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Volumn 38, Issue , 2017, Pages 1-5

Combining quick Sequential Organ Failure Assessment with plasma lactate concentration is comparable to standard Sequential Organ Failure Assessment score in predicting mortality of patients with and without suspected infection

Author keywords

Outcome; Prediction; Prognosis; Risk adjustment; Severity of illness

Indexed keywords

LACTIC ACID; BIOLOGICAL MARKER;

EID: 85013644546     PISSN: 08839441     EISSN: 15578615     Source Type: Journal    
DOI: 10.1016/j.jcrc.2016.10.005     Document Type: Article
Times cited : (54)

References (19)
  • 1
    • 68949190805 scopus 로고    scopus 로고
    • The critical care cascade: a systems approach
    • [1] Ghosh, R., Pepe, P., The critical care cascade: a systems approach. Curr Opin Crit Care 15 (2009), 279–283.
    • (2009) Curr Opin Crit Care , vol.15 , pp. 279-283
    • Ghosh, R.1    Pepe, P.2
  • 2
    • 0033600337 scopus 로고    scopus 로고
    • ABC of intensive care: outcome data and scoring systems
    • [2] Gunning, K., Rowan, K., ABC of intensive care: outcome data and scoring systems. BMJ 319 (1999), 241–244.
    • (1999) BMJ , vol.319 , pp. 241-244
    • Gunning, K.1    Rowan, K.2
  • 3
  • 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
    • [5] Moreno, R.P., Metnitz, P.G., Almeida, E., Jordan, B., Bauer, P., Campos, R.A., 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 Med 31 (2005), 1345–1355.
    • (2005) Intensive Care Med , vol.31 , pp. 1345-1355
    • Moreno, R.P.1    Metnitz, P.G.2    Almeida, E.3    Jordan, B.4    Bauer, P.5    Campos, R.A.6
  • 6
    • 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
    • [6] Ho, K.M., Dobb, G.J., Knuiman, M., Finn, J., Lee, K.Y., Webb, S.A., A comparison of admission and worst 24-hour Acute Physiology and Chronic Health Evaluation II scores in predicting hospital mortality: a retrospective cohort study. Crit Care, 10, 2006, R4.
    • (2006) Crit Care , vol.10 , pp. R4
    • Ho, K.M.1    Dobb, G.J.2    Knuiman, M.3    Finn, J.4    Lee, K.Y.5    Webb, S.A.6
  • 7
    • 84864884353 scopus 로고    scopus 로고
    • National Early Warning Score (NEWS): standardising the assessment of acute-illness severity in the NHS. Report of a working party
    • RCP London
    • [7] Royal College of Physicians, National Early Warning Score (NEWS): standardising the assessment of acute-illness severity in the NHS. Report of a working party. 2012, RCP, London.
    • (2012)
    • Royal College of Physicians1
  • 8
    • 84959273475 scopus 로고    scopus 로고
    • The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3)
    • [8] Singer, M., Deutschman, C.S., Seymour, C.W., Shankar-Hari, M., Annane, D., Bauer, M., et al. The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3). JAMA 315 (2016), 801–810.
    • (2016) JAMA , vol.315 , pp. 801-810
    • Singer, M.1    Deutschman, C.S.2    Seymour, C.W.3    Shankar-Hari, M.4    Annane, D.5    Bauer, M.6
  • 9
    • 84959317195 scopus 로고    scopus 로고
    • Assessment of clinical criteria for sepsis: for the Third International Consensus Definitions for Sepsis and Septic Shock (sepsis-3)
    • [9] Seymour, C.W., Liu, V.X., Iwashyna, T.J., Brunkhorst, F.M., Rea, T.D., Scherag, A., et al. Assessment of clinical criteria for sepsis: for the Third International Consensus Definitions for Sepsis and Septic Shock (sepsis-3). JAMA 315 (2016), 762–774.
    • (2016) JAMA , vol.315 , pp. 762-774
    • Seymour, C.W.1    Liu, V.X.2    Iwashyna, T.J.3    Brunkhorst, F.M.4    Rea, T.D.5    Scherag, A.6
  • 10
    • 0030015661 scopus 로고    scopus 로고
    • 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
    • [10] 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. On behalf of the Working Group on Sepsis-Related Problems of the European Society of Intensive Care Medicine. Intensive Care Med 22 (1996), 707–710.
    • (1996) Intensive Care Med , vol.22 , pp. 707-710
    • Vincent, J.L.1    Moreno, R.2    Takala, J.3    Willatts, S.4    De Mendonça, A.5    Bruining, H.6
  • 11
    • 34249932673 scopus 로고    scopus 로고
    • Comparison of Acute Physiology and Chronic Health Evaluation (APACHE) II score with organ failure scores to predict hospital mortality
    • [11] Ho, K.M., Lee, K.Y., Williams, T., Finn, J., Knuiman, M., Webb, S.A., Comparison of Acute Physiology and Chronic Health Evaluation (APACHE) II score with organ failure scores to predict hospital mortality. Anaesthesia 62 (2007), 466–473.
