Cardiovascular

Preoperative levels of biomarkers of coagulation to predict massive bleeding after surgical repair for acute type A aortic dissection: a retrospective cohort study.

TL;DR

Preoperative APTT exceeding 34.5 s was independently associated with massive bleeding after type A aortic dissection repair and may, pending prospective validation, help identify patients who could potentially benefit from earlier hemostatic intervention.

Key Findings

Massive postoperative bleeding occurred in 18% of patients undergoing surgical repair for acute type A aortic dissection.

  • 87 out of 474 total patients experienced massive postoperative bleeding.
  • The study was a retrospective, single-center cohort study at a tertiary cardiac surgery unit.
  • Patients were enrolled between January 2005 and May 2023.
  • 87 patients with massive bleeding were compared to 387 patients without massive bleeding.

Patients with massive bleeding had significantly higher preoperative APTT compared to those without massive bleeding.

  • Mean preoperative APTT was 33 s in the massive bleeding group vs. 29 s in the non-bleeding group (p<0.01).
  • Multivariable logistic regression identified preoperative APTT per mmol increment as an independent predictor of massive bleeding (OR 1.04, 95% CI 1.01–1.07, p=0.01).
  • Preoperative APTT >34.5 s was independently associated with massive bleeding (OR 2.95, 95% CI 1.60–5.47, p<0.01).
  • APTT was identified as an independent predictor after adjustment for other covariates in the multivariable model.

Preoperative creatinine levels were independently associated with massive postoperative bleeding.

  • Mean preoperative creatinine was 97 µmol/L in the massive bleeding group vs. 87 µmol/L in the non-bleeding group (p<0.01).
  • Preoperative creatinine >82.5 µmol/L was an independent predictor of massive bleeding (OR 2.16, 95% CI 1.15–4.06, p=0.02).
  • Creatinine was included as a forced variable in the multivariable logistic regression model.

Patients with massive bleeding had lower preoperative platelet counts than those without massive bleeding.

  • Mean platelet count was 172 × 10⁹/L in the massive bleeding group vs. 187 × 10⁹/L in the non-bleeding group (p=0.03).
  • Platelet count was identified in univariable analysis but was not reported as an independent predictor in the final multivariable model.

Longer cardiopulmonary bypass (CPB) time was an independent predictor of massive postoperative bleeding.

  • Mean CPB duration was 221 min in the massive bleeding group vs. 170 min in the non-bleeding group (p<0.01).
  • CPB time per 10-minute increment had an OR of 1.09 (95% CI 1.05–1.13, p<0.01) for massive bleeding.
  • CPB time was identified as an independent predictor in the multivariable logistic regression model.

Hypertension was identified as an independent predictor of massive postoperative bleeding.

  • Hypertension was associated with an OR of 1.83 (95% CI 1.01–3.32, p<0.05) for massive bleeding in the multivariable model.
  • Hypertension was included among the predictors in the multivariable logistic regression analysis.

Patients with massive bleeding suffered more postoperative complications than those without massive bleeding.

  • The abstract states patients with massive bleeding 'suffered more postoperative complications' compared to those without.
  • Specific complications were not enumerated in the abstract but were analyzed in the study.

Routine coagulation biomarkers PT (INR), fibrinogen, and D-dimer were not identified as independent predictors of massive bleeding in the multivariable model.

  • The study investigated APTT, PT (INR), fibrinogen, D-dimer, and platelets as candidate predictors.
  • Bleeding-related routine lab variables were forced into the multivariable model.
  • Only APTT (and platelets in univariable analysis) among the coagulation tests were highlighted as significant; PT (INR), fibrinogen, and D-dimer were not reported as independent predictors.

What This Means

This research suggests that a common blood test called APTT (activated partial thromboplastin time), which measures how well blood clots, can help predict which patients undergoing emergency surgery for a dangerous condition called acute type A aortic dissection are at higher risk of severe bleeding afterward. In this study of 474 patients, about 18% experienced massive postoperative bleeding. Those who bled heavily tended to have higher APTT values and higher creatinine (a marker of kidney function) before surgery, as well as lower platelet counts. Patients with an APTT above 34.5 seconds were nearly three times more likely to experience massive bleeding compared to those with lower values. The study also found that longer time on the heart-lung bypass machine during surgery and having a history of high blood pressure (hypertension) were additional independent risk factors for massive postoperative bleeding. Notably, other commonly used clotting tests — such as PT (INR), fibrinogen, and D-dimer — were not identified as independent predictors of massive bleeding in this analysis, suggesting APTT may be especially informative among routine preoperative lab tests. This research suggests that measuring APTT before surgery could help surgeons and anesthesiologists identify patients who might benefit from earlier or more aggressive blood-clotting treatments to prevent life-threatening hemorrhage. However, the authors caution that these findings need to be confirmed in future prospective studies before being used to change clinical practice.

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Citation

Nor&#xe9;n E, Ede J, Larsson M, Nozohoor S, Sj&#xf6;gren J, Teurneau-Hermansson K. (2026). Preoperative levels of biomarkers of coagulation to predict massive bleeding after surgical repair for acute type A aortic dissection: a retrospective cohort study.. Journal of cardiothoracic surgery. https://doi.org/10.1186/s13019-026-04692-8