Third‐trimester growth diversity in small fetuses classified as appropriate‐for‐gestational age or small‐for‐gestational age at birth

ABSTRACT Objective We have shown previously that third‐trimester growth in small fetuses (estimated fetal weight (EFW)

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Veröffentlicht in:Ultrasound in obstetrics & gynecology 2021-12, Vol.58 (6), p.882-891
Hauptverfasser: Deter, R. L., Lee, W., Dicker, P., Tully, E. C., Cody, F., Malone, F. D., Flood, K. M.
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container_title Ultrasound in obstetrics & gynecology
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creator Deter, R. L.
Lee, W.
Dicker, P.
Tully, E. C.
Cody, F.
Malone, F. D.
Flood, K. M.
description ABSTRACT Objective We have shown previously that third‐trimester growth in small fetuses (estimated fetal weight (EFW)
doi_str_mv 10.1002/uog.23688
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L. ; Lee, W. ; Dicker, P. ; Tully, E. C. ; Cody, F. ; Malone, F. D. ; Flood, K. M.</creator><creatorcontrib>Deter, R. L. ; Lee, W. ; Dicker, P. ; Tully, E. C. ; Cody, F. ; Malone, F. D. ; Flood, K. M.</creatorcontrib><description>ABSTRACT Objective We have shown previously that third‐trimester growth in small fetuses (estimated fetal weight (EFW) &lt; 10th percentile) with birth weight (BW) &lt; 10th percentile is heterogeneous using individualized growth assessment (IGA). We aimed to test our hypothesis that individual growth patterns in small fetuses with BW &gt; 10th percentile are also variable but in different ways. Methods This was a study of 191 cases with EFW &lt; 10th percentile and BW &gt; 10th percentile (appropriate‐for‐gestational‐age (AGA) cohort), derived from the PORTO study. Composite size parameters were used to quantify growth pathology at individual third‐trimester timepoints (individual composite prenatal growth assessment score (−icPGAS)). The fetal growth pathology score 1 (−FGPS1), calculated cumulatively from serial −icPGAS values, was used to characterize third‐trimester growth patterns. Vascular‐system evaluation included umbilical artery (UA) and middle cerebral artery (MCA) Doppler velocimetry. Outcome variables were birth age (preterm/term delivery) and BW (expressed as growth potential realization index for weight (GPRIWT) and percentile). The findings from the AGA cohort were compared with those from small fetuses (EFW &lt; 10th percentile) with BW &lt; 10th percentile (small‐for‐gestational‐age (SGA) cohort). Results The AGA cohort was found to have 134 fetuses (70%) with normal growth pattern and 57 (30%) with growth restriction based on IGA criteria. Seven growth‐restriction −FGPS1 patterns were observed, including the previously defined progressive, late, adaptive and recovering types. The recovering type was the most common growth pattern in the AGA cohort (50.9%). About one‐third of fetuses without any evidence of growth restriction had significant unexplained abnormalities in the UA (34%) and MCA (31%) and elevated mean GPRIWT values (113 ± 12.5%). Comparison of the AGA and SGA cohorts indicated a significant difference in the distribution of −FGPS1 growth patterns (P = 0.0001). Compared with the SGA cohort, the AGA cohort had more fetuses with a normal growth pattern (70% vs 38%) and fewer cases with growth restriction (30% vs 62%). While the recovering type was the most common growth‐restriction pattern in the AGA cohort (51%), the progressive type was the primary growth‐restriction pattern in the SGA cohort (44%). No difference in the incidence of MCA or UA abnormality was found between the SGA and AGA cohorts when comparing subgroups of more than 10 fetuses. Conclusions Both normal‐growth and growth‐restriction patterns were observed in the AGA cohort using IGA, as seen previously in the SGA cohort. The seven types of growth restriction defined in the SGA cohort were also identified in AGA cases, but their distribution was significantly different. In one‐third of cases without evidence of growth pathology in the AGA cohort, Doppler abnormalities in the UA and MCA were seen. This heterogeneity underscores the difficulty of accurate classification of fetal and neonatal growth status using conventional population‐based methods. © 2021 International Society of Ultrasound in Obstetrics and Gynecology.