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High Risk Features Contributing to 30-Day Readmission After Acute Ischemic Stroke: A Single Center Retrospective Case-Control Study

机译:导致急性缺血性卒中后 30 天再入院的高危特征:一项单中心回顾性病例对照研究

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Background and Purpose: Risk of 30-day stroke readmission has been attributed to medical comorbidities, stroke severity, and hospitalization metrics. The leading etiologies appear to vary across institutions and remain a moving target. We hypothesized that patients with increased medical complexity have higher odds of 30-day readmission and the immediate time after discharge may be most vulnerable. We aimed to characterize patients with 30-day readmission after acute ischemic stroke (IS) and identify predictors of post-IS readmission. Methods: We performed a retrospective case-control study analyzing post-IS 30-day readmission between January 2016-December 2019 using data from Mount Sinai Hospital's Get With The Guidelines database. We performed chi square analyses and multivariate adjusted logistic regression model including age, sex, coronary artery disease (CAD), renal insufficiency (RI), history of prior stroke or TIA, length of stay (LOS) > 7, and NIHSS >= 5. Results: 6.7 (n = 115) of 1,706 IS encounters had 30-day readmission. The 115 cases were compared to 1,591 controls without 30-day readmission. In our adjusted model, CAD (OR = 1.7, p = 0.01), history of prior stroke or TIA (OR = 1.6, p = 0.01), LOS >7 (OR = 1.7, p = 0.02), and NIHSS = 5 (OR = 4.5, p < 0.001) predicted 30-day readmission. 65 (n = 75) of readmitted patients had readmission within 14 days post-discharge. Conclusions: Patients with post-IS 30-day readmission were more likely to have complex medical comorbidities and history of stroke or TIA compared to controls. Patients with more severe stroke and longer LOS may benefit from individualized transition of care plans and closer follow up during the vulnerable 30-day post-stroke period.
机译:背景和目的:30 天卒中再入院的风险归因于医学合并症、卒中严重程度和住院指标。主要病因似乎因机构而异,并且仍然是一个不断变化的目标。我们假设,医疗复杂性增加的患者再入院 30 天的几率更高,出院后立即可能最脆弱。我们旨在描述急性缺血性卒中(IS)后30天再入院的患者的特征,并确定IS后再入院的预测因素。方法:我们进行了一项回顾性病例对照研究,使用来自西奈山医院 Get With The Guidelines 数据库的数据分析了 2016 年 1 月至 2019 年 12 月期间 IS 后 30 天再入院的情况。我们进行了卡方分析和多因素调整的logistic回归模型,包括年龄、性别、冠状动脉疾病(CAD)、肾功能不全(RI)、既往卒中或TIA病史、住院时间(LOS)>7和NIHSS >= 5。结果:在 1,706 例 IS 就诊中,有 6.7% (n = 115) 有 30 天再入院。将 115 例病例与 1,591 例没有再入院 30 天的对照组进行比较。在我们调整后的模型中,CAD(OR = 1.7,p = 0.01)、既往卒中或 TIA 病史(OR = 1.6,p = 0.01)、LOS >7(OR = 1.7,p = 0.02)和 NIHSS = 5(OR = 4.5,p < 0.001)预测 30 天再入院。65% (n = 75) 的再入院患者在出院后 14 天内再次入院。结论:与对照组相比,IS后30天再入院的患者更有可能有复杂的躯体合并症和卒中或TIA病史。卒中更严重、LOS更长的患者可能受益于个体化护理计划的过渡,并在卒中后脆弱的30天内进行更密切的随访。

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