is thought to contribute to COPD, particularly lung emphysema. This study aimed to explore the relationship between lung function impairment and skin texture, as a marker of biological or premature ageing, in COPD patients. Methods: A subcohort from the COSYCONET COPD-study was analyzed, where skin-relief replicas of the eye's outer corner and mid-lower inner arm were collected, along with semi-quantitative facial photographs. We examined the correlation between skin parameters and lung function, particularly the diffusing capacity (TLCO) as an indicator of emphysema. Results: Among 46 COPD patients (69 ± 8 years, 52% female), skin texture from the inner forearm, but not from the eye corner, was significantly associated with TLCO% predicted, with a higher skin roughness correlating with a lower TLCO (p = 0.015). This relationship persisted after adjusting for age, BMI, sex, pack years, and smoking status. No significant associations were found with facial photographs. Conclusions: These findings suggest that systemic ageing, reflected in inner arm skin texture, is linked to lung emphysema. Skin ageing markers may be valuable in future interventional studies involving anti-ageing treatments.
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Affiliation(s)
- Thomas Melzer
- Department of Medicine V, LMU University Hospital, LMU Munich, Comprehensive Pneumology Center, Member of the German Center for Lung Research (DZL), 80336 Munich, Germany; (V.G.); (J.B.); (K.K.)
| | - Veronika Graf
- Department of Medicine V, LMU University Hospital, LMU Munich, Comprehensive Pneumology Center, Member of the German Center for Lung Research (DZL), 80336 Munich, Germany; (V.G.); (J.B.); (K.K.)
- Max Planck Institute of Psychiatry, 80804 Munich, Germany
| | - Angelika Kronseder
- Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, Comprehensive Pneumology Center Munich (CPC-M), German Center for Lung Research (DZL), 35392 Munich, Germany; (A.K.); (S.K.); (R.A.J.)
| | - Stefan Karrasch
- Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, Comprehensive Pneumology Center Munich (CPC-M), German Center for Lung Research (DZL), 35392 Munich, Germany; (A.K.); (S.K.); (R.A.J.)
| | - Martina Kerschner
- Division of Cosmetic Science, Department of Chemistry, University of Hamburg, 20148 Hamburg, Germany;
| | - Claus F. Vogelmeier
- Department of Medicine, Pulmonary and Critical Care Medicine, University Medical Center Giessen and Marburg, Philipps-University, German Center for Lung Research (DZL), 35392 Marburg, Germany;
| | - Robert Bals
- Department of Internal Medicine V—Pulmonology, Allergology, Critical Care Care Medicine, Saarland University Hospital, 66421 Homburg, Germany;
| | - Peter Alter
- Department of Medicine, Pulmonary and Critical Care Medicine, Philipps University of Marburg (UMR), 35037 Marburg, Germany;
| | - Henrik Watz
- Pulmonary Research Institute, Lungen Clinic Grosshansdorf, 22927 Grosshansdorf, Germany;
- Airway Research Center North (ARCN), German Center for Lung Research (DZL), Woehrendamm 80, 22927 Grosshansdorf, Germany;
| | - Sebastian Fähndrich
- Department of Pneumology, University Medical Centre Freiburg, 79106 Freiburg, Germany;
| | - Jürgen Behr
- Department of Medicine V, LMU University Hospital, LMU Munich, Comprehensive Pneumology Center, Member of the German Center for Lung Research (DZL), 80336 Munich, Germany; (V.G.); (J.B.); (K.K.)
| | - Benjamin Waschki
- Airway Research Center North (ARCN), German Center for Lung Research (DZL), Woehrendamm 80, 22927 Grosshansdorf, Germany;
- Department of Pneumology, Itzehoe Hospital, 25524 Itzehoe, Germany
| | - Franziska Christina Trudzinski
- Department of Pneumology and Critical Care Medicine, Thoraxklinik, Translational Lung Research Center Heidelberg (TLRC-H), German Center for Lung Research (DZL), University of Heidelberg, 69117 Heidelberg, Germany;
| | - Rudolf A. Jörres
- Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, Comprehensive Pneumology Center Munich (CPC-M), German Center for Lung Research (DZL), 35392 Munich, Germany; (A.K.); (S.K.); (R.A.J.)
| | - Kathrin Kahnert
- Department of Medicine V, LMU University Hospital, LMU Munich, Comprehensive Pneumology Center, Member of the German Center for Lung Research (DZL), 80336 Munich, Germany; (V.G.); (J.B.); (K.K.)
