Latent tuberculosis infection, its treatment, and the control and elimination of tuberculosis.
Notice bibliographique
Résumé
Eliminating tuberculosis should be a high priority for public health practice for several reasons: it represents a massive burden global health in terms of costs; it is transmitted through the air we breathe, putting everyone at risk; and we have tools that are effective in targeting our activities [1]. Getting rid of latent infection must be a key component of any strategy aimed at the elimination of tuberculosis, since the largest burden of the causative microorganisms are carried by the high proportion of the world's population that is infected but does not (yet) have disease. This is particularly crucial because the microorganisms can cause a reactivation of disease, as well as potential new infection of others, many decades after the individual carrying the microorganisms has become infected. There is no question that the intervention ± i.e., medical therapy of latent tuberculosis infection ± is efficacious [2]. Moreover, the objective of screening and of offering the intervention has great merit and meets the criteria of aiming to detect unrecognized disease or its precursors in order that measures can be taken that will prevent or delay the development of disease or improve the prognosis [3], as well as the ethical requirements for implementation [4]. In this issue of IMAJ, the article by Bibi and colleagues [5] on the compliance with drug therapy for latent tuberculosis infection touches on the key issue in considering the role of this intervention in the control, and elimination, of tuberculosis. Even if the intervention is efficacious and relatively safe, it cannot hope have an impact on reducing the burden of disease unless it is applied a large proportion of the target group. The study reports that in only 16% of the probable actual number of infected individuals (taking into account those who did not complete the examination) was the intervention applied fully (i.e., the course of treatment was completed). The main reason for this low figure was the fact that many did not return for a further examination after being informed that they had a significant reaction the tuberculin skin test. A closer examination of this figure shows that in one of the highest risk groups (children born in other locations who had a high prevalence of significant skin reactions), only 5.5% of probable infected individuals completed the treatment. This low rate of adherence might reflect the fact that the screening was undertaken in a general population that did not have prior knowledge or reason be concerned about the disease. However, even in locations where health services are highly focused on encouraging participation and adherence the intervention, and where the individuals being examined are likely be aware of and concerned about the risk (e.g., contact with cases of active tuberculosis), the rate of completion of treatment remains low. In the Province of Alberta, Canada, a routine report of treatment outcome offered contacts revealed that the rate of completion of treatment among those detected have a significant reaction the tuberculin test was only 24% [6]. Even this is not sufficient have an epidemiologic impact. This is not even the whole story. In undertaking screening and preventive interventions for individuals who are not ill, it is important that the intervention itself not cause more harm than is prevented by the intervention. In an analysis of screening groups at risk of tuberculosis, we evaluated the probability of developing disease (and of developing the most infectious form, smear-positive pulmonary tuberculosis) in three groups that were required undergo routine screening examinations ± immigrants with and without radiographic evidence of healed tuberculosis, and healthcare workers [7]. We determined that in order prevent a single case of smear-positive pulmonary tuberculosis it would be necessary treat 30 immigrants who had a scar on their chest X-ray, 278 immigrants from high prevalence countries with normal chest X-rays, and 651 healthcare professionals. The cost of this intervention can be calculated in terms of potential toxicity [8]. In the groups evaluated, it was estimated that one of these adults would die of hepatitis for every 11 cases prevented in nurses, or every 233 cases prevented in immigrants with scars. Admittedly, these figures are not particularly relevant for the children in the study reported here by Bibi et al., but they do have relevance for the recommendations concerning rather aggressive treatment of latent tuberculosis infection among immigrants that are currently being proposed [9]. For all health-related activities, it is essential maintain a
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,007 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,005 |
| Communication savante | 0,003 | 0,003 |
| Science ouverte | 0,001 | 0,003 |
| Intégrité de la recherche | 0,007 | 0,010 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 0,002 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».