Polanczyk C A, Rohde L E, Philbin E A, Di Salvo T G
Heart Failure Center, Massachusetts General Hospital and Harvard Medical School, Boston 02114, USA.
Med Care. 1998 Oct;36(10):1489-99. doi: 10.1097/00005650-199810000-00007.
Comparative analysis of hospital outcomes requires reliable adjustment for casemix. Although congestive heart failure is one of the most common indications for hospitalization, congestive heart failure casemix adjustment has not been widely studied. The purposes of this study were (1) to describe and validate a new congestive heart failure-specific casemix adjustment index to predict in-hospital mortality and (2) to compare its performance to the Charlson comorbidity index.
Data from all 4,608 admissions to the Massachusetts General Hospital from January 1990 to July 1996 with a principal ICD-9-CM discharge diagnosis of congestive heart failure were evaluated. Massachusetts General Hospital patients were randomly divided in a derivation and a validation set. By logistic regression, odds ratios for in-hospital death were computed and weights were assigned to construct a new predictive index in the derivation set. The performance of the index was tested in an internal Massachusetts General Hospital validation set and in a non-Massachusetts General Hospital external validation set incorporating data from all 1995 New York state hospital discharges with a primary discharge diagnosis of congestive heart failure.
Overall in-hospital mortality was 6.4%. Based on the new index, patients were assigned to six categories with incrementally increasing hospital mortality rates ranging from 0.5% to 31%. By logistic regression, "c" statistics of the congestive heart failure-specific index (0.83 and 0.78, derivation and validation set) were significantly superior to the Charlson index (0.66). Similar incrementally increasing hospital mortality rates were observed in the New York database with the congestive heart failure-specific index ("c" statistics 0.75).
In an administrative database, this congestive heart failure-specific index may be a more adequate casemix adjustment tool to predict hospital mortality in patients hospitalized for congestive heart failure.
对医院治疗结果进行比较分析需要对病例组合进行可靠的调整。尽管充血性心力衰竭是最常见的住院指征之一,但充血性心力衰竭病例组合调整尚未得到广泛研究。本研究的目的是:(1)描述并验证一种新的针对充血性心力衰竭的病例组合调整指数,以预测住院死亡率;(2)将其性能与查尔森合并症指数进行比较。
对1990年1月至1996年7月在马萨诸塞州综合医院住院的所有4608例患者的数据进行评估,这些患者的主要国际疾病分类第九版临床修订本(ICD-9-CM)出院诊断为充血性心力衰竭。马萨诸塞州综合医院的患者被随机分为推导集和验证集。通过逻辑回归计算住院死亡的比值比,并在推导集中分配权重以构建新的预测指数。该指数的性能在马萨诸塞州综合医院内部验证集以及纳入1995年纽约州所有出院诊断为充血性心力衰竭的医院数据的非马萨诸塞州综合医院外部验证集中进行了测试。
总体住院死亡率为6.4%。根据新指数,患者被分为六类,住院死亡率逐渐升高,范围从0.5%到31%。通过逻辑回归,充血性心力衰竭特异性指数的“c”统计量(推导集和验证集分别为0.83和0.78)显著优于查尔森指数(0.66)。在纽约数据库中,使用充血性心力衰竭特异性指数也观察到类似的住院死亡率逐渐升高情况(“c”统计量为0.75)。
在行政数据库中,这种针对充血性心力衰竭的特异性指数可能是预测充血性心力衰竭住院患者医院死亡率的更合适的病例组合调整工具。