• 中国科学论文统计源期刊
  • 中国科技核心期刊
  • 美国化学文摘(CA)来源期刊
  • 日本科学技术振兴机构数据库(JST)

临床输血与检验 ›› 2022, Vol. 24 ›› Issue (4): 488-496.DOI: 10.3969/j.issn.1671-2587.2022.04.015

• 临床研究 • 上一篇    下一篇

γ-干扰素释放试验联合FadD9重组蛋白对重症肺结核患者的诊断及死亡预后的预测价值

刘静, 李龙, 马喜迎   

  1. 710110 陕西省结核病防治院内三科(刘静); 西安市儿童医院(李龙); 陕西省结核病防治院中西医结合科(马喜迎)
  • 收稿日期:2022-01-05 出版日期:2022-08-20 发布日期:2022-08-19
  • 作者简介:刘静(1983-),女,陕西渭南人,主治医师,本科,主要从事结核病诊断和治疗,(E-mail)1010147179@qq.com。

Diagnostic and Prognostic Value of Interferon-Gamma Release Assay Combined with FadD9 Recombinant Protein in Patients with Severe Pulmonary Tuberculosis

LIU Jing, LI Long, MA Xi-ying   

  1. Department 3,Shaanxi Provincial Tuberculosis Prevention and Control Institute 710100
  • Received:2022-01-05 Online:2022-08-20 Published:2022-08-19

摘要: 目的 探讨γ-干扰素释放试验(IGRA)联合FadD9重组蛋白对重症肺结核患者的诊断及死亡预后的预测价值。方法 选取2018年1月~2021年2月我院收治的127例重症肺结核患者(重症肺结核组),74例非重症肺结核患者(非重症肺结核组),选取同期与结核病患者有1年以上密切接触史的患者36例(密接组)及我院体检健康者92例(对照组)。从美国国立生物技术信息中心网站上获取fadD9基因序列(基因ID:888574),制备和鉴定FadD9重组蛋白,评估其免疫原性、特异性抗体水平及其临床血浆样本中的细胞免疫水平。记录并统计重症肺结核患者预后,并依据预后死亡情况分为存活组(93例)和死亡组(34例);比较存活组和死亡组患者的一般临床资料。采用Cox比例风险回归筛选出影响重症肺结核患者死亡的危险因素,纳入并建立Nomogram预测模型,计算一致性指数(C-index)。分别使用ROC、校准曲线、临床决策曲线对Nomogram预测模型进行区分度、校准度和临床有效性进行评价。结果 与阳性参照抗原Ag85A蛋白相比,FadD9重组蛋白的A值变化与其基本一致,且均高于阴性对照组。FadD9重组蛋白的血清抗体滴度达1∶12 800。FadD9免疫组IL-2、TNF-α和IFN-γ水平分别为126.95、225.87、395.92 pg/mL,三者比例为1.00∶1.78∶3.12。重症肺结核组抗FadD9抗体水平明显高于对照组和密接组,差异有统计学意义(P<0.001)。BMI、APACHE Ⅱ、呼吸衰竭、COPD、肺心病、器官损害、肺部感染、多重耐药结核菌、低血清白蛋白浓度、IGRA、FadD9重组蛋白抗体水平均是重症肺结核患者死亡的危险因素(P<0.05)。构建的Nomogram模型的C-index为0.742(95%CI:0.684~0.845)。Nomogram模型的曲线下面积为0.802(95%CI:0.764~0.840),灵敏度、特异度及约登指数分别为85.42%、74.05%和0.595,具有较高的预测效能。整体上看Nomogram模型预测重症肺结核患者死亡的准确度和有效性均较好。FadD9重组蛋白诊断重症肺结核的曲线下面积为0.748,最佳临界值为0.352,敏感性为97.33%,特异性为72.51%。结论 IGRA可有效诊断重症肺结核,FadD9重组蛋白可作为IGRA新型抗原组合的候选成分,用于诊断重症肺结核的敏感性较高。本研究构建的Nomogram模型在一定程度上可作为临床重症肺结核患者死亡预后辅助预测工具。

关键词: 重症肺结核, γ-干扰素释放试验, FadD9重组蛋白, 诊断, 死亡预后, 预测价值

Abstract: Objective To analyze the value of interferon-gamma release assay(IGRA)combined with FadD9 recombinant protein in the diagnosis and prognosis of severe pulmonary tuberculosis(SPT). Methods 127 and 74 patients treated in our hospital from January 2018 to February 2021 were included in the SPT and non-SPT groups. Besides,36 patients with more than one year of close contact with tuberculosis patients were assigned into the close contact group, and 92 healthy subjects into the control group during the same period in our hospital. The fadD9 gene sequence(gene ID:888574)was obtained from the website of the National Biotechnology Information Center of the United States,and the recombinant FadD9 protein was prepared,with its immunogenicity,specific antibody level and cellular immunity in clinical plasma samples evaluated. Based on the prognosis of SPT patients we recorded and counted,the patients were divided into the survival group(n=93) and the death group(n=34),and the general clinical data of the two groups were compared. The risk factors affecting the death of patients with SPT were screened by Cox proportional hazard regression,the Nomogram prediction model was established, and the consistency index(C-index)was calculated. The ROC,calibration curve and clinical decision curve were used to evaluate the differentiation,calibration and clinical effectiveness of the Nomogram prediction model.Results Similar to the positive reference antigen Ag85A protein,the A value of FadD9 recombinant protein was higher than that of the negative control group. The serum antibody titer of the recombinant FadD9 protein was 1∶12 800. The levels of IL-2,TNF- α and IFN- γ in FadD9 immunized group were 126.95,225.87 and 395.92 pg/mL,respectively. The level of anti-FadD9 antibody in the SPT group was significantly higher than that in the close group and control group,the difference being statistically significant(P<0.001). BMI,APACHE Ⅱ,COPD,pulmonary infection,respiratory failure,cor pulmonale,organ damage,multidrug resistant tuberculosis,hypoalbuminemia,IGRA and FadD9 recombinant protein antibody levels were independent risk factors for death in SPT patients(P<0.05). The C-index of the constructed Nomogram model was 0.742(95% CI:0.684~0.845),the AUC of the Nomogram model was 0.802(95% CI:0.764~0.840),and the sensitivity,specificity and Yoden index were 85.42%,74.05% and 0.595. On the whole,the accuracy and effectiveness of Nomogram model in predicting the death of SPT patients were found to be satisfactory. The area under the curve of FadD9 recombinant protein for the diagnosis of severe pulmonary tuberculosis was 0.748, the best critical value was 0.352,the sensitivity was 97.33%, and the specificity was 72.51%.Conclusion IGRA seems to be effective in the diagnosis of SPT,with FadD9 recombinant protein serving as a candidate component of a new antigen combination of IGRA,which has high sensitivity in the diagnosis of SPT. To some extent,the Nomogram model constructed in this study could be used as an auxiliary tool for predicting the prognosis of death in SPT patients.

Key words: Severe pulmonary tuberculosis, IGRA, FadD9 recombinant protein, Diagnosis, Death prognosis, Predictive value

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