Plasma lipids and growth faltering: A longitudinal cohort study in rural Gambian children.

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The clinical use of longitudinal bio-electrical impedance vector analysis in assessing stabilization of children with severe acute malnutrition

Background & aims: Severe Acute Malnutrition (SAM) in children is determined using anthropometry. However, bio-electrical impedance (BI) analysis could improve the estimation of altered body composition linked to edema and/or loss of lean body mass in children with SAM. We aimed to assess: 1) the changes in BI parameters during clinical stabilization and 2) whether BI parameters add prognostic value for clinical outcome beyond the use of anthropometry. Methods: This prospective observational study enrolled children, aged 6–60 months, that were admitted at Queen Elizabeth Central Hospital in Blantyre, Malawi, for complicated SAM (i.e., having either severe wasting or edematous SAM with a complicating illness). Height, weight, mid-upper arm circumference (MUAC), and BI were measured on admission and after clinical stabilization. BI measures were derived from height-adjusted indices of resistance (R/H), reactance (Xc/H), and phase angle (PA) and considered to reflect body fluids and soft tissue in BI vector analysis (BIVA). Results: We studied 183 children with SAM (55% edematous; age 23.0 ± 12.0 months; 54% male) and 42 community participants (age 20.1 ± 12.3 months; male 62%). Compared to community participants, the BIVA of children with edematous SAM were short with low PA and positioned low on the hydration axis which reflects severe fluid retention. In contrast, children with severe wasting had elongated vectors with a PA that was higher than children with edematous SAM but lower than community participants. Their BIVA position fell within the top right quadrant linked to leanness and dehydration. BIVA from severely wasted and edematous SAM patients differed between groups and from community children both at admission and after stabilization (p < 0.001). Vector position shifted during treatment only in children with edematous SAM (p < 0.001) and showed a upward translation suggestive of fluid loss. While PA was lower in children with SAM, PA did not contribute more than anthropometry alone towards explaining mortality, length of stay, or time-to-discharge or time-to-mortality. The variability and heterogeneity in BI measures was high and their overall added predictive value for prognosis of individual children was low. Conclusions: BIVA did not add prognostic value over using anthropometry alone to predict clinical outcome. Several implementation challenges need to be optimized. Thus, in low-resource settings, the routine use of BI in the management of pediatric malnutrition is questionable without improved implementation

Prediction of mortality in severe acute malnutrition in hospitalized children by faecal volatile organic compound analysis : proof of concept

Children with severe acute malnutrition (SAM) display immature, altered gut microbiota and have a high mortality risk. Faecal volatile organic compounds (VOCs) reflect the microbiota composition and may provide insight into metabolic dysfunction that occurs in SAM. Here we determine whether analysis of faecal VOCs could identify children with SAM with increased risk of mortality. VOC profiles from children who died within six days following admission were compared to those who were discharged alive using machine learning algorithms. VOC profiles of children who died could be separated from those who were discharged with fair accuracy (AUC) = 0.71; 95% CI 0.59-0.87; P = 0.004). We present the first study showing differences in faecal VOC profiles between children with SAM who survived and those who died. VOC analysis holds potential to help discover metabolic pathways within the intestinal microbiome with causal association with mortality and target treatments in children with SAM.Trial Registration: The F75 study is registered at clinicaltrials.gov/ct2/show/NCT02246296

Plasma lipids and growth faltering: A longitudinal cohort study in rural Gambian children

Growth faltering in children arises from metabolic and endocrine dysfunction driven by complex interactions between poor diet, persistent infections, and immunopathology. Here, we determined the progression of the plasma lipidome among Gambian children (n = 409) and assessed its association with growth faltering during the first 2 years of life using the panel vector autoregression method. We further investigated temporal associations among lipid clusters. We observed that measures of stunting, wasting, and underweight are dynamically associated with each other and that lipid groups containing polyunsaturated fatty acids (PUFAs) and phosphatidylcholines consistently predict future growth outcomes. Linear growth was dynamically associated with the majority of lipids, indicating a higher nutritional demand to improve height compared to weight among growth-restricted children. Our results indicate a critical role for PUFAs and choline in early life dietary interventions to combat the child growth faltering still so prevalent in low-income settings

Impact of the community healthcare plan and the free maternity services programme on maternal and child healthcare utilisation in rural Kenya: A dairy farmer population-based study

