Literature DB >> 32516228

Presepsin for pre-operative prediction of major adverse cardiovascular events in coronary heart disease patients undergoing noncardiac surgery: Post hoc analysis of the Leukocytes and Cardiovascular Peri-operative Events-2 (LeukoCAPE-2) Study.

Jessica Handke1, Anna S Scholz, Sarah Dehne, Johannes Krisam, Hans-Jörg Gillmann, Henrike Janssen, Christoph Arens, Florian Espeter, Florian Uhle, Johann Motsch, Markus A Weigand, Jan Larmann.   

Abstract

BACKGROUND: Accurate pre-operative evaluation of cardiovascular risk is vital to identify patients at risk for major adverse cardiovascular and cerebrovascular events (MACCE) after noncardiac surgery. Elevated presepsin (sCD14-ST) is associated with peri-operative MACCE in coronary artery disease (CAD) patients after noncardiac surgery.
OBJECTIVES: Validating the prognostic utility of presepsin for MACCE after noncardiac surgery.
DESIGN: Prospective patient enrolment and blood sampling, followed by post hoc evaluation of pre-operative presepsin for prediction of MACCE.
SETTING: Single university centre. PATIENTS: A total of 222 CAD patients undergoing elective, inpatient noncardiac surgery. INTERVENTION: Pre-operative presepsin measurement. MAIN OUTCOME MEASURES: MACCE (cardiovascular death, myocardial infarction, myocardial ischaemia and stroke) at 30 days postsurgery.
RESULTS: MACCE was diagnosed in 23 (10%) patients. MACCE patients presented with increased pre-operative presepsin (median [IQR]; 212 [163 to 358] vs. 156 [102 to 273] pgml, P = 0.023). Presepsin exceeding the previously derived threshold of 184 pg ml was associated with increased 30-day MACCE rate. After adjustment for confounders, presepsin more than 184 pg ml [OR = 2.8 (95% confidence interval 1.1 to 7.3), P = 0.03] remained an independent predictor of peri-operative MACCE. Predictive accuracy of presepsin was moderate [area under the curve (AUC) = 0.65 (0.54 to 0.75), P = 0.023]. While the basic risk model of revised cardiac risk index, high-sensitive cardiac troponin T and N-terminal fragment of pro-brain natriuretic peptide resulted in an AUC = 0.62 (0.48 to 0.75), P = 0.072, addition of presepsin to the model led to an AUC = 0.67 (0.56 to 0.78), P = 0.009 and (ΔAUC = 0.05, P = 0.438). Additive risk predictive value of presepsin was demonstrated by integrated discrimination improvement analysis (integrated discrimination improvement = 0.023, P = 0.022). Net reclassification improvement revealed that the additional strength of presepsin was attributed to the reclassification of no-MACCE patients into a lower risk group.
CONCLUSION: Increased pre-operative presepsin independently predicted 30-day MACCE in CAD patients undergoing major noncardiac surgery. Complementing cardiovascular risk prediction by inflammatory biomarkers, such as presepsin, offers potential to improve peri-operative care. However, as prediction accuracy of presepsin was only moderate, further validation studies are needed. TRIAL REGISTRATION: Clinicaltrials.gov: NCT03105427.

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Year:  2020        PMID: 32516228     DOI: 10.1097/EJA.0000000000001243

Source DB:  PubMed          Journal:  Eur J Anaesthesiol        ISSN: 0265-0215            Impact factor:   4.330


  3 in total

Review 1.  The comparative and added prognostic value of biomarkers to the Revised Cardiac Risk Index for preoperative prediction of major adverse cardiac events and all-cause mortality in patients who undergo noncardiac surgery.

Authors:  Lisette M Vernooij; Wilton A van Klei; Karel Gm Moons; Toshihiko Takada; Judith van Waes; Johanna Aag Damen
Journal:  Cochrane Database Syst Rev       Date:  2021-12-21

Review 2.  [Cardiac biomarkers in noncardiac surgery patients : Review of cardiac biomarkers for risk stratification and detection of postoperative adverse cardiac events].

Authors:  Sebastian Roth; Ragnar Huhn; Christian Jung; Amin Polzin; Stefan De Hert; Giovanna Lurati Buse
Journal:  Med Klin Intensivmed Notfmed       Date:  2021-02-09       Impact factor: 0.840

3.  Biomarkers and Cellular Biology in Perioperative Medicine.

Authors:  Jan Larmann; Markus M Luedi
Journal:  Cells       Date:  2022-03-29       Impact factor: 6.600

  3 in total

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