Shock Indices as Predictors of Outcomes in Emergency Department Patients With Emergency Severity Index Level 3

Among ESI level 3 ED patients, SI ≥1.2 demonstrated strong predictive value for mortality, while ASI ≥36.8 showed moderate predictive value and was additionally associated with longer LOS. These indices, particularly the SI and ASI, may be useful adjuncts to clinical assessment for predicting mortality risk in this patient population.

Authors

Institutions

Publication Details

Journal
Cureus
Published
2025-05-02
DOI
https://doi.org/10.7759/cureus.83379
Primary Topic
Emergency and Acute Care Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Shock Indices as Predictors of Outcomes in Emergency Department Patients With Emergency Severity Index Level 3

Sultan Jebel Usman, Nadeem Ullah Khan, Ahmed Raheem, Mehmood Khan et al.
Cureus
Emergency and Acute Care Studies
article

Shock Indices as Predictors of Outcomes in Emergency Department Patients With Emergency Severity Index Level 3

Sultan Jebel Usman, Nadeem Ullah Khan, Ahmed Raheem, Mehmood Khan, Kamlesh M Bhojwani
article en

Abstract

Among ESI level 3 ED patients, SI ≥1.2 demonstrated strong predictive value for mortality, while ASI ≥36.8 showed moderate predictive value and was additionally associated with longer LOS. These indices, particularly the SI and ASI, may be useful adjuncts to clinical assessment for predicting mortality risk in this patient population.

CureusVol. 17(5)
Aga Khan University (PK), Aga Khan University Hospital (PK), Aga Khan University (TZ)
Openalex Percentile: Top 84%
Emergency and Acute Care Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.