CHAIN Network Dataverse

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.

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1 to 4 of 4 Results

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...
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...
Data for: CHAIN neurodevelopment sub-study Jul 7, 2022 van den Heuvel, Meta, 2022, "Data for: CHAIN neurodevelopment sub-study", https://doi.org/10.7910/DVN/VYJEJK, Harvard Dataverse, V1 The dataset contains all data used to analyze the neurodevelopment sub-study that was run between 01/01/2017 and 01/01/2019. This was a multi-site longitudinal study that involved 3 sites in 3 countries. The study compared antibiotic used to treat children with severe acute malnutrition.Participant demographic, clinical, social, and laboratory data...
Data for: Childhood Acute Illness and Nutrition (CHAIN) Network: a multi-site prospective cohort study to identify modifiable risk factors for mortality among acutely ill children in Africa and Asia Jan 28, 2021 - Clinical Research The Childhood Acute Illness and Nutrition Network, 2021, "Data for: Childhood Acute Illness and Nutrition (CHAIN) Network: a multi-site prospective cohort study to identify modifiable risk factors for mortality among acutely ill children in Africa and Asia", https://doi.org/10.7910/DVN/5H5X0P, Harvard Dataverse, V1, UNF:6:6hItf/nkz0vCQ+cljRC6fw== [fileUNF] This dataset contains the entire data that was collected by the CHAIN prospective cohort study that was run between 01/11/2016 and 31/03/2019. The study was a multi-site longitudinal study that involved 9 sites in 6 countries. During the study, participant demographic, clinical, social, GPS and laboratory data was collected at various timepoints de...

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...

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...

Data for: CHAIN neurodevelopment sub-study

Jul 7, 2022

van den Heuvel, Meta, 2022, "Data for: CHAIN neurodevelopment sub-study", https://doi.org/10.7910/DVN/VYJEJK, Harvard Dataverse, V1

The dataset contains all data used to analyze the neurodevelopment sub-study that was run between 01/01/2017 and 01/01/2019. This was a multi-site longitudinal study that involved 3 sites in 3 countries. The study compared antibiotic used to treat children with severe acute malnutrition.Participant demographic, clinical, social, and laboratory data...

Data for: Childhood Acute Illness and Nutrition (CHAIN) Network: a multi-site prospective cohort study to identify modifiable risk factors for mortality among acutely ill children in Africa and Asia

Jan 28, 2021 - Clinical Research

The Childhood Acute Illness and Nutrition Network, 2021, "Data for: Childhood Acute Illness and Nutrition (CHAIN) Network: a multi-site prospective cohort study to identify modifiable risk factors for mortality among acutely ill children in Africa and Asia", https://doi.org/10.7910/DVN/5H5X0P, Harvard Dataverse, V1, UNF:6:6hItf/nkz0vCQ+cljRC6fw== [fileUNF]

This dataset contains the entire data that was collected by the CHAIN prospective cohort study that was run between 01/11/2016 and 31/03/2019. The study was a multi-site longitudinal study that involved 9 sites in 6 countries. During the study, participant demographic, clinical, social, GPS and laboratory data was collected at various timepoints de...

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