Bleeding Risk of Anticoagulation Reversal Strategies Before Heart Transplantation: A Retrospective Comparative Cohort Study
Abstract
:1. Introduction
2. Materials and Methods
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- This was a retrospective cohort study conducted at a tertiary Spanish hospital.
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- Primary objective: to compare the effectiveness and safety of using idarucizumab (Praxbind® 2g/50 mL, Boehringer Ingelheim International), for the reversal of DBG with that of reversing VKAs before HT surgery, based on the need of transfusion of blood derivatives, re-surgery after HT due to bleeding, length of ICU stay, or 30-day survival.
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- Secondary objective: to conduct a cost analysis of both anticoagulant reversal strategies focusing on the direct expenses associated with the use of anticoagulation reversal drugs, blood product transfusions, and the length of ICU stay.
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- Inclusion criteria: Patients over 18 years who received HT in our center from January 2018 to December 2022. These patients were classified according to whether they were taking DBG or VKAs, or were not anticoagulated (NA) at the time of their HT. The NA group was analyzed to understand the baseline transfusion requirements of non-anticoagulated patients.
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- Exclusion criteria: patients who were given extracorporeal membrane oxygenation (ECMO) before the HT or during the immediate postoperative period, defined as the first 48 h post-surgery, due to a higher coagulopathy risk.
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- The study was approved by the Institutional Review Board with a waiver of informed consent (IRB, TC-ACO-2024).
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- To reverse DBG, idarucizumab was administered as two 2.5 g boluses within 15 min of each other, regardless of the aPTT value, DBG dose, timing of the last DBG administration, or the baseline estimated glomerular filtration rate (eGFR). VKA reversal was achieved by administering 10 mg of vitamin K along with 4F-PCC dosed as 500 IU for an international normalized ratio (INR) range of 1.5–2, 1000 IU for an INR of 2–2.5, and 1500 IU for an INR of 2.5–3, while weight-based dosing was used if the INR was above 3, according to the manufacturer’s instructions.
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- Our local transfusion protocol indicates using a restrictive packed red blood cell (PRBC) transfusion strategy, targeting Hb levels within the range of 7–8 g/dL. For pool of platelets (POP) and fresh frozen plasma (FFP), we adhered to the rotational thromboelastometry (ROTEM) A5 algorithm for cardiovascular surgery, as outlined by Görlinger et al. [5] and the 2019 Society of Cardiovascular Anesthesiologists ROTEM, and a thromboelastography (TEG)-based cardiac surgery intraoperative transfusion algorithm [6].
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- Population variables: Data were collected from the Hospital’s electronic medical records and prescribing system. Variables included the age at the time of HT, sex, etiology of heart disease, anticoagulant indication and regimen, CHA2DS2-VASc scores, reversal agents and their doses, and pre-surgery biochemical data, including renal function assessed by the Modification of Diet in Renal Disease eGFR formula. Information on hemostasis was also collected, including the preoperative and postoperative INR and activated partial thromboplastin time (aPTT), to evaluate the effects of VKA and DBG reversal, respectively. To evaluate basal bleeding risk, we analyzed the history of previous sternotomies—a recognized risk factor for increased surgical bleeding in heart surgery—concomitant antiplatelet use, CPB (cardiopulmonary bypass) time, the occurrence of simultaneous organ transplant procedures, and the HAS-BLED score, which assesses the risk of bleeding in patients on anticoagulation therapy based on factors such as hypertension, abnormal renal or liver function, stroke history, prior bleeding, labile INR, age, and drug/alcohol use. Finally, we recorded whether the HT occurred during the course of an index admission, identifying patients who were likely more unstable and thus may be at a higher risk of bleeding complications.
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- Clinical outcome variables: Blood products were used as surrogate measures for bleeding in the immediate postoperative period (up to 48 h post-surgery), so data were collected on the use of PRBCs, FFP, and POP. Additionally, the necessity for re-surgery due to bleeding complications, length of ICU stay, and 30-day survival post-HT were evaluated. Our evaluation prioritized the length of ICU stay over total admission duration to more precisely assess bleeding during and after surgery. Patients who died during surgery due to massive bleeding were counted as transfused to accurately capture significant bleeding events as a clinical outcome. However, these patients were then excluded from the remaining postoperative outcome analyses (e.g., total blood products transfused, length of ICU stay, and re-surgery due to bleeding) to avoid distorting the results.
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- Cost analysis variables: We compared the costs incurred by the DBG and VKA cohorts, collecting direct medical costs from the reversal agents, the transfusion of blood products, and ICU stay length. Cost data, collected at the time of manuscript preparation, were based on the maximum ex-factory prices, inclusive of VAT. The average daily cost of an ICU stay was sourced from the accounting department of our hospital, while the cost of blood products was derived from our hematology catalog. These cost details are outlined in Table 1. A sensitivity analysis was conducted to evaluate the impact of ICU stay costs, exploring the best- and worst-case scenarios by analyzing the extreme variations in ICU costs, using the lower and upper bounds of the confidence intervals.
