4583 22 17464 2 96031 document 17464 FIEBRE_biomarkers_data.csv text/plain def2e298538e2d9d66aa8841379afd723f72da29a4ed8c5e04fbcd085df26a83 SHA256 53 2025-02-24 15:34:22 https://datacompass.lshtm.ac.uk/id/eprint/4583/1/FIEBRE_biomarkers_data.csv 4583 1 1 text/plain Dataset en staffonly datasharingagreement

FIEBRE_biomarkers_data.csv

data indefinite A dataset of 1,955 febrile patients in Mozambique from the FIEBRE study, including plasma biomarker levels, clinical data, and outcomes by day 28 17465 2 96033 document 17465 FIEBRE_biomarkers_data_codebook.html text/html 2c7b757a1d3ded8268d8bc3c69c290cf6ecbdbe776374445655c068aef3c4a72 SHA256 11147 2025-02-24 15:35:02 https://datacompass.lshtm.ac.uk/id/eprint/4583/2/FIEBRE_biomarkers_data_codebook.html 4583 2 2 text/html Text en public cc_by_4

FIEBRE_biomarkers_data_codebook.html

documentation indefinite Codebook for FIEBRE biomarkers data 17466 2 96035 document 17466 4583_UserGuide.html text/html 70ae31fa4fbf112a954f89199b93c781225a096f03dcee4379af2537d5be20af SHA256 7311 2025-02-24 15:35:07 https://datacompass.lshtm.ac.uk/id/eprint/4583/3/4583_UserGuide.html 4583 3 3 text/html Text en public cc_by_4

4583_UserGuide.html

documentation indefinite User guide for FIEBRE biomarkers data 17467 1 96040 document 17467 indexcodes.txt text/plain 9a26079f1e11cefa23cf8fc2da273106ccfc298f3e60c04306f0de9771cca3d8 SHA256 1788 2025-02-24 15:44:25 https://datacompass.lshtm.ac.uk/id/eprint/4583/4/indexcodes.txt 4583 4 4 text/plain en public

indexcodes.txt

http://eprints.org/relation/isVersionOf https://datacompass.lshtm.ac.uk/id/document/17465 http://eprints.org/relation/isVolatileVersionOf https://datacompass.lshtm.ac.uk/id/document/17465 http://eprints.org/relation/isIndexCodesVersionOf https://datacompass.lshtm.ac.uk/id/document/17465 indefinite Generate index codes conversion from Text to indexcodes 17468 1 96041 document 17468 indexcodes.txt text/x-c 524603dc236d693d2150ac53ee9b3eef76a772291e9a9a11c25b97e48663c429 SHA256 2731 2025-02-24 15:44:25 https://datacompass.lshtm.ac.uk/id/eprint/4583/5/indexcodes.txt 4583 5 5 text/x-c en public

indexcodes.txt

http://eprints.org/relation/isVersionOf https://datacompass.lshtm.ac.uk/id/document/17466 http://eprints.org/relation/isVolatileVersionOf https://datacompass.lshtm.ac.uk/id/document/17466 http://eprints.org/relation/isIndexCodesVersionOf https://datacompass.lshtm.ac.uk/id/document/17466 indefinite Generate index codes conversion from Text to indexcodes archive 3 disk0/00/00/45/83 2025-02-24 15:38:11 2025-08-07 15:34:19 2025-02-24 15:38:11 data_collection show Balanza Núria FALSE Bassat Quique FALSE Kain Kevin C. FALSE Hopkins Heidi 0000-0002-8477-7583 TRUE 63e6910fe680cfdd24921db3f19132a8 Mabey David CW 0000-0002-0031-8276 TRUE 28675e0a9d179e9729c0f9454269a749 Lal Sham 0000-0002-3650-1398 TRUE 6dd637d601482cb95555ec26f0b077cb London School of Hygiene & Tropical Medicine, London, United Kingdom ITCR ITDC Biomarkers Fever Prognosis Mortality Risk stratification An anonymised dataset of 1,955 paediatric and adult patients with febrile illness in southern Mozambique, who gave informed consent to participate in the prospective observational FIEBRE study between December 2018 and February 2021. Dataset contains variables on biomarker levels in plasma, demographic data, results of basic diagnostic tests and health status data, calculated clinical severity scores, and mortality and other adverse outcomes by day 28 follow-up. 2025-02-24 completed London School of Hygiene & Tropical Medicine 10.17037/DATA.00004583 Dataset London School of Hygiene & Tropical Medicine, London, United Kingdom MeasurementsAndTests.Physical 174 EK-EO restricted London, United Kingdom Foreign, Commonwealth and Development Office Febrile Illness Evaluation in a Broad Range of Endemicities (FIEBRE) Study Consortium Dataset Quantitative Study staff collected demographic data, took a standardised clinical history, and performed a physical examination. Lactate levels was measured on-site with a point-of-care analyser. Additional clinical data were collected for inpatients during admission and at discharge. In a follow-up visit at day 28, vital status and data related to the original illness episode were documented. All data were recorded electronically using Open Data Kit (ODK). Plasma samples were analysed at UHN (Toronto, Canada) for biomarkers of immune and endothelial activation using Luminex and ELISA, and the biomarker results were merged with the rest of the dataset using study IDs. Data cleaning involved consistency checks and verifying data integrity to ensure accuracy before statistical analysis and sharing. For biomarker data, duplicate measurements were averaged and concentrations outside the dynamic range were assigned the highest limit of the standard curve or a value of one-third of the lowest limit. en 2018-12 2021-03 https://researchonline.lshtm.ac.uk/id/eprint/4676933 Febrile Illness Evaluation in a Broad Range of Endemicities (FIEBRE) Study Consortium Foreign, Commonwealth and Development Office https://doi.org/10.13039/501100020171 2025-02-24