A prediction model for hemolysis, elevated liver enzymes and low platelets syndrome in pre‐eclampsia with severe features
Objective The aim of the present study was to determine the risk factors for patients with pre‐eclampsia (PE) with severe features to develop hemolysis, elevated liver enzymes and low platelets (HELLP) syndrome and to design a prediction score model that incorporates these risk factors. Methods A re...
Gespeichert in:
| Veröffentlicht in: | International journal of gynecology and obstetrics 2025-01, Vol.168 (1), p.230-236 |
|---|---|
| Hauptverfasser: | , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 236 |
|---|---|
| container_issue | 1 |
| container_start_page | 230 |
| container_title | International journal of gynecology and obstetrics |
| container_volume | 168 |
| creator | Gilboa, Itamar Gabbai, Daniel Yogev, Yariv Dominsky, Omri Berger, Yuval Kupferminc, Michael Hiersch, Liran Rimon, Eli |
| description | Objective
The aim of the present study was to determine the risk factors for patients with pre‐eclampsia (PE) with severe features to develop hemolysis, elevated liver enzymes and low platelets (HELLP) syndrome and to design a prediction score model that incorporates these risk factors.
Methods
A retrospective cohort study was conducted at a tertiary university‐affiliated medical center between 2011 and 2019. The study population comprised patients diagnosed with PE with severe features, divided into two groups: those with HELLP syndrome (study group) and those without (control group). A logistic regression was employed to identify independent predictors of HELLP syndrome. A predictive model for the occurrence of HELLP syndrome in the context of PE with severe features was developed using a receiver operating characteristic curve analysis.
Results
Overall, 445 patients were included, of whom 69 patients were in the study group and 376 in the control group. A multivariate logistic analysis regression showed that maternal age |
| doi_str_mv | 10.1002/ijgo.15848 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11649887</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3090946790</sourcerecordid><originalsourceid>FETCH-LOGICAL-c2748-3893647d93c521358e5e95a343d3b22c9608a21119157a77dcaef3b3ab674143</originalsourceid><addsrcrecordid>eNp9kcFu1DAQhi1ERZfChQdAPiJEiid2YvuEqqotrSr10rvldSZdV04c7OyuAhceoc_YJyHLlgounEaa_9M3I_2EvAN2DIyVn_39XTyGSgn1gixASV1wIfVLsphDVshSl4fkdc73jDGQAK_IIdcASsh6QX6c0CFh493oY0-72GCgbUx0hV0MU_b5E8WAGztiQ4PfYKLYf586zNT28yZu6RDmMOCYaZ76JsUOqe930sefD-iC7YbsLd36cUUzzgKkLdpxnTC_IQetDRnfPs0jcnt-dnv6tbi-ubg8PbkuXCmFKrjSvBay0dxVJfBKYYW6slzwhi_L0umaKVsCgIZKWikbZ7HlS26XtRQg-BH5stcO62WHjcN-TDaYIfnOpslE682_Se9X5i5uDEAttFJyNnx4MqT4bY15NJ3PDkOwPcZ1NpxppkUtNZvRj3vUpZhzwvb5DjCza8vs2jK_25rh939_9oz-qWcGYA9sfcDpPypzeXVxs5f-AnROo3E</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3090946790</pqid></control><display><type>article</type><title>A prediction model for hemolysis, elevated liver enzymes and low platelets syndrome in pre‐eclampsia with severe features</title><source>MEDLINE</source><source>Wiley Online Library All Journals</source><creator>Gilboa, Itamar ; Gabbai, Daniel ; Yogev, Yariv ; Dominsky, Omri ; Berger, Yuval ; Kupferminc, Michael ; Hiersch, Liran ; Rimon, Eli</creator><creatorcontrib>Gilboa, Itamar ; Gabbai, Daniel ; Yogev, Yariv ; Dominsky, Omri ; Berger, Yuval ; Kupferminc, Michael ; Hiersch, Liran ; Rimon, Eli</creatorcontrib><description>Objective
The aim of the present study was to determine the risk factors for patients with pre‐eclampsia (PE) with severe features to develop hemolysis, elevated liver enzymes and low platelets (HELLP) syndrome and to design a prediction score model that incorporates these risk factors.
Methods
A retrospective cohort study was conducted at a tertiary university‐affiliated medical center between 2011 and 2019. The study population comprised patients diagnosed with PE with severe features, divided into two groups: those with HELLP syndrome (study group) and those without (control group). A logistic regression was employed to identify independent predictors of HELLP syndrome. A predictive model for the occurrence of HELLP syndrome in the context of PE with severe features was developed using a receiver operating characteristic curve analysis.
