Purchase one-time access:
Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online accessOne-time access price info
- For academic or personal research use, select 'Academic and Personal'
- For corporate R&D use, select 'Corporate R&D Professionals'
Subscribers receive full online access to your subscription and archive of back issues up to and including 2002.
Content published before 2002 is available via pay-per-view purchase only.
Subscribe:
Subscribe to Critical Care ClinicsReferences
- Critical care medicine in the United States 1985–2000: an analysis of bed numbers, use, and costs.Crit Care Med. 2004; 32: 1254-1259
ICU measure overview. Available at: http://www.jcaho.org/pms/core+measures/0ficucoremeasureoverview.pdf. Accessed March 3, 2005.
- Intensive care unit quality improvement: a “how-to” guide for the interdisciplinary team.Crit Care Med. 2006; 34: 211-218
- Therapeutic intervention scoring system: a method for quantitative comparison of patient care.Crit Care Med. 1974; 2: 57-60
- Prognosis in acute organ-system failure.Ann Surg. 1985; 202: 685-693
- Multiple systems organ failure: epidemiology and prognosis.Crit Care Clin. 1989; 5: 221-232
- Multiple organ dysfunction score: a reliable descriptor of a complex clinical outcome.Crit Care Med. 1995; 23: 1638-1652
- The SOFA (Sepsis-related Organ Failure Assessment) score to describe organ dysfunction/failure. On behalf of the working group on sepsis-related problems of the European society of intensive care medicine.Intensive Care Med. 1996; 22: 707-710
- The logistic organ dysfunction system. A new way to assess organ dysfunction in the intensive care unit. ICU scoring group.JAMA. 1996; 276: 802-810
- The use of severity scores in the intensive care unit.Intensive Care Med. 2005; 31: 1618-1623
- Prognosis in critical care.Annu Rev Biomed Eng. 2006; 8: 567-599
- Hadron D.C. Keeler E.B. Rogers W.H. Assessing the performance of mortality models (monograph on the Internet). Rand Corporation, Santa Monica (CA)1993 (Available at:)
- Variations in mortality and length of stay in intensive care units.Ann Intern Med. 1993; 118: 753-761
- Predicting the duration of mechanical ventilation. The importance of disease and patient characteristics.Chest. 1996; 110: 469-479
- The use of risk predictions to identify candidates for intermediate care units. Implications for intensive care utilization and cost.Chest. 1995; 108: 490-499
- The case for using objective scoring systems to predict intensive care unit outcome.Crit Care Clin. 1994; 10: 73-89
- A review of goodness of fit statistics for use in the development of logistic regression models.Am J Epidemiol. 1982; 115: 92-106
- Severity of illness scoring systems and performance appraisal.Anaesthesia. 1998; 53: 1185-1194
- Factors affecting the performance of the models in the mortality probability model II system and strategies of customization: a simulation study.Crit Care Med. 1996; 24: 57-63
- The effects of two methods for customising the original SAPS II model for intensive care patients from South England.Anaesthesia. 2002; 57: 785-793
- Impact of different customization strategies in the performance of a general severity score.Crit Care Med. 1997; 25: 2001-2008
- Mortality prediction using SAPS II: an update for French intensive care units.Crit Care. 2005; 9: R645-R652
- The APACHE III prognostic system: customized mortality predictions for Spanish ICU patients.Intensive Care Med. 1998; 24: 574-581
- APACHE-Acute Physiology and Chronic Health Evaluation: a physiologically based classification system.Crit Care Med. 1981; 9: 591-597
- APACHE II: a severity of disease classification system.Crit Care Med. 1985; 13: 818-829
- A simplified acute physiology score for ICU patients.Crit Care Med. 1984; 12: 975-977
- A method for predicting survival and mortality of ICU patients using objectively derived weights.Crit Care Med. 1985; 13: 519-525
- The APACHE III prognostic system. Risk prediction of hospital mortality for critically ill hospitalized adults.Chest. 1991; 100: 1619-1636
- Evaluation of Acute Physiology and Chronic Health Evaluation III predictions of hospital mortality in an independent database.Crit Care Med. 1998; 26: 1317-1326
- A new simplified acute physiology score (SAPS II) based on a European/North American multicenter study.JAMA. 1993; 270: 2957-2963
- Mortality probability models (MPM II) based on an international cohort of intensive care unit patients.JAMA. 1993; 270: 2478-2486
