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Prediction of gestational age with symphysis-fundal height and estimated uterine volume in a pregnancy cohort in Sylhet, Bangladesh
OBJECTIVE: To improve the accuracy of the prediction of gestational age (GA) before birth with the standardised measurement of symphysis-fundal height (SFH), estimation of uterine volume, and statistical modelling including maternal anthropometrics and other factors. DESIGN: Prospective pregnancy co...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7069288/ https://www.ncbi.nlm.nih.gov/pubmed/32169927 http://dx.doi.org/10.1136/bmjopen-2019-034942 |
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author | Lee, Anne C C Whelan, Rachel Bably, Nazmun Nahar Schaeffer, Lauren E Rahman, Sayedur Ahmed, Salahuddin Moin, Syed Mamun Ibne Begum, Nazma Quaiyum, Mohammad Abdul Rosner, Bernard Litch, James A Baqui, Abdullah H Wylie, Blair J |
author_facet | Lee, Anne C C Whelan, Rachel Bably, Nazmun Nahar Schaeffer, Lauren E Rahman, Sayedur Ahmed, Salahuddin Moin, Syed Mamun Ibne Begum, Nazma Quaiyum, Mohammad Abdul Rosner, Bernard Litch, James A Baqui, Abdullah H Wylie, Blair J |
author_sort | Lee, Anne C C |
collection | PubMed |
description | OBJECTIVE: To improve the accuracy of the prediction of gestational age (GA) before birth with the standardised measurement of symphysis-fundal height (SFH), estimation of uterine volume, and statistical modelling including maternal anthropometrics and other factors. DESIGN: Prospective pregnancy cohort study. SETTING: Rural communities in Sylhet, Bangladesh. PARTICIPANTS: 1516 women with singleton pregnancies with early pregnancy ultrasound dating (<20 weeks); 1486 completed follow-up. METHODS: SFH and abdominal girth were measured at subsequent antenatal care (ANC) visits by community health workers at 24 to 28, 32 to 36, and/or >37 weeks gestation. An estimated uterine volume (EUV) was calculated from these measures. Data on pregnancy characteristics and other maternal anthropometrics were also collected. PRIMARY OUTCOME MEASURE: GA at subsequent ANC visits, as defined by early ultrasound dating. RESULTS: 1486 (98%) women had at least one subsequent ANC visit, 1102 (74%) women had two subsequent ANC visits, and 748 (50%) had three visits. Using the common clinical practice of approximating the GA (in weeks) with the SFH measurement (cm), SFH systematically underestimated GA in late pregnancy (mean difference −4.4 weeks, 95% limits of agreement −12.5 to 3.7). For the classification of GA <28 weeks, SFH <26 cm had 85% sensitivity and 81% specificity; and for GA <34 weeks, SFH <29 cm had 83% sensitivity and 71% specificity. EUV had similar diagnostic accuracy. Despite rigorous statistical modelling of SFH, accounting for repeated longitudinal measurements and additional predictors, the best model without including a known last menstrual period predicted 95% of pregnancy dates within ±7.4 weeks of early ultrasound dating. CONCLUSIONS: We were unable to predict GA with a high degree of accuracy before birth using maternal anthropometric measures and other available maternal characteristics. Efforts to improve GA dating in low- and middle-income countries before birth should focus on increasing coverage and training of ultrasonography. TRIAL REGISTRATION NUMBER: NCT01572532 |
format | Online Article Text |