- MediCenter Germering, 82110 Germering, Germany
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Wiedbrauck D, Karczewski M, Schoenberg SO, Fink C, Kayed H. Artificial Intelligence-Based Emphysema Quantification in Routine Chest Computed Tomography: Correlation With Spirometry and Visual Emphysema Grading. J Comput Assist Tomogr 2024; 48:388-393. [PMID: 38110294 DOI: 10.1097/rct.0000000000001572] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2023]
Abstract
OBJECTIVE The aim of the study is to assess the correlation between artificial intelligence (AI)-based low attenuation volume percentage (LAV%) with forced expiratory volume in the first second to forced vital capacity (FEV1/FVC) and visual emphysema grades in routine chest computed tomography (CT). Furthermore, optimal LAV% cutoff values for predicting a FEV1/FVC < 70% or moderate to more extensive visual emphysema grades were calculated. METHODS In a retrospective study of 298 consecutive patients who underwent routine chest CT and spirometry examinations, LAV% was quantified using an AI-based software with a threshold < -950 HU. The FEV1/FVC was derived from spirometry, with FEV1/FVC < 70% indicating airway obstruction. The mean time interval of CT from spirometry was 3.87 ± 4.78 days. Severity of emphysema was visually graded by an experienced chest radiologist using an established 5-grade ordinal scale (Fleischner Society classification system). Spearman correlation coefficient between LAV% and FEV1/FVC was calculated. Receiver operating characteristic determined the optimal LAV% cutoff values for predicting a FEV1/FVC < 70% or a visual emphysema grade of moderate or higher (Fleischner grade 3-5). RESULTS Significant correlation between LAV% and FEV1/FVC was found (ϱ = -0.477, P < 0.001). Increasing LAV% corresponded to higher visual emphysema grades. For patients with absent visual emphysema, mean LAV% was 2.98 ± 3.30, for patients with trace emphysema 3.22 ± 2.75, for patients with mild emphysema 3.90 ± 3.33, for patients with moderate emphysema 6.41 ± 3.46, for patients with confluent emphysema 9.02 ± 5.45, and for patients with destructive emphysema 16.90 ± 8.19. Optimal LAV% cutoff value for predicting a FEV1/FVC < 70 was 6.1 (area under the curve = 0.764, sensitivity = 0.773, specificity = 0.665), while for predicting a visual emphysema grade of moderate or higher, it was 4.7 (area under the curve = 0.802, sensitivity = 0.766, specificity = 0.742). Furthermore, correlation between visual emphysema grading and FEV1/FVC was found. In patients with FEV1/FVC < 70% a high proportion of subjects had emphysema grade 3 (moderate) or higher, whereas in patients with FEV1/FVC ≥ 70%, a larger proportion had emphysema grade 3 (moderate) or lower. The sensitivity for visual emphysema grading predicting a FEV1/FVC < 70% was 56.3% with an optimal cutoff point at a visual grade of 4 (confluent), demonstrating a lower sensitivity compared with LAV% (77.3%). CONCLUSIONS A significant correlation between AI-based LAV% and FEV1/FVC as well as visual CT emphysema grades can be found in routine chest CT suggesting that AI-based LAV% measurement might be integrated as an add-on functional parameter in the evaluation of chest CT in the future.
