Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 8 de 8
Filter
Add more filters










Database
Language
Publication year range
1.
J Cardiothorac Vasc Anesth ; 38(5): 1135-1143, 2024 May.
Article in English | MEDLINE | ID: mdl-38413344

ABSTRACT

OBJECTIVE: To demonstrate the value of a viscoelastic-based intraoperative transfusion algorithm to reduce non-RBC product administration in adult cardiac surgical patients. DESIGN: A prospective observational study. SETTING: At a quaternary academic teaching hospital. PARTICIPANTS: Cardiac surgical patients. INTERVENTIONS: Viscoelastic-based intraoperative transfusion algorithm. MEASUREMENTS AND MAIN RESULTS: The study authors compared intraoperative blood product transfusion rates in 184 cardiac surgical patients to 236 historic controls after implementing a viscoelastic-based algorithm. The authors found a non-significant reduction in transfusion of 23.8% for fresh frozen plasma (FFP) units (0.84 ± 1.4 v 0.64 ± 1.38; p = ns), 33.4% for platelet units (0.90 ± 1.39 v 0.60 ± 131; p = ns), and 15.8% for cryoprecipitate units (0.19 ± 0.54 v 0.16 ± 0.50; p = ns). They found a 43.9% reduction in red blood cell (RBC) units transfused (1.98 ± 2.24 v 0.55 ± 1.36; p = 0.008). There were no statistically significant differences in time to extubation (8.0 hours (4.0-21.0) v 8.0 (4.0-22.3), reoperation for bleeding (15 [12.3%] v 10 [10.6%]), intensive care unit length of stay (ICU LOS) (51.0 hours [28.0-100.5] v 53.5 [33.3-99.0]) or hospital LOS (9.0 days [6.0-15.0] v 10.0 [7.0-17.0]). Deviation from algorithm adherence was 32.7% (48/147). Packed RBC, FFP, platelets, cryoprecipitate, and cell saver were significantly reduced in the Algorithm Compliant Cohort compared with historic controls, whereas times to extubation, ICU LOS, and hospital LOS did not reach significance. CONCLUSIONS: After the implementation of a viscoelastic-based algorithm, patients received fewer packed RBC, FFP, platelets, cryoprecipitate, and cell saver. Algorithm-compliant patients received fewer transfusions; however, reductions in times to extubation, ICU LOS, and hospital LOS were not statistically significant compared with historic controls.


Subject(s)
Blood Transfusion , Cardiac Surgical Procedures , Adult , Humans , Coronary Artery Bypass , Hemorrhage , Algorithms , Retrospective Studies
2.
Curr Opin Anaesthesiol ; 36(1): 89-95, 2023 Feb 01.
Article in English | MEDLINE | ID: mdl-36550609

ABSTRACT

PURPOSE OF REVIEW: The purpose of this review is to evaluate the current recommendations for management of perioperative anaemia in patients undergoing thoracic surgery, present the impact of anaemia on outcomes in this patient population and suggest an algorithm for evaluating and treating anaemia preoperatively. RECENT FINDINGS: Anaemia is a common medical issue noted preoperatively in patients presenting for thoracic surgery and carries significant morbidity. Preoperative anaemia increases the likelihood of receiving a perioperative transfusion, which represents a significant risk factor for morbidity and reduced disease-free survival in lung cancer patients presenting for thoracic surgery. It is also associated with longer hospital lengths of stay and increased risk for reoperation following lung transplantation. An algorithm-based approach to management of anaemia is beneficial and treatment with iron has been shown to reduce transfusions. SUMMARY: Patients undergoing thoracic surgery have a high incidence of preoperative anaemia that increases the risk of transfusion and postoperative morbidity. Preoperative evaluation and tailored treatment based on the underlying cause of anaemia reduces the incidence of anaemia prior to surgery and decreases transfusion rates.


Subject(s)
Anemia , Thoracic Surgery , Humans , Anemia/diagnosis , Anemia/etiology , Anemia/therapy , Iron , Blood Transfusion , Preoperative Care
3.
J Cardiothorac Vasc Anesth ; 36(8 Pt B): 3038-3046, 2022 08.
Article in English | MEDLINE | ID: mdl-35545456

ABSTRACT

OBJECTIVES: Does point-of-care viscoelastic testing in patients undergoing left ventricular assist device implantation or orthotopic heart transplantation reduce non-red blood cell transfusion or improve postoperative outcomes? DESIGN: A retrospective observational study. SETTING: At a single-center tertiary university hospital. PARTICIPANTS: Patients undergoing left ventricular assist device placement or heart transplantation INTERVENTIONS: The authors implemented a TEG-based transfusion algorithm to reduce non-red cell transfusion rates compared with historical controls. MEASUREMENTS AND MAIN RESULTS: From May 15, 2019, through March 20, 2020, 68 patients underwent left ventricular assist device placement or heart transplantation. Algorithm adherence was 49.2%. After adjusting for relevant variables, platelet (odds ratio [OR] 0.58 [0.39-0.84]; p = 0.004) and cryoprecipitate (OR 0.37 [0.19-0.72]; p = 0.004) transfusion rates and time to extubation (OR -14.1 [-25.8 to -2.3]; p = 0.020) were significantly reduced compared with historical controls. After adjusting for relevant clinical variables, there was a statistically significant reduction in plasma (median [interquartile range] 0.16 [0.07-0.36], p < 0.001), platelets (0.06 [0.02-0.21], p < 0.001), and cryoprecipitate (0.06 [0.01-0.47], p = 0.007) transfusion rates and time to extubation (-16.95 [-27.20 to -6.71], p = 0.002) compared with historical controls. CONCLUSIONS: The authors report a statistically significant reduction in transfusion of platelets and cryoprecipitate and time to extubation after adjusting for relevant clinical variables compared with historical controls and a significant reduction in the transfusion of plasma, platelets, and cryoprecipitate and time to extubation in those patients for whom the transfusion algorithm was followed. Their results suggest the importance of implementing transfusion algorithms for patients undergoing heart transplantation and left ventricular assist device placement and of accounting for adherence.


Subject(s)
Heart Transplantation , Heart-Assist Devices , Algorithms , Blood Transfusion , Humans , Retrospective Studies
SELECTION OF CITATIONS
SEARCH DETAIL
...