</description><identifier>ISSN: 0960-7692</identifier><identifier>EISSN: 1469-0705</identifier><identifier>DOI: 10.1002/uog.23688</identifier><identifier>PMID: 33998089</identifier><language>eng</language><publisher>Chichester, UK: John Wiley &amp; Sons, Ltd</publisher><subject>Abnormalities ; Adult ; Age ; Birth weight ; Birth Weight - physiology ; birth‐weight classification ; Female ; Fetal Development - physiology ; Fetal Growth Retardation - diagnostic imaging ; Fetal Growth Retardation - physiopathology ; Fetal Weight - physiology ; Fetuses ; Gestational Age ; growth pattern ; Growth patterns ; Gynecology ; Heterogeneity ; Humans ; Immunoglobulin A ; individualized growth assessment ; Infant, Newborn ; Infant, Small for Gestational Age - growth &amp; development ; Longitudinal Studies ; Mathematical analysis ; Middle Cerebral Artery - diagnostic imaging ; Middle Cerebral Artery - embryology ; Neonates ; Obstetrics ; Pathology ; Pregnancy ; Pregnancy Trimester, Third ; Recovering ; Subgroups ; Ultrasonic imaging ; Ultrasonography, Doppler - statistics &amp; numerical data ; Ultrasonography, Prenatal - statistics &amp; numerical data ; Umbilical Arteries - diagnostic imaging ; Umbilical Arteries - embryology ; Velocimetry</subject><ispartof>Ultrasound in obstetrics &amp; gynecology, 2021-12, Vol.58 (6), p.882-891</ispartof><rights>2021 International Society of Ultrasound in Obstetrics and Gynecology.</rights><rights>2021 International Society of Ultrasound in Obstetrics and Gynecology</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3888-a92e9bbe5ff4f1d4154b63625dacc6ed159fdf5326cc53cf91b83ffc9934a9d93</citedby><cites>FETCH-LOGICAL-c3888-a92e9bbe5ff4f1d4154b63625dacc6ed159fdf5326cc53cf91b83ffc9934a9d93</cites><orcidid>0000-0002-3516-6129 ; 0000-0003-1522-160X</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%2Fuog.23688$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fuog.23688$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,1433,27924,27925,45574,45575,46409,46833</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33998089$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Deter, R. L.</creatorcontrib><creatorcontrib>Lee, W.</creatorcontrib><creatorcontrib>Dicker, P.</creatorcontrib><creatorcontrib>Tully, E. C.</creatorcontrib><creatorcontrib>Cody, F.</creatorcontrib><creatorcontrib>Malone, F. D.</creatorcontrib><creatorcontrib>Flood, K. M.</creatorcontrib><title>Third‐trimester growth diversity in small fetuses classified as appropriate‐for‐gestational age or small‐for‐gestational age at birth</title><title>Ultrasound in obstetrics &amp; gynecology</title><addtitle>Ultrasound Obstet Gynecol</addtitle><description>ABSTRACT Objective We have shown previously that third‐trimester growth in small fetuses (estimated fetal weight (EFW) &lt; 10th percentile) with birth weight (BW) &lt; 10th percentile is heterogeneous using individualized growth assessment (IGA). We aimed to test our hypothesis that individual growth patterns in small fetuses with BW &gt; 10th percentile are also variable but in different ways. Methods This was a study of 191 cases with EFW &lt; 10th percentile and BW &gt; 10th percentile (appropriate‐for‐gestational‐age (AGA) cohort), derived from the PORTO study. Composite size parameters were used to quantify growth pathology at individual third‐trimester timepoints (individual composite prenatal growth assessment score (−icPGAS)). The fetal growth pathology score 1 (−FGPS1), calculated cumulatively from serial −icPGAS values, was used to characterize third‐trimester growth patterns. Vascular‐system evaluation included umbilical artery (UA) and middle cerebral artery (MCA) Doppler velocimetry. Outcome variables were birth age (preterm/term delivery) and BW (expressed as growth potential realization index for weight (GPRIWT) and percentile). The findings from the AGA