1. Introduction
Tuberculosis (TB) is a bacterial infection primarily caused by
Mycobacterium tuberculosis. It mainly targets the lungs but can also spread to other organs, leading to severe health complications. The disease is transmitted through airborne droplets, and common symptoms include persistent cough, chest pain, fatigue, fever, night sweats, and weight loss [
1] Tuberculosis remains a significant global health issue, with
Mycobacterium tuberculosis complex (MTBC) presenting significant challenges in both its diagnosis and therapeutic management [
2]. This complex belongs to the
Mycobacteriaceae family, which includes a diverse group of bacteria exhibiting various levels of pathogenicity in humans and animals. These bacteria are generally non-spore-forming, aerobic, and non-motile, characterized by a unique acid-fast cell wall rich in mycolic acids, which makes them resistant to many conventional treatments [
3]. The
Mycobacterium genus comprises several closely related species, with
M. tuberculosis being the most significant pathogen.
According to the latest World Health Organization (WHO) Global Tuberculosis Report 2024 [
4], 10.8 million people were diagnosed with tuberculosis globally in 2023, reflecting a slight increase from 10.7 million in 2022. This corresponds to an incidence rate of 134 cases per 100,000 people. Among these cases, approximately 6.1% involved people with HIV. The highest percentage of TB cases was recorded in the South-East Asia Region (45%), Africa (24%), and the Western Pacific (17%). Lower proportions were observed in the Eastern Mediterranean (8.6%), the Americas (3.2%), and Europe (2.1%). Despite some progress, including a decline in TB deaths from 1.32 million in 2022 to 1.25 million in 2023, tuberculosis has once again become the leading cause of death from a single infectious agent, surpassing COVID-19. According to epidemiological data from Poland [
5], in 2023, 4231 cases of tuberculosis were reported, including 4077 cases of pulmonary TB. The overall incidence rate was 11.2 per 100,000 population, with a higher prevalence among men (17.2 per 100,000) than women (5.6 per 100,000). Additionally, 45 cases were recorded among children and 60 among adolescents.
Multidrug-resistant (MDR) strains of
M. tuberculosis have emerged as a serious concern, necessitating advanced diagnostic techniques and effective treatment strategies. Multidrug-resistant tuberculosis continues to pose a challenge, with 89 MDR-TB cases identified in 2023 in Poland, alongside 11 cases resistant to rifampicin [
5]. Although these numbers indicate a slight decline from 2022, when 98 MDR-TB cases were recorded, the implications for public health are profound, as MDR-TB is associated with prolonged treatment, higher costs, and increased mortality [
2]. This highlights the need for effective diagnostic and treatment strategies.
Standard tuberculosis treatment regimens consist of four primary first-line medications: isoniazid (INH), rifampicin (RIF), pyrazinamide, and ethambutol. While streptomycin was once considered a first-line medication for tuberculosis, it is no longer commonly used due to increasing drug resistance and side effects [
6,
7]. The choice of medications and the duration of tuberculosis treatment depend on form of the disease (active or latent), drug susceptibility, the patient’s immune status (e.g., HIV co-infection), age, body weight, and potential drug interactions. A major concern in TB therapy is the development of multidrug-resistant tuberculosis (MDR-TB), which is characterized by resistance to at least isoniazid and rifampicin [
8].
Isoniazid is a prodrug activated by bacterial catalase-peroxidase (katG), resulting in the formation of an inactive analogue of nicotinamide adenine dinucleotide (NAD). This leads to the inhibition of mycolic acid synthesis, a crucial element of the mycobacterial cell wall, resulting in structural damage and ultimately the death of the bacterial cell. Mutations in the
katG gene are the primary mechanism for INH resistance. Additionally, alterations in genes such as
inhA,
ahpC,
kasA,
ndh,
iniABC,
fadE,
furA,
Rv1592c, and
Rv1772 also contribute to this resistance pattern. Recent studies have also highlighted the involvement of efflux genes in isoniazid resistance, as well as substitutions in
nat,
fabD, and
accD genes [
9].
