Systematic assessment of clinical and bacteriological markers for tuberculosis reveals discordance and inaccuracy of symptom-based diagnosis for treatment response monitoring

This work was supported by Commonwealth PhD studentship award to Dr Bariki Mtafya (Award number: TZS-2016-718) at University of St Andrews and European and Developing Countries Clinical Trials Partnership through TWENDE project (grant number; TWENDE-EDCTP-CSA-2014-283) and PanACEA II (grant number; 97118-PanACEA-TRIA.2015.1102) awarded to Professor Stephen Gillespie and Dr Wilber Sabiiti at the University of St Andrews, UK.Background : Clinical symptoms are the benchmark of tuberculosis (TB) diagnosis and monitoring of treatment response but is not clear how they relate to TB bacteriology, particularly the novel tuberculosis Molecular Bacterial Load Assay (TB-MBLA). Methods : Presumptive cases were bacteriologically confirmed for TB and assessed for symptom and bacteriological resolution using smear microscopy (SM), culture and TB-MBLA over 6-month treatment course. Kaplan Meier and Kappa statistics were used to test relationship between symptom- and bacteriological-positivity. Results : A cohort of 46 bacteriologically confirmed TB cases were analysed for treatment response over a six-month treatment course. Pre-treatment symptom and bacteriological positivity concurred in over 70% of the cases. This agreement was lost in over 50% of cases whose chest pain, night sweat, and loss of appetite had resolved by week 2 of treatment. Cough resolved at a 3.2% rate weekly and was 0.3% slower than the combined bacteriological (average of MGIT and TB-MBLA positivity) resolution rate, 3.5% per week. Drop in TB-MBLA positivity reflected fall in bacillary load, 5.7±1.3- at baseline to 0.30±1.0- log10 eCFU/mL at month 6, and closer to cough resolution than other bacteriological measures, accounting for the only one bacteriologically positive case out of seven still coughing at month 6. Low baseline bacillary load patients were more likely to be bacteriologically negative, HR 5.6, p=0.003 and, HR 3.2, p=0.014 by month-2 and 6 of treatment respectively. Conclusion : The probability of clinical symptoms reflecting bacteriological positivity weakens as patient progresses on anti-TB therapy, making symptom-based diagnosis a less reliable marker of treatment response.Publisher PDFPeer reviewe

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BackgroundClinical symptoms are the benchmark of tuberculosis (TB) diagnosis and monitoring of treatment response but are not clear how they relate to TB bacteriology, particularly the novel tuberculosis-molecular bacterial load assay (TB-MBLA).MethodsPresumptive cases were bacteriologically confirmed for TB and assessed for symptoms and bacteriological resolution using smear microscopy (SM), culture, and TB-MBLA over 6-month treatment course. Kaplan–Meier and Kappa statistics were used to test the relationship between symptoms and bacteriological positivity.ResultsA cohort of 46 bacteriologically confirmed TB cases were analyzed for treatment response over a 6-month treatment course. Pre-treatment symptoms and bacteriological positivity concurred in over 70% of the cases. This agreement was lost in over 50% of cases whose chest pain, night sweat, and loss of appetite had resolved by week 2 of treatment. Cough resolved at a 3.2% rate weekly and was 0.3% slower than the combined bacteriological (average of MGIT and TB-MBLA positivity) resolution rate, 3.5% per week. A decrease in TB-MBLA positivity reflected a fall in bacillary load, 5.7 ± 1.3- at baseline to 0.30 ± 1.0- log10 eCFU/ml at month 6, and closer to cough resolution than other bacteriological measures, accounting for the only one bacteriologically positive case out of seven still coughing at month 6. Low baseline bacillary load patients were more likely to be bacteriologically negative, HR 5.6, p = 0.003 and HR 3.2, p = 0.014 by months 2 and 6 of treatment, respectively.ConclusionThe probability of clinical symptoms reflecting bacteriological positivity weakens as the patient progresses on anti-TB therapy, making the symptom-based diagnosis a less reliable marker of treatment response.</p