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    罗兵, 孙敏捷, 霍星星, 徐元宏, 徐伟明. 肿瘤特异性生长因子在肺炎严重程度评估中的应用[J]. 蚌埠医科大学学报, 2020, 45(1): 98-101, 105. DOI: 10.13898/j.cnki.issn.1000-2200.2020.01.025
    引用本文: 罗兵, 孙敏捷, 霍星星, 徐元宏, 徐伟明. 肿瘤特异性生长因子在肺炎严重程度评估中的应用[J]. 蚌埠医科大学学报, 2020, 45(1): 98-101, 105. DOI: 10.13898/j.cnki.issn.1000-2200.2020.01.025
    shu
    LUO Bing, SUN Min-jie, HUO Xing-xing, XU Yuan-hong, XU Wei-ming. Application value of the tumor-specific growth factor in evaluating the severity of pneumonia[J]. Journal of Bengbu Medical University, 2020, 45(1): 98-101, 105. DOI: 10.13898/j.cnki.issn.1000-2200.2020.01.025
    Citation: LUO Bing, SUN Min-jie, HUO Xing-xing, XU Yuan-hong, XU Wei-ming. Application value of the tumor-specific growth factor in evaluating the severity of pneumonia[J]. Journal of Bengbu Medical University, 2020, 45(1): 98-101, 105. DOI: 10.13898/j.cnki.issn.1000-2200.2020.01.025
    shu

    肿瘤特异性生长因子在肺炎严重程度评估中的应用

    Application value of the tumor-specific growth factor in evaluating the severity of pneumonia

      摘要
    • 摘要:
      目的探讨肿瘤特异性生长因子（TSGF）在肺炎严重程度评估中的应用，并与其他已知标志物中性粒细胞（N）与淋巴细胞（L）比值（NLR）、超敏C反应蛋白（hs-CRP）、纤维蛋白原（FIB）比较。
      方法分析79例肺炎病人（肺炎组）及40名健康体检者（正常对照组）的临床资料和实验室指标，根据CURB-65评分系统将79例肺炎又分为低危肺炎组42例（CURB-65评分≤ 1）和中高危肺炎组37例（CURB-65评分≥ 2）。检测血清TSGF、hs-CRP、NLR、FIB，Pearson相关分析TSGF与NLR、hs-CRP、FIB之间的相关性，Spearman相关分析TSGF与CURB-65评分之间的相关性，logistic回归分析TSGF、NLR、hs-CRP、FIB、N、L、年龄、性别与肺炎是否严重的相关性，比较TSGF与NLR、hs-CRP、FIB的曲线下面积（AUC），评估其在肺炎诊断中的预测效能。
      结果肺炎病人的TSGF高于正常对照组（P < 0.05）；低危肺炎病人的TSGF高于正常对照组（P < 0.05），与低危肺炎病人相比，中高危肺炎病人的TSGF进一步升高（P < 0.05）；TSGF与hs-CRP、FIB、NLR及CURB-65评分呈正相关（P < 0.05）；诊断肺炎的ROC曲线中，TSGF的AUC大于NLR、hs-CRP、FIB（P < 0.05）；TSGF与肺炎严重风险提高相关（P < 0.01）。
      结论TSGF可能是评估肺炎严重程度的一种新的生物标志物，其快速、诊断效能高、易于分析检测，值得临床推广应用。

       

      Abstract:
      ObjectiveTo investigate the application value of tumor specific growth factor (TSGF) in evaluating the severity of pneumonia, and compare it with the neutrophil (N) -lymphocyte (L) ratio (NLR), hypersensitive C-reactive protein (hs-CRP) and fibrinogen (FIB).
      MethodsThe clinical data and laboratory index of 79 pneumonia patients from department of respiratory medicine (pneumonia group) and 40 physical examination people from the physical examination center (control group).According to the scoring system of CURB-65, 79 patients with pneumonia were subdivided into the low-risk pneumonia group (42 cases, CRUB-65 score ≤ 1) and medium-high risk pneumonia group (37 cases, CRUB-65 score ≥ 2).The serum levels of TSGF, hs-CRP, NLR and FIB were detected.The Pearson correlation analysis was used to analyze the correlations between TSGF, and NLR, hs-CRP and FIB, the Spearman correlation analysis was used to analyze the correlation between TSGF and CURB-65 score, and the logistic regression analysis was used to analyze the correlations between TSGF, NLR, hs-CRP, FIB, N, L, age and sex, and severity of pneumonia.The predictive efficacy of the comparison the area under the curve (AUC) of TSGF with NLR, hs-CRP and FIB in the diagnosis of pneumonia was evaluated.
      ResultsThe TSGF level in pneumonia patients was significantly higher than that in control group (P < 0.05), the TSGF in low-risk pneumonia patients was significantly higher than that in control group (P < 0.05), and the TSGF level in medium-high risk pneumonia group further increased compared with the low-risk pneumonia group (P < 0.05).The TSGF was positively correlated with the scores of hs-CRP, FIB, NLR and CRUB-65 score (P < 0.05).In the ROC curve for predict pneumonia, the AUC of TSGF was significantly greater than that of NLR, hs-CRP and FIB (P < 0.05).TSGF was significantly correlated with the risk of pneumonia severity increasing (P < 0.01).
      ConclusionsTSGF may be a new biomarker for evaluating the severity of pneumonia, which is rapid, with high diagnostic efficiency, easy to analyze, and worthy of clinical application.

       

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