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Revista Médica Electrónica
versión On-line ISSN 1684-1824
Resumen
GARCIA ALVAREZ, Pedro Julio; MOREJON RAMOS, Leodan y GRASSO LEYVA, Fernando. Application of a Cuban mortality-predictive model in seriously-ill patients with Covid-19 in Lombardy, Italy. Rev.Med.Electrón. [online]. 2021, vol.43, n.2, pp.3047-3060. Epub 30-Abr-2021. ISSN 1684-1824.
Introduction:
COVID-19 pneumonia is an infectious disease that has revolutionized the world in the last months. The diagnosis goes thought several moments: clinical features, blood analytic and images. Death risk stratification is very important to optimize resources.
Objective:
to validate the Cuban mathematic predictive model of mortality in patients admitted due to COVID-19.
Materials and methods:
cohort study with 191 seriously-ill patients who were admitted to Maggiore di Crema Hospital, Cremona, Lombardy region, Italy, in the period April-May 2020. The universe were 191 patients and no sample was chosen. The variables were: age; patient’s status; plasma creatinine levels; respiratory rate; heart rate; arterial pressure; blood oxygen and carbon dioxide levels; values of sodium and hemoglobin.
Results:
22 % of mortality in seriously-ill and critical patients, with average age in Group 1: 59 years, in Group 2: 73 years; t-Student = 0.00. Hosmer-Lemenshow test (0.766) with high adjustment. Sensitivity= 93 %. Area below the curve=0.957. Success percentage in logistic regression of 86.4 % and 91.2 % in the neuronal net. Model media per groups: Group 1= 4 458; Group 2= 2 911, t-Student = 0.00.
Conclusions:
the model showed to be very useful in the flow chart of patients attended with COVID-19. It allowed to early detect the patients at high death risk five days from admission and discriminating those who were not at risk, in a way that they could be treated in minimal care units.
Palabras clave : mortality; COVID-19; predictive model.