The SOAR stroke score predicts hospital length of stay in acute stroke: an external validation study

医学 冲程(发动机) 猛增 急性中风 物理疗法 内科学 急诊医学 人工智能 机械工程 组织纤溶酶原激活剂 计算机科学 工程类
作者
Chun Shing Kwok,Allan Clark,S.D. Musgrave,John F. Potter,Genevieve Dalton,Diana J. Day,Abraham George,A. K. Metcalf,J. Ngeh,Anne Nicolson,Peter Owusu‐Agyei,Raj Shekhar,Kevin Walsh,Elizabeth A. Warburton,Max Bachmann,Phyo Kyaw Myint
出处
期刊:International Journal of Clinical Practice [Wiley]
卷期号:69 (6): 659-665 被引量:12
标识
DOI:10.1111/ijcp.12577
摘要

Aims The objective of this study is to externally validate the SOAR stroke score (Stroke subtype, Oxfordshire Community Stroke Project Classification, Age and prestroke modified Rankin score) in predicting hospital length of stay (LOS) following an admission for acute stroke. Methods We conducted a multi-centre observational study in eight National Health Service hospital trusts in the Anglia Stroke & Heart Clinical Network between September 2008 and April 2011. The usefulness of the SOAR stroke score in predicting hospital LOS in the acute settings was examined for all stroke and then stratified by discharge status (discharged alive or died during the admission). Results A total of 3596 patients (mean age 77 years) with first-ever or recurrent stroke (92% ischaemic) were included. Increasing LOS was observed with increasing SOAR stroke score (p < 0.001 for both mean and median) and the SOAR stroke score of 0 had the shortest mean LOS (12 ± 20 days) while the SOAR stroke score of 6 had the longest mean LOS (26 ± 28 days). Among patients who were discharged alive, increasing SOAR stroke score had a significantly higher mean and median LOS (p < 0.001 for both mean and median) and the LOS peaked among patients with score value of 6 [mean (SD) 35 ± 31 days, median (IQR) 23 (14–48) days]. For patients who died as in-patient, there was no significant difference in mean or median LOS with increasing SOAR stroke score (p = 0.68 and p = 0.79, respectively). Conclusion This external validation study confirms the usefulness of the SOAR stroke score in predicting LOS in patients with acute stroke especially in those who are likely to survive to discharge. This provides a simple prognostic score useful for clinicians, patients and service providers.

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