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Maeda W, Saif-Ur-Rahman KM, Muraya T, Hirakawa Y. Consideration points in the decision making in chronic respiratory diseases. J Rural Med 2024; 19:158-165. [PMID: 38975035 PMCID: PMC11222620 DOI: 10.2185/jrm.2023-044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2024] [Accepted: 03/27/2024] [Indexed: 07/09/2024] Open
Abstract
Objective: Even though dynamic multidisciplinary team discussions are crucial for end-of-life care management and decisions concerning chronic obstructive pulmonary disease (COPD), the details of the discussion contents remain poorly understood. This study aimed to identify essential considerations in decision-making for patients with chronic respiratory diseases to enhance a consensus-based approach. Materials and Methods: A qualitative content analysis of focus group conversations on published clinical case reports in the Japanese community about end-of-life care for patients with chronic respiratory disorders was conducted. The cases were searched through Igaku Chuo Zasshi (ICHUSHI) and Google in February 2021, using the keywords: "COPD", "chronic respiratory diseases", and "end-of-life care". A total of 41 healthcare professionals participated in the focus group discussions. Results: Four major themes evolved from the qualitative content analysis: unpredictable disease prognosis and stages, low awareness of patients on disease severity, acute exacerbations, and home oxygen therapy (HOT). The participants perceived that assessment of severity and prognosis in chronic respiratory diseases such as COPD was a core discussion point to enhance patients' decision-making. The study's findings also indicated that healthcare providers evaluate the influence of acute aggravation of the condition on patients' perceived health status and decision-making. Conclusion: The study reaffirms the significance of informed consent in patients with chronic respiratory disease. It details how, after a thorough assessment of disease severity, patients are given personalized explanations of standardized HOT. This approach ensures they fully understand the unpredictable nature and various stages of their condition resulting from acute exacerbations.
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Affiliation(s)
- Wakae Maeda
- Department of Healthcare Quality and Patient Safety, Nagoya University Graduate School of Medicine, Japan
| | - K M Saif-Ur-Rahman
- College of Medicine, Nursing and Health Sciences, University of Galway, Ireland
- Evidence Synthesis Ireland and Cochrane Ireland, University of Galway, Ireland
| | - Tsukasa Muraya
- Faculty of Contemporary Social Studies, Chikushi Jogakuen University, Japan
| | - Yoshihisa Hirakawa
- Department of Health Research and Innovation, Aichi Comprehensive Health Science Center, Japan
- Department of Public Health and Health Systems, Graduate School of Medicine, Nagoya University, Japan
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2
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Zhu Z, Zhao S, Li J, Wang Y, Xu L, Jia Y, Li Z, Li W, Chen G, Wu X. Development and application of a deep learning-based comprehensive early diagnostic model for chronic obstructive pulmonary disease. Respir Res 2024; 25:167. [PMID: 38637823 PMCID: PMC11027407 DOI: 10.1186/s12931-024-02793-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 03/28/2024] [Indexed: 04/20/2024] Open
Abstract
BACKGROUND Chronic obstructive pulmonary disease (COPD) is a frequently diagnosed yet treatable condition, provided it is identified early and managed effectively. This study aims to develop an advanced COPD diagnostic model by integrating deep learning and radiomics features. METHODS We utilized a dataset comprising CT images from 2,983 participants, of which 2,317 participants also provided epidemiological data through questionnaires. Deep learning features were extracted using a Variational Autoencoder, and radiomics features were obtained using the PyRadiomics package. Multi-Layer Perceptrons were used to construct models based on deep learning and radiomics features independently, as well as a fusion model integrating both. Subsequently, epidemiological questionnaire data were incorporated to establish a more comprehensive model. The diagnostic performance of standalone models, the fusion model and the comprehensive model was evaluated and compared using metrics including accuracy, precision, recall, F1-score, Brier score, receiver operating characteristic curves, and area under the curve (AUC). RESULTS The fusion model exhibited outstanding performance with an AUC of 0.952, surpassing the standalone models based solely on deep learning features (AUC = 0.844) or radiomics features (AUC = 0.944). Notably, the comprehensive model, incorporating deep learning features, radiomics features, and questionnaire variables demonstrated the highest diagnostic performance among all models, yielding an AUC of 0.971. CONCLUSION We developed and implemented a data fusion strategy to construct a state-of-the-art COPD diagnostic model integrating deep learning features, radiomics features, and questionnaire variables. Our data fusion strategy proved effective, and the model can be easily deployed in clinical settings. TRIAL REGISTRATION Not applicable. This study is NOT a clinical trial, it does not report the results of a health care intervention on human participants.
