Clinical impact of body composition phenotypes in patients with COPD: a retrospective analysis
Background/Objectives Abnormal body composition is an independent determinant of COPD outcomes. To date, it is already known that patient stratification into body composition phenotypes are associated with important outcomes, such as exercise capacity and inflammation, but there are no data comparin...
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creator | Machado, Felipe. V. C. Schneider, Lorena P. Fonseca, Jéssica Belo, Letícia F. Bonomo, Camila Morita, Andrea A. Furlanetto, Karina C. Felcar, Josiane M. Rodrigues, Antenor Franssen, Frits M. E. Spruit, Martijn A. Pitta, Fabio Hernandes, Nidia A. |
description | Background/Objectives
Abnormal body composition is an independent determinant of COPD outcomes. To date, it is already known that patient stratification into body composition phenotypes are associated with important outcomes, such as exercise capacity and inflammation, but there are no data comparing physical activity and muscle strength among these phenotypes. Thus, the aim of this study was to compare clinical characteristics and physical function in patients with COPD stratified into body composition phenotypes.
Subjects/Methods
Two-hundred and seventy stable COPD patients were classified according to the 10th and 90th percentiles of sex-age-BMI-specific reference values for fat-free and fat mass indexes into four groups: Normal body composition (NBC), Obese, Sarcopenic, and Sarcopenic-obese (SO). Patients underwent assessment of exercise capacity, peripheral and respiratory muscle strength, physical activity, dyspnea severity, functional status, and symptoms of anxiety and depression.
Results
The prevalence of patients classified as NBC, Obese, Sarcopenic, and SO was 39%, 13%, 21%, or 27%, respectively. SO presented lower 6MWT compared with NBC (
P
|
doi_str_mv | 10.1038/s41430-019-0390-4 |
format | Article |
fullrecord | <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_miscellaneous_2179349183</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A605045004</galeid><sourcerecordid>A605045004</sourcerecordid><originalsourceid>FETCH-LOGICAL-c551t-8545335dee8f5c502cfca01023efe9e35d4d38303553fad58e044795636b8be23</originalsourceid><addsrcrecordid>eNp1kktv1DAUhSMEokPhB7BBlpBQNynXrzzYVUN5SJXKArZYHudmxlViB9spmn-PoymFokFeWPb9zrF17ymKlxTOKfDmbRRUcCiBtiXwFkrxqFhRUVelrAQ8LlbQSlFygPqkeBbjDUAu1uxpccKhEpwxtiq-rwfrrNEDseOkTSK-Jxvf7Ynx4-SjTdY7Mu3Q-bSfMBKbTzpZdCmSnzbtyPr6y_t3RJOAKfg4oUn2Fol2ethHG58XT3o9RHxxt58W3z5cfl1_Kq-uP35eX1yVRkqaykYKybnsEJteGgnM9EYDBcaxxxZzRXS84cCl5L3uZIMgRN3KilebZoOMnxZnB98p-B8zxqRGGw0Og3bo56gYrVsuWtrwjL7-B73xc8j_zRSnTAou80P31FYPqKzrfQraLKbqogIJQgKITJVHqC06DHrwDnubrx_w50f4vDocrTkqePOXYId6SLvoh3kZS3wI0gNo8hRiwF5NwY467BUFtYRFHcKicljUEha1aF7ddWLejNjdK36nIwPsAMRcclsMf1r1f9dfX2fFzA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2312543530</pqid></control><display><type>article</type><title>Clinical impact of body composition phenotypes in patients with COPD: a retrospective analysis</title><source>SpringerLink Journals</source><creator>Machado, Felipe. V. C. ; Schneider, Lorena P. ; Fonseca, Jéssica ; Belo, Letícia F. ; Bonomo, Camila ; Morita, Andrea A. ; Furlanetto, Karina C. ; Felcar, Josiane M. ; Rodrigues, Antenor ; Franssen, Frits M. E. ; Spruit, Martijn A. ; Pitta, Fabio ; Hernandes, Nidia A.</creator><creatorcontrib>Machado, Felipe. V. C. ; Schneider, Lorena P. ; Fonseca, Jéssica ; Belo, Letícia F. ; Bonomo, Camila ; Morita, Andrea A. ; Furlanetto, Karina C. ; Felcar, Josiane M. ; Rodrigues, Antenor ; Franssen, Frits M. E. ; Spruit, Martijn A. ; Pitta, Fabio ; Hernandes, Nidia A.</creatorcontrib><description>Background/Objectives
Abnormal body composition is an independent determinant of COPD outcomes. To date, it is already known that patient stratification into body composition phenotypes are associated with important outcomes, such as exercise capacity and inflammation, but there are no data comparing physical activity and muscle strength among these phenotypes. Thus, the aim of this study was to compare clinical characteristics and physical function in patients with COPD stratified into body composition phenotypes.
