Prevalence and Severity of Chronic Kidney Disease in Haiti.

BACKGROUND: CKD is a major cause of morbidity and mortality in lower-income countries. However, population-based studies characterizing the epidemiology of CKD in these settings are lacking. The study objective was to describe the epidemiology of CKD in a population-based cohort in urban Haiti, including estimates of the prevalence by CKD stage, the magnitude of associated factors with CKD, and the proportion on guideline-recommended treatment. METHODS: We assessed the prevalence of CKD and associated risk factors in the population-based Haiti Cardiovascular Disease Cohort. We analyzed cross-sectional data from 2424 adults who completed a clinical examination, risk factor surveys, and laboratory measurements for serum creatinine, urinary albumin, and urinary creatinine. We compared our results with US estimates from the National Health and Nutrition Examination Survey. CKD was defined as either a reduced eGFR <60 ml/min per 1.73 m 2 or urinary albumin-to-creatinine ratio ≥30 mg/g according to the Kidney Disease Improving Global Outcomes guidelines. Multivariable logistic regression identified associated factors with CKD. RESULTS: The mean age was 42 years, 57% of participants were female, and 69% lived in extreme poverty on ≤1 US dollar per day. The age-standardized prevalence of CKD was 14% (95% confidence interval [CI], 12% to 15%). The age-standardized prevalence of reduced eGFR and elevated urinary albumin-to-creatinine ratio was 3% (95% CI, 2% to 4%) and 11% (95% CI, 10% to 13%), respectively. Diabetes (adjusted odds ratio, 4.1; 95% CI, 2.7 to 6.2) and hypertension (adjusted odds ratio, 2.9; 95% CI, 2.0 to 4.2) were significantly associated with CKD. Only 12% of participants with CKD and albuminuria were on guideline-recommended agents, such as angiotensin-converting enzyme inhibitors and angiotensin II receptor blockers. CONCLUSIONS: In a large population-based cohort of Haitian adults, CKD was highly associated with both diabetes and hypertension. The proportion of participants with CKD on treatment was low, underscoring the need for strengthening clinical management and nephrology care health infrastructure in Haiti. CLINICAL TRIAL REGISTRY NAME AND REGISTRATION NUMBER: A Longitudinal Cohort Study to Evaluate Cardiovascular Risk Factors and Disease in Haiti, NCT03892265 .

High Dietary Sodium, Measured Using Spot Urine Samples, is Associated with Higher Blood Pressure among Young Adults in Haiti.

Background: Hypertension (HTN) is the leading cardiovascular disease (CVD) risk factor in Haiti and is likely driven by poverty-related social and dietary factors. Salt consumption in Haiti is hypothesized to be high but has never been rigorously quantified. Methods: We used spot urine samples from a subset of participants in the population-based Haiti Cardiovascular Disease Cohort to estimate population mean daily sodium intake. We compared three previously validated formulas for estimating dietary sodium intake using urine sodium, urine creatinine, age, sex, height, and weight. We explored the association between dietary sodium intake and blood pressure, stratified by age group. Results: A total of 1,240 participants had spot urine samples. Median age was 38 years (range 18-93), and 48% were female. The mean dietary sodium intake was 3.5-5.0 g/day across the three estimation methods, with 94.2%-97.9% of participants consuming above the World Health Organization (WHO) recommended maximum of 2 g/day of sodium. Among young adults aged 18-29, increasing salt intake from the lowest quartile of consumption (<3.73 g/day) to the highest quartile (>5.88 g/day) was associated with a mean 8.71 mmHg higher systolic blood pressure (SBP) (95% confidence interval: 3.35, 14.07; p = 0.001). An association was not seen in older age groups. Among participants under age 40, those with SBP ≥120 mmHg consumed 0.5 g/day more sodium than those with SBP <120 mmHg (95% confidence interval: 0.08, 0.69; p = 0.012). Conclusions: Nine out of 10 Haitian adults in our study population consumed more than the WHO recommended maximum for daily sodium intake. In young adults, higher sodium consumption was associated with higher SBP. This represents an inflection point for increased HTN risk early in the life course and points to dietary salt intake as a potential modifiable risk factor for primordial and primary CVD prevention in young adults.

Impacts of micronutrient intervention programs on effective coverage and lives saved: Modeled evidence from Cameroon.

