Ophthalmic artery Doppler for pre-eclampsia prediction at the first trimester: a Bayesian survival-time model
Objective To develop a Bayesian survival-time model for the prediction of pre-eclampsia (PE) at the first trimester using a combination of established biomarkers including maternal characteristics and history, mean arterial pressure (MAP), uterine artery Doppler pulsatility index (UtA-PI), and Place...
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| Veröffentlicht in: | Journal of ultrasound 2023-03, Vol.26 (1), p.155-162 |
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| container_title | Journal of ultrasound |
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| creator | Kusuma, Raden Aditya Nurdiati, Detty Siti Al Fattah, Adly Nanda Danukusumo, Didi Abdullah, Sarini Sini, Ivan |
| description | Objective
To develop a Bayesian survival-time model for the prediction of pre-eclampsia (PE) at the first trimester using a combination of established biomarkers including maternal characteristics and history, mean arterial pressure (MAP), uterine artery Doppler pulsatility index (UtA-PI), and Placental Growth Factor (PlGF)) with an ophthalmic artery Doppler peak ratio (PR) analysis.
Methods
The receiving operator curve (ROC) analysis was used to determine the area under the curve (AUC), detection rate (DR), and positive screening cut-off value of the model in predicting the occurrence of early-onset PE ( |
| doi_str_mv | 10.1007/s40477-022-00697-w |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10063770</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2697369026</sourcerecordid><originalsourceid>FETCH-LOGICAL-c431t-4e830ca78b0db9b09fd14f576969e6c3a5b3d23bf3564b3c5e4e69dfb6abcabd3</originalsourceid><addsrcrecordid>eNp9kU1v1DAQhi0EoqXwBzggS1y4GOw4sddcEJRPqVIvcLbGzqTryomDnWy1_x63W0rhwMljzTPvfLyEPBf8teBcvyktb7VmvGkY58podvWAHIuNVkwbKR7ei4_Ik1IuOe-M1OIxOZKdEZobeUzG83m7bCGOwVPIC-Y9_ZjmOWKmQ8p0zsjQRxjnEuD61we_hDRRWOiyRTqEXGqUw4ilFr-lQD_AHis80bLmXdhBZEvN0jH1GJ-SRwPEgs9u3xPy4_On76df2dn5l2-n78-Yb6VYWIsbyT3ojeO9M46boRft0GlllEHlJXRO9o10g-xU66TvsEVl-sEpcB5cL0_Iu4PuvLoRe4_TkiHauc4JeW8TBPt3Zgpbe5F2tt5VSa15VXh1q5DTz7UuZ8dQPMYIE6a12KbeWyrDG1XRl_-gl2nNU93PSlE52YgbqjlQPqdSMg530wh-3Vbbg5222mlv7LRXtejF_T3uSn77VwF5AEpNTReY__T-j-wv0zqu5Q</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3126932126</pqid></control><display><type>article</type><title>Ophthalmic artery Doppler for pre-eclampsia prediction at the first trimester: a Bayesian survival-time model</title><source>MEDLINE</source><source>Springer Nature - Complete Springer Journals</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><creator>Kusuma, Raden Aditya ; Nurdiati, Detty Siti ; Al Fattah, Adly Nanda ; Danukusumo, Didi ; Abdullah, Sarini ; Sini, Ivan</creator><creatorcontrib>Kusuma, Raden Aditya ; Nurdiati, Detty Siti ; Al Fattah, Adly Nanda ; Danukusumo, Didi ; Abdullah, Sarini ; Sini, Ivan</creatorcontrib><description>Objective
To develop a Bayesian survival-time model for the prediction of pre-eclampsia (PE) at the first trimester using a combination of established biomarkers including maternal characteristics and history, mean arterial pressure (MAP), uterine artery Doppler pulsatility index (UtA-PI), and Placental Growth Factor (PlGF)) with an ophthalmic artery Doppler peak ratio (PR) analysis.
Methods
The receiving operator curve (ROC) analysis was used to determine the area under the curve (AUC), detection rate (DR), and positive screening cut-off value of the model in predicting the occurrence of early-onset PE (< 34 weeks’ gestation) and preterm PE (< 37 weeks’ gestation).