Results
Overall, 445 patients were included, of whom 69 patients were in the study group and 376 in the control group. A multivariate logistic analysis regression showed that maternal age <40 (OR = 2.28, 95% CI: 1.13–5.33, P = 0.045), nulliparity (OR = 2.22, 95% CI: 1.14–4.88, P = 0.042), mild hypertension (OR = 2.31, 95% CI: 1.54–4.82, P = 0.019), epigastric pain (OR = 3.41, 95% CI: 1.92–7.23, P < 0.001) and placental abruption (OR = 6.38, 95% CI: 1.29–35.61, P < 0.001) were independent risk factors for HELLP syndrome. A prediction score model reached a predictive performance with an area under the curve of 0.765 (95% CI: 0.709–0.821).
Conclusion
This study identified several key risk factors for developing HELLP syndrome among patients with PE with severe features and determined that a prediction score model has the potential to aid clinicians in identifying high risk patients.
Synopsis
This study identifies maternal age, nulliparity, mild hypertension, epigastric pain, and placental abruption as risk factors for HELLP syndrome, facilitating clinical prediction.</description><identifier>ISSN: 0020-7292</identifier><identifier>ISSN: 1879-3479</identifier><identifier>EISSN: 1879-3479</identifier><identifier>DOI: 10.1002/ijgo.15848</identifier><identifier>PMID: 39118476</identifier><language>eng</language><publisher>United States: John Wiley and Sons Inc</publisher><subject>Adult ; Clinical ; Female ; HELLP Syndrome ; Hemolysis ; Humans ; Logistic Models ; Pre-Eclampsia ; prediction model ; Predictive Value of Tests ; Pregnancy ; pre‐eclampsia with severe features ; Retrospective Studies ; Risk Factors ; ROC Curve ; Severity of Illness Index</subject><ispartof>International journal of gynecology and obstetrics, 2025-01, Vol.168 (1), p.230-236</ispartof><rights>2024 The Author(s). published by John Wiley & Sons Ltd on behalf of International Federation of Gynecology and Obstetrics.</rights><rights>2024 The Author(s). International Journal of Gynecology & Obstetrics published by John Wiley & Sons Ltd on behalf of International Federation of Gynecology and Obstetrics.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c2748-3893647d93c521358e5e95a343d3b22c9608a21119157a77dcaef3b3ab674143</cites><orcidid>0000-0002-0941-2074</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fijgo.15848$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fijgo.15848$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,885,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39118476$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Gilboa, Itamar</creatorcontrib><creatorcontrib>Gabbai, Daniel</creatorcontrib><creatorcontrib>Yogev, Yariv</creatorcontrib><creatorcontrib>Dominsky, Omri</creatorcontrib><creatorcontrib>Berger, Yuval</creatorcontrib><creatorcontrib>Kupferminc, Michael</creatorcontrib><creatorcontrib>Hiersch, Liran</creatorcontrib><creatorcontrib>Rimon, Eli</creatorcontrib><title>A prediction model for hemolysis, elevated liver enzymes and low platelets syndrome in pre‐eclampsia with severe features</title><title>International journal of gynecology and obstetrics</title><addtitle>Int J Gynaecol Obstet</addtitle><description>Objective
The aim of the present study was to determine the risk factors for patients with pre‐eclampsia (PE) with severe features to develop hemolysis, elevated liver enzymes and low platelets (HELLP) syndrome and to design a prediction score model that incorporates these risk factors.
Methods
A retrospective cohort study was conducted at a tertiary university‐affiliated medical center between 2011 and 2019. The study population comprised patients diagnosed with PE with severe features, divided into two groups: those with HELLP syndrome (study group) and those without (control group). A logistic regression was employed to identify independent predictors of HELLP syndrome. A predictive model for the occurrence of HELLP syndrome in the context of PE with severe features was developed using a receiver operating characteristic curve analysis.
Results
Overall, 445 patients were included, of whom 69 patients were in the study group and 376 in the control group. A multivariate logistic analysis regression showed that maternal age <40 (OR = 2.28, 95% CI: 1.13–5.33, P = 0.045), nulliparity (OR = 2.22, 95% CI: 1.14–4.88, P = 0.042), mild hypertension (OR = 2.31, 95% CI: 1.54–4.82, P = 0.019), epigastric pain (OR = 3.41, 95% CI: 1.92–7.23, P < 0.001) and placental abruption (OR = 6.38, 95% CI: 1.29–35.61, P < 0.001) were independent risk factors for HELLP syndrome. A prediction score model reached a predictive performance with an area under the curve of 0.765 (95% CI: 0.709–0.821).
