Enormous infectious disease pandemics have bracketed my career
in medicine to this point. I entered medical school in the fall of 1981. Just a few
months earlier, the first cases of a strange syndrome of previously rare infections
began to affect mostly gay men and intravenous drug users in cities in the United
States. So began the HIV epidemic. For the first 15–20 years of my career in
medicine, AIDS was the dominant infectious disease challenge in the hospitals in which I
worked and in many others around the world. Today, for people fortunate enough to have
access to medication, treatment provides excellent control of the virus and a
satisfactory quality of life for decades. As of this writing, we are in the midst of
another infectious disease pandemic, caused by the novel severe acute respiratory
syndrome coronavirus 2 (SARS-CoV-2) virus that has so far killed close to 500,000
persons in 2020. Several phase 3 trials of novel and repurposed drugs have been
initiated and even completed. At least two vaccine candidates are already in or nearing
phase 3 trials, mere months after the first cases of coronavirus disease (COVID-19) were
reported.Throughout this whole period, tuberculosis (TB) has persisted, a stubborn and deadly
presence in many countries in the world, mostly in low- and middle-income nations. In
2020, TB will still likely kill more people than any other infectious disease caused by
a single pathogen. Effective prevention and treatment of TB has existed for nearly 70
years. That TB remains as a leading cause of morbidity and mortality is a scandal of a
particular sort. Even worse, multidrug-resistant strains of TB came to worldwide
attention almost 30 years ago (1), but the
challenge of multidrug-resistant TB (MDR-TB) is nowhere near under control (2). We are still struggling to discover the best
ways to prevent and treat this particular form of the disease—to identify the
best combination of antibiotics, dosages, and duration of therapy.In this issue of the Journal, Huang and colleagues (pp. 1159–1168) report a most interesting and curious finding (3). They analyzed data from a prospectively
organized cohort of patients in Peru who were exposed in the household to someone with
TB and who, if under the age of 19 years, were treated with isoniazid (INH) according to
Peruvian national guidelines. Of 4,216 contacts under the age of 19 years, half received
INH. This treatment, unsurprisingly, was effective in reducing the overall incidence of
active disease that developed in contacts. However, in a very surprising finding, INH
also seemed to reduce the incidence of active TB in persons who had been exposed to an
index case with MDR-TB, which is by definition resistant to INH. How could this be?There have been prior reports of the effectiveness of INH in prevention of TB in
MDR-TB–exposed persons (4–8), but none of those cohorts were as large or as
rigorously analyzed as that in the present study. Two possible explanations immediately
come to mind. The first is that the MDR-TB strains to which contacts were exposed
exhibited only low-level INH resistance, and even standard preventive doses of INH were
able to prevent reactivation in latently infectedpersons, who harbor a very small
organism burden. The authors discount this possibility because they saw no difference in
rates of subsequent cases related to INH minimal inhibitory concentrations in the
isolates taken from the index case. A second possibility is that before being exposed by
the index cases identified in this study, contacts had already been exposed to
drug-susceptible TB and had latent infection on that basis. The authors discount this
second possibility because the secondary cases that did develop in the cohort usually
were caused by strains that genetically matched the index cases and were themselves drug
resistant. This is not entirely persuasive, as the cases of interest are really the
cases that did not develop, not the ones that did.This paper generated quite a bit of discussion among the reviewers and editors precisely
because of a lack of an apparent plausible mechanism that could explain the results.
When all was said and done, however, the rigor of the observations and the detailed
analysis of them convinced us that what the investigators have described is real, even
if the reasons for it are not readily apparent.The major limitation of an observational study, even one as carefully conducted and as
well analyzed as this one, is unmeasured confounding. It is possible that unmeasured or
residual confounders affected the results of this study. The best way to deal with the
problem of unmeasured or residual confounding is, of course, to conduct a randomized
controlled trial. The number of randomized controlled trials for latent or active TB
remains embarrassingly low. Although the challenges of conducting controlled trials in
TB are not trivial—most cases occur in resource-limited settings that often lack
a clinical trial infrastructure; TB trials take an inordinately long time because of the
nature of the disease itself; there is little industry sponsorship available to support
trials; and given its importance, TB is vastly underfunded by government agencies
relative to other illnesses—there will be little chance for dramatic progress
without them.In recent years, rifamycin-based regimens have come to the forefront for the treatment of
latent TB (9–11). In comparison with INH alone, these regimens have been shown
to be noninferior, generally shorter in duration, and better tolerated, particularly
regarding hepatotoxicity. Whether rifamycin-based regimens will have a similar effect in
contacts to MDR-TB cases will be an important question to answer.This study has important value for current programmatic activity in countries with a high
burden of MDR-TB and in the conduct of future clinical trials examining treatment for
latent TB in persons exposed to multidrug-resistant index cases. The proper and
ethically acceptable control group in such studies has been difficult to identify. The
paper by Huang and colleagues provides an excellent rationale for using INH as a control
arm in trials of patients exposed to MDR-TB index cases as opposed to placebo (12, 13).