Policymakers are committed to improving nutritional status and to saving lives. Some micronutrient intervention programs (MIPs) can do both, but not to the same degrees. We apply the Micronutrient Intervention Modeling tool to compare sets of MIPs for (1) achieving dietary adequacy separately for zinc, vitamin A (VA), and folate for children and women of reproductive age (WRA), and (2) saving children's lives via combinations of MIPs. We used 24-h dietary recall data from Cameroon to estimate usual intake distributions of zinc and VA for children 6-59 months and of folate for WRA. We simulated the effects on dietary inadequacy and lives saved of four fortified foods and two VA supplementation (VAS) platforms. We estimated program costs over 10 years. To promote micronutrient-specific dietary adequacy, the economic optimization model (EOM) selected zinc- and folic acid-fortified wheat flour, VA-fortified edible oils, and bouillon cubes, and VAS via Child Health Days in the North macroregion. A different set of cost-effective MIPs emerged for reducing child mortality, shifting away from VA and toward more zinc for children and more folic acid for WRA. The EOM identified more efficient sets of MIPs than the business-as-usual MIPs, especially among programs aiming to save lives.

Dietary Risk Factors for Cardiovascular Disease among Low-Income Haitian Adults: Findings from a Population-Based Cohort.

Poor diets are responsible for a large burden of noncommunicable disease (NCD). The prevalence of modifiable dietary risk factors is rising in lower-income countries such as Haiti, along with increasing urbanization and shifts to diets high in sugar, salt, and fat. We describe self-reported dietary patterns (intake of fruits, vegetables, fried food, sugar-sweetened beverages, and added salt and oil) among a population-based cohort of low-income adults in Port-au-Prince and assess for associated sociodemographic factors (age, sex, income, education, body mass index). Among 2989 participants, the median age was 40 years, and 58.0% were women. Less than 1% met the World Health Organization recommendation of at least five servings/day of fruits and vegetables. Participants consumed fried food on average 1.6 days/week and sugar-sweetened beverages on average 4.7 days/week; young males of low socioeconomic status were the most likely to consume these dietary risk factors. The vast majority of participants reported usually or often consuming salt (87.1%) and oil (86.5%) added to their meals eaten at home. Our findings underscore the need for public health campaigns, particularly those targeting young males and household cooks preparing family meals at home, to improve dietary patterns in Haiti in order to address the growing NCD burden.

Review of Existing Models to Predict Reductions in Neural Tube Defects Due to Folic Acid Fortification and Model Results Using Data from Cameroon.

Several models have been developed to predict the effects of folic acid fortification programs on prevention of neural tube defects (NTDs), but each relies on different assumptions and data inputs. We identified and reviewed 7 models that predict the effects of folic acid intake or status on NTD risk. We applied 4 of these models [the original and a modified version of the Lives Saved Tool (LiST) and models developed by Arth et al. and Wald et al.] to predict the effect of folic acid fortification of wheat flour on reduction of NTDs using national survey data from Cameroon. The estimated percentage of NTDs averted due to fortified wheat flour (5.0 µg folic acid/g flour) varied by predictive model, with a 21-31% reduction in LiST to 83% in Arth's model, and 15% in Wald's model. As the simulated fortification level was increased from 1.0 to 7.0 µg folic acid/g flour, the pattern of change in estimated numbers of NTDs averted differed due to different model assumptions: the number of NTDs averted increased and then reached a plateau in the modified LiST model (as would be expected in real-world conditions), increased sharply in Arth's model, and increased continuously in Wald's model. This wide variation in predicted effects, and implausible results in some cases, undermines the models' utility for users of model outputs. Concurrent collection of dietary and biomarker data, including plasma and RBC folate concentrations, and NTD outcomes, is necessary to validate these models and monitor change in folic acid intake, folate-related biomarkers, and reduced NTD risk due to fortification. In the meantime, models based on erythrocyte folate concentration are recommended, based on biological plausibility and consistency with empirical evidence. Where erythrocyte folate data are unavailable, sensitivity analyses (using several models) could be conducted to examine the range of possible outcomes.

Thirty-Day Post-Discharge Outcomes Following COVID-19 Infection.

