Comparison of hypothesis- and data-driven asthma phenotypes in NHANES 2007–2012: the importance of comprehensive data availability
Abstract Background Half of the adults with current asthma among the US National Health and Nutrition Examination Survey (NHANES) participants could be classified in more than one hypothesis-driven phenotype. A data-driven approach applied to the same subjects may allow a more useful classification...
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| Format: | Article |
| Language: | English |
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Wiley
2019-03-01
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| Series: | Clinical and Translational Allergy |
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| Online Access: | http://link.springer.com/article/10.1186/s13601-019-0258-7 |
| _version_ | 1818588193221509120 |
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| author | Rita Amaral Ana M. Pereira Tiago Jacinto Andrei Malinovschi Christer Janson Kjell Alving João A. Fonseca |
| author_facet | Rita Amaral Ana M. Pereira Tiago Jacinto Andrei Malinovschi Christer Janson Kjell Alving João A. Fonseca |
| author_sort | Rita Amaral |
| collection | DOAJ |
| description | Abstract Background Half of the adults with current asthma among the US National Health and Nutrition Examination Survey (NHANES) participants could be classified in more than one hypothesis-driven phenotype. A data-driven approach applied to the same subjects may allow a more useful classification compared to the hypothesis-driven one. Aim To compare previously defined hypothesis-driven with newly derived data-driven asthma phenotypes, identified by latent class analysis (LCA), in adults with current asthma from NHANES 2007–2012. Methods Adults (≥ 18 years) with current asthma from the NHANES were included (n = 1059). LCA included variables commonly used to subdivide asthma. LCA models were derived independently according to age groups: < 40 and ≥ 40 years old. Results Two data-driven phenotypes were identified among adults with current asthma, for both age groups. The proportions of the hypothesis-driven phenotypes were similar among the two data-driven phenotypes (p > 0.05). Class A < 40 years (n = 285; 75%) and Class A ≥ 40 years (n = 462; 73%), respectively, were characterized by a predominance of highly symptomatic asthma subjects with poor lung function, compared to Class B < 40 years (n = 94; 25%) and Class B ≥ 40 years (n = 170; 27%). Inflammatory biomarkers, smoking status, presence of obesity and hay fever did not markedly differ between the phenotypes. Conclusion Both data- and hypothesis-driven approaches using clinical and physiological variables commonly used to characterize asthma are suboptimal to identify asthma phenotypes among adults from the general population. Further studies based on more comprehensive disease features are required to identify asthma phenotypes in population-based studies. |
| first_indexed | 2024-12-16T09:20:51Z |
| format | Article |
| id | doaj.art-5a47bf78e1004899a26d79c305a6fcee |
| institution | Directory Open Access Journal |
| issn | 2045-7022 |
| language | English |
| last_indexed | 2024-12-16T09:20:51Z |
| publishDate | 2019-03-01 |
| publisher | Wiley |
| record_format | Article |
| series | Clinical and Translational Allergy |
| spelling | doaj.art-5a47bf78e1004899a26d79c305a6fcee2022-12-21T22:36:47ZengWileyClinical and Translational Allergy2045-70222019-03-01911710.1186/s13601-019-0258-7Comparison of hypothesis- and data-driven asthma phenotypes in NHANES 2007–2012: the importance of comprehensive data availabilityRita Amaral0Ana M. Pereira1Tiago Jacinto2Andrei Malinovschi3Christer Janson4Kjell Alving5João A. Fonseca6CINTESIS – Center for Health Technology and Services Research, Faculty of Medicine, University of PortoCINTESIS – Center for Health Technology and Services Research, Faculty of Medicine, University of PortoCINTESIS – Center for Health Technology and Services Research, Faculty of Medicine, University of PortoDepartment of Medical Sciences, Clinical Physiology, Uppsala UniversityDepartment of Medical Sciences, Respiratory Medicine and Allergology, Uppsala UniversityDepartment of Women’s and Children’s Health, Paediatric Research, Uppsala UniversityCINTESIS – Center for Health Technology and Services Research, Faculty of Medicine, University of PortoAbstract Background Half of the adults with current asthma among the US National Health and Nutrition Examination Survey (NHANES) participants could be classified in more than one hypothesis-driven phenotype. A data-driven approach applied to the same subjects may allow a more useful classification compared to the hypothesis-driven one. Aim To compare previously defined hypothesis-driven with newly derived data-driven asthma phenotypes, identified by latent class analysis (LCA), in adults with current asthma from NHANES 2007–2012. Methods Adults (≥ 18 years) with current asthma from the NHANES were included (n = 1059). LCA included variables commonly used to subdivide asthma. LCA models were derived independently according to age groups: < 40 and ≥ 40 years old. Results Two data-driven phenotypes were identified among adults with current asthma, for both age groups. The proportions of the hypothesis-driven phenotypes were similar among the two data-driven phenotypes (p > 0.05). Class A < 40 years (n = 285; 75%) and Class A ≥ 40 years (n = 462; 73%), respectively, were characterized by a predominance of highly symptomatic asthma subjects with poor lung function, compared to Class B < 40 years (n = 94; 25%) and Class B ≥ 40 years (n = 170; 27%). Inflammatory biomarkers, smoking status, presence of obesity and hay fever did not markedly differ between the phenotypes. Conclusion Both data- and hypothesis-driven approaches using clinical and physiological variables commonly used to characterize asthma are suboptimal to identify asthma phenotypes among adults from the general population. Further studies based on more comprehensive disease features are required to identify asthma phenotypes in population-based studies.http://link.springer.com/article/10.1186/s13601-019-0258-7AsthmaPhenotypesPopulation-based studyUnsupervised analysis |
| spellingShingle | Rita Amaral Ana M. Pereira Tiago Jacinto Andrei Malinovschi Christer Janson Kjell Alving João A. Fonseca Comparison of hypothesis- and data-driven asthma phenotypes in NHANES 2007–2012: the importance of comprehensive data availability Clinical and Translational Allergy Asthma Phenotypes Population-based study Unsupervised analysis |
| title | Comparison of hypothesis- and data-driven asthma phenotypes in NHANES 2007–2012: the importance of comprehensive data availability |
| title_full | Comparison of hypothesis- and data-driven asthma phenotypes in NHANES 2007–2012: the importance of comprehensive data availability |
| title_fullStr | Comparison of hypothesis- and data-driven asthma phenotypes in NHANES 2007–2012: the importance of comprehensive data availability |
| title_full_unstemmed | Comparison of hypothesis- and data-driven asthma phenotypes in NHANES 2007–2012: the importance of comprehensive data availability |
| title_short | Comparison of hypothesis- and data-driven asthma phenotypes in NHANES 2007–2012: the importance of comprehensive data availability |
| title_sort | comparison of hypothesis and data driven asthma phenotypes in nhanes 2007 2012 the importance of comprehensive data availability |
| topic | Asthma Phenotypes Population-based study Unsupervised analysis |
| url | http://link.springer.com/article/10.1186/s13601-019-0258-7 |
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