Impact of adrenomedullin levels on clinical risk stratification and outcome in subarachnoid haemorrhage.

Maria Pilar Gracia ArnillasFrancisco Alvarez-LermaJose-Ramón MasclansJaume RoquerCarolina SorianoDemian ManzanoAns ZapateroYolanda DiazXavi DuranAndrea CastellvíElisa CuadradoAngel Ois

Published in: European journal of clinical investigation (2020)

The study established a model (APACHE II, MR-proADM and Hunt&Hess) to predict fatal outcomes in patients with SAH. The proposed decision-making algorithm may help identify patients with a high risk of mortality.

Keyphrases

decision making
machine learning
magnetic resonance
cardiovascular events
deep learning
magnetic resonance imaging
type diabetes
cardiovascular disease
metabolic syndrome
contrast enhanced
skeletal muscle
adipose tissue
weight loss
glycemic control
neural network