BACKGROUND: The clinical course of COVID-19 includes multiple disease phases. Data describing post-hospital discharge outcomes may provide insight into disease course. Studies describing post-hospitalization outcomes of adults following COVID-19 infection are limited to electronic medical record review, which may underestimate the incidence of outcomes. OBJECTIVE: To determine 30-day post-hospitalization outcomes following COVID-19 infection. DESIGN: Retrospective cohort study SETTING: Quaternary referral hospital and community hospital in New York City. PARTICIPANTS: COVID-19 infected patients discharged alive from the emergency department (ED) or hospital between March 3 and May 15, 2020. MEASUREMENT: Outcomes included return to an ED, re-hospitalization, and mortality within 30 days of hospital discharge. RESULTS: Thirty-day follow-up data were successfully collected on 94.6% of eligible patients. Among 1344 patients, 16.5% returned to an ED, 9.8% were re-hospitalized, and 2.4% died. Among patients who returned to the ED, 50.0% (108/216) went to a different hospital from the hospital of the index presentation, and 61.1% (132/216) of those who returned were re-hospitalized. In Cox models adjusted for variables selected using the lasso method, age (HR 1.01 per year [95% CI 1.00-1.02]), diabetes (1.54 [1.06-2.23]), and the need for inpatient dialysis (3.78 [2.23-6.43]) during the index presentation were independently associated with a higher re-hospitalization rate. Older age (HR 1.08 [1.05-1.11]) and Asian race (2.89 [1.27-6.61]) were significantly associated with mortality. CONCLUSIONS: Among patients discharged alive following their index presentation for COVID-19, risk for returning to a hospital within 30 days of discharge was substantial. These patients merit close post-discharge follow-up to optimize outcomes.

Effects of a 'Baby-Friendly Hospital Initiative' on exclusive breastfeeding rates at a private hospital in Lebanon: an interrupted time series analysis.

BACKGROUND: Exclusive breastfeeding (EBF) through six months of age has been scientifically validated as having a wide range of benefits, but remains infrequent in many countries. The WHO/UNICEF Baby-Friendly Hospital Initiative (BFHI) is one approach to improve EBF rates. METHODS: This study documents the implementation of BFHI at Clemenceau Medical Center (CMC), a private hospital in Lebanon, and analyzes data on EBF practices among CMC's patients before, during, and after the implementation period. The process of launching the BFHI at CMC is discussed from the perspective of key stakeholders using the SQUIRE guidelines for reporting on quality improvement initiatives. As an objective measure of the program's impact, 2,002 live births from July 2015 to February 2018 were included in an interrupted time series analysis measuring the rates of EBF at discharge prior to, during, and following the bundle of BFHI interventions. RESULTS: The steps necessary to bring CMC in line with the BFHI standards were implemented during the period between November 2015 and February 2016. These steps can be grouped into three phases: updates to hospital policies and infrastructure (Phase 1); changes to healthcare staff practices (Phase 2); and improvements in patient education (Phase 3). The baseline percentage of EBF was 2.4 % of all live births. Following the BFHI intervention, the observed monthly change in EBF in the "Follow-Up" period (i.e., the 24 months following Phases 1-3) was significantly increased relative to the baseline period (+ 2.0 % points per month, p = 0.006). Overall, the observed rate of EBF at hospital discharge increased from 2.4 to 49.0 % of all live births from the first to the final month of recorded data. CONCLUSIONS: Meeting the BFHI standards is a complex process for a health facility, requiring changes to policies, practices, and infrastructure. Despite many challenges, the results of the interrupted time series analysis indicate that the BFHI reforms were successful in increasing the EBF rate among CMC's patients and sustaining that rate over time. These results further support the importance of the hospital environment and health provider practices in breastfeeding promotion, ultimately improving the health, growth, and development of newborns.

Electroconvulsive therapy in an adolescent patient with catatonia: a case report.

Catatonia is characterized by motor and behavioral symptoms and can arise in a wide variety of medical and psychiatric conditions. We describe the case of a 16-year-old female with a history of anxiety and depression who presented with prominent symptoms of negativism, initially diagnosed as conversion disorder. She failed to respond to increasing doses of benzodiazepines; after over six weeks of hospitalization, she received electroconvulsive therapy (ECT), resulting in significant remission of symptoms. This case demonstrates the importance of prompt diagnosis and treatment of catatonia in adolescent patients, as well as the safety and efficacy of ECT in this population.Abbreviations: AACAP: American Academy of Child and Adolescent Psychiatry; BPAD: Bipolar affective disorder; DSM-IV: Diagnostic and Statistical Manual of Mental Disorders, 4th Edition; DSM-5: Diagnostic and Statistical Manual of Mental Disorders, 5th Edition; ECT: Electroconvulsive therapy; NMDA: N-methyl-D-aspartate.

