https://www.selleckchem.com/pr....oducts/cobimetinib-g
RESULTS Predictors of this model included sex, body mass index, coronary heart disease, arrhythmia, tumor size, intraoperative hemodynamic instability, and surgical duration. For the validation cohort, the model showed good discrimination with an AUROC of 0.818 (95% CI, 0.745, 0.891) and good calibration (Unreliability test, p=0.44. Decision curve analysis demonstrated that the model was also clinically useful. CONCLUSIONS A nomogram was developed to facilitate the individualized prediction of severe morbidity afte
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