Loading…
Predicting postpartum haemorrhage: A systematic review of prognostic models
Background Postpartum haemorrhage (PPH) remains a leading cause of maternal mortality and morbidity worldwide, and the rate is increasing. Using a reliable predictive model could identify those at risk, support management and treatment, and improve maternal outcomes. Aims To systematically identify...
Saved in:
| Published in: | Australian & New Zealand journal of obstetrics & gynaecology 2022-12, Vol.62 (6), p.813-825 |
|---|---|
| Main Authors: | , , , , , |
| Format: | Article |
| Language: | English |
| Subjects: | |
| Citations: | Items that this one cites Items that cite this one |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| cited_by | cdi_FETCH-LOGICAL-c4169-faf51723a827ea7dbd5dbd5f398437c4f252d1419457e93aa342e4bbe0adab673 |
|---|---|
| cites | cdi_FETCH-LOGICAL-c4169-faf51723a827ea7dbd5dbd5f398437c4f252d1419457e93aa342e4bbe0adab673 |
| container_end_page | 825 |
| container_issue | 6 |
| container_start_page | 813 |
| container_title | Australian & New Zealand journal of obstetrics & gynaecology |
| container_volume | 62 |
| creator | Carr, Bethany L. Jahangirifar, Maryam Nicholson, Ann E. Li, Wentao Mol, Ben W. Licqurish, Sharon |
| description | Background
Postpartum haemorrhage (PPH) remains a leading cause of maternal mortality and morbidity worldwide, and the rate is increasing. Using a reliable predictive model could identify those at risk, support management and treatment, and improve maternal outcomes.
Aims
To systematically identify and appraise existing prognostic models for PPH and ascertain suitability for clinical use.
Materials and Methods
MEDLINE, CINAHL, Embase, and the Cochrane Library were searched using combinations of terms and synonyms, including ‘postpartum haemorrhage’, ‘prognostic model’, and ‘risk factors’. Observational or experimental studies describing a prognostic model for risk of PPH, published in English, were included. The Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies checklist informed data extraction and the Prediction Model Risk of Bias Assessment Tool guided analysis.
Results
Sixteen studies met the inclusion criteria after screening 1612 records. All studies were hospital settings from eight different countries. Models were developed for women who experienced vaginal birth (n = 7), caesarean birth (n = 2), any type of birth (n = 2), hypertensive disorders (n = 1) and those with placental abnormalities (n = 4). All studies were at high risk of bias due to use of inappropriate analysis methods or omission of important statistical considerations or suboptimal validation.
Conclusions
No existing prognostic models for PPH are ready for clinical application. Future research is needed to externally validate existing models and potentially develop a new model that is reliable and applicable to clinical practice. |
| doi_str_mv | 10.1111/ajo.13599 |
| format | article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10087871</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2697673343</sourcerecordid><originalsourceid>FETCH-LOGICAL-c4169-faf51723a827ea7dbd5dbd5f398437c4f252d1419457e93aa342e4bbe0adab673</originalsourceid><addsrcrecordid>eNp1kE1P3DAQhq2qiF0oB_4AyrEcAnbsxDaXaoX4LNL20Eq9WZNksutVEgc7C9p_j2G3iB6wNLI08_gZ6yXkmNEzFs85rNwZ47nWX8iUCalTlam_X8mUUipSVRTFhByEsKKU6ZyJfTKJLFNMqSn5-ctjbavR9otkcGEcwI_rLlkCds77JSzwIpklYRNG7GC0VeLxyeJz4ppk8G7Rxyex2bka2_CN7DXQBjza3Yfkz_XV78vb9GF-c3c5e0grwQqdNtDkTGYcVCYRZF3W-Ws1XCvBZSWaLM9qJpgWuUTNAbjIUJQlUqihLCQ_JD-23mFddlhX2I8eWjN424HfGAfW_D_p7dIs3JNhlCqpJIuG7zuDd49rDKPpbKiwbaFHtw4mK7SMi7jgET3dopV3IXhs3vcwal7TNzF985Z-ZE8-fuyd_Bd3BM63wLNtcfO5yczu51vlC-3CkSQ</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2697673343</pqid></control><display><type>article</type><title>Predicting postpartum haemorrhage: A systematic review of prognostic models</title><source>Wiley</source><creator>Carr, Bethany L. ; Jahangirifar, Maryam ; Nicholson, Ann E. ; Li, Wentao ; Mol, Ben W. ; Licqurish, Sharon</creator><creatorcontrib>Carr, Bethany L. ; Jahangirifar, Maryam ; Nicholson, Ann E. ; Li, Wentao ; Mol, Ben W. ; Licqurish, Sharon</creatorcontrib><description>Background
Postpartum haemorrhage (PPH) remains a leading cause of maternal mortality and morbidity worldwide, and the rate is increasing. Using a reliable predictive model could identify those at risk, support management and treatment, and improve maternal outcomes.
