ArticleBMC infectious diseases2020
Novel risk scoring system for predicting acute respiratory distress syndrome among hospitalized patients with coronavirus disease 2019 in Wuhan, China.
Article in BMC infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled it.
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Who cites it
18 citing papers in PubMed, 3 syntheses or guidelines pooled it, 23 citations in OpenAlex.
- Barriers and Facilitators Along the PrEP Continuum of Care Among Latinx Sexual Minoritized Men and Transgender Women: A Systematic Review.AIDS and behavior · 2024Pooled it
- Pooled it
- Coronavirus Disease 2019 as Cause of Viral Sepsis: A Systematic Review and Meta-Analysis.Critical care medicine · 2021Pooled it
- Transactional Sex, HIV Testing and Receipt of Results Among Adolescents and Young Women: A Comparative DHS Analysis of the Four Major Regions in Uganda.AIDS and behavior · 2026Article
- Association between the triglyceride glucose index and the risk of acute respiratory failure in patients with acute pancreatitis.BMC gastroenterology · 2025Article
- Triglyceride-glucose index as a key predictor of ARDS in acute pancreatitis: SHAP analysis reveals its critical role in risk stratification.Frontiers in nutrition · 2025Article
- Risk factors for in-hospital mortality in recipients of allogeneic hematopoietic stem cell transplantation with acute respiratory distress syndrome: a retrospective study based on the 2023 new definition of acute respiratory distress syndrome.BMC pulmonary medicine · 2024Article
- Development and validation of a predictive scoring system for in-hospital mortality in COVID-19 Egyptian patients: a retrospective study.Scientific reports · 2022Article
- Modelling of a triage scoring tool for SARS-COV-2 PCR testing in health-care workers: data from the first German COVID-19 Testing Unit in Munich.BMC infectious diseases · 2022Article
- Risk factors for invasive and non-invasive ventilatory support and mortality in hospitalized patients with COVID-19.Medicina intensiva · 2022Article
- Risk factors for invasive and non-invasive ventilatory support and mortality in hospitalized patients with COVID-19.Medicina intensiva · 2022Article
- Development and external validation of models to predict acute respiratory distress syndrome related to severe acute pancreatitis.World journal of gastroenterology · 2022Article
- Early prediction of moderate-to-severe condition of inhalation-induced acute respiratory distress syndrome via interpretable machine learning.BMC pulmonary medicine · 2022Article
- Prediction of in-hospital mortality with machine learning for COVID-19 patients treated with steroid and remdesivir.Journal of medical virology · 2022Review
- A new screening tool for SARS-CoV-2 infection based on self-reported patient clinical characteristics: the COVBMC infectious diseases · 2022Article
- Current utilization of interferon alpha for the treatment of coronavirus disease 2019: A comprehensive review.Cytokine & growth factor reviews · 2022Review
- Cardiovascular Disease Complicating COVID-19 in the Elderly.Medicina (Kaunas, Lithuania) · 2021Review
- Development of a scoring system for the prediction of in-hospital mortality among COVID-19 patients.Clinical epidemiology and global healthArticle
Corrections and comments
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Authors and funding
12 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundThe mortality rate from acute respiratory distress syndrome (ARDS) is high among hospitalized patients with coronavirus disease 2019 (COVID-19). Hence, risk evaluation tools are required to immediately identify high-risk patients upon admission for early intervention.
methodsA cohort of 220 consecutive patients with COVID-19 were included in this study. To analyze the risk factors of ARDS, data obtained from approximately 70% of the participants were randomly selected and used as training dataset to establish a logistic regression model. Meanwhile, data obtained from the remaining 30% of the participants were used as test dataset to validate the effect of the model.
resultsLactate dehydrogenase, blood urea nitrogen, D-dimer, procalcitonin, and ferritin levels were included in the risk score system and were assigned a score of 25, 15, 34, 20, and 24, respectively. The cutoff value for the total score was > 35, with a sensitivity of 100.00% and specificity of 81.20%. The area under the receiver operating characteristic curve and the Hosmer-Lemeshow test were 0.967 (95% confidence interval [CI]: 0.925-0.989) and 0.437(P Value = 0.437). The model had excellent discrimination and calibration during internal validation.
conclusionsThe novel risk score may be a valuable risk evaluation tool for screening patients with COVID-19 who are at high risk of ARDS.
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