Rosarito Coronel Teixeira1, Mabel Rodríguez1, Nilda Jiménez de Romero2, Marcel Bruins3, Roscio Gómez1, Jan Bart Yntema4, Gilberto Chaparro Abente1, Jan Willem Gerritsen3, Wim Wiegerinck5, Domingo Pérez Bejerano1, Cecile Magis-Escurra6. 1. Instituto Nacional de Enfermedades Respiratorias y del Ambiente (INERAM), Asunción, Paraguay. 2. Instituto Nacional de Enfermedades Respiratorias y del Ambiente (INERAM), Asunción, Paraguay; Laboratorio Central de Salud Pública (LCSP), Asunción, Paraguay. 3. The eNose Company, Zutphen, The Netherlands. 4. Radboud University Medical Centre - Dekkerswald, Nijmegen, Groesbeek, The Netherlands. 5. Radboud University, Donders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen, Nijmegen, The Netherlands; Big4Data, Nijmegen, The Netherlands. 6. Radboud University Medical Centre - Dekkerswald, Nijmegen, Groesbeek, The Netherlands. Electronic address: cecile.magis-escurra@RadboudUMC.nl.
Abstract
INTRODUCTION: Tuberculosis (TB) is the leading cause of death due to an infectious disease worldwide. Especially in low-income countries, new diagnostic techniques that are accessible, inexpensive and easy-to-use, are needed to shorten transmission time and initiate treatment earlier. OBJECTIVE: We conducted a study with a handheld, point-of-care electronic nose (eNose) device to diagnose TB through exhaled breath. SETTING: This study includes a total of 110 patients and visitors of an expert centre of respiratory diseases in Asunción, Paraguay. TB diagnosis was established by culture of Mycobacterium tuberculosis complex and compared with the eNose results in two phases. RESULTS: The calibration phase, including only culture confirmed TB cases versus healthy people, demonstrated a sensitivity and specificity of 91% and 93% respectively. The confirmation phase, including all participants, showed a sensitivity of 88% and a specificity of 92%. The eNose showed high acceptance rate among participants, and was easy to operate. CONCLUSION: The eNose resulted in a powerful technique to differentiate between healthy people and TB patients. Its comfort, speed and usability promise great potential in vulnerable groups, in remote areas and hospital settings to triage patients with suspicion of TB.
INTRODUCTION:Tuberculosis (TB) is the leading cause of death due to an infectious disease worldwide. Especially in low-income countries, new diagnostic techniques that are accessible, inexpensive and easy-to-use, are needed to shorten transmission time and initiate treatment earlier. OBJECTIVE: We conducted a study with a handheld, point-of-care electronic nose (eNose) device to diagnose TB through exhaled breath. SETTING: This study includes a total of 110 patients and visitors of an expert centre of respiratory diseases in Asunción, Paraguay. TB diagnosis was established by culture of Mycobacterium tuberculosis complex and compared with the eNose results in two phases. RESULTS: The calibration phase, including only culture confirmed TB cases versus healthy people, demonstrated a sensitivity and specificity of 91% and 93% respectively. The confirmation phase, including all participants, showed a sensitivity of 88% and a specificity of 92%. The eNose showed high acceptance rate among participants, and was easy to operate. CONCLUSION: The eNose resulted in a powerful technique to differentiate between healthy people and TB patients. Its comfort, speed and usability promise great potential in vulnerable groups, in remote areas and hospital settings to triage patients with suspicion of TB.
Authors: Jan Heyckendorf; Sophia B Georghiou; Nicole Frahm; Norbert Heinrich; Irina Kontsevaya; Maja Reimann; David Holtzman; Marjorie Imperial; Daniela M Cirillo; Stephen H Gillespie; Morten Ruhwald Journal: Clin Microbiol Rev Date: 2022-03-21 Impact factor: 50.129
Authors: Antonia M I Saktiawati; Ymkje Stienstra; Yanri W Subronto; Ning Rintiswati; Jan-Willem Gerritsen; Henny Oord; Onno W Akkerman; Tjip S van der Werf Journal: PLoS One Date: 2019-06-13 Impact factor: 3.240
Authors: Antonia M I Saktiawati; David Dwi Putera; Althaf Setyawan; Yodi Mahendradhata; Tjip S van der Werf Journal: EBioMedicine Date: 2019-08-08 Impact factor: 8.143
Authors: Lili Kang; Lesley Workman; Heather J Zar; Jane E Hill; Carly A Bobak; Lindy Bateman; Mohammad S Khan; Margaretha Prins; Lloyd May; Flavio A Franchina; Cynthia Baard; Mark P Nicol Journal: Sci Rep Date: 2021-02-01 Impact factor: 4.379
Authors: Brett M Babin; Gabriela Fernandez-Cuervo; Jessica Sheng; Ori Green; Alvaro A Ordonez; Mitchell L Turner; Laura J Keller; Sanjay K Jain; Doron Shabat; Matthew Bogyo Journal: ACS Cent Sci Date: 2021-04-14 Impact factor: 14.553
Authors: Pauline Nol; Radu Ionescu; Tesfalem Geremariam Welearegay; Jose Angel Barasona; Joaquin Vicente; Kelvin de Jesus Beleño-Sáenz; Irati Barrenetxea; Maria Jose Torres; Florina Ionescu; Jack Rhyan Journal: Pathogens Date: 2020-05-02