Cohort profile: China respiratory illness surveillance among pregnant women (CRISP), 2015–2018

PurposeWe established the China Respiratory Illness Surveillance among Pregnant women (CRISP) to conduct active surveillance for influenza-associated respiratory illness during pregnancy in China from 2015 to 2018. Among annual cohorts of pregnant women, we assess the incidence of acute respiratory...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:BMJ open 2018-04, Vol.8 (4), p.e019709-e019709
Hauptverfasser: Chen, Liling, Zhou, Suizan, Zhang, Zhongwei, Wang, Yan, Bao, Lin, Tan, Yayun, Sheng, Falin, Song, Ying, Zhang, Ran, Danielle Iuliano, A, Thompson, Mark G, Greene, Carolyn M, Zhang, Jun
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page e019709
container_issue 4
container_start_page e019709
container_title BMJ open
container_volume 8
creator Chen, Liling
Zhou, Suizan
Zhang, Zhongwei
Wang, Yan
Bao, Lin
Tan, Yayun
Sheng, Falin
Song, Ying
Zhang, Ran
Danielle Iuliano, A
Thompson, Mark G
Greene, Carolyn M
Zhang, Jun
description PurposeWe established the China Respiratory Illness Surveillance among Pregnant women (CRISP) to conduct active surveillance for influenza-associated respiratory illness during pregnancy in China from 2015 to 2018. Among annual cohorts of pregnant women, we assess the incidence of acute respiratory illness (ARI), influenza-like illness (ILI), laboratory-confirmed influenza virus infection and the seroconversion proportion during the winter influenza season. We also plan to examine the effect of influenza virus infection on adverse pregnancy, delivery and infant health outcomes with cumulative data from the three annual cohorts.ParticipantsCohort nurses enrol pregnant women in different trimesters of pregnancy from prenatal care facilities in Suzhou, Jiangsu Province, eastern China. Pregnant women who plan to deliver in the study facilities are eligible. Pregnant women who are seeking care for anything other than routine prenatal care, such as confirmation of low progesterone and threatened miscarriage, are excluded. At enrolment, study nurses collect baseline information on demographics, education-level attained, underlying medical conditions, seasonal influenza vaccination receipt, risk factors for influenza infection, gravidity and parity and contact information. For each participant, cohort nurses conduct twice weekly follow-up contacts, one phone call and one WeChat message (free instant messaging), from the time of enrolment until delivery or termination of pregnancy. During follow-up, study nurses ask about symptoms, timing and characteristics of ARI, healthcare-seeking behaviour and medications taken for participants reporting respiratory illness since the last contact. In addition, we collect combined nasal and throat swabs for identified ARI to test for influenza viruses. We collect paired sera before and after the influenza season. Active respiratory illness surveillance and seroinfection data during pregnancy of participants are linked to their medical record and the Suzhou Maternal Child Information System for detailed information on clinical treatment for respiratory illness, pregnancy, delivery and infant health outcomes.Findings to dateIn 2015–2016, of 4915 pregnant women approached, 192 (4%) refused to participate, 91 (2%) were ineligible because they did not plan to deliver in one of the study hospitals or because their visit was for anything other than routine prenatal care and 4632 (94%) were enrolled, 46% during their first trimester of
doi_str_mv 10.1136/bmjopen-2017-019709
format Article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5931290</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2099494984</sourcerecordid><originalsourceid>FETCH-LOGICAL-b472t-a2ec71e61a7d7be4951cd0084f39b8e471f6f3e883304c95a6f79fd6e9c763613</originalsourceid><addsrcrecordid>eNqNkctq3DAUhkVJSUKaJwgUQTYp1KnusrIIBNNLINDSy1qVPcczHmzJkeyU7PoOfcM-STXMNKRZVVqcI_T9P-fwI3RCyTmlXL2ph3UYwReMUF0QajQxz9AhI0IUiki596g_QMcprUk-Qhop2T46YJmXWqpD9L0KqxAnPMbQdj1c4GrVeYcjpLGLbgrxHnd97yElnOZ4B_nhfAPYDcEvswqW3vkJ_wgDeHxWfb7-8unVa5ynkr9__sqlfIGet65PcLyrR-jbu7dfqw_Fzcf319XVTVELzabCMWg0BUWdXugahJG0WRBSipabugShaataDmXJORGNkU612rQLBabRiivKj9Dl1nec6wEWDfgput6OsRtcvLfBdfbfH9-t7DLcWWk4ZYZkg7OdQQy3M6TJDl1qYLMvhDlZRjjTRhvDM3r6BF2HOfq8XqaMEfmWIlN8SzUxpBShfRiGErsJ0e5CtJsQ7TbErHr5eI8Hzd_IMnC-BbL6vxz_AOSFqGo</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2099494984</pqid></control><display><type>article</type><title>Cohort