ArticleScientific reports2022
Risk factors for severe COVID-19 differ by age for hospitalized adults.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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Who cites it
33 citing papers in PubMed.
- Did aging-related beliefs and behaviors change during the COVID-19 pandemic?European journal of ageing · 2026Article
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- Integrated miR-omics and proteomics reveal the regulatory role of miR in protein networks associated with COVID-19 disease progression.Frontiers in immunology · 2026Article
- Healthcare resource use and costs among patients with COVID-19 in the United States.BMC health services research · 2025Article
- Long-Term Clinical Outcomes of Adults Hospitalized for COVID-19 Pneumonia.Emerging infectious diseases · 2025Observational
- Age-Stratified Risk of Severe COVID-19 for People With Disabilities in Korea: Nationwide Study Considering Disability Type.Journal of Korean medical science · 2025Article
- Comparative analysis of frequentist, Bayesian, and machine learning models for predicting SARS-CoV-2 PCR positivity.Frontiers in artificial intelligence · 2025Article
- Article
- Effect of the COVID-19 pandemic on the well-being of middle-aged and older Europeans.Scientific reports · 2024Article
- Article
- DNA Damage in Moderate and Severe COVID-19 Cases: Relation to Demographic, Clinical, and Laboratory Parameters.International journal of molecular sciences · 2024Article
- Feature Identification Using Interpretability Machine Learning Predicting Risk Factors for Disease Severity of In-Patients with COVID-19 in South Florida.Diagnostics (Basel, Switzerland) · 2024Article
- An Albumin, Neutrophil, and Lymphocyte-Related Risk Estimation Tool in Hospitalised Patients.Cureus · 2024Article
- Article
- Acute Kidney Injury in the Context of COVID-19: An Analysis in Hospitalized Mexican Patients.Infectious disease reports · 2024Article
- Machine learning to understand risks for severe COVID-19 outcomes: a retrospective cohort study of immune-mediated inflammatory diseases, immunomodulatory medications, and comorbidities in a large US health-care system.The Lancet. Digital health · 2024Article
- The transition from genomics to phenomics in personalized population health.Nature reviews. Genetics · 2024Review
- Article
- Low-coverage whole genome sequencing for a highly selective cohort of severe COVID-19 patients.GigaByte (Hong Kong, China) · 2024Article
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Authors and funding
11 authors.
Funding
Abstract
Risk stratification for hospitalized adults with COVID-19 is essential to inform decisions about individual patients and allocation of resources. So far, risk models for severe COVID outcomes have included age but have not been optimized to best serve the needs of either older or younger adults. Models also need to be updated to reflect improvements in COVID-19 treatments. This retrospective study analyzed data from 6906 hospitalized adults with COVID-19 from a community health system across five states in the western United States. Risk models were developed to predict mechanical ventilation illness or death across one to 56 days of hospitalization, using clinical data available within the first hour after either admission with COVID-19 or a first positive SARS-CoV-2 test. For the seven-day interval, models for age ≥ 18 and < 50 years reached AUROC 0.81 (95% CI 0.71-0.91) and models for age ≥ 50 years reached AUROC 0.82 (95% CI 0.77-0.86). Models revealed differences in the statistical significance and relative predictive value of risk factors between older and younger patients including age, BMI, vital signs, and laboratory results. In addition, for hospitalized patients, sex and chronic comorbidities had lower predictive value than vital signs and laboratory results.
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