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The assessment of gestational age: a comparison of different methods from a malaria pregnancy cohort in sub-Saharan Africa

BACKGROUND: Determining gestational age in resource-poor settings is challenging because of limited availability of ultrasound technology and late first presentation to antenatal clinic. Last menstrual period (LMP), symphysio-pubis fundal height (SFH) and Ballard Score (BS) at delivery are therefore...

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Autores principales: Unger, Holger, Thriemer, Kamala, Ley, Benedikt, Tinto, Halidou, Traoré, Maminata, Valea, Innocent, Tagbor, Harry, Antwi, Gifty, Gbekor, Prosper, Nambozi, Michael, Kabuya, Jean-Bertin Bukasa, Mulenga, Modest, Mwapasa, Victor, Chapotera, Gertrude, Madanitsa, Mwayiwawo, Rulisa, Stephen, de Crop, Maaike, Claeys, Yves, Ravinetto, Raffaella, D’Alessandro, Umberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6323786/
https://www.ncbi.nlm.nih.gov/pubmed/30621604
http://dx.doi.org/10.1186/s12884-018-2128-z
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author Unger, Holger
Thriemer, Kamala
Ley, Benedikt
Tinto, Halidou
Traoré, Maminata
Valea, Innocent
Tagbor, Harry
Antwi, Gifty
Gbekor, Prosper
Nambozi, Michael
Kabuya, Jean-Bertin Bukasa
Mulenga, Modest
Mwapasa, Victor
Chapotera, Gertrude
Madanitsa, Mwayiwawo
Rulisa, Stephen
de Crop, Maaike
Claeys, Yves
Ravinetto, Raffaella
D’Alessandro, Umberto
author_facet Unger, Holger
Thriemer, Kamala
Ley, Benedikt
Tinto, Halidou
Traoré, Maminata
Valea, Innocent
Tagbor, Harry
Antwi, Gifty
Gbekor, Prosper
Nambozi, Michael
Kabuya, Jean-Bertin Bukasa
Mulenga, Modest
Mwapasa, Victor
Chapotera, Gertrude
Madanitsa, Mwayiwawo
Rulisa, Stephen
de Crop, Maaike
Claeys, Yves
Ravinetto, Raffaella
D’Alessandro, Umberto
author_sort Unger, Holger
collection PubMed
description BACKGROUND: Determining gestational age in resource-poor settings is challenging because of limited availability of ultrasound technology and late first presentation to antenatal clinic. Last menstrual period (LMP), symphysio-pubis fundal height (SFH) and Ballard Score (BS) at delivery are therefore often used. We assessed the accuracy of LMP, SFH, and BS to estimate gestational age at delivery and preterm birth compared to ultrasound (US) using a large dataset derived from a randomized controlled trial in pregnant malaria patients in four African countries. METHODS: Mean and median gestational age for US, LMP, SFH and BS were calculated for the entire study population and stratified by country. Correlation coefficients were calculated using Pearson’s rho, and Bland Altman plots were used to calculate mean differences in findings with 95% limit of agreements. Sensitivity, specificity, positive predictive value and negative predictive value were calculated considering US as reference method to identify term and preterm babies. RESULTS: A total of 1630 women with P. falciparum infection and a gestational age > 24 weeks determined by ultrasound at enrolment were included in the analysis. The mean gestational age at delivery using US was 38.7 weeks (95%CI: 38.6–38.8), by LMP, 38.4 weeks (95%CI: 38.0–38.9), by SFH, 38.3 weeks (95%CI: 38.2–38.5), and by BS 38.0 weeks (95%CI: 37.9–38.1) (p < 0.001). Correlation between US and any of the other three methods was poor to moderate. Sensitivity and specificity to determine prematurity were 0.63 (95%CI 0.50–0.75) and 0.72 (95%CI, 0.66–0.76) for LMP, 0.80 (95%CI 0.74–0.85) and 0.74 (95%CI 0.72–0.76) for SFH and 0.42 (95%CI 0.35–0.49) and 0.77 (95%CI 0.74–0.79) for BS. CONCLUSIONS: In settings with limited access to ultrasound, and in women who had been treated with P. falciparum malaria, SFH may be the most useful antenatal tool to date a pregnancy when women present first in second and third trimester. The Ballard postnatal maturation assessment has a limited role and lacks precision. Improving ultrasound facilities and skills, and early attendance, together with the development of new technologies such as automated image analysis and new postnatal methods to assess gestational age, are essential for the study and management of preterm birth in low-income settings. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12884-018-2128-z) contains supplementary material, which is available to authorized users.