Results
Of the 946 eligible participants, 71 (7.49%) subjects were affected by PE. The incidences of early-onset and preterm PE were 1% and 2.2%, respectively. At a 10% false-positive rate, using the high-risk cut-off 1:49, with AUC 0.981 and 95%CI 0.965–0.998, this model had an 100% of DR in predicting early-onset PE. The DR of this model in predicting preterm PE is 71% when using 1:13 as the cut-off, with AUC 0.919 and 95%CI 0.875–0.963.
Conclusion
Combination ophthalmic artery Doppler PR with the previously established biomarkers could improve the accuracy of early and preterm PE prediction at the first trimester screening.</description><identifier>ISSN: 1876-7931</identifier><identifier>ISSN: 1971-3495</identifier><identifier>EISSN: 1876-7931</identifier><identifier>DOI: 10.1007/s40477-022-00697-w</identifier><identifier>PMID: 35917093</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Bayes Theorem ; Bayesian analysis ; Biomarkers ; Female ; Gestation ; Growth factors ; Humans ; Infant, Newborn ; Medicine ; Medicine & Public Health ; Ophthalmic Artery - chemistry ; Ophthalmic Artery - diagnostic imaging ; Original Paper ; Placenta Growth Factor ; Pre-Eclampsia - diagnostic imaging ; Preeclampsia ; Pregnancy ; Pregnancy Trimester, First ; Pulsatile Flow ; Screening ; Survival ; Ultrasound ; Veins & arteries</subject><ispartof>Journal of ultrasound, 2023-03, Vol.26 (1), p.155-162</ispartof><rights>Società Italiana di Ultrasonologia in Medicina e Biologia (SIUMB) 2022</rights><rights>2022. Società Italiana di Ultrasonologia in Medicina e Biologia (SIUMB).</rights><rights>Società Italiana di Ultrasonologia in Medicina e Biologia (SIUMB) 2022.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c431t-4e830ca78b0db9b09fd14f576969e6c3a5b3d23bf3564b3c5e4e69dfb6abcabd3</citedby><cites>FETCH-LOGICAL-c431t-4e830ca78b0db9b09fd14f576969e6c3a5b3d23bf3564b3c5e4e69dfb6abcabd3</cites><orcidid>0000-0002-9164-4471 ; 0000-0003-0836-4290 ; 0000-0002-5364-0381 ; 0000-0002-3643-5925</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10063770/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10063770/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,723,776,780,881,27903,27904,41467,42536,51297,53769,53771</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35917093$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kusuma, Raden Aditya</creatorcontrib><creatorcontrib>Nurdiati, Detty Siti</creatorcontrib><creatorcontrib>Al Fattah, Adly Nanda</creatorcontrib><creatorcontrib>Danukusumo, Didi</creatorcontrib><creatorcontrib>Abdullah, Sarini</creatorcontrib><creatorcontrib>Sini, Ivan</creatorcontrib><title>Ophthalmic artery Doppler for pre-eclampsia prediction at the first trimester: a Bayesian survival-time model</title><title>Journal of ultrasound</title><addtitle>J Ultrasound</addtitle><addtitle>J Ultrasound</addtitle><description>Objective
To develop a Bayesian survival-time model for the prediction of pre-eclampsia (PE) at the first trimester using a combination of established biomarkers including maternal characteristics and history, mean arterial pressure (MAP), uterine artery Doppler pulsatility index (UtA-PI), and Placental Growth Factor (PlGF)) with an ophthalmic artery Doppler peak ratio (PR) analysis.
Methods
The receiving operator curve (ROC) analysis was used to determine the area under the curve (AUC), detection rate (DR), and positive screening cut-off value of the model in predicting the occurrence of early-onset PE (< 34 weeks’ gestation) and preterm PE (< 37 weeks’ gestation).
