Performance of Risk Scores in Sars-CoV-2 Infection
A Retrospective Study
Bibliographic Data
| ID | 15510530 |
|---|---|
| Authors | Alessandro Geremia (University of Catania), Arturo Montineri (0000-0003-0962-2511, University of Catania), Alessandra Sorce (0000-0002-5267-3616, Department of Health), Anastasia Xourafa (0000-0001-5126-0927, Policlinico Universitario di Catania), Enrico Buccheri (0000-0003-2069-5818, Policlinico Universitario di Catania, corresponding author), Antonino Catalano (0000-0003-3890-2299, University of Messina), Pietro Castellino (0000-0002-9014-2007, Policlinico Universitario di Catania), Agostino Gaudio (0000-0002-9958-9606, University of Catania), D O CoV Research |
| Year | 2025 |
| Volume | 22 |
| Issue | 8 |
| Pages | 1166-1166 |
| Publication date | 2025-07-23 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph22081166 |
| PMID | 40869752 |
| OpenAlex | W4412597363 |
| Language | EN |
| References cited | 28 |
Prognostic scores that help allocate resources and time to the most critical patients could have potentially improved the response to the SARS-CoV-2 pandemic. We assessed the performance of five risk scores in predicting death or transfer to the intensive care unit (ICU) or sub-intensive care unit (SICU) in hospitalised patients with SARS-CoV-2 infection, with the three aims of retrospectively analysing the effectiveness of these tools, identifying frail patients at risk of death or complications due to infection, and applying these tools in the event of future pandemics. A retrospective observational study was conducted by evaluating data from patients hospitalised with SARS-CoV-2 infection. Among 134 patients considered, 119 were enrolled. All patients were adults, with a mean age of 64 years, and were hospitalised in the Infectious Diseases Division. We compared the five scores using receiver operating characteristic curves and calculation of the areas under the curve (AUCs) to determine their predictive performance. Four of the five scores demonstrated a high accuracy in predicting mortality among COVID-19-positive patients, with AUCs between 0.749 and 0.885. However, only two of the five scores showed good performance in predicting transfer to the ICU or SICU, with AUCs ranging from 0.740 to 0.802. The 4C Mortality Score and COVID-GRAM presented the highest performance for both outcomes. These two scores are easy to apply and low cost. They could still be used in clinical practice as predictive tools for frail and elderly patients with SARS-CoV-2 infection, as well as in the event of future pandemics
Coronavirus disease 2019 (COVID-19 · Disease · Infectious disease (medical specialty · Intensive care · Intensive care medicine · Intensive care unit · Observational study · Pandemic · Receiver operating characteristic · Retrospective cohort study · Risk assessment · Severity of illness · COVID-19 and healthcare impacts · COVID-19 Clinical Research Studies · Frailty in Older Adults · Medicine · Emergency Medicine · Internal Medicine
Applied Logistic Regression
A pneumonia outbreak associated with a new coronavirus of probable bat origin
Vitamin D Levels Are Reduced at the Time of Hospital Admission in Sicilian Sars-CoV-2-Positive Patients
The Usefulness of the Covid-GRAM Score in Predicting the Outcomes of Study Population with Covid-19
| Citation velocity | historical |
|---|---|
| Highly cited | No |