Miller Thomas P, Oswald Frederick L, Reeves Mathew J
College of Human Medicine, Michigan State University, East Lansing, Mich, USA.
J Allergy Clin Immunol. 2008 Aug;122(2):328-34, 334.e1-5. doi: 10.1016/j.jaci.2008.05.021. Epub 2008 Jun 24.
Clinical risk models use recognized risk factors to identify patients at risk for future asthma morbidity. However, the low predictive values of these models suggest an important need to re-evaluate risk assessment strategies.
To use exploratory factor analysis to define underlying factors operative in asthma treatment and morbidity, and characterize their interrelationships and association with 6-month morbidity.
Children (n = 197) presenting to an emergency department for an acute asthma episode were followed for 6 months (follow-up data available for 84%). Baseline data included demographics, asthma history, current and past symptoms, and current treatment and management. Factor analysis was used to summarize the underlying relationships between variables. Correlations between factors and 6-month morbidity were calculated.
Factor analysis revealed that 4 factors provided a parsimonious summary of the variables. The factors were labeled current symptom severity, quality of care indicators, previous severe disease, and sociodemographic factors. Positive correlations were observed between quality of care, current symptom severity, and previous severe disease. The factor describing sociodemographic factors was inversely related to current symptom severity and quality of care. Previous severe disease significantly predicted 6-month morbidity.
Quality of care was better in subjects with increased current symptoms or previous severe disease, but poorer in individuals with adverse sociodemographic factors. Previous severe disease was the only factor associated with 6-month morbidity, suggesting that current assessment methods do not adequately account for all underlying factors likely operative in asthma morbidity.
临床风险模型利用公认的风险因素来识别未来有哮喘发病风险的患者。然而,这些模型的低预测价值表明迫切需要重新评估风险评估策略。
运用探索性因素分析来确定哮喘治疗和发病过程中的潜在因素,描述它们之间的相互关系以及与6个月发病率的关联。
对197名因急性哮喘发作前往急诊科就诊的儿童进行了为期6个月的随访(84%的患者有随访数据)。基线数据包括人口统计学信息、哮喘病史、当前和既往症状以及当前的治疗和管理情况。采用因素分析来总结变量之间的潜在关系。计算各因素与6个月发病率之间的相关性。
因素分析显示,4个因素可简洁地概括这些变量。这些因素分别被标记为当前症状严重程度、护理质量指标、既往重症疾病和社会人口学因素。护理质量、当前症状严重程度和既往重症疾病之间呈正相关。描述社会人口学因素的因素与当前症状严重程度和护理质量呈负相关。既往重症疾病显著预测了6个月的发病率。
当前症状加重或既往有重症疾病的患者护理质量较好,但社会人口学因素不利的个体护理质量较差。既往重症疾病是与6个月发病率相关的唯一因素,这表明当前的评估方法未能充分考虑到哮喘发病可能涉及的所有潜在因素。