Background: Access to and utilisation of quality maternal and child healthcare services is generally recognized as the best way to reduce maternal and child mortality. Objectives: We evaluated whether the introduction of a voluntary family health insurance programme, combined with quality improvement of healthcare facilities [The Community Health Plan (TCHP)], and the introduction of free access to delivery services in all public facilities [Free Maternity Services programme (FMS)] increased antenatal care utilisation and use of facility deliveries among pregnant women in rural Kenya. Methods: TCHP was introduced in 2011, whilst the FMS programme was launched in 2013. To measure the impact of TCHP, percentage points (PP) changes in antenatal care utilisation and facility deliveries from the pre-TCHP to the post-TCHP period between the TCHP programme area and a control area were compared in multivariable difference-in-differences analysis. To measure the impact of the FMS programme, PP changes in antenatal care utilisation and facility deliveries from the pre-FMS to the post-FMS period in the pooled TCHP programme and control areas was assessed in multivariable logistic regression analysis. Data was collected through household surveys in 2011 and 2104. Households (n=549) were randomly selected from the member lists of 2 dairy companies, and all full-term pregnancies in the 3.5 years preceding the baseline and follow-up survey among women aged 15-49 at the time of pregnancy were eligible for this study (n=295). Results: Because only 4.1% of eligible women were insured through TCHP during pregnancy, any increase in utilisation attributable to the TCHP programme could only have come about as a result of the quality improvements in TCHP facilities. Antenatal care utilisation significantly increased after TCHP was introduced (14.4 PP; 95% CI: 4.5–24.3; P=0.004), whereas no effect was observed of the programme on facility deliveries (8.8 PP; 95% CI: -14.1 to +31.7; P=0.450). Facility deliveries significantly increased after the introduction of the FMS programme (27.9 PP; 95% CI: 11.8–44.1; P=0.001), but antenatal care utilisation did not change significantly (4.0 PP; 95% CI: -0.6 to +8.5; P=0.088). Conclusion: Access to the FMS programme increased facility deliveries substantially and may contribute to improved maternal and new-born health and survival if the quality of delivery services is sustained or further improved. Despite low up-take, TCHP had a positive effect on antenatal care utilisation among uninsured women by improving the quality of existing healthcare facilities. An alignment of the two programmes could potentially lead to optimal results. Funding: The study was funded by the Health Insurance Fund (http://www.hifund.org/), through a grant from the Dutch Ministry of Foreign Affairs

Impact of the community healthcare plan and the free maternity services programme on maternal and child healthcare utilisation in rural Kenya: A dairy farmer population-based study

Background: Access to and utilisation of quality maternal and child healthcare services is generally recognized as the best way to reduce maternal and child mortality. Objectives: We evaluated whether the introduction of a voluntary family health insurance programme, combined with quality improvement of healthcare facilities [The Community Health Plan (TCHP)], and the introduction of free access to delivery services in all public facilities [Free Maternity Services programme (FMS)] increased antenatal care utilisation and use of facility deliveries among pregnant women in rural Kenya. Methods: TCHP was introduced in 2011, whilst the FMS programme was launched in 2013. To measure the impact of TCHP, percentage points (PP) changes in antenatal care utilisation and facility deliveries from the pre-TCHP to the post-TCHP period between the TCHP programme area and a control area were compared in multivariable difference-in-differences analysis. To measure the impact of the FMS programme, PP changes in antenatal care utilisation and facility deliveries from the pre-FMS to the post-FMS period in the pooled TCHP programme and control areas was assessed in multivariable logistic regression analysis. Data was collected through household surveys in 2011 and 2104. Households (n=549) were randomly selected from the member lists of 2 dairy companies, and all full-term pregnancies in the 3.5 years preceding the baseline and follow-up survey among women aged 15-49 at the time of pregnancy were eligible for this study (n=295). Results: Because only 4.1% of eligible women were insured through TCHP during pregnancy, any increase in utilisation attributable to the TCHP programme could only have come about as a result of the quality improvements in TCHP facilities. Antenatal care utilisation significantly increased after TCHP was introduced (14.4 PP; 95% CI: 4.5–24.3; P=0.004), whereas no effect was observed of the programme on facility deliveries (8.8 PP; 95% CI: -14.1 to +31.7; P=0.450). Facility deliveries significantly increased after the introduction of the FMS programme (27.9 PP; 95% CI: 11.8–44.1; P=0.001), but antenatal care utilisation did not change significantly (4.0 PP; 95% CI: -0.6 to +8.5; P=0.088). Conclusion: Access to the FMS programme increased facility deliveries substantially and may contribute to improved maternal and new-born health and survival if the quality of delivery services is sustained or further improved. Despite low up-take, TCHP had a positive effect on antenatal care utilisation among uninsured women by improving the quality of existing healthcare facilities. An alignment of the two programmes could potentially lead to optimal results. Funding: The study was funded by the Health Insurance Fund (http://www.hifund.org/), through a grant from the Dutch Ministry of Foreign Affairs

Improving maternal care through a state-wide health insurance program:a cost and cost-effectiveness study in rural Nigeria