    • (2007) Anaesthesia , vol.62 , pp. 466-473
    • Ho, K.M.1    Lee, K.Y.2    Williams, T.3    Finn, J.4    Knuiman, M.5    Webb, S.A.6
  • 12
    • 34548252376 scopus 로고    scopus 로고
    • Combining sequential organ failure assessment (SOFA) score with Acute Physiology and Chronic Health Evaluation (APACHE) II score to predict hospital mortality of critically ill patients
    • [12] Ho, K.M., Combining sequential organ failure assessment (SOFA) score with Acute Physiology and Chronic Health Evaluation (APACHE) II score to predict hospital mortality of critically ill patients. Anaesth Intensive Care 35 (2007), 515–521.
    • (2007) Anaesth Intensive Care , vol.35 , pp. 515-521
    • Ho, K.M.1
  • 13
    • 84983044310 scopus 로고    scopus 로고
    • Using patient admission characteristics alone to predict mortality of critically ill patients: a comparison of 3 prognostic scores
    • [13] Ho, K.M., Williams, T.A., Harahsheh, Y., Higgins, T.L., Using patient admission characteristics alone to predict mortality of critically ill patients: a comparison of 3 prognostic scores. J Crit Care 31 (2016), 21–25.
    • (2016) J Crit Care , vol.31 , pp. 21-25
    • Ho, K.M.1    Williams, T.A.2    Harahsheh, Y.3    Higgins, T.L.4
  • 14
    • 85006192529 scopus 로고    scopus 로고
    • A comparison of prognostic significance of strong ion gap (SIG) with other acid-base markers in the critically ill: a cohort study
    • [14] Ho, K.M., Lan, N.S., Williams, T.A., Harahsheh, Y., Chapman, A.R., Dobb, G.J., et al. A comparison of prognostic significance of strong ion gap (SIG) with other acid-base markers in the critically ill: a cohort study. J Intensive Care, 4, 2016, 43.
    • (2016) J Intensive Care , vol.4 , pp. 43
    • Ho, K.M.1    Lan, N.S.2    Williams, T.A.3    Harahsheh, Y.4    Chapman, A.R.5    Dobb, G.J.6
  • 15
    • 0020524559 scopus 로고
    • A method of comparing the areas under receiver operating characteristic curves derived from the same cases
    • [15] Hanley, J.A., McNeil, B.J., A method of comparing the areas under receiver operating characteristic curves derived from the same cases. Radiology 148 (1983), 839–843.
    • (1983) Radiology , vol.148 , pp. 839-843
    • Hanley, J.A.1    McNeil, B.J.2
  • 16
    • 0020063002 scopus 로고
    • A review of goodness of fit statistics for use in the development of logistic regression model
    • [16] Lemeshow, S., Hosmer, D.W., A review of goodness of fit statistics for use in the development of logistic regression model. Am J Epidemiol 115 (1982), 92–106.
    • (1982) Am J Epidemiol , vol.115 , pp. 92-106
    • Lemeshow, S.1    Hosmer, D.W.2
  • 17
    • 0028921430 scopus 로고
    • The covariance decomposition of the probability score and its use in evaluating prognostic estimates
    • [17] Arkes, H.R., Dawson, N.V., Speroff, T., Harrell, F.E. Jr., Alzola, C., Phillips, R., et al. The covariance decomposition of the probability score and its use in evaluating prognostic estimates. Med Decis Making 15 (1995), 120–131.
    • (1995) Med Decis Making , vol.15 , pp. 120-131
    • Arkes, H.R.1    Dawson, N.V.2    Speroff, T.3    Harrell, F.E.4    Alzola, C.5    Phillips, R.6
  • 18
    • 84959361605 scopus 로고    scopus 로고
    • The ability of early warning scores (EWS) to detect critical illness in the prehospital setting: a systematic review
    • [18] Williams, T.A., Tohira, H., Finn, J., Perkins, G.D., Ho, K.M., The ability of early warning scores (EWS) to detect critical illness in the prehospital setting: a systematic review. Resuscitation 102 (2016), 35–43.
    • (2016) Resuscitation , vol.102 , pp. 35-43
    • Williams, T.A.1    Tohira, H.2    Finn, J.3    Perkins, G.D.4    Ho, K.M.5
  • 19
    • 84925367859 scopus 로고    scopus 로고
    • Comparing observed and predicted mortality among ICUs using different prognostic systems: why do performance assessments differ?
    • [19] Kramer, A.A., Higgins, T.L., Zimmerman, J.E., Comparing observed and predicted mortality among ICUs using different prognostic systems: why do performance assessments differ?. Crit Care Med 43 (2015), 261–269.
    • (2015) Crit Care Med , vol.43 , pp. 261-269
    • Kramer, A.A.1    Higgins, T.L.2    Zimmerman, J.E.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.