Strategies to achieve adequate vitamin A intake for young children: options for Cameroon.

Meeting children's vitamin A (VA) needs remains a policy priority. Doing so efficiently is a fiscal imperative and protecting at-risk children during policy transitions is a moral imperative. Using the Micronutrient Intervention Modeling tool and data for Cameroon, we predict the impacts and costs of alternative VA intervention programs, identify the least-cost strategy for meeting targets nationally, and compare it to a business-as-usual (BAU) strategy over 10 years. BAU programs effectively cover ∼12.8 million (m) child-years (CY) and cost ∼$30.1 m; ∼US$2.34 per CY effectively covered. Improving the VA-fortified oil program, implementing a VA-fortified bouillon cube program, and periodic VA supplements (VAS) in the North macroregion for 3 years effectively cover ∼13.1 m CY at a cost of ∼US$9.5 m, or ∼US$0.71 per CY effectively covered. The tool then identifies a sequence of subnational policy choices leading from the BAU toward the more efficient strategy, while addressing VA-attributable mortality concerns. By year 4, fortification programs are predicted to eliminate inadequate VA intake in the South and Cities macroregions, but not the North, where VAS should continue until additional delivery platforms are implemented. This modeling approach offers a concrete example of the strategic use of data to follow the Global Alliance for VA framework and do so efficiently.

Acceptability and Utilization of Three Nutritional Supplements during Pregnancy: Findings from a Longitudinal, Mixed-Methods Study in Niger.

Nutritional status in pregnancy is a key determinant of birth outcomes. In low-income countries, maternal diets are often limited, and daily nutrient supplements are recommended to fill nutrient gaps. As a result, it is important to understand the factors influencing acceptability and utilization of nutrient supplements in these settings. Qualitative data (individual interviews and focus group discussions with pregnant women, household members, and study staff) and quantitative data (unannounced household spot checks) were collected in 24 villages in the Maradi region of south-central Niger. Each village was randomly assigned to one of three study arms, with pregnant women receiving either iron and folic acid (IFA) supplements, multiple micronutrient (MMN) supplements, or medium-quantity lipid-based nutrient supplements (MQ-LNS) for daily consumption during pregnancy. Data were collected longitudinally to capture changes in perspective as women progressed through their pregnancy. Participants accepted all three supplement types, and perceived a wide range of health benefits attributed to supplement consumption. However, several important barriers to appropriate consumption were reported, and rumors about the supplements leading to childbirth complications also decreased utilization. The household spot checks suggested that IFA had the highest level of correct consumption. Overall, despite a stated high level of acceptance and enthusiasm for the supplements among participants and their household members, certain fears, side effects, and organoleptic factors led to decreased utilization. The effectiveness of future programs to improve maternal nutritional status through supplementation may be improved by understanding perceived barriers and facilitating factors among participants and tailoring communication efforts appropriately.

Determinants of dietary practices during pregnancy: A longitudinal qualitative study in Niger.

Undernutrition is associated with maternal morbidity and poor pregnancy outcomes. This qualitative study seeks to understand the multilevel factors influencing maternal dietary practices in Niger, including the impact of pregnancy illnesses on diet. Criterion-based, purposive sampling was used to select pregnant women and household members from 24 villages in a rural district of the Maradi Region in south-central Niger. Semistructured interviews (n = 153) and focus group discussions (n = 38) explored 4 primary themes: (a) perceptions of ideal diet during pregnancy, (b) barriers to consuming the ideal diet, (c) coping strategies including dietary responses related to pregnancy illnesses, and (d) changes in perceptions from early to late pregnancy. Longitudinal data collection allowed for repeated interviews of pregnant women to document changes in dietary practices throughout pregnancy. Transcripts were coded using an inductive approach informed by grounded theory methodology. Participants categorized foods into 4 primary dietary taxonomies when discussing ideal maternal diets but cited constraints related to accessibility and availability impeding routine consumption of these foods. Perceptions of "modern," urban foods as healthy, coupled with key structural barriers such as food costs, were identified. Maternal morbidity influenced food consumption, as women reported reducing food intake early in pregnancy in response to illness episodes. Although awareness of optimal foods for supporting healthy pregnancies was moderately high, some misconceptions were observed and multilevel barriers to food security restricted opportunities for consuming these foods. Nutrition-specific and nutrition-sensitive interventions could improve access and availability of acceptable foods for supporting increased dietary intake during pregnancy.

