Establishment of a nomogram prediction model for the severity of elderly patients with obstructive sleep apnea hypopnea syndrome
SUBINUER Abulaiti1, PEIERDUN Mijiti1, AMANGULI2
1. School of Public Health, Xinjiang Medical University, Urumqi, Xinjiang 830011, China; 2. Central Laboratory, Xinjiang Medical University, Urumqi, Xinjiang 830011, China
Abstract：Objective To investigate the factors influencing the severity of elderly patients with obstructive sleep apnea hypopnea syndrome (OSAHS), and to establish a nomogram prediction model for moderate and severe risk of OSAHS in elderly patients. Methods We collected the general and clinical data of 1,244 elderly patients with OSAHS diagnosed in an Affiliated Hospital of Xinjiang Medical University from January 2016 to December 2020. The severity of OSAHS was measured by apnea hypopnea index (AHI). The factors influencing moderate and severe OSAHS in elderly patients were analyzed by binary logistic regression, and a nomogram model for predicting the risk of moderate and severe OSAHS was established. Results Among the 1,244 elderly patients with OSAHS, mild OSAHS (5 times/h≤AHI≤15 times/h), moderate OSAHS (16 times/h≤AHI≤30 times/h) and severe OSAHS (AHI>30 times/h) were 40.11%, 35.85% and 24.04%, respectively. The results of binary logistic regression analysis displayed that obesity, 75-80 years of age, neck circumference, creatinine and glycosylated hemoglobin were the influencing factors of moderate and severe conditions in the elderly patients with OSAHS. The nomogram model was established based on the risk of moderate-severe OSAHS. The area under the receiver operating characteristic (ROC) curve of the joint predictors of the nomogram model for predicting the risk of moderate and severe OSAHS in the elderly was 0.655 (95%CI:0.624-0.687), which was higher than the area under the single factor ROC curve. The correction curve of the joint predictors of the nomogram model for predicting the risk of moderate and severe OSAHS in the elderly was close to the ideal curve, indicating that the model had good prediction effect. Conclusion Obesity, 75-80 years of age, neck circumference, creatinine and glycosylated hemoglobin are the influencing factors of moderate and severe OSAHS in the elderly, and the nomogram established based on these factors is conducive to predicting the elderly population at high risk of moderate and severe OSAHS.
苏比努尔·阿布来提, 培尔顿·米吉提, 阿曼古丽. 老年阻塞性睡眠呼吸暂停低通气综合征患者严重程度列线图预测模型的建立[J]. 实用预防医学, 2023, 30(2): 134-138.
SUBINUER Abulaiti, PEIERDUN Mijiti, AMANGULI. Establishment of a nomogram prediction model for the severity of elderly patients with obstructive sleep apnea hypopnea syndrome. , 2023, 30(2): 134-138.
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2023, Vol. 30 
