血清血红蛋白清道夫受体可溶性CD163联合中性粒细胞与淋巴细胞比值预测卒中相关性肺炎患者预后的价值

Value of serum hemoglobin scavenger receptor soluble CD163 combined with neutrophil to lymphocyte ratio in predicting prognosis of patients with stroke-related pneumonia

  • 摘要:
      目的  探讨血清血红蛋白清道夫受体可溶性CD163(sCD163)联合中性粒细胞与淋巴细胞比值(NLR)预测卒中相关性肺炎(SAP)患者预后的价值。
      方法  回顾性分析2019年4月—2020年12月90例SAP患者的临床资料,根据改良Rankin量表(mRS)评分分为预后良好组(n=58)与预后不良组(n=32)。分析预后不良的相关影响因素,评估sCD163、NLR与肺炎严重指数(PSI)分级、美国国立卫生研究院卒中量表(NIHSS)评分、临床肺部感染评分(CPIS)、肺部感染严重程度(CURB-65)评分、C反应蛋白(CRP)、白细胞(WBC)计数的相关性。比较2组血清sCD163水平及NLR, 评估sCD163、NLR单独预测及联合预测SAP患者预后不良的价值。
      结果  单因素分析结果显示,预后不良组与预后良好组在年龄、PSI评分分级、NIHSS评分、CPIS评分、CURB-65评分、CRP、WBC方面比较,差异有统计学意义(P < 0.001)。二分类Logistic回归分析显示, PSI评分分级为Ⅳ~Ⅴ级、NIHSS评分≥20分、CPIS评分≥6分、CURB-65评分≥3分及CRP、WBC高表达是SAP患者预后不良的独立危险因素(P < 0.05)。预后不良组的血清sCD163、NLR高于预后良好组,差异有统计学意义(P < 0.001)。Spearman相关性分析结果显示, sCD163、NLR与PSI评分分级、NIHSS评分、CPIS评分、CURB-65评分呈显著正相关(P < 0.05或P < 0.01)。Pearson相关性分析结果显示, sCD163、NLR与CRP、WBC呈显著正相关(P < 0.001)。受试者工作特征(ROC)曲线显示, sCD163、NLR单独预测及联合预测SAP患者预后不良的曲线下面积(AUC)分别为0.910、0.867、0.915, P均 < 0.05。
      结论  SAP患者血清sCD163、NLR显著升高,尤其在预后不良患者中升高更为显著, sCD163与NLR联合检测预测SAP患者预后不良的价值较高。

     

    Abstract:
      Objective  To explore the value of serum hemoglobin scavenger receptor soluble CD163 (sCD163) combined with neutrophil to lymphocyte ratio (NLR) in predicting the prognosis of patients with stroke-related pneumonia (SAP).
      Methods  The clinical materials of 90 SAP patients from April 2019 to December 2020 were analyzed retrospectively, and they were divided into good prognosis group (n=58) and poor prognosis group (n=32) according to the score of modified Rankin Scale (mRS). The related factors of poor prognosis were analyzed, and correlations between sCD163, NLR and Pneumonia Severity Index (PSI) classification, the National Institutes of Health Stroke Scale (NIHSS) score, Clinical Pulmonary Infection Score (CPIS), the Confusion-Urea-Respiratory Rate-Blood pressure-65 (CURB-65) score, C-reactive protein (CRP) as well as white blood cell (WBC) count were evaluated. Serum sCD163 level and NLR were compared between the two groups, and the values of sCD163 alone, NLR alone and their combination in predicting the poor prognosis of SAP patients were evaluated. Univariate analysis showed that there were significant differences in age, PSI score and classification, NIHSS score, CPIS score, CURB-65 score, CRP and WBC between the poor prognosis group and the good prognosis group (P < 0.001). Binary Logistic regression analysis showed that PSI score and classification of grade Ⅳ to Ⅴ, NIHSS ≥20 scores, CPIS ≥6 scores, CURB-65 ≥3 scores and high expression of CRP and WBC were independent factors for poor prognosis in SAP patients (P < 0.05). The serum sCD163 and NLR in the poor prognosis group were significantly higher than those in the good prognosis group (P < 0.001). Spearman correlation analysis showed that sCD163 and NLR were significantly positively correlated with PSI score, NIHSS score, CPIS score and CURB-65 score (P < 0.05 or P < 0.01). Pearson correlation analysis showed that sCD163 and NLR were significantly positively correlated with CRP and WBC (P < 0.001). The receiver operating characteristic (ROC) curve showed that the area under the curve (AUC) of sCD163 alone, NLR alone and their combination in predicting the poor prognosis of SAP patients were 0.910, 0.867 and 0.915 respectively, and their P values were less than 0.05.
      Conclusion  Serum sCD163 and NLR increase obviously in SAP patients, especially significant in patients with poor prognosis. Combined detection of sCD163 and NLR has a high value in predicting poor prognosis of SAP patients.

     

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