Asthma-Chronic Obstructive Pulmonary Diseases Overlap Syndrome Increases the Risk of Incident Tuberculosis: A National Cohort Study
The association between asthma-chronic obstructive pulmonary diseases (COPD) overlap syndrome (ACOS) and tuberculosis (TB) has yet to be studied. The newly diagnosed TB patients (age > 20 y) treated from January 2000 to December 2008 were included (ACOS cohort, n = 10 751; non-ACOS cohort, n = 42...
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description | The association between asthma-chronic obstructive pulmonary diseases (COPD) overlap syndrome (ACOS) and tuberculosis (TB) has yet to be studied.
The newly diagnosed TB patients (age > 20 y) treated from January 2000 to December 2008 were included (ACOS cohort, n = 10 751; non-ACOS cohort, n = 42 966). The non-ACOS cohort involved patients with confirmed absence of ACOS. We calculated incidence rate ratios (IRRs) for TB in the ACOS and non-ACOS cohorts by using poisson regression analysis. Cox proportional hazards regression models were used to determine the adjusted HR (aHR) for TB in the ACOS cohort compared with the non-ACOS cohort.
The aHR for TB was 2.41 (95% confidence interval [CI], 2.19-2.66) in the ACOS cohort. The TB risk was significantly higher in the ACOS cohort than in the non-ACOS cohort when stratified by age, sex, comorbidities, and atopy. Within the ACOS cohort, the aHR was higher among patients receiving SABAs+SAMAs, LABAs+LAMAs, and ICSs (aHR [95% CI]: 3.06 [2.75-3.41], 3.68 [2.93-4.61], and 2.79 [1.25-6.22], respectively; all P < .05). Furthermore, patients with more than 15 outpatient visits and hospitalizations per year demonstrated the highest aHR (8.09; 95% CI, 6.85-9.56).
ACOS cohort potentially develop incident TB, regardless of the age,sex, comorbidities and atopy; even without receiving the inhalers.This risk is higher, especially in the ACOS cohort have a high frequency of medical services or receiving the inhalers such as SABAs+SAMAs, LABAs+LAMAs and ICSs. |
doi_str_mv | 10.1371/journal.pone.0159012 |
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The newly diagnosed TB patients (age > 20 y) treated from January 2000 to December 2008 were included (ACOS cohort, n = 10 751; non-ACOS cohort, n = 42 966). The non-ACOS cohort involved patients with confirmed absence of ACOS. We calculated incidence rate ratios (IRRs) for TB in the ACOS and non-ACOS cohorts by using poisson regression analysis. Cox proportional hazards regression models were used to determine the adjusted HR (aHR) for TB in the ACOS cohort compared with the non-ACOS cohort.
The aHR for TB was 2.41 (95% confidence interval [CI], 2.19-2.66) in the ACOS cohort. The TB risk was significantly higher in the ACOS cohort than in the non-ACOS cohort when stratified by age, sex, comorbidities, and atopy. Within the ACOS cohort, the aHR was higher among patients receiving SABAs+SAMAs, LABAs+LAMAs, and ICSs (aHR [95% CI]: 3.06 [2.75-3.41], 3.68 [2.93-4.61], and 2.79 [1.25-6.22], respectively; all P < .05). Furthermore, patients with more than 15 outpatient visits and hospitalizations per year demonstrated the highest aHR (8.09; 95% CI, 6.85-9.56).
