Assessment of Complete Blood Count-Derived Marker Association With Pulmonary Tuberculosis Severity and Treatment Response

Research output: Contribution to journalMeeting Abstractpeer-review


Background. Recent studies have demonstrated the utility of non-specific baseline cell count-derived markers, including thrombocyte-lymphocyte ratio (TLR), neutrophil-lymphocyte ratio (NLR), and monocyte-lymphocyte ratio (MLR), in differentiating site and form of tuberculosis and predicting treatment outcome. Currently, newly diagnosed pulmonary tuberculosis (PTB) patients are subjected to a standard 6-month treatment regimen, and early identification of patients with severe PTB and increased risk of delayed treatment response would be beneficial.
Aim. To investigate the association of baseline TLR, NLR, and MLR with disease severity and treatment response in patients with newly diagnosed PTB.
Methods. The clinical data was extracted from medical records of otherwise healthy patients with active PTB (n=33) admitted to the Riga East Clinical University Hospital, Centre of Tuberculosis and Lung Diseases. The chest
radiography findings were used to assess the severity of the disease before treatment initiation. Baseline markers were calculated using absolute cell counts (×109/L) from complete blood count analysis of peripheral blood samples. Time to sputum culture conversion (tSCC) was available for 22 out of 33 patients and used as a treatment response marker. Data analysis was performed using IBM SPSS Statistics 25 software.
Results. Overall, patients with bilateral pulmonary lesions had significantly higher TLR, NLR and MLR than those with unilateral lesions (median 96 vs 176; 1.7 vs 3.3, and 0.3 vs 0.4, Mann-Whitney, pConclusion. The selected baseline markers were associated with different chest radiological findings characterising the extent of PTB. Moreover, NLR appeared to be a promising prognostic marker of treatment response. Further studies are required to evaluate the performance of these markers for discrimination
between different grades of PTB severity and for prediction of delayed tSCC.
Acknowledgements. The authors declare that they have no conflicts of interest. This study was supported by the Latvian Council of Science, project No. lzp-2020/1-0050.

Field of Science*

  • 3.1 Basic medicine
  • 3.2 Clinical medicine

Publication Type*

  • 3.4. Other publications in conference proceedings (including local)


Dive into the research topics of 'Assessment of Complete Blood Count-Derived Marker Association With Pulmonary Tuberculosis Severity and Treatment Response'. Together they form a unique fingerprint.

Cite this