Unger Holger W, Cates Jordan E, Gutman Julie, Briand Valerie, Fievet Nadine, Valea Innocent, Tinto Halidou, d'Alessandro Umberto, Landis Sarah H, Adu-Afarwuah Seth, Dewey Kathryn G, Ter Kuile Feiko, Dellicour Stephanie, Ouma Peter, Slutsker Laurence, Terlouw Dianne J, Kariuki Simon, Ayisi John, Nahlen Bernard, Desai Meghna, Madanitsa Mwayi, Kalilani-Phiri Linda, Ashorn Per, Maleta Kenneth, Mueller Ivo, Stanisic Danielle, Schmiegelow Christentze, Lusingu John, Westreich Daniel, van Eijk Anna Maria, Meshnick Steven, Rogerson Stephen
Department of Obstetrics and Gynaecology, Edinburgh Royal Infirmary, Edinburgh, UK.
Department of Medicine at the Doherty Institute, The University of Melbourne, Parkville, Victoria, Australia.
BMJ Open. 2016 Dec 21;6(12):e012697. doi: 10.1136/bmjopen-2016-012697.
The Maternal Malaria and Malnutrition (M3) initiative has pooled together 13 studies with the hope of improving understanding of malaria-nutrition interactions during pregnancy and to foster collaboration between nutritionists and malariologists.
Data were pooled on 14 635 singleton, live birth pregnancies from women who had participated in 1 of 13 pregnancy studies. The 13 studies cover 8 countries in Africa and Papua New Guinea in the Western Pacific conducted from 1996 to 2015.
Data are available at the time of antenatal enrolment of women into their respective parent study and at delivery. The data set comprises essential data such as malaria infection status, anthropometric assessments of maternal nutritional status, presence of anaemia and birth weight, as well as additional variables such gestational age at delivery for a subset of women. Participating studies are described in detail with regard to setting and primary outcome measures, and summarised data are available from each contributing cohort.
This pooled birth cohort is the largest pregnancy data set to date to permit a more definite evaluation of the impact of plausible interactions between poor nutritional status and malaria infection in pregnant women on fetal growth and gestational length. Given the current comparative lack of large pregnancy cohorts in malaria-endemic settings, compilation of suitable pregnancy cohorts is likely to provide adequate statistical power to assess malaria-nutrition interactions, and could point towards settings where such interactions are most relevant. The M3 cohort may thus help to identify pregnant women at high risk of adverse outcomes who may benefit from tailored intensive antenatal care including nutritional supplements and alternative or intensified malaria prevention regimens, and the settings in which these interventions would be most effective.
孕产妇疟疾与营养不良（M3）倡议汇集了13项研究，以期增进对孕期疟疾与营养相互作用的理解，并促进营养学家和疟疾学家之间的合作。
汇总了参与13项孕期研究之一的女性的14635例单胎活产妊娠数据。这13项研究涵盖了1996年至2015年期间在非洲的8个国家以及西太平洋的巴布亚新几内亚开展的研究。
在妇女进入各自母研究的产前登记时以及分娩时可获取数据。数据集包括诸如疟疾感染状况、孕产妇营养状况的人体测量评估、贫血情况和出生体重等基本数据，以及部分女性的分娩孕周等其他变量。参与研究在研究背景和主要结局指标方面有详细描述，并且可从每个参与队列获得汇总数据。
这个汇总的出生队列是迄今为止最大的孕期数据集，能够更确切地评估孕妇不良营养状况与疟疾感染之间可能的相互作用对胎儿生长和孕周的影响。鉴于目前疟疾流行地区相对缺乏大型孕期队列，汇编合适的孕期队列可能会提供足够的统计效能来评估疟疾与营养的相互作用，并可能指出这些相互作用最为相关的环境。因此，M3队列可能有助于识别有不良结局高风险的孕妇，这些孕妇可能受益于量身定制的强化产前护理，包括营养补充剂以及替代或强化的疟疾预防方案，以及这些干预措施最有效的环境。
