메뉴 건너뛰기




Volumn 141, Issue 2, 2012, Pages 518-527

Severity scoring in the critically ill: Part 2: Maximizing value from outcome prediction scoring systems

Author keywords

[No Author keywords available]

Indexed keywords

COMPARATIVE STUDY; CRITICALLY ILL PATIENT; DISEASE SEVERITY; HEALTH CARE FACILITY; HEALTH CARE QUALITY; HIGH RISK PATIENT; HUMAN; INTENSIVE CARE UNIT; LENGTH OF STAY; MEDICAL DECISION MAKING; MORTALITY; OUTCOME ASSESSMENT; PATIENT CODING; PERFORMANCE; PHYSICIAN; PREDICTION; PRIORITY JOURNAL; PROGNOSIS; REVIEW; RISK ASSESSMENT; SCORING SYSTEM; SEVERITY SCORING; STANDARDIZATION;

EID: 84856752042     PISSN: 00123692     EISSN: 19313543     Source Type: Journal    
DOI: 10.1378/chest.11-0331     Document Type: Review
Times cited : (55)

References (31)
  • 1
    • 84855441940 scopus 로고    scopus 로고
    • Severity scoring in the critically ill: Part 1 - Interpretation and accuracy of outcome prediction scoring systems
    • Breslow MJ, Badaw O. Severity scoring in the critically ill: part 1 - interpretation and accuracy of outcome prediction scoring systems. Chest. 2011;141(1):245-252.
    • (2011) Chest , vol.141 , Issue.1 , pp. 245-252
    • Breslow, M.J.1    Badaw, O.2
  • 2
    • 77949892882 scopus 로고    scopus 로고
    • The eICU research institute-a collaboration between industry, healthcare providers, and academia
    • McShea M, Holl R, Badawi O, Riker RR, Silfen E. The eICU research institute-a collaboration between industry, healthcare providers, and academia. IEEE Eng Med Biol Mag. 2010;29(2):18-25.
    • (2010) IEEE Eng Med Biol Mag , vol.29 , Issue.2 , pp. 18-25
    • McShea, M.1    Holl, R.2    Badawi, O.3    Riker, R.R.4    Silfen, E.5
  • 3
    • 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. Crit Care Med. 2006;34(5):1297-1310.
    • (2006) Crit Care Med , vol.34 , Issue.5 , pp. 1297-1310
    • Zimmerman, J.E.1    Kramer, A.A.2    McNair, D.S.3    Malila, F.M.4
  • 4
    • 33748771981 scopus 로고    scopus 로고
    • Intensive care unit length of stay: Benchmarking based on Acute Physiology and Chronic Health Evaluation (APACHE) IV
    • DOI 10.1097/01.CCM.0000240233.01711.D9, PII 0000324620061000000001
    • Zimmerman JE, Kramer AA, McNair DS, Malila FM, Shaffer VL. Intensive care unit length of stay: Benchmarking based on Acute Physiology and Chronic Health Evaluation (APACHE) IV. Crit Care Med. 2006;34(10):2517-2529. (Pubitemid 44413047)
    • (2006) Critical Care Medicine , vol.34 , Issue.10 , pp. 2517-2529
    • Zimmerman, J.E.1    Kramer, A.A.2    McNair, D.S.3    Malila, F.M.4    Shaffer, V.L.5
  • 5
    • 67650835161 scopus 로고    scopus 로고
    • Mortality probability model III and simplified acute physiology score II: Assessing their value in predicting length of stay and comparison to APACHE IV
    • Vasilevskis EE, Kuzniewicz MW, Cason BA, et al. 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;136(1):89-101.
    • (2009) Chest , vol.136 , Issue.1 , pp. 89-101
    • Vasilevskis, E.E.1    Kuzniewicz, M.W.2    Cason, B.A.3
  • 6
    • 85047698192 scopus 로고    scopus 로고
    • Length of stay data as a guide to hospital economic performance for ICU patients
    • Rapoport J, Teres D, Zhao Y, Lemeshow S. Length of stay data as a guide to hospital economic performance for ICU patients. Med Care. 2003;41(3):386-397.
    • (2003) Med Care , vol.41 , Issue.3 , pp. 386-397
    • Rapoport, J.1    Teres, D.2    Zhao, Y.3    Lemeshow, S.4
  • 7
    • 2942527099 scopus 로고    scopus 로고
    • Critical care medicine in the United States 1985-2000: An analysis of bed numbers, use, and costs
    • DOI 10.1097/01.CCM.0000128577.31689.4C
    • Halpern NA, Pastores SM, Greenstein RJ. Critical care medicine in the United States 1985-2000: an analysis of bed numbers, use, and costs. Crit Care Med. 2004;32(6):1254-1259. (Pubitemid 38738575)
    • (2004) Critical Care Medicine , vol.32 , Issue.6 , pp. 1254-1259
    • Halpern, N.A.1    Pastores, S.M.2    Greenstein, R.J.3
  • 8
    • 78651253781 scopus 로고    scopus 로고
