Relationship between mortality and first-day events index from routinely gathered physiological variables in ICU patients

Medicina Intensiva

Volumn 36, Issue 9, 2012, Pages 634-643

  Rivera Fernandez R ^a   Castillo Lorente, E ^b   Nap, R ^c   Vazquez Mata G ^d   Reis Miranda, D ^c  

^a HOSPITAL REGIONAL UNIVERSITARIO DE MÁLAGA   (Spain)

^b University Hospital of Jaen   (Spain)

^c UNIVERSITY MEDICAL CENTER GRONINGEN   (Netherlands)

^d Medical Education Foundation   (Spain)

Author keywords

Critical care; Events; Intensive care; Severity of illness index

Indexed keywords

ADULT; AGE; AGED; AREA UNDER THE CURVE; ARTICLE; CONTROLLED STUDY; DIAGNOSTIC TEST ACCURACY STUDY; DISEASE ASSOCIATION; DISEASE CLASSIFICATION; DISEASE DURATION; DISEASE SEVERITY; DIURESIS; FIRST DAY EVENTS INDEX; GEOGRAPHIC AND GEOLOGICAL PARAMETERS; GLASGOW COMA SCALE; HEART RATE; HUMAN; HYPOXIA; INTENSIVE CARE UNIT; LENGTH OF STAY; MAJOR CLINICAL STUDY; MORTALITY; MULTICENTER STUDY (TOPIC); OXYGEN SATURATION; PATIENT MONITORING; PRE ADMISSION LOCATION; PREDICTION; PROGNOSIS; PROSPECTIVE STUDY; PULSE RATE; RANDOMIZED CONTROLLED TRIAL (TOPIC); RECEIVER OPERATING CHARACTERISTIC; SCORING SYSTEM; SURVIVAL; SYSTOLIC BLOOD PRESSURE; VALIDATION STUDY;

ADULT; AGED; AGED, 80 AND OVER; HOSPITAL MORTALITY; HUMANS; INTENSIVE CARE UNITS; MIDDLE AGED; MONITORING, PHYSIOLOGIC; PROSPECTIVE STUDIES; SEVERITY OF ILLNESS INDEX; TIME FACTORS; VITAL SIGNS;

EID: 84870243176     PISSN: 02105691     EISSN: 15786749     Source Type: Journal    
DOI: 10.1016/j.medin.2012.04.006     Document Type: Article

References (40)