Rifampicin is a semi-synthetic antibiotic that works by binding to DNA-dependent RNA polymerase, temporarily blocking its activity, which in turn disrupts bacterial protein synthesis and transcription processes. Rifampicin exhibits strong bactericidal activity against
M. tuberculosis, found both intracellularly and extracellularly, as well as against atypical mycobacteria and
M. leprae [
6]. Resistance to rifampicin in tuberculosis is primarily caused by mutations in the
rpoB gene, which encodes the β subunit of RNA polymerase in
M. tuberculosis. These mutations most frequently occur in the rifampicin resistance determining region (RRDR) and result in structural changes in the enzyme, preventing rifampicin from effectively binding to RNA polymerase. As a consequence, the bacteria become resistant to the antibiotic. Approximately 90–95% of RIF-resistant isolates have been identified as having mutations in the
rpoB gene. However, the resistance mechanism in the remaining 5% is unclear, suggesting that other factors, such as lowered cell wall permeability or an enhanced efflux pump, may play a role [
10].
Traditional methods for diagnosing tuberculosis include smear microscopy, culture, immunological tests, and nucleic acid amplification techniques (NAAT) (
Figure 1). Although culture remains the gold standard due to its high sensitivity, it is time-consuming, requiring up to 6 weeks for results. In contrast, molecular diagnostic techniques such as PCR allow for the faster detection of
M. tuberculosis DNA directly from clinical specimens, providing results within a few hours and significantly improving early diagnosis and patient management. However, positive molecular results still require confirmation by culture and susceptibility testing, especially in cases with discrepant findings.
Among molecular diagnostic platforms, the BD MAX MDR-TB assay offers a practical and efficient solution for the rapid detection of multidrug-resistant tuberculosis. It is a relatively new and WHO-approved molecular test for the rapid diagnosis of multidrug-resistant tuberculosis by detecting MTB DNA along with simultaneous resistance to antibiotics. In comparison to the GeneXpert MTB/RIF system, which primarily detects rifampicin resistance, BD MAX identifies resistance to both rifampicin and isoniazid [
11]. Although there is a newer version of the GeneXpert test, i.e., the MTB/XDR assay, which extends detection to isoniazid and selected second-line drugs, its availability remains limited in many clinical settings. The MTB/XDR assay, introduced in 2021, requires upgraded GeneXpert platforms (10-color modules), making its adoption slower due to higher costs and infrastructure demands [
12,
13]. In turn, BD MAX features a high level of automation, allowing for the processing of up to 24 samples per run. The BD MAX MDR-TB assay is particularly well-suited for central laboratories where large numbers of samples are tested and there is a need for minimal operator hands-on time. The cost-effectiveness of the BD MAX system and its compatibility with various laboratory settings make it an attractive option for expanding tuberculosis diagnostics in low- and middle-income countries, where the burden of multidrug-resistant tuberculosis is particularly high [
11]. While whole-genome sequencing (WGS) provides comprehensive resistance profiling, it remains technically challenging, cost-intensive, and less feasible for routine clinical use due to prolonged result delivery times (several days) and the need for specialized bioinformatics analysis [
14]. Moreover, in low- and middle-income countries, the high costs, technical requirements, and need for specialized infrastructure make WGS even more difficult to implement, limiting its practicality in these regions. Therefore, BD MAX offers a valuable balance between diagnostic speed, range, automation, and cost-effectiveness
A crucial aspect of tuberculosis control is not only the rapid detection of the disease but also the effective identification of MDR strains. Traditional culture-based methods, while reliable, are time-consuming, requiring weeks to yield results. In contrast, molecular diagnostic techniques have demonstrated significant advantages in detecting drug-resistant MTB strains swiftly and accurately [
15,
16]. Implementing these technologies on a broader scale could substantially improve TB control efforts in Poland and worldwide.
In light of these challenges, effective control of multidrug-resistant tuberculosis requires continuous monitoring, improvements in diagnostic techniques, and the strengthening of public health measures. Solving this problem requires a coordinated effort from healthcare professionals, researchers and society to ensure early diagnosis, appropriate treatment and effective prevention strategies. Therefore, the aim of our study was to evaluate the usefulness of the BD MAX MDR-TB (Becton Dickinson, Franklin Lakes, NJ, USA) for the rapid detection of multidrug-resistant tuberculosis.
3. Results
The results obtained using the BD MAX MDR-TB test were interpreted according to the manufacturer’s recommendations (BD MAX MDR-TB assay IFU, Becton Dickinson, Franklin Lakes, NJ, USA) and are summarized below (
Table 1).