Subjects/Methods
Two-hundred and seventy stable COPD patients were classified according to the 10th and 90th percentiles of sex-age-BMI-specific reference values for fat-free and fat mass indexes into four groups: Normal body composition (NBC), Obese, Sarcopenic, and Sarcopenic-obese (SO). Patients underwent assessment of exercise capacity, peripheral and respiratory muscle strength, physical activity, dyspnea severity, functional status, and symptoms of anxiety and depression.
Results
The prevalence of patients classified as NBC, Obese, Sarcopenic, and SO was 39%, 13%, 21%, or 27%, respectively. SO presented lower 6MWT compared with NBC (
P
< 0.05). Sarcopenic and SO groups presented worse muscle strength compared with NBC (
P
< 0.05
)
. Sarcopenic group presented more time in moderate-to-vigorous physical activity compared to all other groups (
P
< 0.05) and less sedentary time when compared with NBC and obese groups (
P
< 0.05). There were no differences regarding dyspnea severity, functional status, and symptoms of anxiety and depression (
P
> 0.16). Sarcopenic and SO groups had, respectively, 7.8 [95% CI: 1.6–37.7] and 9.5 [2.2–41.7] times higher odds to have a 6MWT equal or lower to 350 meters.
Conclusions
Body composition phenotypes are associated with physical function in patients with COPD. Sarcopenic-obese patients were the most impaired.</description><identifier>ISSN: 0954-3007</identifier><identifier>EISSN: 1476-5640</identifier><identifier>DOI: 10.1038/s41430-019-0390-4</identifier><identifier>PMID: 30643222</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>692/699/1702/295 ; 692/699/1702/393 ; Age ; Anxiety ; Body composition ; Body fat ; Body mass index ; Care and treatment ; Chronic obstructive pulmonary disease ; Clinical Nutrition ; Dyspnea ; Epidemiology ; Exercise ; Fat-free body mass ; Genetic aspects ; Internal Medicine ; Lung diseases, Obstructive ; Medicine ; Medicine & Public Health ; Mental depression ; Metabolic Diseases ; Muscle strength ; Phenotype ; Phenotypes ; Physical activity ; Physical fitness ; Physical training ; Physiological aspects ; Public Health ; Respiration</subject><ispartof>European journal of clinical nutrition, 2019-11, Vol.73 (11), p.1512-1519</ispartof><rights>Springer Nature Limited 2019</rights><rights>COPYRIGHT 2019 Nature Publishing Group</rights><rights>2019© Springer Nature Limited 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c551t-8545335dee8f5c502cfca01023efe9e35d4d38303553fad58e044795636b8be23</citedby><cites>FETCH-LOGICAL-c551t-8545335dee8f5c502cfca01023efe9e35d4d38303553fad58e044795636b8be23</cites><orcidid>0000-0002-0064-2826</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1038/s41430-019-0390-4$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1038/s41430-019-0390-4$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30643222$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Machado, Felipe. V. C.</creatorcontrib><creatorcontrib>Schneider, Lorena P.</creatorcontrib><creatorcontrib>Fonseca, Jéssica</creatorcontrib><creatorcontrib>Belo, Letícia F.</creatorcontrib><creatorcontrib>Bonomo, Camila</creatorcontrib><creatorcontrib>Morita, Andrea A.</creatorcontrib><creatorcontrib>Furlanetto, Karina C.</creatorcontrib><creatorcontrib>Felcar, Josiane M.</creatorcontrib><creatorcontrib>Rodrigues, Antenor</creatorcontrib><creatorcontrib>Franssen, Frits M. E.</creatorcontrib><creatorcontrib>Spruit, Martijn A.</creatorcontrib><creatorcontrib>Pitta, Fabio</creatorcontrib><creatorcontrib>Hernandes, Nidia A.</creatorcontrib><title>Clinical impact of body composition phenotypes in patients with COPD: a retrospective analysis</title><title>European journal of clinical nutrition</title><addtitle>Eur J Clin Nutr</addtitle><addtitle>Eur J Clin Nutr</addtitle><description>Background/Objectives
Abnormal body composition is an independent determinant of COPD outcomes. To date, it is already known that patient stratification into body composition phenotypes are associated with important outcomes, such as exercise capacity and inflammation, but there are no data comparing physical activity and muscle strength among these phenotypes. Thus, the aim of this study was to compare clinical characteristics and physical function in patients with COPD stratified into body composition phenotypes.
Subjects/Methods
Two-hundred and seventy stable COPD patients were classified according to the 10th and 90th percentiles of sex-age-BMI-specific reference values for fat-free and fat mass indexes into four groups: Normal body composition (NBC), Obese, Sarcopenic, and Sarcopenic-obese (SO). Patients underwent assessment of exercise capacity, peripheral and respiratory muscle strength, physical activity, dyspnea severity, functional status, and symptoms of anxiety and depression.
