Cognitive correlates of circadian rhythm and sleep-wake behaviour in chronic obstructive pulmonary disease patients.

Chronic obstructive pulmonary disease (COPD) patients often experience reduced physical activity, sleep disturbances, and cognitive impairment. However, reports on measurement of rest-activity rhythm and sleep-wake behavior and their impact on cognitive functions in COPD patients are limited. This study aimed to objectively measure circadian rhythms (rest-activity and ambient illuminance) and sleep behaviors in clinically stable COPD patients and their relationship with cognitive functions.

Mycobacterium welchii Vaccine Granuloma - A Cautionary Tale.

Background: Mycobacterium welchii (Mycobacterium w) vaccine was one of the many strategies used to both treat and prevent coronavirus disease 2019 (COVID-19) infection. We report the results of a retrospective analysis of 15 cases with vaccine-site granulomas after administration of prophylactic Mycobacterium w vaccine as part of a trial for COVID-19 and our experience in managing those cases.

Methods: This was a retrospective analysis of 15 patients with vaccine-site granulomas who were given the vaccine as a prophylactic measure as part of a trial with informed consent.

A novel multimodal framework for early diagnosis and classification of COPD based on CT scan images and multivariate pulmonary respiratory diseases.

Background And Objective: Chronic Obstructive Pulmonary Disease (COPD) is one of the world's worst diseases; its early diagnosis using existing methods like statistical machine learning techniques, medical diagnostic tools, conventional medical procedures, and other methods is challenging due to misclassification results of COPD diagnosis and takes a long time to perform accurate prediction. Due to the severe consequences of COPD, detection and accurate diagnosis of COPD at an early stage is essential. This paper aims to design and develop a multimodal framework for early diagnosis and accurate prediction of COPD patients based on prepared Computerized Tomography (CT) scan images and lung sound/cough (audio) samples using machine learning techniques, which are presented in this study.

A Delphi consensus statement for the management of post-COVID interstitial lung disease.

Introduction: As millions of people worldwide recover from COVID-19, a substantial proportion continue to have persistent symptoms, pulmonary function abnormalities, and radiological findings suggestive of post-COVID interstitial lung disease (ILD). To date, there is limited scientific evidence on the management of post-COVID ILD, necessitating a consensus-based approach.

Areas Covered: A panel of experts in pulmonology and thoracic radiology was constituted.

Early Biochemical Markers in Predicting the Clinical Outcome of COVID-19 Patients Admitted in Tertiary Care Hospital.

 An array of routinely accessible serum biomarkers was assessed to explore their overall impact on severity and mortality in coronavirus disease 2019.  A retrospective analysis of 1,233 adults was conducted. The study groups comprised 127 nonsurvivors and 1,106 survivors.