**Summary:**

This review addresses the importance of quantitative computed tomography (QCT) in evaluating extrapulmonary comorbidities in patients with chronic obstructive pulmonary disease (COPD). By analyzing studies from 1999 to 2024, the review highlights that COPD is frequently associated with reduced muscle mass, lower bone density, and increased coronary artery calcification, all of which worsen disease outcomes. Advanced CT and AI-based techniques improve the assessment of these comorbidities. The review concludes that QCT plays a crucial role in understanding, diagnosing, and managing extrapulmonary complications in COPD, and calls for future research to refine measurement methods and integrate advanced imaging for personalized patient care.

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Key findings

• This study revealed that >70% of workers with continuous positive airway pressure (CPAP) using changed their work style to telecommuting, resulting in decreased physical activity, and commuters tended to have shorter durations and lower rates of CPAP use compared to teleworkers.

What is known and what is new?

• The coronavirus disease 2019 pandemic has resulted in many lifestyle changes. However, no studies have reported how these factors affect obstructive sleep apnea patients undergoing CPAP treatment.

• Our study investigated the impact of lifestyle changes on CPAP users during Japan’s first state of emergency. Over 50% of CPAP users who were employed changed their work style, leading to reduced physical activity. Commuters showed shorter durations and lower adherence to CPAP therapy compared to teleworkers.

What is the implication, and what should change now?

• We provided important data on lifestyle changes during the coronary pandemic period for CPAP users. Further randomized controlled studies are needed to confirm these findings.

After the cessation of the dynamic zero-coronavirus disease 2019 (COVID-19) policy in China, a large number of people were infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) without being hospitalized, but few studies investigated the symptoms of this population. In this study, we aimed to describe the symptom characteristics of this population and to provide information for further understanding of COVID-19.