Replication Data for: Systemic inflammation and metabolic disturbances underlie inpatient mortality among ill children with severe malnutrition

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Replication Data for: Systemic inflammation and metabolic disturbances underlie inpatient mortality among ill children with severe malnutrition
Wen, Bijun; Njunge, James M.; Bourdon, Celine; Gonzales, Gerard; Gichuki, Bonface M.; Lee, Dorothy; Ngari, Moses M.; Chimwezi, Emmanuel; Thitiri, Johstone; Mwalekwa, Laura; Voskuijl, Wieger; Berkley, James A.; Bandsma, Robert H.J., 2021, "Replication Data for: Systemic inflammation and metabolic disturbances underlie inpatient mortality among ill children with severe malnutrition", https://doi.org/10.7910/DVN/GI8YL9, Harvard Dataverse, V1, UNF:6:VCJI7r5jR74R2BBgbVTuEQ== [fileUNF]
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Description

This is a case-control study nested within the F75 intervention trial. The trial is registered at clinicaltrials.gov (NCT02246296). By comparing the metabolomic profiles between cases (children who died, n=90) and controls (children who were discharged alive, n=90), this study aimed to understand the metabolic pathways underlying mortality among children with severe malnutrition admitted to hospitals in Kenya and Malawi. Targeted serum metabolomics were performed using liquid chromatography and tandem mass spectrometry (LC-MS/MS). A total 206 metabolites were targeted by two assays - the AbsoluteIDQ p180 Kit quantifying 188 metabolites and the TMIC PRIME® assay quantifying 18 organic acids.

Subject Medicine, Health and Life Sciences
Keyword Paediatrics, Mulnutrition, Omics
Related Publication R. H. J. Bandsma et al., A reduced-carbohydrate and lactose-free formulation for stabilization among hospitalized children with severe acute malnutrition: A double-blind, randomized controlled trial. PLoS medicine 16, e1002747 (2019)doi: 10.1371/journal.pmed.1002747
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Wen_et_al_2021_F75_Metabolomics_codebook.pdf
Wen_et_al_2021_F75_Metabolomics_codebook.pdf
Adobe PDF - 95.5 KB
Published Mar 9, 2021
21 Downloads
MD5: ecfc34d93bf163bbc1d3cf47f28df37b
This data dictionary contains a list of variables in the datafile and their descriptions
DocumentationVariable Codebook/Data Dictionary
Preview "Wen_et_al_2021_F75_Metabolomics_codebook.pdf"
Wen_et_al_2021_F75_Metabolomics_Readme.txt
Plain Text - 7.7 KB
Published Mar 9, 2021
17 Downloads
MD5: e49b3be3bcf9a99f310def652f8a137e
DocumentationReadme
Preview "Wen_et_al_2021_F75_Metabolomics_Readme.txt"
F75_Admission_Metabolomics.tab
Tabular Data - 380.2 KB
Published Mar 9, 2021
30 Downloads
208 Variables, 470 Observations UNF:6:X9v5HxKG+oMopCoZ4PHiqQ==
This file contains raw concentrations of metabolites quantified and information related to assay quality (i.e. quality controls, limit of detection).The file was generated using R programming (version 3.6.0, R Core Team, Auckland, New Zealand)
DataCSV
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F75_case-control_key.tab
Tabular Data - 4.9 KB
Published Mar 9, 2021
20 Downloads
3 Variables, 360 Observations UNF:6:77c9phvEmrCjSpUO6UQ1Ng==
This file contains keys for the case-control matched pairs of the study and their survival outcomes.
DataCSV
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F75_Metabolomics_Preprocess.R
R Syntax - 3.5 KB
Published Mar 9, 2021
18 Downloads
MD5: 5e5bbb2dd68c509a8ee66db27de8dc6f
This data preprocessing script was used to generate the "F75_Admission_Metabolomics.csv" file from raw assay output. Raw values below the limit of detection for each metabolite were flagged and replaced by "< LOD". Raw values above the limit of detection remained unchanged
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