Discovery and validation of a personalized risk predictor for incident tuberculosis in low transmission settings

The risk of tuberculosis (TB) is variable among individuals with latent Mycobacterium tuberculosis infection (LTBI), but validated estimates of personalized risk are lacking. In pooled data from 18 systematically identified cohort studies from 20 countries, including 80,468 individuals tested for LT...

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Vydáno v:NATURE MEDICINE Ročník 26; číslo 12; s. 1941 - 1949
Hlavní autoři: Gupta, Rishi K., Calderwood, Claire J., Yavlinsky, Alexei, Krutikov, Maria, Quartagno, Matteo, Aichelburg, Maximilian C., Altet, Neus, Diel, Roland, Dobler, Claudia C., Dominguez, Jose, Doyle, Joseph S., Erkens, Connie, Geis, Steffen, Haldar, Pranabashis, Hauri, Anja M., Hermansen, Thomas, Johnston, James C., Lange, Christoph, Lange, Berit, van Leth, Frank, Muñoz, Laura, Roder, Christine, Romanowski, Kamila, Roth, David, Sester, Martina, Sloot, Rosa, Sotgiu, Giovanni, Woltmann, Gerrit, Yoshiyama, Takashi, Zellweger, Jean-Pierre, Zenner, Dominik, Aldridge, Robert W., Copas, Andrew, Rangaka, Molebogeng X., Lipman, Marc, Noursadeghi, Mahdad, Abubakar, Ibrahim
Médium: Journal Article Publikace
Jazyk:angličtina
Vydáno: New York Nature Publishing Group US 01.12.2020
Nature Publishing Group
Témata:
692/308
692/499
692/53
692/699
Adolescent
Adult
Biomedical and Life Sciences
Biomedicine
Cancer Research
Child
Confidence intervals
Customization
Decision analysis
Decision making
Female
Humans
Identification and classification
Infectious Diseases
Latent Tuberculosis - diagnosis
Latent Tuberculosis - epidemiology
Latent Tuberculosis - microbiology
Lymphocytes
Lymphocytes T
Male
Metabolic Diseases
Molecular Medicine
Mycobacterium tuberculosis - pathogenicity
Neurosciences
Prognosis
Risk
Risk Factors
Risk factors (Health)
Risk groups
Statistical analysis
Tuberculin Test
Tuberculosis
Tuberculosis - diagnosis
Tuberculosis - epidemiology
Tuberculosis - microbiology
United Kingdom
ISSN:1078-8956, 1546-170X, 1546-170X
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Shrnutí:The risk of tuberculosis (TB) is variable among individuals with latent Mycobacterium tuberculosis infection (LTBI), but validated estimates of personalized risk are lacking. In pooled data from 18 systematically identified cohort studies from 20 countries, including 80,468 individuals tested for LTBI, 5-year cumulative incident TB risk among people with untreated LTBI was 15.6% (95% confidence interval (CI), 8.0–29.2%) among child contacts, 4.8% (95% CI, 3.0–7.7%) among adult contacts, 5.0% (95% CI, 1.6–14.5%) among migrants and 4.8% (95% CI, 1.5–14.3%) among immunocompromised groups. We confirmed highly variable estimates within risk groups, necessitating an individualized approach to risk stratification. Therefore, we developed a personalized risk predictor for incident TB (PERISKOPE-TB) that combines a quantitative measure of T cell sensitization and clinical covariates. Internal–external cross-validation of the model demonstrated a random effects meta-analysis C-statistic of 0.88 (95% CI, 0.82–0.93) for incident TB. In decision curve analysis, the model demonstrated clinical utility for targeting preventative treatment, compared to treating all, or no, people with LTBI. We challenge the current crude approach to TB risk estimation among people with LTBI in favor of our evidence-based and patient-centered method, in settings aiming for pre-elimination worldwide. The risk of developing active tuberculosis (TB) in individuals with latent TB infection is highly variable within and among different risk groups. A personalized risk predictor was developed to better target preventative treatment to individuals at greatest risk, supporting evidence-based clinical decision-making for latent TB.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:1078-8956
1546-170X
1546-170X
DOI:10.1038/s41591-020-1076-0