996: A COMPARISON OF APACHE II AND APACHE III SCORES IN PREDICTING MORTALITY OF PATIENTS WITH SEPSIS

F Sadaka, M Cytron, K Fowler, V Javaux… - Critical Care …, 2014 - journals.lww.com
Methods: We retrospectively identified all septic patients admitted to our 54 bed medical-
surgical ICU between 06/2009 and 2/2014 using the APACHE Outcomes database. We …

[HTML][HTML] Predicting mortality of patients with sepsis: a comparison of APACHE II and APACHE III scoring systems

F Sadaka, C EthmaneAbouElMaali… - Journal of clinical …, 2017 - ncbi.nlm.nih.gov
Background Acute Physiology, Age and Chronic Health Evaluation (APACHE) II and III
scores were developed in 1985 and 1991, respectively, and are used mainly for critically ill …

Development and validation of a model that uses enhanced administrative data to predict mortality in patients with sepsis

T Lagu, PK Lindenauer, MB Rothberg… - Critical care …, 2011 - journals.lww.com
Objective: We aimed to determine whether a sepsis risk-adjustment model that uses only
administrative data could be used when other intensive care unit risk-adjustment methods …

Comparison of APACHE II and APACHE IV score as predictors of mortality in patients with septic shock in intensive care unit: A prospective observational study

SD Bloria, R Chauhan, R Sarna… - Journal of …, 2023 - journals.lww.com
Results: Out of the 128 patients, 63 patients (49.21%) died. The mean (±standard deviation)
admission APACHE II score was 16.7±5.53, while the mean APACHE IV score was …

Development and validation of a score to predict mortality in ICU patients with sepsis: a multicenter retrospective study

J Weng, R Hou, X Zhou, Z Xu, Z Zhou, P Wang… - Journal of translational …, 2021 - Springer
Background Early and accurate identification of septic patients at high risk for ICU mortality
can help clinicians make optimal clinical decisions and improve the patients' outcomes. This …

A comparative analysis of sepsis identification methods in an electronic database

AEW Johnson, J Aboab, JD Raffa, TJ Pollard… - Critical care …, 2018 - journals.lww.com
Objectives: To evaluate the relative validity of criteria for the identification of sepsis in an ICU
database. Design: Retrospective cohort study of adult ICU admissions from 2008 to 2012 …

Comparison of sepsis definitions as automated criteria

CY Sean, KD Betthauser, A Gupta, PG Lyons… - Critical care …, 2021 - journals.lww.com
OBJECTIVES: Assess the impact of heterogeneity among established sepsis criteria (Sepsis-
1, Sepsis-3, Centers for Disease Control and Prevention Adult Sepsis Event, and Centers for …

Comparison of the predictive value of the Oxford acute severity of illness score and simplified acute physiology score II for in-hospital mortality in intensive care unit …

C Luo, H Gu, Y Jin, B Liu - Zhonghua wei zhong bing ji jiu yi xue, 2022 - europepmc.org
Objective To compare the predictive value of Oxford acute severity of illness score (OASIS)
and simplified acute physiology score II (SAPS II) for in-hospital mortality in intensive care …

[PDF][PDF] Patterns and complications of sepsis in critically ill patients and the role of APACHE IV score in predicting mortality

S Sreedharan, B Faizal, R Manohar… - Amrita Journal of …, 2012 - researchgate.net
Methods: Seventy six patients admitted to Medical Intensive care Units with features of
sepsis who satisfied the criteria were selected for the study. Data on clinical and biochemical …

Comparison of four scoring systems for predicting ICU mortality in patients with sepsis

C Hu, B Hu, Z Li, X Yang, H Song, J Li - Nan fang yi ke da xue xue …, 2020 - europepmc.org
Objective To evaluate the value of Sequential Organ Failure Assessment (SOFA), Simplified
Acute Physiology Score Ⅱ (SAPS-Ⅱ), Oxford Acute Severity of Illness Score (OASIS) and …