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spelling pubmed-63237862019-01-11 The assessment of gestational age: a comparison of different methods from a malaria pregnancy cohort in sub-Saharan Africa Unger, Holger Thriemer, Kamala Ley, Benedikt Tinto, Halidou Traoré, Maminata Valea, Innocent Tagbor, Harry Antwi, Gifty Gbekor, Prosper Nambozi, Michael Kabuya, Jean-Bertin Bukasa Mulenga, Modest Mwapasa, Victor Chapotera, Gertrude Madanitsa, Mwayiwawo Rulisa, Stephen de Crop, Maaike Claeys, Yves Ravinetto, Raffaella D’Alessandro, Umberto BMC Pregnancy Childbirth Research Article BACKGROUND: Determining gestational age in resource-poor settings is challenging because of limited availability of ultrasound technology and late first presentation to antenatal clinic. Last menstrual period (LMP), symphysio-pubis fundal height (SFH) and Ballard Score (BS) at delivery are therefore often used. We assessed the accuracy of LMP, SFH, and BS to estimate gestational age at delivery and preterm birth compared to ultrasound (US) using a large dataset derived from a randomized controlled trial in pregnant malaria patients in four African countries. METHODS: Mean and median gestational age for US, LMP, SFH and BS were calculated for the entire study population and stratified by country. Correlation coefficients were calculated using Pearson’s rho, and Bland Altman plots were used to calculate mean differences in findings with 95% limit of agreements. Sensitivity, specificity, positive predictive value and negative predictive value were calculated considering US as reference method to identify term and preterm babies. RESULTS: A total of 1630 women with P. falciparum infection and a gestational age > 24 weeks determined by ultrasound at enrolment were included in the analysis. The mean gestational age at delivery using US was 38.7 weeks (95%CI: 38.6–38.8), by LMP, 38.4 weeks (95%CI: 38.0–38.9), by SFH, 38.3 weeks (95%CI: 38.2–38.5), and by BS 38.0 weeks (95%CI: 37.9–38.1) (p < 0.001). Correlation between US and any of the other three methods was poor to moderate. Sensitivity and specificity to determine prematurity were 0.63 (95%CI 0.50–0.75) and 0.72 (95%CI, 0.66–0.76) for LMP, 0.80 (95%CI 0.74–0.85) and 0.74 (95%CI 0.72–0.76) for SFH and 0.42 (95%CI 0.35–0.49) and 0.77 (95%CI 0.74–0.79) for BS. CONCLUSIONS: In settings with limited access to ultrasound, and in women who had been treated with P. falciparum malaria, SFH may be the most useful antenatal tool to date a pregnancy when women present first in second and third trimester. The Ballard postnatal maturation assessment has a limited role and lacks precision. Improving ultrasound facilities and skills, and early attendance, together with the development of new technologies such as automated image analysis and new postnatal methods to assess gestational age, are essential for the study and management of preterm birth in low-income settings. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12884-018-2128-z) contains supplementary material, which is available to authorized users. BioMed Central 2019-01-08 /pmc/articles/PMC6323786/ /pubmed/30621604 http://dx.doi.org/10.1186/s12884-018-2128-z Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Unger, Holger
Thriemer, Kamala
Ley, Benedikt
Tinto, Halidou
Traoré, Maminata
Valea, Innocent
Tagbor, Harry
Antwi, Gifty
Gbekor, Prosper
Nambozi, Michael
Kabuya, Jean-Bertin Bukasa
Mulenga, Modest
Mwapasa, Victor
Chapotera, Gertrude
Madanitsa, Mwayiwawo
Rulisa, Stephen
de Crop, Maaike
Claeys, Yves
Ravinetto, Raffaella
D’Alessandro, Umberto
The assessment of gestational age: a comparison of different methods from a malaria pregnancy cohort in sub-Saharan Africa
title The assessment of gestational age: a comparison of different methods from a malaria pregnancy cohort in sub-Saharan Africa
title_full The assessment of gestational age: a comparison of different methods from a malaria pregnancy cohort in sub-Saharan Africa
title_fullStr The assessment of gestational age: a comparison of different methods from a malaria pregnancy cohort in sub-Saharan Africa
title_full_unstemmed The assessment of gestational age: a comparison of different methods from a malaria pregnancy cohort in sub-Saharan Africa
title_short The assessment of gestational age: a comparison of different methods from a malaria pregnancy cohort in sub-Saharan Africa
title_sort assessment of gestational age: a comparison of different methods from a malaria pregnancy cohort in sub-saharan africa
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6323786/
https://www.ncbi.nlm.nih.gov/pubmed/30621604
http://dx.doi.org/10.1186/s12884-018-2128-z
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