Article

External validation of the ISARIC 4C Mortality Score for hospitalized patients with COVID-19 in Tunisia

2023-09-01

Abstract excerpt

Estimating mortality risk in hospitalized patients with COVID-19 infection may help clinicians to early triage patients with poor prognostic outcome. The Coronavirus Clinical Characterization Consortium Mortality Score (4C Score) is one of the predictive models that was externally validated in large cohorts. However, its use may be limited in population with quite different demographic and epidemiologic features....

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 45890fd5-9584-5e2e-9f41-cfe91604d7da
DOI: 10.21203/rs.3.rs-3290410/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

External validation of the ISARIC 4C Mortality Score for hospitalized patients with COVID-19 in TunisiaDOI 10.21203/rs.3.rs-3290410/v1Read

COVID-19 Mortality Risk Assessment: An International Multi-Center StudySemantic proximity Read

Establishment of Routine Clinical Indicators-Based Nomograms for Predicting the Mortality in Patients with COVID-19Semantic proximity Read

Clinical and Epidemiological Characteristics of COVID-19 Mortality in Saudi Arabia: A Retrospective Multi-Center StudySemantic proximity Read

SARS2 simplified scores to estimate risk of hospitalization and death among patients with COVID-19Semantic proximity Read

Development and validation of the 4C Deterioration model for adults hospitalised with COVID-19Semantic proximity Read

Seek COVER: Development and validation of a personalized risk calculator for COVID-19 outcomes in an international networkSemantic proximity Read

Clinical Decision Tools to Predict Orotracheal Intubation and In-Hospital Mortality Among COVID-19 Patients: A Retrospective Multi-Centre StudySemantic proximity Read

Deploying unsupervised clustering analysis to derive clinical phenotypes and risk factors associated with mortality risk in 2,022 critically ill patients with COVID-19 in SpainSemantic proximity Read

Systematic evaluation and external validation of 22 prognostic models among hospitalised adults with COVID-19: An observational cohort studySemantic proximity Read

Multicenter analysis of COVID-19 hospitalizations and stacking machine learning algorithms for prediction of high-risk patientsSemantic proximity Read

Prognosing the Risk of COVID-19 Death Through a Machine Learning-Based Routine Blood PanelSemantic proximity Read

Deploying Machine Learning to Validate Clinical Phenotypes and Factors Associated with Mortality Risk in 2,022 Critically Ill Patients with COVID-19 in SpainSemantic proximity Read