Pre-treatment blood cell counts and inflammatory markers predict the radiologic severity of post-tuberculosis lung disease

Patients with pulmonary tuberculosis (TB) achieve microbiological cures following anti-TB treatment; however, post-tuberculosis lung disease (PTLD) persists in some. This study aimed to evaluate whether pre-treatment blood cell count indicators and inflammatory markers could predict the radiologic severity of PTLD. Overall, 169 patients with pulmonary TB diagnosed at Beijing Chest Hospital were prospectively enrolled. Baseline data were recorded and chest computed tomography (CT) images after the completion of anti-TB treatment were scored from 0 to 24 using a validated system. Patients were classified into mild and severe lung damage groups according to the median value of post-treatment chest CT score. Linear regression and logistic regression analyses were performed to assess the association between baseline inflammatory markers and post-treatment radiologic severity. The overall mean age was 39.34 ± 15.37 years; 72.8% were men and 49.7% had a smoking history. The median CT score at the treatment end was 9 (interquartile range: 6–15). Significant positive correlations were observed between post-treatment CT scores and baseline erythrocyte sedimentation rate (ESR) (β = 0.040), high-sensitivity C-reactive protein (hs-CRP) (β = 0.030), white blood cell (WBC) count (β = 0.269), neutrophil percentage (β = 0.121) and count (β = 0.330), monocyte count (β = 4.169), and neutrophil-to-lymphocyte ratio (NLR) (β = 0.272). Negative correlations were identified with hemoglobin (Hb) (β = -0.070) and lymphocyte percentage (β = -0.138). Multivariable logistic regression confirmed the predictors. Pre-treatment ESR, hs-CRP, WBC count, Hb, neutrophil percentage and count, lymphocyte percentage, monocyte count and NLR are predictive of post-treatment radiologic severity. These findings highlight the potential for using readily available clinical markers to identify high-risk patients and guide personalized management strategies.

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Publication Details

Journal
BMC Infectious Diseases
Published
2025-10-22
DOI
https://doi.org/10.1186/s12879-025-11782-w
Citations
1
Primary Topic
Tuberculosis Research and Epidemiology
Type
article
Field-Weighted Citation Impact
1.40

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article

Pre-treatment blood cell counts and inflammatory markers predict the radiologic severity of post-tuberculosis lung disease

Yu Pang, Zunlai Sheng, Xiaoyan Gai, Mengqiu Gao et al.
1 citations
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article

Pre-treatment blood cell counts and inflammatory markers predict the radiologic severity of post-tuberculosis lung disease

Yu Pang, Zunlai Sheng, Xiaoyan Gai, Mengqiu Gao, D. Li, Yafei Rao, Yue Zhang, Zihan Wang, Liang Li, Jingge Qu, Yuqiang Pei, Yongchang Sun
article en
1 citations

Abstract

Patients with pulmonary tuberculosis (TB) achieve microbiological cures following anti-TB treatment; however, post-tuberculosis lung disease (PTLD) persists in some. This study aimed to evaluate whether pre-treatment blood cell count indicators and inflammatory markers could predict the radiologic severity of PTLD. Overall, 169 patients with pulmonary TB diagnosed at Beijing Chest Hospital were prospectively enrolled. Baseline data were recorded and chest computed tomography (CT) images after the completion of anti-TB treatment were scored from 0 to 24 using a validated system. Patients were classified into mild and severe lung damage groups according to the median value of post-treatment chest CT score. Linear regression and logistic regression analyses were performed to assess the association between baseline inflammatory markers and post-treatment radiologic severity. The overall mean age was 39.34 ± 15.37 years; 72.8% were men and 49.7% had a smoking history. The median CT score at the treatment end was 9 (interquartile range: 6–15). Significant positive correlations were observed between post-treatment CT scores and baseline erythrocyte sedimentation rate (ESR) (β = 0.040), high-sensitivity C-reactive protein (hs-CRP) (β = 0.030), white blood cell (WBC) count (β = 0.269), neutrophil percentage (β = 0.121) and count (β = 0.330), monocyte count (β = 4.169), and neutrophil-to-lymphocyte ratio (NLR) (β = 0.272). Negative correlations were identified with hemoglobin (Hb) (β = -0.070) and lymphocyte percentage (β = -0.138). Multivariable logistic regression confirmed the predictors. Pre-treatment ESR, hs-CRP, WBC count, Hb, neutrophil percentage and count, lymphocyte percentage, monocyte count and NLR are predictive of post-treatment radiologic severity. These findings highlight the potential for using readily available clinical markers to identify high-risk patients and guide personalized management strategies.

BMC Infectious DiseasesVol. 25(1)
Capital Medical University (CN), Peking University (CN), Beijing Chest Hospital (CN), Peking University Third Hospital (CN)
Peking University, Peking University Third Hospital, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 15%
Tuberculosis Research and Epidemiology
1.40
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