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评价罗马尼亚肺结核患者强化期治疗后血液学特征的预后意义。

Evaluation of prognostic significance of hematological profiles after the intensive phase treatment in pulmonary tuberculosis patients from Romania.

机构信息

Clinical Analysis Laboratory, Clinical Emergency County Hospital Craiova, Craiova, Romania.

Department of Medical Genetics, University of Medicine and Pharmacy "Carol Davila", Bucharest, Romania.

出版信息

PLoS One. 2021 Apr 1;16(4):e0249301. doi: 10.1371/journal.pone.0249301. eCollection 2021.

Abstract

We evaluated in this cohort study the predictive ability of 23 peripheral blood parameters and ratios for treatment outcomes after the 2-month intensive phase in patients with PTB. In 63 patients out of 90 that turned culture negative, a significant decrease in white blood cell count, neutrophils, monocyte, hemoglobin, platelet, plateletcrit, erythrocyte sedimentation rate, MLR, NLR, PLR and SII values after anti-TB therapy compared to pretreatment was observed (p <0.001). Logistic regression analysis generated a model of predictors consisting of nine covariates. Spearman's correlation analysis revealed significant positive correlations between NLR with NEU (r = 0.79, p<0.01), SII with NEU (r = 0.846, p<0.01), PLT with SII (r = 0.831, p<0.01), PLT with PCT (r = 0.71, p<0.01) and MPV with P-LCR (r = 0,897, p<0.01) in 63 patients out of 90 that turned culture negative after 2 months of treatment. ROC curve analysis indicated that all areas under the curve (AUC) revealed no statistically significant results, except lymphocyte for culture conversion. In summary, here we observed a set of hematological parameters that declined significantly as the disease was treated in patients that turned culture negative. Despite some limitations, our findings are useful for further studies aiming to identify hematological profiles that could predict the treatment outcome.

摘要

我们在这项队列研究中评估了 23 个外周血参数和比值在经过 2 个月强化期治疗后对肺结核患者治疗结果的预测能力。在 90 例培养转阴的患者中,有 63 例患者在抗结核治疗后与治疗前相比,白细胞计数、中性粒细胞、单核细胞、血红蛋白、血小板、血小板压积、红细胞沉降率、MLR、NLR、PLR 和 SII 值显著下降(p<0.001)。Logistic 回归分析生成了一个由 9 个协变量组成的预测因子模型。Spearman 相关分析显示 NLR 与 NEU(r = 0.79,p<0.01)、SII 与 NEU(r = 0.846,p<0.01)、PLT 与 SII(r = 0.831,p<0.01)、PLT 与 PCT(r = 0.71,p<0.01)和 MPV 与 P-LCR(r = 0.897,p<0.01)之间存在显著正相关在 90 例培养转阴的患者中。ROC 曲线分析表明,除淋巴细胞外,所有曲线下面积(AUC)均无统计学意义。总之,我们观察到一组在疾病治疗过程中明显下降的血液学参数,这些参数在培养转阴的患者中。尽管存在一些局限性,但我们的研究结果对于进一步研究旨在确定可能预测治疗结果的血液学特征是有用的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd03/8016233/8919df8e83cf/pone.0249301.g001.jpg

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