profile: China respiratory illness surveillance among pregnant women (CRISP), 2015–2018</title><source>BMJ Open Access Journals</source><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>PubMed Central Open Access</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><creator>Chen, Liling ; Zhou, Suizan ; Zhang, Zhongwei ; Wang, Yan ; Bao, Lin ; Tan, Yayun ; Sheng, Falin ; Song, Ying ; Zhang, Ran ; Danielle Iuliano, A ; Thompson, Mark G ; Greene, Carolyn M ; Zhang, Jun</creator><creatorcontrib>Chen, Liling ; Zhou, Suizan ; Zhang, Zhongwei ; Wang, Yan ; Bao, Lin ; Tan, Yayun ; Sheng, Falin ; Song, Ying ; Zhang, Ran ; Danielle Iuliano, A ; Thompson, Mark G ; Greene, Carolyn M ; Zhang, Jun</creatorcontrib><description>PurposeWe established the China Respiratory Illness Surveillance among Pregnant women (CRISP) to conduct active surveillance for influenza-associated respiratory illness during pregnancy in China from 2015 to 2018. Among annual cohorts of pregnant women, we assess the incidence of acute respiratory illness (ARI), influenza-like illness (ILI), laboratory-confirmed influenza virus infection and the seroconversion proportion during the winter influenza season. We also plan to examine the effect of influenza virus infection on adverse pregnancy, delivery and infant health outcomes with cumulative data from the three annual cohorts.ParticipantsCohort nurses enrol pregnant women in different trimesters of pregnancy from prenatal care facilities in Suzhou, Jiangsu Province, eastern China. Pregnant women who plan to deliver in the study facilities are eligible. Pregnant women who are seeking care for anything other than routine prenatal care, such as confirmation of low progesterone and threatened miscarriage, are excluded. At enrolment, study nurses collect baseline information on demographics, education-level attained, underlying medical conditions, seasonal influenza vaccination receipt, risk factors for influenza infection, gravidity and parity and contact information. For each participant, cohort nurses conduct twice weekly follow-up contacts, one phone call and one WeChat message (free instant messaging), from the time of enrolment until delivery or termination of pregnancy. During follow-up, study nurses ask about symptoms, timing and characteristics of ARI, healthcare-seeking behaviour and medications taken for participants reporting respiratory illness since the last contact. In addition, we collect combined nasal and throat swabs for identified ARI to test for influenza viruses. We collect paired sera before and after the influenza season. Active respiratory illness surveillance and seroinfection data during pregnancy of participants are linked to their medical record and the Suzhou Maternal Child Information System for detailed information on clinical treatment for respiratory illness, pregnancy, delivery and infant health outcomes.Findings to dateIn 2015–2016, of 4915 pregnant women approached, 192 (4%) refused to participate, 91 (2%) were ineligible because they did not plan to deliver in one of the study hospitals or because their visit was for anything other than routine prenatal care and 4632 (94%) were enrolled, 46% during their first trimester of pregnancy (range 5–12 weeks), 48% during the second trimester (range 13–27 weeks) and 6% during the third trimester (range 28–37 weeks). The median age of the enrollees was 27 years (range 16–45) and two (0.04%, 95% CI 0.01% to 0.17%) reported influenza vaccination in the previous 12 months before pregnancy, while zero reported influenza vaccination in the previous 12 months during pregnancy. During the observation time of 648 518 person-days, 1355 ARI episodes were identified. Among 1127 swabs collected (for 83% of all ARIs), 68 (6%) tested positive for influenza virus, for a laboratory-confirmed influenza incidence of 0.31 (95% CI 0.25 to 0.40) per 100 person-months during pregnancy in the study cohort.Future plansResults will be used to describe influenza disease burden in this population to model potential numbers of influenza illnesses averted if influenza vaccination coverage were increased and to support enhanced influenza prevention and control strategies among pregnant women in China. We also plan to enrol and follow three cohorts of pregnant women over three influenza seasons during 2015–2018 which will allow an analysis of the effect of influenza virus infection during pregnancy on adverse pregnancy, delivery and infant outcomes.