Conclusion
This study identified several key risk factors for developing HELLP syndrome among patients with PE with severe features and determined that a prediction score model has the potential to aid clinicians in identifying high risk patients.
Synopsis
This study identifies maternal age, nulliparity, mild hypertension, epigastric pain, and placental abruption as risk factors for HELLP syndrome, facilitating clinical prediction.</description><subject>Adult</subject><subject>Clinical</subject><subject>Female</subject><subject>HELLP Syndrome</subject><subject>Hemolysis</subject><subject>Humans</subject><subject>Logistic Models</subject><subject>Pre-Eclampsia</subject><subject>prediction model</subject><subject>Predictive Value of Tests</subject><subject>Pregnancy</subject><subject>pre‐eclampsia with severe features</subject><subject>Retrospective Studies</subject><subject>Risk Factors</subject><subject>ROC Curve</subject><subject>Severity of Illness Index</subject><issn>0020-7292</issn><issn>1879-3479</issn><issn>1879-3479</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2025</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>WIN</sourceid><sourceid>EIF</sourceid><recordid>eNp9kcFu1DAQhi1ERZfChQdAPiJEiid2YvuEqqotrSr10rvldSZdV04c7OyuAhceoc_YJyHLlgounEaa_9M3I_2EvAN2DIyVn_39XTyGSgn1gixASV1wIfVLsphDVshSl4fkdc73jDGQAK_IIdcASsh6QX6c0CFh493oY0-72GCgbUx0hV0MU_b5E8WAGztiQ4PfYKLYf586zNT28yZu6RDmMOCYaZ76JsUOqe930sefD-iC7YbsLd36cUUzzgKkLdpxnTC_IQetDRnfPs0jcnt-dnv6tbi-ubg8PbkuXCmFKrjSvBay0dxVJfBKYYW6slzwhi_L0umaKVsCgIZKWikbZ7HlS26XtRQg-BH5stcO62WHjcN-TDaYIfnOpslE682_Se9X5i5uDEAttFJyNnx4MqT4bY15NJ3PDkOwPcZ1NpxppkUtNZvRj3vUpZhzwvb5DjCza8vs2jK_25rh939_9oz-qWcGYA9sfcDpPypzeXVxs5f-AnROo3E</recordid><startdate>202501</startdate><enddate>202501</enddate><creator>Gilboa, Itamar</creator><creator>Gabbai, Daniel</creator><creator>Yogev, Yariv</creator><creator>Dominsky, Omri</creator><creator>Berger, Yuval</creator><creator>Kupferminc, Michael</creator><creator>Hiersch, Liran</creator><creator>Rimon, Eli</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/0000-0002-0941-2074</orcidid></search><sort><creationdate>202501</creationdate><title>A prediction model for hemolysis, elevated liver enzymes and low platelets syndrome in pre‐eclampsia with severe features</title><author>Gilboa, Itamar ; Gabbai, Daniel ; Yogev, Yariv ; Dominsky, Omri ; Berger, Yuval ; Kupferminc, Michael ; Hiersch, Liran ; Rimon, Eli</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2748-3893647d93c521358e5e95a343d3b22c9608a21119157a77dcaef3b3ab674143</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2025</creationdate><topic>Adult</topic><topic>Clinical</topic><topic>Female</topic><topic>HELLP Syndrome</topic><topic>Hemolysis</topic><topic>Humans</topic><topic>Logistic Models</topic><topic>Pre-Eclampsia</topic><topic>prediction model</topic><topic>Predictive Value of Tests</topic><topic>Pregnancy</topic><topic>pre‐eclampsia with severe features</topic><topic>Retrospective Studies</topic><topic>Risk Factors</topic><topic>ROC Curve</topic><topic>Severity of Illness Index</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gilboa, Itamar</creatorcontrib><creatorcontrib>Gabbai, Daniel</creatorcontrib><creatorcontrib>Yogev, Yariv</creatorcontrib><creatorcontrib>Dominsky, Omri</creatorcontrib><creatorcontrib>Berger, Yuval</creatorcontrib><creatorcontrib>Kupferminc, Michael</creatorcontrib><creatorcontrib>Hiersch, Liran</creatorcontrib><creatorcontrib>Rimon, Eli</creatorcontrib><collection>Wiley-Blackwell Open Access Titles</collection><collection>Wiley 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>International journal of gynecology and obstetrics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gilboa, Itamar</au><au>Gabbai, Daniel</au><au>Yogev, Yariv</au><au>Dominsky, Omri</au><au>Berger, Yuval</au><au>Kupferminc, Michael</au><au>Hiersch, Liran</au><au>Rimon, Eli</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A prediction model for hemolysis, elevated liver enzymes and low platelets syndrome in pre‐eclampsia with severe features</atitle><jtitle>International journal of gynecology and obstetrics</jtitle><addtitle>Int J Gynaecol Obstet</addtitle><date>2025-01</date><risdate>2025</risdate><volume>168</volume><issue>1</issue><spage>230</spage><epage>236</epage><pages>230-236</pages><issn>0020-7292</issn><issn>1879-3479</issn><eissn>1879-3479</eissn><abstract>Objective
The aim of the present study was to determine the risk factors for patients with pre‐eclampsia (PE) with severe features to develop hemolysis, elevated liver enzymes and low platelets (HELLP) syndrome and to design a prediction score model that incorporates these risk factors.