This is in itself a very useful contribution. The challenge of MDR-TB must be met.
Authors: Chuan-Chin Huang; Mercedes C Becerra; Roger Calderon; Carmen Contreras; Jerome Galea; Louis Grandjean; Leonid Lecca; Rosa Yataco; Zibiao Zhang; Megan Murray Journal: Am J Respir Crit Care Med Date: 2020-10-15 Impact factor: 21.405
Authors: J T Denholm; D E Leslie; G A Jenkin; J Darby; P D R Johnson; S M Graham; G V Brown; A Sievers; M Globan; L K Brown; E S McBryde Journal: Int J Tuberc Lung Dis Date: 2012-08-03 Impact factor: 2.373
Authors: Dick Menzies; Menonli Adjobimey; Rovina Ruslami; Anete Trajman; Oumou Sow; Heejin Kim; Joseph Obeng Baah; Guy B Marks; Richard Long; Vernon Hoeppner; Kevin Elwood; Hamdan Al-Jahdali; Martin Gninafon; Lika Apriani; Raspati C Koesoemadinata; Afranio Kritski; Valeria Rolla; Boubacar Bah; Alioune Camara; Isaac Boakye; Victoria J Cook; Hazel Goldberg; Chantal Valiquette; Karen Hornby; Marie-Josée Dion; Pei-Zhi Li; Philip C Hill; Kevin Schwartzman; Andrea Benedetti Journal: N Engl J Med Date: 2018-08-02 Impact factor: 91.245
Authors: H Simon Schaaf; Robert P Gie; Magdalene Kennedy; Nulda Beyers; Peter B Hesseling; Peter R Donald Journal: Pediatrics Date: 2002-05 Impact factor: 7.124
Authors: Timothy R Sterling; M Elsa Villarino; Andrey S Borisov; Nong Shang; Fred Gordin; Erin Bliven-Sizemore; Judith Hackman; Carol Dukes Hamilton; Dick Menzies; Amy Kerrigan; Stephen E Weis; Marc Weiner; Diane Wing; Marcus B Conde; Lorna Bozeman; C Robert Horsburgh; Richard E Chaisson Journal: N Engl J Med Date: 2011-12-08 Impact factor: 91.245
Authors: Susan Swindells; Ritesh Ramchandani; Amita Gupta; Constance A Benson; Jorge Leon-Cruz; Noluthando Mwelase; Marc A Jean Juste; Javier R Lama; Javier Valencia; Ayotunde Omoz-Oarhe; Khuanchai Supparatpinyo; Gaerolwe Masheto; Lerato Mohapi; Rodrigo O da Silva Escada; Sajeeda Mawlana; Peter Banda; Patrice Severe; James Hakim; Cecilia Kanyama; Deborah Langat; Laura Moran; Janet Andersen; Courtney V Fletcher; Eric Nuermberger; Richard E Chaisson Journal: N Engl J Med Date: 2019-03-14 Impact factor: 91.245
Authors: A Pablos-Méndez; M C Raviglione; A Laszlo; N Binkin; H L Rieder; F Bustreo; D L Cohn; C S Lambregts-van Weezenbeek; S J Kim; P Chaulet; P Nunn Journal: N Engl J Med Date: 1998-06-04 Impact factor: 91.245
Authors: A L Kritski; M J Marques; M F Rabahi; M A Vieira; E Werneck-Barroso; C E Carvalho; G de N Andrade; R Bravo-de-Souza; L M Andrade; P P Gontijo; L W Riley Journal: Am J Respir Crit Care Med Date: 1996-01 Impact factor: 21.405
Authors: James A Seddon; Anthony J Garcia-Prats; Susan E Purchase; Muhammad Osman; Anne-Marie Demers; Graeme Hoddinott; Angela M Crook; Ellen Owen-Powell; Margaret J Thomason; Anna Turkova; Diana M Gibb; Lee Fairlie; Neil Martinson; H Simon Schaaf; Anneke C Hesseling Journal: Trials Date: 2018-12-20 Impact factor: 2.279