Biological Monitoring of Patients under First-Line Antituberculous Treatment in Chad from 2021 to 2022 ()
1. Introduction
Tuberculosis (TB) continues to be a critical public health issue, especially in resource-limited countries of sub-Saharan Africa, where incidence and mortality rates remain high. According to the World Health Organization (WHO), TB is a priority in Chad, with an estimated incidence rate of 139 cases per 100,000 population in 2023 [1]. The standard treatment protocol, combining a four-drug antituberculosis regimen over six months, demands close clinical and biological supervision to evaluate treatment efficacy, promptly identify drug resistance, and monitor adverse reactions [1]. Biological monitoring principally involves detection of Acid-Fast Bacilli (AFB) in sputum, molecular resistance testing, and cultures, which are crucial to ensuring effective care and preventing the emergence of resistant strains. Despite clear national guidelines, biological follow-up in Chad is hindered primarily by human, material, and financial resource limitations. This study aims to evaluate the compliance of biological monitoring among patients undergoing first-line TB treatment in Chad from 2021 to 2022, focusing particularly on patients at the Centre Hospitalier Universitaire de Référence Nationale (CHU-RN) of N’Djamena. Findings from this investigation may inform improvements in biological monitoring strategies and strengthen TB control efforts in Chad.
2. Materials and Methods
2.1. Study Design
This mixed descriptive study combined retrospective data analysis from TB treatment centers in Chad (N’Djamena and other regions) between 2021 and 2022 with a prospective component conducted at CHU-RN from March to September 2021. The cities concerned were Abéché, Am-timan, Bol, Fada, Koumra, Laï, Massenya, Moussoro, N’Djamena and Sarh. CHU-RN represents the largest TB treatment center in Chad. The provincial data constituted a large retrospective cohort, whereas patients enrolled at CHU-RN formed a smaller prospective hospital cohort.
2.2. Study Population
The study population included all adult patients (aged 15 years and above) treated with first-line antituberculous drugs and managed for pulmonary tuberculosis at the study sites during the study period.
2.3. Data Collection
The data were collected using a standardized questionnaire. Sputum samples were collected from patients followed at CHU-RN and analyzed at the Mycobacteriology Laboratory of CHU-RN and the Bacteriology Laboratory of CHU Arnaud de Villeneuve in Montpellier, France.
The data collected include demographic data (age, sex and place of residence), clinical data (TB type, history, HIV status), biological data (BAAR, GeneXpert, culture, antibiogram), therapeutic data (treatment regimen, duration of treatment and compliance) and evolutionary data from treatment (relapse and failure).
2.4. Biological Monitoring
Biological monitoring was assessed based on the examinations recommended in the national TB control guidelines of Chad. These include sputum AFB smear microscopy and molecular resistance testing for antituberculous drugs. For new smear-positive pulmonary TB cases, sputum smears are recommended at month 2, month 5 and month 6 (end of treatment) [2]. If the patient cannot produce sputum at the end of treatment, a final smear should nevertheless be performed on saliva. Patients who remain smear-positive at month 2 continue to the continuation phase with an additional control at month 3, without prolongation of the intensive phase. Biological monitoring was considered adequate when patients completed at least 80% of the expected smears according to this schedule (at months 2, 5 and 6, and at month 3 when indicated).
2.5. Laboratory Analyses
Laboratory evaluation was performed exclusively on samples collected at CHU-RN. Sputum samples from each enrolled patient were decontaminated with the Mycoprep® kit and cultured on solid (Lowenstein-Jensen) and liquid (MGIT) media. Direct examination was conducted pre- and post-decontamination. GeneXpert MTB/RIF Ultra molecular testing identified Mycobacterium tuberculosis complex (MTBC).
2.6. Statistical Analysis
Data entry was performed using Microsoft Excel, and statistical analyses were executed with SPSS v2.0. Categorical variables were described by frequencies and percentages, and continuous variables by mean and standard deviation.
