La hemorragia digestiva alta se define como el sangrado originado en el tracto digestivo superior, proximalmente al ángulo de Treitz, y constituye la urgencia gastroenterológica más importante. Tiene ...una incidencia que varía, según el área estudiada, entre 48 y 160 casos por 100 000 habitantes y año. Aunque puede ser causada por numerosas etiologías, no debemos olvidar aquellas menos comunes, ya que pueden condicionar una alta mortalidad, como es el caso de la rotura de un aneurisma de la arteria hepática. A continuación, mostramos un caso representativo.
Resumen La hemorragia digestiva alta se define como el sangrado originado en el tracto digestivo superior, proximalmente al ángulo de Treitz, y constituye la urgencia gastroenterológica más ...importante. Tiene una incidencia que varía, según el área estudiada, entre 48 y 160 casos por 100 000 habitantes y año. Aunque puede ser causada por numerosas etiologías, no debemos olvidar aquellas menos comunes, ya que pueden condicionar una alta mortalidad, como es el caso de la rotura de un aneurisma de la arteria hepática. A continuación, mostramos un caso representativo.
We aimed to develop and validate a prediction model, based on clinical history and examination findings on initial diagnosis of coronavirus disease 2019 (COVID-19), to identify patients at risk of ...critical outcomes.
We used data from the SEMI-COVID-19 Registry, a cohort of consecutive patients hospitalized for COVID-19 from 132 centres in Spain (23rd March to 21st May 2020). For the development cohort, tertiary referral hospitals were selected, while the validation cohort included smaller hospitals. The primary outcome was a composite of in-hospital death, mechanical ventilation, or admission to intensive care unit. Clinical signs and symptoms, demographics, and medical history ascertained at presentation were screened using least absolute shrinkage and selection operator, and logistic regression was used to construct the predictive model.
There were 10 433 patients, 7850 in the development cohort (primary outcome 25.1%, 1967/7850) and 2583 in the validation cohort (outcome 27.0%, 698/2583). The PRIORITY model included: age, dependency, cardiovascular disease, chronic kidney disease, dyspnoea, tachypnoea, confusion, systolic blood pressure, and SpO2 ≤93% or oxygen requirement. The model showed high discrimination for critical illness in both the development (C-statistic 0.823; 95% confidence interval (CI) 0.813, 0.834) and validation (C-statistic 0.794; 95%CI 0.775, 0.813) cohorts. A freely available web-based calculator was developed based on this model (https://www.evidencio.com/models/show/2344).
The PRIORITY model, based on easily obtained clinical information, had good discrimination and generalizability for identifying COVID-19 patients at risk of critical outcomes.
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