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Affiliation(s)
| | - Maciej Karczewski
- Department of Applied Mathematics, Wrocław University of Environmental and Life Sciences, Wroclaw, Poland
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Feng KP, Fu K, Xu C, Ding C, Zhu XY, Pan B, Jia XY, Zhao J, Li C. NSCLC patients with a changing T grade after operation may represent a special subset of tumor staging. J Cancer Res Clin Oncol 2023; 149:9991-9998. [PMID: 37258719 DOI: 10.1007/s00432-023-04925-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Accepted: 05/23/2023] [Indexed: 06/02/2023]
Abstract
BACKGROUND There is consensus that postoperative adjuvant therapy is not recommended in patients with stage 1a non-small cell lung cancer (NSCLC). Meanwhile, it is still controversial whether postoperative adjuvant chemotherapy is recommended for NSCLC patients with T2aN0M0 (stage 1b). In some patients with stage 1b NSCLC without pleural invasion, tumor diameter was measured between 3 and 4 cm by preoperative imaging and less than 3 cm by postoperative pathology specimens. TNM staging in such patients is both radiologic stage 1b and pathologic stage 1a. Thoracic surgeons are often confused about whether such patients with NSCLC will require subsequent treatment and how the survival prognosis for this group of patients will be. METHODS All data of radiographic TNM stage 1b patients who underwent radical R0 resection at the department of thoracic surgery, the First Affiliated Hospital of Soochow University between January 2013 and July 2017 were retrieved, and 208 patients were finally included in the study. Clinical data, including imaging data, pathology data, were obtained by reviewing the patients' electronic medical records. Disease-free survival (DFS) and overall survival (OS) were obtained by telephone interview. Statistical analysis was performed using SPSS (SPSS 26.0 for windows, SPSS). RESULTS A total of 208 patients were included in this study, 61 patients with T-stage migration (observation group) and 147 patients without T-stage migration (control group). There were significant statistical differences between the two groups in terms of preoperative FEV1/FVC and tumor diameter (specimens, CT and 3-dimensional measurements). Logistic regression results showed that lower FEV1/FVC and smaller CT measurements would make the patient's T stage more likely to migrate. Bland-Altman plots showed that tumor length measured by imaging was significantly higher than that measured by pathological specimens. Taking DFS as the outcome, the survival curve of the observation group was significantly better than that of the control group. Similarly, there was a significant difference in OS between the two groups. CONCLUSIONS For NSCLC patients whose preoperative imaging evaluation was stage 1b (tumor diameter more than 3 cm, no main bronchus, pleura, no atelectasis), the presence of lung tissue with smaller tumor diameter and/or higher air content may indicate that the postoperative pathological staging may be changed to stage 1a (tumor diameter less than 3 cm). These patients had better survival prognosis than those who did not undergo TNM stage change and were diagnosed with stage 1b non-small cell lung cancer before and after surgery.
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Affiliation(s)
- Kun-Peng Feng
- Department of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Medical College of Soochow University, Suzhou, 215000, China
- Institute of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Kai Fu
- Department of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Medical College of Soochow University, Suzhou, 215000, China
- Institute of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Chun Xu
- Department of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Medical College of Soochow University, Suzhou, 215000, China
- Institute of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Cheng Ding
- Department of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Medical College of Soochow University, Suzhou, 215000, China
- Institute of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Xin-Yu Zhu
- Department of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Medical College of Soochow University, Suzhou, 215000, China
- Institute of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Bin Pan
- Department of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Medical College of Soochow University, Suzhou, 215000, China
- Institute of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Xin-Yu Jia
- Department of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Medical College of Soochow University, Suzhou, 215000, China
- Institute of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Jun Zhao
- Department of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Medical College of Soochow University, Suzhou, 215000, China.
- Institute of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Suzhou, China.
| | - Chang Li
- Department of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Medical College of Soochow University, Suzhou, 215000, China.
- Institute of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Suzhou, China.
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Shaikh M, Sood RG, Sarkar M, Thakur V. Quantitative Computed Tomography (CT) Assessment of Emphysema in Patients with Severe Chronic Obstructive Pulmonary Disease (COPD) and its Correlation with Age, Sex, Pulmonary Function Tests, BMI, Smoking, and Biomass Exposure. Pol J Radiol 2017; 82:760-766. [PMID: 29657642 PMCID: PMC5894027 DOI: 10.12659/pjr.903278] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2017] [Accepted: 03/19/2017] [Indexed: 12/13/2022] Open
Abstract
Background To evaluate the role of HRCT in quantifying emphysema in severe COPD patients and to study the variations in the pattern of emphysema in relation to age, sex, FEV1, smoking index, biomass exposure, and BMI. Material/Methods Automatic lung segmentation of HRCT scans in 41 severe COPD patients (GOLD stage III or more) was done using an emphysema protocol. The extent of emphysema was assessed using the density mask method with a threshold of –950 HU (%LAA-950). The percentage of emphysema in each lung lobe and both lungs was correlated with 6 parameters – age, sex, BMI, smoking index, biomass exposure, and FEV1. Results Smoking resulted in homogenously distributed emphysema regardless of the severity of smoking. BMI was inversely correlated with the extent of emphysema. A significant association was found between the percentage of emphysema in the right lower lobe and BMI (P=0.015), between biomass exposure and the percentage of emphysema in RUL, RLL, and both lungs (P values of 0.024, 0.016, and 0.036, respectively). The extent of emphysema was disproportionately low compared to the amount of obstruction on PFTs, indicating an airway predominant variety of COPD with significant biomass exposure. Conclusions Smoking is associated with a relatively homogenous distribution of emphysema with no regional predilection. Biomass exposure produces predominantly right-sided emphysema. BMI decreases with increasing levels of emphysema in the right lower lobe. These risk factors of emphysema patterns are helpful in deciding on the management, including surgical options.