Aims
To systematically identify and appraise existing prognostic models for PPH and ascertain suitability for clinical use.
Materials and Methods
MEDLINE, CINAHL, Embase, and the Cochrane Library were searched using combinations of terms and synonyms, including ‘postpartum haemorrhage’, ‘prognostic model’, and ‘risk factors’. Observational or experimental studies describing a prognostic model for risk of PPH, published in English, were included. The Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies checklist informed data extraction and the Prediction Model Risk of Bias Assessment Tool guided analysis.
Results
Sixteen studies met the inclusion criteria after screening 1612 records. All studies were hospital settings from eight different countries. Models were developed for women who experienced vaginal birth (n = 7), caesarean birth (n = 2), any type of birth (n = 2), hypertensive disorders (n = 1) and those with placental abnormalities (n = 4). All studies were at high risk of bias due to use of inappropriate analysis methods or omission of important statistical considerations or suboptimal validation.
Conclusions
No existing prognostic models for PPH are ready for clinical application. Future research is needed to externally validate existing models and potentially develop a new model that is reliable and applicable to clinical practice.</description><identifier>ISSN: 0004-8666</identifier><identifier>EISSN: 1479-828X</identifier><identifier>DOI: 10.1111/ajo.13599</identifier><identifier>PMID: 35918188</identifier><language>eng</language><publisher>Australia: John Wiley and Sons Inc</publisher><subject>Female ; Humans ; maternal mortality ; Placenta ; postpartum haemorrhage ; Postpartum Hemorrhage - drug therapy ; Postpartum Hemorrhage - therapy ; Postpartum Period ; Pregnancy ; Prognosis ; risk factors ; Systematic Review</subject><ispartof>Australian & New Zealand journal of obstetrics & gynaecology, 2022-12, Vol.62 (6), p.813-825</ispartof><rights>2022 The Authors. published by John Wiley & Sons Australia, Ltd on behalf of Royal Australian and New Zealand College of Obstetricians and Gynaecologists.</rights><rights>2022 The Authors. Australian and New Zealand Journal of Obstetrics and Gynaecology published by John Wiley & Sons Australia, Ltd on behalf of Royal Australian and New Zealand College of Obstetricians and Gynaecologists.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4169-faf51723a827ea7dbd5dbd5f398437c4f252d1419457e93aa342e4bbe0adab673</citedby><cites>FETCH-LOGICAL-c4169-faf51723a827ea7dbd5dbd5f398437c4f252d1419457e93aa342e4bbe0adab673</cites><orcidid>0000-0001-8337-550X ; 0000-0001-5356-2718</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fajo.13599$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fajo.13599$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>230,315,786,790,891,27957,27958,50923,51032</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35918188$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Carr, Bethany L.</creatorcontrib><creatorcontrib>Jahangirifar, Maryam</creatorcontrib><creatorcontrib>Nicholson, Ann E.</creatorcontrib><creatorcontrib>Li, Wentao</creatorcontrib><creatorcontrib>Mol, Ben W.</creatorcontrib><creatorcontrib>Licqurish, Sharon</creatorcontrib><title>Predicting postpartum haemorrhage: A systematic review of prognostic models</title><title>Australian & New Zealand journal of obstetrics & gynaecology</title><addtitle>Aust N Z J Obstet Gynaecol</addtitle><description>Background
Postpartum haemorrhage (PPH) remains a leading cause of maternal mortality and morbidity worldwide, and the rate is increasing. Using a reliable predictive model could identify those at risk, support management and treatment, and improve maternal outcomes.
Aims
To systematically identify and appraise existing prognostic models for PPH and ascertain suitability for clinical use.