DNA of MTB was detected in 79 samples using the BD MAX system. Mutations were detected in 22 (27.8%) samples (
Table 2), with confirmation in culture obtained for 71 of these samples.
In 65 of these samples, the amount of genetic material was sufficient for the identification of resistance genes (
Table 3).
A complete correlation between the molecular results and AST results was obtained for rifampicin (
Table 4). For all 15 samples with an
rpoB mutation, the AST performed after culturing
M. tuberculosis showed phenotypic resistance to rifampicin. In 14 of these samples, the BD MAX MDR-TB test also detected genotypic resistance to isoniazid. Additionally, no strains resistant to rifampicin were cultured from any of the samples without an
rpoB mutation.
Out of 21 samples with a detected isoniazid resistance gene, phenotypic resistance to this drug was observed in the cultured strains. Similarly, from 32 samples without the detected isoniazid resistance gene, phenotypically sensitive strains were cultured. In the case of four samples, the BD MAX MDR-TB test did not detect isoniazid resistance genes; however, the AST results identified the cultured strains as phenotypically resistant (with 93% agreement for isoniazid) (
Table 5).
To resolve these discrepancies, the Xpert MTB/XDR molecular test, which detected four isoniazid-related gene mutations, was used. This confirmed the absence of mutations in inhA and katG, while mutations in ahpC were detected in two strains, and mutations in fabG1 were found in another two strains. The lack of correlation between the BD MAX MDR-TB test and AST regarding isoniazid resistance in these four strains is therefore attributed to the presence of other gene mutations associated with isoniazid resistance, which are not detected by the BD MAX MDR-TB test.
Additionally, three of these samples were both genotypically and phenotypically sensitive to rifampicin (not MDR strains), while one strain, which showed an rpoB mutation through the BD MAX MDR-TB test, was also phenotypically resistant to rifampicin (MDR strain).
4. Discussion
The obtained results confirm the high effectiveness of the BD MAX system in detecting MTB DNA and identifying resistance genes for rifampicin and isoniazid. The complete correlation between molecular and phenotypic results for rifampicin suggests that the BD MAX MDR-TB test is a reliable tool for identifying rpoB mutations, which are crucial for resistance to this drug. All samples in which an rpoB mutation was detected were phenotypically resistant to rifampicin, and in samples without this mutation, phenotypic resistance was not observed. This high concordance (100%) indicates the excellent predictive value of the BD MAX test in detecting rifampicin resistance, which is crucial since rifampicin is a key component of the first-line therapy of tuberculosis-suffering patients. However, the observed discrepancies in the case of isoniazid indicate slight limitations in detecting all potential mutations associated with resistance to this antibiotic. For isoniazid, a 93% concordance was obtained between the BD MAX test results and AST. Four samples in which BD MAX MDR-TB did not detect resistance were phenotypically resistant to isoniazid. Further analysis using the Xpert MTB/XDR test revealed the presence of mutations in the ahpC and fabG1 genes, which are associated with isoniazid resistance but are not included in the detection range of the BD MAX MDR-TB test. These findings underscore the clinical importance of understanding the mutation spectrum in M. tuberculosis and adapting diagnostic algorithms accordingly. In settings with a high burden of drug-resistant TB, integrating BD MAX with additional molecular or sequencing-based methods can optimize detection and guide more effective treatment strategies.
