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采用影像学表现和痰分枝杆菌负荷综合方法预测利福平敏感型肺结核治疗反应不良的因素。

Predictors of unfavorable responses to therapy in rifampicin-sensitive pulmonary tuberculosis using an integrated approach of radiological presentation and sputum mycobacterial burden.

机构信息

Department of Clinical Research, National Institute for Research in Tuberculosis (formerly Tuberculosis Research Centre), Indian Council of Medical Research, Chennai, Tamil Nadu, India.

Department of Thoracic Medicine, Government Hospital of Thoracic Medicine Tambaram, Chennai, Tamil Nadu, India.

出版信息

PLoS One. 2021 Sep 20;16(9):e0257647. doi: 10.1371/journal.pone.0257647. eCollection 2021.

Abstract

INTRODUCTION

Despite the exalted status of sputum mycobacterial load for gauging pulmonary tuberculosis treatment and progress, Chest X-rays supplement valuable information for taking instantaneous therapeutic decisions, especially during the COVID-19 pandemic. Even though literature on individual parameters is overwhelming, few studies have explored the interaction between radiographic parameters denoting severity with mycobacterial burden signifying infectivity. By using a sophisticated approach of integrating Chest X-ray parameters with sputum mycobacterial characteristics, evaluated at all the three crucial time points of TB treatment namely pre-treatment, end of intensive phase and completion of treatment, utilizing the interactive Cox Proportional Hazards model, we aimed to precisely deduce predictors of unfavorable response to TB treatment.

MATERIALS AND METHOD

We extracted de-identified data from well characterized clinical trial cohorts that recruited rifampicin-sensitive Pulmonary TB patients without any comorbidities, taking their first spell of anti-tuberculosis therapy under supervision and meticulous follow up for 24 months post treatment completion, to accurately predict TB outcomes. Radiographic data independently obtained, interpreted by two experienced pulmonologists was collated with demographic details and, sputum smear and culture grades of participants by an independent statistician and analyzed using the Cox Proportional Hazards model, to not only adjust for confounding factors including treatment effect, but also explore the interaction between radiological and bacteriological parameters for better therapeutic application.

RESULTS

Of 667 TB patients with data available, cavitation, extent of involvement, lower zone involvement, smear and culture grade at baseline were significant parameters predisposing to an unfavorable TB treatment outcome in the univariate analysis. Reduction in radiological lesions in Chest X-ray by at least 50% at 2 months and 75% at the end of treatment helped in averting unfavorable responses. Smear and Culture conversion at the end of 2 months was highly significant as a predictor (p<0.001). In the multivariate analysis, the adjusted hazards ratios (HR) for an unfavorable response to TB therapy for extent of involvement, baseline cavitation and persistence (post treatment) were 1.21 (95% CI: 1.01-1.44), 1.73 (95% CI: 1.05-2.84) and 2.68 (95% CI: 1.4-5.12) respectively. A 3+ smear had an HR of 1.94 (95% CI: 0.81-4.64). Further probing into the interaction, among patients with 3+ and 2+ smears, HRs for cavitation were 3.26 (95% CI: 1.33-8.00) and 1.92 (95% CI: 0.80-4.60) while for >2 zones, were 3.05 (95% CI: 1.12-8.23) and 1.92 (95% CI: 0.72-5.08) respectively. Patients without cavitation, zonal involvement <2, and a smear grade less than 2+ had a better prognosis and constituted minimal disease.

CONCLUSION

Baseline Cavitation, Opacities occupying >2 zones and 3+ smear grade individually and independently forecasted a poorer TB outcome. The interaction model revealed that Zonal involvement confined to 2 zones, without a cavity and smear grade up to 2+, constituting "minimal disease", had a better prognosis. Radiological clearance >50% along with smear conversion at the end of intensive phase of treatment, observed to be a reasonable alternative to culture conversion in predicting a successful outcome. These parameters may potentially take up key positions as stratification factors for future trials contemplating on shorter TB regimens.

摘要

简介

尽管痰分枝杆菌负荷量在评估肺结核治疗和进展方面具有崇高地位,但 X 光胸片为即时治疗决策提供了有价值的信息,特别是在 COVID-19 大流行期间。尽管有关个别参数的文献很多,但很少有研究探讨表示传染性的分枝杆菌负荷与表示严重程度的放射参数之间的相互作用。通过使用一种复杂的方法,将痰分枝杆菌特征与 X 光胸片参数相结合,在治疗的三个关键时间点(治疗前、强化期结束和治疗完成时)进行评估,利用交互 Cox 比例风险模型,我们旨在准确推断出对结核病治疗反应不利的预测因素。

材料和方法

我们从特征明确的临床试验队列中提取了去识别数据,这些队列招募了没有合并症的利福平敏感型肺结核患者,在监督和细致随访下接受首次抗结核治疗,随访时间为治疗完成后 24 个月,以准确预测结核病结局。由两名经验丰富的肺病专家独立获取和解释的放射学数据与人口统计学细节以及参与者的痰涂片和培养等级由独立的统计学家进行整理,并使用 Cox 比例风险模型进行分析,不仅可以调整治疗效果等混杂因素,还可以探索放射学和细菌学参数之间的相互作用,以更好地进行治疗应用。

结果

在 667 名有数据的结核病患者中,空洞、病变范围、下叶受累、基线时的痰涂片和培养等级在单因素分析中是导致结核病治疗结局不利的显著参数。在 2 个月和治疗结束时,胸部 X 光片上的放射病变减少至少 50%和 75%有助于避免不利反应。2 个月时痰涂片和培养的转换是一个高度显著的预测因素(p<0.001)。在多因素分析中,病变范围、基线空洞和持续存在(治疗后)对结核病治疗反应不利的调整后的危险比(HR)分别为 1.21(95%CI:1.01-1.44)、1.73(95%CI:1.05-2.84)和 2.68(95%CI:1.4-5.12)。3+ 痰涂片的 HR 为 1.94(95%CI:0.81-4.64)。进一步探讨相互作用,在 3+ 和 2+ 痰涂片的患者中,空洞的 HR 分别为 3.26(95%CI:1.33-8.00)和 1.92(95%CI:0.80-4.60),而对于>2 个区,分别为 3.05(95%CI:1.12-8.23)和 1.92(95%CI:0.72-5.08)。没有空洞、病变区<2 个、痰涂片等级<2+的患者预后较好,构成最小疾病。

结论

基线空洞、占据>2 个区的阴影和 3+的痰涂片等级单独和独立地预测了较差的结核病结局。交互模型显示,局限于 2 个区的区域受累、无空洞和涂片等级达 2+以下的“最小疾病”具有较好的预后。在强化治疗阶段结束时,放射学清除率>50%以及痰涂片的转换,被观察到是预测成功结局的合理替代方法,而不是培养转换。这些参数可能在考虑较短的结核病方案的未来试验中作为分层因素占据重要地位。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1332/8452066/bd52c294556a/pone.0257647.g001.jpg

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