Evaluation of the Performance of a Modified Acute Physiology and Chronic Health Evaluation (APACHE II) Scoring System for Critically Ill Patients in Emergency Departments in Hong Kong

Common laboratory tests predict imminent medical emergency team calls, intensive care unit admission or death in emergency department patients

“…However, so far, investigators have mostly focused on vital signs to achieve early identification of patients at risk with AUC‐ROC values between 0.65 and 0.85 . When attempts have been made to develop predictive models for ED patients, they have been disease‐ or condition‐specific, have used ICU‐developed illness severity scores, selected physiological abnormalities assessed with vital sign acquisition . When general studies have been performed in ED patients or patients just admitted to hospital, they either have used clinical data to improve their predictive capability, have not considered ED patients separately, or have not developed a predictive model.…”

“…However, such systems have been disease‐specific, either based on the short‐term application of ICU‐developed illness severity scores, or based on selected physiological abnormalities assessed with vital sign acquisition . Other studies either have focused on a specific group of patients or have involved only hundreds of patients . When general studies have been performed in ED patients or patients just admitted to hospital, they have used clinical data to improve their predictive capability.…”

Validación de las escalas de APACHE II y SOFA en 2 cohortes de pacientes con sospecha de infección y sepsis, no ingresados en unidades de cuidados críticos

“…Otro aspecto que se ha demostrado puede afectar la discriminación de un modelo de pronós-tico es la variabilidad en las características demográficas de la población, como es el caso de la cohorte de EPISEPSIS, que incluyó 10 centros hospitalarios. Un fenómeno similar se evidenció en el estudio multicéntrico realizado por Man et al 29 , donde se obtuvo un AUC-ROC para APACHE II modificado de 0,743, que fue diferente del AUC-ROC de 0,91 encontrada en otro estudio realizado por los mismos autores en un solo centro 30 , incluyendo ambos estudios pacientes críticamente enfermos, pero seleccionados en el Servicio de Urgencias.…”

Association between hospital volume and outcomes of elderly and non‐elderly patients with acute biliary diseases: A national administrative database analysis

“…Therefore, one explanation for this discrepancy might be that there were more severe cases of acute biliary diseases in these hospitals. Some previous reports have suggested that more critically ill patients, with a variety of medical conditions, are transported to academic hospitals 35–37 . Therefore, this mechanism might have obscured any effects of hospital type or size on the in‐hospital mortality within 30 days in patients with acute biliary diseases.…”