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Predictors of delayed culture conversion among Ugandan patients

  • Daniel Atwine1, 2, 5Email author,
  • Patrick Orikiriza1, 2,
  • Ivan Taremwa1,
  • Arnold Ayebare1,
  • Suzan Logoose1,
  • Juliet Mwanga-Amumpaire1, 2,
  • Amina Jindani4 and
  • Maryline Bonnet1, 3
BMC Infectious DiseasesBMC series – open, inclusive and trusted201717:299

https://doi.org/10.1186/s12879-017-2335-7

Received: 25 May 2016

Accepted: 22 March 2017

Published: 24 April 2017

Abstract

Background

Estimates of month-2 culture conversion, a proxy indicator of tuberculosis (TB) treatment efficacy in phase-2 trials can vary by culture-type and geographically with lower rates reported among African sites. The sub-study aimed at comparing TB detection rates of different culture media, within and across rifampicin-based regimens (R10, 15 and 20 mg/Kg) over a 6-month treatment follow-up period, and to establish predictors of month-2 culture non-conversion among HIV-negative TB patients enrolled at RIFATOX trial site in Uganda.

Methods

Unlike in other Rifatox Trial sites, it is only in Uganda were Lowenstein-Jensen (LJ) and Mycobacteria growth indicator tube (MGIT) were used throughout 6-months for treatment monitoring. Conversion rates were compared at month-2, 4 and 6 across cultures and treatment-type. Binomial regression analysis performed for predictors of month-2 non-conversion.

Results

Of the 100 enrolled patients, 45% had converted based on combined LJ and MGIT by month-2, with no significant differences across treatment arms, p = 0.721. LJ exhibited higher conversion rates than MGIT at month-2 (58.4% vs 56.0%, p = 0.0707) and month-4 (98.9% vs 88.4%, p = 0.0391) respectively, more so within the high-dose rifampicin arms. All patients had converted by month-6. Time-to-TB detection (TTD) on MGIT and social service jobs independently predict month-2 non-conversion.

Conclusion

The month-2 culture conversion used in phase 2 clinical trials as surrogate marker of treatment efficacy is influenced by the culture method used for monitoring mycobacterial response to TB treatment. Therefore, multi-centric TB therapeutic trials using early efficacy endpoint should use the same culture method across sites. The Time-to-detection of MTB on MGIT prior to treatment and working in Social service jobs bear an increased risk of culture non-conversion at month-2.

Trial registration

ISRCTN ISRCTN55670677. Registered 09th November 2010. Retrospectively registered.

Keywords

Delayed culture conversion Efficacy HIV-negative TB patients Time-to-detection Treatment failure

Background

Culture conversion at month-2, is globally used as proxy indicator of tuberculosis (TB) chemotherapy efficacy in phase 2 clinical trials [13].

In addition to the treatment effect, several factors can affect the culture conversion at month-2, such as genetic polymorphism [4], age above 45 years, high pre-treatment sputum bacterial load, drug resistance extent of the radiographic involvement or presence of lung cavities, baseline time-to-detection (TTD) of TB, infection with W-Beijing genotype of M. Tuberculosis, smoking, and alcohol abuse [510]. Treatment interruption, irregularity in drug intake, and inadequate dosage, particularly of rifampicin may also lead to delayed culture conversion [1113]. This may explain variability of culture conversion at month-2 across sites in multicenter clinical trials or amongst trials.

Although not much explored, the variations in culture conversion may also be influenced by type of culture media [3, 14]. Specifically, the solid culture medium (Löwenstein-Jensen [LJ]) tend to exhibit a slower growth and lower sensitivity as compared to liquid culture in a mycobacterium growth indicator tube (MGIT) [1, 15]. There is no clear guidance whether both solid and liquid based culture media should be used in tuberculosis clinical trials for outcome assessment. This is particularly important for some sites from high TB burden and limited resource countries which still do have limited access to liquid culture medium. Therefore, the impact of parallel use of different culture media within the same geographical patient population on the outcome evaluation of tuberculosis treatment regimen needs further assessment.

