Published in Intensive Care Med on August 17, 2005
Low serum 25-hydroxyvitamin D at critical care initiation is associated with increased mortality. Crit Care Med (2012) 2.97
Estimates of the need for palliative care consultation across united states intensive care units using a trigger-based model. Am J Respir Crit Care Med (2014) 2.95
The Sequential Organ Failure Assessment score for predicting outcome in patients with severe sepsis and evidence of hypoperfusion at the time of emergency department presentation. Crit Care Med (2009) 2.92
Clinical review: scoring systems in the critically ill. Crit Care (2010) 2.78
Association of low serum 25-hydroxyvitamin D levels and mortality in the critically ill. Crit Care Med (2011) 2.45
Comparison of APACHE III, APACHE IV, SAPS 3, and MPM0III and influence of resuscitation status on model performance. Chest (2012) 2.24
A simple clinical predictive index for objective estimates of mortality in acute lung injury. Crit Care Med (2009) 1.91
Clinical outcomes of patients requiring ventilatory support in Brazilian intensive care units: a multicenter, prospective, cohort study. Crit Care (2013) 1.90
Simplified severe sepsis protocol: a randomized controlled trial of modified early goal-directed therapy in Zambia. Crit Care Med (2014) 1.84
Mortality prediction in intensive care units with the Super ICU Learner Algorithm (SICULA): a population-based study. Lancet Respir Med (2014) 1.68
Elevation of blood urea nitrogen is predictive of long-term mortality in critically ill patients independent of "normal" creatinine. Crit Care Med (2011) 1.57
Changes in hospital mortality for United States intensive care unit admissions from 1988 to 2012. Crit Care (2013) 1.49
Patient volume affects outcome in critically ill patients. Wien Klin Wochenschr (2009) 1.45
Electrical muscle stimulation prevents critical illness polyneuromyopathy: a randomized parallel intervention trial. Crit Care (2010) 1.45
Early sedation and clinical outcomes of mechanically ventilated patients: a prospective multicenter cohort study. Crit Care (2014) 1.44
Performance of SAPS II and SAPS III scores in post-cardiac arrest. Minerva Anestesiol (2012) 1.43
Design and conduct of the activated protein C and corticosteroids for human septic shock (APROCCHSS) trial. Ann Intensive Care (2016) 1.39
SAPS 3 score as a predictive factor for postoperative referral to intensive care unit. Ann Intensive Care (2016) 1.38
The impact of body temperature abnormalities on the disease severity and outcome in patients with severe sepsis: an analysis from a multicenter, prospective survey of severe sepsis. Crit Care (2013) 1.32
Electrical muscle stimulation preserves the muscle mass of critically ill patients: a randomized study. Crit Care (2009) 1.30
A comparison between the APACHE II and Charlson Index Score for predicting hospital mortality in critically ill patients. BMC Health Serv Res (2009) 1.30
Delta neutrophil index as an early marker of disease severity in critically ill patients with sepsis. BMC Infect Dis (2011) 1.30
Dynamic data during hypotensive episode improves mortality predictions among patients with sepsis and hypotension. Crit Care Med (2013) 1.24
Insulin-treated diabetes is not associated with increased mortality in critically ill patients. Crit Care (2010) 1.18
Mortality probability model III and simplified acute physiology score II: assessing their value in predicting length of stay and comparison to APACHE IV. Chest (2009) 1.18
Early initiation of low-dose corticosteroid therapy in the management of septic shock: a retrospective observational study. Crit Care (2012) 1.14
Admission factors associated with intensive care unit readmission in critically ill oncohematological patients: a retrospective cohort study. Rev Bras Ter Intensiva (2016) 1.07
Neighborhood poverty rate and mortality in patients receiving critical care in the academic medical center setting. Chest (2011) 1.03
Impact of intensive care unit admission during morning bedside rounds and mortality: a multi-center retrospective cohort study. Crit Care (2012) 1.02
Validation of the APACHE IV model and its comparison with the APACHE II, SAPS 3, and Korean SAPS 3 models for the prediction of hospital mortality in a Korean surgical intensive care unit. Korean J Anesthesiol (2014) 1.02
Pancreatic stone protein as an early biomarker predicting mortality in a prospective cohort of patients with sepsis requiring ICU management. Crit Care (2012) 1.00
Different patient case mix by applying the 2003 SCCM/ESICM/ACCP/ATS/SIS sepsis definitions instead of the 1992 ACCP/SCCM sepsis definitions in surgical patients: a retrospective observational study. BMC Med Inform Decis Mak (2009) 0.99