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Affiliation(s)
- Zecheng Zhu
- Center of Clinical Big Data and Analytics of The Second Affiliated Hospital and Department of Big Data in Health Science School of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Shunjin Zhao
- Department of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Zhejiang University School of Medicine, Lanxi Branch (Lanxi People's Hospital), Hangzhou, Zhejiang, China
| | - Jiahui Li
- Center of Clinical Big Data and Analytics of The Second Affiliated Hospital and Department of Big Data in Health Science School of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Yuting Wang
- Center of Clinical Big Data and Analytics of The Second Affiliated Hospital and Department of Big Data in Health Science School of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Luopiao Xu
- Center of Clinical Big Data and Analytics of The Second Affiliated Hospital and Department of Big Data in Health Science School of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Yubing Jia
- Center of Clinical Big Data and Analytics of The Second Affiliated Hospital and Department of Big Data in Health Science School of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Zihan Li
- Center of Clinical Big Data and Analytics of The Second Affiliated Hospital and Department of Big Data in Health Science School of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Wenyuan Li
- Center of Clinical Big Data and Analytics of The Second Affiliated Hospital and Department of Big Data in Health Science School of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Gang Chen
- College of Computer Science and Technology, Zhejiang University, Hangzhou, Zhejiang, China.
| | - Xifeng Wu
- Center of Clinical Big Data and Analytics of The Second Affiliated Hospital and Department of Big Data in Health Science School of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
- National Institute for Data Science in Health and Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
- The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Hangzhou, Zhejiang, China.
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3
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Lv R, Xie M, Jin H, Shu P, Ouyang M, Wang Y, Yao D, Yang L, Huang X, Wang Y. A Preliminary Study on the Relationship Between High-Resolution Computed Tomography and Pulmonary Function in People at Risk of Developing Chronic Obstructive Pulmonary Disease. Front Med (Lausanne) 2022; 9:855640. [PMID: 35602478 PMCID: PMC9115858 DOI: 10.3389/fmed.2022.855640] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2022] [Accepted: 03/30/2022] [Indexed: 11/18/2022] Open
Abstract
Objectives Patients with chronic obstructive pulmonary disease (COPD) have high morbidity and mortality, the opportunity to carry out a thoracic high-resolution CT (HRCT) scan may increase the possibility to identify the group at risk of disease. The aim of our study was to explore the differences in HRCT emphysema parameters, air trapping parameters, and lung density parameters between high and low-risk patients of COPD and evaluate their correlation with pulmonary function parameters. Methods In this retrospective, single-center cohort study, we enrolled outpatients from the Physical Examination Center and Respiratory Medicine of The First Affiliated Hospital of Wenzhou Medical University. The patients who were ≥ 40 years-old, had chronic cough or sputum production, and/or had exposure to risk factors for the disease and had not reached the diagnostic criteria is considered people at risk of COPD. They were divided into low-risk group and high-risk group according to FEV1/FVC ≥ 80% and 80%>FEV1/FVC ≥ 70%. Data on clinical characteristics, clinical symptom score, pulmonary function, and HRCT were recorded. Results 72 COPD high-risk patients and 86 COPD low-risk patients were enrolled in the study, and the air trapping index of left, right, and bilateral lungs of the high-risk group were higher than those of the low-risk group. However, the result of mean expiratory lung density was opposite. The emphysema index of left, right, and bilateral lungs were negatively correlated with FEV1/FVC (correlation coefficients were -0.33, -0.22, -0.26). Consistently, the air trapping index of left and right lungs and bilateral lungs were negatively correlated with FEV1/FVC (correlation coefficients were -0.33, -0.23, -0.28). Additionally, the mean expiratory lung density of left and right lungs and bilateral lungs were positively correlated with FEV1/FVC (correlation coefficients were 0.31, 0.25, 0.29). Conclusion The emphysema index, air trapping index and the mean expiratory lung density shows significantly positive correlation with FEV1/FVC which can be used to assess the pulmonary function status of people at risk of COPD and provide a useful supplement for the early and comprehensive assessment of the disease.