Results
The prevalence of patients classified as NBC, Obese, Sarcopenic, and SO was 39%, 13%, 21%, or 27%, respectively. SO presented lower 6MWT compared with NBC (
P
< 0.05). Sarcopenic and SO groups presented worse muscle strength compared with NBC (
P
< 0.05
)
. Sarcopenic group presented more time in moderate-to-vigorous physical activity compared to all other groups (
P
< 0.05) and less sedentary time when compared with NBC and obese groups (
P
< 0.05). There were no differences regarding dyspnea severity, functional status, and symptoms of anxiety and depression (
P
> 0.16). Sarcopenic and SO groups had, respectively, 7.8 [95% CI: 1.6–37.7] and 9.5 [2.2–41.7] times higher odds to have a 6MWT equal or lower to 350 meters.
Conclusions
Body composition phenotypes are associated with physical function in patients with COPD. Sarcopenic-obese patients were the most impaired.</description><subject>692/699/1702/295</subject><subject>692/699/1702/393</subject><subject>Age</subject><subject>Anxiety</subject><subject>Body composition</subject><subject>Body fat</subject><subject>Body mass index</subject><subject>Care and treatment</subject><subject>Chronic obstructive pulmonary disease</subject><subject>Clinical Nutrition</subject><subject>Dyspnea</subject><subject>Epidemiology</subject><subject>Exercise</subject><subject>Fat-free body mass</subject><subject>Genetic aspects</subject><subject>Internal Medicine</subject><subject>Lung diseases, Obstructive</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Mental depression</subject><subject>Metabolic Diseases</subject><subject>Muscle strength</subject><subject>Phenotype</subject><subject>Phenotypes</subject><subject>Physical activity</subject><subject>Physical fitness</subject><subject>Physical training</subject><subject>Physiological aspects</subject><subject>Public Health</subject><subject>Respiration</subject><issn>0954-3007</issn><issn>1476-5640</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp1kktv1DAUhSMEokPhB7BBlpBQNynXrzzYVUN5SJXKArZYHudmxlViB9spmn-PoymFokFeWPb9zrF17ymKlxTOKfDmbRRUcCiBtiXwFkrxqFhRUVelrAQ8LlbQSlFygPqkeBbjDUAu1uxpccKhEpwxtiq-rwfrrNEDseOkTSK-Jxvf7Ynx4-SjTdY7Mu3Q-bSfMBKbTzpZdCmSnzbtyPr6y_t3RJOAKfg4oUn2Fol2ethHG58XT3o9RHxxt58W3z5cfl1_Kq-uP35eX1yVRkqaykYKybnsEJteGgnM9EYDBcaxxxZzRXS84cCl5L3uZIMgRN3KilebZoOMnxZnB98p-B8zxqRGGw0Og3bo56gYrVsuWtrwjL7-B73xc8j_zRSnTAou80P31FYPqKzrfQraLKbqogIJQgKITJVHqC06DHrwDnubrx_w50f4vDocrTkqePOXYId6SLvoh3kZS3wI0gNo8hRiwF5NwY467BUFtYRFHcKicljUEha1aF7ddWLejNjdK36nIwPsAMRcclsMf1r1f9dfX2fFzA</recordid><startdate>20191101</startdate><enddate>20191101</enddate><creator>Machado, Felipe. V. C.</creator><creator>Schneider, Lorena P.</creator><creator>Fonseca, Jéssica</creator><creator>Belo, Letícia F.</creator><creator>Bonomo, Camila</creator><creator>Morita, Andrea A.</creator><creator>Furlanetto, Karina C.</creator><creator>Felcar, Josiane M.</creator><creator>Rodrigues, Antenor</creator><creator>Franssen, Frits M. E.</creator><creator>Spruit, Martijn A.</creator><creator>Pitta, Fabio</creator><creator>Hernandes, Nidia A.</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QP</scope><scope>7RV</scope><scope>7TK</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AN0</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>M7P</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-0064-2826</orcidid></search><sort><creationdate>20191101</creationdate><title>Clinical impact of body composition phenotypes in patients with COPD: a retrospective analysis</title><author>Machado, Felipe. V. C. ; Schneider, Lorena P. ; Fonseca, Jéssica ; Belo, Letícia F. ; Bonomo, Camila ; Morita, Andrea A. ; Furlanetto, Karina C. ; Felcar, Josiane M. ; Rodrigues, Antenor ; Franssen, Frits M. E. ; Spruit, Martijn A. ; Pitta, Fabio ; Hernandes, Nidia A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c551t-8545335dee8f5c502cfca01023efe9e35d4d38303553fad58e044795636b8be23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>692/699/1702/295</topic><topic>692/699/1702/393</topic><topic>Age</topic><topic>Anxiety</topic><topic>Body composition</topic><topic>Body fat</topic><topic>Body mass index</topic><topic>Care and treatment</topic><topic>Chronic obstructive pulmonary disease</topic><topic>Clinical Nutrition</topic><topic>Dyspnea</topic><topic>Epidemiology</topic><topic>Exercise</topic><topic>Fat-free body mass</topic><topic>Genetic aspects</topic><topic>Internal Medicine</topic><topic>Lung diseases, Obstructive</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Mental depression</topic><topic>Metabolic Diseases</topic><topic>Muscle strength</topic><topic>Phenotype</topic><topic>Phenotypes</topic><topic>Physical activity</topic><topic>Physical fitness</topic><topic>Physical training</topic><topic>Physiological aspects</topic><topic>Public Health</topic><topic>Respiration</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Machado, Felipe. 