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Adolescents with Persistent Symptoms Following Acute SARS-CoV-2 Infection (Long-COVID): Symptom Profile, Clustering and Follow-Up Symptom Evaluation
Few studies have evaluated long-COVID in adolescents. Cohort study. Demographics, clinical data, and the presence of 30 symptoms were collected with a modified WHO form. Mean values were compared by Student's test and proportions by the chi-square test or Fisher test, with trends over time anal...
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Published in: | Children (Basel) 2024-12, Vol.12 (1), p.28 |
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creator | Floridia, Marco Buonsenso, Danilo Macculi, Laura Weimer, Liliana Elena Giuliano, Marina Pricci, Flavia Bianchi, Leila Toraldo, Domenico Maurizio Onder, Graziano The Iss Long-Covid Study Group |
description | Few studies have evaluated long-COVID in adolescents.
Cohort study. Demographics, clinical data, and the presence of 30 symptoms were collected with a modified WHO form. Mean values were compared by Student's
test and proportions by the chi-square test or Fisher test, with trends over time analysed using the chi-square test for trend. Potential risk factors independently associated with persisting symptoms were evaluated in a multivariable logistic regression model. Clustering of cases was analysed by two-step automatic clustering.
A total of 97 adolescents aged 12-17 (54.6% females, 45.4% males) were evaluated. After a mean interval of 96 days (SD 52) from acute infection, the mean number of symptoms (2.8 overall) was higher for pre-Omicron (3.2 vs. 2.5 in Omicron,
= 0.046) and moderate/severe acute infections (4.2 vs. 2.7 in mild,
= 0.023). Fatigue (62.9%) and dyspnea (43.3%) were the most common symptoms, followed by headache (28.9%), thoracic pain (22.7%), diarrhea (20.6%), palpitations/tachycardia (17.5%), articular pain (15.5%), difficult concentration (14.4%), muscle pain (12.4%), taste reduction (8.2%), smell reduction (8.2%), fever (6.2%), and skin disorders (5.2%). The symptom profile was similar in males and females but showed significant differences from that observed in concurrently followed adults. After a mean interval of 340 days from infection, 45.3% still presented symptoms, with persistence associated with higher number of initial symptoms. Two clusters were defined that differed in the phase of acute infection and the number and profile of symptoms.
Long-COVID manifestations in adolescents may differ from those observed in adults. Polisymptomaticity may predict long-term persistence. |
doi_str_mv | 10.3390/children12010028 |
format | article |
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Cohort study. Demographics, clinical data, and the presence of 30 symptoms were collected with a modified WHO form. Mean values were compared by Student's
test and proportions by the chi-square test or Fisher test, with trends over time analysed using the chi-square test for trend. Potential risk factors independently associated with persisting symptoms were evaluated in a multivariable logistic regression model. Clustering of cases was analysed by two-step automatic clustering.
A total of 97 adolescents aged 12-17 (54.6% females, 45.4% males) were evaluated. After a mean interval of 96 days (SD 52) from acute infection, the mean number of symptoms (2.8 overall) was higher for pre-Omicron (3.2 vs. 2.5 in Omicron,
= 0.046) and moderate/severe acute infections (4.2 vs. 2.7 in mild,
= 0.023). Fatigue (62.9%) and dyspnea (43.3%) were the most common symptoms, followed by headache (28.9%), thoracic pain (22.7%), diarrhea (20.6%), palpitations/tachycardia (17.5%), articular pain (15.5%), difficult concentration (14.4%), muscle pain (12.4%), taste reduction (8.2%), smell reduction (8.2%), fever (6.2%), and skin disorders (5.2%). The symptom profile was similar in males and females but showed significant differences from that observed in concurrently followed adults. After a mean interval of 340 days from infection, 45.3% still presented symptoms, with persistence associated with higher number of initial symptoms. Two clusters were defined that differed in the phase of acute infection and the number and profile of symptoms.