ACOS cohort potentially develop incident TB, regardless of the age,sex, comorbidities and atopy; even without receiving the inhalers.This risk is higher, especially in the ACOS cohort have a high frequency of medical services or receiving the inhalers such as SABAs+SAMAs, LABAs+LAMAs and ICSs.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0159012</identifier><identifier>PMID: 27448309</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adult ; Age ; Aged ; Analysis ; Asthma ; Asthma - complications ; Asthma - epidemiology ; Atopy ; Care and treatment ; Chronic obstructive lung disease ; Chronic obstructive pulmonary disease ; Cohort analysis ; Cohort Studies ; Comparative analysis ; Complications and side effects ; Confidence intervals ; Diabetes ; Drug therapy ; Female ; Hazards ; Health insurance ; Health risk assessment ; Health risks ; Health services ; Humans ; Incidence ; Inflammation ; Inhalers ; Lung diseases ; Male ; Medicine and Health Sciences ; Middle Aged ; Mycobacterium ; Obstructive lung disease ; Patients ; Poisson density functions ; Pulmonary Disease, Chronic Obstructive - complications ; Pulmonary Disease, Chronic Obstructive - epidemiology ; Regression analysis ; Regression models ; Risk ; Risk Assessment ; Risk factors ; Sex ; Statistical analysis ; Taiwan - epidemiology ; Tuberculosis ; Tuberculosis, Pulmonary - complications ; Tuberculosis, Pulmonary - epidemiology ; Young Adult</subject><ispartof>PloS one, 2016-07, Vol.11 (7), p.e0159012-e0159012</ispartof><rights>COPYRIGHT 2016 Public Library of Science</rights><rights>2016 Yeh et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2016 Yeh et al 2016 Yeh et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c725t-c6e9ccc072c59645bc50fb45b61dde2ee3d76bb7a516cafaad47210a4eb677be3</citedby><cites>FETCH-LOGICAL-c725t-c6e9ccc072c59645bc50fb45b61dde2ee3d76bb7a516cafaad47210a4eb677be3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4957791/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4957791/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,728,781,785,865,886,2103,2929,23871,27929,27930,53796,53798</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27448309$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Ghavami, Saeid</contributor><creatorcontrib>Yeh, Jun-Jun</creatorcontrib><creatorcontrib>Wang, Yu-Chiao</creatorcontrib><creatorcontrib>Kao, Chia-Hung</creatorcontrib><title>Asthma-Chronic Obstructive Pulmonary Diseases Overlap Syndrome Increases the Risk of Incident Tuberculosis: A National Cohort Study</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>The association between asthma-chronic obstructive pulmonary diseases (COPD) overlap syndrome (ACOS) and tuberculosis (TB) has yet to be studied.
The newly diagnosed TB patients (age > 20 y) treated from January 2000 to December 2008 were included (ACOS cohort, n = 10 751; non-ACOS cohort, n = 42 966). The non-ACOS cohort involved patients with confirmed absence of ACOS. We calculated incidence rate ratios (IRRs) for TB in the ACOS and non-ACOS cohorts by using poisson regression analysis. Cox proportional hazards regression models were used to determine the adjusted HR (aHR) for TB in the ACOS cohort compared with the non-ACOS cohort.
The aHR for TB was 2.41 (95% confidence interval [CI], 2.19-2.66) in the ACOS cohort. The TB risk was significantly higher in the ACOS cohort than in the non-ACOS cohort when stratified by age, sex, comorbidities, and atopy. Within the ACOS cohort, the aHR was higher among patients receiving SABAs+SAMAs, LABAs+LAMAs, and ICSs (aHR [95% CI]: 3.06 [2.75-3.41], 3.68 [2.93-4.61], and 2.79 [1.25-6.22], respectively; all P < .05). Furthermore, patients with more than 15 outpatient visits and hospitalizations per year demonstrated the highest aHR (8.09; 95% CI, 6.85-9.56).
