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Analysis of IVF live birth outcomes with and without preimplantation genetic testing for aneuploidy (PGT-A): UK Human Fertilisation and Embryology Authority data collection 2016–2018
Purpose To examine the live birth and other outcomes reported with and without preimplantation genetic testing for aneuploidy (PGT-A) in the United Kingdom (UK) Human Embryology and Fertilization Authority (HFEA) data collection. Methods A retrospective cohort analysis was conducted following freedo...
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Published in: | Journal of assisted reproduction and genetics 2021-12, Vol.38 (12), p.3277-3285 |
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container_title | Journal of assisted reproduction and genetics |
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creator | Sanders, Kathryn D. Silvestri, Giuseppe Gordon, Tony Griffin, Darren K. |
description | Purpose
To examine the live birth and other outcomes reported with and without preimplantation genetic testing for aneuploidy (PGT-A) in the United Kingdom (UK) Human Embryology and Fertilization Authority (HFEA) data collection.
Methods
A retrospective cohort analysis was conducted following freedom of information (FoI) requests to the HFEA for the PGT-A and non-PGT-A cycle outcomes for 2016–2018. Statistical analysis of differences between PGT-A and non-PGT-A cycles was performed. Other than grouping by maternal age, no further confounders were controlled for; fresh and frozen transfers were included.
Results
Outcomes collected between 2016 and 2018 included total number of cycles, cycles with no embryo transfer, total number of embryos transferred, live birth rate (LBR) per embryo transferred and live birth rate per treatment cycle. Data was available for 2464 PGT-A out of a total 190,010 cycles. LBR per embryo transferred and LBR per treatment cycle (including cycles with no transfer) were significantly higher for all PGT-A vs non-PGT-A age groups (including under 35), with nearly all single embryo transfers (SET) after PGT-A (significantly more in non-PGT-A) and a reduced number of transfers per live birth particularly for cycles with maternal age over 40 years.
Conclusion
The retrospective study provides strong evidence for the benefits of PGT-A in terms of live births per embryo transferred and per cycle started but is limited in terms of matching PGT-A and non-PGT-A cohorts (e.g. in future studies, other confounders could be controlled for). This data challenges the HFEA “red traffic light” guidance that states there is “no evidence that PGT-A is effective or safe” and hence suggests the statement be revisited in the light of this and other new data. |
doi_str_mv | 10.1007/s10815-021-02349-0 |
format | article |
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To examine the live birth and other outcomes reported with and without preimplantation genetic testing for aneuploidy (PGT-A) in the United Kingdom (UK) Human Embryology and Fertilization Authority (HFEA) data collection.
Methods
A retrospective cohort analysis was conducted following freedom of information (FoI) requests to the HFEA for the PGT-A and non-PGT-A cycle outcomes for 2016–2018. Statistical analysis of differences between PGT-A and non-PGT-A cycles was performed. Other than grouping by maternal age, no further confounders were controlled for; fresh and frozen transfers were included.
Results
Outcomes collected between 2016 and 2018 included total number of cycles, cycles with no embryo transfer, total number of embryos transferred, live birth rate (LBR) per embryo transferred and live birth rate per treatment cycle. Data was available for 2464 PGT-A out of a total 190,010 cycles. LBR per embryo transferred and LBR per treatment cycle (including cycles with no transfer) were significantly higher for all PGT-A vs non-PGT-A age groups (including under 35), with nearly all single embryo transfers (SET) after PGT-A (significantly more in non-PGT-A) and a reduced number of transfers per live birth particularly for cycles with maternal age over 40 years.
