Clinical Significance of Asthma Clusters by Longitudinal Analysis in Korean Asthma Cohort
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{"title"=>"Clinical significance of asthma clusters by longitudinal analysis in Korean asthma cohort", "type"=>"journal", "authors"=>[{"first_name"=>"So Young", "last_name"=>"Park", "scopus_author_id"=>"57077220500"}, {"first_name"=>"Seunghee", "last_name"=>"Baek", "scopus_author_id"=>"36089604400"}, {"first_name"=>"Sujeong", "last_name"=>"Kim", "scopus_author_id"=>"36666447400"}, {"first_name"=>"Sun Young", "last_name"=>"Yoon", "scopus_author_id"=>"56452038900"}, {"first_name"=>"Hyouk Soo", "last_name"=>"Kwon", "scopus_author_id"=>"35285863400"}, {"first_name"=>"Yoon Seok", "last_name"=>"Chang", "scopus_author_id"=>"55712986100"}, {"first_name"=>"You Sook", "last_name"=>"Cho", "scopus_author_id"=>"7404469543"}, {"first_name"=>"An Soo", "last_name"=>"Jang", "scopus_author_id"=>"56998374700"}, {"first_name"=>"Jung Won", "last_name"=>"Park", "scopus_author_id"=>"8591768500"}, {"first_name"=>"Dong Ho", "last_name"=>"Nahm", "scopus_author_id"=>"18034122300"}, {"first_name"=>"Ho Joo", "last_name"=>"Yoon", "scopus_author_id"=>"7402990504"}, {"first_name"=>"Sang Heon", "last_name"=>"Cho", "scopus_author_id"=>"56582804700"}, {"first_name"=>"Young Joo", "last_name"=>"Cho", "scopus_author_id"=>"55472202600"}, {"first_name"=>"Byoung Whui", "last_name"=>"Choi", "scopus_author_id"=>"35314596800"}, {"first_name"=>"Hee Bom", "last_name"=>"Moon", "scopus_author_id"=>"56473736700"}, {"first_name"=>"Tae Bum", "last_name"=>"Kim", "scopus_author_id"=>"35573754800"}], "year"=>2013, "source"=>"PLoS ONE", "identifiers"=>{"issn"=>"19326203", "pui"=>"372425306", "doi"=>"10.1371/journal.pone.0083540", "sgr"=>"84896737657", "scopus"=>"2-s2.0-84896737657", "isbn"=>"1932-6203 (Electronic)\\r1932-6203 (Linking)", "pmid"=>"24391784"}, "id"=>"1c44cd01-1aa5-33b1-904a-303862aa079d", "abstract"=>"BACKGROUND We have previously identified four distinct groups of asthma patients in KOREAN cohorts using cluster analysis: (A) smoking asthma, (B) severe obstructive asthma, (C) early-onset atopic asthma, and (D) late-onset mild asthma. METHODS AND RESULTS A longitudinal analysis of each cluster in a Korean adult asthma cohort was performed to investigate the clinical significance of asthma clusters over 12 months. Cluster A showed relatively high asthma control test (ACT) scores but relatively low FEV1 scores, despite a high percentage of systemic corticosteroid use. Cluster B had the lowest mean FEV1, ACT, and the quality of life questionnaire for adult Korean asthmatics (QLQAKA) scores throughout the year, even though the percentage of systemic corticosteroid use was the highest among the four clusters. Cluster C was ranked second in terms of FEV1, with the second lowest percentage of systemic corticosteroid use, and showed a marked improvement in subjective symptoms over time. Cluster D consistently showed the highest FEV1, the lowest systemic corticosteroid use, and had high ACT and QLQAKA scores. CONCLUSION Our asthma clusters had clinical significance with consistency among clusters over 12 months. These distinctive phenotypes may be useful in classifying asthma in real practice.", "link"=>"http://www.mendeley.com/research/clinical-significance-asthma-clusters-longitudinal-analysis-korean-asthma-cohort", "reader_count"=>25, "reader_count_by_academic_status"=>{"Professor > Associate Professor"=>1, "Researcher"=>4, "Student > Doctoral Student"=>4, "Student > Ph. D. Student"=>4, "Student > Postgraduate"=>1, "Student > Master"=>5, "Other"=>2, "Student > Bachelor"=>1, "Professor"=>2, "Unspecified"=>1}, "reader_count_by_user_role"=>{"Professor > Associate Professor"=>1, "Researcher"=>4, "Student > Doctoral Student"=>4, "Student > Ph. D. Student"=>4, "Student > Postgraduate"=>1, "Student > Master"=>5, "Other"=>2, "Student > Bachelor"=>1, "Professor"=>2, "Unspecified"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>2, "Environmental Science"=>1, "Nursing and Health Professions"=>1, "Mathematics"=>4, "Medicine and Dentistry"=>12, "Agricultural and Biological Sciences"=>3, "Chemical Engineering"=>1, "Computer Science"=>1}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>12}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>3}, "Computer Science"=>{"Computer Science"=>1}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>1}, "Mathematics"=>{"Mathematics"=>4}, "Unspecified"=>{"Unspecified"=>2}, "Environmental Science"=>{"Environmental Science"=>1}, "Chemical Engineering"=>{"Chemical Engineering"=>1}}, "reader_count_by_country"=>{"Korea (South)"=>1, "France"=>1}, "group_count"=>3}

