Identification of Factors Determining Patterns of Serum C-Reactive Protein Level Reduction in Response to Treatment Initiation in Patients with Drug-Susceptible Pulmonary Tuberculosis
2024

Factors Affecting C-Reactive Protein Levels in Tuberculosis Treatment

Sample size: 42 publication 10 minutes Evidence: moderate

Author Information

Author(s): Kivrane Agnija, Ulanova Viktorija, Grinberga Solveiga, Sevostjanovs Eduards, Viksna Anda, Ozere Iveta, Bogdanova Ineta, Simanovica Ilze, Norvaisa Inga, Pahirko Leonora, Bandere Dace, Ranka Renate, Palmieri Fabrizio, Gualano Gina, Di Gennaro Francesco

Primary Institution: Riga Stradins University

Hypothesis

This study investigates how patient characteristics and anti-TB drug exposure influence serum C-reactive protein (CRP) levels during tuberculosis treatment.

Conclusion

Patient characteristics, such as body mass index and smoking status, influence early CRP reduction, but anti-TB drug exposure does not significantly affect this reduction.

Supporting Evidence

  • The median serum CRP level decreased from 21.9 to 6.4 mg/L after 10–12 days of treatment.
  • Lower body mass index and positive sputum-smear results were associated with higher CRP levels.
  • Smoking had a significant impact on CRP levels after treatment initiation.
  • Variability in anti-TB drug plasma exposure did not significantly affect CRP reduction.
  • 90.5% of patients were classified as cured by the end of treatment.

Takeaway

This study looked at how different factors affect a blood test result (CRP) that shows inflammation in tuberculosis patients after starting treatment. It found that things like weight and smoking matter, but the amount of medicine in the blood doesn't change the results much.

Methodology

The study enrolled 42 patients with drug-susceptible pulmonary TB and analyzed their serum CRP levels before and 10–12 days after treatment initiation, along with anti-TB drug plasma concentrations.

Potential Biases

Potential biases may arise from the retrospective nature of the study and the exclusion criteria limiting the sample population.

Limitations

The study had a limited sample size and did not account for minimal inhibitory concentration (MIC) data, which could affect the results.

Participant Demographics

The study included 42 patients, 81% of whom were male, with a mean age of 47 years.

Statistical Information

P-Value

p<0.001

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.3390/antibiotics13121216

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