cohort were compared with those from small fetuses (EFW &lt; 10th percentile) with BW &lt; 10th percentile (small‐for‐gestational‐age (SGA) cohort). Results The AGA cohort was found to have 134 fetuses (70%) with normal growth pattern and 57 (30%) with growth restriction based on IGA criteria. Seven growth‐restriction −FGPS1 patterns were observed, including the previously defined progressive, late, adaptive and recovering types. The recovering type was the most common growth pattern in the AGA cohort (50.9%). About one‐third of fetuses without any evidence of growth restriction had significant unexplained abnormalities in the UA (34%) and MCA (31%) and elevated mean GPRIWT values (113 ± 12.5%). Comparison of the AGA and SGA cohorts indicated a significant difference in the distribution of −FGPS1 growth patterns (P = 0.0001). Compared with the SGA cohort, the AGA cohort had more fetuses with a normal growth pattern (70% vs 38%) and fewer cases with growth restriction (30% vs 62%). While the recovering type was the most common growth‐restriction pattern in the AGA cohort (51%), the progressive type was the primary growth‐restriction pattern in the SGA cohort (44%). No difference in the incidence of MCA or UA abnormality was found between the SGA and AGA cohorts when comparing subgroups of more than 10 fetuses. Conclusions Both normal‐growth and growth‐restriction patterns were observed in the AGA cohort using IGA, as seen previously in the SGA cohort. The seven types of growth restriction defined in the SGA cohort were also identified in AGA cases, but their distribution was significantly different. In one‐third of cases without evidence of growth pathology in the AGA cohort, Doppler abnormalities in the UA and MCA were seen. This heterogeneity underscores the difficulty of accurate classification of fetal and neonatal growth status using conventional population‐based methods. © 2021 International Society of Ultrasound in Obstetrics and Gynecology.</description><subject>Abnormalities</subject><subject>Adult</subject><subject>Age</subject><subject>Birth weight</subject><subject>Birth Weight - physiology</subject><subject>birth‐weight classification</subject><subject>Female</subject><subject>Fetal Development - physiology</subject><subject>Fetal Growth Retardation - diagnostic imaging</subject><subject>Fetal Growth Retardation - physiopathology</subject><subject>Fetal Weight - physiology</subject><subject>Fetuses</subject><subject>Gestational Age</subject><subject>growth pattern</subject><subject>Growth patterns</subject><subject>Gynecology</subject><subject>Heterogeneity</subject><subject>Humans</subject><subject>Immunoglobulin A</subject><subject>individualized growth assessment</subject><subject>Infant, Newborn</subject><subject>Infant, Small for Gestational Age - growth &amp; development</subject><subject>Longitudinal Studies</subject><subject>Mathematical analysis</subject><subject>Middle Cerebral Artery - diagnostic imaging</subject><subject>Middle Cerebral Artery - embryology</subject><subject>Neonates</subject><subject>Obstetrics</subject><subject>Pathology</subject><subject>Pregnancy</subject><subject>Pregnancy Trimester, Third</subject><subject>Recovering</subject><subject>Subgroups</subject><subject>Ultrasonic imaging</subject><subject>Ultrasonography, Doppler - statistics &amp; numerical data</subject><subject>Ultrasonography, Prenatal - statistics &amp; numerical data</subject><subject>Umbilical Arteries - diagnostic imaging</subject><subject>Umbilical Arteries - embryology</subject><subject>Velocimetry</subject><issn>0960-7692</issn><issn>1469-0705</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kb1OHDEURq0oCDZAkReILKUhxYD_xmuXEQokEhIN1COPfb1rNLPe2J6g7XiD8Iw8SZwMoUCi8W2Ojj75IPSRklNKCDub4uqUcanUO7SgQuqGLEn7Hi2IlqRZSs0O0Iec7wghUnC5jw4411oRpRfo9806JPf08FhSGCEXSHiV4n1ZYxd-Qcqh7HDY4DyaYcAeypQhYzuYnIMP4LDJ2Gy3KW5TMAWqx8dU31VVmRLixgzYrADHNCveBEzBfUhlfYT2vBkyHD_fQ3R78e3m_HtzdX354_zrVWO5UqoxmoHue2i9F546QVvRSy5Z64y1EhxttXe-5Uxa23LrNe0V995qzYXRTvNDdDJ76_afUx3TjSFbGAazgTjljrVMCS6Wmlb08yv0Lk6pDq-UpIpRQfmyUl9myqaYcwLf1S8ZTdp1lHR_K3W1UvevUmU_PRunfgT3Qv7PUoGzGbgPA-zeNnW315ez8g8pPqSx</recordid><startdate>202112</startdate><enddate>202112</enddate><creator>Deter, R. L.