Materials and Methods
MEDLINE, CINAHL, Embase, and the Cochrane Library were searched using combinations of terms and synonyms, including ‘postpartum haemorrhage’, ‘prognostic model’, and ‘risk factors’. Observational or experimental studies describing a prognostic model for risk of PPH, published in English, were included. The Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies checklist informed data extraction and the Prediction Model Risk of Bias Assessment Tool guided analysis.
Results
Sixteen studies met the inclusion criteria after screening 1612 records. All studies were hospital settings from eight different countries. Models were developed for women who experienced vaginal birth (n = 7), caesarean birth (n = 2), any type of birth (n = 2), hypertensive disorders (n = 1) and those with placental abnormalities (n = 4). All studies were at high risk of bias due to use of inappropriate analysis methods or omission of important statistical considerations or suboptimal validation.
Conclusions
No existing prognostic models for PPH are ready for clinical application. Future research is needed to externally validate existing models and potentially develop a new model that is reliable and applicable to clinical practice.</description><subject>Female</subject><subject>Humans</subject><subject>maternal mortality</subject><subject>Placenta</subject><subject>postpartum haemorrhage</subject><subject>Postpartum Hemorrhage - drug therapy</subject><subject>Postpartum Hemorrhage - therapy</subject><subject>Postpartum Period</subject><subject>Pregnancy</subject><subject>Prognosis</subject><subject>risk factors</subject><subject>Systematic Review</subject><issn>0004-8666</issn><issn>1479-828X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>WIN</sourceid><recordid>eNp1kE1P3DAQhq2qiF0oB_4AyrEcAnbsxDaXaoX4LNL20Eq9WZNksutVEgc7C9p_j2G3iB6wNLI08_gZ6yXkmNEzFs85rNwZ47nWX8iUCalTlam_X8mUUipSVRTFhByEsKKU6ZyJfTKJLFNMqSn5-ctjbavR9otkcGEcwI_rLlkCds77JSzwIpklYRNG7GC0VeLxyeJz4ppk8G7Rxyex2bka2_CN7DXQBjza3Yfkz_XV78vb9GF-c3c5e0grwQqdNtDkTGYcVCYRZF3W-Ws1XCvBZSWaLM9qJpgWuUTNAbjIUJQlUqihLCQ_JD-23mFddlhX2I8eWjN424HfGAfW_D_p7dIs3JNhlCqpJIuG7zuDd49rDKPpbKiwbaFHtw4mK7SMi7jgET3dopV3IXhs3vcwal7TNzF985Z-ZE8-fuyd_Bd3BM63wLNtcfO5yczu51vlC-3CkSQ</recordid><startdate>202212</startdate><enddate>202212</enddate><creator>Carr, Bethany L.</creator><creator>Jahangirifar, Maryam</creator><creator>Nicholson, Ann E.</creator><creator>Li, Wentao</creator><creator>Mol, Ben W.</creator><creator>Licqurish, Sharon</creator><general>John Wiley and Sons Inc</general><scope>24P</scope><scope>WIN</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>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-8337-550X</orcidid><orcidid>https://orcid.org/0000-0001-5356-2718</orcidid></search><sort><creationdate>202212</creationdate><title>Predicting postpartum haemorrhage: A systematic review of prognostic models</title><author>Carr, Bethany L. ; Jahangirifar, Maryam ; Nicholson, Ann E. ; Li, Wentao ; Mol, Ben W. ; Licqurish, Sharon</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4169-faf51723a827ea7dbd5dbd5f398437c4f252d1419457e93aa342e4bbe0adab673</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Female</topic><topic>Humans</topic><topic>maternal mortality</topic><topic>Placenta</topic><topic>postpartum haemorrhage</topic><topic>Postpartum Hemorrhage - drug therapy</topic><topic>Postpartum Hemorrhage - therapy</topic><topic>Postpartum Period</topic><topic>Pregnancy</topic><topic>Prognosis</topic><topic>risk factors</topic><topic>Systematic Review</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Carr, Bethany L.</creatorcontrib><creatorcontrib>Jahangirifar, Maryam</creatorcontrib><creatorcontrib>Nicholson, Ann E.</creatorcontrib><creatorcontrib>Li, Wentao</creatorcontrib><creatorcontrib>Mol, Ben W.</creatorcontrib><creatorcontrib>Licqurish, Sharon</creatorcontrib><collection>Wiley Online Library Open Access</collection><collection>Wiley Online Library Free Content</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Australian & New Zealand journal of obstetrics & gynaecology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Carr, Bethany L.