【摘要】：目的分析阻塞性睡眠呼吸暫停低通氣綜合征(OSAHS)亞型,為其個體化治療提供依據(jù)。方法選擇OSAHS患者308例,收集患者年齡、BMI、呼吸暫停低通氣指數(shù)(AHI)、最低血氧飽和度(LSa O2)、最長呼吸暫停時間(LAT)、Epworth嗜睡量表評分(ESS評分)、微覺醒次數(shù)、吸煙指數(shù)、合并癥、癥狀評分資料,采用主成分分析法和聚類分析法對其進(jìn)行亞型分類。結(jié)果 308例OSAHS患者經(jīng)主成分分析得到5個主成分,累加方差貢獻(xiàn)率為73.091%。其中,主成分1包括AHI、BMI、ESS評分、LSa O2,主成分2包括年齡、合并癥,主成分3包括ESS評分、癥狀評分,主成分4包括LAT、吸煙指數(shù),主成分5為微覺醒次數(shù)。經(jīng)聚類分析將308例OSAHS患者分為4種亞型:亞型1為中年超重OSAHS患者,呼吸暫停時間最短,合并癥最多;亞型2為中年肥胖OSAHS患者,缺氧程度最重,微覺醒次數(shù)最多;亞型3為青年肥胖OSAHS患者,微覺醒次數(shù)最少,ESS評分最高;亞型4為老年超重OSAHS患者,呼吸暫停時間最長,吸煙指數(shù)最高,癥狀最少。結(jié)論經(jīng)主成分分析法和聚類分析法將OSAHS患者分為4個亞型,各亞型存在明顯異質(zhì)性,能更好地反映個體差異。
[Abstract]:Objective to analyze (OSAHS) subtypes of obstructive sleep apnea hypopnea syndrome (OSAS) and to provide evidence for individualized treatment. Methods three hundred and eighty-eight patients with OSAHS were selected to collect age, (AHI), minimum oxygen saturation (LSa O 2), longest apnea time (LAT) Epworth sleepiness scale (ESS score), times of arousal, smoking index, complication, symptom score, and apnea hypopnea index (LSa O 2). Principal component analysis and cluster analysis were used to classify its subtypes. Results five principal components were obtained by principal component analysis in 308 patients with OSAHS, and the cumulative variance contribution rate was 73.091. Principal component 1 includes AHI,BMI,ESS score, principal component 2 includes age, complications, principal component 3 includes ESS score, symptom score, principal component 4 includes LAT, smoking index, principal component 5 is the number of arousal. According to cluster analysis, 308 patients with OSAHS were divided into four subtypes: subtype 1 was middle aged and overweight OSAHS patients, apnea time was the shortest, complication was the most, subtype 2 was middle aged obese OSAHS patients, the degree of hypoxia was the most serious, and the number of arousal was the highest. Subtype 3 was the young obese OSAHS patients, and subtype 4 was the elderly overweight OSAHS patients with the longest apnea time, the highest smoking index and the least symptom. Conclusion the patients with OSAHS can be divided into four subtypes by principal component analysis and cluster analysis. Each subtype has obvious heterogeneity and can better reflect individual differences.
【作者單位】： 南昌大學(xué)第二附屬醫(yī)院;
【分類號】：R766
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本文編號：2217477