Methods
A retrospective cohort study was conducted at a tertiary university‐affiliated medical center between 2011 and 2019. The study population comprised patients diagnosed with PE with severe features, divided into two groups: those with HELLP syndrome (study group) and those without (control group). A logistic regression was employed to identify independent predictors of HELLP syndrome. A predictive model for the occurrence of HELLP syndrome in the context of PE with severe features was developed using a receiver operating characteristic curve analysis.
Results
Overall, 445 patients were included, of whom 69 patients were in the study group and 376 in the control group. A multivariate logistic analysis regression showed that maternal age <40 (OR = 2.28, 95% CI: 1.13–5.33, P = 0.045), nulliparity (OR = 2.22, 95% CI: 1.14–4.88, P = 0.042), mild hypertension (OR = 2.31, 95% CI: 1.54–4.82, P = 0.019), epigastric pain (OR = 3.41, 95% CI: 1.92–7.23, P < 0.001) and placental abruption (OR = 6.38, 95% CI: 1.29–35.61, P < 0.001) were independent risk factors for HELLP syndrome. A prediction score model reached a predictive performance with an area under the curve of 0.765 (95% CI: 0.709–0.821).
Conclusion
This study identified several key risk factors for developing HELLP syndrome among patients with PE with severe features and determined that a prediction score model has the potential to aid clinicians in identifying high risk patients.
Synopsis
This study identifies maternal age, nulliparity, mild hypertension, epigastric pain, and placental abruption as risk factors for HELLP syndrome, facilitating clinical prediction.</abstract><cop>United States</cop><pub>John Wiley and Sons Inc</pub><pmid>39118476</pmid><doi>10.1002/ijgo.15848</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0002-0941-2074</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0020-7292 |
| ispartof | International journal of gynecology and obstetrics, 2025-01, Vol.168 (1), p.230-236 |
| issn | 0020-7292 1879-3479 1879-3479 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11649887 |
| source | MEDLINE; Wiley Online Library All Journals |
| subjects | Adult Clinical Female HELLP Syndrome Hemolysis Humans Logistic Models Pre-Eclampsia prediction model Predictive Value of Tests Pregnancy pre‐eclampsia with severe features Retrospective Studies Risk Factors ROC Curve Severity of Illness Index |
| title | A prediction model for hemolysis, elevated liver enzymes and low platelets syndrome in pre‐eclampsia with severe features |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-08T05%3A34%3A49IST&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=A%20prediction%20model%20for%20hemolysis,%20elevated%20liver%20enzymes%20and%20low%20platelets%20syndrome%20in%20pre%E2%80%90eclampsia%20with%20severe%20features&rft.jtitle=International%20journal%20of%20gynecology%20and%20obstetrics&rft.au=Gilboa,%20Itamar&rft.date=2025-01&rft.volume=168&rft.issue=1&rft.spage=230&rft.epage=236&rft.pages=230-236&rft.issn=0020-7292&rft.eissn=1879-3479&rft_id=info:doi/10.1002/ijgo.15848&rft_dat=%3Cproquest_pubme%3E3090946790%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=3090946790&rft_id=info:pmid/39118476&rfr_iscdi=true |