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Volumn 10, Issue 6, 1998, Pages 491-501

Laboratory values improve predictions of hospital mortality

Author keywords

Clinical outcomes; Hospital mortality; Laboratory data; Predictive power; Quality measurement; Risk adjustment

Indexed keywords

ACUTE HEART INFARCTION; CALCULATION; COMORBIDITY; CONGESTIVE HEART FAILURE; DATA ANALYSIS; HEALTH CARE ORGANIZATION; HOSPITAL CARE; MORTALITY; PNEUMONIA; PREDICTION; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; REVIEW; TREATMENT OUTCOME;

EID: 0032414387     PISSN: 13534505     EISSN: None     Source Type: Journal    
DOI: 10.1093/intqhc/10.6.491     Document Type: Review
Times cited : (39)

References (27)
  • 1
    • 0038856644 scopus 로고    scopus 로고
    • Chicago: Joint Commission on Accreditation of Healthcare Organizations
    • Joint Commission on Accreditation of Healthcare Organizations, ORYX: The Next Evolution in Accreditation. Chicago: Joint Commission on Accreditation of Healthcare Organizations, 1997: PM1-PM39.
    • (1997) ORYX: The next Evolution in Accreditation
  • 2
    • 0031963502 scopus 로고    scopus 로고
    • Predictive clinical factors of in-hospital mortality in 231 consecutive patients with cardioembolic cerebral infarction
    • Arboix A, Garcia-Eroles L, Massons J, Oliveres M. Predictive clinical factors of in-hospital mortality in 231 consecutive patients with cardioembolic cerebral infarction. Cerebrovas Dis 1998; 8: 8-13.
    • (1998) Cerebrovas Dis , vol.8 , pp. 8-13
    • Arboix, A.1    Garcia-Eroles, L.2    Massons, J.3    Oliveres, M.4
  • 3
    • 0031781591 scopus 로고    scopus 로고
    • Prediction of mortality in febrile medical patients: How useful are systemic inflammatory response syndrome and sepsis criteria?
    • Bossink AW, Groenveld J, Hack CE, Thijs LG. Prediction of mortality in febrile medical patients: how useful are systemic inflammatory response syndrome and sepsis criteria? Chest 1998; 113: 1533-1541.
    • (1998) Chest , vol.113 , pp. 1533-1541
    • Bossink, A.W.1    Groenveld, J.2    Hack, C.E.3    Thijs, L.G.4
  • 4
    • 0027133523 scopus 로고
    • Risk adjustment in outcome assessment: The Charlson comorbidity index
    • D'Hoore W, Sicotte C, Tilquin C. Risk adjustment in outcome assessment: the Charlson comorbidity index. Methods Inf Med 1993; 32: 382-387.
    • (1993) Methods Inf Med , vol.32 , pp. 382-387
    • D'Hoore, W.1    Sicotte, C.2    Tilquin, C.3
  • 5
    • 0029303291 scopus 로고
    • Multivariate prediction of in-hospital mortality associated with surgical procedures
    • De Ritis G, Giovannini C, Picardo S, Pietropaoli P. Multivariate prediction of in-hospital mortality associated with surgical procedures. Minerva Anestesiol 1995; 61: 173-181.
    • (1995) Minerva Anestesiol , vol.61 , pp. 173-181
    • De Ritis, G.1    Giovannini, C.2    Picardo, S.3    Pietropaoli, P.4
  • 6
    • 0032011378 scopus 로고    scopus 로고
    • Time series monitors of outcomes. A new dimension for measuring quality of care
    • Marshall G, Shroyer AL, Grover FL, Hammermeister KE. Time series monitors of outcomes. A new dimension for measuring quality of care. Med Care 1998; 36: 348-356.
    • (1998) Med Care , vol.36 , pp. 348-356
    • Marshall, G.1    Shroyer, A.L.2    Grover, F.L.3    Hammermeister, K.E.4
  • 7
    • 0031964946 scopus 로고    scopus 로고
    • Evaluation of two outcome prediction models on an independent database
    • Moreno R, Miranda DR, Fidler V, van Schlifgaarde R. Evaluation of two outcome prediction models on an independent database. Crit Cart Med 1998; 26: 50-61.