3. Results
3.1. Patient Characteristics
3.2. Clinical Outcomes
3.3. Cost Analysis
4. Discussion
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Item | Cost (EUR) |
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Reversal agents | |
Phytonadione (Vitamin K) 10 mg/1 mL | 9.37 |
4F-PCC (Octaplex®) 500 UI | 210 |
4F-PCC (Octaplex®) 1.000 UI | 420 |
Idarucizumab 2.5 g | 3178 |
Blood products | |
PRBC | 145 |
FFP | 60 |
POP | 400 |
Hospital admission cost | |
Daily Average ICU Stay a | 1681.11 |
DBG Cohort (n = 20) | VKA Cohort (n = 14) | NA (n = 14) | |
---|---|---|---|
Basal Characteristics | |||
Age, median years (IQI) | 54.7 (41.5–63.0) | 53.2 (40.6–60.6) | 51.7 (35–58.7) |
Gender, % males | 70 | 43 | 71.4 |
Underlying heart disease, % | |||
| 3 (15) 5 (30) 8 (40) 1 (5) 1 (5) 1 (5) 1 (5) | 4 (28.6) 4 (28.6) 1 (7.1) 0 (0) 1 (7.1) 2 (14.3) 2 (14.3) | 3 (21.4) 2 (14.3) 1 (7.1) 2 (14.3) 1 (7.1) 1 (7.1) 4 (28.6) |
eGFR, median mL/min/1.73 m2, (IQI) | >60 | 53 | >60 |
(55–>60) | (37–59) | (48–>60) | |
Bleeding Risk Characteristics | |||
HAS-BLED score, median (IQI) | 0 (0) | 0 (0–1) | N/A |
Only or combined HT, n (%) | |||
Heart only Cardiorenal Cardiohepatic | 20 (100) 0 (0) 0 (0) | 12 (85.7) 1 (7.1) 1 (7.1) | 13 (92.9) 0 (0) 1 (7.1) |
Previous sternotomy n (%) | 3 (15.8) | 3 (21.4) | 6 (42.9) |
Anti-aggregation n (%) | 0 (0) | 2 (14.3) | 6 (46.2) |
HT during index admission, n (%) | 1 (5) | 0 (0) | 6 (42.9) |
CPB time, median minutes (IQI) | 135 (124–150) | 185 (133–208) | 157 (145–171) |
Anticoagulant, Coagulation, and Reversal Characteristics | |||
Anticoagulant indication | |||
Non-valvular AF, atrial flutter, n (%) Mechanical mitral valve, n (%) | 20 (100) 0 | 12 (85.7) 2 (14.3) | N/A N/A |
CHA2DS2-VASc score, median (IQI) | 2 (1–3) | 2 (2–3) | N/A |
DBG dose | |||
150 mg twice daily, n (%) 110 mg twice daily, n (%) | 15 (75) 5 (25) | N/A N/A | N/A N/A |
Preoperative aPTT, median seconds (IQI) | 47.4 (40.7–51.4) | 39.95 (38.9–44.1) | 31.5 (28.5–43.3) |
Postoperative aPTT, median seconds (IQI) | 28.2 (25.4–32) | 31.7 (29.2–35.5) | 32.4 (28.4–34.0) |
VKA drug | |||
Acenocoumarol Warfarin | N/A N/A | 13 (92.9) 1 (7.1) | N/A N/A |
INR target | N/A | N/A | |
2 to 3, n (%) 2.5 to 3.5, n (%) | 12 (85.7) 2 (14.3) | ||
Preoperative INR, median (IQI) | 1.18 (1.10–1.29) | 2.13 (1.77–2.71) | 1.16 (1.06–1.32) |
Postoperative INR, median (IQI) | 1.32 (1.2–1.47) | 1.87 (1.74–2.19) | 1.40 a (1.29–1.55) |
Reversal agent dose | |||
Idarucizumab, g | 2 × 2.5 | N/A | N/A |
Vitamin K, mg | N/A | 10 | N/A |
4F-PCC, mean IU (95% CI) | N/A | 1071 (635–1507) | N/A |
Preoperative Hb, median g/gL (IQI) | 14.8 (12.9–16.1) | 14.5 (13.3–15.6) | 13.2 (9.9–16.9) |
Postoperative Hb, median g/gL (IQI) | 10.2 (9.8–11.7) | 9.9 (8.6–11) | 9.8 a (9.2–10.8) |
DBG Cohort (n = 19) | VKA Cohort (n = 14) | NA Cohort (n = 14 b) | Kruskal–Wallis Chi-Square and p-Value | Dunn Post Hoc Comparisons with Holm–Bonferroni-Adjusted p-Value | |
---|---|---|---|---|---|
Total Number of Perioperative Blood Products, Median Units (IQI) a | 1 (0–4) | 13.5 (4–19) | 7 (2–15) | χ = 14.78 p < 0.001 | DBG vs. VKA: p < 0.001 DBG vs. NA: p = 0.008 VKA vs. NA: p = 0.194 |
Perioperative PRBC Transfusions, Median Units (IQI) a | 0 (0–2) | 5 (1–10) | 4 (1–5) | χ = 17.61 p < 0.001 | DBG vs. VKA: p = 0.001 DBG vs. NA: p = 0.073 VKA vs. NA: p = 0.088 |
