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- Title
The association between high-sensitivity C-reactive protein at admission and progressive motor deficits in patients with penetrating artery infarctions.
- Authors
Gong, Pengyu; Liu, Yukai; Huang, Ting; Chen, Wenxiu; Jiang, Teng; Gong, Yachi; Lu, Min; Wang, Meng; Zhang, Yingdong; Zhang, Xiaohao; Deng, Qiwen; Zhou, Junshan
- Abstract
<bold>Background: </bold>A fraction of patients with penetrating artery infarction (PAI) experience progressive motor deficit deterioration (PMD). We sought to investigate the role of high-sensitivity C-reactive protein (hs-CRP) at admission in predicting PMD.<bold>Methods: </bold>From January 2015 to September 2018, consecutive patients with PAI from three centers were prospectively enrolled in this study. PMD was defined as worsening of motor function score by ≥1 point on the National Institutes of Health Stroke Scale during the first 5 days after admission. Multivariable logistic regression analyses were performed to explore the relationship between hs-CRP and PMD in patients with PAI. We also performed receiver operating characteristic curve analysis and constructed a nomogram to assess the overall discriminative ability of hs-CRP in predicting PMD.<bold>Results: </bold>We ultimately included 544 patients (mean age, 65.4 ± 11.8 years). A total of 85 (15.6%) patients were identified to have PMD. Multivariate logistic regression analysis showed that hs-CRP was independently associated with PMD (P = 0.001). The optimal cutoff value for hs-CRP as a predictor for PMD was 3.48 mg/L, with a sensitivity of 73.64% and a specificity of 82.35% (area under curve, 0.792). Moreover, the nomogram we constructed indicated that higher level of hs-CRP was an indicator of PMD (c-index = 0.780, P < 0.001).<bold>Conclusions: </bold>Our study suggested that hs-CRP might be a useful biomarker for predicting the risk of PMD in patients with PAI.
- Subjects
NATIONAL Institutes of Health (U.S.); C-reactive protein; RECEIVER operating characteristic curves; INFARCTION; LOGISTIC regression analysis
- Publication
BMC Neurology, 2019, Vol 19, Issue 1, p1
- ISSN
1471-2377
- Publication type
journal article
- DOI
10.1186/s12883-019-1538-5