We present results from a sub-study of the Rifatox trial that evaluated the safety of high-dose rifampicin (R) (15 and 20 mg/Kg) administered during the first 4 months of HIV negative TB patients’ treatment in Uganda, Nepal and Bolivia [16].

This sub-study took advantage that within the Rifatox trial, the Ugandan site used both LJ and MGIT cultures for all patients during the 6 months treatment as per site guidelines unlike other international sites that used LJ alone and only up to month 2, so as to compare TB detection rates on different culture media, within and across rifampicin-based treatment regimens over a 6-month treatment follow-up period, and to establish predictors of month-2 culture non-conversion.

Methods

Study design

We conducted a secondary analysis of data of all 100 patients enrolled from the African site (Mbarara, Uganda) within the Rifatox Trial [16].

Participants

The Mbarara site of the Rifatox trial was at Epicentre Mbarara Research Centre and was the only African site. The setting is endemic of TB and HIV. The trial consecutively recruited participants from the outpatient department (OPD) at Mbarara Regional Referral Hospital (MRRH).

Patients were eligible for enrolment in the trial if HIV negative, aged 18 years and above, with two sputum samples positive for tubercle bacilli on microscopy; having received less than a month of previous anti-tuberculosis chemotherapy; with a firm and accessible home address and if they consented to participation. Patients were excluded if they were critically ill, had extra-pulmonary TB, alcoholism, psychiatric illness, blood disorders, diabetes, epilepsy, HIV positivity, peripheral neuritis, pregnancy, a hemoglobin <7 g/dl, serum ALT levels >5 times the upper limit of normal (ULN), a creatinine clearance <30 ml/min, and rifampicin resistance.

Study procedures

Socio-demographic characteristics specifically age, sex, district of residence, marital status and occupation, were collected using a standardized questionnaire which was administered in the local language. All patients underwent a physical examination by a medical doctor to record clinical data.

Patients were randomized to one of the 3 treatment regimens, that is: 1) Control Regimen (CR): 2 months of daily ethambutol (E) isoniazid (H) pyrazinamide (Z) Z and R at the usual dose of 10 mg/kg followed by 4 months of RH; 2) Study Regimen 1 (SR1):The regimen as above but with an increase in the dose of R to 15 mg/kg body weight daily for the first 4 months and a standard dose R (10 mg/kg) was given for the last 2 months; 3) Study Regimen 2 (SR2): The regimen as in SR1 but with an increase in the dose of R to 20 mg/kg body weight daily for the 4 months. Treatment was given under Direct Observation (DOT) by Domiciliary Treatment Monitor (DTM) or study nurse.

Patients provided spot sputum specimen at baseline, months 2, 4 and 6 for smear microscopy, LJ and manual MGIT (Becton, Dickinson, Franklin Lakes, NJ) cultures. Resistance testing was performed on decontaminated sample at baseline using GenoType MTBDRplus 2.0 (Hain Lifescience, Nehren).

In the laboratory, the specimens were decontaminated using the N-acetyl-L-cysteine and sodium hydroxide (1.5% final concentration). The decontaminated sputum was inoculated into two homemade LJ medium tubes and one MGIT tube. Negative culture results were reported after 56 days of incubation. Growth in the LJ and MGIT cultures, were checked for Acid fast bacilli and contamination using Ziehl-Neelsen (ZN) microscopy and blood agar culture respectively. ZN positive cultures were differentiated between Mycobacterium tuberculosis (MTB) and non-tuberculosis mycobacterium (NTM) using the SD TB Ag MPT64 Rapid system (SD Bioline, Kyongi-do, South Korea). Generally, the Time-to-positivity/detection was recorded for all TB patients using MGIT cultures.

Patients had weekly clinical assessment during first 2 months and then monthly with regular monitoring of liver function tests [16].