</creator><creator>Lee, W.</creator><creator>Dicker, P.</creator><creator>Tully, E. C.</creator><creator>Cody, F.</creator><creator>Malone, F. D.</creator><creator>Flood, K. M.</creator><general>John Wiley &amp; Sons, Ltd</general><general>Wiley Subscription Services, Inc</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>7QO</scope><scope>8FD</scope><scope>FR3</scope><scope>K9.</scope><scope>P64</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-3516-6129</orcidid><orcidid>https://orcid.org/0000-0003-1522-160X</orcidid></search><sort><creationdate>202112</creationdate><title>Third‐trimester growth diversity in small fetuses classified as appropriate‐for‐gestational age or small‐for‐gestational age at birth</title><author>Deter, R. L. ; Lee, W. ; Dicker, P. ; Tully, E. C. ; Cody, F. ; Malone, F. D. ; Flood, K. M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3888-a92e9bbe5ff4f1d4154b63625dacc6ed159fdf5326cc53cf91b83ffc9934a9d93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Abnormalities</topic><topic>Adult</topic><topic>Age</topic><topic>Birth weight</topic><topic>Birth Weight - physiology</topic><topic>birth‐weight classification</topic><topic>Female</topic><topic>Fetal Development - physiology</topic><topic>Fetal Growth Retardation - diagnostic imaging</topic><topic>Fetal Growth Retardation - physiopathology</topic><topic>Fetal Weight - physiology</topic><topic>Fetuses</topic><topic>Gestational Age</topic><topic>growth pattern</topic><topic>Growth patterns</topic><topic>Gynecology</topic><topic>Heterogeneity</topic><topic>Humans</topic><topic>Immunoglobulin A</topic><topic>individualized growth assessment</topic><topic>Infant, Newborn</topic><topic>Infant, Small for Gestational Age - growth &amp; development</topic><topic>Longitudinal Studies</topic><topic>Mathematical analysis</topic><topic>Middle Cerebral Artery - diagnostic imaging</topic><topic>Middle Cerebral Artery - embryology</topic><topic>Neonates</topic><topic>Obstetrics</topic><topic>Pathology</topic><topic>Pregnancy</topic><topic>Pregnancy Trimester, Third</topic><topic>Recovering</topic><topic>Subgroups</topic><topic>Ultrasonic imaging</topic><topic>Ultrasonography, Doppler - statistics &amp; numerical data</topic><topic>Ultrasonography, Prenatal - statistics &amp; numerical data</topic><topic>Umbilical Arteries - diagnostic imaging</topic><topic>Umbilical Arteries - embryology</topic><topic>Velocimetry</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Deter, R. L.</creatorcontrib><creatorcontrib>Lee, W.</creatorcontrib><creatorcontrib>Dicker, P.</creatorcontrib><creatorcontrib>Tully, E. C.</creatorcontrib><creatorcontrib>Cody, F.</creatorcontrib><creatorcontrib>Malone, F. D.</creatorcontrib><creatorcontrib>Flood, K. M.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Ultrasound in obstetrics &amp; gynecology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Deter, R. L.</au><au>Lee, W.</au><au>Dicker, P.</au><au>Tully, E. C.</au><au>Cody, F.</au><au>Malone, F. D.</au><au>Flood, K. M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Third‐trimester growth diversity in small fetuses classified as appropriate‐for‐gestational age or small‐for‐gestational age at birth</atitle><jtitle>Ultrasound in obstetrics &amp; gynecology</jtitle><addtitle>Ultrasound Obstet Gynecol</addtitle><date>2021-12</date><risdate>2021</risdate><volume>58</volume><issue>6</issue><spage>882</spage><epage>891</epage><pages>882-891</pages><issn>0960-7692</issn><eissn>1469-0705</eissn><abstract>ABSTRACT Objective We have shown previously that third‐trimester growth in small fetuses (estimated fetal weight (EFW) &lt; 10th percentile) with birth weight (BW) &lt; 10th percentile is heterogeneous using individualized growth assessment (IGA). We aimed to test our hypothesis that individual growth patterns in small fetuses with BW &gt; 10th percentile are also variable but in different ways. Methods This was a study of 191 cases with EFW &lt; 10th percentile and