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Prevalence and Predictors of Inflammation in Pregnant Women: Multi-Country Analysis From BRINDA Project

OBJECTIVES: Limited data exist on the prevalence and predictors of inflammation during pregnancy. We aimed to characterize the inflammatory pattern and predictors of subclinical inflammation across pregnancy using multi-country analysis. METHODS: The Biomarkers Reflecting Inflammation and Nutritiona...

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Autores principales: Luo, Hanqi, Cole, Chelsea, Jahan, Afrin, Peerson, Janet, Ko, Yi-An, Addo, O Yaw, Suchdev, Parminder, Young, Melissa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9194319/
http://dx.doi.org/10.1093/cdn/nzac067.044
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author Luo, Hanqi
Cole, Chelsea
Jahan, Afrin
Peerson, Janet
Ko, Yi-An
Addo, O Yaw
Suchdev, Parminder
Young, Melissa
author_facet Luo, Hanqi
Cole, Chelsea
Jahan, Afrin
Peerson, Janet
Ko, Yi-An
Addo, O Yaw
Suchdev, Parminder
Young, Melissa
author_sort Luo, Hanqi
collection PubMed
description OBJECTIVES: Limited data exist on the prevalence and predictors of inflammation during pregnancy. We aimed to characterize the inflammatory pattern and predictors of subclinical inflammation across pregnancy using multi-country analysis. METHODS: The Biomarkers Reflecting Inflammation and Nutritional Determinants of Anemia (BRINDA) project compiled 17 datasets of pregnant women (n = 14,077) from 15 countries in both high- and low-income settings. Datasets were included if at least one inflammation biomarker (C-reactive protein, CRP, or α-1-acid glycoprotein, AGP) were collected. We estimated the prevalence of any subclinical inflammation (defined as CRP >5 mg/L or AGP >1 g/L), examined AGP and CRP patterns throughout pregnancy, and assessed the relationship between inflammation and covariates such as maternal age, gestational age, socioeconomic, and water and sanitation factors for each dataset. RESULTS: The prevalence of inflammation varied from 16.6% in Afghanistan to < 1% in Vietnam using elevated AGP and from 52.9% in the US to 7.6% in Vietnam using elevated CRP. Inflammation was common but varied across datasets: >40% in 5 datasets, 20–40% in 6 datasets, 10−< 20% in 5 datasets and < 10% in one dataset. AGP decreased with increasing gestational age (P < 0.01 in all seven datasets with gestational age information); however, the magnitude of decrease in AGP varied by country. In contrast, CRP showed an inconsistent pattern by gestational age. In multivariable models, the predictors of inflammation included age, trimester, urban or rural residence, socioeconomic status, improved sanitation, improved drinking water, lactating and smoking status, although strengths of association differed by dataset. CONCLUSIONS: Although there was considerable heterogeneity in the prevalence of inflammation, inflammation was common across pregnancy in diverse settings. AGP, a measure of long-term inflammation, decreased across pregnancy in all countries, whereas the pattern for CRP was inconsistent. The relationship between socioeconomic and health factors and inflammation varied across countries. FUNDING SOURCES: Bill & Melinda Gates Foundation, Centers for Disease Control and Prevention, Eunice Kennedy Shriver National Institute of Child Health and Human Development, HarvestPlus, and the United States Agency for International Development.
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spelling pubmed-91943192022-06-14 Prevalence and Predictors of Inflammation in Pregnant Women: Multi-Country Analysis From BRINDA Project Luo, Hanqi Cole, Chelsea Jahan, Afrin Peerson, Janet Ko, Yi-An Addo, O Yaw Suchdev, Parminder Young, Melissa Curr Dev Nutr Nutritional Epidemiology OBJECTIVES: Limited data exist on the prevalence and predictors of inflammation during pregnancy. We aimed to characterize the inflammatory pattern and predictors of subclinical inflammation across pregnancy using multi-country analysis. METHODS: The Biomarkers Reflecting Inflammation and Nutritional Determinants of Anemia (BRINDA) project compiled 17 datasets of pregnant women (n = 14,077) from 15 countries in both high- and low-income settings. Datasets were included if at least one inflammation biomarker (C-reactive protein, CRP, or α-1-acid glycoprotein, AGP) were collected. We estimated the prevalence of any subclinical inflammation (defined as CRP >5 mg/L or AGP >1 g/L), examined AGP and CRP patterns throughout pregnancy, and assessed the relationship between inflammation and covariates such as maternal age, gestational age, socioeconomic, and water and sanitation factors for each dataset. RESULTS: The prevalence of inflammation varied from 16.6% in Afghanistan to < 1% in Vietnam using elevated AGP and from 52.9% in the US to 7.6% in Vietnam using elevated CRP. Inflammation was common but varied across datasets: >40% in 5 datasets, 20–40% in 6 datasets, 10−< 20% in 5 datasets and < 10% in one dataset. AGP decreased with increasing gestational age (P < 0.01 in all seven datasets with gestational age information); however, the magnitude of decrease in AGP varied by country. In contrast, CRP showed an inconsistent pattern by gestational age. In multivariable models, the predictors of inflammation included age, trimester, urban or rural residence, socioeconomic status, improved sanitation, improved drinking water, lactating and smoking status, although strengths of association differed by dataset. CONCLUSIONS: Although there was considerable heterogeneity in the prevalence of inflammation, inflammation was common across pregnancy in diverse settings. AGP, a measure of long-term inflammation, decreased across pregnancy in all countries, whereas the pattern for CRP was inconsistent. The relationship between socioeconomic and health factors and inflammation varied across countries. FUNDING SOURCES: Bill & Melinda Gates Foundation, Centers for Disease Control and Prevention, Eunice Kennedy Shriver National Institute of Child Health and Human Development, HarvestPlus, and the United States Agency for International Development. Oxford University Press 2022-06-14 /pmc/articles/PMC9194319/ http://dx.doi.org/10.1093/cdn/nzac067.044 Text en © The Author 2022. Published by Oxford University Press on behalf of The International Society for Human and Animal Mycology. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Nutritional Epidemiology
Luo, Hanqi
Cole, Chelsea
Jahan, Afrin
Peerson, Janet
Ko, Yi-An
Addo, O Yaw
Suchdev, Parminder
Young, Melissa
Prevalence and Predictors of Inflammation in Pregnant Women: Multi-Country Analysis From BRINDA Project
title Prevalence and Predictors of Inflammation in Pregnant Women: Multi-Country Analysis From BRINDA Project
title_full Prevalence and Predictors of Inflammation in Pregnant Women: Multi-Country Analysis From BRINDA Project
title_fullStr Prevalence and Predictors of Inflammation in Pregnant Women: Multi-Country Analysis From BRINDA Project
title_full_unstemmed Prevalence and Predictors of Inflammation in Pregnant Women: Multi-Country Analysis From BRINDA Project
title_short Prevalence and Predictors of Inflammation in Pregnant Women: Multi-Country Analysis From BRINDA Project
title_sort prevalence and predictors of inflammation in pregnant women: multi-country analysis from brinda project
topic Nutritional Epidemiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9194319/
http://dx.doi.org/10.1093/cdn/nzac067.044
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