Crash prediction model: in patients admitted to intensive care
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Beschrijving
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Introduction: shock is a syndrome characterized by generalized tissue hypoperfusion, with cellular hypoxia due to low oxygen delivery, increased oxygen consumption or inadequate oxygen utilization. This research was conducted with the aim of developing a predictive model of shock in patients admitted to intensive care.Methods: an explanatory research was conducted with a prospective cohort design, of a predictive model of shock, in 538 patients admitted Intensive Care of the Hospital Clínico Quirúrgico Hermanos Ameijeiras during the period from January 2017 to December 2022.Conclusions: the predictive model was useful for predicting shock in patients admitted to intensive care.
Beschrijving
(2)
Introduction: shock is a syndrome characterized by generalized tissue hypoperfusion, with cellular hypoxia due to low oxygen delivery, increased oxygen consumption or inadequate oxygen utilization. This research was conducted with the aim of developing a predictive model of shock in patients admitted to intensive care.Methods: an explanatory research was conducted with a prospective cohort design, of a predictive model of shock, in 538 patients admitted Intensive Care of the Hospital Clínico Quirúrgico Hermanos Ameijeiras during the period from January 2017 to December 2022.Conclusions: the predictive model was useful for predicting shock in patients admitted to intensive care.
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