    • (1998) Crit Cart Med , vol.26 , pp. 50-61
    • Moreno, R.1    Miranda, D.R.2    Fidler, V.3    Van Schlifgaarde, R.4
  • 8
    • 0030727855 scopus 로고    scopus 로고
    • Assessing the outcomes of coronary artery bypass graft surgery: How many risk factors are enough? Steering Committee of the Cardiac Care Network of Ontario
    • Tu JV, Sykora K, Naylor CD. Assessing the outcomes of coronary artery bypass graft surgery: how many risk factors are enough? Steering Committee of the Cardiac Care Network of Ontario. J Am Coll Cardiol 1997; 30: 1317-1323.
    • (1997) J Am Coll Cardiol , vol.30 , pp. 1317-1323
    • Tu, J.V.1    Sykora, K.2    Naylor, C.D.3
  • 9
    • 0027741083 scopus 로고
    • Discordance of databases designed for claims payment versus clinical information systems: Implications for outcomes research
    • Jollis JG, Ancukiewicz M, DeLong ER et al. Discordance of databases designed for claims payment versus clinical information systems: implications for outcomes research. Ann Intern Med 1993; 119: 844-850.
    • (1993) Ann Intern Med , vol.119 , pp. 844-850
    • Jollis, J.G.1    Ancukiewicz, M.2    DeLong, E.R.3
  • 10
    • 0027745581 scopus 로고
    • Looking for answers in all the wrong places
    • Dans PE. Looking for answers in all the wrong places. Ann Intern Med 1993; 119: 855-857.
    • (1993) Ann Intern Med , vol.119 , pp. 855-857
    • Dans, P.E.1
  • 13
    • 0026262309 scopus 로고
    • Using clinical variables to estimate the risk of patient mortality
    • Smith DW, Pine M, Bailey RC et al. Using clinical variables to estimate the risk of patient mortality. Med Care 1991; 29: 1108-1129.
    • (1991) Med Care , vol.29 , pp. 1108-1129
    • Smith, D.W.1    Pine, M.2    Bailey, R.C.3
  • 14
    • 0028826024 scopus 로고
    • Predicting who dies depends on how severity is measured: Implications for evaluating patient outcomes
    • Iezzoni LI, Ash AA, Schwartz M et al. Predicting who dies depends on how severity is measured: implications for evaluating patient outcomes. Ann Intern Med 1995; 123: 763-770.
    • (1995) Ann Intern Med , vol.123 , pp. 763-770
    • Iezzoni, L.I.1    Ash, A.A.2    Schwartz, M.3
  • 15
    • 0031058361 scopus 로고    scopus 로고
    • Predictions of hospital mortality rates: A comparison of data sources
    • Pine M, Norusis M, Jones B, Rosenthal GE. Predictions of hospital mortality rates: a comparison of data sources. Ann Intern Med 1997; 126: 347-354.
    • (1997) Ann Intern Med , vol.126 , pp. 347-354
    • Pine, M.1    Norusis, M.2    Jones, B.3    Rosenthal, G.E.4
  • 16
    • 77957206707 scopus 로고
    • Acquired conditions: An improvement to hospital discharge abstracts
    • Naessens JM, Brennan MD, Boberg CJ et al. Acquired conditions: an improvement to hospital discharge abstracts. Qual Assur in Health Care 1991; 3: 257-262.
    • (1991) Qual Assur in Health Care , vol.3 , pp. 257-262
    • Naessens, J.M.1    Brennan, M.D.2    Boberg, C.J.3
  • 17
    • 0026930181 scopus 로고
    • Clinical versus administrative data bases for CABG surgery: Does it matter?
    • Hannan EL, Kilburn Jr H, Lindsey M, Lewis R. Clinical versus administrative data bases for CABG surgery: does it matter? Med Care 1992; 30: 892-907.
    • (1992) Med Care , vol.30 , pp. 892-907
    • Hannan, E.L.1    Kilburn Jr., H.2    Lindsey, M.3    Lewis, R.4
  • 18
    • 0001741987 scopus 로고
    • Cary, NC: SAS Institute, Inc.
    • SAS Institute, Inc., SAS/STAT® User's Guide, Version 6, Fourth Edition, Volume 2. Cary, NC: SAS Institute, Inc., 1989: pp. 1071-1126.