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Affiliation(s)
- Minhaj Shaikh
- Department of Radiology, Indira Gandhi Medical College, Shimla, Himachal Pradesh, India
| | - Ram Gopal Sood
- Department of Radiology, Indira Gandhi Medical College, Shimla, Himachal Pradesh, India
| | - Malay Sarkar
- Department of Pulmonary Medicine, Indira Gandhi Medical College, Shimla, Himachal Pradesh, India
| | - Vijay Thakur
- Department of Radiology, Indira Gandhi Medical College, Shimla, Himachal Pradesh, India
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5
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Boueiz A, Chang Y, Cho MH, Washko GR, San José Estépar R, Bowler RP, Crapo JD, DeMeo DL, Dy JG, Silverman EK, Castaldi PJ. Lobar Emphysema Distribution Is Associated With 5-Year Radiological Disease Progression. Chest 2017; 153:65-76. [PMID: 28943279 DOI: 10.1016/j.chest.2017.09.022] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2017] [Revised: 07/13/2017] [Accepted: 09/06/2017] [Indexed: 01/06/2023] Open
Abstract
BACKGROUND Emphysema has considerable variability in its regional distribution. Craniocaudal emphysema distribution is an important predictor of the response to lung volume reduction. However, there is little consensus regarding how to define upper lobe-predominant and lower lobe-predominant emphysema subtypes. Consequently, the clinical and genetic associations with these subtypes are poorly characterized. METHODS We sought to identify subgroups characterized by upper-lobe or lower-lobe emphysema predominance and comparable amounts of total emphysema by analyzing data from 9,210 smokers without alpha-1-antitrypsin deficiency in the Genetic Epidemiology of COPD (COPDGene) cohort. CT densitometric emphysema was measured in each lung lobe. Random forest clustering was applied to lobar emphysema variables after regressing out the effects of total emphysema. Clusters were tested for association with clinical and imaging outcomes at baseline and at 5-year follow-up. Their associations with genetic variants were also compared. RESULTS Three clusters were identified: minimal emphysema (n = 1,312), upper lobe-predominant emphysema (n = 905), and lower lobe-predominant emphysema (n = 796). Despite a similar amount of total emphysema, the lower-lobe group had more severe airflow obstruction at baseline and higher rates of metabolic syndrome compared with subjects with upper-lobe predominance. The group with upper-lobe predominance had greater 5-year progression of emphysema, gas trapping, and dyspnea. Differential associations with known COPD genetic risk variants were noted. CONCLUSIONS Subgroups of smokers defined by upper-lobe or lower-lobe emphysema predominance exhibit different functional and radiological disease progression rates, and the upper-lobe predominant subtype shows evidence of association with known COPD genetic risk variants. These subgroups may be useful in the development of personalized treatments for COPD.
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Affiliation(s)
- Adel Boueiz
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Pulmonary and Critical Care Medicine Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Yale Chang
- Department of Electrical and Computer Engineering, Northeastern University, Boston, MA
| | - Michael H Cho
- Pulmonary and Critical Care Medicine Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - George R Washko
- Pulmonary and Critical Care Medicine Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Raul San José Estépar
- Surgical Planning Laboratory, Laboratory of Mathematics in Imaging, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Russell P Bowler
- Division of Pulmonary Medicine, Department of Medicine, National Jewish Health, Denver, CO
| | - James D Crapo
- Division of Pulmonary Medicine, Department of Medicine, National Jewish Health, Denver, CO
| | - Dawn L DeMeo
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Pulmonary and Critical Care Medicine Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Jennifer G Dy
- Department of Electrical and Computer Engineering, Northeastern University, Boston, MA
| | - Edwin K Silverman
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Pulmonary and Critical Care Medicine Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Peter J Castaldi
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Division of General Medicine and Primary Care, Brigham and Women's Hospital, Harvard Medical School, Boston, MA.
