메뉴 건너뛰기




Volumn 62, Issue 11, 2007, Pages 1095-1100

Combining multiple comorbidities with Acute Physiology Score to predict hospital mortality of critically ill patients: A linked data cohort study

Author keywords

[No Author keywords available]

Indexed keywords

AGED; APACHE; ARTICLE; COMORBIDITY; CONTROLLED STUDY; CRITICAL ILLNESS; HOSPITAL ADMISSION; HUMAN; INTENSIVE CARE UNIT; MAJOR CLINICAL STUDY; MEDICAL RECORD; MORTALITY; PREVALENCE; ROC CURVE; SCORING SYSTEM; SURVIVOR;

EID: 35048815995     PISSN: 00032409     EISSN: 13652044     Source Type: Journal    
DOI: 10.1111/j.1365-2044.2007.05231.x     Document Type: Article
Times cited : (29)

References (27)
  • 1
    • 0033600337 scopus 로고    scopus 로고
    • ABC of intensive care: Outcome data and scoring systems
    • Gunning K, Rowan K. ABC of intensive care: outcome data and scoring systems. British Medical Journal 1999 319:241 4.
    • (1999) British Medical Journal , vol.319 , pp. 241-4
    • Gunning, K.1    Rowan, K.2
  • 3
    • 18044379773 scopus 로고    scopus 로고
    • A systematic review of the Charlson comorbidity index using Canadian administrative databases: A perspective on risk adjustment in critical care research
    • Needham DM, Scales DC, Laupacis A, Pronovost PJ. A systematic review of the Charlson comorbidity index using Canadian administrative databases: a perspective on risk adjustment in critical care research. Journal of Critical Care 2005 20:12 9.
    • (2005) Journal of Critical Care , vol.20 , pp. 12-9
    • Needham, D.M.1    Scales, D.C.2    Laupacis, A.3    Pronovost, P.J.4
  • 4
    • 33646592518 scopus 로고    scopus 로고
    • Acute Physiology and Chronic Health Evaluation (APACHE) IV: Hospital mortality assessment for today's critically ill patients
    • Zimmerman JE, Kramer AA, McNair DS, Malila FM. Acute Physiology and Chronic Health Evaluation (APACHE) IV: hospital mortality assessment for today's critically ill patients. Critical Care Medicine 2006 34:1297 310.
    • (2006) Critical Care Medicine , vol.34 , pp. 1297-310
    • Zimmerman, J.E.1    Kramer, A.A.2    McNair, D.S.3    Malila, F.M.4
  • 5
    • 26444506063 scopus 로고    scopus 로고
    • SAPS 3 Investigators. 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
    • Moreno RP, Metnitz PG, Almeida E, et al., SAPS 3 Investigators. 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 Medicine 2005 31:1345 55.
    • (2005) Intensive Care Medicine , vol.31 , pp. 1345-55
    • Moreno, R.P.1    Metnitz, P.G.2    Almeida, E.3
  • 6
    • 0023092594 scopus 로고
    • A new method of classifying prognostic comorbidity in longitudinal studies: Development and validation
    • Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. Journal of Chronic Diseases 1987 40:373 83.
    • (1987) Journal of Chronic Diseases , vol.40 , pp. 373-83
    • Charlson, M.E.1    Pompei, P.2    Ales, K.L.3    MacKenzie, C.R.4
  • 9
    • 0036782401 scopus 로고    scopus 로고
    • Impact of different measures of comorbid disease on predicted mortality of intensive care unit patients
    • Johnston JA, Wagner DP, Timmons S, Welsh D, Tsevat J, Render ML. Impact of different measures of comorbid disease on predicted mortality of intensive care unit patients. Medical Care 2002 40:929 40.
    • (2002) Medical Care , vol.40 , pp. 929-40
    • Johnston, J.A.1    Wagner, D.P.2    Timmons, S.3    Welsh, D.4    Tsevat, J.5    Render, M.L.6
  • 10
    • 33646679123 scopus 로고    scopus 로고
    • A comparison of admission and worst 24-hour Acute Physiology and Chronic Health Evaluation II scores in predicting hospital mortality: A retrospective cohort study
    • Ho KM, Dobb GJ, Knuiman M, Finn J, Lee KY, Webb SA. A comparison of admission and worst 24-hour Acute Physiology and Chronic Health Evaluation II scores in predicting hospital mortality: a retrospective cohort study. Critical Care 2006 10:R4.
    • (2006) Critical Care , vol.10
    • Ho, K.M.1    Dobb, G.J.2    Knuiman, M.3    Finn, J.4    Lee, K.Y.5    Webb, S.A.6
  • 11
    • 33745670824 scopus 로고    scopus 로고
    • Data linkage enables evaluation of long-term survival after intensive care
    • Williams TA, Dobb GJ, Finn JC, et al. Data linkage enables evaluation of long-term survival after intensive care. Anaesthesia and Intensive Care 2006 34:307 15.
    • (2006) Anaesthesia and Intensive Care , vol.34 , pp. 307-15
    • Williams, T.A.1    Dobb, G.J.2    Finn, J.C.3
  • 12
    • 0026639706 scopus 로고
    • Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases
    • Deyo RA, Cherkin DC, Ciol MA. Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases. Journal of Clinical Epidemiology 1992 45:613 9.
    • (1992) Journal of Clinical Epidemiology , vol.45 , pp. 613-9
    • Deyo, R.A.1    Cherkin, D.C.2    Ciol, M.A.3
  • 13
    • 0020524559 scopus 로고