Statistical analysis

Data were double-entered in a Voozanoo database (Epiconcept, Paris, France) and all statistical analysis was performed using Stata® software (v. 12, College Station, Texas, USA).

Relevant summary statistics were used to describe participants’ baseline characteristics. The proportion of patients with culture conversion out of those with prior baseline culture positivity was calculated at months-2, 4 and 6 by treatment regimen and by culture method (LJ, MGIT and combination of LJ + MGIT) after exclusion of patients with culture contaminated result from the denominator. Patients with contaminated samples were excluded in the subsequent analysis. Comparison of culture conversion between LJ and MGIT culture methods at each time point was performed using Mc’ Nemar exact test for matched data, while Pearson Chi2 was used to compare the culture conversion rates between different treatment regimens used. Our dependent variable was culture non-conversion at month-2, defined as: having a MTB growth on either LJ or MGIT culture at month-2. Independent variables used included: 1) baseline patients’ socio-demographics (age, sex, district of residence, marital status and occupation using definitions adapted from those used in the Uganda Demographic Health Survey reports [17]; 2) Baseline Clinical data, that is, body mass index (BMI) defined as low if <18.5 kg/m2 [18], sputum bacterial load using the World Health Organization (WHO) grading for LJ culture [19], time-to-detection of MTB on MGIT culture at baseline categorized into a binary variable using a cut-off of 14 days [20], hemoglobin level defined as low if <11 g/dL for males and ≤10.4 g/dl for females [21].

We fitted univariable and multivariable binomial regression models to establish the predictors of culture non-conversion at month-2. Variables associated with P < 0.4 in univariable analysis were included in the initial multivariable model after establishing the absence of multi-collinearity. The final model was systematically adjusted on treatment regimen, age, gender and baseline colony density. A 5% significance level was used. Tests for interaction and goodness-of-fit were performed.

Results

One hundred enrolled patients in Uganda had their sputum evaluated at different time points (Figure 1). The participants were predominantly males (80%) with a mean age of 36.2 years. They had a mean body weight of 51 kg and 44% were underweight (BMI < 18.5Kg/m2). Predominantly, patients had high bacillary loads of 2+ and above (87%) and high colony density of 3+ and above in LJ (80%). Overall, mean TTD of MTB on MGIT was 13.4 ± 10.6 days (Range: 3–51 days), with 65 out of 95 (68.4%) patients showing MTB growth within 14 days from MGIT inoculation at baseline. Majority of patients with baseline colony density of >2+ or ≤2+, had a TTD on MGIT of less than 14 days (79%) and above 14 days (72%), respectively, p < 0.0001. Three patients (3%) had isoniazid mono-resistance (Table 1).
Fig. 1

Study Profile

Table 1

Participants’ baseline characteristics

Characteristic

Number

 

Mean age in years (SD)

100

36.2 (11.6)

 Age categories, n (%)

  18–24

 

20 (20.0)

  25–49

 

64 (64.0)

   > =50

 

16 (16.0)

Gender, male, n (%)

100

80 (80.0)

Marital status, n (%)

92

 

  Married

 

54 (58.7)

  Separated/Divorced

 

8 (8.7)

  Single/widowed

 

30 (32.6)

Occupationa, n (%)

92

 

  Peasant

 

16 (17.4)

  Professional

 

9 (9.8)

  Service

 

18 (19.6)

  Unskilled manual

 

37 (40.2)

  Student

 

6 (6.5)

  Business

 

6 (6.5)

Transport mode to clinic, n (%)

91

 

  Motorbike

 

34 (37.4)

  Car

 

16 (17.6)

  Taxi

 

41 (45.1)

District of residence, n (%)

100

 

  Bushenyi

 

9 (9.0)

  Isingiro

 

21 (21.0)

  Mbarara

 

70 (70.0)

Relationship with Domiciliary treatment monitor, n (%)

97

 

  Parental family

 

42 (43.3)

  Own family

 

22 (22.7)

  Friends/in-laws

 

33 (34.0)

Current smoker, n (%)

