Rotational Thromboelastometry Values After On-Pump Cardiac Surgery - A Retrospective Cohort Study

SEMINARS IN CARDIOTHORACIC AND VASCULAR ANESTHESIA(2022)

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摘要
Background. Viscoelastic coagulation monitoring is recommended for coagulation management after cardiac surgery, but optimum target values are poorly defined. Aims. To determine "to-be-expected" values in rotational thromboelastometry (ROTEM) after heparin reversal, to correlate ROTEM parameters with fibrinogen levels and platelet count, and to estimate the effect of hemoglobin levels on these measurements. Methods. We retrospectively analyzed 571 consecutive adult patients undergoing cardiac surgery with cardiopulmonary bypass from 12/2018 to 08/2020. ROTEM and conventional laboratory measurements were performed 5 to 10 minutes after protamine administration. Results. Clotting times in EXTEM, INTEM, and FIBTEM were significantly prolonged (72.6%, 96.1 %, and 31.8% above reference ranges, respectively). Clot firmness parameters in EXTEM and INTEM were relevantly reduced (7.9% to 14.4% and 9.1 % to 32.3% below the reference ranges, respectively). There was an excellent linear correlation of FIBTEM amplitude after 10 min (A10) and of maximal clot firmness (MCF) with fibrinogen concentrations (r = .81 and .80). Areas under receiver operating characteristic (AUROC) for identifying hypofibrinogenemia <1.5 g/L were between .80 and .87. No effect of hematocrit was observed. We also found a linear correlation of EXTEM, INTEM, and EXTEM-FIBTEM at both A10 and MCF with platelet counts (.32 to .68). The AUROCs for identifying thrombocytopenia (<100,000/mu L) were .79 to .84, and were greater for A10 than for MCF measurements (P=.074, .001, and <.001, respectively). Conclusions. "Tobe-expected" ROTEM values after CPB are different from the published reference ranges. ROTEM parameters might allow for reliable estimation of fibrinogen level and platelet count without being influenced by hematocrit.
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关键词
coagulation,coagulopathy,cardiac surgery,cardiopulmonary bypass,point-of-care monitoring
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