Study on diagnostic value of procalcitonin and T cell subsets in infection after acute cerebral infarction
10.3969/j.issn.1671-8348.2017.26.015
- VernacularTitle:降钙素原及T细胞亚群对急性脑梗死后感染的诊断价值研究
- Author:
Lina MA
1
;
Xing LI
;
Dan YU
;
Liang WANG
;
Zhiping ZHOU
Author Information
1. 海南省海口市人民医院神经内科 570203
- Keywords:
calcitonin;
T-lymphocyte subsets;
acute disease;
brain infarction;
antigens,CD4;
antigens,CD8;
infection
- From:
Chongqing Medicine
2017;46(26):3644-3645,3648
- CountryChina
- Language:Chinese
-
Abstract:
Objective To study the diagnostic value of procalcitonin and T cell subsets in infection after acute cerebral infarction(ACI).Methods One hundred and twenty-two patients with ACI in our hospital from February 2015 to January 2016 were selected and divided into the infection group(60 cases) and non-infection group(62 cases) according to whether infection occurring.The systolic blood pressure,diastolic blood pressure,body temperature,NI H SS score,cerebral infarction location,procalcitonin,CD4 level,CD8 level were compared between the two groups.The Logistic regression analysis was performed.Results The NIHSS score in the infection group was (14.9 ± 5.7) points,which was significantly higher than (10.6-4-3.8) points in the non-infection group,the differences were statistically significant (P＜0.05).The number of pons infarction in the infection group accounted for 35.48 ％ (22/60),which was significantly higher than 17.74 ％ (11/62) in the non-infection group,the differences were statistically significant(P＜0.05).The procalcitoninl level in the infection group was significantly higher than that in the non-infection group,while the levels of CD4 and CD8 were significantly lower than those in the non-infection group,the differences were statistically significant (P＜0.05).The multivariate Logistic regression analysis showed that the risk factors affecting infection after cerebral infarction included pons infarction,NIHSS score,procalcitonin,CD4 and CD8 levels.Conclusion Detecting procalcitonin and T cell subsets in the patients with ACI in clinical work is conducive to predict the infection occurrence.