    • A method of comparing the areas under receiver operating characteristic curves derived from the same cases
    • Hanley JA, McNeil BJ. A method of comparing the areas under receiver operating characteristic curves derived from the same cases. Radiology 1983 148:839 43.
    • (1983) Radiology , vol.148 , pp. 839-43
    • Hanley, J.A.1    McNeil, B.J.2
  • 15
    • 0035146817 scopus 로고    scopus 로고
    • The cardiac anesthesia risk evaluation score: A clinically useful predictor of mortality and morbidity after cardiac surgery
    • Dupuis JY, Wang F, Nathan H, Lam M, Grimes S, Bourke M. The cardiac anesthesia risk evaluation score: a clinically useful predictor of mortality and morbidity after cardiac surgery. Anesthesiology 2001 94:194 204.
    • (2001) Anesthesiology , vol.94 , pp. 194-204
    • Dupuis, J.Y.1    Wang, F.2    Nathan, H.3    Lam, M.4    Grimes, S.5    Bourke, M.6
  • 16
    • 0024393863 scopus 로고
    • A method of uniform stratification of risk for evaluating the results of surgery in acquired adult heart disease
    • Parsonnet V, Dean D, Bernstein AD. A method of uniform stratification of risk for evaluating the results of surgery in acquired adult heart disease. Circulation 1989 79 (Suppl. I 3 12.
    • (1989) Circulation , vol.791 , pp. 3-12
    • Parsonnet, V.1    Dean, D.2    Bernstein, A.D.3
  • 17
    • 0026631438 scopus 로고
    • Morbidity and duration of ICU stay after cardiac surgery. a model for preoperative risk assessment
    • Tuman KJ, McCarthy RJ, March RJ, Hassan N, Ivankovich AD. Morbidity and duration of ICU stay after cardiac surgery. A model for preoperative risk assessment. Chest 1992 102:36 44.
    • (1992) Chest , vol.102 , pp. 36-44
    • Tuman, K.J.1    McCarthy, R.J.2    March, R.J.3    Hassan, N.4    Ivankovich, A.D.5
  • 18
    • 0028893946 scopus 로고
    • Multicenter validation of a risk index for mortality, intensive care unit stay, and overall hospital length of stay after cardiac surgery
    • the Steering Committee of the Provincial Adult Care Network of Ontario.
    • Tu JV, Jaglal SB, Naylor D, the Steering Committee of the Provincial Adult Care Network of Ontario. Multicenter validation of a risk index for mortality, intensive care unit stay, and overall hospital length of stay after cardiac surgery. Circulation 1995 91:677 84.
    • (1995) Circulation , vol.91 , pp. 677-84
    • Tu, J.V.1    Jaglal, S.B.2    Naylor, D.3
  • 20
    • 18144422039 scopus 로고    scopus 로고
    • Daily assessment of organ dysfunction and survival in intensive care unit cardiac surgical patients
    • Hekmat K, Kroener A, Stuetzer H, et al. Daily assessment of organ dysfunction and survival in intensive care unit cardiac surgical patients. Annals of Thoracic Surgery 2005 79:1555 62.
    • (2005) Annals of Thoracic Surgery , vol.79 , pp. 1555-62
    • Hekmat, K.1    Kroener, A.2    Stuetzer, H.3
  • 21
    • 34247145553 scopus 로고    scopus 로고
    • A new risk prediction model for critical care: The Intensive Care National Audit & Research Centre (ICNARC) model
    • Harrison DA, Parry GJ, Carpenter JR, Short A, Rowan K. A new risk prediction model for critical care: the Intensive Care National Audit & Research Centre (ICNARC) model. Critical Care Medicine 2007 35:1091 8.
    • (2007) Critical Care Medicine , vol.35 , pp. 1091-8
    • Harrison, D.A.1    Parry, G.J.2    Carpenter, J.R.3    Short, A.4    Rowan, K.5
  • 24
    • 11444270240 scopus 로고    scopus 로고
    • Withholding and withdrawal of therapy in New Zealand intensive care units (ICUs): A survey of clinical directors
    • Ho KM, Liang J. Withholding and withdrawal of therapy in New Zealand intensive care units (ICUs): a survey of clinical directors. Anaesthesia and Intensive Care 2004 32:781 6.
    • (2004) Anaesthesia and Intensive Care , vol.32 , pp. 781-6
    • Ho, K.M.1    Liang, J.2
  • 25
    • 1942500844 scopus 로고    scopus 로고
    • Adult-population incidence of severe sepsis in Australian and New Zealand intensive care units
    • Finfer S, Bellomo R, Lipman J, French C, Dobb G, Myburgh J. Adult-population incidence of severe sepsis in Australian and New Zealand intensive care units. Intensive Care Medicine 2004 30:589 96.
    • (2004) Intensive Care Medicine , vol.30 , pp. 589-96
    • Finfer, S.1    Bellomo, R.2    Lipman, J.3    French, C.4    Dobb, G.5    Myburgh, J.6
  • 26
    • 32944479755 scopus 로고    scopus 로고
    • A comparison of comorbidity measurements to predict healthcare expenditures
    • Farley JF, Harley CR, Devine JW. A comparison of comorbidity measurements to predict healthcare expenditures. American Journal of Managed Care 2006 12:110 9.
    • (2006) American Journal of Managed Care , vol.12 , pp. 110-9
    • Farley, J.F.1    Harley, C.R.2    Devine, J.W.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.