Research
Print page Print page
Switch language
The Capital Region of Denmark - a part of Copenhagen University Hospital
Published

Soluble Urokinase Plasminogen Activator Receptor (suPAR) as an Added Predictor to Existing Preoperative Risk Assessments

Research output: Contribution to journalJournal articleResearchpeer-review

  1. Anastomotic Leakage After Stoma Reversal Combined with Incisional Hernia Repair

    Research output: Contribution to journalJournal articleResearchpeer-review

  2. Consensus on Training and Implementation of Enhanced Recovery After Surgery: A Delphi Study

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. Second Generation of a Fast-track Liver Resection Programme

    Research output: Contribution to journalJournal articleResearchpeer-review

  1. Prevalence and risk factors of prolonged QT interval and electrocardiographic abnormalities in persons living with HIV

    Research output: Contribution to journalJournal articleResearchpeer-review

  2. Association between Type D personality and outcomes in patients with non-ischemic heart failure

    Research output: Contribution to journalJournal articleResearchpeer-review

View graph of relations

Background: Risk assessment strategies, such as using the American Society of Anesthesiologists (ASA) physical status classification, attempt to identify surgical high-risk patients. Soluble urokinase plasminogen activator receptor (suPAR) is a biomarker reflecting overall systemic inflammation and immune activation, and it could potentially improve the identification of high-risk surgical patients. Methods: We included patients acutely admitted to the emergency department who subsequently underwent surgery within 90 days of admission. Patients were stratified into low-risk or high-risk groups, according to ASA classification (ASA low: ASA I–II; ASA high: ASA III–VI) and suPAR level, measured at admission (suPAR high above and suPAR low below 5.5 ng/ml), respectively. Pre-specified complications were identified in national registries and electronic medical records. The association between ASA classification, suPAR level, CRP and the rate of postoperative complications was analyzed with logistic regression and Cox regression analyses, estimating odds ratios and hazard ratios (HRs). Results: During 90-day follow-up from surgery, 31 (7.0%) patients died and 158 (35.6%) patients had postoperative complications. After adjusting for age, sex, and ASA classification, the HR for 90-day postoperative mortality was 2.5 (95% CI 1.6–4.0) for every doubling of suPAR level. suPAR was significantly better than CRP at predicting mortality and all complications (P = 0.0036 and P = 0.0041, respectively). Combining ASA classification and suPAR level significantly improved prediction of mortality and the occurrence of a postoperative complication within 90 days after surgery (P < 0.0001). Conclusion: Measuring suPAR levels in acutely admitted patients may aid in identifying high-risk patients and improve prediction of postoperative complications.

Original languageEnglish
JournalWorld Journal of Surgery
Volume43
Issue number3
Pages (from-to)780-790
Number of pages11
ISSN0364-2313
DOIs
Publication statusPublished - Mar 2019

    Research areas

  • Adult, Aged, Aged, 80 and over, Biomarkers/blood, C-Reactive Protein/metabolism, Female, Health Status, Humans, Male, Middle Aged, Mortality, Postoperative Complications/epidemiology, Predictive Value of Tests, Preoperative Period, Proportional Hazards Models, Receptors, Urokinase Plasminogen Activator/blood, Risk Assessment, Surgical Procedures, Operative

ID: 55573462