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/1333888"], "description"=>"<p>ACT scores during the 12-month follow-up period in each cluster.</p>", "links"=>[], "tags"=>["statistics", "Biostatistics", "Statistical methods", "Clinical research design", "Cohort studies", "Longitudinal studies", "epidemiology", "Clinical epidemiology", "Non-clinical medicine", "Health care policy", "Health statistics", "Pulmonology", "asthma", "scores", "12-month", "follow-up"], "article_id"=>890412, "categories"=>["Mathematics", "Medicine"], "users"=>["So Young Park", "Seunghee Baek", "Sujeong Kim", "Sun-Young Yoon", "Hyouk-Soo Kwon", "Yoon-Seok Chang", "You Sook Cho", "An-Soo Jang", "Jung Won Park", "Dong-Ho Nahm", "Ho-Joo Yoon", "Sang-Heon Cho", "Young-Joo Cho", "ByoungWhui Choi", "Hee-Bom Moon", "Tae-Bum Kim"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0083540.g002", "stats"=>{"downloads"=>0, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_ACT_scores_during_the_12_month_follow_up_period_in_each_cluster_/890412", "title"=>"ACT scores during the 12-month follow-up period in each cluster.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-12-31 03:45:22"}
  • {"files"=>["https://ndownloader.figshare.com/files/1333902", "https://ndownloader.figshare.com/files/1333903", "https://ndownloader.figshare.com/files/1333904", "https://ndownloader.figshare.com/files/1333905", "https://ndownloader.figshare.com/files/1333907", "https://ndownloader.figshare.com/files/1333908", "https://ndownloader.figshare.com/files/1333909", "https://ndownloader.figshare.com/files/1333910", "https://ndownloader.figshare.com/files/1333911"], "description"=>"<div><p>Background</p><p>We have previously identified four distinct groups of asthma patients in Korean cohorts using cluster analysis: (A) smoking asthma, (B) severe obstructive asthma, (C) early-onset atopic asthma, and (D) late-onset mild asthma.</p><p>Methods and Results</p><p>A longitudinal analysis of each cluster in a Korean adult asthma cohort was performed to investigate the clinical significance of asthma clusters over 12 months.</p><p>Cluster A showed relatively high asthma control test (ACT) scores but relatively low FEV<sub>1</sub> scores, despite a high percentage of systemic corticosteroid use. Cluster B had the lowest mean FEV<sub>1</sub>, ACT, and the quality of life questionnaire for adult Korean asthmatics (QLQAKA) scores throughout the year, even though the percentage of systemic corticosteroid use was the highest among the four clusters. Cluster C was ranked second in terms of FEV<sub>1</sub>, with the second lowest percentage of systemic corticosteroid use, and showed a marked improvement in subjective symptoms over time. Cluster D consistently showed the highest FEV<sub>1</sub>, the lowest systemic corticosteroid use, and had high ACT and QLQAKA scores.</p><p>Conclusion</p><p>Our asthma clusters had clinical significance with consistency among clusters over 12 months. These distinctive phenotypes may be useful in classifying asthma in real practice.</p></div>", "links"=>[], "tags"=>["statistics", "Biostatistics", "Statistical methods", "Clinical research design", "Cohort studies", "Longitudinal studies", "epidemiology", "Clinical epidemiology", "Non-clinical medicine", "Health care policy", "Health statistics", "Pulmonology", "asthma", "clusters", "longitudinal", "korean"], "article_id"=>890426, "categories"=>["Mathematics", "Medicine"], "users"=>["So Young Park", "Seunghee Baek", "Sujeong Kim", "Sun-Young Yoon", "Hyouk-Soo Kwon", "Yoon-Seok Chang", "You Sook Cho", "An-Soo Jang", "Jung Won Park", "Dong-Ho Nahm", "Ho-Joo Yoon", "Sang-Heon Cho", "Young-Joo Cho", "ByoungWhui Choi", "Hee-Bom Moon", "Tae-Bum Kim"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0083540.s001", "https://dx.doi.org/10.1371/journal.pone.0083540.s002", "https://dx.doi.org/10.1371/journal.pone.0083540.s003", "https://dx.doi.org/10.1371/journal.pone.0083540.s004", "https://dx.doi.org/10.1371/journal.pone.0083540.s005", "https://dx.doi.org/10.1371/journal.pone.0083540.s006", "https://dx.doi.org/10.1371/journal.pone.0083540.s007", "https://dx.doi.org/10.1371/journal.pone.0083540.s008", "https://dx.doi.org/10.1371/journal.pone.0083540.s009"], "stats"=>{"downloads"=>36, "page_views"=>14, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Clinical_Significance_of_Asthma_Clusters_by_Longitudinal_Analysis_in_Korean_Asthma_Cohort_/890426", "title"=>"Clinical Significance of Asthma Clusters by Longitudinal Analysis in Korean Asthma Cohort", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2013-12-31 03:45:22"}
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Relative Metric

{"start_date"=>"2013-01-01T00:00:00Z", "end_date"=>"2013-12-31T00:00:00Z", "subject_areas"=>[{"subject_area"=>"/Biology and life sciences/Behavior", "average_usage"=>[306, 490, 611, 718, 817, 916, 999, 1091, 1185, 1258, 1341, 1412, 1476]}, {"subject_area"=>"/Medicine and health sciences/Health care", "average_usage"=>[278, 463, 587, 692, 804, 897, 984, 1068, 1165, 1254, 1339, 1429, 1490]}, {"subject_area"=>"/Medicine and health sciences/Pulmonology", "average_usage"=>[241, 428, 552, 659, 752, 848, 934, 1028, 1106, 1183, 1267, 1350, 1401]}, {"subject_area"=>"/Physical sciences/Mathematics", "average_usage"=>[259, 431, 541, 639, 727, 816, 898, 980, 1061, 1136, 1214, 1294, 1356]}]}
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