The handheld blood lactate analyser versus the blood gas based analyser for measurement of serum lactate and its prognostic significance in severe sepsis. Med J Armed Forces India (2016) 0.97
Impact of nurse-led remote screening and prompting for evidence-based practices in the ICU*. Crit Care Med (2014) 0.97
Strain echocardiography in septic shock - a comparison with systolic and diastolic function parameters, cardiac biomarkers and outcome. Crit Care (2015) 0.95
Physicochemical analysis of blood and urine in the course of acute kidney injury in critically ill patients: a prospective, observational study. BMC Anesthesiol (2013) 0.94
Clinical review: Thinking outside the box--an iconoclastic view of current practice. Crit Care (2011) 0.94
Scoring systems in the intensive care unit: A compendium. Indian J Crit Care Med (2014) 0.93
Evaluation of Simplified Acute Physiology Score 3 performance: a systematic review of external validation studies. Crit Care (2014) 0.93
Hospital mortality of adults admitted to Intensive Care Units in hospitals with and without Intermediate Care Units: a multicentre European cohort study. Crit Care (2014) 0.90
Validation of the Simplified Acute Physiology Score 3 scoring system in a Korean intensive care unit. Yonsei Med J (2011) 0.90
Modification of Acute Physiology and Chronic Health Evaluation II score through recalibration of risk prediction model in critical care patients of a respiratory disease referral center. Int J Crit Illn Inj Sci (2013) 0.90
Year in review in Intensive Care Medicine 2009: I. Pneumonia and infections, sepsis, outcome, acute renal failure and acid base, nutrition and glycaemic control. Intensive Care Med (2010) 0.89
The Simplified Acute Physiology Score III Is Superior to the Simplified Acute Physiology Score II and Acute Physiology and Chronic Health Evaluation II in Predicting Surgical and ICU Mortality in the "Oldest Old". Curr Gerontol Geriatr Res (2014) 0.89
Machine Learning and Decision Support in Critical Care. Proc IEEE Inst Electr Electron Eng (2016) 0.88
Low but sufficient anidulafungin exposure in critically ill patients. Antimicrob Agents Chemother (2013) 0.87
A comparative study of four intensive care outcome prediction models in cardiac surgery patients. J Cardiothorac Surg (2011) 0.87
Individual Organ Failure and Concomitant Risk of Mortality Differs According to the Type of Admission to ICU - A Retrospective Study of SOFA Score of 23,795 Patients. PLoS One (2015) 0.86
An increase in mean platelet volume after admission is associated with higher mortality in critically ill patients. Ann Intensive Care (2014) 0.85
Prognosis of patients with shock receiving vasopressors. World J Emerg Med (2013) 0.85
Etiologies, diagnostic strategies, and outcomes of diffuse pulmonary infiltrates causing acute respiratory failure in cancer patients: a retrospective observational study. Crit Care (2013) 0.85
Immunomodulatory effect of continuous venovenous hemofiltration during sepsis: preliminary data. Biomed Res Int (2013) 0.84
APACHE III outcome prediction in patients admitted to the intensive care unit after liver transplantation: a retrospective cohort study. BMC Surg (2009) 0.83
Performance of SAPS II and SAPS 3 in intermediate care. PLoS One (2013) 0.83
Liver function predicts survival in patients undergoing extracorporeal membrane oxygenation following cardiovascular surgery. Crit Care (2016) 0.83
Scoring Systems in Assessing Survival of Critically Ill ICU Patients. Med Sci Monit (2015) 0.83
Improvement of antibiotic therapy and ICU survival in severe non-pneumococcal community-acquired pneumonia: a matched case-control study. Crit Care (2015) 0.82
Predicting one-year mortality of critically ill patients with early acute kidney injury: data from the prospective multicenter FINNAKI study. Crit Care (2015) 0.82
Changes in cysteinyl leukotrienes during and after cardiac surgery with cardiopulmonary bypass in patients with and without chronic obstructive pulmonary disease. J Thorac Cardiovasc Surg (2011) 0.82
The impact of performance status and comorbidities on the short-term prognosis of very elderly patients admitted to the ICU. BMC Anesthesiol (2014) 0.82
The good and the bad of diabetes mellitus in the critically ill. Crit Care (2011) 0.82
American Society of Anesthesiologists Score: still useful after 60 years? Results of the EuSOS Study. Rev Bras Ter Intensiva (2015) 0.81
Predicting mortality in intensive care unit survivors using a subjective scoring system. Crit Care (2007) 0.81
Incidence and predisposing factors for the development of disturbed glucose metabolism and DIabetes mellitus AFter Intensive Care admission: the DIAFIC study. Crit Care (2015) 0.80