Using community-based reporting of vital events to monitor child mortality: Lessons from rural Ghana.

BACKGROUND: Reducing neonatal and child mortality is a key component of the health-related sustainable development goal (SDG), but most low and middle income countries lack data to monitor child mortality on an annual basis. We tested a mortality monitoring system based on the continuous recording of pregnancies, births and deaths by trained community-based volunteers (CBV). METHODS AND FINDINGS: This project was implemented in 96 clusters located in three districts of the Northern Region of Ghana. Community-based volunteers (CBVs) were selected from these clusters and were trained in recording all pregnancies, births, and deaths among children under 5 in their catchment areas. Data collection lasted from January 2012 through September 2013. All CBVs transmitted tallies of recorded births and deaths to the Ghana Birth and deaths registry each month, except in one of the study districts (approximately 80% reporting). Some events were reported only several months after they had occurred. We assessed the completeness and accuracy of CBV data by comparing them to retrospective full pregnancy histories (FPH) collected during a census of the same clusters conducted in October-December 2013. We conducted all analyses separately by district, as well as for the combined sample of all districts. During the 21-month implementation period, the CBVs reported a total of 2,819 births and 137 under-five deaths. Among the latter, there were 84 infant deaths (55 neonatal deaths and 29 post-neonatal deaths). Comparison of the CBV data with FPH data suggested that CBVs significantly under-estimated child mortality: the estimated under-5 mortality rate according to CBV data was only 2/3 of the rate estimated from FPH data (95% Confidence Interval for the ratio of the two rates = 51.7 to 81.4). The discrepancies between the CBV and FPH estimates of infant and neonatal mortality were more limited, but varied significantly across districts. CONCLUSIONS: In northern Ghana, a community-based data collection systems relying on volunteers did not yield accurate estimates of child mortality rates. Additional implementation research is needed to improve the timeliness, completeness and accuracy of such systems. Enhancing pregnancy monitoring, in particular, may be an essential step to improve the measurement of neonatal mortality.

The impact of eliminating within-country inequality in health coverage on maternal and child mortality: a Lives Saved Tool analysis.

BACKGROUND: Inequality in healthcare across population groups in low-income countries is a growing topic of interest in global health. The Lives Saved Tool (LiST), which uses health intervention coverage to model maternal, neonatal, and child health outcomes such as mortality rates, can be used to analyze the impact of within-country inequality. METHODS: Data from nationally representative household surveys (98 surveys conducted between 1998 and 2014), disaggregated by wealth quintile, were used to create a LiST analysis that models the impact of scaling up health intervention coverage for the entire country from the national average to the rate of the top wealth quintile (richest 20% of the population). Interventions for which household survey data are available were used as proxies for other interventions that are not measured in surveys, based on co-delivery of intervention packages. RESULTS: For the 98 countries included in the analysis, 24-32% of child deaths (including 34-47% of neonatal deaths and 16-19% of post-neonatal deaths) could be prevented by scaling up national coverage of key health interventions to the level of the top wealth quintile. On average, the interventions with most unequal coverage rates across wealth quintiles were those related to childbirth in health facilities and to water and sanitation infrastructure; the most equally distributed were those delivered through community-based mass campaigns, such as vaccines, vitamin A supplementation, and bednet distribution. CONCLUSIONS: LiST is a powerful tool for exploring the policy and programmatic implications of within-country inequality in low-income, high-mortality-burden countries. An "Equity Tool" app has been developed within the software to make this type of analysis easily accessible to users.

Effects of deworming on child and maternal health: a literature review and meta-analysis.

