Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2023 Dec;20(12):1760-1768.
doi: 10.1513/AnnalsATS.202302-144OC.

Early Microbiologic Markers of Pulmonary Tuberculosis Treatment Outcomes

Affiliations

Early Microbiologic Markers of Pulmonary Tuberculosis Treatment Outcomes

Mandar Sudhir Paradkar et al. Ann Am Thorac Soc. 2023 Dec.

Abstract

Rationale: Earlier biomarkers of pulmonary tuberculosis (PTB) treatment outcomes are critical to monitor shortened anti-TB treatment (ATT). Objectives: To identify early microbiologic markers of unfavorable TB treatment outcomes. Methods: We performed a subanalysis of 2 prospective TB cohort studies conducted from 2013 to 2019 in India. We included participants aged ⩾18 years who initiated 6-month ATT for clinically or microbiologically diagnosed drug-sensitive PTB and completed at least one follow-up visit. Sputum specimens were subjected to a baseline Xpert Mycobacterium tuberculosis/rifampin (MTB/RIF) assay, acid-fast bacilli (AFB) microscopy and liquid and solid cultures, and serial AFB microscopy and liquid and solid cultures at weeks 2, 4, and 8. Poisson regression was used to assess the impact of available microbiologic markers (test positivity, smear grade, time to detection, and time to conversion) on a composite outcome of failure, recurrence, or death by 18 months after the end of treatment. Models were adjusted for age, sex, nutritional status, diabetes, smoking, alcohol consumption, and regimen type. Results: Among 1,098 eligible cases, there were 251 (22%) adverse TB treatment outcomes: 127 (51%) treatment failures, 73 (29%) recurrences, and 51 (20%) deaths. The primary outcome was independently associated with the Xpert MTB/RIF assay (medium-positive adjusted incidence rate ratio [aIRR], 1.91; 95% confidence interval [CI], 1.07-3.40; high-positive aIRR, 2.51; 95% CI, 1.41-4.46), positive AFB smear (aIRR, 1.48; 95% CI, 1.06-2.06), and positive liquid culture (aIRR, 1.98; 95% CI, 1.21-3.23) at baseline; Week 2 positive liquid culture (aIRR, 1.47; 95% CI, 1.04-2.09); and Week 8 positive AFB smear (aIRR, 1.63; 95% CI, 1.06-2.50) and positive liquid culture (aIRR, 1.54; 95% CI, 1.07-2.22). There was no evidence of Mycobacterium tuberculosis growth in the Mycobacterium Growth Indicator Tube at Week 4 conferring a higher risk of adverse outcomes (aIRR, 1.25; 95% CI, 0.89-1.75). Conclusions: Our analysis identifies Week 2 respiratory mycobacterial culture as the earliest microbiologic marker of unfavorable PTB treatment outcomes.

Keywords: PTB; microbiologic markers; treatment outcomes.

PubMed Disclaimer

Figures

Figure 1.
Figure 1.
Study flow of adults with pulmonary tuberculosis enrolled in the parent cohort studies conducted in India from 2013 to 2019. The subanalysis included 1,098 participants with drug-sensitive microbiologically confirmed or clinically diagnosed pulmonary tuberculosis who completed at least one follow-up visit. Microbiologic confirmation was defined by an Xpert MTB/RIF assay, acid-fast bacilli microscopy, liquid Mycobacterium Growth Indicator Tube culture, or solid Löwenstein-Jensen culture positivity. AFB = acid-fast bacilli; DSTB = drug-sensitive tuberculosis; LJ = Löwenstein-Jensen; MDR = multidrug-resistant; MGIT = Mycobacterium Growth Indicator Tube; MTB = Mycobacterium tuberculosis; RIF = rifampicin; TB = tuberculosis.
Figure 2.
Figure 2.
(A) Forest plot summarizing associations between baseline respiratory microbiologic markers and the composite unfavorable tuberculosis (TB) treatment outcome. Independent predictors were baseline Xpert MTB/RIF assay, acid-fast bacilli smear, and liquid MGIT culture positivity. Results are presented as adjusted incidence rate ratios from Poisson regression models adjusted for baseline age, sex, body mass index, diabetes, smoking, alcohol consumption, and regimen type (daily or thrice-weekly anti-TB treatment). (B) Forest plot summarizing associations between longitudinal respiratory microbiologic markers and the composite unfavorable TB treatment outcome. Independent predictors were Week 2 liquid culture positivity, Week 8 acid-fast bacilli smear and liquid and solid Löwenstein-Jensen culture positivity, and change in baseline time to detection on liquid culture at Week 8. Results are presented as adjusted incidence rate ratios from Poisson regression models adjusted for baseline age, sex, body mass index, diabetes, smoking, alcohol consumption, and regimen type (daily or thrice-weekly anti-TB treatment). aIRR = adjusted incidence rate ratio; CI = confidence interval; LJ = Löwenstein-Jensen; MGIT = Mycobacterium Growth Indicator Tube; MTB = Mycobacterium tuberculosis; RIF = rifampicin.
Figure 3.
Figure 3.
Longitudinal time to detection of growth of Mycobacterium tuberculosis on (A) liquid MGIT and (B) solid LJ culture media. Box plots summarize time to detection of growth at each time point from baseline to the end of the intensive phase of treatment according to tuberculosis treatment outcome. LJ = Löwenstein-Jensen; MGIT = Mycobacterium Growth Indicator Tube.
Figure 4.
Figure 4.
ROC curves illustrate similar performance among Week 2 (A and B) and Week 4 (C and D) acid-fast bacilli smear microscopy and liquid MGIT cultures as markers of the composite unfavorable tuberculosis treatment outcome. MGIT = Mycobacterium Growth Indicator Tube; ROC = receiver operating characteristic.

References

    1. Bagcchi S. WHO’s global tuberculosis report 2022. Lancet Microbe . 2023;4:e20. - PubMed
    1. World Health Organization. Global tuberculosis report 2021. Geneva, Switzerland: World Health Organization; 2021.
    1. World Health Organization. WHO consolidated guidelines on tuberculosis. Module 3: diagnosis: rapid diagnostics for tuberculosis detection. Geneva, Switzerland: World Health Organization; 2020. - PubMed
    1. Central TB Division, Directorate General of Health Services. 2017. https://tbcindia.gov.in/WriteReadData/NSP%20Draft%2020.02.2017%201.pdf
    1. Central Tuberculosis Division, Government of India. 2017. https://tbcindia.gov.in/index1.php?lang=1&level=2&sublinkid=5507&lid=3528

Publication types

LinkOut - more resources