Li A, Roveda JM, Powers LS, et al. - The results indicated that a random forest model can quickly assess the risk of 10-year cardiovascular disease (CVD) mortality. For patients with obstructive sleep apnea (OSA), this model may be more informative in ascertaining their future CVD mortality risk.

• Researchers recruited a total of 2,464 patients with OSA and were selected from the Sleep Heart Health Study.

• They assessed the model performance on a test set (n=493) using the area under the receiver operating curve (AUC) with a 95% confidence interval (CI) and confusion matrix. It has been reported that a random forest model awarded the highest AUC of 0.84 (95% CI: 0.78-0.89).

• According to the findings, 73.94% and 81.82%, were reported as specificity and sensitivity.

• The study found that 63 years old was a threshold for elevated risk of 10-year CVD mortality.

• Compared to persons with mild OSA, Persons with severe OSA had a higher risk.