3. Results
3.1. Results from Patients Treated in Chadian Provinces
The study included 5811 patients treated for pulmonary tuberculosis, including 118 children under 15 years, from several provinces during 2021-2022 (Table 1). The median age was 33 ± 13 years, with a male predominance (70.8% men vs. 29.2% women).
Table 1. Age distribution.
Age |
n |
% |
[0 - 4] |
19 |
0.37 |
[5 - 14] |
99 |
1.93 |
[15 - 24] |
1100 |
21.46 |
[25 - 34] |
1459 |
28.46 |
[35 - 44] |
1095 |
21.36 |
[45 - 54] |
688 |
13.42 |
[55 - 64] |
347 |
6.77 |
≥65 |
319 |
6.22 |
Total |
5126 |
|
3.1.1. Biological Characteristics
Figure 1. Completion rate of the various biological tests.
The overall performance rate of recommended biological tests (AFB smear, GeneXpert) was approximately 52.8%. Figure 1 highlights test distribution, showing that most follow-ups involved a single microscopy examination (73%). Among 5513 microscopy tests conducted, 15.71% (866 patients) were positive. GeneXpert testing was performed on 298 patients (5.13%), identifying 243 MTB-positive cases: 78.19% rifampicin-sensitive, and 3.36% rifampicin-resistant. Multidrug-Resistant (MDR) cases were distributed across 5 of the 10 studied provinces (Figure 1). Figure 2 shows the distribution of MDR cases by city.
Figure 2. Distribution of MDR cases by city.
3.1.2. Clinical and Therapeutic Characteristics
Most patients (94.9%) had smear-positive pulmonary tuberculosis. A minority (5.1%) reported TB history or comorbidities like diabetes and hypertension. HIV status was available for only 15 patients; one (6.67%) was co-infected. Two HIV-negative patients experienced treatment failure (both from Abéché); they had positive smear microscopy but negative Xpert MTB/RIF Ultra results, findings consistent with Non-Tuberculous Mycobacteria (NTM). Biological monitoring was predominantly concentrated in the first two months (40.62% of controls), declining in later phases (data for 578 patients). Treatment failure rate was 5.36%, relapse rate 0.69% (Table 2). Among failures, two cases involved nontuberculous mycobacteria diagnosed by microscopy but not GeneXpert.
Table 2. Distribution of biological results by follow-up period.
Monitoring period* |
Negative |
Positive |
Total |
n |
% |
n |
% |
n |
% |
C1 |
0 |
0 |
2 |
0.03 |
2 |
0.03 |
C2 |
215 |
3.7 |
17 |
0.29 |
232 |
3.99 |
C3 |
14 |
0.2 |
0 |
0 |
14 |
0.24 |
C4 |
1 |
0.02 |
0 |
0 |
1 |
0.02 |
C5 |
150 |
2.6 |
11 |
0.19 |
161 |
2.77 |
C6 |
155 |
2.7 |
7 |
0.12 |
162 |
2.79 |
C7 |
1 |
0.02 |
0 |
0 |
1 |
0.02 |
C8 |
2 |
0.03 |
1 |
0.02 |
3 |
0.05 |
Monitoring and follow-up |
4159 |
71.6 |
1041 |
17.91 |
5200 |
89.49 |
Failure |
7 |
0.1 |
24 |
0.41 |
31 |
0.53 |
Relapse |
0 |
0 |
4 |
0.07 |
4 |
0.07 |
Total |
4704 |
80.9 |
1107 |
19.1 |
5811 |
100 |
*C1: Control at month 1 after treatment, C2: Control at month 2...C8: at month 8.
Concerning the cities of Chad, after N’Djamena, the cities of Bol, Koumra and Abéché, respectively, evaluate follow-up biological controls on their patients (Table 3). The CHU-RN alone followed 88.2% of the patients in the study. Overall, the number of biological controls carried out on the patients by month is presented in Figure 3.
Table 3. Biological results by city.