Long-COVID manifestations in adolescents may differ from those observed in adults. Polisymptomaticity may predict long-term persistence.</description><identifier>ISSN: 2227-9067</identifier><identifier>EISSN: 2227-9067</identifier><identifier>DOI: 10.3390/children12010028</identifier><identifier>PMID: 39857859</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>adolescents ; Asthma ; Chi-square test ; Children & youth ; Cluster analysis ; COVID-19 ; COVID-19 vaccines ; Data collection ; Disease ; Dyspnea ; Females ; Immunization ; Infections ; long-COVID ; Pain ; Pandemics ; Patients ; Pediatrics ; post-COVID ; Severe acute respiratory syndrome coronavirus 2 ; symptom clusters ; symptoms ; Teenagers ; Trends ; Variables</subject><ispartof>Children (Basel), 2024-12, Vol.12 (1), p.28</ispartof><rights>2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2024 by the authors. 2024</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c332t-f0549b678ebb28a0ce39e2bbd244e767603f4c8d2afa0f767b9795a4ec4ed603</cites><orcidid>0000-0001-8567-2639 ; 0000-0003-0305-7291 ; 0000-0003-3971-0141 ; 0000-0003-3400-4491 ; 0009-0005-9997-0385 ; 0000-0003-0023-0212 ; 0000-0003-2789-7797</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/3159390277/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/3159390277?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,25731,27901,27902,36989,36990,38493,43871,44566,53766,53768,74382,75096</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39857859$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Floridia, Marco</creatorcontrib><creatorcontrib>Buonsenso, Danilo</creatorcontrib><creatorcontrib>Macculi, Laura</creatorcontrib><creatorcontrib>Weimer, Liliana Elena</creatorcontrib><creatorcontrib>Giuliano, Marina</creatorcontrib><creatorcontrib>Pricci, Flavia</creatorcontrib><creatorcontrib>Bianchi, Leila</creatorcontrib><creatorcontrib>Toraldo, Domenico Maurizio</creatorcontrib><creatorcontrib>Onder, Graziano</creatorcontrib><creatorcontrib>The Iss Long-Covid Study Group</creatorcontrib><creatorcontrib>The ISS Long-COVID Study Group</creatorcontrib><title>Adolescents with Persistent Symptoms Following Acute SARS-CoV-2 Infection (Long-COVID): Symptom Profile, Clustering and Follow-Up Symptom Evaluation</title><title>Children (Basel)</title><addtitle>Children (Basel)</addtitle><description>Few studies have evaluated long-COVID in adolescents.
Cohort study. Demographics, clinical data, and the presence of 30 symptoms were collected with a modified WHO form. Mean values were compared by Student's
test and proportions by the chi-square test or Fisher test, with trends over time analysed using the chi-square test for trend. Potential risk factors independently associated with persisting symptoms were evaluated in a multivariable logistic regression model. Clustering of cases was analysed by two-step automatic clustering.
A total of 97 adolescents aged 12-17 (54.6% females, 45.4% males) were evaluated. After a mean interval of 96 days (SD 52) from acute infection, the mean number of symptoms (2.8 overall) was higher for pre-Omicron (3.2 vs. 2.5 in Omicron,
= 0.046) and moderate/severe acute infections (4.2 vs. 2.7 in mild,
= 0.023). Fatigue (62.9%) and dyspnea (43.3%) were the most common symptoms, followed by headache (28.9%), thoracic pain (22.7%), diarrhea (20.6%), palpitations/tachycardia (17.5%), articular pain (15.5%), difficult concentration (14.4%), muscle pain (12.4%), taste reduction (8.2%), smell reduction (8.2%), fever (6.2%), and skin disorders (5.2%). The symptom profile was similar in males and females but showed significant differences from that observed in concurrently followed adults. After a mean interval of 340 days from infection, 45.3% still presented symptoms, with persistence associated with higher number of initial symptoms. Two clusters were defined that differed in the phase of acute infection and the number and profile of symptoms.