- Mortality probability models for patients in the intensive care unit for 48 or 72 hours: a prospective, multicenter study.Crit Care Med. 1994; 22: 1351-1358
- Assessing contemporary intensive care unit outcome: an updated mortality probability admission model (MPM0-III).Crit Care Med. 2007; 35 ([Published on line January 23, 2007 ahead of print])
- SAPS 3—from evaluation of the patient to evaluation of the intensive care unit. Part 1: objectives, methods and cohort description.Intensive Care Med. 2005; 31: 1336-1344
- SAPS 3—from evaluation of the patient to evaluation of the intensive care unit. Part 2: development of a prognostic model for hospital mortality at ICU admission.Intensive Care Med. 2005; 31: 1345-1355
- Acute Physiology and Chronic Health Evaluation (APACHE) IV: hospital mortality assessment for today's critically ill patients.Crit Care Med. 2006; 34: 1297-1310
- Benchmark for intensive care unit length of stay: one step forward, several more to go.Crit Care Med. 2006; 34: 2674-2676
- The influence of missing components of the acute physiology score of APACHE III on the measurement of ICU performance.Intensive Care Med. 2005; 31: 1537-1543
100 Top Hospitals™: ICU Benchmarks for Success—2000. Available at: http://www.100tophospitals.com/Media/releases/nr010206_icu.htm. Accessed February 3, 2007.
- Confidence interval estimates of an index of quality performance based on logistic regression models.Stat Med. 1995; 14: 2161-2172
- Community-wide assessment of intensive care outcomes using a physiologically based prognostic measure: implications for critical care delivery from Cleveland health quality choice.Chest. 1999; 115: 793-801
- Effect of varying the case mix on the standardized mortality ratio and W statistic: a simulation study.Chest. 2000; 117: 1112-1117
- UHC operations improvement: adult ICU benchmarking project summary. University Healthsystem Consortium.Best Pract Benchmarking Healthc. 1997; 2: 147-153
- The use of benchmarking to identify top performing critical care units: a preliminary assessment of their policies and practices.J Crit Care. 2003; 18: 76-86
- Intensive care unit length of stay: benchmarking based on acute physiology and chronic health evaluation (APACHE) IV.Crit Care Med. 2006; 34: 2517-2529
- Evaluating the performance of an institution using an intensive care unit benchmark.Mayo Clin Proc. 2005; 80: 174-180
- Clinical decision support systems for outcome measurement and management.AACN Clin Issues. 2000; 11: 351-362
- Why severity models should be used with caution.Crit Care Clin. 1994; 10: 93-110
- Mortality predictions in the intensive care unit: comparing physicians with scoring systems.Crit Care Med. 2006; 34: 878-885
- Ego bias, reverse ego bias, and physicians' prognostic.Crit Care Med. 1991; 19: 1533-1539
- Predicting outcome among intensive care unit patients using computerised trend analysis of daily APACHE II scores corrected for organ system failure.Intensive Care Med. 1988; 14: 558-566
- Identifying potentially ineffective care in the sickest critically ill patients on the third ICU day.Chest. 2004; 126: 1905-1909
- Identifying potentially ineffective care in a community hospital.Crit Care Med. 2002; 30: 1803-1807
- TPN and APACHE.Lancet. 1986; 1: 1478
- Errors and bias in using predictive scoring systems.Crit Care Clin. 1994; 10: 53-72
- Organ dysfunction in patients with severe sepsis.Surg Infect (Larchmt). 2006; 7: S69-S72
- Serial evaluation of the SOFA score to predict outcome in critically ill patients.JAMA. 2001; 286: 1754-1758
- Use of the SOFA score to assess the incidence of organ dysfunction/failure in intensive care units: results of a multicenter, prospective study. Working group on “sepsis-related problems” of the European society of intensive care medicine.Crit Care Med. 1998; 26: 1793-1800
- The multiple organ dysfunction score (MODS) versus the sequential organ failure assessment (SOFA) score in outcome prediction.Intensive Care Med. 2002; 28: 1619-1624
- Prognostication and intensive care unit outcome: the evolving role of scoring systems.Clin Chest Med. 2003; 24: 751-762
- Gastrointestinal failure in intensive care: a retrospective clinical study in three different intensive care units in Germany and Estonia.BMC Gastroenterol. 2006; 6: 19
Article info
Footnotes
B.A. was supported by Mayo Clinic Critical Care Research fund and Department of Medicine, Quality QUEST.