Background While the Nigerian government has made progress towards the Millennium Development Goals, further investments are needed to achieve the targets of post-2015 Sustainable Development Goals, including Universal Health Coverage. Economic evaluations of innovative interventions can help inform investment decisions in resource-constrained settings. We aim to assess the cost and cost-effectiveness of maternal care provided within the new Kwara State Health Insurance program (KSHI) in rural Nigeria. Methods and Findings We used a decision analytic model to simulate a cohort of pregnant women. The primary outcome is the incremental cost effectiveness ratio (ICER) of the KSHI scenario compared to the current standard of care. Intervention cost from a healthcare provider perspective included service delivery costs and above-service level costs; these were evaluated in a participating hospital and using financial records from the managing organisations, respectively. Standard of care costs from a provider perspective were derived from the literature using an ingredient approach. We generated 95% credibility intervals around the primary outcome through probabilistic sensitivity analysis (PSA) based on a Monte Carlo simulation. We conducted one-way sensitivity analyses across key model parameters and assessed the sensitivity of our results to the performance of the base case separately through a scenario analysis. Finally, we assessed the sustainability and feasibility of this program’s scale up within the State’s healthcare financing structure through a budget impact analysis. The KSHI scenario results in a health benefit to patients at a higher cost compared to the base case. The mean ICER (US$46.4/disability-adjusted life year averted) is considered very cost-effective compared to a willingness-to-pay threshold of one gross domestic product per capita (Nigeria, US$ 2012, 2,730). Our conclusion was robust to uncertainty in parameters estimates (PSA: median US$49.1, 95% credible interval 21.9–152.3), during one-way sensitivity analyses, and when cost, quality, cost and utilization parameters of the base case scenario were changed. The sustainability of this program’s scale up by the State is dependent on further investments in healthcare. Conclusions This study provides evidence that the investment made by the KSHI program in rural Nigeria is likely to have been cost-effective; however, further healthcare investments are needed for this program to be successfully expanded within Kwara State. Policy makers should consider supporting financial initiatives to reduce maternal mortality tackling both supply and demand issues in the access to care

Author Correction: Prediction of mortality in severe acute malnutrition in hospitalized children by faecal volatile organic compound analysis: proof of concept (Scientific Reports, (2020), 10, 1, (18785), 10.1038/s41598-020-75515-6)

The Funding section in this Article is incomplete. “The F75 study was funded by the Thrasher Research Fund, number 9403; analysis was supported by the CHAIN Network with funding from the Bill & Melinda Gates Foundation, grant number: OPP1131320; funders had no input in the design, data collection, analysis, or preparation of this manuscript. In addition, we would also like to acknowledge Owlstone FAIMS technology. We do want to clarify while we used the technology, at no point in time did they have any input in our data or analysis. There was also no funding or grants received from Owlstone.” should read: “The F75 study was funded by the Thrasher Research Fund, number 9403; analysis was supported by the CHAIN Network with funding from the Bill & Melinda Gates Foundation, grant number: OPP1131320, as well as Rotaryclub Purmerend Weidevenne; funders had no input in the design, data collection, analysis, or preparation of this manuscript. In addition, we would also like to acknowledge Owlstone FAIMS technology. We do want to clarify while we used the technology, at no point in time did they have any input in our data or analysis. There was also no funding or grants received from Owlstone.

Drivers determining TB disease screening yield in four European screening programmes: a comparative analysis

INTRODUCTION: The WHO End-TB Strategy emphasises screening for early diagnosis of tuberculosis (TB) in high-risk groups, including migrants. We analysed key drivers of TB yield differences in four large migrant TB screening programmes to inform TB control planning and feasibility of a European approach. METHODS: We pooled individual TB screening episode data from Italy, the Netherlands, Sweden, and the UK and analysed predictors and interactions for TB case yield using multivariable logistic regression models. RESULTS: Between 2005-2018 in 2,302,260 screening episodes among 2,107,016 migrants to four countries; the programmes identified 1,658 TB cases (yield 72.0 per 100,000; 95% confidence interval, CI68.6-75.6). In logistic regression analysis, we found associations between TB screening yield and age (>55 years odds ratio, OR2.91, CI2.24-3.78), being an asylum seeker (OR3.19, CI1.03-9.83) or on a settlement visa (OR1.78, CI1.57-2.01), close TB contact (OR12.25, 11.73-12.79), and higher TB incidence in the country of origin (CoO). We demonstrated interactions between migrant typology and age, as well as CoO. For asylum seekers, the elevated TB risk remained similar above CoO incidence thresholds of 100 per 100,000. CONCLUSIONS: Key determinants of TB yield included close contact, increasing age, incidence in CoO and specific migrant groups including asylum seekers and refugees. For most migrants such as UK students and workers, TB yield significantly increased with levels of incidence in CoO. The high, CoO-independent TB risk in asylum seekers above a 100 per 100,000 threshold could reflect higher transmission and reactivation risk of migration routes; with implications for selecting populations for TB screening