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


Journal

World journal of surgery
ISSN: 1432-2323
Titre abrégé: World J Surg
Pays: United States
ID NLM: 7704052

Informations de publication

Date de publication:
Mar 2019
Historique:
pubmed: 6 11 2018
medline: 25 6 2019
entrez: 4 11 2018
Statut: ppublish

Résumé

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. 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 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). Measuring suPAR levels in acutely admitted patients may aid in identifying high-risk patients and improve prediction of postoperative complications.

Sections du résumé

BACKGROUND 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 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
RESULTS 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 CONCLUSIONS
Measuring suPAR levels in acutely admitted patients may aid in identifying high-risk patients and improve prediction of postoperative complications.

Identifiants

pubmed: 30390135
doi: 10.1007/s00268-018-4841-1
pii: 10.1007/s00268-018-4841-1
doi:

Substances chimiques

Biomarkers 0
Receptors, Urokinase Plasminogen Activator 0
C-Reactive Protein 9007-41-4

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

780-790

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Auteurs

Morten Alstrup (M)

Department of Cardiology, Herlev and Gentofte Hospital, University of Copenhagen, Herlev, Denmark. Mortenhansen87@me.com.

Jeppe Meyer (J)

Clinical Research Centre, Amager and Hvidovre Hospital, University of Copenhagen, Hvidovre, Denmark.

Martin Schultz (M)

Department of Cardiology, Herlev and Gentofte Hospital, University of Copenhagen, Herlev, Denmark.
Clinical Research Centre, Amager and Hvidovre Hospital, University of Copenhagen, Hvidovre, Denmark.

Line Jee Hartmann Rasmussen (LJH)

Clinical Research Centre, Amager and Hvidovre Hospital, University of Copenhagen, Hvidovre, Denmark.

Lars Simon Rasmussen (LS)

Department of Anesthesia, Centre of Head and Orthopaedics, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.

Lars Køber (L)

Department of Cardiology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.

Jakob Lundager Forberg (JL)

Department of Emergency Medicine, Helsingborg Hospital, Helsingborg, Sweden.

Jesper Eugen-Olsen (J)

Clinical Research Centre, Amager and Hvidovre Hospital, University of Copenhagen, Hvidovre, Denmark.

Kasper Iversen (K)

Department of Cardiology, Herlev and Gentofte Hospital, University of Copenhagen, Herlev, Denmark.

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