</description><identifier>ISSN: 2044-6055</identifier><identifier>EISSN: 2044-6055</identifier><identifier>DOI: 10.1136/bmjopen-2017-019709</identifier><identifier>PMID: 29705756</identifier><language>eng</language><publisher>England: BMJ Publishing Group LTD</publisher><subject>China - epidemiology ; Cohort Studies ; Epidemiology ; Female ; Humans ; Immunization ; Influenza Vaccines ; Influenza, Human - epidemiology ; Influenza, Human - prevention &amp; control ; Pandemics ; Population Surveillance ; Pregnancy ; Pregnancy Complications, Infectious - epidemiology ; Pregnancy Complications, Infectious - prevention &amp; control ; Respiratory Tract Diseases - epidemiology ; Respiratory Tract Diseases - prevention &amp; control ; Vaccination ; Vaccines ; Womens health</subject><ispartof>BMJ open, 2018-04, Vol.8 (4), p.e019709-e019709</ispartof><rights>Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.</rights><rights>2018 Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted. This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted. 2018</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b472t-a2ec71e61a7d7be4951cd0084f39b8e471f6f3e883304c95a6f79fd6e9c763613</citedby><cites>FETCH-LOGICAL-b472t-a2ec71e61a7d7be4951cd0084f39b8e471f6f3e883304c95a6f79fd6e9c763613</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://bmjopen.bmj.com/content/8/4/e019709.full.pdf$$EPDF$$P50$$Gbmj$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://bmjopen.bmj.com/content/8/4/e019709.full$$EHTML$$P50$$Gbmj$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,27549,27550,27924,27925,53791,53793,77601,77632</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29705756$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Chen, Liling</creatorcontrib><creatorcontrib>Zhou, Suizan</creatorcontrib><creatorcontrib>Zhang, Zhongwei</creatorcontrib><creatorcontrib>Wang, Yan</creatorcontrib><creatorcontrib>Bao, Lin</creatorcontrib><creatorcontrib>Tan, Yayun</creatorcontrib><creatorcontrib>Sheng, Falin</creatorcontrib><creatorcontrib>Song, Ying</creatorcontrib><creatorcontrib>Zhang, Ran</creatorcontrib><creatorcontrib>Danielle Iuliano, A</creatorcontrib><creatorcontrib>Thompson, Mark G</creatorcontrib><creatorcontrib>Greene, Carolyn M</creatorcontrib><creatorcontrib>Zhang, Jun</creatorcontrib><title>Cohort profile: China respiratory illness surveillance among pregnant women (CRISP), 2015–2018</title><title>BMJ open</title><addtitle>BMJ Open</addtitle><description>PurposeWe established the China Respiratory Illness Surveillance among Pregnant women (CRISP) to conduct active surveillance for influenza-associated respiratory illness during pregnancy in China from 2015 to 2018. Among annual cohorts of pregnant women, we assess the incidence of acute respiratory illness (ARI), influenza-like illness (ILI), laboratory-confirmed influenza virus infection and the seroconversion proportion during the winter influenza season. We also plan to examine the effect of influenza virus infection on adverse pregnancy, delivery and infant health outcomes with cumulative data from the three annual cohorts.ParticipantsCohort nurses enrol pregnant women in different trimesters of pregnancy from prenatal care facilities in Suzhou, Jiangsu Province, eastern China. Pregnant women who plan to deliver in the study facilities are eligible. Pregnant women who are seeking care for anything other than routine prenatal care, such as confirmation of low progesterone and threatened miscarriage, are excluded. At enrolment, study nurses collect baseline information on demographics, education-level attained, underlying medical conditions, seasonal influenza vaccination receipt, risk factors for influenza infection, gravidity and parity and contact information. For each participant, cohort nurses conduct twice weekly follow-up contacts, one phone call and one WeChat message (free instant messaging), from the time of enrolment until delivery or termination of pregnancy. During follow-up, study nurses ask about symptoms, timing and characteristics of ARI, healthcare-seeking behaviour and medications taken for participants reporting respiratory illness since the last contact. In addition, we