心衰加重和房颤患者30天再入院的住院死亡率和预测因素:一项横断面研究

International Journal of Heart Failure Pub Date : 2022-07-20 eCollection Date: 2022-07-01 DOI:10.36628/ijhf.2022.0002
Karthik Gangu, Aniesh Bobba, Harleen Kaur Chela, Sindhu Avula, Sanket Basida, Neha Yadav
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引用次数: 6

摘要

背景和目的:心力衰竭(HF)和心房颤动(AF)被认为是过去十年新的心血管流行病。最近的国家趋势显示心衰住院率呈上升趋势。我们的目的是确定伴有房颤病史的心衰加重患者的30天再入院率、原因及其对医疗保健利用的影响。方法:我们利用2018年全国再入院数据,纳入年龄≥18岁且符合《国际疾病分类》第十版《临床修改代码》表明心衰加重和房颤的患者。主要观察指标为30天再入院率。次要结局是死亡率、再入院的常见原因和医疗保健利用。使用cox回归分析确定再入院的独立预测因素。结果:本研究共收治48250人。平均年龄77.8岁(标准差12.1),女性占47.74%。30天再入院率为16.72%。指数入院死亡率为7.28%,再入院死亡率为8.12%。再入院最常见的原因是高血压心肾疾病合并心衰。再入院的独立预测因子为低社会经济阶层、医疗补助、Charlson合并症评分。2018年,所有再入院患者的医疗保健经济负担为4.61亿美元。结论:30天再入院率为16.72%。再入院死亡率由7.28%上升至8.12%。这一年重新接纳难民的财政负担为4.61亿美元。未来针对预防再入院的干预措施的研究是有必要的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

In-Hospital Mortality Rate and Predictors of 30-Day Readmission in Patients With Heart Failure Exacerbation and Atrial Fibrillation: A Cross-Sectional Study.

In-Hospital Mortality Rate and Predictors of 30-Day Readmission in Patients With Heart Failure Exacerbation and Atrial Fibrillation: A Cross-Sectional Study.

In-Hospital Mortality Rate and Predictors of 30-Day Readmission in Patients With Heart Failure Exacerbation and Atrial Fibrillation: A Cross-Sectional Study.

In-Hospital Mortality Rate and Predictors of 30-Day Readmission in Patients With Heart Failure Exacerbation and Atrial Fibrillation: A Cross-Sectional Study.

Background and objectives: Heart failure (HF) and atrial fibrillation (AF) are considered new cardiovascular epidemics of the last decade. Recent national trends show an uptrend in HF hospitalizations. We aimed to identify the 30-day readmission rate, causes, and impact on healthcare utilization in HF exacerbation with a history of AF.

Methods: We utilized 2018 Nationwide readmission data and included patients aged ≥18 years with International Classification of Diseases, Tenth Revision, Clinical Modification code indicating HF exacerbation and AF were included in the study. Primary outcome is 30-day readmission rates. Secondary outcomes were mortality rates, common causes of readmission, and healthcare utilization. Independent predictors for readmission were identified using cox regression analysis.

Results: The total number of admissions in our study was 48,250. The mean age was 77.8 years (standard deviation, 12.1), and 47.74% were females. The 30-day readmission rate was 16.72%. The mortality rate at index admission and readmission was 7.28% and 8.12%, respectively. The most common cause of readmission was the hypertensive heart and kidney disease with HF. The independent predictors of readmission were low socio-economic class, Medicaid, Charlson comorbidities score. The financial burden on healthcare for all the readmission was $461 million for the year 2018.

Conclusions: The 30-day readmission rate was 16.72%. The mortality rate increased from 7.28% to 8.12% with readmission. The financial burden for readmission during that year was $461 million. Future studies directed with interventions to prevents readmissions are warranted.

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