Maternal anemia affects approximately 56 million women worldwide and increases the risk of adverse pregnancy outcomes. Our study aimed to summarize the evidence for the association between maternal hemoglobin (Hb) concentrations and maternal or infant outcomes, evaluating it in a continuous manner. In this systematic review and meta-analysis, we conducted an electronic search on PubMed, Embase, CINAHL, and Web of Science from inception to April 19, 2017, and further updated to November 21, 2018, applying subject heading terms related to pregnant women with anemia. We included 117 studies with 4,127,430 pregnancies. Maternal anemia increased the risk of low birth weight (odds ratio (OR), 1.65; 95% confidence interval (CI): 1.45−1.87), preterm birth (PTB) (OR, 2.11; 95% CI: 1.76-2.53), perinatal mortality (PNM) (OR, 3.01; 95% CI: 1.92−4.73), stillbirth (OR, 1.95; 95% CI: 1.15−3.31), and maternal mortality (OR, 3.20; 95% CI: 1.16−8.85). A nonlinear relationship was found between maternal Hb and adverse maternal and infant outcomes. The OR of outcomes such as PTB, small-for-gestational age, PNM, preeclampsia, gestational hypertension, and postpartum hemorrhage was increased by two to three times. Assessing Hb as a continuous variable is important to determine the associated risk of adverse outcomes with decreasing or increasing levels.

BackgroundThe causes and pathogenesis of cerebral palsy (CP) are all poorly understood, particularly in low- and middle-income countries (LMIC). There are gaps in knowledge about CP in Bangladesh, especially in the spheres of epidemiological research, intervention and service utilization. In high-income countries CP registers have made substantial contributions to our understanding of CP. In this paper, we describe a pilot study protocol to develop, implement, and evaluate a CP population register in Bangladesh (i.e., Bangladesh Cerebral Palsy Register - BCPR) to facilitate studies on prevalence, severity, aetiology, associated impairments and risk factors for CP.Methods/DesignThe BCPR will utilise a modified version of the Australian Cerebral Palsy Register (ACPR) on a secured web-based platform hosted by the Cerebral Palsy Alliance Research Institute, Australia. A standard BCPR record form (i.e., data collection form) has been developed in consultation with local and international experts. Using this form, the BPCR will capture information about maternal health, birth history and the nature of disability in all children with CP aged <18 years. The pilot will be conducted in the Shahjadpur sub-district of Sirajgonj district in the northern part of Bangladesh. There are 296 villages in Shahjadpur, a total population of 561,076 (child population ~ 226,114), an estimated 70,998 households and 12,117 live births per annum. Children with CP will be identified by using the community based Key Informants Method (KIM). Data from the completed BPCR record together with details of assessment by a research physician will be entered into an online data repository.DiscussionOnce implemented, BCPR will be, to the best of our knowledge, the first formalised CP register from a LMIC. Establishment of the BCPR will enable estimates of prevalence; facilitate clinical surveillance and promote research to improve the care of individuals with CP in Bangladesh.

Almost half of childhood infective encephalitis survivors report incomplete recovery in the long-term; most commonly developmental delay, behavioural abnormality, and neurological impairments (i.e. seizure). Well designed, large-scale prospective studies are needed to better quantify neurodevelopmental sequelae among childhood encephalitis survivors.

Objective:To obtain projections of the prevalence of childhood malnutrition indicators up to 2030 and to analyse the changes of wealth-based inequality in malnutrition indicators and the degree of contribution of socio-economic determinants to the inequities in malnutrition indicators in Bangladesh. Additionally, to identify the risk factors of childhood malnutrition.Design:Cross-sectional study. A Bayesian linear regression model was used to estimate trends and projections of malnutrition. For equity analysis, slope index, relative index and decomposition in concentration index were used. Multilevel logistic models were used to identify risk factors of malnutrition.Setting:Household surveys in Bangladesh from 1996 to 2014.Participants:Children under the age of 5 years.Results:A decreasing trend was observed for all malnutrition indices. In 1990, predicted prevalence of stunting, wasting and underweight was 55·0, 15·9 and 61·8 %, respectively. By 2030, prevalence is projected to reduce to 28·8 % for stunting, 12·3 % for wasting and 17·4 % for underweight. Prevalence of stunting, wasting and underweight were 34·3, 6·9 and 32·8 percentage points lower in the richest households than the poorest households. Contribution of the wealth index to child malnutrition increased over time and the largest contribution of pro-poor inequity was explained by wealth index. Being an underweight mother, parents with a lower level of education and poorer households were the key risk factors for stunting and underweight.Conclusions:Our findings show an evidence-based need for targeted interventions to improve education and household income-generating activities among poor households to reduce inequalities and reduce the burden of child malnutrition in Bangladesh.