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Quaderi S, Hurst JR. One-off Spirometry Is Insufficient to Rule In or Rule Out Mild to Moderate Chronic Obstructive Pulmonary Disease. Am J Respir Crit Care Med 2017; 196:254-256. [PMID: 28762783 PMCID: PMC5549871 DOI: 10.1164/rccm.201703-0551ed] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Affiliation(s)
- Shumonta Quaderi
- 1 UCL Respiratory University College London London, United Kingdom
| | - John R Hurst
- 1 UCL Respiratory University College London London, United Kingdom
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Lee HS, Lee CG, Kim DH, Song HS, Jung MS, Kim JY, Park CH, Ahn SC, Yu SD. Emphysema prevalence related air pollution caused by a cement plant. Ann Occup Environ Med 2016; 28:17. [PMID: 27057315 PMCID: PMC4823915 DOI: 10.1186/s40557-016-0101-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2015] [Accepted: 03/28/2016] [Indexed: 01/26/2023] Open
Abstract
Background To identify adverse pulmonary health effects due to air pollution derived from a cement plant in Korea. The emphysema prevalence in residents around a cement plant was compared to that in the group who live far away from the plant by chest films (PA and lateral view) and high-resolution computed tomography (HRCT) lung images. Methods From June to August in 2013 and from August to November in 2014, chest films and HRCT scan were conducted on residents over the age of 40 who lived around a cement plant. The residents were divided into two groups; a “more exposed group (MEG)” which consisted of 1,046 people who lived within a 1 km radius and a “less exposed group (LEG)” which consisted of 317 people who lived more than 5 km away from the same plant. We compared the emphysema prevalence and estimated the OR of this between the MEG and the LEG by using a chi-square and logistic regression on chest films and HRCT. Results The emphysema prevalence was 9.1 % in the LEG, 14.3 % in the MEG on chest films and 11.4 %, 17.8 % on the HRCT, respectively. The OR of the emphysema prevalence in MEG was 2.92 (95 % CI 1.77-4.83) on the chest films, 2.56 (95 % CI 1.64–3.99) on the HRCT after sex, age, body mass index (BMI), smoking history, residency period and firewood used history were adjusted. The OR in the less than 29 pack-years smoking history was 1.66 (95 % CI 0.92–3.06) and in the more than 30 pack-years was 3.05 (95 % CI 1.68–5.52) on the chest films, and was 1.68 (95 % CI 0.98–2.90), 2.93 (95 % CI 1.72–4.98) on the HRCT, respectively. Conclusion The emphysema prevalence seems to be affected by the level of exposure to air pollution derived from the cement plant as well as sex, age, BMI, and smoking history in this study. Moreover, the OR of the case of the more exposed to the air pollution was similar to that of the case in smoking.
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Affiliation(s)
- Hyun Seung Lee
- Department of Occupational & Environmental Medicine, School of Medicine, Chosun University, 558 Pilmun-daero, Dong-gu Gwangju, 61453 Korea
| | - Chul Gab Lee
- Department of Occupational & Environmental Medicine, School of Medicine, Chosun University, 558 Pilmun-daero, Dong-gu Gwangju, 61453 Korea
| | - Dong Hun Kim
- Department of Radioloy, School of Medicine, Chosun University, 558 Pilmun-daero, Dong-gu Gwangju, 61453 Korea
| | - Han Soo Song
- Department of Occupational & Environmental Medicine, School of Medicine, Chosun University, 558 Pilmun-daero, Dong-gu Gwangju, 61453 Korea
| | - Min Soo Jung
- Department of Occupational & Environmental Medicine, School of Medicine, Chosun University, 558 Pilmun-daero, Dong-gu Gwangju, 61453 Korea
| | - Jae Yoon Kim
- Department of Occupational & Environmental Medicine, School of Medicine, Chosun University, 558 Pilmun-daero, Dong-gu Gwangju, 61453 Korea
| | - Choong Hee Park
- National Institute of Environmental Research, 42 Hwangyong-ro, Seogu Incheon, 22689 Korea
| | - Seung Chul Ahn
- National Institute of Environmental Research, 42 Hwangyong-ro, Seogu Incheon, 22689 Korea
| | - Seung Do Yu
- National Institute of Environmental Research, 42 Hwangyong-ro, Seogu Incheon, 22689 Korea
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Cho MH, Castaldi PJ, Hersh CP, Hobbs BD, Barr RG, Tal-Singer R, Bakke P, Gulsvik A, San José Estépar R, Van Beek EJR, Coxson HO, Lynch DA, Washko GR, Laird NM, Crapo JD, Beaty TH, Silverman EK. A Genome-Wide Association Study of Emphysema and Airway Quantitative Imaging Phenotypes. Am J Respir Crit Care Med 2015; 192:559-69. [PMID: 26030696 PMCID: PMC4595690 DOI: 10.1164/rccm.201501-0148oc] [Citation(s) in RCA: 113] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2015] [Accepted: 05/28/2015] [Indexed: 12/20/2022] Open
Abstract
