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171 to 180 of 266 Results

Replication Data for: Systemic inflammation and metabolic disturbances underlie inpatient mortality among ill children with severe malnutrition Mar 9, 2021 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] 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 ch...
F75_Admission_Metabolomics.tab Mar 9, 2021 - Replication Data for: Systemic inflammation and metabolic disturbances underlie inpatient mortality among ill children with severe malnutrition Tabular Data - 380.2 KB - 208 Variables, 470 Observations - UNF:6:X9v5HxKG+oMopCoZ4PHiqQ== CSVData 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)
F75_case-control_key.tab Mar 9, 2021 - Replication Data for: Systemic inflammation and metabolic disturbances underlie inpatient mortality among ill children with severe malnutrition Tabular Data - 4.9 KB - 3 Variables, 360 Observations - UNF:6:77c9phvEmrCjSpUO6UQ1Ng== CSVData This file contains keys for the case-control matched pairs of the study and their survival outcomes.
F75_Metabolomics_Preprocess.R Mar 9, 2021 - Replication Data for: Systemic inflammation and metabolic disturbances underlie inpatient mortality among ill children with severe malnutrition R Syntax - 3.5 KB - MD5: 5e5bbb2dd68c509a8ee66db27de8dc6f CodeR Script 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
Wen_et_al_2021_F75_Metabolomics_codebook.pdf Mar 9, 2021 - Replication Data for: Systemic inflammation and metabolic disturbances underlie inpatient mortality among ill children with severe malnutrition Adobe PDF - 95.5 KB - MD5: ecfc34d93bf163bbc1d3cf47f28df37b DocumentationVariable Codebook/Data Dictionary This data dictionary contains a list of variables in the datafile and their descriptions
Wen_et_al_2021_F75_Metabolomics_Readme.txt Mar 9, 2021 - Replication Data for: Systemic inflammation and metabolic disturbances underlie inpatient mortality among ill children with severe malnutrition Plain Text - 7.7 KB - MD5: e49b3be3bcf9a99f310def652f8a137e DocumentationReadme
CHAIN Network Dataverse(KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya) Jan 28, 2021 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 chil...
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 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...
CHAIN_Data_Domains.tab Jan 28, 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 Tabular Data - 1.0 KB - 6 Variables, 11 Observations - UNF:6:6hItf/nkz0vCQ+cljRC6fw== Documentation Contains a summarized dictionary of variables used in this repository arranged by a domain theme
CHAIN_DATA_v9_Readme.txt Jan 28, 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 Plain Text - 6.1 KB - MD5: 15861bd12607eb77c6e3d8f5f5147558 Documentation Readme file

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

Mar 9, 2021

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]

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 ch...

F75_Admission_Metabolomics.tab

Mar 9, 2021 - Replication Data for: Systemic inflammation and metabolic disturbances underlie inpatient mortality among ill children with severe malnutrition

Tabular Data - 380.2 KB - 208 Variables, 470 Observations -

CSVData

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)

F75_case-control_key.tab

Mar 9, 2021 - Replication Data for: Systemic inflammation and metabolic disturbances underlie inpatient mortality among ill children with severe malnutrition

Tabular Data - 4.9 KB - 3 Variables, 360 Observations -

CSVData

This file contains keys for the case-control matched pairs of the study and their survival outcomes.

F75_Metabolomics_Preprocess.R

Mar 9, 2021 - Replication Data for: Systemic inflammation and metabolic disturbances underlie inpatient mortality among ill children with severe malnutrition

R Syntax - 3.5 KB -

CodeR Script

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

Wen_et_al_2021_F75_Metabolomics_codebook.pdf

Mar 9, 2021 - Replication Data for: Systemic inflammation and metabolic disturbances underlie inpatient mortality among ill children with severe malnutrition

Adobe PDF - 95.5 KB -

DocumentationVariable Codebook/Data Dictionary

This data dictionary contains a list of variables in the datafile and their descriptions

Wen_et_al_2021_F75_Metabolomics_Readme.txt

Mar 9, 2021 - Replication Data for: Systemic inflammation and metabolic disturbances underlie inpatient mortality among ill children with severe malnutrition

Plain Text - 7.7 KB -

DocumentationReadme

CHAIN Network Dataverse(KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya)

Jan 28, 2021

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 chil...

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

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...

CHAIN_Data_Domains.tab

Jan 28, 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

Tabular Data - 1.0 KB - 6 Variables, 11 Observations -

Documentation

Contains a summarized dictionary of variables used in this repository arranged by a domain theme

CHAIN_DATA_v9_Readme.txt

Plain Text - 6.1 KB -

Documentation

Readme file

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