89

35 (39.3)

TB treatment regimen, n (%)

100

 

  Standard regimen (R10mg/kg)

 

33 (33.0)

  Regimen 1 (R15mg/kg)

 

33 (33.0)

  Regimen 2 (R20mg/kg)

 

34 (34.0)

Clinical Parameters

Mean body weight in kg (SD)

100

51.2 (7.8)

Mean BMI in Kg/m2 (SD)

99

19.0 (2.4)

 BMI <18.5, n (%)

 

44 (44.4)

Biochemical parameters

Mean hemoglobin in g/dl (SD)

100

11.7 (1.8)

 Hemoglobin gradeb

  

  Mild anemia, n (%)

 

13 (13.0)

  Moderate anemia, n (%)

 

11 (11.0)

  Severe anemia, n (%)

 

6 (6.0)

Biological Parameters

 Baseline smear positivity, n (%)

100

100 (100.0)

  Scanty

 

4 (4.0)

  1+

 

9 (9.0)

  2+

 

25 (25.0)

  3+

 

62 (62.0)

 Baseline LJ positivity, n (%)

100

98 (98.0)

  Colony density, n (%)

  

   Negative

 

2 (2.0)

  1+

 

4 (4.0)

  2+

 

14 (14.0)

  3+

 

56 (56.0)

  4+

 

24 (24.0)

Baseline MGIT positivity, n (%)

100

95 (95.0)

Baseline combined LJ/MGIT positivity, n (%)

100

100 (100.0)

Mean Time-to-detection (TDD) of MTB on MGIT in days (±SD)

95

13.4 ± 10.6

TDD of MTB on MGIT in days, <14 days, n (%)

95

65 (68.4)

Primary Isoniazid resistance, n (%)

100

3 (3.0)

SD standard deviation, BMI body mass index, LJ Löwenstein-Jensen, MGIT, mycobacterium growth indicator tube, MTB mycobacterium tuberculosis complex

aOccupation: 1) Peasant represents people earning from agriculture; 2) professional represents those working in certified, managerial or technical jobs; 3) Social service representing mainly transport services like motor-bike riders and those in unskilled manual (like bar/restaurant attendants, house maids, truck attendants); 4) Students representing those still in school and not working; 5) Business representing those involved in their own businesses. bHemoglobin: Mild (male:10–10.9 g/dl, Female: 9.5–10.4), Moderate (Male: 9.0- < 10.0, Female: 8.5- < 9.5), Severe (Male:7.0- < 9.0, Female: 6.5- < 8.5based on Division of AIDS (DAIDS) guideline

Overall, using both LJ and MGIT, 45% had converted on culture by month-2. Culture conversion was 50%, 40.6% and 44.1% for patients in the 10, 15 and 20 mg/Kg rifampicin arms, respectively, p = 0.721 (Table 2). It increased to 91.2%, 83.3% and 86.7% at month-4 (p = 0.685). All patients were culture negative at month-6.
Table 2

Culture conversion by culture method and treatment arm at month-2, 4 and 6

Month

Culture

Overall

Treatment Arm

 

CR

SR1

SR2

p-valueb

Converted, n/N, %

Converted, n/N, %

Converted, n/N,%

Converted, n/N, %

 

Month-2

LJ

51/91 (56.0)

17/32 (53.1)

14/27 (51.9)

20/32 (62.5)

0.697

MGIT

46/95 (48.4)

18/33 (54.6)

13/31 (41.9)

15/31 (48.4)

0.601

% difference

7.6

−1.5

10

14.1

 

p-valuea

0.0707

1.0000

0.1250

0.2891

 

Both LJ and MGIT

45/100 (45.0)

17/34 (50.0)

13/32 (40.6)

15/34 (44.1)

0.721

Month-4

LJ

88/89 (98.9)

31/31 (100.0)

28/29 (96.6)

29/29 (100.0)

0.652

MGIT

76/86 (88.4)

29/32 (90.6)

24/27 (88.9)

