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Clustering of patients with severe asthma based on long-term percentage of forced expiratory volume in 1 second (FEV1) changes: Real-world evidence.

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Title: Clustering of patients with severe asthma based on long-term percentage of forced expiratory volume in 1 second (FEV1) changes: Real-world evidence.
Authors: Lee Y; Department of Allergy and Clinical Immunology, Ajou University School of Medicine, Suwon, Republic of Korea., Chang J; Department of Biomedical Sciences, Ajou University Graduate School of Medicine, Suwon, Republic of Korea; Center for Biomedical Informatics Research, Ajou University Medical Center, Suwon, Republic of Korea; BK21 R&E Initiative for Advanced Precision Medicine, Suwon, Republic of Korea., Kim C; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut; Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut., Lee E; Department of Neurology, McGovern Medical School at UTHealth, Houston, Texas., Jang JH; Department of Allergy and Clinical Immunology, Ajou University School of Medicine, Suwon, Republic of Korea., Park RW; Department of Biomedical Sciences, Ajou University Graduate School of Medicine, Suwon, Republic of Korea; Center for Biomedical Informatics Research, Ajou University Medical Center, Suwon, Republic of Korea; BK21 R&E Initiative for Advanced Precision Medicine, Suwon, Republic of Korea; Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Republic of Korea. Electronic address: veritas@ajou.ac.kr., Park HS; Department of Allergy and Clinical Immunology, Ajou University School of Medicine, Suwon, Republic of Korea. Electronic address: hspark@ajou.ac.kr.
Source: Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology [Ann Allergy Asthma Immunol] 2026 May; Vol. 136 (5), pp. 538-544.e2. Date of Electronic Publication: 2025 Dec 05.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: American College of Allergy, Asthma, and Immunology Country of Publication: United States NLM ID: 9503580 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1534-4436 (Electronic) Linking ISSN: 10811206 NLM ISO Abbreviation: Ann Allergy Asthma Immunol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Clustering of patients with severe asthma based on long-term percentage of forced expiratory volume in 1 second (FEV1) changes: Real-world evidence.
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  Data: <searchLink fieldCode="AU" term="%22Lee+Y%22">Lee Y</searchLink>; Department of Allergy and Clinical Immunology, Ajou University School of Medicine, Suwon, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Chang+J%22">Chang J</searchLink>; Department of Biomedical Sciences, Ajou University Graduate School of Medicine, Suwon, Republic of Korea; Center for Biomedical Informatics Research, Ajou University Medical Center, Suwon, Republic of Korea; BK21 R&E Initiative for Advanced Precision Medicine, Suwon, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kim+C%22">Kim C</searchLink>; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut; Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut.<br /><searchLink fieldCode="AU" term="%22Lee+E%22">Lee E</searchLink>; Department of Neurology, McGovern Medical School at UTHealth, Houston, Texas.<br /><searchLink fieldCode="AU" term="%22Jang+JH%22">Jang JH</searchLink>; Department of Allergy and Clinical Immunology, Ajou University School of Medicine, Suwon, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Park+RW%22">Park RW</searchLink>; Department of Biomedical Sciences, Ajou University Graduate School of Medicine, Suwon, Republic of Korea; Center for Biomedical Informatics Research, Ajou University Medical Center, Suwon, Republic of Korea; BK21 R&E Initiative for Advanced Precision Medicine, Suwon, Republic of Korea; Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Republic of Korea. Electronic address: veritas@ajou.ac.kr.<br /><searchLink fieldCode="AU" term="%22Park+HS%22">Park HS</searchLink>; Department of Allergy and Clinical Immunology, Ajou University School of Medicine, Suwon, Republic of Korea. Electronic address: hspark@ajou.ac.kr.
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  Data: <searchLink fieldCode="JN" term="%229503580%22">Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology</searchLink> [Ann Allergy Asthma Immunol] 2026 May; Vol. 136 (5), pp. 538-544.e2. <i>Date of Electronic Publication: </i>2025 Dec 05.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22American+College+of+Allergy%2C+Asthma%2C+and+Immunology%22">American College of Allergy, Asthma, and Immunology </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>9503580 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1534-4436 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2210811206%22">10811206 </searchLink><i>NLM ISO Abbreviation: </i>Ann Allergy Asthma Immunol <i>Subsets: </i>MEDLINE
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              Text: 2026 May
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