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健康、活动、呼吸困难、阻塞、年龄和住院:稳定期 COPD 患者的预后评分。

The health, activity, dyspnea, obstruction, age, and hospitalization: prognostic score for stable COPD patients.

机构信息

Pneumology Department, Hospital Galdakao-Usansolo, 48960 Galdakao, Bizkaia, Spain.

出版信息

Respir Med. 2011 Nov;105(11):1662-70. doi: 10.1016/j.rmed.2011.05.005. Epub 2011 Jun 23.

Abstract

UNLABELLED

Multidimensional instruments for determining the severity and prognosis of chronic obstructive pulmonary disease (COPD) must be used in daily clinical practice.

OBJECTIVE

To develop and validate a new COPD severity score using variables readily obtained in clinical practice and to compare its predictive capacity with that of other multidimensional indexes. Data collected from a prospective cohort of 611 stable COPD patients were used to derive a clinical prediction rule that was later validated in a separate prospective cohort of 348 patients. In the multivariate analyses, six independent predictive factors were correlated with overall and respiratory mortality: health status, physical activity, dyspnea, airway obstruction (FEV(1)), age, and hospitalizations for COPD exacerbations in the previous two years. These create the HADO-AH score. Based on the β parameter obtained in the multivariate model, a score was assigned to each predictive variable. The area under the curve for 5-year mortality was 0.79 (95% CI, 0.74-0.83) in the derivation cohort and 0.76 (95% CI, 0.71-0.81) in the validation cohort. The HADO-AH score was a significantly better predictor of mortality than the HADO-score and the Body-mass index, Obstruction, Dyspnea, Exercise-index were statistically significant (p < 0.0004 and p = 0.021, respectively), but was similar to the Age, Dyspnea, and Obstruction-index (p = 0.345). The HADO-AH score provides estimates of all-cause and respiratory mortality that are equal to, or better than, those of other multidimensional instruments. Because it uses only easily accessible measures, it could be useful at all levels of care.

摘要

未加标签

在日常临床实践中,必须使用多维仪器来确定慢性阻塞性肺疾病(COPD)的严重程度和预后。

目的

利用临床实践中易于获得的变量开发和验证一种新的 COPD 严重程度评分,并比较其预测能力与其他多维指标的预测能力。使用来自 611 例稳定 COPD 患者的前瞻性队列研究数据得出一个临床预测规则,然后在另外 348 例前瞻性队列中进行验证。在多变量分析中,与全因和呼吸死亡相关的六个独立预测因素为:健康状况、体力活动、呼吸困难、气道阻塞(FEV1)、年龄和过去两年内因 COPD 加重而住院。这些因素构成了 HADO-AH 评分。根据多变量模型中的β参数,为每个预测变量分配一个评分。在推导队列中,5 年死亡率的曲线下面积为 0.79(95%CI,0.74-0.83),在验证队列中为 0.76(95%CI,0.71-0.81)。HADO-AH 评分在预测死亡率方面明显优于 HADO 评分和体重指数、阻塞、呼吸困难、运动指数(p<0.0004 和 p=0.021,分别),但与年龄、呼吸困难和阻塞指数相似(p=0.345)。HADO-AH 评分提供的全因和呼吸死亡率估计值与其他多维工具相当或更好。由于它仅使用易于获得的措施,因此在各级护理中都可能有用。

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