血浆和肽素浓度对急性创伤性进展性出血性脑损伤的预测价值

目的探讨血浆和肽素浓度对急性创伤性进展性出血性脑损伤（PHI）的预测价值。 方法检测2012年1月至2015年1月收治的112例颅脑损伤患者（脑外伤组）和112例健康体检者（对照组）的血浆和肽素、胶质纤维酸性蛋白（GFAP）、髓鞘碱性蛋白（MBP）、神经元特异性烯醇化酶（NSE）、S100B、泛素羧基末端水解酶-1（UCH-L1）、神经丝蛋白H磷酸化亚型（pNF-H）和tau浓度，采用Pearson相关分析入院时格拉斯哥昏迷量表（GCS）评分与血浆和肽素、GFAP、MBP、NSE、S100B、UCH-L1、pNF-H和tau浓度的关系，并应用ROC曲线评价入院时GCS评分及血浆和肽素、GFAP、MBP、NSE、S100B、UCH-L1、pNF-H和tau浓度对PHI的预测价值。 结果脑外伤组患者血浆和肽素[（355 ± 124）pmol/L vs.（86 ± 30）pmol/L]、GFAP[（0.14 ± 0.05）pmol/L vs.（0.05 ± 0.03）pmol/L]、MBP[（0.61 ± 0.22）μmol/L vs.（0.23 ± 0.17）μmol/L]、NSE[（0.11 ± 0.04）nmol/L vs.（0.05 ± 0.03）nmol/L]、S100B[（15.5 ± 6.9）pmol/L vs.（2.6 ± 0.9）pmol/L]、UCH-L1[（66 ± 28）pmol/L vs.（10 ± 3）pmol/L]、pNF-H[（2.52 ± 0.71）pmol/L vs.（0.14 ± 0.11）pmol/L]和tau[（4.4 ± 1.6）pmol/L vs.（0.4 ± 0.3）pmol/L]浓度较对照组均显著升高（t=22.308、19.418、18.531、16.928、20.221、21.063、39.625、27.025，P均< 0.001）。入院时GCS评分与血浆和肽素、GFAP、MBP、NSE、S100B、UCH-L1、pNF-H和tau浓度均呈负相关性（r=-0.519、-0.478、-0.455、-0.422、-0.431、-0.408、-0.423、-0.421，P均< 0.001）。ROC曲线提示入院时GCS评分、血浆和肽素、GFAP、MBP、NSE、S100B、UCH-L1、pNF-H和tau浓度及对PHI均具有显著预测价值（P均< 0.05）；且血浆GFAP（Z=2.693，P=0.007）、MBP（Z=2.551，P=0.011）、NSE（Z=2.397，P=0.017）、S100B（Z=2.446，P=0.014）、UCH-L1（Z=2.558，P=0.011）、pNF-H（Z=3.050，P=0.002）和tau浓度（Z=2.597，P=0.009）的AUC均显著小于入院时GCS评分的AUC，而血浆和肽素浓度和GCS评分对PHI的预测价值比较，差异无统计学意义（Z=1.388，P=0.165）。 结论血浆和肽素浓度预测PHI具有较高的临床价值。

Predictive value of plasma copeptin for acute traumatic progressive hemorrhagic brain injury

ObjectiveTo investigate the predictive value of plasma copeptin for acute traumatic progressive hemorrhagic brain injury (PHI). MethodsA total of 112 craniocerebral trauma patients from January 2012 to January 2015 were enrolled as the trauma group, and 112 healthy people served as the control group at the same time. The levels of plasma copeptin, glial fibrillary acidic protein (GFAP), myelin basic protein (MBP), neuron specific enolase (NSE), S100B, ubiquitin carboxyl-terminal hydrolase L1 (UCH-L1), phosphorylated axonal neurofilament subunit H (pNF-H) and tau were detected and compared between the two groups. And the correlation between all above indices and Glasgow coma scale (GCS) scores were analyzed by Pearson correlation. The ROC was used to analyze the predictive value of these biomarkers and GCS scores for PHI. ResultsThe plasma copeptin [(355 ± 124) pmol/L vs. (86 ± 30) pmol/L], GFAP [(0.14 ± 0.05) pmol/L vs. (0.05 ± 0.03) pmol/L], MBP [(0.61 ± 0.22) μmol/L vs. (0.23 ± 0.17) μmol/L], NSE [(0.11 ± 0.04) nmol/L vs. (0.05 ± 0.03) nmol/L], S100B [(15.5 ± 6.9) pmol/L vs. (2.6 ± 0.9) pmol/L], UCH-L1 [(66 ± 28) pmol/L vs. (10 ± 3) pmol/L], pNF-H [(2.52 ± 0.71) pmol/L vs. (0.14 ± 0.11) pmol/L] and tau [(4.4 ± 1.6) pmol/L vs. (0.4 ± 0.3) pmol/L] concentrations in the trauma group were much higher than those in the control group (t=22.308, 19.418, 18.531, 16.928, 20.221, 21.063, 39.625, 27.025; all P<0.001). Pearson correlation showed that GCS scores were all negative related with plasma copeptin, GFAP, MBP, NSE, S100B, UCH-L1, pNF-H and tau concentrations (r=-0.519, -0.478, -0.455, -0.422, -0.431, -0.408, -0.423, -0.421, all P<0.001). The ROC presented that GCS scores, plasma copeptin, GFAP, MBP, NSE, S100B, UCH-L1, pNF-H and tau concentrations all had significant predictive value for PHI (all P<0.05), and the area under curve (AUC) of GFAP (Z=2.693, P=0.007), MBP (Z=2.551, P=0.011), NSE (Z=2.397, P=0.017), S100B (Z=2.446, P=0.014), UCH-L1 (Z=2.558, P=0.011), pNF-H (Z=3.050, P=0.002) and tau concentrations (Z=2.597, P=0.009) were markedly lower than AUC of GCS scores. However, there were no significant differences between the AUC of GCS scores and plasma copeptin (Z=1.388, P=0.165). ConclusionPlasma copeptin concentrations show high clinical value in predicting PHI.