Circulation of influenza and other respiratory viruses during the COVID-19 pandemic in Australia and New Zealand, 2020-2021.

Objective: Circulation patterns of influenza and other respiratory viruses have been globally disrupted since the emergence of coronavirus disease (COVID-19) and the introduction of public health and social measures (PHSMs) aimed at reducing severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission.

Methods: We reviewed respiratory virus laboratory data, Google mobility data and PHSMs in five geographically diverse regions in Australia and New Zealand. We also described respiratory virus activity from January 2017 to August 2021.

Design of Effisayil™ 2: A Randomized, Double-Blind, Placebo-Controlled Study of Spesolimab in Preventing Flares in Patients with Generalized Pustular Psoriasis.

Introduction: Generalized pustular psoriasis (GPP) is a rare autoinflammatory skin disease characterized by flares of widespread erythema with sterile pustules, and can be relapsing with recurrent flares, or persistent with intermittent flares. Spesolimab, a humanized anti-interleukin-36 (IL-36) receptor monoclonal antibody, targets the key IL-36 pathogenetic pathway in GPP. A previous study showed that spesolimab treatment led to rapid pustular and skin clearance in patients with GPP flares, which was sustained for up to 12 weeks.

Resistance of Streptococcus pneumoniae to Hypothiocyanous Acid Generated by Host Peroxidases.

Streptococcus pneumoniae is a serious human respiratory pathogen. It generates hydrogen peroxide (HO) as part of its normal metabolism, yet it lacks enzymes that remove this oxidant. Here we show that lactoperoxidase and myeloperoxidase, two host enzymes present in the respiratory tract, convert bacterial HO into HOSCN that S.

Multivariate meta-analysis of individual participant data helped externally validate the performance and implementation of a prediction model.

Objectives: Our aim was to improve meta-analysis methods for summarizing a prediction model's performance when individual participant data are available from multiple studies for external validation.

Study Design And Setting: We suggest multivariate meta-analysis for jointly synthesizing calibration and discrimination performance, while accounting for their correlation. The approach estimates a prediction model's average performance, the heterogeneity in performance across populations, and the probability of "good" performance in new populations.