The Childhood Acute Illness and Nutrition Network (CHAIN) is a global research network focused on optimizing the management and care of highly vulnerable children in resource-limited settings to improve survival, growth and development.

The CHAIN Network aims to identify the biological mechanisms and the socio-economic factors that determine a child’s risk of mortality in the six months following presentation to medical care with an acute illness. Ultimately, The CHAIN Network aims to improve care for acutely ill children living in countries with limited resources and prevent both in-hospital and post-discharge mortality. To do this, the progress of acutely ill children across a range of nutritional status will be tracked throughout their hospital stay and for 6 months after returning to their home and communities. This research will guide the choice of strategies to be taken forth into clinical trials to reduce mortality in this highly vulnerable population.

Read more about the CHAIN Network from our website here

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Replication Data for: Plasma lipopolysaccharide levels, microbiota and biomarkers of enteric dysfunction predict mortality in acutely ill children in sub-Saharan Africa and South Asia
Oct 22, 2024 - Clinical Research
Allen, Chris A.D.; Ghate, Arya, 2024, "Replication Data for: Plasma lipopolysaccharide levels, microbiota and biomarkers of enteric dysfunction predict mortality in acutely ill children in sub-Saharan Africa and South Asia", https://doi.org/10.7910/DVN/EJA4F6, Harvard Dataverse, V1
This is a replication dataset for the submitted manuscript titled: "Plasma lipopolysaccharide levels, microbiota and biomarkers of enteric dysfunction predict mortality in acutely ill children in sub-Saharan Africa and South Asia. Sub-Saharan Africa and South Asia account for a disproportionately high share of global under-five mortality. Acute inf...
Allen, Ghate, Njunge et. al_CHAIN LPS_Codebook_21OCT2024.xlsx
Oct 22, 2024 - Replication Data for: Plasma lipopolysaccharide levels, microbiota and biomarkers of enteric dysfunction predict mortality in acutely ill children in sub-Saharan Africa and South Asia
MS Excel Spreadsheet - 10.6 MB - MD5: 66c49e3ba7148f8d25007bf8e04355ae
DocumentationVariable Codebook/Data Dictionary
Allen Ghate Njunge et. al_CHAIN LPS_Readme_21OCT2024.txt
Oct 22, 2024 - Replication Data for: Plasma lipopolysaccharide levels, microbiota and biomarkers of enteric dysfunction predict mortality in acutely ill children in sub-Saharan Africa and South Asia
Plain Text - 14.4 KB - MD5: 8ca117795cf1334480ea613356fa4f25
DocumentationReadme
Code.zip
Oct 22, 2024 - Replication Data for: Plasma lipopolysaccharide levels, microbiota and biomarkers of enteric dysfunction predict mortality in acutely ill children in sub-Saharan Africa and South Asia
ZIP Archive - 1.1 MB - MD5: 4f933dd56d79d4ba521b0da33e79e275
CodeR scripts
Data.zip
Oct 22, 2024 - Replication Data for: Plasma lipopolysaccharide levels, microbiota and biomarkers of enteric dysfunction predict mortality in acutely ill children in sub-Saharan Africa and South Asia
ZIP Archive - 129.3 MB - MD5: cc7089d1ea0edd82c94a51ed6948ca30
.csv filesData
Figures.zip
Oct 22, 2024 - Replication Data for: Plasma lipopolysaccharide levels, microbiota and biomarkers of enteric dysfunction predict mortality in acutely ill children in sub-Saharan Africa and South Asia
ZIP Archive - 6.5 MB - MD5: 2a1f38e23a13f5ca52c0141dd96ab3c8
Figures
Data for: Pancreatic Enzymes and Bile Acids: A Non-Antibiotic approach to Treat Intestinal Dysbiosis in Acutely Ill Severely Malnourished Children
Jun 13, 2024
Berkley, James A.; Bandsma,Robert H.J.; Ngao, Narshion M.; Ngari, Moses M., 2024, "Data for: Pancreatic Enzymes and Bile Acids: A Non-Antibiotic approach to Treat Intestinal Dysbiosis in Acutely Ill Severely Malnourished Children", https://doi.org/10.7910/DVN/J6YSV8, Harvard Dataverse, V2
This dataset contains clinical information for 429 participants who were enrolled in the PBSAM trial (see protocol for more details). Participants were enrolled after meeting an inclusion criteria into the study of having at least 2 severe characteristics for an acute illness and with a severe acute malnutrition diagnosis. They were then followed u...
Analysis Code.zip
Jun 13, 2024 - Data for: Pancreatic Enzymes and Bile Acids: A Non-Antibiotic approach to Treat Intestinal Dysbiosis in Acutely Ill Severely Malnourished Children
ZIP Archive - 13.9 KB - MD5: daaef54a516fa13fba22fd5343c15658
Uses the analysis dataset to generate findings reported to DSMB
analysis_data.zip
Jun 13, 2024 - Data for: Pancreatic Enzymes and Bile Acids: A Non-Antibiotic approach to Treat Intestinal Dysbiosis in Acutely Ill Severely Malnourished Children
ZIP Archive - 150.9 KB - MD5: 3beb2ceb03fb9e7c2871646b50e5f8e5
Data
Codebook_Dictionary.zip
Jun 13, 2024 - Data for: Pancreatic Enzymes and Bile Acids: A Non-Antibiotic approach to Treat Intestinal Dysbiosis in Acutely Ill Severely Malnourished Children
ZIP Archive - 58.9 KB - MD5: 6418c9a0e3c9c369ba1e514b033ef4f8
DocumentationVariable Codebook/Data Dictionary
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