Can machine learning provide preoperative predictions of biological hemostasis after extracorporeal circulation for cardiac surgery?

OBJECTIVES: The goal of this study was to improve decision making regarding the transfusion of patients at the end of extracorporeal circulation for cardiac surgery through machine learning predictions of the evolution of platelets counts, prothrombin ratio, and fibrinogen assay. METHODS: Prospective data with information about patient preoperative biology and surgery characteristics were collected at Institut Mutualiste Montsouris Hospital (Paris, France) for 10 months (n = 598). For each outcome of interest, instead of arbitrarily choosing 1 machine learning algorithm, we trained and tested a variety of algorithms together with the super learning algorithm, a state-of-the-art ensemble method that aggregates all the predictions and selects the best performing algorithm (total, 137 algorithms). We considered the top-performing algorithms and compared them to more standard and interpretable multivariable linear regression models. All algorithms were evaluated through their root mean squared error, a measure of the average difference between true and predicted values. RESULTS: The root mean squared error of the top algorithms for predicting the difference between pre- and postoperative platelet counts, prothrombin ratio, and fibrinogen assay were 38.27 × 10e9/L, 8.66%, and 0.44 g/L, respectively. The linear models had similar performances. CONCLUSIONS: Our machine learning algorithms accurately predicted prothrombin ratio and fibrinogen assay and less accurately platelet counts. As such, our models could provide an aid-decision tool for anesthetists in an operating room; future clinical trials addressing this hypothesis are warranted.

Adrenal trauma: medical and surgical emergency.

A 35-year-old man was admitted to hospital in a state of haemorrhagic shock after a road traffic accident. A right adrenal gland injury associated with a retroperitoneal haematoma was diagnosed by CT scan. Haemostatic surgery (without adrenal gland resection) was performed instead of angioembolisation because of an associated abdominal compartment syndrome. The outcome was favourable. The objective of this case report is to illustrate the importance of the early diagnosis of adrenal gland injuries after trauma which, though uncommon and frequently overlooked or discovered fortuitously by CT scan, can be life-threatening. Angioembolisation or surgery may be necessary in cases of uncontrolled bleeding or the development of abdominal compartmental syndrome.