Diamond-Smith Nadia, Singh Neeru, Gupta R K Das, Dash Aditya, Thimasarn Krongthong, Campbell Oona M R, Chandramohan Daniel
London School of Hygiene and Tropical Medicine, London, UK.
Malar J. 2009 Feb 12;8:24. doi: 10.1186/1475-2875-8-24.
Malaria in pregnancy (MiP) is inadequately researched in India, and the burden is probably much higher than current estimates suggest. This paper models the burden of MiP and associated foetal losses and maternal deaths, in rural Madhya Pradesh, India.
Number of pregnancies per year was estimated from the number of births and an estimate of pregnancies that end in foetal loss. The prevalence of MiP, risk of foetal loss attributable to MiP and case fatality rate of MiP were obtained from the literature. The estimated total number of pregnancies was multiplied by the appropriate parameter to estimate the number of MiP cases, and foetal loss and maternal deaths attributable to MiP per year. A Monte Carlo simulation sensitivity analysis was done to assess plausibility of various estimates obtained from the literature. The burden of MiP in tribal women was explored by incorporating the variable prevalence of malaria in tribal and non-tribal populations and in forested and non-forested regions within Madhya Pradesh.
Estimates of MiP cases in rural Madhya Pradesh based on the model parameter values found in the literature ranged from 183,000-1.5 million per year, with 73,000-629,000 lost foetuses and 1,500-12,600 maternal deaths attributable to MiP. The Monte Carlo simulation gave a more plausible estimate of 220,000 MiP cases per year (inter-quartile range (IQR): 136,000-305,000), 95,800 lost foetuses (IQR: 56,800-147,600) and 1,000 maternal deaths (IQR: 650-1,600). Tribal women living in forested areas bore 30% of the burden of MiP in Madhya Pradesh, while constituting 18% of the population.
Although the estimates are uncertain, they suggest MiP is a significant public health problem in rural Madhya Pradesh, affecting many thousands of women and that reducing the MiP burden should be a priority.
印度对妊娠疟疾(MiP)的研究不足,其负担可能远高于目前的估计。本文对印度中央邦农村地区的妊娠疟疾负担以及相关的胎儿损失和孕产妇死亡情况进行了建模。
根据出生人数和估计的胎儿丢失妊娠数来估算每年的妊娠数。从文献中获取妊娠疟疾的患病率、妊娠疟疾导致的胎儿丢失风险以及妊娠疟疾的病死率。将估计的妊娠总数乘以适当的参数,以估算每年妊娠疟疾的病例数、妊娠疟疾导致的胎儿丢失数和孕产妇死亡数。进行了蒙特卡洛模拟敏感性分析,以评估从文献中获得的各种估计的合理性。通过纳入中央邦部落和非部落人口以及森林和非森林地区疟疾的不同患病率,探讨了部落妇女的妊娠疟疾负担。
根据文献中发现的模型参数值,中央邦农村地区妊娠疟疾病例的估计数为每年18.3万至150万例,妊娠疟疾导致7.3万至62.9万例胎儿丢失,1500至12600例孕产妇死亡。蒙特卡洛模拟得出的更合理估计是每年22万例妊娠疟疾病例(四分位间距(IQR):13.6万至30.5万例),95800例胎儿丢失(IQR:56800至147600例)和1000例孕产妇死亡(IQR:650至1600例)。生活在森林地区的部落妇女承担了中央邦30%的妊娠疟疾负担,而其人口仅占18%。
尽管这些估计存在不确定性,但它们表明妊娠疟疾是中央邦农村地区一个重大的公共卫生问题,影响着成千上万的妇女,减轻妊娠疟疾负担应成为优先事项。