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Kim SH, Kim Y. Big Data Research on Severe Asthma. Tuberc Respir Dis (Seoul) 2024; 87:213-220. [PMID: 38443148 PMCID: PMC11222096 DOI: 10.4046/trd.2023.0186] [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: 11/18/2023] [Revised: 01/11/2024] [Accepted: 02/29/2024] [Indexed: 03/07/2024] Open
Abstract
The continuously increasing prevalence of severe asthma has imposed an increasing burden worldwide. Despite the emergence of novel therapeutic agents, management of severe asthma remains challenging. Insights garnered from big data may be helpful in the effort to determine the complex nature of severe asthma. In the field of asthma research, a vast amount of big data from various sources, including electronic health records, national claims data, and international cohorts, is now available. However, understanding of the strengths and limitations is required for proper utilization of specific datasets. Use of big data, along with advancements in artificial intelligence techniques, could potentially facilitate the practice of precision medicine in management of severe asthma.
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Affiliation(s)
- Sang Hyuk Kim
- Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Internal Medicine, Dongguk University Gyeongju Hospital, Dongguk University College of Medicine, Gyeongju, Republic of Korea
| | - Youlim Kim
- Division of Pulmonary and Allergy, Department of Internal Medicine, Konkuk University Hospital, Konkuk University School of Medicine, Seoul, Republic of Korea
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Sun Q, Liu J, Yang Y, Chen Y, Liu D, Ye F, Dong B, Zhang Q. Association of residential land cover and wheezing among children and adolescents: A cross-sectional study in five provinces of China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 343:123191. [PMID: 38135141 DOI: 10.1016/j.envpol.2023.123191] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 12/11/2023] [Accepted: 12/17/2023] [Indexed: 12/24/2023]
Abstract
The association between residential land cover (RLC) and wheezing remains poorly understood. This study aimed to investigate the association between RLC and wheezing in childhood and adolescence. A cross-sectional survey was conducted among children and adolescents in five provinces of China. Land cover data were obtained from the Cross-Resolution Land-Cover mapping framework based on noisy label learning, classifying land cover into five categories: cropland, forest, grass/shrubland, wetland, and impervious. Generalized linear mixed models were employed to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the risk of wheezing. Mediation analysis was employed to investigate whether ambient particulate matter (PM2.5) acts as a mediator in the association between RLC and wheezing. A total of 12,875 participants were included in the study, comprising 318 patients and 12,557 controls. Cropland500m was significantly associated with decreased odds of wheezing (OR: 0.929, 95% CI: 0.879-0.982), while impervious surfaces500m significantly was associated with increased odds of wheezing (OR: 1.056, 95% CI: 1.019-1.096) in all participants. In the stratified analysis, significant differences were found in the main outcomes between the adolescence group (age ≥10 years) and the childhood group (age <10 years) (Pinteraction < 0.05), while no significant differences were observed between the southern and northern regions, or between male and female respondents. Mediation analysis revealed that PM2.5 partially mediated the association between cropland500m and impervious surfaces500m with wheezing. RLC plays a significant role in wheezing during childhood and adolescence, with cropland offering protection and impervious surfaces posing a heightened risk.