RATIONALE Chronic obstructive pulmonary disease (COPD) is defined by the presence of airflow limitation on spirometry, yet subjects with COPD can have marked differences in computed tomography imaging. These differences may be driven by genetic factors. We hypothesized that a genome-wide association study (GWAS) of quantitative imaging would identify loci not previously identified in analyses of COPD or spirometry. In addition, we sought to determine whether previously described genome-wide significant COPD and spirometric loci were associated with emphysema or airway phenotypes. OBJECTIVES To identify genetic determinants of quantitative imaging phenotypes. METHODS We performed a GWAS on two quantitative emphysema and two quantitative airway imaging phenotypes in the COPDGene (non-Hispanic white and African American), ECLIPSE (Evaluation of COPD Longitudinally to Identify Predictive Surrogate Endpoints), NETT (National Emphysema Treatment Trial), and GenKOLS (Genetics of COPD, Norway) studies and on percentage gas trapping in COPDGene. We also examined specific loci reported as genome-wide significant for spirometric phenotypes related to airflow limitation or COPD. MEASUREMENTS AND MAIN RESULTS The total sample size across all cohorts was 12,031, of whom 9,338 were from COPDGene. We identified five loci associated with emphysema-related phenotypes, one with airway-related phenotypes, and two with gas trapping. These loci included previously reported associations, including the HHIP, 15q25, and AGER loci, as well as novel associations near SERPINA10 and DLC1. All previously reported COPD and a significant number of spirometric GWAS loci were at least nominally (P < 0.05) associated with either emphysema or airway phenotypes. CONCLUSIONS Genome-wide analysis may identify novel risk factors for quantitative imaging characteristics in COPD and also identify imaging features associated with previously identified lung function loci.
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Affiliation(s)
- Michael H. Cho
- Channing Division of Network Medicine and
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, and
| | | | - Craig P. Hersh
- Channing Division of Network Medicine and
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, and
| | - Brian D. Hobbs
- Channing Division of Network Medicine and
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, and
| | - R. Graham Barr
- Department of Medicine, College of Physicians and Surgeons, and
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
| | - Ruth Tal-Singer
- GlaxoSmithKline Research and Development, King of Prussia, Pennsylvania
| | - Per Bakke
- Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Amund Gulsvik
- Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Raúl San José Estépar
- Laboratory of Mathematics in Imaging, Department of Radiology, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Edwin J. R. Van Beek
- Queens Medical Research Institute, University of Edinburgh, Edinburgh, United Kingdom
- Department of Radiology and
- Department of Biomedical Engineering, University of Iowa, Iowa City, Iowa
| | - Harvey O. Coxson
- Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada
| | - David A. Lynch
- Department of Radiology, National Jewish Health, Denver, Colorado
| | - George R. Washko
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, and
| | - Nan M. Laird
- Harvard School of Public Health, Boston, Massachusetts; and
| | - James D. Crapo
- Department of Radiology, National Jewish Health, Denver, Colorado
| | - Terri H. Beaty
- Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland
| | - Edwin K. Silverman
- Channing Division of Network Medicine and
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, and
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Pulmonary function parameters in high-resolution computed tomography phenotypes of chronic obstructive pulmonary disease. Am J Med Sci 2015; 349:228-33. [PMID: 25607515 DOI: 10.1097/maj.0000000000000395] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND Heterogeneity of clinical presentation of chronic obstructive pulmonary disease (COPD) attributes to different pathological basis. High-resolution computed tomography (HRCT) phenotypes of COPD may reflex the pathological basis of COPD indirectly by evaluating the small airway inflammation and emphysema. How the pulmonary function related with different HRCT phenotypes has not been well known. The aim was to explore the features of pulmonary function parameters in the 3 phenotypes. METHODS Sixty-three stable COPD patients were allocated in 3 groups based on HRCT findings: phenotype A (absence of emphysema, with minimal evidence of emphysema with or without bronchial wall thickening [BWT]), phenotype E (emphysema without BWT) and phenotype M (emphysema with BWT). The pulmonary function testing was also analyzed. RESULTS The values of forced expiratory volume in 1 second (FEV1)/forced vital capacity (FVC%), FEV1% and maximum expiratory flows (MEF)50% were the highest in phenotype A (P < 0.05), so was residual volume (RV)/total lung capacity (TLC%) in phenotype E (P < 0.05). Those with MEF50/MEF25 ratio >4.0 were more prevalence in phenotype A than in E and M (odds ratio = 2.214; P < 0.05). The occurrences of RV/TLC% >40% were higher in phenotype E than in A and M (odds ratio = 3.906; P < 0.05). Receiver operating characteristic analysis showed that the cutoff value of MEF50/MEF25 ratio for identifying phenotype A was 2.5, with sensitivity 66.7% and specificity 92.9%. The cutoff value of RV/TLC% for identifying phenotype E was 57.4%, with sensitivity 75.0% and specificity 79.1%. CONCLUSIONS The different features of pulmonary function parameters were found in various HRCT phenotypes; MEF50/MEF25 ratio could imply phenotype A, whereas RV/TLC% may be the indicator of phenotype E.
