• Morten Alstrup, Jeppe Meyer, Martin Schultz, Rasmussen Line Jee Hartmann LJH Clinical Research Centre, Amager and Hvidovre Hospital, University of Copenhagen, Hvidovre, Denmark., Lars Simon Rasmussen, Lars Køber, Jakob Lundager Forberg, Jesper Eugen-Olsen, and Kasper Iversen.
• Department of Cardiology, Herlev and Gentofte Hospital, University of Copenhagen, Herlev, Denmark. Mortenhansen87@me.com.
• World J Surg. 2019 Mar 1; 43 (3): 780-790.

BackgroundRisk 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.MethodsWe 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 (ASAlow: ASA I-II; ASAhigh: ASA III-VI) and suPAR level, measured at admission (suPARhigh above and suPARlow 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).ResultsDuring 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).ConclusionMeasuring suPAR levels in acutely admitted patients may aid in identifying high-risk patients and improve prediction of postoperative complications.

24 keywords...

hide…