The APACHE III prognostic system. Risk prediction of hospital mortality for critically ill hospitalized adults.

By W. Knaus, D. Wagner, E. Draper, Jack E. Zimmerman, M. Bergner, P. G. Bastos, C. Sirio, D. Murphy, T. Lotring, A. Damiano. 1991

Subfields: Medical & Health AI

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Citations in the corpus

Supersparse linear integer models for optimized medical scoring systems (2015, methodology): “…I, II and III, to assess ICU mortality risk (Le Gall et al., 1984, 1993, Moreno et al., 2005); • APACHE I, II and III, to assess ICU mortality risk (Knaus et al., 1981, 1985, 1991); • CHADS2, to assess the risk of stroke in patients with atrial fibrillation (Gage et al., 2001); • Wells…”
Mortality related to severe sepsis and septic shock among critically ill patients in Australia and New Zealand, 2000-2012. (2014, unknown): “Mortality 24 (24-24) 19 (19-19) 33 (33-34)”
Supersparse Linear Integer Models for Interpretable Classification (2013, background): “…the mortality of patients in intensive care [40, 39, 49, 52]; – APACHE I, II and III, to assess the mortality of patients in intensive care [36, 34, 35]; – CHADS 2 , to assess the risk of stroke in patients with atrial ﬁbrillation [25]; – TIMI, to assess the risk of death and ischemic events in…”
Dynamic data during hypotensive episode improves mortality predictions among patients with sepsis and hypotension (2013, methodology): “While current scoring systems such as APACHE (1, 11, 12) try to capture the severity of the initial insult, they are likely limited in their ability to capture the “physiologic reserve” of a patient to respond to this insult because they tend to focus on the worst recorded value over 24 hours, and n”
Machine Learning and Decision Support in Critical Care (2016, methodology): “APACHE III was the first generation to utilize multivariate logistic regression to estimate the weights for each component of the model [132].”
Optimized Scoring Systems: Toward Trust in Machine Learning for Healthcare and Criminal Justice (2018, background): “(32, 30, 31); TIMI to assess the risk of death and ischemic events (3), HEART (43) and”
Predictors of mortality in bloodstream infections caused by Klebsiella pneumoniae carbapenemase-producing K. pneumoniae: importance of combination therapy. (2012, methodology): “Illness severity at baseline was expressed in terms of the Acute Physiology and Chronic Health Evaluation (APACHE) III score [21] calculated at the time of BSI onset.”
International Prospective Study of Klebsiella pneumoniae Bacteremia: Implications of Extended-Spectrum -Lactamase Production in Nosocomial Infections (2004, methodology): “Severity of illness in patients in an intensive care unit at the time of onset of bacteremia was assessed by using the Acute Physiology and Chronic Health Evaluation-3 score (9).”
Clinical review: Scoring systems in the critically ill (2010, methodology): “APACHE III was developed in 1991 [5] and was validated and further updated in 1998 [6].”
Early Neuromuscular Blockade in the Acute Respiratory Distress Syndrome (2019, background): “‡ Acute Physiology, Age, and Chronic Health Evaluation (APACHE III) scores range from 0 to 299, with higher scores indicating more severe illness.(41) The APACHE III score was assessed in 455 patients in the intervention group and 459 in the control group.”