23/27 (85.2)

0.913

% difference

10.5

9.4

7.7

14.8

 

p-valuea

0.0391

0.5000

0.6250

0.2500

 

Both LJ and MGIT

82/94 (87.2)

31/34 (91.2)

25/30 (83.3)

26/30 (86.7)

0.685

Month-6

LJ

87/87 (100.0)

33/33 (100.0)

26/26 (100.0)

28/28 (100.0)

NA

MGIT

78/78 (100.0)

29/29 (100.0)

26/26 (100.0)

23/23 (100.0)

NA

% difference

0.0

0.0

0.0

0.0

 

p-valuea

1.0000

1.0000

1.0000

1.0000

 

Both LJ and MGIT

88/88 (100.0)

34/34 (100.0)

26/26 (100.0)

28/28 (100.0)

NA

aExact McNemar p-value

bFishers’ exact p-value

Converted culture converted, CR control regimen (10 mg/kg rifampicin), SR1 study regimen1 (15 mg/kg rifampicin), SR2 study regimen2 (20 mg/kg rifampicin), LJ Löwenstein-Jensen, MGIT mycobacterium growth indicator tube

Contamination was reported in 5/99 (5.1%), 2/93 (2.2%) and 0/90 (0%) of the patients with LJ done at month-2, 4 and 6 respectively. On the other-hand, contamination was reported in 3/85 (3.5%) patients with MGIT performed at month-6. No MGIT contamination was noted before month 6 follow-up. None of the patients had contamination on both LJ and MGIT at the same visit.

The overall estimates of culture conversion by LJ were higher than with MGIT at months 2 (56.0% vs 48.4%, p = 0.0707) and month-4 (98.9% vs 88.4%, p = 0.0391) (Table2). Although none showed statistical significance the differences in conversion rates between LJ and MGIT at month-2 seem more higher within patients in high-dose rifampicin arms (10% for 15 mg/Kg and 14.1% for 20 mg/Kg) than patients in the control arm (−1.5%).

TDD of MTB on baseline MGIT culture and occupation were significantly associated with the culture non-conversion at month-2 after adjusting for age, gender, treatment regimen, and baseline colon density. Patients with baseline TTD below 14 days had a 2-fold increased risk of month-2 non-conversion as compared to those with TTD of 14 days and above, (aRR = 2.1, [95% CI: [1.18–3.93], p = 0.013). On the other-hand, within occupations, patients working in “social service jobs”, which in this study accounts mostly for motor-bike passenger riders, were significantly associated with a 3-fold increased risk of month-2 culture non-conversion (RR = 3.0, [95% CI:1.11–8.19], p = 0.031) as compared to those in formal professional jobs (Table 3).
Table 3

Results of univariable and multivariable binomial regression analysis of predictors of month-two culture non-conversion

Characteristic

Converted,

n (%)

Non-converted,

n (%)

Unadjusted

RR [95% CI]

Adjusted

RR [95% CI]

Age in years, n = 100

 18–45

36 (43.4)

47 (56.6)

1.2 [0.70–2.06]

0.6 [0.32–1.32]

  > 45

9 (52.9)

8 (47.1)

1.0

1.0

Gender, n = 100

 Female

10 (50.0)

10 (50.0)

1.0

1.0

 Male

35 (43.8)

45 (56.3)

1.1 [0.70–1.82]

1.1 [0.60–2.06]

Marital status, n = 92

 Married

26 (48.2)

28 (51.9)

1.0 [0.67–1.61]

 

 Separated/Divorced

2 (25.0)

6 (75.0)

1.5 [0.88–2.57]

 

 Single/widowed

15 (50.0)

15 (50.0)

1.0

 

Occupation, n = 92

 Peasant

11 (68.8)

5 (31.3)

0.9 [0.29–3.04]

0.8 [0.26–2.65]

 Professional

6 (66.7)

3 (33.3)

1.0

1.0

 Social service

3 (16.7)

15 (83.3)

2.5 [0.97–6.44]

