Literature DB >> 26022940

Predictive scoring systems in multiorgan failure: A cohort study.

M Sánchez-Casado1, V A Hostigüela-Martín2, A Raigal-Caño3, L Labajo4, V Gómez-Tello5, G Alonso-Gómez3, F M Aguilera-Cerna3.   

Abstract

OBJECTIVE: An evaluation is made of the hospital mortality predicting capacity of the main predictive scoring systems.
DESIGN: A 2-year retrospective cohort study was carried out.
SETTING: A third level ICU with surgical and medical patients. PATIENTS: All patients with multiorgan failure during the first day in the ICU. MAIN VARIABLES: APACHE II and IV, SAPS II and III, MPM II and hospital mortality.
RESULTS: A total of 568 patients were included. Mortality rate: 39.8% (226 patients). Discrimination (area under the ROC curve; 95% CI): APACHE IV (0.805; 0.751-0.858), SAPS II (0.755; 0.697-0.814), MPM II (0.748; 0.688-0.809), SAPS III (0.737; 0.675-0.799) and APACHE II (0.699; 0.633-0.765). MPM II showed the best calibration, followed by SAPS III. APACHE II, SAPS II and APACHE IV showed very poor calibration. Standard mortality ratio (95% CI): APACHE IV 1.9 (1.78-2.02); APACHE II 1.1 (1.07-1.13); SAPS III 1.1 (1.06-1.14); SAPS II 1.03 (1.01-1.05); MPM 0.9 (0.86-0.94).
CONCLUSIONS: APACHE IV showed the best discrimination, with poor calibration. MPM II showed good discrimination and the best calibration. SAPS II, in turn, showed the second best discrimination, with poor calibration. The APACHE II calibration and discrimination values currently disadvise its use. SAPS III showed good calibration with modest discrimination. Future studies at regional or national level and in certain critically ill populations are needed.
Copyright © 2015 Elsevier España, S.L.U. and SEMICYUC. All rights reserved.

Entities:  

Keywords:  APACHE; Disfunción multiorgánica; Escalas pronósticas; Hospital mortality; ICU; MPM; Mortalidad hospitalaria; Multi-organ failure; Predictive scoring systems; SAPS; UCI

Mesh:

Year:  2015        PMID: 26022940     DOI: 10.1016/j.medin.2015.03.005

Source DB:  PubMed          Journal:  Med Intensiva        ISSN: 0210-5691            Impact factor:   2.491


  3 in total

1.  Inter-Rater Reliability and Impact of Disagreements on Acute Physiology and Chronic Health Evaluation IV Mortality Predictions.

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Journal:  Crit Care Explor       Date:  2019-10-30

2.  Association between the Predicted Value of APACHE IV Scores and Intensive Care Unit Mortality: A Secondary Analysis Based on EICU Dataset.

Authors:  Yuan Xu; Sheng Chao; Yulin Niu
Journal:  Comput Math Methods Med       Date:  2022-04-06       Impact factor: 2.238

3.  Hyperlactatemia and the Importance of Repeated Lactate Measurements in Critically Ill Patients.

Authors:  Amina Godinjak; Selma Jusufovic; Admir Rama; Amer Iglica; Faris Zvizdic; Adis Kukuljac; Ira Tancica; Sejla Rozajac
Journal:  Med Arch       Date:  2017-12
  3 in total

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