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Affiliation(s)
- Rui Lv
- Key Laboratory of Respiratory Circulation, Division of Pulmonary Medicine, The First Affiliated Hospital, Wenzhou Medical University, Wenzhou, China.,Department of Intensive Care Unit, Ningbo First Hospital, Ningbo, China
| | - Mengyao Xie
- Key Laboratory of Respiratory Circulation, Division of Pulmonary Medicine, The First Affiliated Hospital, Wenzhou Medical University, Wenzhou, China
| | - Huaqian Jin
- Key Laboratory of Respiratory Circulation, Division of Pulmonary Medicine, The First Affiliated Hospital, Wenzhou Medical University, Wenzhou, China
| | - Pingping Shu
- Key Laboratory of Respiratory Circulation, Division of Pulmonary Medicine, The First Affiliated Hospital, Wenzhou Medical University, Wenzhou, China
| | - Mingli Ouyang
- Key Laboratory of Respiratory Circulation, Division of Pulmonary Medicine, The First Affiliated Hospital, Wenzhou Medical University, Wenzhou, China
| | - Yanmao Wang
- Key Laboratory of Respiratory Circulation, Division of Pulmonary Medicine, The First Affiliated Hospital, Wenzhou Medical University, Wenzhou, China
| | - Dan Yao
- Key Laboratory of Respiratory Circulation, Division of Pulmonary Medicine, The First Affiliated Hospital, Wenzhou Medical University, Wenzhou, China
| | - Lehe Yang
- Key Laboratory of Respiratory Circulation, Division of Pulmonary Medicine, The First Affiliated Hospital, Wenzhou Medical University, Wenzhou, China
| | - Xiaoying Huang
- Key Laboratory of Respiratory Circulation, Division of Pulmonary Medicine, The First Affiliated Hospital, Wenzhou Medical University, Wenzhou, China
| | - Yiran Wang
- Key Laboratory of Respiratory Circulation, Division of Pulmonary Medicine, The First Affiliated Hospital, Wenzhou Medical University, Wenzhou, China
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4
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van Riel SE, Klipstein-Grobusch K, Barth RE, Grobbee DE, Feldman C, Shaddock E, Stacey SL, Venter WDF, Vos AG. Predictors of impaired pulmonary function in people living with HIV in an urban African setting. South Afr J HIV Med 2021; 22:1252. [PMID: 34522426 PMCID: PMC8424741 DOI: 10.4102/sajhivmed.v22i1.1252] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Accepted: 06/06/2021] [Indexed: 12/04/2022] Open
Abstract
Background Studies have associated HIV with an increased risk of obstructive lung disease (OLD). Objectives We aimed to identify the predictive factors for impaired lung function in an urban, African, HIV-positive population. Method A cross-sectional study was performed in Johannesburg, South Africa, from July 2016 to November 2017. A questionnaire was administered and pre- and post-bronchodilator spirometry conducted. The predictors investigated included age, sex, antiretroviral treatment (ART) duration, body mass index, history of tuberculosis (TB) or pneumonia, occupational exposure, environmental exposure, smoking and symptoms of OLD (cough, wheeze, mucus and dyspnoea). Impaired lung function was defined as a forced expiratory volume in 1 second/forced vital capacity (FEV1/FVC) ratio of < 0.70, or below the 20th percentile of normal. Results The 98 ART-naïve participants (mean age = 34.0, standard deviation [s.d.] = 8.2), 85 participants on first-line ART (mean age = 36.9, s.d. = 6.6) and 189 participants on second-line ART (mean age = 43.5, s.d. = 7.9) were predominantly female (65.6%). Of the participants, 64 (17.2%) had impaired lung function and 308 had normal lung function. Linear regression identified age (β = –0.003, P < 0.01), male sex (β = –0.016, P = 0.03) and history of TB or pneumonia (β = –0.024, P < 0.01) as independent predictors of a lower FEV1/FVC ratio. Following logistic regression, only a history of TB or pneumonia (odds ratio = 2.58, 95% confidence interval = 1.47–4.52) was significantly related to impaired lung function (area under the receiver operating characteristic curve = 0.64). Conclusion Our data show that a history of TB or pneumonia predicts impaired lung function. In order to improve timely access to spirometry, clinicians should be alert to the possibility of impaired lung function in people with a history of TB or pneumonia.
