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| 脑梗死患者入院特征预测住院时间初步研究 | |
| 引用本文： | 马英,刘云,付红梅,王晓明,吴碧华,王顺先,彭国光,杨琼.脑梗死患者入院特征预测住院时间初步研究[J].重庆医学,2012,41(4):313-316,319. |
| 作者姓名： | 马英 刘云 付红梅 王晓明 吴碧华 王顺先 彭国光 杨琼 |
| 作者单位： | 1. 川北医学院附属医院神经内科,四川南充,637000 2. 川北医学院法医系,四川南充,637000 3. 重庆医科大学附属第一医院,400016 |
| 基金项目： | 四川省卫生厅科研课题，川北医学院苗圃基金资助项目 |
| 摘 要： | 目的探讨脑梗死患者入院特征与住院时间(LOS)之间的关系及意义。方法回顾性分析557例主要诊断为脑梗死患者的入院特征和LOS。结果脑梗死患者平均LOS为18.5d(LOS为16d)。多元回归分析发现脑梗死患者的医保种类、脑梗死严重程度美国国立卫生院卒中量表(NIHSS)评分,格拉斯哥昏迷量表(GCS)评分]、牛津郡社区卒中计划(OCSP)分类、某些合并症冠心病、慢性阻塞性肺疾病(COPD)和高脂血症]以及入院时白细胞升高是LOS的主要预测因子(P<0.05)。结论脑梗死严重程度、OCSP分类、某些合并症(冠心病、COPD和高脂血症)、入院时白细胞升高及医保种类是预测LOS的主要因素。 |
| 关 键 词： | 脑梗死 住院时间 入院特征 |
Admission characteristics predicting hospital length of stay in inpatient with cerebral infarction |
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| Ma Ying,Liu Yun,Fu Hongmei,Wang Xiaoming,Wu Bihua,Wang Shunxian,Peng Guoguang,Yang Qiong.Admission characteristics predicting hospital length of stay in inpatient with cerebral infarction[J].Chongqing Medical Journal,2012,41(4):313-316,319. | |
| Authors: | Ma Ying Liu Yun Fu Hongmei Wang Xiaoming Wu Bihua Wang Shunxian Peng Guoguang Yang Qiong |
| Institution: | 1 (1.Department of Neurology,Affiliated Hospital of North Sichuan Medical College,Nanchong,Sichuan 637000,China;2.Department of Forensic Medicine,North Shichuan Medical College,Nanchong,Sichuan 637000,China;3.Department of Neurology,First Affiliated Hospital of Chongqing Medical University,Chongqing 400016,China) |
| Abstract: | Objective To investigate the relationship between hospital length of stay(LOS) and admission characteristics in inpatient with cerebral infarction.Methods A total of 557 consecutive patients with principal diagnosis of cerebral infarction were enrolled.The admission characteristics and LOS were retrospectively analyzed.Results The mean LOS was 18.5 d(median 16 d).Our analysis demonstrated that medical insurance status,stroke severity(NIHSS score,FIM cognitive and motor score,Glasgow coma scale),OCSP classification,some comorbidities(coronary heart disease,COPD and hyperlipemia),and raised leukocytes were the main explanatory factors for LOS by stepwise multiple regression model(P<0.05).Conclusion Stroke severity,OCSP classification,raised leukocytes on admission,some comorbidities,and medical insurance status may help to predict LOS for cerebral infarction patients. |
| Keywords: | brain infarction length of stay admission characteristics |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |