ArticleInnovation (Cambridge (Mass.))2020
Predictive Model and Risk Factors for Case Fatality of COVID-19: A Cohort of 21,392 Cases in Hubei, China.
Article in Innovation (Cambridge (Mass.)), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- [COVID-19 fatality rate conditioned by risk factors in Mexico in 2020].Revista medica del Instituto Mexicano del Seguro Social · 2024Article
- Patients' and Clinicians' Perceptions of the Clinical Utility of Predictive Risk Models for Chemotherapy-Related Symptom Management: Qualitative Exploration Using Focus Groups and Interviews.Journal of medical Internet research · 2024Article
- Sialylated Glycan Bindings from SARS-CoV-2 Spike Protein to Blood and Endothelial Cells Govern the Severe Morbidities of COVID-19.International journal of molecular sciences · 2023Review
- Improvements throughout the Three Waves of COVID-19 Pandemic: Results from 4 Million Inhabitants of North-West Italy.Journal of clinical medicine · 2022Article
- Implementing Silica Nanoparticles in the Study of the Airborne Transmission of SARS-CoV-2.Molecules (Basel, Switzerland) · 2022Article
- A recombinant receptor-binding domain in trimeric form generates protective immunity against SARS-CoV-2 infection in nonhuman primates.Innovation (Cambridge (Mass.)) · 2021Article
- Geographical Pattern of COVID-19-Related Outcomes over the Pandemic Period in France: A Nationwide Socio-Environmental Study.International journal of environmental research and public health · 2021Article
- An easy-to-use nomogram for predicting in-hospital mortality risk in COVID-19: a retrospective cohort study in a university hospital.BMC infectious diseases · 2021Article
- An intelligent framework using disruptive technologies for COVID-19 analysis.Technological forecasting and social change · 2021Article
- Community evidence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission through air.Atmospheric environment (Oxford, England : 1994) · 2021Article
- Reliable and Interpretable Mortality Prediction With Strong Foresight in COVID-19 Patients: An International Study From China and Germany.Frontiers in artificial intelligence · 2021Article
- Risk Factors for SARS-CoV-2 Infection, Pneumonia, Intubation, and Death in Northeast Mexico.Frontiers in public health · 2021Article
- Hospitalization Costs of COVID-19 Cases and Their Associated Factors in Guangdong, China: A Cross-Sectional Study.Frontiers in medicine · 2021Article
- Screening of hospital admissions for COVID-19 in Brunei Darussalam.Western Pacific surveillance and response journal : WPSARArticle
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12 authors.
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No grant is acknowledged in the PubMed record.
Abstract
An increasing number of patients are being killed by coronavirus disease 2019 (COVID-19), however, risk factors for the fatality of COVID-19 remain unclear. A total of 21,392 COVID-19 cases were recruited in the Hubei Province of China between December 2019 and February 2020, and followed up until March 18, 2020. We adopted Cox regression models to investigate the risk factors for case fatality and predicted the death probability under specific combinations of key predictors. Among the 21,392 patients, 1,020 (4.77%) died of COVID-19. Multivariable analyses showed that factors, including age (≥60 versus <45 years, hazard ratio [HR] = 7.32; 95% confidence interval [CI], 5.42, 9.89), sex (male versus female, HR = 1.31; 95% CI, 1.15, 1.50), severity of the disease (critical versus mild, HR = 39.98; 95% CI, 29.52, 48.86), comorbidity (HR = 1.40; 95% CI, 1.23, 1.60), highest body temperature (>39°C versus <39°C, HR = 1.28; 95% CI, 1.09, 1.49), white blood cell counts (>10 × 10
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