Sociodemographic and Clinical Characteristics Are Not Clinically Useful Predictors of Refill Adherence in Patients With Hypertension
Steiner et al.
Circ Cardiovasc Qual Outcomes 2009;2:451-457.
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Logistic risk model predicting postoperative respiratory failure in patients undergoing valve surgery
Filsoufi et al.
Eur. J. Cardiothorac. Surg. 2008;34:953-959.
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Severity scoring systems in the critically ill
Bouch and Thompson
Contin Educ Anaesth Crit Care Pain 2008;8:181-185.
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Review of the Acuity Scoring Systems for the Pediatric Intensive Care Unit and Their Use in Quality Improvement
Marcin and Pollack
J Intensive Care Med 2007;22:131-140.
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Comparison of P-POSSUM and O-POSSUM in predicting mortality after oesophagogastric resections
Nagabhushan et al.
Postgrad. Med. J. 2007;83:355-358.
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Pulmonary leptospirosis: an excellent response to bolus methylprednisolone.
Shenoy et al.
Postgrad. Med. J. 2006;82:602-606.
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Utility of the Chronic Disease Score and Charlson Comorbidity Index as Comorbidity Measures for Use in Epidemiologic Studies of Antibiotic-resistant Organisms
McGregor et al.
Am J Epidemiol 2005;161:483-493.
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Frequency of Laboratory Test Utilization in the Intensive Care Unit and Its Implications for Large-Scale Data Collection Efforts
Frassica
J. Am. Med. Inform. Assoc. 2005;12:229-233.
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Outcome of Patients With End-Stage Renal Disease Admitted to the Intensive Care Unit
Dara et al.
Mayo Clin Proc. 2004;79:1385-1390.
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The Mortality Index for Neonatal Transportation Score: A New Mortality Prediction Model for Retrieved Neonates
Broughton et al.
Pediatrics 2004;114:e424-e428.
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Accepting Critically Ill Transfer Patients: Adverse Effect on a Referral Center's Outcome and Benchmark Measures
Rosenberg et al.
ANN INTERN MED 2003;138:882-890.
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Recruitment maneuvers during lung protective ventilation in acute respiratory distress syndrome
Jardin et al.
Am. J. Respir. Crit. Care Med. 2003;167:92-92.
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A comparison of three scoring systems for mortality risk among retrieved intensive care patients
Tibby et al.
Arch. Dis. Child. 2002;87:421-425.
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Analytic Reviews: Considerations in the Development of Intensive Care Unit Report Cards
Gupta et al.
J Intensive Care Med 2002;17:211-217.
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Primary Graft Failure Following Lung Transplantation* : Predictive Factors of Mortality
Thabut et al.
Chest 2002;121:1876-1882.
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Sequential Assessment of Multiple Organ Dysfunction as a Predictor of Outcome
Pettila et al.
JAMA 2002;287:713-714.
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Quality Improvement Report: Linking guideline to regular feedback to increase appropriate requests for clinical tests: blood gas analysis in intensive care
Merlani et al.
BMJ 2001;323:620-624.
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Problems in the development, validation and adaptation of prognostic models for acute renal failure
Lins et al.
Nephrol Dial Transplant 2001;16:1098-1101.
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Growth Limits of Listeria monocytogenes as a Function of Temperature, pH, NaCl, and Lactic Acid
Tienungoon et al.
Appl. Environ. Microbiol. 2000;66:4979-4987.
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Volume-Outcome Relationships in Pediatric Intensive Care Units
Tilford et al.
Pediatrics 2000;106:289-294.
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A Comparison of Neonatal Mortality Risk Prediction Models in Very Low Birth Weight Infants
Pollack et al.
Pediatrics 2000;105:1051-1057.
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Mortality prediction model is preferable to APACHE
Shann
BMJ 2000;320:714-714.
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Development of a Pediatric Multiple Organ Dysfunction Score: Use of Two Strategies
Leteurtre et al.
Med Decis Making 1999;19:399-410.
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Outcomes Research in Critical Care . Results of the American Thoracic Society Critical Care Assembly Workshop on Outcomes Research
RUBENFELD et al.
Am. J. Respir. Crit. Care Med. 1999;160:358-367.
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Severity Of Illness Models For Respiratory Syncytial Virus-Associated Hospitalization
MOLER and OHMIT
Am. J. Respir. Crit. Care Med. 1999;159:1234-1240.
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Subjective versus statistical model assessment of mortality risk in open heart surgical procedures
Pons et al.
Ann. Thorac. Surg. 1999;67:635-640.
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Critical Care Outcomes in the United Kingdom : Sobering Wake-up Call or Stability of the Lamppost?
Wood et al.
Chest 1999;115:614-616.
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Community-Wide Assessment of Intensive Care Outcomes Using a Physiologically Based Prognostic Measure: Implications for Critical Care Delivery From Cleveland Health Quality Choice
Sirio et al.
Chest 1999;115:793-801.
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Validation of the Rockall risk scoring system in upper gastrointestinal bleeding
Vreeburg et al.
Gut 1999;44:331-335.
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Early Predictive Factors of Survival in the Acute Respiratory Distress Syndrome . A Multivariate Analysis
MONCHI et al.
Am. J. Respir. Crit. Care Med. 1998;158:1076-1081.
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Cardiac Surgical Mortality: Comparison Among Different Additive Risk-Scoring Models in a Multicenter Sample
Pons et al.
Arch Surg 1998;133:1053-1057.
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Physicians' Survival Predictions for Patients With Acute Congestive Heart Failure
Poses et al.
Arch Intern Med 1997;157:1001-1007.
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Pediatric Mortality Probability Estimated From Pre-ICU Severity of Illness
Kanter et al.
Pediatrics 1997;99:59-63.
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The Logistic Organ Dysfunction System: A New Way to Assess Organ Dysfunction in the Intensive Care Unit
Le Gall et al.
JAMA 1996;276:802-810.
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Incidence, Risk Factors, and Outcome of Severe Sepsis and Septic Shock in Adults: A Multicenter Prospective Study in Intensive Care Units
Brun-Buisson et al.
JAMA 1995;274:968-974.
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