    • Severity of illness scoring systems in the intensive care unit
    • Keegan MT, Gajic O, Afessa B. Severity of illness scoring systems in the intensive care unit. Crit Care Med. 2011;39(1):163-169.
    • (2011) Crit Care Med , vol.39 , Issue.1 , pp. 163-169
    • Keegan, M.T.1    Gajic, O.2    Afessa, B.3
  • 9
    • 79953802867 scopus 로고    scopus 로고
    • The run chart: A simple analytical tool for learning from variation in healthcare processes
    • Perla RJ, Provost LP, Murray SK. The run chart: a simple analytical tool for learning from variation in healthcare processes. BMJ Qual Saf. 2011;20(1):46-51.
    • (2011) BMJ Qual Saf , vol.20 , Issue.1 , pp. 46-51
    • Perla, R.J.1    Provost, L.P.2    Murray, S.K.3
  • 10
    • 77953012147 scopus 로고    scopus 로고
    • Trends in length of stay and short-term outcomes among Medicare patients hospitalized for heart failure, 1993-2006
    • Bueno H, Ross JS, Wang Y, et al. Trends in length of stay and short-term outcomes among Medicare patients hospitalized for heart failure, 1993-2006. JAMA. 2010;303(21):2141-2147.
    • (2010) JAMA , vol.303 , Issue.21 , pp. 2141-2147
    • Bueno, H.1    Ross, J.S.2    Wang, Y.3
  • 11
    • 53149127712 scopus 로고    scopus 로고
    • Declining length of hospital stay for pneumonia and postdischarge outcomes
    • Capelastegui A, España PP, Quintana JM, et al. Declining length of hospital stay for pneumonia and postdischarge outcomes. Am J Med. 2008;121(10):845-852.
    • (2008) Am J Med , vol.121 , Issue.10 , pp. 845-852
    • Capelastegui, A.1    España, P.P.2    Quintana, J.M.3
  • 12
    • 74949116220 scopus 로고    scopus 로고
    • The Surviving Sepsis Campaign: Results of an international guideline-based performance improvement program targeting severe sepsis
    • Surviving Sepsis Campaign
    • Levy MM, Dellinger RP, Townsend SR, et al Surviving Sepsis Campaign. The Surviving Sepsis Campaign: results of an international guideline-based performance improvement program targeting severe sepsis. Crit Care Med. 2010;38(2):367-374.
    • (2010) Crit Care Med , vol.38 , Issue.2 , pp. 367-374
    • Levy, M.M.1    Dellinger, R.P.2    Townsend, S.R.3
  • 14
    • 79957808383 scopus 로고    scopus 로고
    • Hospital mortality, length of stay, and preventable complications among critically ill patients before and after tele-ICU reengineering of critical care processes
    • University of Massachusetts Memorial Critical Care Operations Group
    • Lilly CM, Cody S, Zhao H, et al; University of Massachusetts Memorial Critical Care Operations Group. Hospital mortality, length of stay, and preventable complications among critically ill patients before and after tele-ICU reengineering of critical care processes. JAMA. 2011;305(21):2175-2183.
    • (2011) JAMA , vol.305 , Issue.21 , pp. 2175-2183
    • Lilly, C.M.1    Cody, S.2    Zhao, H.3
  • 17
    • 81055130022 scopus 로고    scopus 로고
    • Benchmark data from more than 240,000 adults that reflect the current practice of critical care in the United States
    • Lilly CM, Zuckerman IH, Badawi O, Riker RR. Benchmark data from more than 240,000 adults that reflect the current practice of critical care in the United States. Chest. 2011;140(5):1232-1242.
    • (2011) Chest , vol.140 , Issue.5 , pp. 1232-1242
    • Lilly, C.M.1    Zuckerman, I.H.2    Badawi, O.3    Riker, R.R.4
  • 18
    • 34247145553 scopus 로고    scopus 로고
    • A new risk prediction model for critical care: The Intensive Care National Audit & Research Centre (ICNARC) model
    • DOI 10.1097/01.CCM.0000259468.24532.44
    • 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. Crit Care Med. 2007;35(4):1091-1098. (Pubitemid 46598960)
    • (2007) Critical Care Medicine , vol.35 , Issue.4 , pp. 1091-1098
    • Harrison, D.A.1    Parry, G.J.2    Carpenter, J.R.3    Short, A.4    Rowan, K.5
  • 19
    • 67649528294 scopus 로고    scopus 로고
    • Severity of illness and outcome in ICU patients in the Netherlands: Results from the NICE registry 2006-2007