BW &gt; 10th percentile (appropriate‐for‐gestational‐age (AGA) cohort), derived from the PORTO study. Composite size parameters were used to quantify growth pathology at individual third‐trimester timepoints (individual composite prenatal growth assessment score (−icPGAS)). The fetal growth pathology score 1 (−FGPS1), calculated cumulatively from serial −icPGAS values, was used to characterize third‐trimester growth patterns. Vascular‐system evaluation included umbilical artery (UA) and middle cerebral artery (MCA) Doppler velocimetry. Outcome variables were birth age (preterm/term delivery) and BW (expressed as growth potential realization index for weight (GPRIWT) and percentile). The findings from the AGA cohort were compared with those from small fetuses (EFW &lt; 10th percentile) with BW &lt; 10th percentile (small‐for‐gestational‐age (SGA) cohort). Results The AGA cohort was found to have 134 fetuses (70%) with normal growth pattern and 57 (30%) with growth restriction based on IGA criteria. Seven growth‐restriction −FGPS1 patterns were observed, including the previously defined progressive, late, adaptive and recovering types. The recovering type was the most common growth pattern in the AGA cohort (50.9%). About one‐third of fetuses without any evidence of growth restriction had significant unexplained abnormalities in the UA (34%) and MCA (31%) and elevated mean GPRIWT values (113 ± 12.5%). Comparison of the AGA and SGA cohorts indicated a significant difference in the distribution of −FGPS1 growth patterns (P = 0.0001). Compared with the SGA cohort, the AGA cohort had more fetuses with a normal growth pattern (70% vs 38%) and fewer cases with growth restriction (30% vs 62%). While the recovering type was the most common growth‐restriction pattern in the AGA cohort (51%), the progressive type was the primary growth‐restriction pattern in the SGA cohort (44%). No difference in the incidence of MCA or UA abnormality was found between the SGA and AGA cohorts when comparing subgroups of more than 10 fetuses. Conclusions Both normal‐growth and growth‐restriction patterns were observed in the AGA cohort using IGA, as seen previously in the SGA cohort. The seven types of growth restriction defined in the SGA cohort were also identified in AGA cases, but their distribution was significantly different. In one‐third of cases without evidence of growth pathology in the AGA cohort, Doppler abnormalities in the UA and MCA were seen. This heterogeneity underscores the difficulty of accurate classification of fetal and neonatal growth status using conventional population‐based methods. © 2021 International Society of Ultrasound in Obstetrics and Gynecology.</abstract><cop>Chichester, UK</cop><pub>John Wiley &amp; Sons, Ltd</pub><pmid>33998089</pmid><doi>10.1002/uog.23688</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-3516-6129</orcidid><orcidid>https://orcid.org/0000-0003-1522-160X</orcidid><oa>free_for_read</oa></addata></record>
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subjects Abnormalities
Adult
Age
Birth weight
Birth Weight - physiology
birth‐weight classification
Female
Fetal Development - physiology
Fetal Growth Retardation - diagnostic imaging
Fetal Growth Retardation - physiopathology
Fetal Weight - physiology
Fetuses
Gestational Age
growth pattern
Growth patterns
Gynecology
Heterogeneity
Humans
Immunoglobulin A
individualized growth assessment
Infant, Newborn
Infant, Small for Gestational Age - growth & development
Longitudinal Studies
Mathematical analysis
Middle Cerebral Artery - diagnostic imaging
Middle Cerebral Artery - embryology
Neonates
Obstetrics
Pathology
Pregnancy
Pregnancy Trimester, Third
Recovering
Subgroups
Ultrasonic imaging
Ultrasonography, Doppler - statistics & numerical data
Ultrasonography, Prenatal - statistics & numerical data
Umbilical Arteries - diagnostic imaging
Umbilical Arteries - embryology
Velocimetry
title Third‐trimester growth diversity in small fetuses classified as appropriate‐for‐gestational age or small‐for‐gestational age at birth
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