Nicola M Zetola1, Chawangwa Modongo2, Ogopotse Matsiri3, Tsaone Tamuhla4, Bontle Mbongwe5, Keikantse Matlhagela6, Enoch Sepako7, Alexandro Catini8, Giorgio Sirugo9, Eugenio Martinelli10, Roberto Paolesse11, Corrado Di Natale12. 1. Department of Radiation Oncology, University of Pennsylvania, Philadelphia, USA; School of Medicine, University of Botswana, Gaborone, Botswana; Botswana-UPenn Partnership, University of Pennsylvania, Gaborone, Botswana. Electronic address: nzetola@gmail.com. 2. Botswana-UPenn Partnership, University of Pennsylvania, Gaborone, Botswana. Electronic address: ntungwana@yahoo.co.uk. 3. Botswana-UPenn Partnership, University of Pennsylvania, Gaborone, Botswana. Electronic address: ogopotsem@bup.org.bw. 4. Botswana-UPenn Partnership, University of Pennsylvania, Gaborone, Botswana. Electronic address: tsaone.tamuhla@gmail.combontle. 5. Department of Environmental Sciences, University of Botswana, Gaborone, Botswana. Electronic address: mbongwe@mopipi.ub.bw. 6. School of Medicine, University of Botswana, Gaborone, Botswana. Electronic address: matlhagelak@mopipi.ub.bw. 7. School of Medicine, University of Botswana, Gaborone, Botswana. Electronic address: enoch.sepako@mopipi.ub.bw. 8. Department of Electronic Engineering, University of Rome Tor Vergata, Rome, Italy. Electronic address: catini@ing.uniroma2.it. 9. Centro di Ricerca, Ospedale San Pietro Fatebenefratelli, Rome, Italy. Electronic address: gsirugo@gmail.com. 10. Department of Electronic Engineering, University of Rome Tor Vergata, Rome, Italy. Electronic address: martinelli@ing.uniroma2.it. 11. Department of Chemical Science and Technology, University of Rome Tor Vergata, Rome, Italy. Electronic address: roberto.paolesse@uniroma2.it. 12. Department of Electronic Engineering, University of Rome Tor Vergata, Rome, Italy. Electronic address: dinatale@uniroma2.it.
Abstract
OBJECTIVES: We determined the performance of a sensor array (an electronic nose) made of 8 metalloporphyrins coated quartz microbalances sensors for the diagnosis and prognosis of pulmonary tuberculosis (TB) using exhaled breath samples. METHODS: TB cases and healthy controls were prospectively enrolled. Signals from volatile organic compounds (VOCs) in breath samples were measured at days 0, 2, 7, 14, and 30 of TB therapy and correlated with clinical and microbiological measurements. RESULTS: Fifty one pulmonary TB cases and 20 healthy HIV-uninfected controls were enrolled in the study. 31 (61%) of the 51 pulmonary TB cases were coinfected with HIV. At day 0 (before TB treatment initiation) the sensitivity of our device was estimated at 94.1% (95% confidence interval [CI], 83.8-98.8%) and specificity was 90.0% (95% CI, 68.3-98.8%) for distinguishing TB cases from controls. Time-dependent changes in the breath signals were identified as time on TB treatment progressed. Time-dependent signal changes were more pronounced among HIV-uninfected patients. CONCLUSION: The identification of VOCs' signals in breath samples using a sensor array achieved high sensitivity and specificity for the diagnosis of TB and allowed following signal changes during TB treatment.
OBJECTIVES: We determined the performance of a sensor array (an electronic nose) made of 8 metalloporphyrins coated quartz microbalances sensors for the diagnosis and prognosis of pulmonary tuberculosis (TB) using exhaled breath samples. METHODS: TB cases and healthy controls were prospectively enrolled. Signals from volatile organic compounds (VOCs) in breath samples were measured at days 0, 2, 7, 14, and 30 of TB therapy and correlated with clinical and microbiological measurements. RESULTS: Fifty one pulmonary TB cases and 20 healthy HIV-uninfected controls were enrolled in the study. 31 (61%) of the 51 pulmonary TB cases were coinfected with HIV. At day 0 (before TB treatment initiation) the sensitivity of our device was estimated at 94.1% (95% confidence interval [CI], 83.8-98.8%) and specificity was 90.0% (95% CI, 68.3-98.8%) for distinguishing TB cases from controls. Time-dependent changes in the breath signals were identified as time on TB treatment progressed. Time-dependent signal changes were more pronounced among HIV-uninfectedpatients. CONCLUSION: The identification of VOCs' signals in breath samples using a sensor array achieved high sensitivity and specificity for the diagnosis of TB and allowed following signal changes during TB treatment.
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