Malaria, malnutrition, and birthweight: A meta-analysis using individual participant data.
Malaria, malnutrition, and birthweight: A meta-analysis using individual participant data.
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DOI:
10.1371/journal.pmed.1002373
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发表时间:
2017-08
期刊:
影响因子:
15.8
通讯作者:
Rogerson S
中科院分区:
文献类型:
--
作者:
Cates JE;Unger HW;Briand V;Fievet N;Valea I;Tinto H;D'Alessandro U;Landis SH;Adu-Afarwuah S;Dewey KG;Ter Kuile FO;Desai M;Dellicour S;Ouma P;Gutman J;Oneko M;Slutsker L;Terlouw DJ;Kariuki S;Ayisi J;Madanitsa M;Mwapasa V;Ashorn P;Maleta K;Mueller I;Stanisic D;Schmiegelow C;Lusingu JPA;van Eijk AM;Bauserman M;Adair L;Cole SR;Westreich D;Meshnick S;Rogerson S
Four studies previously indicated that the effect of malaria infection during pregnancy on the risk of low birthweight (LBW; <2,500 g) may depend upon maternal nutritional status. We investigated this dependence further using a large, diverse study population. We evaluated the interaction between maternal malaria infection and maternal anthropometric status on the risk of LBW using pooled data from 14,633 pregnancies from 13 studies (6 cohort studies and 7 randomized controlled trials) conducted in Africa and the Western Pacific from 1996–2015. Studies were identified by the Maternal Malaria and Malnutrition (M3) initiative using a convenience sampling approach and were eligible for pooling given adequate ethical approval and availability of essential variables. Study-specific adjusted effect estimates were calculated using inverse probability of treatment-weighted linear and log-binomial regression models and pooled using a random-effects model. The adjusted risk of delivering a baby with LBW was 8.8% among women with malaria infection at antenatal enrollment compared to 7.7% among uninfected women (adjusted risk ratio [aRR] 1.14 [95% confidence interval (CI): 0.91, 1.42]; N = 13,613), 10.5% among women with malaria infection at delivery compared to 7.9% among uninfected women (aRR 1.32 [95% CI: 1.08, 1.62]; N = 11,826), and 15.3% among women with low mid-upper arm circumference (MUAC <23 cm) at enrollment compared to 9.5% among women with MUAC ≥ 23 cm (aRR 1.60 [95% CI: 1.36, 1.87]; N = 9,008). The risk of delivering a baby with LBW was 17.8% among women with both malaria infection and low MUAC at enrollment compared to 8.4% among uninfected women with MUAC ≥ 23 cm (joint aRR 2.13 [95% CI: 1.21, 3.73]; N = 8,152). There was no evidence of synergism (i.e., excess risk due to interaction) between malaria infection and MUAC on the multiplicative (p = 0.5) or additive scale (p = 0.9). Results were similar using body mass index (BMI) as an anthropometric indicator of nutritional status. Meta-regression results indicated that there may be multiplicative interaction between malaria infection at enrollment and low MUAC within studies conducted in Africa; however, this finding was not consistent on the additive scale, when accounting for multiple comparisons, or when using other definitions of malaria and malnutrition. The major limitations of the study included availability of only 2 cross-sectional measurements of malaria and the limited availability of ultrasound-based pregnancy dating to assess impacts on preterm birth and fetal growth in all studies. Pregnant women with malnutrition and malaria infection are at increased risk of LBW compared to women with only 1 risk factor or none, but malaria and malnutrition do not act synergistically. In a meta-analysis using individual participant data, Jordan Cates and colleagues explore potential interactions between malaria and nutrition during pregnancy and their associations with low birthweight. More than 125 million pregnant women are at risk of malaria in pregnancy annually, producing detrimental effects on maternal, newborn, and infant health. Maternal undernutrition is estimated to be responsible for 800,000 newborn deaths annually. Prior evidence from 4 small studies indicated that the harmful impact of malaria on fetal growth and birthweight (BW) may depend upon the macronutrient nutritional status of the mother. If malaria and maternal undernutrition have synergistic negative impacts on pregnancy outcomes, interventions targeted to high-risk women might provide substantial public benefit. The present study provides a robust assessment of potential malaria–nutrition interactions in pregnancy and overcomes size and methodological limitations of earlier exploratory studies. We present a large, pooled analysis of individual participant data from 13 studies conducted in sub-Saharan Africa and the Western Pacific investigating the interaction between maternal malaria infection and malnutrition on the risk of low birthweight (LBW) and reduced mean BW. The findings suggest that women who are both infected with malaria and malnourished are at greater risk of LBW than their uninfected, well-nourished counterparts. However, the study found no conclusive evidence of interaction between the 2, i.e., the impact of malaria on BW was independent of the macronutrient nutritional status of the mother. Subgroup analyses did find that studies conducted just in Africa had slight evidence of interaction, but this was not consistent throughout all analyses. Although there was no overall evidence of malaria–nutrition interactions, more than 1 in 3 pregnant women suffered from malaria and/or undernutrition, emphasizing the importance of joint approaches to decrease maternal malaria and improve nutrition to minimize adverse pregnancy outcomes.
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DOI:
10.4269/ajtmh.2010.10-0264
发表时间:
2010-12-01
影响因子:
3.3
作者:
Luntamo, Mari;Kulmala, Teija;Ashorn, Per
通讯作者:
Ashorn, Per
影响因子:
3
作者:
Bich-Tram Huynh;Fievet, Nadine;Cot, Michel
通讯作者:
Cot, Michel
影响因子:
2.9
作者:
Mombo-Ngoma, Ghyslain;Mackanga, Jean Rodolphe;Ramharter, Michael
通讯作者:
Ramharter, Michael
影响因子:
6.3
作者:
Downs, SH;Black, N
通讯作者:
Black, N
DOI:
10.1016/0197-2456(86)90046-2
发表时间:
1986-09-01
期刊:
CONTROLLED CLINICAL TRIALS
影响因子:
--
作者:
DERSIMONIAN, R;LAIRD, N
通讯作者:
LAIRD, N