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首页> 外文期刊>International Journal of General Medicine >Determining 30-day readmission risk for heart failure patients: the Readmission After Heart Failure scale
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Determining 30-day readmission risk for heart failure patients: the Readmission After Heart Failure scale

机译：确定心力衰竭患者30天再入院风险：心力衰竭后再入院量表

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Background: Chronic heart failure (CHF), which affects >5 million Americans, accounts for >1 million hospitalizations annually. As a part of the Hospital Readmission Reduction Program, the Affordable Care Act requires that the Centers for Medicare and Medicaid Services reduce payments to hospitals with excess readmissions. This study sought to develop a scale that reliably predicts readmission rates among patients with CHF. Methods: The State Inpatient Database (2006–2011) was utilized, and discharge data including demographic and clinical characteristics on 642,448 patients with CHF from California and New York (derivation cohort) and 365,359 patients with CHF from Florida and Washington (validation cohort) were extracted. The Readmission After Heart Failure (RAHF) scale was developed to predict readmission risk. Results: The 30-day readmission rates were 9.42 and 9.17% (derivation and validation cohorts, respectively). Age 15; 12.04% readmission rate). The relative risk of readmission was 1.67 for the high-risk group compared with the low-risk group. Conclusion: The RAHF scale reliably predicts a patient’s 30-day CHF readmission risk based on demographic and clinical factors present upon initial admission. By risk-stratifying patients, using models such as the RAHF scale, strategies tailored to each patient can be implemented to improve patient outcomes and reduce health care costs.
机译：背景：影响超过500万美国人的慢性心力衰竭（CHF）每年住院人数超过100万。作为减少医院再入院计划的一部分，《平价医疗法案》（Affordable Care Act）要求医疗保险和医疗补助服务中心减少对再入院过多的医院的付款。这项研究试图开发一种能够可靠地预测CHF患者再入院率的量表。方法：利用州住院患者数据库（2006-2011年），对来自加利福尼亚和纽约的642448例CHF患者（派生队列）以及来自佛罗里达和华盛顿的365359例CHF患者（验证队列）的人口统计和临床特征进行统计。提取。心力衰竭后的再入院（RAHF）量表用于预测再入院的风险。结果：30天再入院率分别为9.42和9.17％（分别来自派生组和验证组）。 15岁;再录入率为12.04％）。高危组与低危组相比，再次入院的相对风险为1.67。结论：RAHF量表可根据首次入院时出现的人口统计学和临床​​因素可靠地预测患者30天的CHF再入院风险。通过使用RAHF量表等模型对患者进行风险分层，可以实施针对每个患者量身定制的策略，以改善患者预后并降低医疗保健成本。

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