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Research Theme

Modernising Medical Microbiology and Big Infection Diagnostics

Home > Research Themes Overview > Modernising Medical Microbiology and Big Infection Diagnostics > Infections in Oxfordshire Research Database > IORD Projects > Analysis of trends in mortality rates following infection with SARS-CoV-2 in patients with underlying haemato-oncology diagnoses at Oxford University Hospitals

IORD Project

Analysis of trends in mortality rates following infection with SARS-CoV-2 in patients with underlying haemato-oncology diagnoses at Oxford University Hospitals

ONGOING
IORD category: Antimicrobial Resistance and Antibiotics, Electronic Health Records
Chief Investigator: Prof David Eyre
Sponsor: OUH
Research location: OUH NHS Trust
Approval date: 11 Nov 2022

Antimicrobial resistance is a growing threat to public health worldwide. In hospitals, if antibiotics do not treat severe infections effectively this can lead to more deaths and longer hospital stays. However, prompt adjustments to antibiotic treatments to switch to an antibiotic that works may potentially improve outcomes for patients.

A recent study has shown that using past test results from other patients can be used to guide treatment for patients not responding to first-line antibiotics. We will extend the relatively simple population-level approach in the previous study to make personalized recommendations to guide escalation of antibiotic treatment in patients who do not respond well to initial treatment. We will develop statistical and machine learning approaches to predict resistance to commonly used antibiotics in patients who have infections resistant to first-line antibiotics. We will use multiple types of patient data (e.g., patient demographics, past medical conditions, vital signs, lab test results) to make predictions.

Modernising Medical Microbiology and Big Infection Diagnostics

  • Modernising Medical Microbiology and Big Infection Diagnostics
  • Sub-theme 1: Novel rapid, high-throughput diagnostic workflows for infection
  • Sub-theme 2: Big data-led infection diagnosis and management strategies
  • Infections in Oxfordshire Research Database (IORD)
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