Correlation of fluid balance and postoperative pulmonary complications in patients after esophagectomy for cancer. J Thorac Dis (2015) 0.80
External validation of the Acute Physiology and Chronic Health Evaluation II in Korean intensive care units. Yonsei Med J (2013) 0.80
What every intensivist should know about prognostic scoring systems and risk-adjusted mortality. Rev Bras Ter Intensiva (2016) 0.79
Differences in clinical outcomes according to weaning classifications in medical intensive care units. PLoS One (2015) 0.79
A comparison of prognostic significance of strong ion gap (SIG) with other acid-base markers in the critically ill: a cohort study. J Intensive Care (2016) 0.79
Impact of chloride and strong ion difference on ICU and hospital mortality in a mixed intensive care population. Ann Intensive Care (2016) 0.79
Is SAPS 3 better than APACHE II at predicting mortality in critically ill transplant patients? Clinics (Sao Paulo) (2013) 0.79
Intensive care performance: How should we monitor performance in the future? World J Crit Care Med (2014) 0.79
Performance of the SAPS 3 admission score as a predictor of ICU mortality in a Philippine private tertiary medical center intensive care unit. J Intensive Care (2014) 0.78
Predictors of response to corticosteroid treatment in patients with early acute respiratory distress syndrome: results of a pilot study. Yonsei Med J (2015) 0.77
Treatment intensity, age and outcome in medical ICU patients: results of a French administrative database. Ann Intensive Care (2016) 0.77
The predictive value of early acute kidney injury for long-term survival and quality of life of critically ill patients. Crit Care (2016) 0.77
How is intensive care reimbursed? A review of eight European countries. Ann Intensive Care (2013) 0.77
Influence of quality of care and individual patient characteristics on quality of life and return to work in survivors of the acute respiratory distress syndrome: protocol for a prospective, observational, multi-centre patient cohort study (DACAPO). BMC Health Serv Res (2015) 0.76
A straightforward approach to designing a scoring system for predicting length-of-stay of cardiac surgery patients. BMC Med Inform Decis Mak (2014) 0.76
Categorical measurements of subjectiveness: is there still a role for the ASA classification? Rev Bras Ter Intensiva (2015) 0.75
Determinants of the calibration of SAPS II and SAPS 3 mortality scores in intensive care: a European multicenter study. Crit Care (2017) 0.75
Comparison of Proposed Modified and Original Sequential Organ Failure Assessment Scores in Predicting ICU Mortality: A Prospective, Observational, Follow-Up Study. Scientifica (Cairo) (2016) 0.75
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, Canada. J Intensive Care (2016) 0.75
How many general and inflammatory variables need to be fulfilled when defining sepsis due to the 2003 SCCM/ESICM/ACCP/ATS/SIS definitions in critically ill surgical patients: a retrospective observational study. BMC Anesthesiol (2010) 0.75
Design and Performance of a New Severity Score for Intermediate Care. PLoS One (2015) 0.75
Patients Admitted to Three Spanish Intensive Care Units for Poisoning: Type of Poisoning, Mortality, and Functioning of Prognostic Scores Commonly Used. Biomed Res Int (2017) 0.75
Aetiology, outcomes & predictors of mortality in acute respiratory distress syndrome from a tertiary care centre in north India. Indian J Med Res (2016) 0.75
Influence of Body Mass Index on Inflammatory Profile at Admission in Critically Ill Septic Patients. Int J Inflam (2015) 0.75
Prediction Models and Their External Validation Studies for Mortality of Patients with Acute Kidney Injury: A Systematic Review. PLoS One (2017) 0.75
Risk factors for and prediction of mortality in critically ill medical-surgical patients receiving heparin thromboprophylaxis. Ann Intensive Care (2016) 0.75
Performance of three prognostic models in patients with cancer in need of intensive care in a medical center in China. PLoS One (2015) 0.75
Gender differences in outcome and use of resources do exist in Swedish intensive care, but to no advantage for women of premenopausal age. Crit Care (2015) 0.75
BK viremia in critically ill surgical patients with hemorrhagic or septic shock. BMC Res Notes (2012) 0.75
Keeping Score of Severity Scores: Taking the Next Step. Crit Care Med (2016) 0.75
Simplified Mortality Score for the Intensive Care Unit (SMS-ICU): protocol for the development and validation of a bedside clinical prediction rule. BMJ Open (2017) 0.75
Pre-admission functional status impacts the performance of the APACHE IV model of mortality prediction in critically ill patients. Crit Care (2017) 0.75
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