3.0 [1.10–8.19]

 Unskilled manual

17 (46.0)

20 (54.1)

1.6 [0.61–4.28]

a1.5 [0.56–3.78]

 Student

3 (50.0)

3 (50.0)

1.5 [0.44–5.09]

2.1 [0.61–7.11]

 Business

3 (50.0)

3 (50.0)

1.5 [0.44–5.09]

1.3 [0.40–4.36]

District of residence, N = 100

 Bushenyi

5 (55.6)

4 (44.4)

1.0

 

 Isingiro

8 (38.1)

13 (61.9)

1.4 [0.62–3.11]

 

 Mbarara

32 (45.7)

38 (54.3)

1.2 [0.57–2.62]

 

Current Smoker, n = 89

15 (42.9)

20 (57.1)

1.1 [0.74–1.62]

 

TB treatment regimen, n = 100

 

 Standard regimen

17 (50.0)

17 (50.0)

1.0

1.0

 Regimen 1

13 (40.6)

19 (59.4)

1.5 [0.55–3.87]

0.8 [0.45–1.34]

 Regimen 2

15 (44.1)

19 (55.9)

1.3 [0.49–3.29]

1.1 [0.69–1.84]

Body mass index in kg/m2, n = 99

 18.5 and above

25 (45.5)

30 (54.6)

1.0

 

  < 18.5

20 (45.5)

24 (54.6)

1.0 [0.70–1.44]

 

Colony density at baseline, n = 98

 1+

2 (50.0)

2 (50.0)

1.0

1.0

 2+

8 (57.1)

6 (42.9)

0.9 [0.27–2.71]

0.5 [0.12–2.01]

 3+

23 (41.1)

33 (58.9)

1.2 [0.43–3.22]

0.5 [0.11–1.82]

 4+

11 (45.8)

13 (54.2)

1.1 [0.38–3.09]

0.4 [0.09–1.44]

Time-to-detection (TDD) of MTB on MGIT at baseline

    

 Less than 14 days

24 (36.9)

41 (63.1)

1.6 [0.98–2.54]

2.1 [1.18–3.93]b

 14 days and above

18 (60.0)

12 (40.0)

1.0

1.0

Hemoglobin levels, n = 100

 Normal

28 (40.0)

42 (60.0)

1.0

 

 Low

17 (56.7)

13 (43.3)

0.7 [0.46–1.13]

 

Missed atleast a dose in first 2 months, n = 100

3 (23.1)

10 (76.9)

1.5 [1.04–2.13]

 

Multivariable model characteristics: N = 87, deviance = 100.63, Binomial model-based goodness of fit, p = 0.0177, Logit model-based goodness of fit, p = 0.5291

RR crude risk ratio, aRR adjusted risk ratio, 95% CI 95% Confidence Interval, LJ Löwenstein-Jensen, MGIT mycobacterium growth indicator tube, NA not applicable, MTB mycobacterium tuberculosis a p = 0.031; b p = 0.013

Discussion

This sub-analysis of the data from Ugandan site within the Rifatox trial, shows that the low culture conversion at month-2 was due to delayed culture conversion and not treatment failure. Indeed, 87.2% of patients converted by month-4 and 100% by month-6 without initiation of second-line treatment. Culture non-conversion at month-2 suffers a lower specificity in predicting TB relapse or treatment failure [22] a phenomenon partially observed in our study given that all month-2 non-converters finally converted by month 6. No significant differences were observed in the conversion rates across 10, 15 and 20 mg/kg rifampicin-based regimens using LJ, MGIT or combination of LJ and MGIT. Despite the low sample size on which this sub-analysis was performed, these results are consistent with what was reported in the Rifatox trial using LJ culture only [16]. However, given the good safety results of high-dose rifampicin shown in two recent trials [16, 23] and the difficulty to rely on month-2 culture conversion as surrogate endpoint of treatment efficacy [2426], a phase3 efficacy trial of 4 month regimens based on high-dose rifampicin is under implementation. This Rifashort trial (NCT02581527) will evaluate 1200 mg and 1800 mg rifampicin daily in the reduction of treatment duration for pulmonary tuberculosis from 6 months to 4 months.