Results
Of the 946 eligible participants, 71 (7.49%) subjects were affected by PE. The incidences of early-onset and preterm PE were 1% and 2.2%, respectively. At a 10% false-positive rate, using the high-risk cut-off 1:49, with AUC 0.981 and 95%CI 0.965–0.998, this model had an 100% of DR in predicting early-onset PE. The DR of this model in predicting preterm PE is 71% when using 1:13 as the cut-off, with AUC 0.919 and 95%CI 0.875–0.963.
Conclusion
Combination ophthalmic artery Doppler PR with the previously established biomarkers could improve the accuracy of early and preterm PE prediction at the first trimester screening.</description><subject>Bayes Theorem</subject><subject>Bayesian analysis</subject><subject>Biomarkers</subject><subject>Female</subject><subject>Gestation</subject><subject>Growth factors</subject><subject>Humans</subject><subject>Infant, Newborn</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Ophthalmic Artery - chemistry</subject><subject>Ophthalmic Artery - diagnostic imaging</subject><subject>Original Paper</subject><subject>Placenta Growth Factor</subject><subject>Pre-Eclampsia - diagnostic imaging</subject><subject>Preeclampsia</subject><subject>Pregnancy</subject><subject>Pregnancy Trimester, First</subject><subject>Pulsatile Flow</subject><subject>Screening</subject><subject>Survival</subject><subject>Ultrasound</subject><subject>Veins & arteries</subject><issn>1876-7931</issn><issn>1971-3495</issn><issn>1876-7931</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kU1v1DAQhi0EoqXwBzggS1y4GOw4sddcEJRPqVIvcLbGzqTryomDnWy1_x63W0rhwMljzTPvfLyEPBf8teBcvyktb7VmvGkY58podvWAHIuNVkwbKR7ei4_Ik1IuOe-M1OIxOZKdEZobeUzG83m7bCGOwVPIC-Y9_ZjmOWKmQ8p0zsjQRxjnEuD61we_hDRRWOiyRTqEXGqUw4ilFr-lQD_AHis80bLmXdhBZEvN0jH1GJ-SRwPEgs9u3xPy4_On76df2dn5l2-n78-Yb6VYWIsbyT3ojeO9M46boRft0GlllEHlJXRO9o10g-xU66TvsEVl-sEpcB5cL0_Iu4PuvLoRe4_TkiHauc4JeW8TBPt3Zgpbe5F2tt5VSa15VXh1q5DTz7UuZ8dQPMYIE6a12KbeWyrDG1XRl_-gl2nNU93PSlE52YgbqjlQPqdSMg530wh-3Vbbg5222mlv7LRXtejF_T3uSn77VwF5AEpNTReY__T-j-wv0zqu5Q</recordid><startdate>20230301</startdate><enddate>20230301</enddate><creator>Kusuma, Raden Aditya</creator><creator>Nurdiati, Detty Siti</creator><creator>Al Fattah, Adly Nanda</creator><creator>Danukusumo, Didi</creator><creator>Abdullah, Sarini</creator><creator>Sini, Ivan</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><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/0000-0002-9164-4471</orcidid><orcidid>https://orcid.org/0000-0003-0836-4290</orcidid><orcidid>https://orcid.org/0000-0002-5364-0381</orcidid><orcidid>https://orcid.org/0000-0002-3643-5925</orcidid></search><sort><creationdate>20230301</creationdate><title>Ophthalmic artery Doppler for pre-eclampsia prediction at the first trimester: a Bayesian survival-time model</title><author>Kusuma, Raden Aditya ; Nurdiati, Detty Siti ; Al Fattah, Adly Nanda ; Danukusumo, Didi ; Abdullah, Sarini ; Sini, Ivan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c431t-4e830ca78b0db9b09fd14f576969e6c3a5b3d23bf3564b3c5e4e69dfb6abcabd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Bayes Theorem</topic><topic>Bayesian analysis</topic><topic>Biomarkers</topic><topic>Female</topic><topic>Gestation</topic><topic>Growth factors</topic><topic>Humans</topic><topic>Infant, Newborn</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Ophthalmic Artery - chemistry</topic><topic>Ophthalmic Artery - diagnostic imaging</topic><topic>Original Paper</topic><topic>Placenta Growth Factor</topic><topic>Pre-Eclampsia - diagnostic imaging</topic><topic>Preeclampsia</topic><topic>Pregnancy</topic><topic>Pregnancy Trimester, First</topic><topic>Pulsatile Flow</topic><topic>Screening</topic><topic>Survival</topic><topic>Ultrasound</topic><topic>Veins & arteries</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kusuma, Raden Aditya</creatorcontrib><creatorcontrib>Nurdiati, Detty Siti</creatorcontrib><creatorcontrib>Al Fattah, Adly Nanda</creatorcontrib><creatorcontrib>Danukusumo, Didi</creatorcontrib><creatorcontrib>Abdullah, Sarini</creatorcontrib><creatorcontrib>Sini, Ivan</creatorcontrib><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>Journal of ultrasound</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kusuma, Raden Aditya</au><au>Nurdiati, Detty Siti</au><au>Al Fattah, Adly Nanda</au><au>Danukusumo, Didi</au><au>Abdullah, Sarini</au><au>Sini, Ivan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Ophthalmic artery Doppler for pre-eclampsia prediction at the first trimester: a Bayesian survival-time model</atitle><jtitle>Journal of ultrasound</jtitle><stitle>J Ultrasound</stitle><addtitle>J Ultrasound</addtitle><date>2023-03-01</date><risdate>2023</risdate><volume>26</volume><issue>1</issue><spage>155</spage><epage>162</epage><pages>155-162</pages><issn>1876-7931</issn><issn>1971-3495</issn><eissn>1876-7931</eissn><abstract>Objective
To develop a Bayesian survival-time model for the prediction of pre-eclampsia (PE) at the first trimester using a combination of established biomarkers including maternal characteristics and history, mean arterial pressure (MAP), uterine artery Doppler pulsatility index (UtA-PI), and Placental Growth Factor (PlGF)) with an ophthalmic artery Doppler peak ratio (PR) analysis.
Methods
The receiving operator curve (ROC) analysis was used to determine the area under the curve (AUC), detection rate (DR), and positive screening cut-off value of the model in predicting the occurrence of early-onset PE (< 34 weeks’ gestation) and preterm PE (< 37 weeks’ gestation).
Results
Of the 946 eligible participants, 71 (7.49%) subjects were affected by PE. The incidences of early-onset and preterm PE were 1% and 2.2%, respectively. At a 10% false-positive rate, using the high-risk cut-off 1:49, with AUC 0.981 and 95%CI 0.965–0.998, this model had an 100% of DR in predicting early-onset PE. The DR of this model in predicting preterm PE is 71% when using 1:13 as the cut-off, with AUC 0.919 and 95%CI 0.875–0.963.
Conclusion
Combination ophthalmic artery Doppler PR with the previously established biomarkers could improve the accuracy of early and preterm PE prediction at the first trimester screening.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>35917093</pmid><doi>10.1007/s40477-022-00697-w</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-9164-4471</orcidid><orcidid>https://orcid.org/0000-0003-0836-4290</orcidid><orcidid>https://orcid.org/0000-0002-5364-0381</orcidid><orcidid>https://orcid.org/0000-0002-3643-5925</orcidid></addata></record> |
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| ispartof | Journal of ultrasound, 2023-03, Vol.26 (1), p.155-162 |
| issn | 1876-7931 1971-3495 1876-7931 |
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| source | MEDLINE; Springer Nature - Complete Springer Journals; EZB-FREE-00999 freely available EZB journals; PubMed Central |
| subjects | Bayes Theorem Bayesian analysis Biomarkers Female Gestation Growth factors Humans Infant, Newborn Medicine Medicine & Public Health Ophthalmic Artery - chemistry Ophthalmic Artery - diagnostic imaging Original Paper Placenta Growth Factor Pre-Eclampsia - diagnostic imaging Preeclampsia Pregnancy Pregnancy Trimester, First Pulsatile Flow Screening Survival Ultrasound Veins & arteries |
| title | Ophthalmic artery Doppler for pre-eclampsia prediction at the first trimester: a Bayesian survival-time model |
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