Conclusion
The retrospective study provides strong evidence for the benefits of PGT-A in terms of live births per embryo transferred and per cycle started but is limited in terms of matching PGT-A and non-PGT-A cohorts (e.g. in future studies, other confounders could be controlled for). This data challenges the HFEA “red traffic light” guidance that states there is “no evidence that PGT-A is effective or safe” and hence suggests the statement be revisited in the light of this and other new data.</description><identifier>ISSN: 1058-0468</identifier><identifier>EISSN: 1573-7330</identifier><identifier>DOI: 10.1007/s10815-021-02349-0</identifier><identifier>PMID: 34766235</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Adult ; Age ; Aneuploidy ; Birth Rate ; Blastocyst - physiology ; Data collection ; Embryo transfer ; Embryology ; Embryos ; Female ; Fertilization ; Fertilization - physiology ; Fertilization in Vitro - statistics & numerical data ; Genetic screening ; Genetic Testing - methods ; Genetics ; Gynecology ; Human Genetics ; Humans ; Live Birth ; Maternal Age ; Medicine ; Medicine & Public Health ; Pregnancy ; Pregnancy Rate ; Preimplantation Diagnosis - methods ; Reproductive Medicine ; Retrospective Studies ; Statistical analysis ; United Kingdom</subject><ispartof>Journal of assisted reproduction and genetics, 2021-12, Vol.38 (12), p.3277-3285</ispartof><rights>The Author(s) 2021</rights><rights>2021. The Author(s).</rights><rights>The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c474t-b6ff81defa77712bf1908db6edafd87a37697e3447f0e83606c116ad376dd8503</citedby><cites>FETCH-LOGICAL-c474t-b6ff81defa77712bf1908db6edafd87a37697e3447f0e83606c116ad376dd8503</cites><orcidid>0000-0002-5496-2470 ; 0000-0002-4774-5347 ; 0000-0001-7595-3226 ; 0000-0003-2756-1943</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/PMC8666405/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8666405/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,724,777,781,882,27905,27906,53772,53774</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34766235$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sanders, Kathryn D.</creatorcontrib><creatorcontrib>Silvestri, Giuseppe</creatorcontrib><creatorcontrib>Gordon, Tony</creatorcontrib><creatorcontrib>Griffin, Darren K.</creatorcontrib><title>Analysis of IVF live birth outcomes with and without preimplantation genetic testing for aneuploidy (PGT-A): UK Human Fertilisation and Embryology Authority data collection 2016–2018</title><title>Journal of assisted reproduction and genetics</title><addtitle>J Assist Reprod Genet</addtitle><addtitle>J Assist Reprod Genet</addtitle><description>Purpose
To examine the live birth and other outcomes reported with and without preimplantation genetic testing for aneuploidy (PGT-A) in the United Kingdom (UK) Human Embryology and Fertilization Authority (HFEA) data collection.
Methods
A retrospective cohort analysis was conducted following freedom of information (FoI) requests to the HFEA for the PGT-A and non-PGT-A cycle outcomes for 2016–2018. Statistical analysis of differences between PGT-A and non-PGT-A cycles was performed. Other than grouping by maternal age, no further confounders were controlled for; fresh and frozen transfers were included.
Results
Outcomes collected between 2016 and 2018 included total number of cycles, cycles with no embryo transfer, total number of embryos transferred, live birth rate (LBR) per embryo transferred and live birth rate per treatment cycle. Data was available for 2464 PGT-A out of a total 190,010 cycles. LBR per embryo transferred and LBR per treatment cycle (including cycles with no transfer) were significantly higher for all PGT-A vs non-PGT-A age groups (including under 35), with nearly all single embryo transfers (SET) after PGT-A (significantly more in non-PGT-A) and a reduced number of transfers per live birth particularly for cycles with maternal age over 40 years.