</au><au>Jahangirifar, Maryam</au><au>Nicholson, Ann E.</au><au>Li, Wentao</au><au>Mol, Ben W.</au><au>Licqurish, Sharon</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Predicting postpartum haemorrhage: A systematic review of prognostic models</atitle><jtitle>Australian & New Zealand journal of obstetrics & gynaecology</jtitle><addtitle>Aust N Z J Obstet Gynaecol</addtitle><date>2022-12</date><risdate>2022</risdate><volume>62</volume><issue>6</issue><spage>813</spage><epage>825</epage><pages>813-825</pages><issn>0004-8666</issn><eissn>1479-828X</eissn><notes>Conflicts of Interest</notes><notes>The authors report no conflicts of interest.</notes><notes>ObjectType-Article-1</notes><notes>SourceType-Scholarly Journals-1</notes><notes>ObjectType-Feature-2</notes><notes>content type line 23</notes><notes>ObjectType-Undefined-3</notes><notes>Conflicts of Interest: The authors report no conflicts of interest.</notes><abstract>Background
Postpartum haemorrhage (PPH) remains a leading cause of maternal mortality and morbidity worldwide, and the rate is increasing. Using a reliable predictive model could identify those at risk, support management and treatment, and improve maternal outcomes.
Aims
To systematically identify and appraise existing prognostic models for PPH and ascertain suitability for clinical use.
Materials and Methods
MEDLINE, CINAHL, Embase, and the Cochrane Library were searched using combinations of terms and synonyms, including ‘postpartum haemorrhage’, ‘prognostic model’, and ‘risk factors’. Observational or experimental studies describing a prognostic model for risk of PPH, published in English, were included. The Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies checklist informed data extraction and the Prediction Model Risk of Bias Assessment Tool guided analysis.
Results
Sixteen studies met the inclusion criteria after screening 1612 records. All studies were hospital settings from eight different countries. Models were developed for women who experienced vaginal birth (n = 7), caesarean birth (n = 2), any type of birth (n = 2), hypertensive disorders (n = 1) and those with placental abnormalities (n = 4). All studies were at high risk of bias due to use of inappropriate analysis methods or omission of important statistical considerations or suboptimal validation.
Conclusions
No existing prognostic models for PPH are ready for clinical application. Future research is needed to externally validate existing models and potentially develop a new model that is reliable and applicable to clinical practice.</abstract><cop>Australia</cop><pub>John Wiley and Sons Inc</pub><pmid>35918188</pmid><doi>10.1111/ajo.13599</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0001-8337-550X</orcidid><orcidid>https://orcid.org/0000-0001-5356-2718</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0004-8666 |
| ispartof | Australian & New Zealand journal of obstetrics & gynaecology, 2022-12, Vol.62 (6), p.813-825 |
| issn | 0004-8666 1479-828X |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10087871 |
| source | Wiley |
| subjects | Female Humans maternal mortality Placenta postpartum haemorrhage Postpartum Hemorrhage - drug therapy Postpartum Hemorrhage - therapy Postpartum Period Pregnancy Prognosis risk factors Systematic Review |
| title | Predicting postpartum haemorrhage: A systematic review of prognostic models |
| url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-09-22T22%3A28%3A33IST&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=Predicting%20postpartum%20haemorrhage:%20A%20systematic%20review%20of%20prognostic%20models&rft.jtitle=Australian%20&%20New%20Zealand%20journal%20of%20obstetrics%20&%20gynaecology&rft.au=Carr,%20Bethany%20L.&rft.date=2022-12&rft.volume=62&rft.issue=6&rft.spage=813&rft.epage=825&rft.pages=813-825&rft.issn=0004-8666&rft.eissn=1479-828X&rft_id=info:doi/10.1111/ajo.13599&rft_dat=%3Cproquest_pubme%3E2697673343%3C/proquest_pubme%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c4169-faf51723a827ea7dbd5dbd5f398437c4f252d1419457e93aa342e4bbe0adab673%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2697673343&rft_id=info:pmid/35918188&rfr_iscdi=true |