Our results are consistent with those obtained by other researchers. Ciesielczuk et al. [
17] analyzed 128 samples using BD MAX MDR-TB and compared them with smear and liquid culture results, as well as with the Xpert MTB/RIF assay. In their study, the BD MAX MDR-TB test demonstrated a concordance of 92% with the reference laboratory results in identifying resistance to rifampicin and isoniazid. Moreover, the BD MAX MDR-TB assay was comparable with the performance of the Xpert MTB/RIF assay [
17]. In turn, in the study conducted by Shah et al., 1053 participants were recruited, and among patients with confirmed tuberculosis, the sensitivity of the BD MAX test was 93% (262/282), and the specificity was 97% (593/610) among participants with negative cultures on raw sputum samples. For samples that tested positive on fluorescence microscopy (smear-positive), the BD MAX test showed a sensitivity of 100% (175/175), whereas for smear-negative samples, the sensitivity was 81% (87/107). Sensitivity and specificity for rifampicin resistance obtained using BD MAX compared with phenotypic drug susceptibility testing were 90% and 95%, respectively. In turn, sensitivity for the detection of isoniazid resistance was lower (82%); however, the specificity was 100% [
11]. Armstrong et al. assessed the diagnostic performance of the BD MAX assay for detecting MTBC and drug resistance in extrapulmonary samples spiked with MTBC from the Johns Hopkins strain collection. A total of 1083 tests were conducted on various sample types, showing an overall agreement rate of 94.8% (795/839) for detecting MTBC. For identifying resistance mutations, the agreement was 99% (379/383) for isoniazid and 96.4% (323/335) for rifampicin [
18]. Another study published by Sagiroglu et al. [
19] demonstrated a high correlation between
rpoB mutations detected by BD MAX and phenotypic resistance to rifampicin. This aligns with our results, which also showed a 100% concordance between molecular and phenotypic rifampicin resistance detection. However, it is important to highlight that while BD MAX provides a rapid and accurate diagnostic tool, it has certain operational limitations that may affect its application in different healthcare settings. BD MAX requires specialized laboratory equipment, trained personnel, and regular maintenance, which could limit its deployment in low-resource environments.
Regarding isoniazid resistance, the study noted that while the BD MAX test efficiently detected the majority of resistant strains, cases leading to isoniazid resistance were missed. This resulted in a lower concordance rate (sensitivity = 71.4%) compared to rifampicin resistance detection. Similarly, our findings show a lower agreement between BD MAX and phenotypic AST results for isoniazid resistance, with discrepancies in four samples. Additional testing using Xpert MTB/XDR identified mutations in the
ahpC and
fabG1 genes in these cases, highlighting the limitations of BD MAX in detecting certain isoniazid resistance mechanisms. The results of the study conducted by Ko et al. [
20] are particularly interesting, as they yielded divergent results compared to ours and those of the other researchers mentioned above. Korean scientists showed that sensitivity for detecting isoniazid resistance was 100% using BD MAX. This contrasts with our findings, where four phenotypically resistant strains were not identified as resistant by BD MAX, as mentioned earlier. Interestingly, the same study reported that BD MAX had a sensitivity of only 50% in detecting rifampicin resistance, with one false-negative result, which differs from our results, where a 100% correlation was observed between
rpoB mutations detected by BD MAX and phenotypic resistance to rifampicin. These discrepancies highlight the importance of the local validation of molecular assays before their widespread implementation. In addition, evaluating the cost-effectiveness of introducing BD MAX into national tuberculosis control programs is crucial. Although BD MAX requires significant initial investment for equipment and operational costs, its rapid turnaround time, providing results within 4 h, can lead to faster treatment initiation, which may reduce transmission rates and improve patient outcomes. For low- and middle-income settings, combining BD MAX with more affordable phenotypic tests can optimize resource management, enhancing diagnostic accuracy while maintaining cost-effectiveness. By improving early detection and treatment outcomes, BD MAX has the potential to reduce the burden of multidrug-resistant tuberculosis. Moreover, integrating rapid molecular tests into existing TB control programs can significantly enhance disease management efficiency and contribute to long-term savings in healthcare by preventing the spread of resistant strains. Sample type, sample amount, or mutation prevalence may also influence the observed differences. The factors leading to false-negative results in molecular methods for detecting rifampicin resistance have been infrequently examined. However, previous research has pointed out that some strains with the L533P mutation remain susceptible by molecular test. Furthermore, around 4% of rifampicin resistance cases are attributed to mutations located outside the
rpoB gene [
21,
22,
23]. These findings indicate that while BD MAX performs well in detecting drug-resistant TB, its accuracy can vary based on mutation distribution.
To summarize, the study results confirm the high effectiveness of the BD MAX MDR-TB test in detecting rifampicin resistance while also highlighting its limitations in identifying the full spectrum of mutations associated with isoniazid resistance. It was demonstrated that mutations in ahpC and fabG1, which are not detected by BD MAX MDR-TB, can lead to phenotypic isoniazid resistance, emphasizing the need for additional molecular tests in the diagnosis of drug-resistant tuberculosis.