Simone Villa

Little is known about the relationship between the COVID-19 and tuberculosis (TB). The aim of this study is to describe a group of patients who died with TB (active disease or sequelae) and COVID-19 in two cohorts. Data from 49 consecutive cases in 8 countries (cohort A) and 20 hospitalised patients with TB and COVID-19 (cohort B) were analysed and patients who died were described. Demographic and clinical variables were retrospectively collected, including co-morbidities and risk factors for TB and COVID-19 mortality. Overall, 8 out of 69 (11.6%) patients died, 7 from cohort A (14.3%) and one from cohort B (5%). Out of 69 patients 43 were migrants, 26/49 (53.1%) in cohort A and 17/20 (85.0%) in cohort B. Migrants: (1) were younger than natives; in cohort A the median (IQR) age was 40 (27-49) VS. 66 (46-70) years, whereas in cohort B 37 (27-46) VS. 48 (47-60) years; (2) had a lower mortality rate than natives (1/43, 2.3% versus 7/26, 26.9%; p-value: 0.002); (3) had fewer co-morbidities than natives (23/43, 53.5% versus 5/26-19.2%) natives; p-value: 0.005). The study findings show that: (1) mortality is likely to occur in elderly patients with co-morbidities; (2) TB might not be a major determinant of mortality and (3) migrants had lower mortality, probably because of their younger age and lower number of co-morbidities. However, in settings where advanced forms of TB frequently occur and are caused by drug-resistant strains of M. tuberculosis, higher mortality rates can be expected in young individuals.

<b>The COVID-19 infection rate was high in patients with active tuberculosis. Major clinical complications were seen only in two patients, thus requiring <i>ex novo</i> oxygen supply, one of whom with advanced tuberculosis died. Nasal swab viral clearance was rapid.</b>https://bit.ly/3cdvdZJ

BACKGROUND: Tuberculosis (TB) is a major public health problem and at 48%, Karamoja in North-Eastern Uganda has the lowest treatment success rate nationally. Addressing the social determinants of TB is crucial to ending TB. This study sought to understand the extent and ways in which socio-economic factors affect TB treatment outcomes in Karamoja. METHODS: We conducted a convergent parallel mixed methods study in 10 TB Diagnostic and Treatment Units. The study enrolled former TB patients diagnosed with drug-susceptible TB between April 2018 and March 2019. Unit TB and laboratory registers were reviewed to identify pre-treatment losses to follow-up. Four focus group discussions with former TB patients and 18 key informant interviews with healthcare workers were conducted. Principle component analysis was used to generate wealth quintiles that were compared to treatment outcomes using the proportion test. The association between sociodemographic characteristics and TB treatment outcomes was evaluated using the chi-square test and multiple logistic regression. RESULTS: A total of 313 participants were randomly selected from 1184 former TB patients recorded in the unit TB registers. Of these, 264 were contacted in the community and consented to join the study: 57% were male and 156 (59.1%) participants had unsuccessful treatment outcomes. The wealthiest quintile had a 58% reduction in the risk of having an unsuccessful treatment outcome (adj OR = 0.42, 95% CI 0.18-0.99, p = 0.047). People who were employed in the informal sector (adj OR = 4.71, 95% CI 1.18-18.89, p = 0.029) and children under the age of 15 years who were not in school or employed (adj OR = 2.71, 95% CI 1.11-6.62, p = 0.029) had significantly higher odds of unsuccessful treatment outcome. Analysis of the pre-treatment loss to follow-up showed that 17.2% of patients with pulmonary bacteriologically confirmed TB did not initiate treatment with a higher proportion among females (21.7%) than males (13.5%). Inadequate food, belonging to migratory communities, stigma, lack of social protection, drug stock-outs and transport challenges affected TB treatment outcomes. CONCLUSIONS: This study confirmed that low socio-economic status is associated with poor TB treatment outcomes emphasizing the need for multi- and cross-sectoral approaches and socio-economic enablers to optimise TB care.

COVID-19, that emerged in December 2019 in the city of Wuhan, China and is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has rapidly evolved into a pandemic. Italy has become one of the largest epicentres outside Asia, accounting now for at least 80,539 infections (cumulative incidence of 95.9/100,000) and 8,165 deaths (case fatality rate 10.1%). It has seriously affected people above the age of 60 years. The International Health Regulations (IHR) revised in 2005 bind governments to disclose vital information regarding the identification and detection of new disease outbreaks regardless of its causative agent. In contrast to the previous SARS epidemic, China timely informed the world about the onset of a new outbreak. It also soon disclosed the clinical characteristics of patients with COVID-19. Unfortunately, despite the fast recognition of the Chinese epidemic, the application of the 2005 IHR was not followed by an effective response in every country and most health authorities failed to rapidly perceive the threat posed by COVID-19. To further complicate matters, IHR implementation, which relies primarily on self-reporting data rather than on an external review mechanism, was limited in speed and further hindered by high costs. The response in Italy suffered from several limitations within the health system and services. The action against this threat must instead be quick, firm and at the highest trans-national level. The solution lies in further strengthening countries' preparedness through a clear political commitment, mobilization of proper resources and implementation of a strict surveillance and monitoring process.