ArticlePathogens (Basel, Switzerland)2021
Prediction of Treatment Outcome with Inflammatory Biomarkers after 2 Months of Therapy in Pulmonary Tuberculosis Patients: Preliminary Results.
Article in Pathogens (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.
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Who cites it
17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 21 citations in OpenAlex.
- CXCL9/CXCL10 as biomarkers the monitoring of treatment responses in Pulmonary TB patients: a systematic review and meta-analysis.BMC infectious diseases · 2024Pooled it
- Screening performance of C-reactive protein for active pulmonary tuberculosis in HIV-positive patients: A systematic review with a meta-analysis.Frontiers in immunology · 2022Pooled it
- Predicting unfavorable tuberculosis outcomes using machine learning: a prospective cohort.Tropical medicine and health · 2026Article
- Drug-disease interactions in inflammation: mechanisms, clinical Impact, and future directions.Inflammopharmacology · 2026Review
- The Predictive Value of Dynamic Changes in Procalcitonin and C-Reactive Protein in Evaluating Response of Patients with Pulmonary Tuberculosis in the Early Treatment.Infection and drug resistance · 2026Article
- Systemic Host Proteomic Signatures as Dynamic Markers for Monitoring Pulmonary Tuberculosis Treatment Response.Infection and drug resistance · 2026Review
- Hematochemical hallmarks as markers of pulmonary TB severity: A multicenter cross-sectional study.Journal of clinical tuberculosis and other mycobacterial diseases · 2025Article
- Clinical laboratory analytes and platelet-associated parameters as surrogate markers of subclinical inflammation in latent tuberculosis infection.Frontiers in immunology · 2025Article
- Clinical Utility of Monocyte-to-Lymphocyte Ratio and Prognostic Nutritional Index in Diagnosing Smear-Negative Pulmonary Tuberculosis with Negative IGRA Results.Infection and drug resistance · 2025Article
- Association between neutrophil-percentage-to-albumin ratio and diabetic kidney disease in type 2 diabetes mellitus patients: a cross-sectional study from NHANES 2009-2018.Frontiers in endocrinology · 2025Article
- A nomogram for predicting unfavorable outcomes of antituberculosis treatment among individuals with AIDS combined with pulmonary tuberculosis in China.Frontiers in immunology · 2025Article
- Machine learning-based predictive model for acute pancreatitis-associated lung injury: a retrospective analysis.Frontiers in medicine · 2025Article
- Article
- Association Between Indices of Peripheral Blood Inflammation and Cavitary Pulmonary Tuberculosis.International journal of general medicine · 2024Article
- Interpretations of the Role of Plasma Albumin in Prognostic Indices: A Literature Review.Journal of clinical medicine · 2023Review
- A clinical indicator-based prognostic model predicting treatment outcomes of pulmonary tuberculosis: a prospective cohort study.BMC infectious diseases · 2023Article
- Plasma host protein signatures correlating with Mycobacterium tuberculosis activity prior to and during antituberculosis treatment.Scientific reports · 2022Article
Corrections and comments
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Authors and funding
11 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pro-inflammatory mediators play an important role in the pathogenesis of pulmonary tuberculosis. Consecutively, 26 pulmonary tuberculosis patients were enrolled in our study based on the exclusion criteria. We have used Spearman's correlation analysis, hierarchical clustering and regression modelling to evaluate the association of 11 biomarkers with culture status after antituberculosis treatment. The results of our study demonstrated that six inflammatory biomarkers of 11, C-reactive protein (CRP), white blood cells (WBC), neutrophils, interferon gamma inducible protein 10, C-reactive protein (CRP) to albumin ratio (CAR) and neutrophil to albumin ratio (NAR), were significantly associated with culture negativity. The predictive ability of a composite model of seven biomarkers was superior to that of any single biomarker based on area under the receiver operating characteristic curve (AUC) analysis, indicating an excellent prediction efficacy (AUC:0.892; 95% CI:0.732-1.0). We also found that the highest significant trends and lower levels of CRP and IP-10 were observed in the two-month treated tuberculosis (TB) patients. We believe that our study may be valuable in providing preliminary results for an additional strategy in monitoring and management of the clinical outcome of pulmonary tuberculosis. Using a panel of predictors added a superior value in predicting culture status after anti-TB therapy.
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