Skip to content
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
medicine
Tuberculosis and COVID-19 co-infection: description of the global cohort
European Respiratory Journal, Volume 59, No. 3, Article 2102538, Year 2022
Notification
URL copied to clipboard!
Description
Background Information on tuberculosis (TB) and coronavirus disease 2019 (COVID-19) is still limited. The aim of this study was to describe the features of the TB/COVID-19 co-infected individuals from a prospective, anonymised, multicountry register-based cohort with special focus on the determinants of mortality and other outcomes. Methods We enrolled all patients of any age with either active TB or previous TB and COVID-19. 172 centres from 34 countries provided individual data on 767 TB-COVID-19 co-infected patients, (>50% population-based). Results Of 767 patients, 553 (74.0%) out of 747 had TB before COVID-19 (including 234 out of 747 with previous TB), 71 (9.5%) out of 747 had COVID-19 first and 123 (16.5%) out of 747 had both diseases diagnosed within the same week (n=35 (4.6%) on the same day). 85 (11.08%) out of 767 patients died (41 (14.2%) out of 289 in Europe and 44 (9.2%) out of 478 outside Europe; p=0.03): 42 (49.4%) from COVID-19, 31 (36.5%) from COVID-19 and TB, one (1.2%) from TB and 11 from other causes. In the univariate analysis on mortality the following variables reached statistical significance: age, male gender, having more than one comorbidity, diabetes mellitus, cardiovascular disease, chronic respiratory disease, chronic renal disease, presence of key symptoms, invasive ventilation and hospitalisation due to COVID-19. The final multivariable logistic regression model included age, male gender and invasive ventilation as independent contributors to mortality. Conclusion The data suggest that TB and COVID-19 are a “cursed duet” and need immediate attention. TB should be considered a risk factor for severe COVID disease and patients with TB should be prioritised for COVID-19 preventative efforts, including vaccination. © 2022 European Respiratory Society. All rights reserved.
Authors & Co-Authors
Migliori, Giovanni Battista
Unknown Affiliation
Palmero, Domingo Juan
Unknown Affiliation
Alffenaar, Jan Willem C.
Unknown Affiliation
Denholm, Justin T.
Unknown Affiliation
Fox, Greg J.
Unknown Affiliation
Cho, Jin Gun
Unknown Affiliation
Skrahina, Alena M.
Unknown Affiliation
Solodovnikova, Varvara V.
Unknown Affiliation
Piubello, Alberto
Unknown Affiliation
Arbex, Marcos Abdo
Unknown Affiliation
Silva, Denise Rossato
Unknown Affiliation
Salinas, Nadia Escobar
Unknown Affiliation
Li, Yang
Unknown Affiliation
Andréjak, Claire
Unknown Affiliation
Blanc, François Xavier
Unknown Affiliation
Schlemmer, Frédéric
Unknown Affiliation
Manika, Katerina
Unknown Affiliation
Diallo, Boubacar Djelo
Unknown Affiliation
Hassane-Harouna, Souleymane
Unknown Affiliation
Sharma, Samridhi
Unknown Affiliation
Singla, Rupak
Unknown Affiliation
Udwadia, Zarir Farokh
Unknown Affiliation
Calcagno, A.
Unknown Affiliation
Centis, Rosella
Unknown Affiliation
Codecasa, Luigi Ruffo
Unknown Affiliation
D'Ambrosio, Lia
Unknown Affiliation
Esposito, Susanna Maria Roberta
Unknown Affiliation
Formenti, Beatrice
Unknown Affiliation
Giacomet, Vania
Unknown Affiliation
Goletti, Delia
Unknown Affiliation
Gualano, Gina
Unknown Affiliation
Matteelli, A.
Unknown Affiliation
Motta, Ilaria
Unknown Affiliation
Palmieri, Fabrizio
Unknown Affiliation
Pontali, Emanuele
Unknown Affiliation
Riccardi, Niccolò
Unknown Affiliation
Saderi, Laura
Unknown Affiliation
Saporiti, Matteo
Unknown Affiliation
Sotgiu, Giovanni
Unknown Affiliation
Tadolini, Marina
Unknown Affiliation
Torre, Alessandro
Unknown Affiliation
Villa, Simone
Unknown Affiliation
Visca, Dina
Unknown Affiliation
Danila, Edvardas
Unknown Affiliation
Diktanas, Saulius
Unknown Affiliation
Ridaura, Ruy López
Unknown Affiliation
Muñoz-Torrico, Marcela Verónica
Unknown Affiliation
Rendon, Adrian
Unknown Affiliation
Akkerman, Onno W.
Unknown Affiliation
Souleymane, Mahamadou Bassirou
Unknown Affiliation
Al-Abri, Seif Salem
Unknown Affiliation
Alyaquobi, Fatma
Unknown Affiliation
Aguirre, Sarita
Unknown Affiliation
Teixeira, Rosarito Coronel
Unknown Affiliation
Irala, Sandra
Unknown Affiliation
Sequera, Guillermo Victor
Unknown Affiliation
Manga, Selene
Unknown Affiliation
Duarte, R. A.B.
Unknown Affiliation
Grecu, Victor Ionel
Unknown Affiliation
Barkanova, Olga N.
Unknown Affiliation
Borisov, S. E.
Unknown Affiliation
Maryandyshev, Andrey O.
Unknown Affiliation
Kaluzhenina, Anna A.
Unknown Affiliation
Adžić-Vukicevic, Tatjana N.
Unknown Affiliation
Stošić, Maja Borivoje
Unknown Affiliation
Ng, Deborah Hee Ling
Unknown Affiliation
Ong, Catherine W.M.
Unknown Affiliation
Solovič, Ivan
Unknown Affiliation
Dheda, Keertan U.J.
Unknown Affiliation
Gina, Phindile
Unknown Affiliation
Caminero Luna, José A.
Unknown Affiliation
de Souza-Galväo, María Luiza
Unknown Affiliation
García-García, José María
Unknown Affiliation
Sánchez-Montalv́a, Adrián
Unknown Affiliation
Bart, Pierre Alexandre
Unknown Affiliation
Mazza-Stalder, Jesica
Unknown Affiliation
Barnacle, James R.
Unknown Affiliation
Papineni, Padmasayee
Unknown Affiliation
Tiberi, Simon
Unknown Affiliation
Utjesanovic, Natasa
Unknown Affiliation
Zenner, Dominik
Unknown Affiliation
Heysell, Scott Kirkland
Unknown Affiliation
Statistics
Citations: 92
Authors: 82
Identifiers
Doi:
10.1183/13993003.02538-2021
ISSN:
09031936
Research Areas
Covid
Infectious Diseases
Noncommunicable Diseases
Study Design
Cross Sectional Study
Cohort Study
Participants Gender
Male