BACKGROUND: Soil-transmitted helminth infections are widespread. Many studies have been published on the topic of deworming. The Lives Saved Tool (LiST) is a software package that uses a deterministic mathematical model to estimate the effect of scaling up interventions on maternal and child health outcomes. This review investigates the scope of available evidence for benefits of deworming treatments in order to inform a decision about possible inclusion of deworming as an intervention in LiST. METHODS: We searched PubMed, the Cochrane Library, and Google Scholar. We included studies that reported pre/post data in children younger than 5 years or pregnant women for outcomes related to mortality and growth. We excluded studies that compared different anthelminthic treatments but did not include a placebo or non-treatment group, and those that did not report post-intervention outcomes. We categorized articles by treated population (children younger than 5 years and pregnant women), experimental versus observational, mass drug administration (MDA) versus treatment, and reported outcome. RESULTS: We identified 58 relevant trials; 27 investigated children younger than 5 years and 11 investigated pregnant women; one reported on both children younger than 5 years and pregnant women. We conducted meta-analyses of relevant outcomes in children younger than 5 years. CONCLUSIONS: Deworming did not show consistent benefits for indicators of mortality, anemia, or growth in children younger than five or women of reproductive age. We do not recommend including the effect of deworming in the LiST model.

Modeling the Impact of Nutrition Interventions on Birth Outcomes in the Lives Saved Tool (LiST).

Background: Negative birth outcomes [small-for-gestational age (SGA) and preterm birth (PTB)] are common in low- and middle-income countries and have important subsequent health and developmental impacts on children. There are numerous nutritional and non-nutritional interventions that can decrease the risk of negative birth outcomes and reduce subsequent risk of mortality and growth faltering.Objective: The objective of this article was to review the current evidence for the impact of nutritional interventions in pregnancy [calcium supplementation, iron and folic acid supplementation, multiple micronutrient (MMN) supplementation, and balanced energy supplementation (BES)] and risk factors (maternal anemia) on birth outcomes, with the specific goal of determining which intervention-outcome linkages should be included in the Lives Saved Tool (LiST) software.Methods: A literature search was conducted by using the WHO e-Library of Evidence for Nutrition Actions as the starting point. Recent studies, meta-analyses, and systematic reviews were reviewed for inclusion on the basis of their relevance to LiST.Results: On the basis of the available scientific evidence, the following linkages were found to be supported for inclusion in LiST: calcium supplementation on PTB (12% reduction), MMN supplementation on SGA (9% reduction), and BES on SGA (21% reduction among food-insecure women).Conclusions: The inclusion of these linkages in LiST will improve the utility of the model for users who seek to estimate the impact of antenatal nutrition interventions on birth outcomes. Scaling up these interventions should lead to downstream impacts in reducing stunting and child mortality.

The Lives Saved Tool (LiST) as a Model for Prevention of Anemia in Women of Reproductive Age.

Background: Anemia in women is a major public health burden worldwide, particularly in low- and middle-income countries (LMICs). It is a complex condition with multiple nutritional and non-nutritional causes, and geographic heterogeneity of burden. The World Health Assembly has set a target of a 50% reduction in anemia among women of reproductive age (WRA) by 2025.Objective: This article seeks to identify the leading causes of anemia among women in LMICs, review the evidence supporting interventions to address anemia in these settings, and ultimately use this information to decide which interventions should be included in the Lives Saved Tool (LiST) model of anemia. It also seeks to examine the link between anemia and cause-specific maternal mortality.Methods: The leading causes of anemia in WRA were inventoried to identify preventive and curative interventions available for implementation at the public health scale. A literature review was then conducted for each identified intervention, as well as for the link between anemia and maternal mortality.Results: The interventions for which data were available fell into the following categories: provision of iron, malaria prevention, and treatment of parasitic infestation. Ultimately, 5 interventions were included in the LiST model for anemia: blanket iron supplementation or fortification, iron and folic acid supplementation in pregnancy, multiple micronutrient supplementation in pregnancy, intermittent preventive treatment of malaria in pregnancy, and household ownership of an insecticide-treated bednet. In addition, anemia was linked in the model with risk of maternal mortality due to hemorrhage.Conclusion: The updated LiST model for anemia reflects the state of the current scientific evidence and should be of use to researchers, program managers, and policymakers who seek to model the impact of scaling up nutrition and health interventions on anemia, and ultimately on maternal mortality.

New Option in the Lives Saved Tool (LiST) Allows for the Conversion of Prevalence of Small-for-Gestational-Age and Preterm Births to Prevalence of Low Birth Weight.

