| Literature DB >> 27757207 |
Babak Bakhshayesh-Eghbali1, Seyed-Ali Roudbary1, Seddigheh Basir Jafari1, Seyedeh-Parand Nabizadeh1, Naghmeh Naderi-Asrami1, Reza Sohrabnejad2.
Abstract
BACKGROUND: Stroke is one of the leading causes of mortality and long-term morbidity. The aim of the present study was to determine the ability of baseline serum C-reactive protein (CRP) and white blood cell count (WBC) values in predicting the outcome of acute ischemic stroke (AIS).Entities:
Keywords: C reactive protein; Ischemic Stroke; Prognosis. Outcome; White blood cell count
Year: 2016 PMID: 27757207 PMCID: PMC5062180
Source DB: PubMed Journal: Caspian J Intern Med ISSN: 2008-6164
Baseline characteristics of patients (n=102)
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|---|---|---|---|
| Age | 65.388±11.800 | 73.245±11.261 | 0.001 |
| Gender | |||
| Male | 23 (46.9) | 20 (37.7) | 0.347 |
| Female | 26 (53.1) | 33 (62.3) | |
| Smoker | 12 (24.5) | 15 (28.3) | 0.663 |
| Chronic disease | |||
| Ischemic heart disease | 7 (14.3) | 20 (37.7) | 0.007 |
| Diabetes | 17 (34.7) | 26 (49.1) | 0.142 |
| Hypertension | 32 (65.3) | 44 (83) | 0.040 |
| Dyslipidemia | 17 (34.7) | 28 (52.8) | 0.065 |
| GCS at admission | |||
| 15 | 46 (93.9) | 29 (54.7) | <0.001 |
| 10-14 | 2 (4.1) | 11 (20.8) | |
| <10 | 1 (2) | 13 (24.5) | |
| NIHSS at admission | |||
| Mild | 31 (63.3) | 16 (30.2) | 0.003 |
| Moderate | 5 (10.2) | 13 (24.5) | |
| Severe | 13 (26.5) | 24 (45.3) | |
| CRP | 9.95±12.85 | 35.90±28.85 | <0.001 |
GCS, Glasgow coma score. National Institute of Health Stroke Scale (NIHSS). CRP, C reactive protein
Predictors for poor outcome in multiple logistic regression analysis (adjusted for chronic diseases
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| WBC count at admission | 1.043 (0.872-1.247) |
| CRP | 1.041 (1.011-1.071) |
| Age | 1.056 (1.009-1.106) |
| GCS<15 at admission | 8.007 (1.796-35.704) |
| NIHSS at admission | |
| Mild | reference |
| Moderate | 2.356 (0.739-7.516) |
| Severe | 4.553 (1.074-19.298) |
Figure 1Receiver operative characteristic curve analysis for calculating the most appropriate cut-off point of CRP and WBC count for predicting poor outcome (AUC for CRP:0.777, 95%CI:0.686-0.867 and AUC for WBC count: 0.607, 95%CI:0.497-0.717
Figure 2Receiver operative characteristic curve analysis for calculating the most appropriate cutoff point of CRP and WBC count for predicting mortality (AUC for CRP:0.743, 95%CI:0.636-0.850 and AUC for WBC count:0.675, 95%CI:0.558-0.792)