Conclusion
The retrospective study provides strong evidence for the benefits of PGT-A in terms of live births per embryo transferred and per cycle started but is limited in terms of matching PGT-A and non-PGT-A cohorts (e.g. in future studies, other confounders could be controlled for). This data challenges the HFEA “red traffic light” guidance that states there is “no evidence that PGT-A is effective or safe” and hence suggests the statement be revisited in the light of this and other new data.</description><subject>Adult</subject><subject>Age</subject><subject>Aneuploidy</subject><subject>Birth Rate</subject><subject>Blastocyst - physiology</subject><subject>Data collection</subject><subject>Embryo transfer</subject><subject>Embryology</subject><subject>Embryos</subject><subject>Female</subject><subject>Fertilization</subject><subject>Fertilization - physiology</subject><subject>Fertilization in Vitro - statistics & numerical data</subject><subject>Genetic screening</subject><subject>Genetic Testing - methods</subject><subject>Genetics</subject><subject>Gynecology</subject><subject>Human Genetics</subject><subject>Humans</subject><subject>Live Birth</subject><subject>Maternal Age</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Pregnancy</subject><subject>Pregnancy Rate</subject><subject>Preimplantation Diagnosis - methods</subject><subject>Reproductive Medicine</subject><subject>Retrospective Studies</subject><subject>Statistical analysis</subject><subject>United Kingdom</subject><issn>1058-0468</issn><issn>1573-7330</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp9kstu1TAQhiMEohd4ARbIEpuyCIzjxHZYIB1VPW1FJVi0bC0ndlJXTnywnaLseIe-DM_Dk-BzUsplwcLy2PPNP778WfYCwxsMwN4GDBxXORQ4DVLWOTzK9nHFSM4IgccphornUFK-lx2EcAMANS_I02yPlIzSglT72ffVKO0cTECuQ-ef18iaW40a4-M1clNs3aAD-mrSSo5qF6RdtPHaDBsrxyijcSPq9aijaVHUIZqxR53zidfTxjqjZnT06fQyX71-h64-oLNpkCNaax-NNWEp30qfDI2fnXX9jFZT6uJNnJGSUaLWWavbHVgApj--3aWJP8uedNIG_fx-Psyu1ieXx2f5xcfT8-PVRd6WrIx5Q7uOY6U7yRjDRdPhGrhqqFayU5xJwmjNNClL1oHmhAJtMaZSpX2leAXkMHu_6G6mZtCq1WP00oqNN4P0s3DSiL8zo7kWvbsVnFJaQpUEju4FvPsypQcSgwmttun1tJuCKKqalZwDIQl99Q964yafPihRFGpMKWYsUcVCtd6F4HX3cBgMYmsMsRhDJGOInTHE9hov_7zGQ8kvJySALEBIqbHX_nfv_8j-BI1Vx0Y</recordid><startdate>20211201</startdate><enddate>20211201</enddate><creator>Sanders, Kathryn D.</creator><creator>Silvestri, Giuseppe</creator><creator>Gordon, Tony</creator><creator>Griffin, Darren K.</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>C6C</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>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-5496-2470</orcidid><orcidid>https://orcid.org/0000-0002-4774-5347</orcidid><orcidid>https://orcid.org/0000-0001-7595-3226</orcidid><orcidid>https://orcid.org/0000-0003-2756-1943</orcidid></search><sort><creationdate>20211201</creationdate><title>Analysis of IVF live birth outcomes with and without preimplantation genetic testing for aneuploidy (PGT-A): UK Human Fertilisation and Embryology Authority data collection 2016–2018</title><author>Sanders, Kathryn D. ; Silvestri, Giuseppe ; Gordon, Tony ; Griffin, Darren K.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c474t-b6ff81defa77712bf1908db6edafd87a37697e3447f0e83606c116ad376dd8503</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Adult</topic><topic>Age</topic><topic>Aneuploidy</topic><topic>Birth Rate</topic><topic>Blastocyst - physiology</topic><topic>Data collection</topic><topic>Embryo transfer</topic><topic>Embryology</topic><topic>Embryos</topic><topic>Female</topic><topic>Fertilization</topic><topic>Fertilization - physiology</topic><topic>Fertilization in Vitro - statistics & numerical data</topic><topic>Genetic screening</topic><topic>Genetic Testing - methods</topic><topic>Genetics</topic><topic>Gynecology</topic><topic>Human Genetics</topic><topic>Humans</topic><topic>Live Birth</topic><topic>Maternal Age</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Pregnancy</topic><topic>Pregnancy Rate</topic><topic>Preimplantation Diagnosis - methods</topic><topic>Reproductive Medicine</topic><topic>Retrospective Studies</topic><topic>Statistical analysis</topic><topic>United Kingdom</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sanders, Kathryn D.</creatorcontrib><creatorcontrib>Silvestri, Giuseppe</creatorcontrib><creatorcontrib>Gordon, Tony</creatorcontrib><creatorcontrib>Griffin, Darren K.</creatorcontrib><collection>SpringerOpen</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>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</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)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biological Sciences</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</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>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of assisted reproduction and genetics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sanders, Kathryn D.</au><au>Silvestri, Giuseppe</au><au>Gordon, Tony</au><au>Griffin, Darren K.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Analysis of IVF live birth outcomes with and without preimplantation genetic testing for aneuploidy (PGT-A): UK Human Fertilisation and Embryology Authority data collection 2016–2018</atitle><jtitle>Journal of assisted reproduction and genetics</jtitle><stitle>J Assist Reprod Genet</stitle><addtitle>J Assist Reprod Genet</addtitle><date>2021-12-01</date><risdate>2021</risdate><volume>38</volume><issue>12</issue><spage>3277</spage><epage>3285</epage><pages>3277-3285</pages><issn>1058-0468</issn><eissn>1573-7330</eissn><abstract>Purpose
To examine the live birth and other outcomes reported with and without preimplantation genetic testing for aneuploidy (PGT-A) in the United Kingdom (UK) Human Embryology and Fertilization Authority (HFEA) data collection.
Methods
A retrospective cohort analysis was conducted following freedom of information (FoI) requests to the HFEA for the PGT-A and non-PGT-A cycle outcomes for 2016–2018. Statistical analysis of differences between PGT-A and non-PGT-A cycles was performed. Other than grouping by maternal age, no further confounders were controlled for; fresh and frozen transfers were included.
Results
Outcomes collected between 2016 and 2018 included total number of cycles, cycles with no embryo transfer, total number of embryos transferred, live birth rate (LBR) per embryo transferred and live birth rate per treatment cycle. Data was available for 2464 PGT-A out of a total 190,010 cycles. LBR per embryo transferred and LBR per treatment cycle (including cycles with no transfer) were significantly higher for all PGT-A vs non-PGT-A age groups (including under 35), with nearly all single embryo transfers (SET) after PGT-A (significantly more in non-PGT-A) and a reduced number of transfers per live birth particularly for cycles with maternal age over 40 years.
Conclusion
The retrospective study provides strong evidence for the benefits of PGT-A in terms of live births per embryo transferred and per cycle started but is limited in terms of matching PGT-A and non-PGT-A cohorts (e.g. in future studies, other confounders could be controlled for). This data challenges the HFEA “red traffic light” guidance that states there is “no evidence that PGT-A is effective or safe” and hence suggests the statement be revisited in the light of this and other new data.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>34766235</pmid><doi>10.1007/s10815-021-02349-0</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-5496-2470</orcidid><orcidid>https://orcid.org/0000-0002-4774-5347</orcidid><orcidid>https://orcid.org/0000-0001-7595-3226</orcidid><orcidid>https://orcid.org/0000-0003-2756-1943</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adult Age Aneuploidy Birth Rate Blastocyst - physiology Data collection Embryo transfer Embryology Embryos Female Fertilization Fertilization - physiology Fertilization in Vitro - statistics & numerical data Genetic screening Genetic Testing - methods Genetics Gynecology Human Genetics Humans Live Birth Maternal Age Medicine Medicine & Public Health Pregnancy Pregnancy Rate Preimplantation Diagnosis - methods Reproductive Medicine Retrospective Studies Statistical analysis United Kingdom |
title | Analysis of IVF live birth outcomes with and without preimplantation genetic testing for aneuploidy (PGT-A): UK Human Fertilisation and Embryology Authority data collection 2016–2018 |
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