Division of Neurology and Vancouver Stroke Program, University of British Columbia, Vancouver, British Columbia, Canada.
Stanford Stroke Center, Stanford University, Palo Alto, California, United States of America.
PLoS One. 2023 Aug 3;18(8):e0289640. doi: 10.1371/journal.pone.0289640. eCollection 2023.
Hospital readmissions following stroke are costly and lead to worsened patient outcomes. We examined readmissions rates, diagnoses at readmission, and risk factors associated with readmission following acute ischemic stroke (AIS) in a large United States (US) administrative database. Using the 2019 Nationwide Readmissions Database, we identified adults discharged with AIS (ICD-10-CM I63*) as the principal diagnosis. Survival analysis with Weibull accelerated failure time regression was used to examine variables associated with hospital readmission. In 2019, 273,811 of 285,451 AIS patients survived their initial hospitalization. Of these, 60,831 (22.2%) were readmitted within 2019. Based on Kaplan Meyer analysis, readmission rates were 9.7% within 30 days and 30.5% at 1 year following initial discharge. The most common causes of readmissions were stroke and post stroke sequalae (25.4% of 30-day readmissions, 15.0% of readmissions between 30-364 days), followed by sepsis (10.3% of 30-day readmissions, 9.4% of readmissions between 30-364 days), and acute renal failure (3.2% of 30-day readmissions, 3.0% of readmissions between 30-364 days). After adjusting for multiple patient and hospital-level characteristics, patients at increased risk of readmission were older (71.6 vs. 69.8 years, p<0.001) and had longer initial lengths of stay (7.6 vs. 6.2 day, p<0.001). They more often had modifiable comorbidities, including vascular risk factors (hypertension, diabetes, atrial fibrillation), depression, epilepsy, and drug abuse. Social determinants associated with increased readmission included living in an urban (vs. rural) setting, living in zip-codes with the lowest median income, and having Medicare insurance. All factors were significant at p<0.001. Unplanned hospital readmissions following AIS were high, with the most common reasons for readmission being recurrent stroke and post stroke sequalae, followed by sepsis and acute renal failure. These findings suggest that efforts to reduce readmissions should focus on optimizing secondary stroke and infection prevention, particularly among older socially disadvantaged patients.
卒中后住院再入院费用高昂,导致患者预后恶化。我们在美国(US)行政数据库中研究了大量急性缺血性卒中(AIS)患者的再入院率、再入院时的诊断和再入院相关的危险因素。我们使用 2019 年全国再入院数据库,确定了以 AIS(ICD-10-CM I63*)为主要诊断出院的成年人。使用威布尔加速失效时间回归的生存分析来研究与医院再入院相关的变量。2019 年,在 285451 例 AIS 患者中,有 273811 例存活至首次住院。其中,60831 例(22.2%)在 2019 年内再次入院。基于 Kaplan-Meier 分析,再入院率在 30 天内为 9.7%,在首次出院后 1 年内为 30.5%。再入院的最常见原因是卒中及卒中后后遗症(30 天内再入院的 25.4%,30-364 天内再入院的 15.0%),其次是败血症(30 天内再入院的 10.3%,30-364 天内再入院的 9.4%)和急性肾衰竭(30 天内再入院的 3.2%,30-364 天内再入院的 3.0%)。在调整了多个患者和医院层面的特征后,有更高再入院风险的患者年龄更大(71.6 岁 vs. 69.8 岁,p<0.001),初始住院时间更长(7.6 天 vs. 6.2 天,p<0.001)。他们更常患有可改变的合并症,包括血管危险因素(高血压、糖尿病、房颤)、抑郁、癫痫和药物滥用。与再入院增加相关的社会决定因素包括居住在城市(而非农村)环境中、居住在收入中位数最低的邮政编码区和拥有医疗保险。所有因素在 p<0.001 时均有统计学意义。AIS 后非计划性住院再入院率较高,再入院的最常见原因是再次卒中及卒中后后遗症,其次是败血症和急性肾衰竭。这些发现表明,减少再入院的努力应集中在优化二级卒中预防和感染预防,特别是在年龄较大的社会劣势患者中。