    • (1989) SAS/STAT® User's Guide, Version 6, Fourth Edition , vol.2 , pp. 1071-1126
  • 19
    • 0020083498 scopus 로고
    • The meaning and use of the area under a receiver operating characteristic (ROC) curve
    • Hanley JA, McNeil B. The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology 1982; 143: 29-36.
    • (1982) Radiology , vol.143 , pp. 29-36
    • Hanley, J.A.1    McNeil, B.2
  • 20
    • 0020063002 scopus 로고
    • A review of goodness-of-fit statistics for use in the development of logistic regression models
    • Lemeshow S, Hosmer DW. A review of goodness-of-fit statistics for use in the development of logistic regression models. Am J Epidemiol 1982; 115: 92-106.
    • (1982) Am J Epidemiol , vol.115 , pp. 92-106
    • Lemeshow, S.1    Hosmer, D.W.2
  • 21
    • 0020524559 scopus 로고
    • A method of comparing the areas under receiver operating characteristic curves derived from the same cases
    • Hanky JA, McNeil B. A method of comparing the areas under receiver operating characteristic curves derived from the same cases. Radiology 1983; 148: 839-843.
    • (1983) Radiology , vol.148 , pp. 839-843
    • Hanky, J.A.1    McNeil, B.2
  • 22
    • 0004216962 scopus 로고
    • Boston, MA: Brown and Company
    • Colton T. Statistics in Medicine. Boston, MA: Brown and Company, 1974: pp. 207-214.
    • (1974) Statistics in Medicine , pp. 207-214
    • Colton, T.1
  • 23
    • 0025483828 scopus 로고
    • Predicting in-hospital survival of myocardial infarction: A comparative study of various severity measures
    • Alemi F, Rice J, Hankins R. Predicting in-hospital survival of myocardial infarction: a comparative study of various severity measures. Med Care 1990; 28: 762-775.
    • (1990) Med Care , vol.28 , pp. 762-775
    • Alemi, F.1    Rice, J.2    Hankins, R.3
  • 24
    • 0027161309 scopus 로고
    • Predicted probabilities of hospital death as a measure of admission severity of illness
    • Steen PM, Brewster AC, Bradbury RC et al. Predicted probabilities of hospital death as a measure of admission severity of illness. Inquiry 1993; 30: 128-141.
    • (1993) Inquiry , vol.30 , pp. 128-141
    • Steen, P.M.1    Brewster, A.C.2    Bradbury, R.C.3
  • 25
    • 0026669018 scopus 로고
    • Evaluation of the HCFA model for the analysis of mortality following hospitalization
    • Krakauer H, Bailey RC, Skellan KJ et al. Evaluation of the HCFA model for the analysis of mortality following hospitalization. Health Serv Res 1992; 27: 317-335.
    • (1992) Health Serv Res , vol.27 , pp. 317-335
    • Krakauer, H.1    Bailey, R.C.2    Skellan, K.J.3
  • 26
    • 0028343646 scopus 로고
    • Case-mix adjustment using objective measures of severity: The case for laboratory data
    • Mozes B, Easterling MJ, Sheiner LB et al. Case-mix adjustment using objective measures of severity: the case for laboratory data. Health Serv Res 1994; 28: 691-712.
    • (1994) Health Serv Res , vol.28 , pp. 691-712
    • Mozes, B.1    Easterling, M.J.2    Sheiner, L.B.3
  • 27
    • 0025542168 scopus 로고
    • Coronary morphologic and clinical determinants of procedural outcome with angioplasty for multivessel coronary disease
    • Ellis SG, Vandormael MG, Cowley MJ et al. Coronary morphologic and clinical determinants of procedural outcome with angioplasty for multivessel coronary disease. Circulation 1990; 82: 1193-1202.
    • (1990) Circulation , vol.82 , pp. 1193-1202
    • Ellis, S.G.1    Vandormael, M.G.2    Cowley, M.J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.