Key result
Five-variable risk score identifies elderly OSA patients with ~5% higher absolute ischemic stroke risk.
Why the study?
To analyze independent risk factors of long-term ischemic stroke and establish a predictive nomogram for elderly patients with obstructive sleep apnea.
Cohort (n=1,141)
Yes
A nomogram and risk score model can help identify elderly patients with obstructive sleep apnea who are at high risk for long-term ischemic stroke.
Answers are grounded in this paper and cite their sources.
Supports stroke risk stratification in elderly OSA patients; hypothesis-generating pending prospective validation.
OBJECTIVE: To analyze the independent risk factors of long-term ischemic stroke and establish a nomogram for predicting the long-term risks in elderly patients with obstructive sleep apnea (OSA). METHODS: =258) at a 3∶1 ratio. LASSO regression was used for variable reduction and dimension screening, and the risk score prediction model of ischemic stroke was established based on Cox proportional hazard regression. CONCLUSION: This model can help to identify high-risk OSA patients for early interventions of the risks of ischemic stroke associated with OSA.
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Su et al. (2022) conducted a cohort in Obstructive sleep apnea (OSA) (n=1,141). High risk score (≥9 points) vs. Low risk score (<9 points) was evaluated on Ischemic stroke (p=0.021). A risk score model based on five clinical variables effectively stratified ischemic stroke risk in elderly patients with obstructive sleep apnea, with high-risk patients showing a higher cumulative incidence than low-risk patients.
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