Literature DB >> 24992322

Predicting mortality and morbidity after elective cardiac surgery using vasoactive and inflammatory biomarkers with and without the EuroSCORE model.

Abraham Schoe1, Emile F Schippers2, Stefan Ebmeyer3, Joachim Struck3, Robert J M Klautz4, Evert de Jonge5, Jaap T van Dissel2.   

Abstract

BACKGROUND: In cardiac surgery, preoperative mortality risk assessment tools like the EuroSCORE help to guide physicians in optimizing perioperative care of patients. We investigated the value of preoperative levels of inflammatory (procalcitonin [PCT]) and vasoactive (C-terminal pro-arginine vasopressin [CT-proAVP], midregional pro-atrial natriuretic peptide [MR-proANP], midregional proadrenomedullin [MR-proADM], and C-terminal pro-endothelin-1 [CT-proET-1]) biomarkers for risk assessment of mortality and morbidity and compared it with the EuroSCORE.
METHODS: We performed a prospective observational cohort study in a single-center academic medical hospital and analyzed 746 consecutive patients undergoing elective cardiac surgery. In a directly preoperative blood sample, we assessed PCT, CT-proAVP, MR-proANP, MR-proADM, and CT-proET-1 levels.
RESULTS: In single-variable logistic regression models, all biomarkers predicted 30-day mortality. The biomarkers CT-proET-1 (C statistic, 0.785; 95% CI, 0.687-0.883) and MR-proADM (C statistic, 0.780; 95% CI, 0.671-0.889) predicted 30-day mortality. For the EuroSCORE, the C statistic was 0.689 (95% CI, 0.594-0.784). There was a significant improvement in the prediction of 30-day mortality when the EuroSCORE was combined with MR-proADM (C statistic, 0.792; 95% CI, 0.699-0.884) or CT-proET-1 (C statistic, 0.798; 95% CI, 0.715-0.880). The model with EuroSCORE, MR-proADM, and CT-proET1 had the highest C statistic of 0.803 (95% CI, 0.717-0.890) and was significantly better than the EuroSCORE alone.
CONCLUSIONS: In elective cardiac surgery, preoperative levels of MR-proADM and CT-proET-1 are predictors of 30-day mortality and could improve the predictive accuracy of the EuroSCORE. Further research should confirm the place of these new biomarkers in the prediction of mortality and identification of patients at risk.

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Year:  2014        PMID: 24992322     DOI: 10.1378/chest.13-2615

Source DB:  PubMed          Journal:  Chest        ISSN: 0012-3692            Impact factor:   9.410


  2 in total

1.  CT-proET1 predicts pulmonary hemodynamics in Scleroderma-associated pulmonary hypertension.

Authors:  Henrik Ten Freyhaus; Daniel Dumitrescu; Sonja Schnorbach; Kai Kappert; Thomas Viethen; Martin Hellmich; Nicolas Hunzelmann; Stephan Rosenkranz
Journal:  Clin Res Cardiol       Date:  2015-02-24       Impact factor: 5.460

2.  The predictive value of TIMP-2 and IGFBP7 for kidney failure and 30-day mortality after elective cardiac surgery.

Authors:  Kevin Esmeijer; Abraham Schoe; L Renee Ruhaak; Ellen K Hoogeveen; Darius Soonawala; Fred P H T M Romijn; Maryam R Shirzada; Jaap T van Dissel; Christa M Cobbaert; Johan W de Fijter
Journal:  Sci Rep       Date:  2021-01-13       Impact factor: 4.379

  2 in total

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