Fib-4 score is able to predict intra-hospital mortality in 4 different SARS-COV2 waves.
COVID-19
FIB-4
Fibrosis
Liver function test
SARS-COV2
Journal
Internal and emergency medicine
ISSN: 1970-9366
Titre abrégé: Intern Emerg Med
Pays: Italy
ID NLM: 101263418
Informations de publication
Date de publication:
08 2023
08 2023
Historique:
received:
05
01
2023
accepted:
10
05
2023
medline:
10
8
2023
pubmed:
26
7
2023
entrez:
25
7
2023
Statut:
ppublish
Résumé
Increased values of the FIB-4 index appear to be associated with poor clinical outcomes in COVID-19 patients. This study aimed to develop and validate predictive mortality models, using data upon admission of hospitalized patients in four COVID-19 waves between March 2020 and January 2022. A single-center cohort study was performed on consecutive adult patients with Covid-19 admitted at the Fondazione Policlinico Gemelli IRCCS (Rome, Italy). Artificial intelligence and big data processing were used to retrieve data. Patients and clinical characteristics of patients with available FIB-4 data derived from the Gemelli Generator Real World Data (G2 RWD) were used to develop predictive mortality models during the four waves of the COVID-19 pandemic. A logistic regression model was applied to the training and test set (75%:25%). The model's performance was assessed by receiver operating characteristic (ROC) curves. A total of 4936 patients were included. Hypertension (38.4%), cancer (12.15%) and diabetes (16.3%) were the most common comorbidities. 23.9% of patients were admitted to ICU, and 12.6% had mechanical ventilation. During the study period, 762 patients (15.4%) died. We developed a multivariable logistic regression model on patient data from all waves, which showed that the FIB-4 score > 2.53 was associated with increased mortality risk (OR = 4.53, 95% CI 2.83-7.25; p ≤ 0.001). These data may be useful in the risk stratification at the admission of hospitalized patients with COVID-19.
Identifiants
pubmed: 37491564
doi: 10.1007/s11739-023-03310-y
pii: 10.1007/s11739-023-03310-y
pmc: PMC10412472
doi:
Substances chimiques
RNA, Viral
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1415-1427Subventions
Organisme : Ministero dell'Istruzione, dell'Università e della Ricerca
ID : PON "Research and Innovation"
Informations de copyright
© 2023. The Author(s).
Références
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