Critical Care

, 18:P62 | Cite as

Endpoint resuscitation-based prediction model for early mortality of severe sepsis and septic shock

  • R Sinto
  • S Suwarto
  • R Sedono
  • K Harimurti
  • A Sejati
Open Access
Poster presentation
  • 733 Downloads

Keywords

Prediction Model Independent Predictor Septic Shock Severe Sepsis Organ Dysfunction 

Introduction

There is an unknown role for macrocirculation and microcirculation endpoint resuscitation, which are combined as the component of a prediction model for early mortality of patients with severe sepsis and septic shock [1][2]. The aim of this study is to develop a prediction model for early mortality (first 120 hours after onset [3]) of patients with severe sepsis and septic shock based on macrocirculation and microcirculation endpoint resuscitation.

Methods

A retrospective cohort study was conducted in adult patients with severe sepsis and septic shock hospitalized in the ICU, Cipto Mangunkusumo Hospital, Indonesia. Patients' outcome and time to outcome were observed during the first 120 hours after severe sepsis and/or septic shock onset. Independent predictors for early mortality were identified by Cox's proportional hazard regression analysis and each was quantified to develop an early mortality prediction model. The calibration and discrimination abilities of the model were determined.

Results

Subjects consisted of 268 patients. Early mortality developed in 70 patients. Two independent predictors for early mortality were: lactate clearance <10% (adjusted hazard ratio (HR) 11.81 (95% CI 6.50 to 21.46)) and number of organ dysfunctions (two organs, adjusted HR 1.47 (95% CI 0.58 to 3.72); >2 organs, adjusted HR 3.79 (95% CI 1.65 to 8.69)). A scoring system as the predictive model was performed by assigning 1 point for two organ dysfunctions, 6.5 points for >2 organ dysfunctions, and 12 points for lactate clearance <10%. This scoring system was stratified into two levels: low-risk (score <12, probability for early mortality 7.8%) and high-risk (score ≥12, probability for early mortality 72.3%) groups. The Hosmer-Lemeshow test revealed good precision (P = 0.745) and the area under the receiver operating characteristic curve showed very good discrimination ability (0.91 (95% CI 0.87 to 0.97)).

Conclusion

A prediction model for early mortality of patients with severe sepsis and septic shock can be developed based on two parameters, lactate clearance and number of organ dysfunctions. A model has been developed to predict and classify mortality risk.

References

  1. 1.
    Trzeciak S, et al.: AcadEmerg Med. 2008, 15: 399-413.Google Scholar
  2. 2.
    Rivers EP, et al.: Minerva Anestesiol. 2012, 78: 712-724.PubMedGoogle Scholar
  3. 3.
    Macias WL, et al.: Crit Care Med. 2014, 32(5):s223-s228.Google Scholar

Copyright information

© Sinto et al.; licensee BioMed Central Ltd. 2014

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors and Affiliations

  • R Sinto
    • 1
  • S Suwarto
    • 1
  • R Sedono
    • 1
  • K Harimurti
    • 1
  • A Sejati
    • 1
  1. 1.Faculty of MedicineUniversity of IndonesiaJakartaIndonesia

Personalised recommendations