Severity of illness scoring systems in the intensive care unit.
about
Prognostic value of circulating DNA levels in critically ill and trauma patientsPredicting Mortality in Low-Income Country ICUs: The Rwanda Mortality Probability Model (R-MPM).Pre-admission functional status impacts the performance of the APACHE IV model of mortality prediction in critically ill patientsExternal validation of SAPS 3 and MPM0-III scores in 48,816 patients from 72 Brazilian ICUs.Changes in hospital mortality for United States intensive care unit admissions from 1988 to 2012Prognosis of patients with shock receiving vasopressors.Acute kidney injury enhances outcome prediction ability of sequential organ failure assessment score in critically ill patients.Subsequent infections in survivors of sepsis: epidemiology and outcomesPerformance of three prognostic models in patients with cancer in need of intensive care in a medical center in China.Design and Performance of a New Severity Score for Intermediate Care.Development and cross-validation of the in-hospital mortality prediction in advanced cancer patients score: a preliminary study.Comparison of APACHE III, APACHE IV, SAPS 3, and MPM0III and influence of resuscitation status on model performance.High incidence of adverse events during intra-hospital transport of critically ill patients and new related risk factors: a prospective, multicenter study in China.Validation of acute physiologic and chronic health evaluation II scoring system software developed at The Aga Khan University, Pakistan.To develop a regional ICU mortality prediction model during the first 24 h of ICU admission utilizing MODS and NEMS with six other independent variables from the Critical Care Information System (CCIS) Ontario, CanadaWhat every intensivist should know about prognostic scoring systems and risk-adjusted mortality.Limiting intensive care therapy in dying critically Ill patients: Experience from a tertiary care center in United Arab Emirates.Comparison of Proposed Modified and Original Sequential Organ Failure Assessment Scores in Predicting ICU Mortality: A Prospective, Observational, Follow-Up Study.Clinical Features, Short-Term Mortality, and Prognostic Risk Factors of Septic Patients Admitted to Internal Medicine Units: Results of an Italian Multicenter Prospective Study.Potentially ineffective care: time for earnest reexamination.Incorporating initial treatments improves performance of a mortality prediction model for patients with sepsis.A critical review: a combined conceptual framework of severity of illness and clinical judgement for analysing diagnostic judgements in critical illness.Computerized decision support in adult and pediatric critical care.Learning a Severity Score for Sepsis: A Novel Approach based on Clinical Comparisons.Predicting the outcome for individual patients with traumatic brain injury: a case-based review.COMPARISON OF PATIENTS' ADMISSION, MEAN AND HIGHEST SOFA SCORES IN PREDICTION OF ICU MORTALITY: A PROSPECTIVE OBSERVATIONAL STUDY.The relationship between hemorheological parameters and mortality in critically ill patients with and without sepsis.Effect of Body Weight on Hemodynamic Response in Patients Receiving Fixed-Dose Vasopressin for Septic Shock.Performance of the PEdiatric Logistic Organ Dysfunction-2 score in critically ill children requiring plasma transfusions.Myeloperoxidase can differentiate between sepsis and non-infectious SIRS and predicts mortality in intensive care patients with SIRSImpact of intensive care unit organ failures on mortality during the five years after a critical illness.Predictive Value of the Sequential Organ Failure Assessment Score for Mortality in a Contemporary Cardiac Intensive Care Unit Population.Real-time mortality prediction in the Intensive Care Unit.
P2860
Q27008279-4934266B-D9CA-464E-84C0-387510B4C103Q30276779-6D31C049-CB3C-477F-BA63-861E693AF306Q33691503-80C37AD8-54AF-493D-8041-608F1E2BFCE8Q33704617-D5C965CA-F788-4F7F-93EC-285CB04301BAQ33753987-76A30D22-6D28-4F22-A9EF-1F28C21D3B12Q34032408-B2F10C8C-A119-4DC0-9FB1-F4DD551F6C34Q34287608-9788BB41-B070-4253-8BF2-B4CA92B4193CQ35364855-EA94D4FD-1C21-4D27-A395-5B0C2FBE0842Q35674023-2EB8F420-BCF4-43B0-AF81-6FC68A6AF46CQ35677369-B412582A-A28C-42AE-BEAB-946DDC72EF3AQ36291898-E3066C26-B8B7-4652-81B4-758126CBD008Q36300147-BBADDDE3-C445-4EB7-A1B4-3D7115DE980DQ36476225-601A11DF-058A-4A21-8027-DD37BCA80F0EQ36596740-FB3BA827-004E-4725-A732-36EF5132D5D5Q36634231-7BB33C08-0C01-4D1B-AB5C-2D8B12E82FB4Q37311839-CA8213C4-0690-4048-A24E-1800440AA331Q37443183-CABF990D-2C19-4C9A-9768-4B2ECFBBAFC8Q37571881-6B43076B-CCB4-41D9-80BB-C38C6996D702Q37624032-897D2020-B2C4-4181-89D4-731D64C3B02FQ37720308-CDE20156-0533-49B3-BABC-EAF9612FD300Q38007121-9191A09F-E74E-40BD-857A-E612D60D5757Q38174192-71B6339B-F6D4-4649-AF77-4A2D5DC29A34Q38202111-94C21113-7A28-4CE7-B9C2-7564BF826F64Q38615140-C388CD60-5375-41AF-9166-7BAB4536E8BBQ38725668-BE364248-3388-4CA8-B156-9ECB75DF1DA1Q40414619-653CD916-8C05-4A17-8A07-DDFFBCA7F71FQ40603532-C55A6AAD-47A2-4E42-ADEB-085B256E3DE6Q40638110-5D559AD2-494B-4146-90BF-61C429ED5A98Q41356381-81BA1166-B88D-4808-9C26-1A04F8A39475Q41685301-FCDD5471-A801-4471-8F88-A8C5E4FE643BQ44489497-F9B98CA7-2D5B-47CA-B38B-75587E4AFFB3Q55030785-1C0AEA78-22DA-4DC9-AE67-28D1FD23960CQ55091676-41EC1D31-10C8-458A-BEE8-2EDB0C3FD1F5
P2860
Severity of illness scoring systems in the intensive care unit.
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
@tr
scientific article published on January 2011
@en
vedecký článok
@sk
vetenskaplig artikel
@sv
videnskabelig artikel
@da
vědecký článek
@cs
name
Severity of illness scoring systems in the intensive care unit.
@en
Severity of illness scoring systems in the intensive care unit.
@nl
type
label
Severity of illness scoring systems in the intensive care unit.
@en
Severity of illness scoring systems in the intensive care unit.
@nl
prefLabel
Severity of illness scoring systems in the intensive care unit.
@en
Severity of illness scoring systems in the intensive care unit.
@nl
P1476
Severity of illness scoring systems in the intensive care unit.
@en
P2093
Bekele Afessa
Mark T Keegan
P304
P356
10.1097/CCM.0B013E3181F96F81
P407
P50
P577
2011-01-01T00:00:00Z