Clinical sign and biomarker-based algorithm to identify bacterial pneumonia among outpatients with lower respiratory tract infection in Tanzania
Published inBMC infectious diseases, vol. 22, no. 1, 39
Publication date2022-01-06
First online date2022-01-06
Abstract
Keywords
- Bacterial community-acquired pneumonia
- Biomarkers
- PCT
- Predicting algorithm
- Algorithms
- Biomarkers
- C-Reactive Protein / analysis
- Humans
- Outpatients
- Pneumonia, Bacterial / diagnosis
- Prospective Studies
- Respiratory Tract Infections / diagnosis
- Tanzania
Affiliation
Research group
Funding
- Bill and Melinda Gates Foundation - [OPP-1022128]
- Canadian Institutes of Health Research,Canada - [FDN-148439]
- Fondation Leenaards - [postdoctoral fellowship]
- Canada Research Chairs -
Citation (ISO format)
HOGENDOORN, Sarika K L et al. Clinical sign and biomarker-based algorithm to identify bacterial pneumonia among outpatients with lower respiratory tract infection in Tanzania. In: BMC infectious diseases, 2022, vol. 22, n° 1, p. 39. doi: 10.1186/s12879-021-06994-9
Main files (1)
Article (Published version)
Secondary files (1)
Identifiers
- PID : unige:166063
- DOI : 10.1186/s12879-021-06994-9
- PMID : 34991507
- PMCID : PMC8735728
ISSN of the journal1471-2334