The observed combined LJ/MGIT month-2 culture conversion rate (45%), was lower than that reported (61%) in another trial that involved patients in Central Uganda [14]. The slow conversion rates may partly be explained by the fact that majority of the patients (>80%) had high baseline bacillary load and colony density. The absence of association between baseline sputum bacterial load and the absence of culture conversion at Month 2 is possibly hidden by the selection of smear-positive patients and by a very high proportion of patients with high bacterial load overall. This is a reflection of late medical consultation or delayed TB diagnosis among TB patients. Delayed culture conversion may potentially elongate patients’ period of infectiousness, a challenge in TB control efforts. Unfortunately, since patients were not followed up after completion of treatment in the Rifatox phase2 trial, it was not possible to report on whether delayed sputum converters also had a higher risk of relapse than early converters. On a positive side, this will also be assessed within the Rifashort trial.

Our study noted a 2-fold increase in risk of culture non-conversion at month-2 in patients with baseline TTD of MTB on MGIT below 14 days as compared to those with TTD of 14 days or above [10]. This difference may partially be due to the high bacillary colony density prior to treatment (80% > 2+). However, it is interesting to note that the significant association remained after adjustment on baseline colony density. On the other-hand, baseline colony density showed no significant association with culture non-conversion at month-2, a finding that could be explained by an overwhelmingly higher proportion of patients with high colony density (>80%) in this study. The 3-fold increase in risk of culture non-conversion at month-2 noted in our study among patients employed in social service jobs (mainly commercial motor-bike passenger riders) as compared to those in formal professional employment, shows the role of social factors and the need for their consideration within TB treatment efficacy trials. The Motor-bike passenger riders have a great social sphere of interaction, and may play a key role in TB transmission within urban and semi-urban settings. Further exploration into the reasons underlying the increased vulnerability of this population group is needed.

This sub-study confirms the slow bacteriological response to treatment or the presence of persister bacilli populations reported among African patients, something that has complicated the estimation of early TB chemotherapy efficacy in a number of multi-centric clinical trials [1, 2, 16, 27]. Indeed, this delayed conversion among Ugandan patients, offers more evidence to the suggestion made in the retrospective study of several phase 3 TB trials conducted by the British Medical Council in Hong Kong and East Africa, recommending the use of month-3 instead of month-2 culture conversion endpoint as a surrogate of treatment efficacy within the phase II East African trials [26].

As expected, LJ which is known to be a less sensitive culture method than MGIT had a 10% higher month-2 culture conversion rate as compared to MGIT. The significantly high overall difference in conversion rates between LJ and MGIT especially at month4, only confirms the declining sensitivity of LJ in detecting TB with declining bacillary loads during treatment follow-up, a finding also consistent with other studies [1, 15, 28]. It highlights the necessity to consistently use the same culture methods for early treatment efficacy endpoints across sites within a TB clinical trial. This approach, will not affect the comparisons of the conversion rates between treatment arms. Likewise, culture conversion rates across clinical trials can easily be compared or pooled as long as they are based on the same culture method. Also, our results do not support the need to combine LJ and MGIT cultures in the same trial for the microbiological outcome assessment. However, this would require to be further assessed in a larger study. Surprisingly, this effect of culture media used, seem higher and faster in the high rifampicin dose groups, with bigger differences in TB conversion rates between LJ and MGIT manifesting as earlier as month-2 of treatment follow-up, a phenomenon that may perhaps be explained by a faster reduction in LJ sensitivity following a more rapid decline in bacilli population due to higher doses of rifampicin [13].

