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  • Ovid Technologies (Wolters Kluwer Health)  (2)
  • Dehne, Sarah  (2)
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  • Ovid Technologies (Wolters Kluwer Health)  (2)
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  • 1
    In: European Journal of Anaesthesiology, Ovid Technologies (Wolters Kluwer Health), Vol. 37, No. 10 ( 2020-10), p. 908-919
    Abstract: 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 −1 , P  = 0.023). Presepsin exceeding the previously derived threshold of 184 pg ml −1 was associated with increased 30-day MACCE rate. After adjustment for confounders, presepsin more than 184 pg ml −1 [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.
    Type of Medium: Online Resource
    ISSN: 0265-0215 , 1365-2346
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2020
    detail.hit.zdb_id: 2004964-X
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  • 2
    In: Anesthesia & Analgesia, Ovid Technologies (Wolters Kluwer Health), Vol. 128, No. 6 ( 2019-06), p. 1344-1353
    Abstract: Perioperative major adverse cardiovascular and cerebrovascular events (MACCEs) are incompletely understood, and risk prediction is imprecise. Atherogenic leukocytes are crucial in cardiovascular events. However, it is unclear if surgical interventions affect leukocyte counts or activation status. Therefore, we investigated whether noncardiac surgery in patients with elevated cardiovascular risk is associated with changes in atherogenic leukocyte subsets and if these changes are related to perioperative MACCEs. METHODS: We enrolled 40 patients in this single-center prospective observational cohort study. Total leukocytes and subpopulations, including classical, intermediate, and nonclassical monocytes and natural killer and regulatory T cells, were quantified before surgery, at 2 and 6 hours after skin incision, and at postoperative days 1 and 2 (POD1+2). The monocyte activation marker presepsin (sCD14-ST) was measured post hoc to determine differentiation of classical to nonclassical monocytes. We evaluated presepsin for prediction of the composite primary end point MACCE (cardiovascular death, myocardial infarction, myocardial ischemia, and stroke) at 30 days. Its additive value to risk assessment based on high-sensitive cardiac troponin T and N -terminal probrain natriuretic peptide (NT-proBNP) was analyzed. RESULTS: We evaluated 38 patients, of whom 5 (13%) reached MACCE. In the entire cohort, classical monocytes continuously increased and peaked at POD1 (0.35 [0.23–0.43] cells per nanoliter blood [nL −1 ] vs 0.45 [0.31–0.66] cells·nL −1 , preoperative [pre-OP] vs POD1, P = .002). Intermediate monocytes doubled by POD1 (0.017 [0.013–0.021] vs 0.036 [0.022–0.043] cells·nL −1 , pre-OP versus POD1, P = .0003). Nonclassical monocytes decreased (0.022 [0.012–0.032] vs 0.012 [0.005–0.023] cells·nL −1 , pre-OP vs 6 hours, P = .003). In our patient population, we did not detect changes in any of the other predefined leukocyte subsets investigated. In patients experiencing a MACCE, classical monocyte expansion was reduced (0.081 [−0.16 to 0.081] cells·nL −1 vs 0.179 [0.081 to 0.292] cells·nL −1 , MACCE versus non-MACCE, P = .016). Patients in the event group presented with elevated pre-OP presepsin (1528 [406–1897] pg·mL −1 vs 123 [82.2–174] pg·mL −1 , MACCE versus non-MACCE, P = .0001). Presepsin was associated with MACCE (area under the curve = 0.964, [0.846–0.998], P = .001). Presepsin above the calculated threshold 〉 184 pg·mL −1 was superior to high-sensitive cardiac troponin T for improvement of NT-proBNP-based risk prediction (28 [74%] vs 22 [58%] correctly classified patients, P = .014). CONCLUSIONS: Noncardiac surgery was associated with an increase in atherogenic leukocyte subsets. In a post hoc analysis, elevated pre-OP presepsin was associated with MACCE and improved NT-proBNP-based risk assessment. After validation in an independent data set, a presepsin cutoff of 184 pg·mL −1 might qualify to complement NT-proBNP-based risk prediction, thereby increasing the proportion of correctly identified high-risk patients.
    Type of Medium: Online Resource
    ISSN: 0003-2999
    RVK:
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2019
    detail.hit.zdb_id: 2018275-2
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