Perioperative FFP Transfusions, Median Units (IQI) a | 0 (0–0.5) | 4.5 (0–10) | 2 (0–4) | χ = 11.38 p = 0.003 | DBG vs. VKA: p = 0.001 DBG vs. NA: p = 0.073 VKA vs. NA: p = 0.088 |
Perioperative POP Transfusions, Median Units (IQI) a | 0 (0–1) | 2.5 (0–4) | 1 (1–2) | χ = 9.94 p = 0.007 | DBG vs. VKA: p = 0.009 DBG vs. NA: p = 0.013 VKA vs. NA: p = 0.423 |
ICU Stay, Days (IQI) | 6 (4–7) | 7.5 (7–9) | 8 (7–17) | χ = 9.80 p = 0.008 | DBG vs. VKA: p = 0.014 DBG vs. NA: p = 0.009 VKA vs. NA: p = 0.376 |
HAS-BLED Score, Median (IQI) | 0 (0) | 0 (0–1) | 1.5 (0.5–2.5) | χ = 8.15 p = 0.017 | DBG vs. VKA: p = 0.230 DBG vs. NA: p = 0.007 VKA vs. NA: p = 0.062 |
CPB Time, Median Minutes (IQI) | 135 (124–150) | 185 (133–208) | 157 (145–171) | χ = 5.04 p = 0.080 | N/A |
Pearson’s Chi-Square and p-Value | Pearson’s Chi-Square Post Hoc Comparisons with Holm–Bonferroni-Adjusted p-value | ||||
Number of Patients Requiring Any Transfusion, n (%) | 11 (55) | 13 (92.9) | 14 (100) | χ = 11.90 p = 0.003 | DBG vs. VKA: p = 0.034 DBG vs. NA: p = 0.005 VKA vs. NA: p = 0.978 |
Re-Surgery due to Bleeding, n (%) a | 1 (5) | 3 (21.4) | 1 (12.5) | χ = 2.70 p = 0.259 | N/A |
30-Day Survival Rate, n (%) | 18 (94.7) | 13 (92.9) | 13 (92.9) | χ = 0.09 p = 0.955 | N/A |
DBG Cohort (n = 20) | VKA Cohort (n = 14) | p-Value | |
---|---|---|---|
Reversal Cost per Patient, Median EUR (IQI) | 6356 (6356) | 429 (219–1059) | N/A |
Transfusion Cost per Patient, Median EUR (IQI) | 400 (0–690) | 2085 (435–3795) | 0.001 |
ICU Cost per Patient, Median EUR (IQI) | 10,087 (6724–11,768) | 12,608 (11,768–15,130) | 0.02 |
Global Cost, Median EUR (IQI) | 16,988 (13,745–19,574) | 15,520 (13,357–19,144) | 0.4 |
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Prieto-Romero, A.; Ibañez-García, S.; García-González, X.; Castrodeza, J.; Torroba-Sanz, B.; Ortiz-Bautista, C.; Pascual-Izquierdo, C.; Barrio-Gutiérrez, J.M.; González-Pinto, Á.; Herranz-Alonso, A.; et al. Bleeding Risk of Anticoagulation Reversal Strategies Before Heart Transplantation: A Retrospective Comparative Cohort Study. J. Cardiovasc. Dev. Dis. 2024, 11, 366. https://doi.org/10.3390/jcdd11110366
Prieto-Romero A, Ibañez-García S, García-González X, Castrodeza J, Torroba-Sanz B, Ortiz-Bautista C, Pascual-Izquierdo C, Barrio-Gutiérrez JM, González-Pinto Á, Herranz-Alonso A, et al. Bleeding Risk of Anticoagulation Reversal Strategies Before Heart Transplantation: A Retrospective Comparative Cohort Study. Journal of Cardiovascular Development and Disease. 2024; 11(11):366. https://doi.org/10.3390/jcdd11110366
Chicago/Turabian StylePrieto-Romero, Antonio, Sara Ibañez-García, Xandra García-González, Javier Castrodeza, Beatriz Torroba-Sanz, Carlos Ortiz-Bautista, Cristina Pascual-Izquierdo, José María Barrio-Gutiérrez, Ángel González-Pinto, Ana Herranz-Alonso, and et al. 2024. "Bleeding Risk of Anticoagulation Reversal Strategies Before Heart Transplantation: A Retrospective Comparative Cohort Study" Journal of Cardiovascular Development and Disease 11, no. 11: 366. https://doi.org/10.3390/jcdd11110366
APA StylePrieto-Romero, A., Ibañez-García, S., García-González, X., Castrodeza, J., Torroba-Sanz, B., Ortiz-Bautista, C., Pascual-Izquierdo, C., Barrio-Gutiérrez, J. M., González-Pinto, Á., Herranz-Alonso, A., & Sanjurjo-Sáez, M. (2024). Bleeding Risk of Anticoagulation Reversal Strategies Before Heart Transplantation: A Retrospective Comparative Cohort Study. Journal of Cardiovascular Development and Disease, 11(11), 366. https://doi.org/10.3390/jcdd11110366