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急性心肌梗死后的“不要复苏”状态与风险标准化死亡率及再入院率

Do-Not-Resuscitate Status and Risk-Standardized Mortality and Readmission Rates Following Acute Myocardial Infarction.

作者信息

Bruckel Jeffrey, Nallamothu Brahmajee K, Ling Frederick, Howell Erik H, Lowenstein Charles J, Thomas Sabu, Bradley Steven M, Mehta Anuj, Walkey Allan J

机构信息

Division of Cardiovascular Medicine, University of Rochester Medical Center, NY (J.B., F.L., E.H.H., C.J.L., S.T.).

Division of Cardiovascular Medicine, Michigan Integrated Center for Health Analytics and Medical Prediction (M-CHAMP), University of Michigan Health System, Ann Arbor (B.K.N.).

出版信息

Circ Cardiovasc Qual Outcomes. 2019 Mar;12(3):e005196. doi: 10.1161/CIRCOUTCOMES.118.005196.

Abstract

Background Important administrative-based measures of hospital quality, including those used by Centers for Medicare and Medicaid Services, may not adequately account for patient illness and social factors that vary between hospitals and can strongly affect outcomes. Do-not-resuscitate (DNR) order on admission (within the first 24 hours) is one such factor that may reflect higher preadmission illness burden as well as patients' desire for less-intense therapeutic interventions and has been shown to vary widely between hospitals. We sought to evaluate how accounting for early DNR affected hospital quality measures for acute myocardial infarction. Methods AND RESULTS We identified all patients admitted with acute myocardial infarction using the California State Inpatient Database, which captures early DNR use within 24 hours of admission. We generated hospital risk-standardized mortality and readmissions using random-effects logistic regression, before and after including early DNR status, to examine changes in overall model fit and hospital outlier designations. We included 109 521 patients from 289 hospitals and found that 8.5% (9356) patients had early DNR. Early DNR use varied widely, with median (interquartile range) hospital rates of 7.9% (4.1%-14.0%). Including early DNR in models used to assess hospital quality resulted in improvement in the mortality model (C statistics from 0.754 [0.748-0.759] to 0.784 [0.779-0.789]) but not the readmissions model. Of the hospitals designated high outliers for mortality and readmissions by the Centers for Medicare/Medicaid Services model, and therefore destined for a financial penalty, 6/25 (24%) were reclassified as nonoutliers for mortality and 2/14 (14.3%) for readmissions after including DNR status. Agreement in outlier status between the models before and after inclusion of early DNR status was moderate for mortality (κ, 0.603 [0.482-0.724]; P<0.001) and high for readmissions (κ, 0.888 [0.800-0.977]; P<0.001). Conclusions Including early DNR status in risk-adjustment models significantly improved model fit and resulted in substantial reclassification of hospital performance rankings for mortality and moderate reclassification for readmissions. DNR status at hospital admission should be considered when reporting risk-standardized hospital mortality.

摘要

背景

医院质量的重要行政性指标,包括医疗保险和医疗补助服务中心所使用的指标,可能无法充分考虑到医院之间存在差异且会强烈影响治疗结果的患者病情和社会因素。入院时(最初24小时内)的“不要复苏”(DNR)医嘱就是这样一个因素,它可能反映出更高的入院前疾病负担以及患者对强度较低治疗干预措施的期望,并且已被证明在不同医院之间存在很大差异。我们试图评估纳入早期DNR医嘱对急性心肌梗死医院质量指标的影响。

方法与结果

我们使用加利福尼亚州住院患者数据库确定了所有因急性心肌梗死入院的患者,该数据库记录了入院24小时内早期DNR医嘱的使用情况。在纳入早期DNR状态前后,我们使用随机效应逻辑回归生成医院风险标准化死亡率和再入院率,以检验总体模型拟合度和医院异常值指定的变化。我们纳入了来自289家医院的109521名患者,发现8.5%(9356名)患者有早期DNR医嘱。早期DNR医嘱的使用差异很大,医院的中位数(四分位间距)使用率为7.9%(4.1%-14.0%)。在用于评估医院质量的模型中纳入早期DNR医嘱可改善死亡率模型(C统计量从0.754[0.748-0.759]提高到0.784[0.779-0.789]),但对再入院率模型没有影响。在医疗保险/医疗补助服务中心模型指定为死亡率和再入院率高异常值并因此将面临经济处罚的医院中,纳入DNR状态后,6/25(24%)家医院在死亡率方面被重新分类为非异常值,2/14(14.3%)家医院在再入院率方面被重新分类。纳入早期DNR状态前后模型之间的异常值状态一致性在死亡率方面为中等(κ,0.603[0.482-0.724];P<0.001),在再入院率方面为高度一致(κ,0.888[0.800-0.977];P<0.001)。

结论

在风险调整模型中纳入早期DNR状态可显著改善模型拟合度,并导致医院死亡率绩效排名的大幅重新分类和再入院率的适度重新分类。在报告风险标准化医院死亡率时应考虑医院入院时的DNR状态。

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