ACOS cohort potentially develop incident TB, regardless of the age,sex, comorbidities and atopy; even without receiving the inhalers.This risk is higher, especially in the ACOS cohort have a high frequency of medical services or receiving the inhalers such as SABAs+SAMAs, LABAs+LAMAs and ICSs.</description><subject>Adult</subject><subject>Age</subject><subject>Aged</subject><subject>Analysis</subject><subject>Asthma</subject><subject>Asthma - complications</subject><subject>Asthma - epidemiology</subject><subject>Atopy</subject><subject>Care and treatment</subject><subject>Chronic obstructive lung disease</subject><subject>Chronic obstructive pulmonary disease</subject><subject>Cohort analysis</subject><subject>Cohort Studies</subject><subject>Comparative analysis</subject><subject>Complications and side effects</subject><subject>Confidence intervals</subject><subject>Diabetes</subject><subject>Drug therapy</subject><subject>Female</subject><subject>Hazards</subject><subject>Health insurance</subject><subject>Health risk assessment</subject><subject>Health risks</subject><subject>Health services</subject><subject>Humans</subject><subject>Incidence</subject><subject>Inflammation</subject><subject>Inhalers</subject><subject>Lung diseases</subject><subject>Male</subject><subject>Medicine and Health Sciences</subject><subject>Middle Aged</subject><subject>Mycobacterium</subject><subject>Obstructive lung disease</subject><subject>Patients</subject><subject>Poisson density functions</subject><subject>Pulmonary Disease, Chronic Obstructive - complications</subject><subject>Pulmonary Disease, Chronic Obstructive - epidemiology</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Risk</subject><subject>Risk Assessment</subject><subject>Risk factors</subject><subject>Sex</subject><subject>Statistical analysis</subject><subject>Taiwan - epidemiology</subject><subject>Tuberculosis</subject><subject>Tuberculosis, Pulmonary - complications</subject><subject>Tuberculosis, Pulmonary - epidemiology</subject><subject>Young Adult</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNk02P0zAQhiMEYpfCP0BgCQnBocVOHDvZA1JVviqtKNouXC3HmTQuSVxsp6Jn_jgO7a5atIeVD7bGz7wez0cUPSd4QhJO3q1NbzvZTDamgwkmaY5J_CA6J3kSj1mMk4dH57PoiXNrjNMkY-xxdBZzSrME5-fRn6nzdSvHs9qaTiu0KJy3vfJ6C-hb37Smk3aHPmgH0oFDiy3YRm7QcteV1rSA5p2y-ytfA7rS7icy1WDVJXQeXfcFWNU3xml3gaboq_Q6SDZoZmpjPVr6vtw9jR5VsnHw7LCPou-fPl7PvowvF5_ns-nlWPE49WPFIFdKYR6rNGc0LVSKqyLsjJQlxABJyVlRcJkSpmQlZUl5TLCkUDDOC0hG0cu97ibEIw75c4JkmMVJkuQsEPM9URq5Fhur2_B7YaQW_wzGroS0XqsGBGUS4zKWhCeEUkaLIi0IVoywKoRA46D1_vBaX7RQqpAOK5sT0dObTtdiZbaC5innOQkCbw4C1vzqwXnRaqegaWQHph_iJiTLcs7Se6AhazzLQ9FH0av_0LsTcaBWMvxVd5UJIapBVExpaDWG83SgJndQYZXQahX6stLBfuLw9sQhMB5--5XsnRPz5dX92cWPU_b1EVuDbHztTNMPzeZOQboHlTXOWahu60GwGMbqJhtiGCtxGKvg9uK4lrdON3OU_AUiBh6E</recordid><startdate>20160722</startdate><enddate>20160722</enddate><creator>Yeh, Jun-Jun</creator><creator>Wang, Yu-Chiao</creator><creator>Kao, Chia-Hung</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20160722</creationdate><title>Asthma-Chronic Obstructive Pulmonary Diseases Overlap Syndrome Increases the Risk of Incident Tuberculosis: A National Cohort Study</title><author>Yeh, Jun-Jun ; Wang, Yu-Chiao ; Kao, Chia-Hung</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c725t-c6e9ccc072c59645bc50fb45b61dde2ee3d76bb7a516cafaad47210a4eb677be3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Adult</topic><topic>Age</topic><topic>Aged</topic><topic>Analysis</topic><topic>Asthma</topic><topic>Asthma - complications</topic><topic>Asthma - epidemiology</topic><topic>Atopy</topic><topic>Care and treatment</topic><topic>Chronic obstructive lung disease</topic><topic>Chronic obstructive pulmonary disease</topic><topic>Cohort analysis</topic><topic>Cohort Studies</topic><topic>Comparative analysis</topic><topic>Complications and side effects</topic><topic>Confidence intervals</topic><topic>Diabetes</topic><topic>Drug therapy</topic><topic>Female</topic><topic>Hazards</topic><topic>Health insurance</topic><topic>Health risk assessment</topic><topic>Health risks</topic><topic>Health services</topic><topic>Humans</topic><topic>Incidence</topic><topic>Inflammation</topic><topic>Inhalers</topic><topic>Lung