PLoS ONE (Jan 2021)

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

  • Narendran Gopalan,
  • Vignes Anand Srinivasalu,
  • Ponnuraja Chinnayan,
  • Banurekha Velayutham,
  • Adhin Bhaskar,
  • Ramesh Santhanakrishnan,
  • Thirumaran Senguttuvan,
  • Sridhar Rathinam,
  • Mahilmaran Ayyamperumal,
  • Kumar Satagopan,
  • Dhanalakshmi Rajendran,
  • Tamizhselvan Manoharan,
  • Sekar Lakshmanan,
  • Paulkumaran Paramasivam,
  • Dhanalakshmi Angamuthu,
  • Mangalambal Ganesan,
  • John Washington Easudoss Arockia,
  • Ramesh Babu Venkatesan,
  • Venkatesan Lakshmipathy,
  • Shivakumar Shanmugham,
  • Balaji Subramanyam,
  • Shakila Shankar,
  • Jawahar Mohideen Shaheed,
  • Baskaran Dhanaraj,
  • Narayanan Paranji Ramiyengar,
  • Soumya Swaminathan,
  • Padmapriyadarsini Chandrasekaran

DOI
https://doi.org/10.1371/journal.pone.0257647
Journal volume & issue
Vol. 16, no. 9
p. e0257647

Abstract

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IntroductionDespite 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 methodWe 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.ResultsOf 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 (p2 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 ConclusionBaseline 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.