collect combined nasal and throat swabs for identified ARI to test for influenza viruses. We collect paired sera before and after the influenza season. Active respiratory illness surveillance and seroinfection data during pregnancy of participants are linked to their medical record and the Suzhou Maternal Child Information System for detailed information on clinical treatment for respiratory illness, pregnancy, delivery and infant health outcomes.Findings to dateIn 2015–2016, of 4915 pregnant women approached, 192 (4%) refused to participate, 91 (2%) were ineligible because they did not plan to deliver in one of the study hospitals or because their visit was for anything other than routine prenatal care and 4632 (94%) were enrolled, 46% during their first trimester of pregnancy (range 5–12 weeks), 48% during the second trimester (range 13–27 weeks) and 6% during the third trimester (range 28–37 weeks). The median age of the enrollees was 27 years (range 16–45) and two (0.04%, 95% CI 0.01% to 0.17%) reported influenza vaccination in the previous 12 months before pregnancy, while zero reported influenza vaccination in the previous 12 months during pregnancy. During the observation time of 648 518 person-days, 1355 ARI episodes were identified. Among 1127 swabs collected (for 83% of all ARIs), 68 (6%) tested positive for influenza virus, for a laboratory-confirmed influenza incidence of 0.31 (95% CI 0.25 to 0.40) per 100 person-months during pregnancy in the study cohort.Future plansResults will be used to describe influenza disease burden in this population to model potential numbers of influenza illnesses averted if influenza vaccination coverage were increased and to support enhanced influenza prevention and control strategies among pregnant women in China. We also plan to enrol and follow three cohorts of pregnant women over three influenza seasons during 2015–2018 which will allow an analysis of the effect of influenza virus infection during pregnancy on adverse pregnancy, delivery and infant outcomes.</description><subject>China - epidemiology</subject><subject>Cohort Studies</subject><subject>Epidemiology</subject><subject>Female</subject><subject>Humans</subject><subject>Immunization</subject><subject>Influenza Vaccines</subject><subject>Influenza, Human - epidemiology</subject><subject>Influenza, Human - prevention &amp; control</subject><subject>Pandemics</subject><subject>Population Surveillance</subject><subject>Pregnancy</subject><subject>Pregnancy Complications, Infectious - epidemiology</subject><subject>Pregnancy Complications, Infectious - prevention &amp; control</subject><subject>Respiratory Tract Diseases - epidemiology</subject><subject>Respiratory Tract Diseases - prevention &amp; control</subject><subject>Vaccination</subject><subject>Vaccines</subject><subject>Womens health</subject><issn>2044-6055</issn><issn>2044-6055</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>9YT</sourceid><sourceid>ACMMV</sourceid><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqNkctq3DAUhkVJSUKaJwgUQTYp1KnusrIIBNNLINDSy1qVPcczHmzJkeyU7PoOfcM-STXMNKRZVVqcI_T9P-fwI3RCyTmlXL2ph3UYwReMUF0QajQxz9AhI0IUiki596g_QMcprUk-Qhop2T46YJmXWqpD9L0KqxAnPMbQdj1c4GrVeYcjpLGLbgrxHnd97yElnOZ4B_nhfAPYDcEvswqW3vkJ_wgDeHxWfb7-8unVa5ynkr9__sqlfIGet65PcLyrR-jbu7dfqw_Fzcf319XVTVELzabCMWg0BUWdXugahJG0WRBSipabugShaataDmXJORGNkU612rQLBabRiivKj9Dl1nec6wEWDfgput6OsRtcvLfBdfbfH9-t7DLcWWk4ZYZkg7OdQQy3M6TJDl1qYLMvhDlZRjjTRhvDM3r6BF2HOfq8XqaMEfmWIlN8SzUxpBShfRiGErsJ0e5CtJsQ7TbErHr5eI8Hzd_IMnC-BbL6vxz_AOSFqGo</recordid><startdate>20180401</startdate><enddate>20180401</enddate><creator>Chen, Liling</creator><creator>Zhou, Suizan</creator><creator>Zhang, Zhongwei</creator><creator>Wang, Yan</creator><creator>Bao, Lin</creator><creator>Tan, Yayun</creator><creator>Sheng, Falin</creator><creator>Song, Ying</creator><creator>Zhang, Ran</creator><creator>Danielle Iuliano, A</creator><creator>Thompson, Mark G</creator><creator>Greene, Carolyn M</creator><creator>Zhang, Jun</creator><general>BMJ Publishing Group LTD</general><general>BMJ Publishing Group</general><scope>9YT</scope><scope>ACMMV</scope><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>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BTHHO</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>K9-</scope><scope>K9.