Background: The Lives Saved Tool (LiST) is a software model that estimates the health impact of scaling up interventions on maternal and child health. One of the outputs of the model is an estimation of births by fetal size [appropriate-for-gestational-age (AGA) or small-for-gestational-age (SGA)] and by length of gestation (term or preterm), both of which influence birth weight. LiST uses prevalence estimates of births in these categories rather than of birth weight categories, because the causes and health consequences differ between SGA and preterm birth. The World Health Assembly nutrition plan, however, has set the prevalence of low birth weight (LBW) as a key indicator, with a specific goal of a 30% reduction in LBW prevalence by 2025.Objective: The objective of the study is to develop an algorithm that will allow LiST users to estimate changes in prevalence of LBW on the basis of changes in coverage of interventions and the resulting impact on prevalence estimates of SGA and preterm births.Methods: The study used 13 prospective cohort data sets from low- and middle-income countries (LMICs; 4 from sub-Saharan Africa, 5 from Asia, and 4 from Latin America), with reliable measures of gestational age and birth weight. By calculating the proportion of LBW births among SGA and preterm births in each data set and meta-analyzing those estimates, we calculated region-specific pooled rates of LBW among SGA and preterm births.Results: In Africa, 0.4% of term-AGA, 36.7% of term-SGA, 49.3% of preterm-AGA, and 100.0% of preterm-SGA births were LBW. In Asia, 1.0% of term-SGA, 47.0% of term-SGA, 36.7% of preterm-AGA, and 100.0% of preterm-SGA births were LBW. In Latin America, 0.4% of term-AGA, 34.4% of term-SGA, 32.3% of preterm-AGA, and 100.0% of preterm-SGA births were LBW.Conclusions: The simple conversion factor proposed here allows for the estimation of LBW within LiST for most LMICs. This will allow LiST users to approximate the impact of their health programs on LBW prevalence via the impact on SGA and preterm prevalence.

Estimating Lives Saved by Achieving Dietary Micronutrient Adequacy, with a Focus on Vitamin A Intervention Programs in Cameroon.

Background: We previously compared the potential effects of different intervention strategies for achieving dietary vitamin A (VA) adequacy. The Lives Saved Tool (LiST) permits estimates of lives saved through VA interventions but currently only considers periodic VA supplements (VASs).Objective: We aimed to adapt the LiST method for estimating the mortality impact of VASs to estimate the impact of other VA interventions (e.g., food fortification) on child mortality and to estimate the number of lives saved by VA interventions in 3 macroregions in Cameroon.Methods: We used national dietary intake data to predict the effects of VA intervention programs on the adequacy of VA intake. LiST parameters of population affected fraction and intervention coverage were replaced with estimates of prevalence of inadequate intake and effective coverage (proportion achieving adequate VA intake). We used a model of liver VA stores to derive an estimate of the mortality reduction from achieving dietary VA adequacy; this estimate and a conservative assumption of equivalent mortality reduction for VAS and VA intake were applied to projections for Cameroon.Results: There were 2217-3048 total estimated VA-preventable deaths in year 1, with 58% occurring in the North macroregion. The relation between effective coverage and lives saved differed by year and macroregion due to differences in total deaths, diarrhea burden, and prevalence of low VA intake. Estimates of lives saved by VASs (the intervention common to both methods) were similar with the use of the adapted method (in 2012: North, 743-1021; South, 280-385; Yaoundé and Douala, 146-202) and the "usual" LiST method (North: 697; South: 381; Yaoundé and Douala: 147).Conclusions: Linking effective coverage estimates with an adapted LiST method permits estimation of the effects of combinations of VA programs (beyond VASs only) on child mortality to aid program planning and management. Rigorous program monitoring and evaluation are necessary to confirm predicted impacts.

Nutrition Interventions in the Lives Saved Tool (LiST).

The Lives Saved Tool (LiST) was initially developed in 2003 to estimate the impact of increasing coverage of efficacious interventions on under-5 mortality. Over time, the model has been expanded to include more outcomes (neonatal mortality, maternal mortality, stillbirths) and interventions. The model has also added risk factors, such as stunting and wasting, and over time has attempted to capture a full range of nutrition and nutrition-related interventions (e.g., antenatal supplementation, breastfeeding promotion, child supplemental feeding, acute malnutrition treatment), practices (e.g., age-appropriate breastfeeding), and outcomes (e.g., stunting, wasting, birth outcomes, maternal anemia). This article reviews the overall nutrition-related structure, assumptions, and outputs that are currently available in LiST. This review focuses on the new assumptions and structure that have been added to the model as part of the current effort to expand and improve the nutrition modeling capability of LiST. It presents the full set of linkages in the model that relate to nutrition outcomes, as well as the research literature used to support those linkages.