ArticleAnesthesiology and pain medicine2021
Predicting Risk Score for Mechanical Ventilation in Hospitalized Adult Patients Suffering from COVID-19.
Article in Anesthesiology and pain medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.
- A systematic literature review on public health and healthcare resources for pandemic preparedness planning.BMC public health · 2024Pooled it
- The changing demographics and severity in hospitalized patients across COVID-19 variants: A national cohort study.Journal of clinical and translational science · 2025Article
- Use of machine learning models to predict mechanical ventilation, ECMO, and mortality in COVID-19.Frontiers in artificial intelligence · 2025Article
- Establishment and validation of a prognostic model based on common laboratory indicators for SARS-CoV-2 infection in Chinese population.Annals of medicine · 2024Article
- A hybrid modeling framework for generalizable and interpretable predictions of ICU mortality across multiple hospitals.Scientific reports · 2024Article
- Carbon dioxide and MAPK signalling: towards therapy for inflammation.Cell communication and signaling : CCS · 2023Review
- Serum cystatin C and inflammatory factors related to COVID-19 consequences.BMC infectious diseases · 2023Article
- Early detection of deterioration in COVID-19 patients by continuous ward respiratory rate monitoring: a pilot prospective cohort study.Frontiers in medicine · 2023Article
- Evaluating the Efficacy of the National Early Warning Score in Predicting the Mortality of Stroke Patients Admitted to Intensive Care Units.Anesthesiology and pain medicine · 2022Article
- The Predictive Power of Near-Infrared Spectroscopy in Improving Cognitive Problems in Patients Undergoing Brain Surgeries: A Systematic Review.Anesthesiology and pain medicine · 2022Article
- Bicarbonate concentration as a predictor of prognosis in moderately severe COVID-19 patients: A multicenter retrospective study.PloS one · 2022Article
- Investigating the Effect of Expiratory Time Constant on Outcome in Intubated Patients with Acute Respiratory Failure Caused by COVID-19 in Critical Care Unit: A Research Study.Anesthesiology and pain medicine · 2021Article
- COVID-19 Is Not Over and Needs Prediction Scores: An Endless Road!Anesthesiology and pain medicine · 2021Article
- Controlled Modes Can Be as Effective as CPAP and BiPAP in Non-invasive Ventilation in COVID-19.Anesthesiology and pain medicine · 2021Article
- An Umbrella Review of Clinical Efficacy and Adverse Cardiac Events Associated with Hydroxychloroquine or Chloroquine with or Without Azithromycin in Patients with COVID-19.Anesthesiology and pain medicine · 2021Article
- Invasive Airway "Intubation" in COVID-19 Patients; Statistics, Causes, and Recommendations: A Review Article.Anesthesiology and pain medicine · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCOVID-19 has become a pandemic since December 2019, causing millions of deaths worldwide. It has a wide spectrum of severity, ranging from mild infection to severe illness requiring mechanical ventilation. In the middle of a pandemic, when medical resources (including mechanical ventilators) are scarce, there should be a scoring system to provide the clinicians with the information needed for clinical decision-making and resource allocation.
objectivesThis study aimed to develop a scoring system based on the data obtained on admission, to predict the need for mechanical ventilation in COVID-19 patients.
methodsThis study included COVID-19 patients admitted to Sina Hospital, Tehran University of Medical Sciences from February 20 to May 29, 2020. Patients' data on admission were retrospectively recruited from Sina Hospital COVID-19 Registry (SHCo-19R). Multivariable logistic regression and receiver operating characteristic (ROC) curve analysis were performed to identify the predictive factors for mechanical ventilation.
resultsA total of 681 patients were included in the study; 74 patients (10.9%) needed mechanical ventilation during hospitalization, while 607 (89.1%) did not. Multivariate logistic analysis revealed that age (OR,1.049; 95% CI:1.008-1.091), history of diabetes mellitus (OR,3.216; 95% CI:1.134-9.120), respiratory rate (OR,1.051; 95% CI:1.005-1.100), oxygen saturation (OR,0.928; 95% CI:0.872-0.989), CRP (OR,1.013; 95% CI:1.001-1.024) and bicarbonate level (OR,0.886; 95% CI:0.790-0.995) were risk factors for mechanical ventilation during hospitalization.
conclusionsA risk score has been developed based on the available data within the first hours of hospital admission to predict the need for mechanical ventilation. This risk score should be further validated to determine its applicability in other populations.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.