</scope><scope>KB0</scope><scope>M0R</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>NAPCQ</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20180401</creationdate><title>Cohort profile: China respiratory illness surveillance among pregnant women (CRISP), 2015–2018</title><author>Chen, Liling ; Zhou, Suizan ; Zhang, Zhongwei ; Wang, Yan ; Bao, Lin ; Tan, Yayun ; Sheng, Falin ; Song, Ying ; Zhang, Ran ; Danielle Iuliano, A ; Thompson, Mark G ; Greene, Carolyn M ; Zhang, Jun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b472t-a2ec71e61a7d7be4951cd0084f39b8e471f6f3e883304c95a6f79fd6e9c763613</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>China - epidemiology</topic><topic>Cohort Studies</topic><topic>Epidemiology</topic><topic>Female</topic><topic>Humans</topic><topic>Immunization</topic><topic>Influenza Vaccines</topic><topic>Influenza, Human - epidemiology</topic><topic>Influenza, Human - prevention &amp; control</topic><topic>Pandemics</topic><topic>Population Surveillance</topic><topic>Pregnancy</topic><topic>Pregnancy Complications, Infectious - epidemiology</topic><topic>Pregnancy Complications, Infectious - prevention &amp; control</topic><topic>Respiratory Tract Diseases - epidemiology</topic><topic>Respiratory Tract Diseases - prevention &amp; control</topic><topic>Vaccination</topic><topic>Vaccines</topic><topic>Womens health</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chen, Liling</creatorcontrib><creatorcontrib>Zhou, Suizan</creatorcontrib><creatorcontrib>Zhang, Zhongwei</creatorcontrib><creatorcontrib>Wang, Yan</creatorcontrib><creatorcontrib>Bao, Lin</creatorcontrib><creatorcontrib>Tan, Yayun</creatorcontrib><creatorcontrib>Sheng, Falin</creatorcontrib><creatorcontrib>Song, Ying</creatorcontrib><creatorcontrib>Zhang, Ran</creatorcontrib><creatorcontrib>Danielle Iuliano, A</creatorcontrib><creatorcontrib>Thompson, Mark G</creatorcontrib><creatorcontrib>Greene, Carolyn M</creatorcontrib><creatorcontrib>Zhang, Jun</creatorcontrib><collection>BMJ Open Access Journals</collection><collection>BMJ Journals:Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing &amp; Allied Health Database</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</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>BMJ Journals</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>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>Consumer Health Database</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Psychology Database</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>Publicly Available Content Database</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>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>BMJ open</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chen, Liling</au><au>Zhou, Suizan</au><au>Zhang, Zhongwei</au><au>Wang, Yan</au><au>Bao, Lin</au><au>Tan, Yayun</au><au>Sheng, Falin</au><au>Song, Ying</au><au>Zhang, Ran</au><au>Danielle Iuliano, A</au><au>Thompson, Mark G</au><au>Greene, Carolyn M</au><au>Zhang, Jun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Cohort profile: China respiratory illness surveillance among pregnant women (CRISP), 2015–2018</atitle><jtitle>BMJ open</jtitle><addtitle>BMJ Open</addtitle><date>2018-04-01</date><risdate>2018</risdate><volume>8</volume><issue>4</issue><spage>e019709</spage><epage>e019709</epage><pages>e019709-e019709</pages><issn>2044-6055</issn><eissn>2044-6055</eissn><abstract>PurposeWe established the China Respiratory Illness Surveillance among Pregnant women (CRISP) to conduct active surveillance for influenza-associated respiratory illness during pregnancy in China from 2015 to 2018. Among annual cohorts of pregnant women, we assess the incidence of acute respiratory illness (ARI), influenza-like illness (ILI), laboratory-confirmed influenza virus infection and the seroconversion proportion during the winter influenza season. We also plan to examine the effect of influenza virus infection on adverse pregnancy, delivery and infant health outcomes with cumulative data from the three annual cohorts.ParticipantsCohort nurses enrol pregnant women in different trimesters of pregnancy from prenatal care facilities in Suzhou, Jiangsu Province, eastern China. Pregnant women who plan to deliver in the study facilities are eligible. Pregnant women who are seeking care for anything other than routine prenatal care, such as confirmation of low progesterone and threatened miscarriage, are excluded. At