diseases</topic><topic>Male</topic><topic>Medicine and Health Sciences</topic><topic>Middle Aged</topic><topic>Mycobacterium</topic><topic>Obstructive lung disease</topic><topic>Patients</topic><topic>Poisson density functions</topic><topic>Pulmonary Disease, Chronic Obstructive - complications</topic><topic>Pulmonary Disease, Chronic Obstructive - epidemiology</topic><topic>Regression analysis</topic><topic>Regression models</topic><topic>Risk</topic><topic>Risk Assessment</topic><topic>Risk factors</topic><topic>Sex</topic><topic>Statistical analysis</topic><topic>Taiwan - epidemiology</topic><topic>Tuberculosis</topic><topic>Tuberculosis, Pulmonary - complications</topic><topic>Tuberculosis, Pulmonary - epidemiology</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yeh, Jun-Jun</creatorcontrib><creatorcontrib>Wang, Yu-Chiao</creatorcontrib><creatorcontrib>Kao, Chia-Hung</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yeh, Jun-Jun</au><au>Wang, Yu-Chiao</au><au>Kao, Chia-Hung</au><au>Ghavami, Saeid</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Asthma-Chronic Obstructive Pulmonary Diseases Overlap Syndrome Increases the Risk of Incident Tuberculosis: A National Cohort Study</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2016-07-22</date><risdate>2016</risdate><volume>11</volume><issue>7</issue><spage>e0159012</spage><epage>e0159012</epage><pages>e0159012-e0159012</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>The association between asthma-chronic obstructive pulmonary diseases (COPD) overlap syndrome (ACOS) and tuberculosis (TB) has yet to be studied.
The newly diagnosed TB patients (age > 20 y) treated from January 2000 to December 2008 were included (ACOS cohort, n = 10 751; non-ACOS cohort, n = 42 966). The non-ACOS cohort involved patients with confirmed absence of ACOS. We calculated incidence rate ratios (IRRs) for TB in the ACOS and non-ACOS cohorts by using poisson regression analysis. Cox proportional hazards regression models were used to determine the adjusted HR (aHR) for TB in the ACOS cohort compared with the non-ACOS cohort.
The aHR for TB was 2.41 (95% confidence interval [CI], 2.19-2.66) in the ACOS cohort. The TB risk was significantly higher in the ACOS cohort than in the non-ACOS cohort when stratified by age, sex, comorbidities, and atopy. Within the ACOS cohort, the aHR was higher among patients receiving SABAs+SAMAs, LABAs+LAMAs, and ICSs (aHR [95% CI]: 3.06 [2.75-3.41], 3.68 [2.93-4.61], and 2.79 [1.25-6.22], respectively; all P < .05). Furthermore, patients with more than 15 outpatient visits and hospitalizations per year demonstrated the highest aHR (8.09; 95% CI, 6.85-9.56).
ACOS cohort potentially develop incident TB, regardless of the age,sex, comorbidities and atopy; even without receiving the inhalers.This risk is higher, especially in the ACOS cohort have a high frequency of medical services or receiving the inhalers such as SABAs+SAMAs, LABAs+LAMAs and ICSs.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>27448309</pmid><doi>10.1371/journal.pone.0159012</doi><tpages>e0159012</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adult Age Aged Analysis Asthma Asthma - complications Asthma - epidemiology Atopy Care and treatment Chronic obstructive lung disease Chronic obstructive pulmonary disease Cohort analysis Cohort Studies Comparative analysis Complications and side effects Confidence intervals Diabetes Drug therapy Female Hazards Health insurance Health risk assessment Health risks Health services Humans Incidence Inflammation Inhalers Lung diseases Male Medicine and Health Sciences Middle Aged Mycobacterium Obstructive lung disease Patients Poisson density functions Pulmonary Disease, Chronic Obstructive - complications Pulmonary Disease, Chronic Obstructive - epidemiology Regression analysis Regression models Risk Risk Assessment Risk factors Sex Statistical analysis Taiwan - epidemiology Tuberculosis Tuberculosis, Pulmonary - complications Tuberculosis, Pulmonary - epidemiology Young Adult |
title | Asthma-Chronic Obstructive Pulmonary Diseases Overlap Syndrome Increases the Risk of Incident Tuberculosis: A National Cohort Study |
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