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E.</creatorcontrib><creatorcontrib>Spruit, Martijn A.</creatorcontrib><creatorcontrib>Pitta, Fabio</creatorcontrib><creatorcontrib>Hernandes, Nidia A.</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Neurosciences 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>ProQuest SciTech 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>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>British Nursing Database</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>European journal of clinical nutrition</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Machado, Felipe. V. C.</au><au>Schneider, Lorena P.</au><au>Fonseca, Jéssica</au><au>Belo, Letícia F.</au><au>Bonomo, Camila</au><au>Morita, Andrea A.</au><au>Furlanetto, Karina C.</au><au>Felcar, Josiane M.</au><au>Rodrigues, Antenor</au><au>Franssen, Frits M. E.</au><au>Spruit, Martijn A.</au><au>Pitta, Fabio</au><au>Hernandes, Nidia A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Clinical impact of body composition phenotypes in patients with COPD: a retrospective analysis</atitle><jtitle>European journal of clinical nutrition</jtitle><stitle>Eur J Clin Nutr</stitle><addtitle>Eur J Clin Nutr</addtitle><date>2019-11-01</date><risdate>2019</risdate><volume>73</volume><issue>11</issue><spage>1512</spage><epage>1519</epage><pages>1512-1519</pages><issn>0954-3007</issn><eissn>1476-5640</eissn><abstract>Background/Objectives
Abnormal body composition is an independent determinant of COPD outcomes. To date, it is already known that patient stratification into body composition phenotypes are associated with important outcomes, such as exercise capacity and inflammation, but there are no data comparing physical activity and muscle strength among these phenotypes. Thus, the aim of this study was to compare clinical characteristics and physical function in patients with COPD stratified into body composition phenotypes.
Subjects/Methods
Two-hundred and seventy stable COPD patients were classified according to the 10th and 90th percentiles of sex-age-BMI-specific reference values for fat-free and fat mass indexes into four groups: Normal body composition (NBC), Obese, Sarcopenic, and Sarcopenic-obese (SO). Patients underwent assessment of exercise capacity, peripheral and respiratory muscle strength, physical activity, dyspnea severity, functional status, and symptoms of anxiety and depression.
Results
The prevalence of patients classified as NBC, Obese, Sarcopenic, and SO was 39%, 13%, 21%, or 27%, respectively. SO presented lower 6MWT compared with NBC (
P
< 0.05). Sarcopenic and SO groups presented worse muscle strength compared with NBC (
P
< 0.05
)
. Sarcopenic group presented more time in moderate-to-vigorous physical activity compared to all other groups (
P
< 0.05) and less sedentary time when compared with NBC and obese groups (
P
< 0.05). There were no differences regarding dyspnea severity, functional status, and symptoms of anxiety and depression (
P
> 0.16). Sarcopenic and SO groups had, respectively, 7.8 [95% CI: 1.6–37.7] and 9.5 [2.2–41.7] times higher odds to have a 6MWT equal or lower to 350 meters.
Conclusions
Body composition phenotypes are associated with physical function in patients with COPD. Sarcopenic-obese patients were the most impaired.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>30643222</pmid><doi>10.1038/s41430-019-0390-4</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-0064-2826</orcidid><oa>free_for_read</oa></addata></record> |
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source | SpringerLink Journals |
subjects | 692/699/1702/295 692/699/1702/393 Age Anxiety Body composition Body fat Body mass index Care and treatment Chronic obstructive pulmonary disease Clinical Nutrition Dyspnea Epidemiology Exercise Fat-free body mass Genetic aspects Internal Medicine Lung diseases, Obstructive Medicine Medicine & Public Health Mental depression Metabolic Diseases Muscle strength Phenotype Phenotypes Physical activity Physical fitness Physical training Physiological aspects Public Health Respiration |
title | Clinical impact of body composition phenotypes in patients with COPD: a retrospective analysis |
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