City |
Negative |
Positive |
Total |
n |
% |
n |
% |
n |
% |
Abéché |
137 |
2.4 |
30 |
0.5 |
167 |
2.9 |
Am-Timan |
37 |
0.6 |
2 |
0.03 |
39 |
0.7 |
Bol |
231 |
4.0 |
12 |
0.2 |
243 |
4.2 |
Fada |
5 |
0.1 |
3 |
0.1 |
8 |
0.1 |
Koumra |
177 |
3.0 |
15 |
0.3 |
192 |
3.3 |
Laï |
9 |
0.2 |
4 |
0.1 |
13 |
0.2 |
Massenya |
10 |
0.2 |
6 |
0.1 |
16 |
0.3 |
Moussoro |
0 |
0 |
1 |
0.02 |
1 |
0.0 |
N’Djamena |
4094 |
70.5 |
1030 |
17.7 |
5124 |
88.2 |
Sarh |
2 |
0 |
6 |
0.1 |
8 |
0.1 |
Total |
4702 |
80.9 |
1109 |
19.1 |
5811 |
100 |
Figure 3. Number of checks carried out by month.
3.2. Results among Patients Followed at CHU-RN
One hundred eleven patients were enrolled; mean age was 35 years (±13), range 16 - 85; median 33 years; 70.3% male. Most resided in central N’Djamena (79.2%), followed by peripheral neighborhoods and 4.2% from villages.
3.2.1. Biological Follow-Up
Among these, 61.2% underwent follow-up at months 5 and 6, while 34.2% attended the 2-month check-up. The CHU-RN displayed markedly higher adherence (95.5%). Table 4 depicts patient distribution by month of biological monitoring post-treatment initiation.
Table 4. Follow-up months distribution.
Number of months of follow-up |
n |
% |
2-month follow-up |
38 |
34.2 |
3-month follow-up |
3 |
2.7 |
4-month follow-up |
2 |
1.8 |
5-month follow-up |
40 |
36.0 |
6-month follow-up |
28 |
25.2 |
Total |
111 |
100 |
Mycobacterial test results revealed positive AFB sputum smear tests in 3.6% of cases, positive AFB pellet smear tests in 5.4% of cases, and rifampicin resistance detected in 6.52% of cases (Table 5). A discrepancy between pre- and post-decontamination microscopy was noted in 7.2%, with 92.8% concordance.
Table 5. Results of the mycobacteria detection test.
Mycobacteria detection |
n |
% |
ED-Auramine Sputum |
111 |
|
Positive |
4 |
3.6 |
Negative |
107 |
96.4 |
ED-Auramine Culot |
111 |
|
Positive |
6 |
5.4 |
Negative |
105 |
94.6 |
Xpert MTB Ultra |
111 |
|
MTB Not Detected |
65 |
58.6 |
MTB Detected |
43 |
41.4 |
Detected High |
7 |
6.31 |
Detected Medium |
8 |
7.21 |
Low Detected |
20 |
18.02 |
Very Low Detected |
3 |
2.70 |
Trace Detected |
8 |
7.21 |
Rifampicin resistance |
46 |
|
Detected |
3 |
6.52 |
Not Detected |
37 |
80.43 |
Undetermined |
6 |
13.04 |
3.2.2. Culture and Drug Susceptibility
Of 111 cultures, 18.9% were positive, 75.7% negative, and 5.4% contaminated. Antibiograms were valid for 18 of 21 performed (86%). Among positive cultures, 33.33% showed resistance to first-line antituberculous drugs (Table 6).
Table 6. Results of susceptibility tests to first-line antituberculous drugs.
Drug Resistance |
n |
% |
Sensitive SIRE-PZA |
12 |
66.67 |
RIF mono resistance |
1 |
5.56 |
Single resistance to INH |
1 |
5.56 |
RIF-INH-STR-EMB resistances |
1 |
5.56 |
INH-PZA resistances |
2 |
11.11 |
RIF-INH resistances |
1 |
5.56 |
4. Discussion
This study revealed that only 52.8% of patients across ten provinces had adequate biological monitoring, corroborating findings from other sub-Saharan African settings where adherence frequently remains insufficient [3]. Ngahane et al. [4] in Cameroon reported a similar 54% adherence, while Abay et al. [5] in Ethiopia found 67%. Socioeconomic and geographic determinants such as low social coverage, remoteness from diagnostic and treatment centers, and low education hinder access and compliance, as also reported elsewhere [3] [6].