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Affiliation(s)
- Sarah E van Riel
- Julius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Kerstin Klipstein-Grobusch
- Julius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.,Division of Epidemiology and Biostatistics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Roos E Barth
- Department of Internal Medicine and Infectious Diseases, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Diederick E Grobbee
- Julius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Charles Feldman
- Department of Internal Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Erica Shaddock
- Department of Internal Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.,Division of Pulmonology, Department of Internal Medicine, Charlotte Maxeke Johannesburg Academic Hospital, Johannesburg, South Africa
| | - Sarah L Stacey
- Department of Internal Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.,Department of Infectious Diseases, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Willem D F Venter
- Ezintsha, Wits Reproductive Health and HIV Institute, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Alinda G Vos
- Julius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.,Ezintsha, Wits Reproductive Health and HIV Institute, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
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5
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Lu HH, Zeng HH, Chen Y. Early chronic obstructive pulmonary disease: A new perspective. Chronic Dis Transl Med 2021; 7:79-87. [PMID: 34136767 PMCID: PMC8180470 DOI: 10.1016/j.cdtm.2021.02.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2020] [Indexed: 01/10/2023] Open
Abstract
Chronic obstructive pulmonary disease (COPD) is a respiratory disease with a high incidence, mortality, and disability rate. Because there are few symptoms in the early stages of COPD, diagnosis and treatment are seriously insufficient. It is necessary to find effective clues for early COPD diagnosis and provide appropriate interventions. Several studies suggest that small airway disease is the earliest stage of COPD because it is correlated with subsequent development of airflow obstruction. However, there are currently no globally accepted criteria for defining early COPD. This study mainly introduced risk factors, definition, diagnosis, and treatment of early COPD from a new perspective.
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Affiliation(s)
- Huan-Huan Lu
- Department of Respiratory and Critical Care Medicine, Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China
- Research Unit of Respiratory Disease, Central South University, Changsha, Hunan 410011, China
- Diagnosis and Treatment Center of Respiratory Disease, Central South University, Changsha, Hunan 410011, China
| | - Hui-Hui Zeng
- Department of Respiratory and Critical Care Medicine, Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China
- Research Unit of Respiratory Disease, Central South University, Changsha, Hunan 410011, China
- Diagnosis and Treatment Center of Respiratory Disease, Central South University, Changsha, Hunan 410011, China
| | - Yan Chen
- Department of Respiratory and Critical Care Medicine, Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China
- Research Unit of Respiratory Disease, Central South University, Changsha, Hunan 410011, China
- Diagnosis and Treatment Center of Respiratory Disease, Central South University, Changsha, Hunan 410011, China
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6
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Cost-effectiveness analysis of COPD screening programs in primary care for high-risk patients in China. NPJ Prim Care Respir Med 2021; 31:28. [PMID: 34016999 PMCID: PMC8137942 DOI: 10.1038/s41533-021-00233-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2019] [Accepted: 03/29/2021] [Indexed: 11/15/2022] Open
Abstract
We built a decision-analytic model to compare the cost-effectiveness of using portable spirometer and questionnaire to screen chronic obstructive pulmonary diseases (COPD) with no screening (i.e. usual care) among chronic bronchitis patient in China. A lifetime horizon and a payer perspective were adopted. Cost data of health services including spirometry screening and treatment costs covered both maintenance and exacerbation. The result indicated that portable spirometer screening was cost-saving compared with questionnaire screening and no screening, with an incremental cost-effectiveness ratio (ICER) of −5026 and −1766 per QALY, respectively. Sensitivity analyses confirmed the robustness of the results. In summary, portable spirometer screening is likely the optimal option for COPD screening among chronic bronchitis patients China.
