NIHR Biomedical Research Centre: Oxford

Enabling translational research through partnership

NIHR 20th Anniversary NIHR website
NIHR Biomedical Research Centre: Oxford
  • Home
  • About
    • About us
    • Impact
    • Our next BRC
    • Steering Committee
    • Promoting equality, diversity and inclusion in research
    • Current Vacancies
    • Stay in Touch
    • Contact Us
  • Research
    • Research Overview
      • NIHR Clinical Research Facility
      • Ethics in the NIHR BRC: Oxford
      • Health Economics
      • Medical Statistics
    • Cancer
    • Cardiovascular Medicine
    • Digital Health from Hospital to Home
    • Gene and Cell Therapy
    • Genomic Medicine
    • Imaging
    • Inflammation across Tissues
    • Life-saving Vaccines
    • Metabolic Experimental Medicine
    • Modernising Medical Microbiology and Big Infection Diagnostics
      • Theme overview
      • Infections in Oxfordshire Database (IORD)
    • Musculoskeletal
    • Preventive Neurology
    • Respiratory Medicine
    • Surgical Innovation, Technology and Evaluation
    • Translational Data Science
  • Patient & Public Involvement
    • For patients and the public
    • For researchers
    • More information
  • Training
  • Industry & Partnerships
  • News
  • Events
  • Videos

Research Theme

IORD Project

Outcomes after elective surgery: prognostic information in baseline blood tests

COMPLETED
IORD category: Electronic Health Records
Chief Investigator: Dr David Wyllie
Sponsor: OUH
Research location: OUH NHS Trust
Approval date: 04 Jul 2014

Although relatively rare (under 5%), surgical site infections are the most common complication of planned operations (hospital admissions for what is termed “elective surgery”). Other complications (such as needing to be re-operated on, or even dying) are also rare, but may also be related to underlying infections, even when these cannot be directly identified by growing micro-organisms from patient samples. These complications cause ill-health and are extremely distressing for patients. Some predictors of complications are known – for example, making sure patients glucose levels remain in normal ranges, and that they do not get too hot or too cold reduces the risk of complications. However, recent studies in other infections including tuberculosis and malaria suggest that the relative numbers of some different types of blood cells might also be related to poor outcomes. We want to find out whether these blood cell values could also be a predictor of complications following planned operations, and whether this could be a useful way to identify patients at high risk, who could then be managed more intensively to reduce complications.

Modernising Medical Microbiology icon

Modernising Medical Microbiology and Big Infection Diagnostics

  • Theme overview
  • Sub-theme 1: Novel rapid, high-throughput diagnostic workflows for infection
  • Sub-theme 2: Big data-led infection diagnosis and management strategies
  • Contacts
  • Videos
  • News

Infections in Oxfordshire Research Database (IORD)

  • IORD Overview
    • What data is in IORD?
    • Different kinds of data in IORD
    • Who can use the data?
    • How do they get the data?
    • What do they do with the data?
    • What kind of questions has IORD answered? Why is this important?
    • What was it like before IORD?
    • Opting out
  • IORD Application Trajectory
  • IORD Projects
  • IORD Publications
  • IORD Privacy Notice
  • IORD Glossary
  • IORD FAQs
  • IORD Infographics
You are here: Home > IORD > Outcomes after elective surgery: prognostic information in baseline blood tests

Subscribe to the BRC Oxford Newsletter

Keep informed about the work of the BRC Oxford by subscribing to our Mailchimp e-newsletter. It is produced several times a year and delivers news and information about upcoming events straight to your inbox.

Subscribe Now

Feedback

We’d love to hear your feedback. Please contact us at obrcenquiries@ouh.nhs.uk

BRC Oxford on Social Media

  • Bluesky
  • Facebook
  • LinkedIn
  • YouTube
  • Data Control and Privacy
  • Accessibility
  • Our Partners
  • Disclaimer
  • Contact

Copyright © 2026 NIHR Biomedical Research Centre: Oxford