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Affiliation(s)
- Qi Sun
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Department of Pediatrics, China-Japan Friendship Hospital, Beijing, China
| | - Jing Liu
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Department of Pediatrics, China-Japan Friendship Hospital, Beijing, China; Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Yang Yang
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Department of Pediatrics, China-Japan Friendship Hospital, Beijing, China
| | - Yuanmei Chen
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Department of Pediatrics, China-Japan Friendship Hospital, Beijing, China
| | - Die Liu
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Department of Pediatrics, China-Japan Friendship Hospital, Beijing, China
| | - Fang Ye
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Department of Pediatrics, China-Japan Friendship Hospital, Beijing, China
| | - Bin Dong
- Institute of Child and Adolescent Health of Peking University, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Qi Zhang
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Department of Pediatrics, China-Japan Friendship Hospital, Beijing, China; Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
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Tiew PY, Tay TR, Chen W, Price DB, Ong KY, Chotirmall SH, Koh MS. Predictors of persistent poor control and validation of ASSESS score: Longitudinal 5-year follow-up of severe asthma cohort. THE JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY. GLOBAL 2024; 3:100188. [PMID: 38173699 PMCID: PMC10762473 DOI: 10.1016/j.jacig.2023.100188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 09/08/2023] [Accepted: 10/30/2023] [Indexed: 01/05/2024]
Abstract
Background Longitudinal predictors of persistent poor asthma control in severe asthma (SA) cohort remain scarce. The predictive value of the asthma severity scoring system (ASSESS) in the SA cohort outside the original study and in the Asian population is unknown. Objective We sought to determine the 5-year longitudinal outcome of patients with SA and validate the use of ASSESS score in predicting future outcomes in SA. Methods A prospective longitudinal observational study of patients with SA attending the multidisciplinary specialist SA clinic of the Singapore General Hospital from 2011 to 2021 was conducted. The number of exacerbations and asthma control test results were recorded yearly for 5 consecutive years. The ASSESS score was computed at baseline, and the area under the receiver-operating characteristic curve for predicting persistent poor asthma control was generated. Results Of the 489 patients recruited into the study, 306 patients with 5-year follow-up data were analyzed. Seventy-three percent had type 2 inflammation with increased overall exacerbations over 5 years (rate ratio, 2.55; 95% CI, 1.31-4.96; P = .006) relative to non-type 2 SA. In the multivariate model, bronchiectasis, gastroesophageal reflux disease, and an asthma control test score of less than 20 were significantly associated with persistent poor asthma control over 5 years. ASSESS scores were good at predicting persistent poor asthma control with an area under the receiver-operating characteristic curve of 0.71 (95% CI, 0.57-0.84). Conclusions Bronchiectasis and gastroesophageal reflux disease are predictors for persistent poor asthma control and targeted traits for precision medicine in SA. The ASSESS score has a good prediction for persistent poor asthma control over 5 years.
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Affiliation(s)
- Pei Yee Tiew
- Department of Respiratory and Critical Care Medicine, Singapore General Hospital, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
- Duke-NUS Medical School, Singapore
| | - Tunn Ren Tay
- Duke-NUS Medical School, Singapore
- Department of Respiratory and Critical Care Medicine, Changi General Hospital, Singapore
| | - Wenjia Chen
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - David B. Price
- Observational and Pragmatic Research Institute, Singapore
- Division of Applied Health Sciences, Centre of Academic Primary Care, University of Aberdeen, Aberdeen, United Kingdom
| | - Kheng Yong Ong
- Department of Pharmacy, Singapore General Hospital, Singapore
| | - Sanjay H. Chotirmall
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
- Department of Respiratory and Critical Care Medicine, Tan Tock Seng Hospital, Singapore
| | - Mariko Siyue Koh
- Department of Respiratory and Critical Care Medicine, Singapore General Hospital, Singapore
- Duke-NUS Medical School, Singapore
