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老年谵妄患者30天再入院的原因及预测因素

Causes and Predictors of 30-Day Readmission in Elderly Patients With Delirium.

作者信息

Lau H Lee, Patel Smit D, Garg Neeta

机构信息

Department of Neurology (HLL, NG), Miller School of Medicine University of Miami, FL; and Department of Neurology (SDP), University of Connecticut, Hartford.

出版信息

Neurol Clin Pract. 2021 Jun;11(3):e251-e260. doi: 10.1212/CPJ.0000000000000976.

Abstract

OBJECTIVE

To study 30-day readmission (30-DR) rate and predictors for readmission among elderly patients with delirium.

METHODS

This was a retrospective observational cohort study of patients aged ≥65 years with discharge diagnosis of delirium identified from the Nationwide Readmission Database using common codes linked to delirium diagnosis. Multivariate logistic regression analyses were performed adjusting for stratified cluster design to identify patient/system-specific factors associated with 30-DR.

RESULTS

Overall, the 30-DR rate was 17% (7,140 of 42,655 weighted index admissions). The common causes of readmission were systemic diseases (43%), infections (27%), and neurologic diseases (18%). Compared with initial hospitalization, readmission costs were higher ($11,442 vs $10,350, < 0.0001) with a longer length of stay (6.6 vs 6.1 days, < 0.0001). Independent predictors of readmission included discharge against medical advice (odds ratio [OR] 1.8, < 0.0034), length of stay (OR 1.3, < 0.0001), and chronic systemic diseases (anemia, OR 2.4, < 0.0001, chronic renal failure OR 1.4, < 0.0001, congestive heart failure OR 1.3, < 0.0001, lung disease OR 1.2, < 0.0004, and liver disease OR 1.2, < 0.03). Private insurance was associated with a lower risk of readmission (OR 0.78, < 0.02).

CONCLUSIONS

The main predictors of readmission were chronic systemic diseases and discharge against medical advice. These data may help design directed clinical care pathways to optimize medical management and postdischarge care to reduce readmission rates.

摘要

目的

研究老年谵妄患者的30天再入院率及再入院的预测因素。

方法

这是一项回顾性观察队列研究,研究对象为年龄≥65岁、出院诊断为谵妄的患者,这些患者通过与谵妄诊断相关的通用代码从全国再入院数据库中识别出来。进行多变量逻辑回归分析,并根据分层整群设计进行调整,以确定与30天再入院相关的患者/系统特定因素。

结果

总体而言,30天再入院率为17%(42,655例加权指数入院患者中有7,140例)。再入院的常见原因是全身性疾病(43%)、感染(27%)和神经系统疾病(18%)。与首次住院相比,再入院费用更高(11,442美元对10,350美元,<0.0001),住院时间更长(6.6天对6.1天,<0.0001)。再入院的独立预测因素包括违反医嘱出院(比值比[OR]1.8,<0.0034)、住院时间(OR 1.3,<0.0001)和慢性全身性疾病(贫血,OR 2.4,<0.0001;慢性肾衰竭,OR 1.4,<0.0001;充血性心力衰竭,OR 1.3,<0.0001;肺部疾病,OR 1.2,<0.0004;肝病,OR 1.2,<0.03)。私人保险与再入院风险较低相关(OR 0.78,<0.02)。

结论

再入院的主要预测因素是慢性全身性疾病和违反医嘱出院。这些数据可能有助于设计有针对性的临床护理路径,以优化医疗管理和出院后护理,从而降低再入院率。

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