enrolment, study nurses collect baseline information on demographics, education-level attained, underlying medical conditions, seasonal influenza vaccination receipt, risk factors for influenza infection, gravidity and parity and contact information. For each participant, cohort nurses conduct twice weekly follow-up contacts, one phone call and one WeChat message (free instant messaging), from the time of enrolment until delivery or termination of pregnancy. During follow-up, study nurses ask about symptoms, timing and characteristics of ARI, healthcare-seeking behaviour and medications taken for participants reporting respiratory illness since the last contact. In addition, we collect combined nasal and throat swabs for identified ARI to test for influenza viruses. We collect paired sera before and after the influenza season. Active respiratory illness surveillance and seroinfection data during pregnancy of participants are linked to their medical record and the Suzhou Maternal Child Information System for detailed information on clinical treatment for respiratory illness, pregnancy, delivery and infant health outcomes.Findings to dateIn 2015–2016, of 4915 pregnant women approached, 192 (4%) refused to participate, 91 (2%) were ineligible because they did not plan to deliver in one of the study hospitals or because their visit was for anything other than routine prenatal care and 4632 (94%) were enrolled, 46% during their first trimester of pregnancy (range 5–12 weeks), 48% during the second trimester (range 13–27 weeks) and 6% during the third trimester (range 28–37 weeks). The median age of the enrollees was 27 years (range 16–45) and two (0.04%, 95% CI 0.01% to 0.17%) reported influenza vaccination in the previous 12 months before pregnancy, while zero reported influenza vaccination in the previous 12 months during pregnancy. During the observation time of 648 518 person-days, 1355 ARI episodes were identified. Among 1127 swabs collected (for 83% of all ARIs), 68 (6%) tested positive for influenza virus, for a laboratory-confirmed influenza incidence of 0.31 (95% CI 0.25 to 0.40) per 100 person-months during pregnancy in the study cohort.Future plansResults will be used to describe influenza disease burden in this population to model potential numbers of influenza illnesses averted if influenza vaccination coverage were increased and to support enhanced influenza prevention and control strategies among pregnant women in China. We also plan to enrol and follow three cohorts of pregnant women over three influenza seasons during 2015–2018 which will allow an analysis of the effect of influenza virus infection during pregnancy on adverse pregnancy, delivery and infant outcomes.</abstract><cop>England</cop><pub>BMJ Publishing Group LTD</pub><pmid>29705756</pmid><doi>10.1136/bmjopen-2017-019709</doi><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2044-6055
ispartof BMJ open, 2018-04, Vol.8 (4), p.e019709-e019709
issn 2044-6055
2044-6055
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5931290
source BMJ Open Access Journals; MEDLINE; DOAJ Directory of Open Access Journals; PubMed Central Open Access; EZB-FREE-00999 freely available EZB journals; PubMed Central
subjects China - epidemiology
Cohort Studies
Epidemiology
Female
Humans
Immunization
Influenza Vaccines
Influenza, Human - epidemiology
Influenza, Human - prevention & control
Pandemics
Population Surveillance
Pregnancy
Pregnancy Complications, Infectious - epidemiology
Pregnancy Complications, Infectious - prevention & control
Respiratory Tract Diseases - epidemiology
Respiratory Tract Diseases - prevention & control
Vaccination
Vaccines
Womens health
title Cohort profile: China respiratory illness surveillance among pregnant women (CRISP), 2015–2018
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-30T22%3A57%3A24IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Cohort%20profile:%20China%20respiratory%20illness%20surveillance%20among%20pregnant%20women%20(CRISP),%202015%E2%80%932018&rft.jtitle=BMJ%20open&rft.au=Chen,%20Liling&rft.date=2018-04-01&rft.volume=8&rft.issue=4&rft.spage=e019709&rft.epage=e019709&rft.pages=e019709-e019709&rft.issn=2044-6055&rft.eissn=2044-6055&rft_id=info:doi/10.1136/bmjopen-2017-019709&rft_dat=%3Cproquest_pubme%3E2099494984%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2099494984&rft_id=info:pmid/29705756&rfr_iscdi=true