Predicting outcome in critical care: the current status of the APACHE prognostic scoring system.
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A simple prognostic index based on admission vital signs data among patients with sepsis in a resource-limited settingBringing big data to personalized healthcare: a patient-centered frameworkAdministrative data is as good as medical chart review for comorbidity ascertainment in patients with infections in Singapore.Predicting ICU survival: a meta-level approach.The Toronto prehospital hypertonic resuscitation-head injury and multi organ dysfunction trial (TOPHR HIT)--methods and data collection tools.Comparison of six outcome prediction models in an adult burn population in a developing country.Risk factors for death after sepsis in patients immunosuppressed before the onset of sepsis.Physical therapy management and patient outcomes following ICU-acquired weakness: a case series.Model for End-Stage Liver Disease, Model for Liver Transplantation Survival and Donor Risk Index as predictive models of survival after liver transplantation in 1,006 patients.Dynamic behavior of venous collapsibility and central venous pressure during standardized crystalloid bolus: A prospective, observational, pilot studyA network model to predict the risk of death in sickle cell disease.Risk factors for and prediction of mortality in critically ill medical-surgical patients receiving heparin thromboprophylaxis.Dermatological manifestations and relationship to outcomes of patients admitted to a medical intensive care unit: a study from a tertiary care hospital in India.Validation of the Cumulative Illness Rating Scale in a geriatric residential population.Epidemiology and Outcomes in Critically Ill Patients with Human Immunodeficiency Virus Infection in the Era of Combination Antiretroviral Therapy.One-year audit of admissions to the Intensive Care Unit of the Queen Elizabeth Central Hospital, Blantyre.Role of acute physiology and chronic health evaluation II scoring system in determining the severity and prognosis of critically ill patients in pediatric intensive care unit.Outcome of elderly patients with circulatory failure.Seizures in patients with acute pesticide intoxication, with a focus on glufosinate ammonium.Current Perspectives on Stevens-Johnson Syndrome and Toxic Epidermal Necrolysis.An observational study of incidence, risk factors & outcome of systemic inflammatory response & organ dysfunction following major trauma.Use of APACHE II classification to evaluate outcome and response to therapy in acute renal failure patients in a surgical intensive care unit.Sentiment in nursing notes as an indicator of out-of-hospital mortality in intensive care patients.
P2860
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P2860
Predicting outcome in critical care: the current status of the APACHE prognostic scoring system.
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
@tr
scientific article published on April 1991
@en
vedecký článok
@sk
vetenskaplig artikel
@sv
videnskabelig artikel
@da
vědecký článek
@cs
name
Predicting outcome in critical ...... CHE prognostic scoring system.
@en
Predicting outcome in critical ...... CHE prognostic scoring system.
@nl
type
label
Predicting outcome in critical ...... CHE prognostic scoring system.
@en
Predicting outcome in critical ...... CHE prognostic scoring system.
@nl
prefLabel
Predicting outcome in critical ...... CHE prognostic scoring system.
@en
Predicting outcome in critical ...... CHE prognostic scoring system.
@nl
P2860
P356
P1476
Predicting outcome in critical ...... CHE prognostic scoring system.
@en
P2093
P2860
P2888
P304
P356
10.1007/BF03007629
P577
1991-04-01T00:00:00Z