Culture-free detection of bacteria from blood for rapid sepsis diagnosis

Approximately 50 million people suffer from sepsis yearly, and 13 million die from it. For every hour a patient with septic shock is untreated, their survival rate decreases by 8%. Therefore, rapid detection and antibiotic susceptibility profiling of bacterial agents in the blood of sepsis patients are crucial for determining appropriate treatment. Here, we introduce a method to isolate bacteria from whole blood with high separation efficiency through Smart centrifugation, followed by microfluidic trapping and subsequent detection using deep learning applied to microscopy images. We detected, within 2 h, E. coli, K. pneumoniae, or E. faecalis from spiked samples of healthy human donor blood at clinically relevant concentrations as low as 9, 7 and 32 colony-forming units per ml of blood, respectively. However, the detection of S. aureus remains a challenge. This rapid isolation and detection represents a significant advancement towards culture-free detection of bloodstream infections.

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Publication Details

Journal
npj Digital Medicine
Published
2025-08-25
DOI
https://doi.org/10.1038/s41746-025-01948-w
Citations
6
Primary Topic
Bacterial Identification and Susceptibility Testing
Type
article
Field-Weighted Citation Impact
7.91

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article

Culture-free detection of bacteria from blood for rapid sepsis diagnosis

Carolina Wählby, Vinodh Kandavalli, Mohammad Osaid, Johan Elf et al.
6 citations
npj Digital Medicine
Bacterial Identification and Susceptibility Testing
7.91
article

Culture-free detection of bacteria from blood for rapid sepsis diagnosis

Carolina Wählby, Vinodh Kandavalli, Mohammad Osaid, Johan Elf, Jimmy Larsson, Kerem Kaya, Wouter van der Wijngaart, Erik Hallström, Mónica Miguélez
article en
6 citations

Abstract

Approximately 50 million people suffer from sepsis yearly, and 13 million die from it. For every hour a patient with septic shock is untreated, their survival rate decreases by 8%. Therefore, rapid detection and antibiotic susceptibility profiling of bacterial agents in the blood of sepsis patients are crucial for determining appropriate treatment. Here, we introduce a method to isolate bacteria from whole blood with high separation efficiency through Smart centrifugation, followed by microfluidic trapping and subsequent detection using deep learning applied to microscopy images. We detected, within 2 h, E. coli, K. pneumoniae, or E. faecalis from spiked samples of healthy human donor blood at clinically relevant concentrations as low as 9, 7 and 32 colony-forming units per ml of blood, respectively. However, the detection of S. aureus remains a challenge. This rapid isolation and detection represents a significant advancement towards culture-free detection of bloodstream infections.

npj Digital MedicineVol. 8(1)
Uppsala University (SE), Science for Life Laboratory (SE), KTH Royal Institute of Technology (SE)
Stiftelsen för Strategisk Forskning, Chalmers Tekniska Högskola, Linköpings Universitet, Knut och Alice Wallenbergs Stiftelse, Kungliga Tekniska Högskolan, Vetenskapsrådet, National Supercomputer Centre, Linköpings Universitet
Openalex Percentile: Top 2%
Bacterial Identification and Susceptibility Testing
7.91
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