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Hypofibrinogenemia can be estimated by the predictive formula in aortic surgery

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General Thoracic and Cardiovascular Surgery Aims and scope Submit manuscript

Abstract

Objective

Aortic surgery often causes massive bleeding due to hypofibrinogenemia. Predicting hypofibrinogenemia is useful for developing a hemostasis strategy, including preparing for blood transfusion. We made a formula for predicting the serum fibrinogen level (SFL) at the termination of cardiopulmonary bypass (CPB) in aortic surgery and examined its validity.

Methods

We performed a retrospective observational study that consisted of 267 patients (group A) who underwent aortic surgery from July 2013 to December 2016 and made a formula for predicting the SFL at the termination of CPB in group A by a multiple linear regression analysis. The validity of this formula was then examined in another 60 patients (group B) who underwent aortic surgery from January 2017 to December 2017.

Results

We developed the following predictive formula: SFL at the termination of CPB (mg/dL) = 14.7 + 0.44 × preoperative SFL (mg/dL) + (− 0.14) × CPB time (min) + 0.64 × preoperative body weight (kg) + (− 17.3) × lateral thoracotomy (Yes/No, Yes: 1, No: 0). In group B, the predictive formula proved to be statistically valid in group B (R2 = 0.531, p < 0.001).

Conclusion

The SFL at the termination of CPB in aortic surgery can be predicted by the preoperative SFL, body weight, CPB time and surgical approach. The predictive formula is useful for developing a hemostasis strategy, including preparing for blood transfusion.

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References

  1. Araki Y, Usui A, Ohshima H, Abe T, Fujimoto K, Mutsuga M, et al. Impact of the intraoperative use of fibrinogen concentrate for hypofibrinogenemia during thoracic aortic surgery. Nagoya J Med Sci. 2015;77:265–73.

    CAS  PubMed  PubMed Central  Google Scholar 

  2. Nishi T, Mutsuga M, Akita T, Narita Y, Fujimoto K, Tokuda Y, et al. The incidence and risk factors of hypofibrinogenemia in cardiovascular surgery. Gen Thorac Cardiovasc Surg. 2020;68:335–41.

    Article  Google Scholar 

  3. Tobetto Y, Kato M, Iseki A, Go R. Prediction of plasma fibrinogen concentration just before weaning from cardiopulmonary bypass with hypothermic circulatory arrest in patients undergoing thoracic aortic surgery. J Jpn Soc Clin Anesthesia. 2012;32:913–8.

    Article  Google Scholar 

  4. Westbrook AJ, Olsen J, Bailey M, Bates J, Scully M, Salamonsen RF, et al. Protocol based on thromboelastograph (TEG) out-performs physician preference using laboratory coagulation tests to guide blood replacement during and after cardiac surgery: a pilot study. Heart Lung Circ. 2009;18:277–88.

    Article  Google Scholar 

  5. Girdauskas E, Kempfert J, Kuntze T, Borger MA, Enders J, Fassl J, et al. Thromboelastometrically guided transfusion protocol during aortic surgery with circulatory arrest: a prospective, randomized trial. J Thorac Cardiovasc Surg. 2010;140(1117–24):e2.

    Google Scholar 

  6. Weber CF, Gorlinger K, Meininger D, Herrmann E, Bingold T, Moritz A, et al. Point-of-care testing: a prospective, randomized clinical trial of efficacy in coagulopathic cardiac surgery patients. Anesthesiology. 2012;117:531–47.

    Article  Google Scholar 

  7. Nakayama Y, Nakajima Y, Tanaka KA, Sessler DI, Maeda S, Iida J et al. Thromboelastometry-guided intraoperative haemostatic management reduces bleeding and red cell transfusion after paediatric cardiac surgery. Br J Anaesthesia 2015:91–102.

  8. Karkouti K, McCluskey SA, Callum J, Freedman J, Selby R, Timoumi T, et al. Evaluation of a novel transfusion algorithm employing point-of-care coagulation assays in cardiac surgery: a retrospective cohort study with interrupted time-series analysis. Anesthesiology. 2015;122:560–70.

    Article  CAS  Google Scholar 

  9. Kawashima S, Suzuki Y, Sato T, Kikura M, Katoh T, Sato S. Four-group classification based on fibrinogen level and fibrin polymerization associated with postoperative bleeding in cardiac surgery. Clin Appl Thromb Hemost. 2016;22:648–55.

    Article  CAS  Google Scholar 

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Acknowledgements

Advice and comments given by Dr. Nishida and Dr. Matsui has been a great help in data analysis.

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Correspondence to Toshihiko Nishi.

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11748_2021_1594_MOESM1_ESM.pdf

Supplemental Figure 1. An ROC analysis to identify the optimal cut-off value of the predicted SFL at the termination of CPB for hypofibrinogenemia (SFL at the termination of CPB ≤ 150 mg/dL) was performed. The optimal cut-off value was identified using the Youden index. The optimal cut-off value of the predicted SFL at the termination of CPB was 128 mg/dL in order to predict hypofibrinogenemia, with a sensitivity of 57.1%, specificity of 92.0% and ROC area of 0.815 (95% CI, 0.71-0.921). ROC receiver operating characteristic, SFL serum fibrinogen level, CPB cardiopulmonary bypass, CI confidence interval (PDF 61 KB)

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Nishi, T., Mutsuga, M., Akita, T. et al. Hypofibrinogenemia can be estimated by the predictive formula in aortic surgery. Gen Thorac Cardiovasc Surg 69, 1376–1382 (2021). https://doi.org/10.1007/s11748-021-01594-5

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  • DOI: https://doi.org/10.1007/s11748-021-01594-5

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