ArticlePloS one2021
COVID-IRS: A novel predictive score for risk of invasive mechanical ventilation in patients with COVID-19.
Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.
- Prognostic models in COVID-19 infection that predict severity: a systematic review.European journal of epidemiology · 2023Pooled it
- Predictive Factors for Invasive Mechanical Ventilation in Community-acquired Pneumonia.Internal medicine (Tokyo, Japan) · 2025Article
- Use of machine learning models to predict mechanical ventilation, ECMO, and mortality in COVID-19.Frontiers in artificial intelligence · 2025Article
- Derivation and external validation of predictive models for invasive mechanical ventilation in intensive care unit patients with COVID-19.Annals of intensive care · 2024Article
- The Predictive Performance of Risk Scores for the Outcome of COVID-19 in a 2-Year Swiss Cohort.Biomedicines · 2024Article
- Parasternal intercostal thickening at hospital admission: a promising indicator for mechanical ventilation risk in subjects with severe COVID-19.Journal of clinical monitoring and computing · 2023Observational
- ABC-GOALScl score predicts admission to the intensive care unit and mortality of COVID-19 patients over 60 years of age.BMC geriatrics · 2023Observational
- Outcome prediction in hospitalized COVID-19 patients: Comparison of the performance of five severity scores.Frontiers in medicine · 2023Article
- Anxiety and Depression in Family Members of Critically Ill Covid-19 Inpatients: Brief Psychological Interventions via Telephone, an Exploratory Study.Journal of multidisciplinary healthcare · 2023Article
- Assessment of the ABCFrontiers in medicine · 2023Article
- Transcriptomics and RNA-Based Therapeutics as Potential Approaches to Manage SARS-CoV-2 Infection.International journal of molecular sciences · 2022Review
- Liver damage in the context of SARS-CoV-2. Covid-19 treatment and its effects on the liver.Journal of medicine and life · 2022Review
- Risk factors for severe COVID-19 differ by age for hospitalized adults.Scientific reports · 2022Article
- Neutrophil to Lymphocyte Ratio and Platelet to Lymphocyte Percentage Ratio as Predictors of In-hospital Mortality in Sepsis. An Observational Cohort Study.Materia socio-medica · 2022Article
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- Article
- Role of SpO2/FiO2 Ratio and ROX Index in Predicting Early Invasive Mechanical Ventilation in COVID-19. A Pragmatic, Retrospective, Multi-Center Study.Biomedicines · 2021Article
- Supervised Machine Learning Approach to Identify Early Predictors of Poor Outcome in Patients with COVID-19 Presenting to a Large Quaternary Care Hospital in New York City.Journal of clinical medicine · 2021Article
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCoronavirus disease 2019 (COVID-19) is a systemic disease that can rapidly progress into acute respiratory failure and death. Timely identification of these patients is crucial for a proper administration of health-care resources.
objectiveTo develop a predictive score that estimates the risk of invasive mechanical ventilation (IMV) among patients with COVID-19. STUDY
designRetrospective cohort study of 401 COVID-19 patients diagnosed from March 12, to August 10, 2020. The score development cohort comprised 211 patients (52.62% of total sample) whereas the validation cohort included 190 patients (47.38% of total sample). We divided participants according to the need of invasive mechanical ventilation (IMV) and looked for potential predictive variables.
resultsWe developed two predictive scores, one based on Interleukin-6 (IL-6) and the other one on the Neutrophil/Lymphocyte ratio (NLR), using the following variables: respiratory rate, SpO2/FiO2 ratio and lactic dehydrogenase (LDH). The area under the curve (AUC) in the development cohort was 0.877 (0.823-0.931) using the NLR based score and 0.891 (0.843-0.939) using the IL-6 based score. When compared with other similar scores developed for the prediction of adverse outcomes in COVID-19, the COVID-IRS scores proved to be superior in the prediction of IMV.
conclusionThe COVID-IRS scores accurately predict the need for mechanical ventilation in COVID-19 patients using readily available variables taken upon admission. More studies testing the applicability of COVID-IRS in other centers and populations, as well as its performance as a triage tool for COVID-19 patients are needed.
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