The CHU-RN displayed markedly higher adherence (95.5%), undoubtedly reflecting centralized quality care, access to adequate equipment and appropriately trained staff. Our study showed that the CHU-RN is the largest center in the country for TB care. In our study, overall patient follow-up at CHU-RN represented 88.2% of cases. However, the situation remains mixed in the periphery where monitoring remains partially deficient due to a lack of equipped laboratories, a shortage of qualified personnel, limited access to molecular tests and variability in compliance with control schedules. Furthermore, the significant drop in biological monitoring after the first two months, observed in our study group, likely explains the decrease in follow-up visits observed in our cohort, which corroborates the study by Mukadi et al. [7] (2023) in Uganda. This situation highlights the critical importance of adherence to follow-up during the prolonged course of treatment. This lack of follow-up contributes to bacterial persistence and the development of resistance, as evidenced by the discovery of rifampicin resistance in patients, even at the beginning of treatment (3.36% resistance identified by GeneXpert). Cases of Nontuberculous Mycobacteria (NTM) undetected by GeneXpert but positive on microscopy stress the need for complementary diagnostics per recent WHO recommendations [8]. TB/HIV co-infection is a major problem, and international guidelines recommend systematic HIV testing for all TB patients. HIV status was documented for only 15/5811 patients in the provincial cohort (0.26 %), with one HIV/TB co-infected case (6,67%). Togde et al. [9] reported a 7.4% TB/HIV co-infection rate at CHU-RN, highlighting that the extremely low proportion observed in our study mainly reflects missing HIV data rather than a truly low burden. HIV coinfection, although infrequently documented here, has been associated with poorer monitoring and outcomes in comparable settings [10] [11]. Follow-up was particularly inadequate among men, patients with low levels of education, or those without health insurance, but these associations were not tested using multivariate analysis. GeneXpert only detects the Mycobacterium tuberculosis complex and can therefore be negative in cases of NTM, while microscopy remains positive, underscoring the need for culture and species identification when treatment failure is suspected. Without these tools, patients may remain on inappropriate TB regimens, with unnecessary toxicity and delayed NTM-specific management. Material limitations like uneven distribution of equipped labs call for enhanced decentralized capacities to minimize loss to follow-up. Alarmingly, one-third of positive cultures exhibited resistance to first-line drugs, signaling an urgent need for strengthened surveillance and MDR-TB management in Chad, consonant with WHO 2024 guidelines [8]. Microscopy discordance between pre- and post-decontamination in 7.2% of cases highlights the need for training and improved laboratory protocols. Decentralizing GeneXpert to district hospitals at the primary level of the Chadian health system is essential to extend biological monitoring beyond provincial capitals [12] and avoid penalizing patients who cannot afford referral-level travel.
5. Conclusion
Biological monitoring is better at CHU-RN than in provincial settings but remains insufficient over time, with a sharp drop in follow-up after the second month. Provincial and rural areas face particularly marked deficits, which impede treatment success, promote resistant TB forms and pose critical public health threats. Decentralizing GeneXpert to district hospitals, combined with continuous healthcare worker training and innovative patient-engagement strategies, is essential to ensure equitable biological monitoring and effective TB control across Chad.
Ethical Considerations
This study received approval from the Ministry of Public Health and Prevention of Chad (number 4238/MSPSN/SE/DG/DGTPRC/DPERO/SRO/2020) and from the Ministry of Scientific Research. Patient informed consent was waived given the anonymized data collected during routine care.
Acknowledgements
We extend our thanks to the laboratory technicians at the CHU-RN for their contribution to data and sample collection, and to those at the CHU Arnaud de Villeneuve de Montpellier in Montpellier for their contribution to the various laboratory analyses. We also thank the staff of Service de Pneumo-phtisiologie of CHU-RN in N’Djamena for their invaluable cooperation during the sample collection period.