The second national anti-tuberculosis drug resistance survey in Tanzania, 2017-2018.

Objective: To determine the levels and patterns of resistance to first- and second-line anti-tuberculosis (TB) drugs among new and previously treated sputum smear positive pulmonary TB (PTB) patients.

Methods: We conducted a nationally representative cross-sectional facility-based survey in June 2017-July 2018 involving 45 clusters selected based on probability proportional to size. The survey aimed to determine the prevalence of anti-TB drug resistance and associated risk factors among smear positive PTB patients in Tanzania.

Cystic pulmonary tuberculosis: A rare form of an ancient disease.

Cystic pulmonary tuberculosis is a unique form of pulmonary tuberculosis (PTB) presenting with multiple reversible cysts of the lung. Unlike the other forms, this cystic lung disease can improve with prompt tuberculosis treatments. Here we report the case of a 15-year-old girl who presented with respiratory failure and severe lung damage at hospital admission.

Phylogenetic lineages of tuberculosis isolates and their association with patient demographics in Tanzania.

Background: Mycobacterium tuberculosis presents several lineages each with distinct characteristics of evolutionary status, transmissibility, drug resistance, host interaction, latency, and vaccine efficacy. Whole genome sequencing (WGS) has emerged as a new diagnostic tool to reliably inform the occurrence of phylogenetic lineages of Mycobacterium tuberculosis and examine their relationship with patient demographic characteristics and multidrug-resistance development.

Methods: 191 Mycobacterium tuberculosis isolates obtained from a 2017/2018 Tanzanian drug resistance survey were sequenced on the Illumina Miseq platform at Supranational Tuberculosis Reference Laboratory in Uganda.

Whole genome sequencing-based drug resistance predictions of multidrug-resistant isolates from Tanzania.

Background: Rifampicin- or multidrug-resistant (RR/MDR) complex (MTBC) strains account for considerable morbidity and mortality globally. WGS-based prediction of drug resistance may guide clinical decisions, especially for the design of RR/MDR-TB therapies.

Methods: We compared WGS-based drug resistance-predictive mutations for 42 MTBC isolates from MDR-TB patients in Tanzania with the MICs of 14 antibiotics measured in the Sensititre™ MycoTB assay.

From first to second wave: follow-up of the prospective COVID-19 cohort (KoCo19) in Munich (Germany).

Background: In the 2nd year of the COVID-19 pandemic, knowledge about the dynamics of the infection in the general population is still limited. Such information is essential for health planners, as many of those infected show no or only mild symptoms and thus, escape the surveillance system. We therefore aimed to describe the course of the pandemic in the Munich general population living in private households from April 2020 to January 2021.