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| Logistic Regression Equation Analysis of the Incidence of OSAHS and Influencing Factors in Patients with Acute Cerebral Infarction Evaluated by Polysomnography Monitor |
| SHI Jinsong, LIU Fang, CHEN Qianmei |
| The First Affiliated Hospital of Tsinghua University, Beijing 100016, China |
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Abstract Objective: To investigate the polysomnography monitor to evaluate the incidence of obstructive sleep apnea hypopnea syndrome (OSAHS) in patients with acute cerebral infarction (ACI), and to further analyze its influencing factors by Logistic regression equation. Methods: A total of 192 ACI patients admitted to our hospital from May 2019 to September 2021 were selected as the research objects, and all of them were examined by a polysomnography monitor. The incidence of OSAHS was counted, and the logistic regression equation was used to analyze the influencing factors of OSAHS. Results: After 192 ACI patients were examined by a polysomnography device, the average AHI was (22.19±18.29) times/h, and the average minimum blood oxygen saturation was (80.78±9.67)%. The longest hypopnea time was (83.3±29.31) s, the longest apnea time was (49.96±5.13) s, and the total incidence of OSAHS was 77.08% (148/192). Logistic regression analysis showed that BMI >24 kg/m2, history of diabetes, longest apnea time >40 s, supine position, were risk factors for the occurrence of OSAHS (P<0.05). The AUC of the OSAHS efficacy predicted by the various parameters of the polysomnography monitor was 0.889 (95CI: 0.843～0.926), and the prediction sensitivity and specificity were 71.18% and 91.43%, respectively. Conclusion: Affected by many factors, patients with ACI are at risk of OSAHS, and polysomnography monitoring has good predictive value. In clinical work, prevention should be strengthened for high-risk groups with the above factors to further reduce the incidence of OSAHS.
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2021, Vol. 27 