    • de Lange DW, Dusseljee J, Brinkman S, et al. Severity of illness and outcome in ICU patients in the Netherlands: results from the NICE registry 2006-2007. Neth J Crit Care. 2009;13:16-22.
    • (2009) Neth J Crit Care , vol.13 , pp. 16-22
    • De Lange, D.W.1    Dusseljee, J.2    Brinkman, S.3
  • 22
    • 77955050346 scopus 로고    scopus 로고
    • Standardization of rate and ratios
    • Schoenbach VJ, Rosamond WD, eds. Chapel Hill, NC: University of North Carolina at Chapel Hill
    • Schoenbach VJ. Standardization of rate and ratios. In: Schoenbach VJ, Rosamond WD, eds. Understanding the Fundamentals of Epidemiology: An Evolving Text. Chapel Hill, NC: University of North Carolina at Chapel Hill; 2000:129-151.
    • (2000) Understanding the Fundamentals of Epidemiology: An Evolving Text , pp. 129-151
    • Schoenbach, V.J.1
  • 23
    • 78449298152 scopus 로고    scopus 로고
    • Characterizing performance profiles of ICUs
    • Moreno RP, Bauer P, Metnitz PG. Characterizing performance profiles of ICUs. Curr Opin Crit Care. 2010;16(5):477-481.
    • (2010) Curr Opin Crit Care , vol.16 , Issue.5 , pp. 477-481
    • Moreno, R.P.1    Bauer, P.2    Metnitz, P.G.3
  • 24
    • 77952954879 scopus 로고    scopus 로고
    • A model for identifying patients who may not need intensive care unit admission
    • Zimmerman JE, Kramer AA. A model for identifying patients who may not need intensive care unit admission. J Crit Care. 2010;25(2):205-213.
    • (2010) J Crit Care , vol.25 , Issue.2 , pp. 205-213
    • Zimmerman, J.E.1    Kramer, A.A.2
  • 27
    • 0028914394 scopus 로고
    • The use of APACHE III to evaluate ICU length of stay, resource use, and mortality after coronary artery by-pass surgery
    • Becker RB, Zimmerman JE, Knaus WA, et al. The use of APACHE III to evaluate ICU length of stay, resource use, and mortality after coronary artery by-pass surgery. J Cardiovasc Surg (Torino). 1995;36(1):1-11.
    • (1995) J Cardiovasc Surg (Torino) , vol.36 , Issue.1 , pp. 1-11
    • Becker, R.B.1    Zimmerman, J.E.2    Knaus, W.A.3
  • 28
    • 77955696252 scopus 로고    scopus 로고
    • Registration trials of antibacterial drugs for the treatment of nosocomial pneumonia
    • Sorbello A, Komo S, Valappil T, Nambiar S. Registration trials of antibacterial drugs for the treatment of nosocomial pneumonia. Clin Infect Dis. 2010;51(suppl 1):S36-S41.
    • (2010) Clin Infect Dis , vol.51 , Issue.SUPPL. 1
    • Sorbello, A.1    Komo, S.2    Valappil, T.3    Nambiar, S.4
  • 29
    • 33745209497 scopus 로고    scopus 로고
    • Value of APACHE II, SOFA and CPIS scores in predicting prognosis in patients with ventilator-associated pneumonia
    • Gursel G, Demirtas S. Value of APACHE II, SOFA and CPIS scores in predicting prognosis in patients with ventilator-associated pneumonia. Respiration. 2006;73(4):503-508.
    • (2006) Respiration , vol.73 , Issue.4 , pp. 503-508
    • Gursel, G.1    Demirtas, S.2
  • 30
    • 77954383975 scopus 로고    scopus 로고
    • Ward mortality after ICU discharge: A multicenter validation of the Sabadell score
    • Sabadell Score Study Group
    • Fernandez R, Serrano JM, Umaran I, et al; Sabadell Score Study Group. Ward mortality after ICU discharge: a multicenter validation of the Sabadell score. Intensive Care Med. 2010;36(7):1196-1201.
    • (2010) Intensive Care Med , vol.36 , Issue.7 , pp. 1196-1201
    • Fernandez, R.1    Serrano, J.M.2    Umaran, I.3
  • 31
    • 44449160571 scopus 로고    scopus 로고
    • The Stability and Workload Index for Transfer score predicts unplanned intensive care unit patient readmission: Initial development and validation
    • Gajic O, Malinchoc M, Comfere TB, et al. The Stability and Workload Index for Transfer score predicts unplanned intensive care unit patient readmission: initial development and validation. Crit Care Med. 2008;36(3):676-682.
    • (2008) Crit Care Med , vol.36 , Issue.3 , pp. 676-682
    • Gajic, O.1    Malinchoc, M.2    Comfere, T.B.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.