1. Knaus W.A., Zimmerman J.E., Wagner D.P., Draper E.A., Lawrence D.E. APACHE-acute physiology and chronic health evaluation: a physiologically based classification system. Crit Care Med 1981, 9:591-597.
2. Knaus W.A., Draper E.A., Wagner D.P., Zimmerman J.E. APACHE II: a severity of disease classification system. Crit Care Med 1985, 13:818-829.
3. Knaus W.A., Wagner D.P., Draper E.A., Zimerman J.E., Bergner M., Bastos P.G., et al. The Apache III prognostic system. Risk prediction of hospital mortality for critically ill hospitalized adults. Chest 1991, 100:1619-1636.
4. Zimmerman J.E., Kramer A.A., McNair D.S., Malila F.M. Acute Physiology and Chronic Health Evaluatio (APACHE) IV: hospital mortality assessment for today's critically ill patientes. Crit Care Med 2006, 34:1297-1310.
5. Le Gall J.R., Loirat P., Alperovitch A., Glaser P., Granthil C., Mathiue D., et al. A simplified acute physiology score for ICU patients. Crit Care Med 1984, 12:975-977.
6. Le Gall J.R., Lemeshow S., Saulnier F. A new simplified acute physiology score (SAPS II) based on a European/North American multicenter study. J Am Med Assoc 1993, 270:2957-2963.
7. Moreno R.P., Metnitz P.G., Almeida E., Jordan B., Bauer P., Campos R.A., et al. 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.
8. Lemeshow S., Teres D., Klar J., Avrunin J.S., Steingrub J.S. Mortality probability models (MPM II) based on an international cohort of Intensive care unit patients. J Am Med Asooc 1993, 270:2478-2486.
9. Higgins T.L., Teres D., Copes W.S., Nathanson B.H., Stark M., Kramer A.A. Assessing contemporary intensive care unit outcome: an updated Mortality Probability admission Model (MPM0-III). Crit Care Med 2007, 35:827-835.
10. Teres D., Higgins T.L. What if your hospital informatics department could provide severity adjuster. Crit Care Med 2000, 28:3570-3571.
11. Higgins T., McGee W., Steingrub J.S., Rapoport J., Lemeshow S., Teres D. Early indicators of prolonged intensive care unit stay: impact of illness severity, physician staffing, and pre-intensive care unit length of stay. Crit Care Med 2003, 31:45-51.
12. Fidler V., Nap R., Reis Miranda D. The effect of a managerial-based intervention on the occurrence of out-of-range-measurements and mortality in Intensive Care Units. J Crit Care 2004, 19:130-134.
13. Rivera-Fernández R., Nap R., Vázquez-Mata G., Rei-Miranda D. Analysis of physiologic alterations in intensive care unit patients and their relationship with mortality. J Crit Care 2007, 22:120-128.
14. Moreno R., Miranda D.R., Fidler V., Van Schilfgaarde R. Evaluation of two outcome prediction models on an independent database. Crit Care Med 1998, 26:50-61.
15. Moreno R., Reis Miranda D. Nursing staff in intensive care in Europe: the mismatch between planning and practice. Chest 1998, 113:752-758.
16. Moreno R., Apolone G., Miranda D.R. Evaluation of the uniformity of fit of general outcome prediction models. Intensive Care Med 1998, 24:40-47.
17. Iapichino G., Radrizzani D., Bertolini G., Ferla L., Pasetti G., Pezzi A., et al. Daily classification of the level of care. A method to describe clinical course of illness, use of resources and quality of intensive care assistance. Intensive Care Med 2001, 27:131-136.
18. Moreno R., Apolone G. Impact of different customization strategies in the performance of a general severity score. Crit Care Med 1997, 25:2001-2008.
19. Reis Miranda D., Moreno R., Iapichino G. Nine Equivalents of Nursing Manpower Use Score (NEMS). Intensive Care Med 1997, 23:760-765.
20. Vincent J.L., Moreno R., Takala J., Willatts S., De Mendonça A., Bruining H., et al. The SOFA (sepsis-related organ failure assessment) score to describe organ dysfunction/failure. Intensive Care Med 1996, 22:707-710.
21. Moreno R., Reis Miranda D., Matos R., Fevereiro T. Mortality after discharge from intensive care: the impact of organ system failure and nursing workload use at discharge. Intensive Care Med 2001, 27:999-1004.
22. Hanley J.A., Mcneil B.J. The meaning and use of the area under receiver operating characteristics (ROC) curve. Radiology 1982, 143:29-36.
23. Miller R.G. The Jacknife - a review. Biometrika 1974, 61:1-15.
24. Rothschild J.M., Landrigan C.P., Cronin J.W., Kaushal R., Lockley S.W., Burdick E., et al. The Critical Care Safety Study: the incidence and nature of adverse events and serious medical errors in intensive care. Crit Care Med 2005, 33:1694-1700.
25. Chambrin M.C. Alarms in the intensive care unit: how can the number of false alarms be reduced?. Crit Care 2001, 5:184-188.
26. Imhoff M., Kuhls S. Alarm algoritms in critical care monitoring. Anesth Analg 2006, 102:1525-1537.
27. Goldstein B., McNames J., McDonald A., Ellenby M., Lai S., Sun Z., et al. Physiologic data acquisition system database for the study of disease dynamics in the intensive care unit. Crit Care Med 2003, 31:433-441.
28. Korhonen I., van Gils M., Gade J. The challeges in creating critical-care databases. IEEE Eng Med Biol Mag 2001, 20:58-62.
29. Kropyvnytskyy I., Saunders F., Schierek P., Pols M. A computer system for continuous long-term recording, processing, and analysis of physiologic data of brain injured patients in ICU settings. Brain Inj 2001, 15:577-583.
30. Siachalou E.J., Kitsas I., Konstantinos J., Zadelis E.T., Saragiotis C.D., Tolias Y.A., et al. ICASP: an intensive care acquisition and signal processing integrated framework. J Med Syst 2005, 29:646-663.
31. Clifford G.D., Long W.J., Moody G.B., Szolovits P. Robust parameter extraction for decision support using multimodal intensive care data. Phil Trans R Soc A 2009, 367:411-429.
32. Hanson W.C., Marshall B.E. Artificial intelligence applications in the intensive care unit. Crit Care Med 2001, 29:427-435.
33. Dominguez L., Enríquez P., álvarez P., De Frutos M., Sagredo V., López-Messa J., et al. Evaluación de la reproducibilidad de la recogida de datos para el APACHE II: APACHE III adaptado para España y SAPS II en nueve Unidades de Cuidados Intensivos en España. Med Intensiva 2008, 32:15-22.
34. Grogan E.L., Norris P.R., Speroff T., Ozdas A., France D.J., Harris P.A., et al. Volatility: a new vital sign using a novel bedside monitoring strategy. J Trauma 2005, 58:7-12.
35. Norris Pr, Morris J.A., Ozdas A., Grogan E.L., Williams A.E. Heart rate variability predicts trauma patient outcome as early as 12h: implications for military and civilian triage. J Surg Res 2005, 129:122-128.
36. Norris P.r., Morris J.A., Ozdas A., Waitman L.R., Harrell F.E, Williams A.E., et al. Reduced Heart variability: an indicator of cardiac uncoupling and diminished physiologic reserve in 1425 trauma patients. J Trauma 2006, 60:1165-1173.
37. Goldstein B., Fiser D.H., Kelly M.M., Mickelsen D., Ruttimann V., Pollac M.M. Descomplexification in critical illness and injury: relationship between heart rate variability, severity of illness, and outcome. Crit Care Med 1998, 26:352-357.
38. Buchman T.G., Stein P.K., Goldstein B. Heart rate variability in critical illness and critical care. Curr Opin Crit Care 2002, 8:311-315.
39. Render M.L., Kim H.M., Deddens J., Sivaganesin S., Welsh D.E., Bickel K., et al. Variation in outcomes in Veterans Affairs intensive care units with a computerized severity measure. Crit Care Med 2005, 33:930-939.
40. Tarassenko L., Clifton D.A., Pinsky M.R., Hravnak M.T., Woods J.R., Watkinson P.J. Centile-based early warning scores derived from statistical distributions of vital signs. Resuscitation 2011, 82:1013-1018.