COVID-19 Pandemic
Conditions
Keywords
covid-19, SARS-COV2, 4c score, validation
Brief summary
Risk prediction scores are important tools to support clinical decision-making for patients with coronavirus disease (COVID-19). The objective of this paper was to validate the 4C mortality score, originally developed in the United Kingdom, for a tunisian population, and to examine its performance over time.
Detailed description
Coronavirus disease (COVID-19) caused by the Severe Acute Respiratory Syndrome Virus 2 (SARS-CoV-2) can progress to acute respiratory distress syndrome, multiorgan failure, and death in some cases. The clinical presentation and progression of COVID-19 in patients is highly variable, which makes it difficult for clinicians to triage patients and determine their prognostic risk. A simple, validated prognostic tool using data that is available at presentation can help clinicians better prognosticate and support clinical decision-making . Numerous tools to predict mortality in COVID-19 patients have been developed, but many are limited due to small derivation cohort sizes and/or inadequate validation. The 4C mortality score is an accessible risk stratification score developed by the International Severe Acute Respiratory and Emerging Infections Consortium (ISARIC). It was derived and internally validated on a large, diverse cohort within the United Kingdom but requires external validity to confirm its generalizability. The objective of this study was to validate the 4 C Mortality risk score to predict in-hospital mortality among adults hospitalised with COVID-19 in a Tunisian cohort. .
Interventions
None listed
Sponsors
Study design
Eligibility
Inclusion criteria
* patients ≥18 years old * admitted to one of the participating hospitals with a confirmed case of COVID-19 defined by a positive reverse transcriptase-PCR (RT-PCR) assay of a nasopharyngeal swab associated with compatible clinical manifestations
Exclusion criteria
* under the age of 18 * Incomplete electronic records were excluded from the analysis.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| The primary outcome was all-cause in-hospital mortality rate | 30 days after inclusion | The primary outcome was all-cause in-hospital mortality rate |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| ICU admission rate | 30 days after inclusion | ICU admission rate |
| combined outcome | 30 days after inclusion | all-cause in-hospital mortality and/or ICU admission |
Countries
Tunisia