Roche Nicolas, Chavaillon Jean-Michel, Maurer Cyril, Zureik Mahmoud, Piquet Jacques
Respiratory and Intensive Care Medicine department, Cochin Hospital Group, APHP, University Paris Descartes (EA2511), Paris, 75005, France.
Respir Res. 2014 Aug 27;15(1):99. doi: 10.1186/s12931-014-0099-9.
The use of a severity score to help orientation decisions could improve the efficiency of care for acute exacerbations of COPD (AECOPD). We previously developed a score ('2008 score', based on age, dyspnea grade at steady state and number of clinical signs of severity) predicting in-hospital mortality in patients with AECOPD visiting emergency departments (EDs). External validity of this score remained to be assessed.
To test the predictive properties of the '2008 score' in a population of patients hospitalized in medical respiratory wards for AECOPD, and determine whether a new score specifically derived from this population would differ from the previous score in terms of components or predictive performance.
Data from a cohort study in 1824 patients hospitalized in a medical ward for an AECOPD were analyzed. Patients were categorized using the 2008 score and its predictive characteristics for in-hospital mortality rates were assessed. A new score was developed using multivariate logistic regression modeling in a randomly selected derivation population sample followed by testing in the remaining population (validation sample). Robustness of results was assessed by case-by-case validation.
The 2008 score was characterized by a c-statistic at 0.77, a sensitivity of 69% and a specificity of 76% for prediction of in-hospital mortality. The new score comprised the same variables plus major cardiac comorbidities and was characterized by a c-statistic of 0.78, a sensitivity of 77% and specificity of 66%.
A score using simple clinical variables has robust properties for predicting the risk of in-hospital death in patients hospitalized for AECOPD. Adding cardiac comorbidities to the original score increased its sensitivity while decreasing its specificity.
使用严重程度评分来辅助决策可能会提高慢性阻塞性肺疾病急性加重(AECOPD)的护理效率。我们之前开发了一个评分(“2008评分”,基于年龄、稳定状态下的呼吸困难分级以及严重程度的临床体征数量)来预测因AECOPD就诊于急诊科(ED)的患者的住院死亡率。该评分的外部有效性仍有待评估。
在因AECOPD入住呼吸内科病房的患者群体中测试“2008评分”的预测特性,并确定专门从该群体得出的新评分在组成部分或预测性能方面是否与先前的评分不同。
分析了一项队列研究中1824名因AECOPD入住内科病房患者的数据。使用2008评分对患者进行分类,并评估其对住院死亡率的预测特征。通过在随机选择的推导人群样本中进行多变量逻辑回归建模,然后在其余人群(验证样本)中进行测试,开发了一个新评分。通过逐例验证评估结果的稳健性。
2008评分的c统计量为0.77,预测住院死亡率的敏感性为69%,特异性为76%。新评分包含相同变量以及主要心脏合并症,其c统计量为0.78,敏感性为77%,特异性为66%。
使用简单临床变量的评分在预测因AECOPD住院患者的院内死亡风险方面具有稳健特性。在原始评分中加入心脏合并症可提高其敏感性,但降低了特异性。