Predicting post-stroke pneumonia: the PANTHERIS score

被引:158
作者
Harms, H. [1 ,2 ,3 ]
Grittner, U. [1 ,4 ]
Droege, H. [3 ]
Meisel, A. [1 ,2 ,3 ]
机构
[1] Charite, Ctr Stroke Res Berlin CSB, D-10117 Berlin, Germany
[2] Charite, NCRC, D-10117 Berlin, Germany
[3] Charite, Dept Neurol, D-10117 Berlin, Germany
[4] Charite, Dept Biometr & Clin Epidemiol, D-10117 Berlin, Germany
来源
ACTA NEUROLOGICA SCANDINAVICA | 2013年 / 128卷 / 03期
关键词
predictive score; stroke; stroke-associated pneumonia; glasgow coma scale; systolic hypertension; ACUTE ISCHEMIC-STROKE; PREVENTIVE ANTIBACTERIAL THERAPY; SYMPATHETIC ACTIVATION; RISK-FACTORS; INFECTION; CARE; ASPIRATION; IMMUNODEPRESSION; ANTIBIOTICS; MORTALITY;
D O I
10.1111/ane.12095
中图分类号
R74 [神经病学与精神病学];
学科分类号
100204 [神经病学];
摘要
Objectives - Stroke-associated pneumonia (SAP) is a common complication with a known negative impact on neurological outcome. We developed a score to identify patients at highest risk of SAP in order to promote prophylactic measures. Materials and Methods - We conducted a cohort study on a neurological intensive care unit in patients suffering from acute ischemic MCA infarction. Association of predefined demographics, comorbidities, and clinical characteristics with SAP was investigated using logistic regression analysis. Results Between 2003 and 2010, a total of 335 patients were included in this analysis. Frequency of SAP was 31.3%. A 12-point scoring system was developed based on the following factors: Glasgow Coma Scale (GCS) [GCS < 9 = 5, GCS 9-12 = 2, GCS > 12 = 0], age [< 60 = 0, 60 -80 = 1, > 80 = 2], increase in systolic arterial blood pressure >200 mmHg within the first 24 h after admission [no = 0, yes = 2], and white blood cell count > 11.000/mu l [no = 0, yes = 3]. The score revealed excellent discrimination (AUC = 0.85) and calibration (Nagelkerke's R-2 = 0.46) properties. Predictive properties were reproduced in an internal validation group. Conclusions - The PANTHERIS score is a simple scoring system for the prediction of SAP based on easy-to-assess parameters. By identifying patients at high risk, it may guide intense monitoring or prophylactic measures. This score needs to be validated within external datasets.
引用
收藏
页码:178 / 184
页数:7
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