The study has several limitations: i) Since it was a sub-study from the Ugandan site only, numbers are very small. The small sample size reduced the power to show a difference of culture conversion between arms or between culture methods and may have hindered significance of some predictor variables of non-conversion. This also may have contributed to the high deviance and inadequate goodness of fit seen with the multivariable binomial regression model (p = 0.0177), although a good fit was achieved on a re-run of the final model with a logit-based model (p = 0.5291). ii) Our study being limited to only adult HIV negative TB patient population limits its generalizability to the HIV positive population. Similarly, the study enrollment was limited to smear-positive patients and the results cannot be generalized to smear-negative culture positive TB patients. Also, being a sub-analysis within a single site, findings cannot be generalized to other sites from different regions. Iii) Some variables like chest radiological findings were not collected within the Rifatox trial and could not be explored in the analysis of predictors of non-conversion. iv) Finally, because the Rifatox trial was a phase 2 safety trial, post treatment culture follow-up was not part of the trial procedures and so, we could not establish whether the delayed converters had a higher relapse rate than early converters.

Conclusions

The month-2 culture conversion used in phase 2 clinical trials as surrogate marker of treatment efficacy is influenced by the culture method used for monitoring mycobacterial response to TB treatment. Therefore, multi-centric TB therapeutic trials using early efficacy endpoint should use the same culture method across sites. The Time-to-detection of MTB on MGIT prior to treatment initiation and working in Social service jobs bear an increased risk of culture non-conversion at month-2.

Abbreviations

ALT: 

Alanine aminotransferase

BMI: 

Body mass index

DOT: 

Directly observed treatment

DTM: 

Domiciliary treatment monitor

E: 

Ethambutol

HIV: 

Human immunodeficiency virus

H: 

Isoniazid

LJ: 

Lowenstein-Jensen

MGIT: 

Mycobacteria growth indicator tube

NTM: 

Non-tuberculosis mycobacterium

Z: 

Pyrazinamide

RH: 

Rifampicin and isoniazid

R: 

Rifampicin

RR: 

Risk ratio

SR1: 

Study regimen one

SR2: 

Study regimen two

TB: 

Tuberculosis

ULN: 

Upper limit of normal

Declarations

Acknowledgments

We express our gratitude and thanks to the study participants. We also thank the Epicentre (Paris, France) nurses and laboratory personnel who participated in data collection; the Mbarara University (Mbarara, Uganda) and hospital colleagues who supported the study through constructive advice and patient referral to the study, respectively. Thanks to Mathieu Bastard from Epicentre who supported in the statistical analysis.

Funding

No funding was received for this sub-study. However, in the Rifatox trial all the trial related activities in Mbarara were funded by Médecins Sans Frontières/Epicentre, and for other sites, by the International Consortium for Trials of Chemotherapeutic Agents in Tuberculosis and St. George’s, University of London.

Availability of data and materials

The dataset from which the information presented in this manuscript originates has been submitted as Additional file 1.

Authors’ contributions

DA MB AJ conceived the study, and participated in its design and coordination and drafted the manuscript. DA MB performed the statistical analysis and drafted the manuscript. JM, PO participated in the statistical analysis and drafted the manuscript. PO IT and AA carried out the laboratory procedures of the study and participated in manuscript writing. SL participated in data collection, study monitoring, and manuscript writing. All authors contributed to the writing of the manuscript. All authors read and approved the final manuscript.

Competing interests

The authors declare that they have no competing interests.

Consent for Publication

Not applicable.

Ethics approval and consent to participate

The Rifatox Trial which is the source of the data used in this sub-analysis was approved by the Oxford Tropical Research Ethics Committee (OxTREC), Research Ethics Committee of Mbarara University of Science and Technology, Uganda National Council for Science and Technology (UNCST) and National Drug Authority (NDA) for Uganda. Written informed consent was obtained from all patients prior to their participation in the study.

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Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
Epicentre Mbarara Research Centre
(2)
Mbarara University of Science and Technology
(3)
IRD UMI233 TransVIHMI-UM-INSERM U1175
(4)
St. George’s, University of London
(5)
University of Montpellier 1

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Copyright

© The Author(s). 2017