Estimating long-term survival of critically ill patients: the PREDICT model.
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Effect of an injury awareness education program on risk-taking behaviors and injuries in juvenile justice offenders: a retrospective cohort studyA comparison of prognostic significance of strong ion gap (SIG) with other acid-base markers in the critically ill: a cohort studyAn injury awareness education program on outcomes of juvenile justice offenders in Western Australia: an economic analysisSerum procalcitonin level and SOFA score at discharge from the intensive care unit predict post-intensive care unit mortality: a prospective study.Predictors of mortality and short-term physical and cognitive dependence in critically ill persons 75 years and older: a prospective cohort study.Comparison of Charlson comorbidity index with SAPS and APACHE scores for prediction of mortality following intensive careMeasuring and predicting long-term outcomes in older survivors of critical illness.The journey from traffic offender to severe road trauma victim: destiny or preventive opportunity?One-year survival and resource use after critical illness: impact of organ failure and residual organ dysfunction in a cohort study in Brazil.Pre-existing atrial fibrillation and risk of arterial thromboembolism and death in intensive care unit patients: a population-based cohort studyThe Deyo-Charlson and Elixhauser-van Walraven Comorbidity Indices as predictors of mortality in critically ill patients.Derivation and validation of automated electronic search strategies to extract Charlson comorbidities from electronic medical records.Outcomes of Patients Who Have Do Not Resuscitate Status prior to Being Admitted to an Intensive Care Unit.Landmark survival as an end-point for trials in critically ill patients--comparison of alternative durations of follow-up: an exploratory analysisImpact of serum biomarkers and clinical factors on intensive care unit mortality and 6-month outcome in relatively healthy patients with severe pneumonia and acute respiratory distress syndrome.The impact of post-operative sepsis on mortality after hospital discharge among elective surgical patients: a population-based cohort study.Race, Ethnicity, Health Insurance, and Mortality in Older Survivors of Critical Illness.Factors associated with life-sustaining treatment restriction in a general intensive care unit.Reactive thrombocytosis and risk of subsequent venous thromboembolism: a cohort study.Cost-effectiveness of using recombinant activated factor VII as an off-label rescue treatment for critical bleeding requiring massive transfusion.Association between Malnutrition and 28-Day Mortality and Intensive Care Length-of-Stay in the Critically ill: A Prospective Cohort Study.Risk factors and outcome associated with hypomagnesemia in massive transfusion.Letter to the editor: decompressive craniectomy for acute subdural hematomaDose-related effect of smoking on mortality in critically ill patients: a multicentre cohort study
P2860
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P2860
Estimating long-term survival of critically ill patients: the PREDICT model.
description
2008 nî lūn-bûn
@nan
2008 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
name
Estimating long-term survival of critically ill patients: the PREDICT model.
@ast
Estimating long-term survival of critically ill patients: the PREDICT model.
@en
type
label
Estimating long-term survival of critically ill patients: the PREDICT model.
@ast
Estimating long-term survival of critically ill patients: the PREDICT model.
@en
prefLabel
Estimating long-term survival of critically ill patients: the PREDICT model.
@ast
Estimating long-term survival of critically ill patients: the PREDICT model.
@en
P2860
P50
P1433
P1476
Estimating long-term survival of critically ill patients: the PREDICT model.
@en
P2093
Steven A Webb
P2860
P356
10.1371/JOURNAL.PONE.0003226
P407
P577
2008-09-17T00:00:00Z