Exhaled Mycobacterium tuberculosis Predicts Incident Infection in Household Contacts.
Exhaled Mycobacterium tuberculosis Predicts Incident Infection in Household Contacts.
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DOI:
10.1093/cid/ciac455
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发表时间:
2023-02-08
期刊:
影响因子:
--
通讯作者:
中科院分区:
文献类型:
--
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Halting transmission of Mycobacterium tuberculosis (Mtb) by identifying infectious individuals early is key to eradicating tuberculosis (TB). Here we evaluate face mask sampling as a tool for stratifying the infection risk of individuals with pulmonary TB (PTB) to their household contacts. Forty-six sputum-positive PTB patients in The Gambia (August 2016–November 2017) consented to mask sampling prior to commencing treatment. Incident Mtb infection was defined in 181 of their 217 household contacts as QuantiFERON conversion or an increase in interferon-γ of ≥1 IU/mL, 6 months after index diagnosis. Multilevel mixed-effects logistical regression analysis with cluster adjustment by household was used to identify predictors of incident infection. Mtb was detected in 91% of PTB mask samples with high variation in IS6110 copies (5.3 × 102 to 1.2 × 107). A high mask Mtb level (≥20 000 IS6110 copies) was observed in 45% of cases and was independently associated with increased likelihood of incident Mtb infection in contacts (adjusted odds ratio, 3.20 [95% confidence interval, 1.26–8.12]; P = .01), compared with cases having low-positive/negative mask Mtb levels. Mask Mtb level was a better predictor of incident Mtb infection than sputum bacillary load, chest radiographic characteristics, or sleeping proximity. Mask sampling offers a sensitive and noninvasive tool to support the stratification of individuals who are most infectious in high-TB-burden settings. Our approach can provide better insight into community transmission in complex environments. Face mask sampling offers a novel clinical tool that informs infectiousness of pulmonary tuberculosis (TB) more reliably than sputum bacillary load and has the potential to transform public health interventions in high-TB-burden settings.
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DOI:
10.1016/s2213-2600(17)30060-7
发表时间:
2017-04
期刊:
The Lancet. Respiratory medicine
影响因子:
--
作者:
Andrews JR;Nemes E;Tameris M;Landry BS;Mahomed H;McClain JB;Fletcher HA;Hanekom WA;Wood R;McShane H;Scriba TJ;Hatherill M
通讯作者:
Hatherill M
影响因子:
--
作者:
Patterson, Benjamin;Morrow, Carl;Wood, Robin
通讯作者:
Wood, Robin
影响因子:
9.4
作者:
Kamerbeek, J;Schouls, L;vanEmbden, J
通讯作者:
vanEmbden, J
DOI:
10.1164/rccm.201409-1704oc
发表时间:
2015-03-01
影响因子:
24.7
作者:
Andrews, Jason R.;Hatherill, Mark;Scriba, Thomas J.
通讯作者:
Scriba, Thomas J.
影响因子:
3.7
作者:
Acuña-Villaorduña C;Schmidt-Castellani LG;Marques-Rodrigues P;White LF;Hadad DJ;Gaeddert M;Ellner JJ;Fennelly KP;Palaci M;Dietze R;Jones-López EC
通讯作者:
Jones-López EC