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Toljamo T, Hamari A, Sotkasiira M, Nieminen P. Clinical characteristics of COPD syndrome: A 6-year follow-up study of adult smokers. Ann Med 2015; 47:399-405. [PMID: 26178878 DOI: 10.3109/07853890.2015.1045551] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND There is little quantitative information about the development of chronic obstructive pulmonary disease (COPD) among adult smokers and of what happens to patients who have already developed COPD. OBJECTIVES To examine the development and performance of COPD status over time, and the clinical characteristics of new COPD cases according to the Global Initiative for Chronic Obstructive Lung Disease (GOLD) 2007 and 2011 classifications. METHODS Healthy asymptomatic smokers were recruited through newspaper announcements. They filled in questionnaires and had an individualized assessment of their health history during all three visits (visit 1, visit 2 after three years, visit 3 after six years). RESULTS Of the eligible 621 heavy smokers, 572 attended visit 2. A total of 513 subjects completed the 6-year follow-up examination. According to GOLD 2007, COPD was present in 22.8% (n = 117) of these smokers. The severity of COPD changed during the years of follow-up. Furthermore, health status and prevalence of chronic respiratory symptoms both in the smokers with normal lung function and in the COPD groups varied over the time period. CONCLUSIONS GOLD 2011 recognized the complex patient subgroups better than GOLD 2007. Variability in chronic symptoms or in health status correlated poorly with the severity of airway limitation.
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Affiliation(s)
- Tuula Toljamo
- a Department of Pulmonary Medicine , Lapland Central Hospital , Rovaniemi , Finland
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Maldonado F, Bartholmai BJ, Swensen SJ, Midthun DE, Decker PA, Jett JR. Are airflow obstruction and radiographic evidence of emphysema risk factors for lung cancer? A nested case-control study using quantitative emphysema analysis. Chest 2010; 138:1295-302. [PMID: 20348193 DOI: 10.1378/chest.09-2567] [Citation(s) in RCA: 77] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
OBJECTIVES Several studies have identified airflow obstruction as a risk factor for lung cancer independent of smoking history, but the risk associated with the presence of radiographic evidence of emphysema has not been extensively studied. We proposed to assess this risk using a quantitative volumetric CT scan analysis. METHODS Sixty-four cases of lung cancer were identified from a prospective cohort of 1,520 participants enrolled in a spiral CT scan lung cancer screening trial. Each case was matched to six control subjects for age, sex, and smoking history. Quantitative CT scan analysis of emphysema was performed. Spirometric measures were also conducted. Data were analyzed using conditional logistic regression making use of the 1:6 set groups of 64 cases and 377 matched control subjects. RESULTS Decreased FEV(1) and FEV(1)/FVC were significantly associated with a diagnosis of lung cancer with ORs of 1.15 (95% CI, 1.00-1.32; P = .046) and 1.29 (95% CI, 1.02-1.62; P = .031), respectively. The quantity of radiographic evidence of emphysema was not found to be a significant risk for lung cancer with OR of 1.042 (95% CI, 0.816-1.329; P = .743). Additionally, there was no significant association between severe emphysema and lung cancer with OR of 1.57 (95% CI, 0.73-3.37). CONCLUSIONS We confirm previous observations that airflow obstruction is an independent risk factor for lung cancer. The absence of a clear relationship between radiographic evidence of emphysema and lung cancer using an automated quantitative volumetric analysis may result from different population characteristics than those of prior studies, radiographic evidence of emphysema quantitation methodology, or absence of any relationship between emphysema and lung cancer risk.