Long-COVID manifestations in adolescents may differ from those observed in adults. Polisymptomaticity may predict long-term persistence.</description><subject>adolescents</subject><subject>Asthma</subject><subject>Chi-square test</subject><subject>Children & youth</subject><subject>Cluster analysis</subject><subject>COVID-19</subject><subject>COVID-19 vaccines</subject><subject>Data collection</subject><subject>Disease</subject><subject>Dyspnea</subject><subject>Females</subject><subject>Immunization</subject><subject>Infections</subject><subject>long-COVID</subject><subject>Pain</subject><subject>Pandemics</subject><subject>Patients</subject><subject>Pediatrics</subject><subject>post-COVID</subject><subject>Severe acute respiratory syndrome coronavirus 2</subject><subject>symptom clusters</subject><subject>symptoms</subject><subject>Teenagers</subject><subject>Trends</subject><subject>Variables</subject><issn>2227-9067</issn><issn>2227-9067</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>COVID</sourceid><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpdkl9v0zAUxSMEYtPYO0_IEi9DIuA_SWzzgqqwQaVKm-jYq-U4TuvKsYudbNr34APjrF217cW2zj33J_v6ZNl7BL8QwuFXtTa2DdohDBGEmL3KjjHGNOewoq-fnI-y0xg3EEJEcIkZfZsdEc5Kykp-nP2btd7qqLQbIrgzwxpc6RBNHJIAlvf9dvB9BBfeWn9n3ArM1DhosJz9Xua1v8kxmLtOq8F4B84W3q3y-vJm_uPTt8decBV8Z6z-DGo7JmqYINK1e2T-Z3twnt9KO8oJ9S5700kb9el-P8muL86v61_54vLnvJ4tckUIHvIOlgVvKsp002AmodKEa9w0LS4KTStaQdIVirVYdhJ2SWg45aUstCp0m4on2XyHbb3ciG0wvQz3wksjHgQfVkKGwSirBWkQpkVboAqpIs1RIo7TQpqSSYmkSqzvO9Z2bHrdTvMM0j6DPq84sxYrfysQohWhmCXC2Z4Q_N9Rx0H0Jv2LtdJpP0ZBUMkZRMmfrB9fWDd-DC6N6sGVwoHp5II7lwo-xqC7w20QFFOCxMsEpZYPT19xaHjMC_kP90_EGA</recordid><startdate>20241227</startdate><enddate>20241227</enddate><creator>Floridia, Marco</creator><creator>Buonsenso, Danilo</creator><creator>Macculi, Laura</creator><creator>Weimer, Liliana Elena</creator><creator>Giuliano, Marina</creator><creator>Pricci, Flavia</creator><creator>Bianchi, Leila</creator><creator>Toraldo, Domenico Maurizio</creator><creator>Onder, Graziano</creator><creator>The Iss Long-Covid Study Group</creator><general>MDPI AG</general><general>MDPI</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>NAPCQ</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PIMPY</scope><scope>PKEHL</scope><scope>PPXIY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-8567-2639</orcidid><orcidid>https://orcid.org/0000-0003-0305-7291</orcidid><orcidid>https://orcid.org/0000-0003-3971-0141</orcidid><orcidid>https://orcid.org/0000-0003-3400-4491</orcidid><orcidid>https://orcid.org/0009-0005-9997-0385</orcidid><orcidid>https://orcid.org/0000-0003-0023-0212</orcidid><orcidid>https://orcid.org/0000-0003-2789-7797</orcidid></search><sort><creationdate>20241227</creationdate><title>Adolescents with Persistent Symptoms Following Acute SARS-CoV-2 Infection (Long-COVID): Symptom Profile, Clustering and Follow-Up Symptom Evaluation</title><author>Floridia, Marco ; Buonsenso, Danilo ; Macculi, Laura ; Weimer, Liliana Elena ; Giuliano, Marina ; Pricci, Flavia ; Bianchi, Leila ; Toraldo, Domenico Maurizio ; Onder, Graziano ; The Iss Long-Covid Study Group</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c332t-f0549b678ebb28a0ce39e2bbd244e767603f4c8d2afa0f767b9795a4ec4ed603</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>adolescents</topic><topic>Asthma</topic><topic>Chi-square test</topic><topic>Children & youth</topic><topic>Cluster analysis</topic><topic>COVID-19</topic><topic>COVID-19 vaccines</topic><topic>Data collection</topic><topic>Disease</topic><topic>Dyspnea</topic><topic>Females</topic><topic>Immunization</topic><topic>Infections</topic><topic>long-COVID</topic><topic>Pain</topic><topic>Pandemics</topic><topic>Patients</topic><topic>Pediatrics</topic><topic>post-COVID</topic><topic>Severe acute respiratory syndrome coronavirus 2</topic><topic>symptom clusters</topic><topic>symptoms</topic><topic>Teenagers</topic><topic>Trends</topic><topic>Variables</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Floridia, Marco</creatorcontrib><creatorcontrib>Buonsenso, Danilo</creatorcontrib><creatorcontrib>Macculi, Laura</creatorcontrib><creatorcontrib>Weimer, Liliana