The outbreak of coronavirus disease 2019 (COVID-19) has rapidly spread to become a worldwide emergency. Early identification of patients at risk of progression may facilitate more individually aligned treatment plans and optimized utilization of medical resource. Here we conducted a multicenter retrospective study involving patients with moderate COVID-19 pneumonia to investigate the utility of chest computed tomography (CT) and clinical characteristics to risk-stratify the patients. Our results show that CT severity score is associated with inflammatory levels and that older age, higher neutrophil-to-lymphocyte ratio (NLR), and CT severity score on admission are independent risk factors for short-term progression. The nomogram based on these risk factors shows good calibration and discrimination in the derivation and validation cohorts. These findings have implications for predicting the progression risk of COVID-19 pneumonia patients at the time of admission. CT examination may help risk-stratification and guide the timing of admission.
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http://dx.doi.org/10.1038/s41467-020-18786-x | DOI Listing |
Int J Rheum Dis
January 2025
Department of Clinical Immunology and Rheumatology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, India.
Objectives: To determine the prevalence of self-reported delayed adverse events (DAEs), major AEs, and flares following COVID-19 vaccinations among patients with autoimmune rheumatic diseases (AIRDs) in Malaysia.
Methodology: An electronically validated survey from the COVID-19 vaccination in autoimmune diseases (COVAD) study group was distributed in July 2021 to patients with autoimmune diseases and healthy controls (HCs). The survey collected data on DAEs (any AE that persisted or occurred after 7 days of vaccination), any early or delayed major adverse events (MAEs), and flares following COVID-19 vaccination.
J Glob Health
January 2025
Medical-surgical Nursing Department, Faculty of Nursing, Cairo University, Cairo, Egypt.
Background: We aimed to identify the central lifestyle, the most impactful among lifestyle factor clusters; the central health outcome, the most impactful among health outcome clusters; and the bridge lifestyle, the most strongly connected to health outcome clusters, across 29 countries to optimise resource allocation for local holistic health improvements.
Methods: From July 2020 to August 2021, we surveyed 16 461 adults across 29 countries who self-reported changes in 18 lifestyle factors and 13 health outcomes due to the pandemic. Three networks were generated by network analysis for each country: lifestyle, health outcome, and bridge networks.
JMIR Form Res
January 2025
Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, United Kingdom.
Background: Advancements in medical science have focused largely on patient care, often overlooking the well-being of health care professionals (HCPs). This oversight has consequences; not only are HCPs prone to mental and physical health challenges, but the quality of patient care may also endure as a result. Such concerns are also exacerbated by unprecedented crises like the COVID-19 pandemic.
View Article and Find Full Text PDFJMIR Public Health Surveill
January 2025
School of Public Health, Imperial College London, London, United Kingdom.
Background: High response rates are needed in population-based studies, as nonresponse reduces effective sample size and bias affects accuracy and decreases the generalizability of the study findings.
Objective: We tested different strategies to improve response rate and reduce nonresponse bias in a national population-based COVID-19 surveillance program in England, United Kingdom.
Methods: Over 19 rounds, a random sample of individuals aged 5 years and older from the general population in England were invited by mail to complete a web-based questionnaire and return a swab for SARS-CoV-2 testing.
J Family Med Prim Care
December 2024
Vice Chancellor, Atal Bihari Vajpayee Medical University, Lucknow, Uttar Pradesh, India.
Background: It is documented that COVID-19 survivors have prolonged morbidity and functional impairment for many years. Data regarding post-COVID-19 lung functions is lacking from the Indian population. We aim to evaluate the lung functions in such patients after 3-6 months of hospital discharge.
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