To the Editor:
Globally, a third of all tuberculosis (TB) cases are not notified and many patients do not receive drug susceptibility testing (DST) [1]. New diagnostics can contribute to increased case detection, shorter diagnostic delay and reduced TB transmission. While the Xpert MTB/RIF assay (Cepheid Inc., Sunnyvale, CA, USA) is a much needed breakthrough [2], it may not reach lower tiers of the healthcare system [3] and doesn’t meet all needs (e.g. cannot detect resistance against multiple drugs).
Several promising diagnostics are under development and companies are showing interest in TB products, inspired by the success of Xpert MTB/RIF [4]. But which new TB diagnostics should they invest in, and what is the potential market size for these products? Stakeholders have expressed a need for different products, including a test for childhood TB [5], a simple point-of-care-test for active pulmonary TB [6], a molecular smear replacement test [7], DST for expected new drug regimens [8], predictive biomarkers for latent TB infection (LTBI) [9], and treatment monitoring [10].
Given the variety of these needs, it is important for product developers to have access to: 1) a clearly identified list of diagnostics that are considered high priority by the TB community; 2) well developed, detailed target product profiles (TPPs) for priority diagnostics; and 3) up-to-date market size estimates for the priority TPPs. These issues are being addressed by ongoing activities, supported by the Bill and Melinda Gates Foundation (Seattle, WA, USA) and other partners [3, 7, 11].
TPPs are useful to align the end-users needs with the targets and specifications that product developers should meet. TPPs should state the clinical purpose of a test, goal to be met (e.g. start treatment), target population, implementation level in the healthcare system, and likely end-users (unpublished observations).
In 2013, participants at a TB Modelling and Analysis Consortium (TB MAC) meeting on diagnostics identified a list of diagnostic needs that could be developed into TPPs (unpublished observations). Using this list of nine potential TPPs (fig. 1), we conducted a priority-setting exercise to identify the highest priority tests for TPP development and investment in research and development. For each of the potential TPPs, hereafter called TPPs, 10 criteria were used to set priorities, including prioritisation by key stakeholders, potential impact of the test on TB transmission, morbidity and mortality, market potential and implementation and scalability of the test.
Prioritisation of target product profiles for new diagnostics according to 10 criteria. Colours reflect the number of points attributed for each answer option, where a darker colour corresponds to more points. TB: tuberculosis; ART: antiretroviral therapy.
Five different predefined expert groups (≥10 individuals each) were asked to rate one or two criteria in their field of expertise. 10 patient and community advocates, which included members of civil society groups such as the Treatment Action Group and Global TB Community Advisory Board, and 11 field practitioners/clinicians, primarily surveyed by Médecins Sans Frontières, rated the prioritisation for their respective stakeholders group. 10 experts from national TB programmes in 10 countries rated the prioritisation from a programmatic perspective and the potential for scale up. 11 TB modellers, mostly members of TB MAC, rated the potential impact of tests on reducing TB incidence and TB morbidity and mortality in the medium term (5 years). 11 market and technical experts, including donor agency representatives, rated the potential global market size for products when fully scaled up and their potential to reach the market in the next 5 years.
Experts were asked to rate each relevant criterion as high, medium or low priority and maximally rate five TPPs as high per criterion. The answer most often given in each group was taken as their consensus. When two answers were mentioned equally, both were reported. Priorities according to researchers and the test’s potential to be used as a point-of-care-test, according to the definition proposed by the TB MAC meeting participants (unpublished observations) and Pai et al. [12], were rated by our team, in conjunction with recent publications that addressed research priorities [13, 14]. The final priority rank of the TPPs was determined by the sum score for all 10 criteria, where 3, 2, 1, 2.5 and 1.5 points were attributed for consensus answers that were high, medium, low, medium-high or low-medium, respectively.
A response was received from 53 (78%) out of 68 contacted stakeholders. figure 1 shows the consensus answers for all TPPs. A rapid, sputum-based, molecular test for microscopy centres (with the option of add-on DST cartridge) ranked highest (score 29.5), followed by a rapid biomarker-based, instrument-free test for non-sputum samples (that also detects childhood and extrapulmonary TB) (score 28). The low likelihood of the latter test to reach the market in the next 5 years resulted in its slightly lower overall score compared to the former. In particular, for the biomarker-based test, there was a high degree of agreement within each group; 60% (national TB programmes) and 91% (patient and community advocates and field practitioners) of responders in these groups rated it highly.
TPPs that ranked 3 through to 5 in priority were tests that would not directly confirm TB, but would be used as rule-in (systematic screening test) or rule-out tests (triage test or rule-out TB test for HIV-infected individuals). These TPPs ranked lower on their ability to reduce TB morbidity and mortality or TB incidence, and their market potential was thought to be less than that of some other TPPs. In addition, there was more heterogeneity in rates given by stakeholders.
The lowest ranked TPPs included a predictive LTBI test (ranked sixth), a test for TB treatment response (seventh), a multiplexed test that simultaneously detects active TB and other infectious diseases (eighth), and a centralised and high-throughput DST for current and new treatment regimens (ninth).
Overall, our results show a high degree of consensus for the top two priority TPPs, judged by 10 criteria. Based on these results, efforts are underway to develop detailed TPPs for the rapid sputum-based molecular test and a biomarker-based assay (ranked first and second), as well as for a triage test (third). In parallel, a TPP for a rapid DST for new drug regimens is being developed under the aegis of the Foundation of Innovative New Diagnostics and the Critical Path to TB drug Regimen Initiative. All these TPPs will be reviewed at a consensus meeting on High Priority Target Product Profiles for TB diagnostics, organised by the World Health Organization, in conjunction with the Global Laboratory Initiative and New Diagnostics Working Groups of the Stop TB Partnership in order to reach consensus on their specifications.
Our priority-setting exercise had strengths and limitations. Strengths included the wide variety of stakeholders from different institutions and countries that participated. Despite this, results may have been influenced by our stakeholder selection. A probabilistic sample would have been desirable, but difficult to execute. Moreover, the criteria chosen for our ranking received equal weights in our final score, and we did not ask stakeholders to make any trade-offs across criteria, although some may arguably be more important than others. Lastly, we acknowledge that priorities may differ across various epidemiological settings (e.g. TB, HIV and multidrug-resistant TB prevalence, and access to care).
Despite these limitations, for the first time we have identified the TPPs that should be prioritised for investment and research and development. This should be of value to product developers, investors and end-users. Efforts are now underway to quantify the potential market value around the various priority TPPs. For the highest ranked TPP, the market value estimate was recently published [11].
Acknowledgments
We are grateful to all the survey respondents for their time and support.
Footnotes
Support statement: This work was supported by the Bill and Melinda Gates Foundation (grant OPP1061487). Madhukar Pai is supported by the Fonds de recherche du Québec - Santé (FRQS). Claudia M. Denkinger is supported by a Richard Tomlinson Fellowship at McGill University (Montreal, Canada) and a fellowship of the Burroughs-Wellcome Fund from the American Society of Tropical Medicine and Hygiene (Deerfield, IL, USA). The funders had no role in the analysis of data and decision to publish.
Conflict of interest: Disclosures can be found alongside the online version of this article at erj.ersjournals.com
- Received February 10, 2014.
- Accepted March 6, 2014.
- ©ERS 2014