<p>This is a replication dataset for the manuscript titled: "<a href="">Albumin-dependent and independent mechanisms in the syndrome of kwashiorkor</a>." </p><p>Our aim was to determine albumin-independent differences in pathophysiology between Severe wasting and kwashiorkor to inform targeted prevention and treatment strategies . We used the F75 reformulation clinical trail to discover mechanisms that distinguish severe wasting from kwashiorkor beyond albumin. This sub-cohort comprised children with kwashiorkor and marasmus who had been matched on exact serum albumin levels. Plasma samples from the discovery sub-cohort were subjected to untargeted liquid chromatography tandem mass tag (TMT)-based proteomics and targeted metabolomics (Biocrates™ p 180). Other targeted assays included ELISA and Luminex. The findings from the discovery cohort were validated using a subset of the daily cotrimoxazole trial data and samples.</p>

<p>This was a nested case control study within a clinical trial (NCT00934492) that tested the efficacy of daily co‐trimoxazole prophylaxis in reducing post‐discharge mortality among HIV‐uninfected children aged 2-59 months hospitalised with CSM in two urban (Mombasa and Nairobi) and two rural (Kilifi and Malindi) hospitals in Kenya. We investigated mechanisms underlying early post-discharge mortality (<60 days) using untargeted plasma proteome, targeted cytokines/chemokines, leptin, and soluble CD14 (sCD14) measured after hospital stabilisation (at discharge).</p><p>Data package includes: <br><ol><li>Njunge_Sci_Rep_s41598-019-42436-y.dta and (b) Njunge_Sci_Rep_s41598-019-42436-y.csv: Both files contain similar information. The files contains anthropometric at the time of hospital discharge for study children. It also contains full blood count at enrolment. Anthropometric z scores calculated using 2006 WHO growth references. Study data were entered into OpenClinical trial database. After locking the trial database, the data were extracated and exported to STATA Version 15.1 for statistical analysis.</li><li> Njunge_Sci_Rep_s41598-019-42436-y.doThis analysis script is used to generate the summary participants characteristics at enrolment and conduct regression analysis.</li><li>Data Dictionary: contains variable descriptions and value labels</li></ol>

duly completed STROBE checklist for Cohort studies

<p>This is a replication dataset for the published paper "<a href="https://doi.org/10.12688/wellcomeopenres.16330.1">Systemic Inflammation is Negatively Associated with Early Post Discharge Growth following Acute Illness among Severely Malnourished Children- a Pilot Study</a>" published in the Wellcome Open Research journal.</p><p>This was a secondary analysis of data from a nested case control study within a clinical trial (<a href="https://clinicaltrials.gov/ct2/show/NCT00934492">NCT00934492</a>) that tested the efficacy of daily co‐trimoxazole prophylaxis in reducing post‐discharge mortality among HIV‐uninfected children aged 2-59 months hospitalised with Complicated Severe Malnutrition (CSM) in two urban (Mombasa and Nairobi) and two rural (Kilifi and Malindi) hospitals in Kenya. We examined the relationship between changes in absolute deficits in weight and mid-upper-arm circumference (MUAC) from enrolment at stabilisation to 60 days later and untargeted plasma proteome, targeted cytokines/chemokines, leptin, and soluble CD14 (sCD14) using multivariate regularized linear regression. </p><p>Dataset files included :(i) Njunge_CTX_15092020.dta and (ii) Njunge_CTX_15092020.csv<br>Both files contain similar infomation.The files contains athropometric at the time of hospital discharge and during follow up months 1, 2, 3, 4, 5, 6, 8, 10, and 12. A full blood count at enrolment, 2, 6, and 12 months.Anthropometric z scores calculated using 2006 WHO growth references. Study data were entered into OpenClinical trial database. After locking the trial database, the data were extrcated and exported to STATA Version 13.1 for statistical analysis. Participants included in this study were non-oedematous children with Severe Malnutrition randomly selected from those who survived and were not readmitted to hospital during 12 months of follow up and had completed follow-up data at month 12. They had served as controls in a previous case control study (Njunge, J.M., et al., 2019. Biomarkers of post-discharge mortality among children with complicated severe acute malnutrition. Scientific reports, 9(1):5981. https://doi.org/1038/s41598-019-42436-y.) in which plasma proteomic and cytokine measurements had been done on enrolment samples. Absolute deficit in anthropometric variables were defined as the median value for age according to WHO growth charts minus the child’s measured value. The files also contain plasma proteome, leptin, sCD14 and a panel of targeted cytokines. <br> <br>The two files were generated using STATA/IC (version 15.1; StataCorp, College Station, TX, USA). </p>

contains a list of all the variables in the two datasets and their description.

This analysis script uses Njunge_CTX_15092020.dta to generate the summary participants characteristics at enrolment and at 2 months and calculate the changes in anthropometry

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