A simple prognostic score for COVID-19 hospitalized patients developing deep vein thrombosis.
Phlebology
; 36(10): 835-840, 2021 Dec.
Article
em En
| MEDLINE
| ID: mdl-34212790
ABSTRACT
OBJECTIVE:
The aim of our study was to analyze the specificity, accuracy and sensitivity of a simple, easy to calculate, prognostic score for hospitalized COVID19 patients developing deep vein thrombosis.METHODS:
From March 1st to April 28th, 942 COVID-19 patients with severe symptoms were admitted to the hospital San Matteo of Pavia-Italy. Thirty two patients (3.4%) developed deep vein thrombosis during hospitalization. In all patients hemostatic and inflammatory parameters were abnormal. A simple prognostic score was developed based on the presence of specific co morbidities and D-dimers levels (quick San Matthew Score-quick SMS).RESULTS:
Nine patients died in a condition of multiple organ failure, 23 patients (71.9%) survived and left the hospital in good general conditions. The developed score was based simply on two parameters 1) presence of four specific co morbidities and 2)systemic levels of D-Dimers. The quick San Matthew Score resulted in a sensitivity, specificity and overall accuracy of more than 90% (94%, 92%,93% respectively) and compared favorably with other scores. The score was prospectively validated in 100 COVID19 patients who developed deep vein thrombosis collected from the literature and prospectively confirmed in our hospital.CONCLUSIONS:
The findings of our study underline the importance of an immediate aggressive therapeutic approach for moderate and high-risk patients with COVID19 infection. The quick SMS score may help to identify patients at high risk for mortality and to follow the clinical outcome of the patient. A simple, easy to calculate prognostic score may also facilitate communication among health workers.Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Trombose Venosa
/
COVID-19
Tipo de estudo:
Diagnostic_studies
/
Prognostic_studies
Limite:
Humans
Idioma:
En
Ano de publicação:
2021
Tipo de documento:
Article