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Moitra S, Adan A, Akgün M, Anderson A, Brickstock A, Eathorne A, Farshchi Tabrizi A, Haldar P, Henderson L, Jindal A, Jindal SK, Kerget B, Khadour F, Melenka L, Moitra S, Moitra T, Mukherjee R, Semprini A, Turner AM, Murgia N, Ferrara G, Lacy P. Less Social Deprivation Is Associated With Better Health-Related Quality of Life in Asthma and Is Mediated by Less Anxiety and Better Sleep Quality. THE JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY. IN PRACTICE 2023; 11:2115-2124.e7. [PMID: 37087095 DOI: 10.1016/j.jaip.2023.03.052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Revised: 03/21/2023] [Accepted: 03/23/2023] [Indexed: 04/24/2023]
Abstract
BACKGROUND Previous studies on health-related quality of life (HRQoL) in asthma have mainly focused on clinical and environmental determinants. Little is known about the role of social determinants on HRQoL in asthma. OBJECTIVES We aimed to investigate the association between social deprivation and HRQoL in asthma. METHODS A total of 691 adult asthmatics from Canada, India, New Zealand, and the United Kingdom were administered a digital questionnaire containing demographic information and questions about social and psychological attributes, sleep disturbances, and alcohol abuse. HRQoL was measured using the Short Form of the Chronic Respiratory Questionnaire (SF-CRQ). We analyzed the direct and indirect relationships between social deprivation and HRQoL using structural equation models with social deprivation as a latent variable. We tested for mediation via anxiety, depression, sleep disturbances, and alcohol abuse. RESULTS We found that less social deprivation (latent variable) was directly associated with better SF-CRQ domain scores such as dyspnea (regression coefficient β: 0.33; 95% confidence interval [CI]: 0.07 to 0.58), fatigue (β: 0.39; 95% CI: 0.14 to 0.64), and emotional function (β: 0.37; 95% CI: 0.11 to 0.62), but with the worse mastery score (β: -0.29; 95% CI: -0.55 to -0.03); however, those associations varied across participating countries. We also observed that among all individual social deprivation indicators, education, companionship, emotional support, instrumental support, and social isolation were directly associated with HRQoL, and the relationship between social deprivation and HRQoL was mediated through anxiety and sleep disturbances. CONCLUSIONS Our results demonstrated that less social deprivation was directly, and indirectly through less anxiety and better sleep quality, associated with better HRQoL in asthma.
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Affiliation(s)
- Subhabrata Moitra
- Division of Pulmonary Medicine and Alberta Respiratory Centre, Department of Medicine, University of Alberta, Edmonton, AB, Canada.
| | - Ana Adan
- Department of Clinical Psychology and Psychobiology, University of Barcelona, Barcelona, Spain; Institute of Neurosciences, University of Barcelona, Barcelona, Spain
| | - Metin Akgün
- Department of Chest Diseases, Ataturk University, Erzurum, Turkey; Department of Pulmonary Medicine, Ağrı İbrahim Çeçen University, School of Medicine, Ağrı, Turkey
| | | | - Amanda Brickstock
- Department of Respiratory Medicine, University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom
| | - Allie Eathorne
- Medical Research Institute of New Zealand, Wellington, New Zealand
| | - Ali Farshchi Tabrizi
- Division of Pulmonary Medicine and Alberta Respiratory Centre, Department of Medicine, University of Alberta, Edmonton, AB, Canada
| | - Prasun Haldar
- Department of Medical Laboratory Technology, Supreme Institute of Management and Technology, Mankundu, West Bengal, India; Department of Physiology, West Bengal State University, Barasat, West Bengal, India
| | - Linda Henderson
- Synergy Respiratory and Cardiac Care, Sherwood Park, AB, Canada
| | | | | | - Bugra Kerget
- Department of Chest Diseases, Ataturk University, Erzurum, Turkey
| | - Fadi Khadour
- Synergy Respiratory and Cardiac Care, Sherwood Park, AB, Canada
| | - Lyle Melenka
- Synergy Respiratory and Cardiac Care, Sherwood Park, AB, Canada
| | - Saibal Moitra
- Department of Pulmonary Medicine, Apollo Gleneagles Hospital, Kolkata, West Bengal, India
| | - Tanusree Moitra
- Department of Psychology, Barrackpore Rashtraguru Surendrananth College, Barrackpore, West Bengal, India
| | - Rahul Mukherjee
- Department of Respiratory Medicine, University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom; Institute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom
| | - Alex Semprini
- Medical Research Institute of New Zealand, Wellington, New Zealand
| | - Alice M Turner
- Department of Respiratory Medicine, University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom; Institute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom
| | - Nicola Murgia
- Department of Environmental and Prevention Sciences, University of Ferrara, Ferrara, Italy
| | - Giovanni Ferrara
- Division of Pulmonary Medicine and Alberta Respiratory Centre, Department of Medicine, University of Alberta, Edmonton, AB, Canada
| | - Paige Lacy
- Division of Pulmonary Medicine and Alberta Respiratory Centre, Department of Medicine, University of Alberta, Edmonton, AB, Canada
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