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Dixon LC, Ward DJ, Smith J, Holmes S, Mahadeva R. New and emerging technologies for the diagnosis and monitoring of chronic obstructive pulmonary disease: A horizon scanning review. Chron Respir Dis 2016; 13:321-336. [PMID: 26968787 PMCID: PMC5084418 DOI: 10.1177/1479972316636994] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
There is a need for straightforward, novel diagnostic and monitoring technologies to enable the early diagnosis of COPD and its differentiation from other respiratory diseases, to establish the cause of acute exacerbations and to monitor disease progression. We sought to establish whether technologies already in development could potentially address these needs. A systematic horizon scanning review was undertaken to identify technologies in development from a wide range of commercial and non-commercial sources. Technologies were restricted to those likely to be available within 18 months, and then evaluated for degree of innovation, potential for impact, acceptability to users and likelihood of adoption by clinicians and patients with COPD. Eighty technologies were identified, of which 25 were considered particularly promising. Biomarker tests, particularly those using sputum or saliva samples and/or available at the point of care, were positively evaluated, with many offering novel approaches to early diagnosis and to determining the cause for acute exacerbations. Several wrist-worn devices and smartphone-based spirometers offering the facility for self-monitoring and early detection of exacerbations were also considered promising. The most promising identified technologies have the potential to improve COPD care and patient outcomes. Further research and evaluation activities should be focused on these technologies.
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Affiliation(s)
- Louise C Dixon
- NIHR Horizon Scanning Research & Intelligence Centre, University of Birmingham, Edgbaston, Birmingham, UK
| | - Derek J Ward
- NIHR Horizon Scanning Research & Intelligence Centre, University of Birmingham, Edgbaston, Birmingham, UK
- Derek J Ward, NIHR Horizon Scanning Research & Intelligence Centre, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK.
| | - Joanna Smith
- NIHR Horizon Scanning Research & Intelligence Centre, University of Birmingham, Edgbaston, Birmingham, UK
| | - Steve Holmes
- The Park Medical Practice, Shepton Mallet, Somerset, UK
| | - Ravi Mahadeva
- Department of Respiratory Medicine, Addenbrooke’s Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
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Rabahi MF, Pereira SA, Silva Júnior JLR, de Rezende AP, Castro da Costa A, de Sousa Corrêa K, Conde MB. Prevalence of chronic obstructive pulmonary disease among patients with systemic arterial hypertension without respiratory symptoms. Int J Chron Obstruct Pulmon Dis 2015; 10:1525-9. [PMID: 26257517 PMCID: PMC4527375 DOI: 10.2147/copd.s85588] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND The diagnosis of chronic obstructive pulmonary disease (COPD) is often delayed until later stages of the disease. The purpose of the present study was to determine the prevalence of COPD among adults on treatment for systemic arterial hypertension independently of the presence of respiratory symptoms. METHODS This cross-sectional study included adults aged ≥40 years with tobacco/occupational exposure and systemic arterial hypertension diagnosed at three Primary Health Care facilities in Goiania, Brazil. Patients were evaluated using a standardized respiratory questionnaire and spirometry. COPD prevalence was measured considering the value of forced vital capacity and/or forced expiratory volume in 1 second <0.70. RESULTS Of a total of 570 subjects, 316 (55%) met inclusion criteria and were invited to participate. Two hundred and thirty-three (73.7%) patients with arterial hypertension reported at least one respiratory symptom, while 83 (26.3%) reported no respiratory symptoms; 41 (17.6%) patients with arterial hypertension and at least one respiratory symptom, and 10 (12%) patients with arterial hypertension but no respiratory symptoms were diagnosed with COPD (P=0.24). The prevalence of COPD in people with no previous COPD diagnosis was greater among those with no respiratory symptoms (100%) than among those with respiratory symptoms (56.1%) (P=0.01). CONCLUSION Our findings suggest that regardless of the presence of respiratory symptoms, individuals aged ≥40 years with tobacco/occupational exposure and arterial hypertension may benefit from spirometric evaluation.
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Affiliation(s)
- Marcelo Fouad Rabahi
- School of Medicine, Federal University of Goiás, Goiania, Brazil
- Clínica do Aparelho Respiratório (CLARE), Goiania, Brazil
| | | | | | | | | | - Krislainy de Sousa Corrêa
- Clínica do Aparelho Respiratório (CLARE), Goiania, Brazil
- Pontifical Catholic University of Goiás, Goiania, Brazil
| | - Marcus Barreto Conde
- Faculdade de Medicina de Petrópolis/FASE, Petrópolis, Brazil
- Instituto de Doenças do Tórax da Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
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