id | pubmed-7069288 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-70692882020-03-20 Prediction of gestational age with symphysis-fundal height and estimated uterine volume in a pregnancy cohort in Sylhet, Bangladesh Lee, Anne C C Whelan, Rachel Bably, Nazmun Nahar Schaeffer, Lauren E Rahman, Sayedur Ahmed, Salahuddin Moin, Syed Mamun Ibne Begum, Nazma Quaiyum, Mohammad Abdul Rosner, Bernard Litch, James A Baqui, Abdullah H Wylie, Blair J BMJ Open Reproductive Medicine OBJECTIVE: To improve the accuracy of the prediction of gestational age (GA) before birth with the standardised measurement of symphysis-fundal height (SFH), estimation of uterine volume, and statistical modelling including maternal anthropometrics and other factors. DESIGN: Prospective pregnancy cohort study. SETTING: Rural communities in Sylhet, Bangladesh. PARTICIPANTS: 1516 women with singleton pregnancies with early pregnancy ultrasound dating (<20 weeks); 1486 completed follow-up. METHODS: SFH and abdominal girth were measured at subsequent antenatal care (ANC) visits by community health workers at 24 to 28, 32 to 36, and/or >37 weeks gestation. An estimated uterine volume (EUV) was calculated from these measures. Data on pregnancy characteristics and other maternal anthropometrics were also collected. PRIMARY OUTCOME MEASURE: GA at subsequent ANC visits, as defined by early ultrasound dating. RESULTS: 1486 (98%) women had at least one subsequent ANC visit, 1102 (74%) women had two subsequent ANC visits, and 748 (50%) had three visits. Using the common clinical practice of approximating the GA (in weeks) with the SFH measurement (cm), SFH systematically underestimated GA in late pregnancy (mean difference −4.4 weeks, 95% limits of agreement −12.5 to 3.7). For the classification of GA <28 weeks, SFH <26 cm had 85% sensitivity and 81% specificity; and for GA <34 weeks, SFH <29 cm had 83% sensitivity and 71% specificity. EUV had similar diagnostic accuracy. Despite rigorous statistical modelling of SFH, accounting for repeated longitudinal measurements and additional predictors, the best model without including a known last menstrual period predicted 95% of pregnancy dates within ±7.4 weeks of early ultrasound dating. CONCLUSIONS: We were unable to predict GA with a high degree of accuracy before birth using maternal anthropometric measures and other available maternal characteristics. Efforts to improve GA dating in low- and middle-income countries before birth should focus on increasing coverage and training of ultrasonography. TRIAL REGISTRATION NUMBER: NCT01572532 BMJ Publishing Group 2020-03-12 /pmc/articles/PMC7069288/ /pubmed/32169927 http://dx.doi.org/10.1136/bmjopen-2019-034942 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Reproductive Medicine Lee, Anne C C Whelan, Rachel Bably, Nazmun Nahar Schaeffer, Lauren E Rahman, Sayedur Ahmed, Salahuddin Moin, Syed Mamun Ibne Begum, Nazma Quaiyum, Mohammad Abdul Rosner, Bernard Litch, James A Baqui, Abdullah H Wylie, Blair J Prediction of gestational age with symphysis-fundal height and estimated uterine volume in a pregnancy cohort in Sylhet, Bangladesh |
title | Prediction of gestational age with symphysis-fundal height and estimated uterine volume in a pregnancy cohort in Sylhet, Bangladesh |
title_full | Prediction of gestational age with symphysis-fundal height and estimated uterine volume in a pregnancy cohort in Sylhet, Bangladesh |
title_fullStr | Prediction of gestational age with symphysis-fundal height and estimated uterine volume in a pregnancy cohort in Sylhet, Bangladesh |
title_full_unstemmed | Prediction of gestational age with symphysis-fundal height and estimated uterine volume in a pregnancy cohort in Sylhet, Bangladesh |
title_short | Prediction of gestational age with symphysis-fundal height and estimated uterine volume in a pregnancy cohort in Sylhet, Bangladesh |
title_sort | prediction of gestational age with symphysis-fundal height and estimated uterine volume in a pregnancy cohort in sylhet, bangladesh |
topic | Reproductive Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7069288/ https://www.ncbi.nlm.nih.gov/pubmed/32169927 http://dx.doi.org/10.1136/bmjopen-2019-034942 |
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