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Affiliation(s)
- Fabien Maldonado
- Division of Pulmonary and Critical Care Medicine, Rochester, MN 55905, USA.
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Toljamo T, Kaukonen M, Nieminen P, Kinnula VL. Early detection of COPD combined with individualized counselling for smoking cessation: a two-year prospective study. Scand J Prim Health Care 2010; 28:41-6. [PMID: 20331388 PMCID: PMC3440614 DOI: 10.3109/02813431003630105] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVE Though the prevalence of COPD is related to the definition, even with this proviso COPD remains under-diagnosed. Screening can detect many new COPD cases, but its effects on smoking cessation remain unknown. DESIGN To evaluate symptoms in "healthy" cigarette smokers, to screen new COPD cases using international and national guidelines, and to assess the success of a smoking cessation. SUBJECTS Healthy asymptomatic smokers with a >20 pack-years smoking history were recruited. The first visit included a standardized personal interview, Fagerstom nicotine dependence test (FNDT) and individualized smoking counselling by Motivational Interviewing. At the follow-up visit two years later, the same analyses were repeated and smoking status assessed. To avoid bias in the counselling attributable to spirometry, the test was evaluated at the two-year follow-up assessment. RESULTS Almost all, 93.2%, of 584 participants attended the second visit. Spirometry revealed COPD by GOLD criteria in 11.0% and by national guidelines in 15.3%, mid-expiratory flow (MEF50) had significantly declined in 19.5%, chronic cough or sputum production was detected in 62% of the subjects. After two years, 23.3% had succeeded in giving up smoking. There were four predictors of successful quitting, i.e. positive attitude to the intervention, pharmacotherapy, older age, and higher BMI, whereas other factors such as cough, obstruction, gender, pack-years, or nicotine dependence showed no association with ability to achieve successful cessation. CONCLUSION Significant numbers of "healthy" smokers experience symptoms, according to detailed questionnaires, and have COPD. Motivation is the most significant factor in determining the chance of stopping smoking.
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Affiliation(s)
- Tuula Toljamo
- Department of Medicine, Division of Pulmonary Medicine, Lapland Central Hospital, Rovaniemi
| | - Marjo Kaukonen
- Department of Medicine, Division of Pulmonary Medicine, Lapland Central Hospital, Rovaniemi
| | | | - Vuokko L. Kinnula
- Department of Medicine, Pulmonary Division Helsinki University Central Hospital, Helsinki, Finland
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Altiner A, Wilm S, Däubener W, Bormann C, Pentzek M, Abholz HH, Scherer M. Sputum colour for diagnosis of a bacterial infection in patients with acute cough. Scand J Prim Health Care 2009; 27:70-3. [PMID: 19242860 PMCID: PMC3410464 DOI: 10.1080/02813430902759663] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/21/2022] Open
Abstract
OBJECTIVE Sputum colour plays an important role in the disease concepts for acute cough, both in the patients' and the doctors' view. However, it is unclear whether the sputum colour can be used for diagnosis of a bacterial infection. DESIGN Cross-sectional study. SETTING A total of 42 GP practices in Dusseldorf, Germany. SUBJECTS Sputum samples obtained from 241 patients suffering from an episode of acute cough seeing their doctor within a routine consultation. MAIN OUTCOME MEASURES Relation of sputum colour and microbiological proof of bacterial infection defined as positive culture and at least a moderate number of leucocytes per low magnification field. RESULTS In 28 samples (12%) a bacterial infection was proven. Yellowish or greenish colour of the sputum sample and bacterial infection showed a significant correlation (p = 0.014, Fisher's exact test). The sensitivity of yellowish or greenish sputum used as a test for a bacterial infection was 0.79 (95% CI 0.63-0.94); the specificity was 0.46 (95% CI 0.038-0.53). The positive likelihood-ratio (+LR) was 1.46 (95% CI 1.17-1.85). CONCLUSIONS The sputum colour of patients with acute cough and no underlying chronic lung disease does not imply therapeutic consequences such as prescription of antibiotics.
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Affiliation(s)
- Attila Altiner
- Department of General Practice, University Hospital, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany.
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