Elena</creatorcontrib><creatorcontrib>Giuliano, Marina</creatorcontrib><creatorcontrib>Pricci, Flavia</creatorcontrib><creatorcontrib>Bianchi, Leila</creatorcontrib><creatorcontrib>Toraldo, Domenico Maurizio</creatorcontrib><creatorcontrib>Onder, Graziano</creatorcontrib><creatorcontrib>The Iss Long-Covid Study Group</creatorcontrib><creatorcontrib>The ISS Long-COVID Study Group</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest Central (New)</collection><collection>ProQuest One Academic (New)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Middle East (New)</collection><collection>ProQuest One Health & Nursing</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 China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Children (Basel)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Floridia, Marco</au><au>Buonsenso, Danilo</au><au>Macculi, Laura</au><au>Weimer, Liliana Elena</au><au>Giuliano, Marina</au><au>Pricci, Flavia</au><au>Bianchi, Leila</au><au>Toraldo, Domenico Maurizio</au><au>Onder, Graziano</au><au>The Iss Long-Covid Study Group</au><aucorp>The ISS Long-COVID Study Group</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Adolescents with Persistent Symptoms Following Acute SARS-CoV-2 Infection (Long-COVID): Symptom Profile, Clustering and Follow-Up Symptom Evaluation</atitle><jtitle>Children (Basel)</jtitle><addtitle>Children (Basel)</addtitle><date>2024-12-27</date><risdate>2024</risdate><volume>12</volume><issue>1</issue><spage>28</spage><pages>28-</pages><issn>2227-9067</issn><eissn>2227-9067</eissn><abstract>Few studies have evaluated long-COVID in adolescents.
Cohort study. Demographics, clinical data, and the presence of 30 symptoms were collected with a modified WHO form. Mean values were compared by Student's
test and proportions by the chi-square test or Fisher test, with trends over time analysed using the chi-square test for trend. Potential risk factors independently associated with persisting symptoms were evaluated in a multivariable logistic regression model. Clustering of cases was analysed by two-step automatic clustering.
A total of 97 adolescents aged 12-17 (54.6% females, 45.4% males) were evaluated. After a mean interval of 96 days (SD 52) from acute infection, the mean number of symptoms (2.8 overall) was higher for pre-Omicron (3.2 vs. 2.5 in Omicron,
= 0.046) and moderate/severe acute infections (4.2 vs. 2.7 in mild,
= 0.023). Fatigue (62.9%) and dyspnea (43.3%) were the most common symptoms, followed by headache (28.9%), thoracic pain (22.7%), diarrhea (20.6%), palpitations/tachycardia (17.5%), articular pain (15.5%), difficult concentration (14.4%), muscle pain (12.4%), taste reduction (8.2%), smell reduction (8.2%), fever (6.2%), and skin disorders (5.2%). The symptom profile was similar in males and females but showed significant differences from that observed in concurrently followed adults. After a mean interval of 340 days from infection, 45.3% still presented symptoms, with persistence associated with higher number of initial symptoms. Two clusters were defined that differed in the phase of acute infection and the number and profile of symptoms.
Long-COVID manifestations in adolescents may differ from those observed in adults. Polisymptomaticity may predict long-term persistence.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>39857859</pmid><doi>10.3390/children12010028</doi><orcidid>https://orcid.org/0000-0001-8567-2639</orcidid><orcidid>https://orcid.org/0000-0003-0305-7291</orcidid><orcidid>https://orcid.org/0000-0003-3971-0141</orcidid><orcidid>https://orcid.org/0000-0003-3400-4491</orcidid><orcidid>https://orcid.org/0009-0005-9997-0385</orcidid><orcidid>https://orcid.org/0000-0003-0023-0212</orcidid><orcidid>https://orcid.org/0000-0003-2789-7797</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | adolescents Asthma Chi-square test Children & youth Cluster analysis COVID-19 COVID-19 vaccines Data collection Disease Dyspnea Females Immunization Infections long-COVID Pain Pandemics Patients Pediatrics post-COVID Severe acute respiratory syndrome coronavirus 2 symptom clusters symptoms Teenagers Trends Variables |
title | Adolescents with Persistent Symptoms Following Acute SARS-CoV-2 Infection (Long-COVID): Symptom Profile, Clustering and Follow-Up Symptom Evaluation |
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