A. Saad, N. Fahem, A. Migaou, Saousen Cheikh Mhamed, S. Joobeur, N. Rouatbi
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引用次数: 0
摘要
背景:慢性阻塞性肺疾病(AECOPD)急性加重期多次住院与相当高的发病率和死亡率相关。目的:探讨AECOPD多次住院的预测因素。方法:这是一项回顾性单中心研究,纳入1990年1月至2015年12月在呼吸内科连续住院的COPD患者。我们计算每位患者因AECOPD住院的平均次数/年(H/y)。我们将患者分为两组(G)。G1: <2 H/y, G2:≥2 H/y。单因素分析确定的多次入院预测因子纳入多因素分析。结果:研究纳入1167例COPD患者(平均年龄67±10岁,97%为男性)。306例(26%)COPD患者平均每年住院次数≥2次。多因素logistic回归分析显示,mMRC≥2(奇比[OR] 1.8, 95%可信区间[CI] 1.08 ~ 2.99, p = 0.022)、低PaO2 (PaO2 OR 0.97, 95% CI 0.95 ~ 0.99, p = 0.007)和频繁加重(OR 2.95, 95% CI 2.56 ~ 3.39, p < 0.001)是与AECOPD多次入院相关的独立因素。结论:mMRC≥2、低PaO2和频繁加重与AECOPD多次住院独立相关。这些高风险COPD患者的识别将有助于制定干预策略。
Predictive Factors of Multiple Hospitalizations for Acute Exacerbations of COPD
Background: Multiple hospitalizations for acute exacerbations of chronic obstructive pulmonary disease (AECOPD) are associated with considerable morbidity and mortality. Objectives: To identify predictive factors of multiples hospitalizations for AECOPD. Methods: This is a retrospective single center study of consecutive patients with COPD hospitalized at the Department of Respiratory Medicine between January 1990 and December 2015. We calculated for each patient the mean number of hospitalizations for AECOPD/year (H/y). We distinguished 2 groups (G) of patients. G1: <2 H/y and G2: ≥2 H/y. Predictors of multiple admissions identified by univariate analysis were included in the multivariate analysis. Results: The study included 1167 COPD patients (mean age 67 ± 10 years, 97% males). Three hundred six (26%) COPD patients had a mean number of hospitalizations per year ≥ 2. Multivariate logistic regression analysis demonstrated that an mMRC ≥ 2 (Odd ratio [OR] 1.8, 95% confidence interval [CI] 1.08 - 2.99, p = 0.022), a low PaO2 (PaO2 OR 0.97, 95% CI 0.95 - 0.99, p = 0.007) and frequent exacerbations (OR 2.95, 95% CI 2.56 - 3.39, p < 0.001) are independent factors associated with multiple admissions for AECOPD. Conclusions: An mMRC ≥ 2, a low PaO2 and frequent exacerbations are independently associated with multiple hospitalizations for AECOPD. The identification of these high risk COPD patients will be helpful in the decision of intervention strategies.