Evidence map›Paper›PMID 40666389›Full record

ArticleJournal of emergencies, trauma, and shock

Association of Presenting Complaint at Triage with 72-h Mortality and Intensive Care Admission.

Niraj Rauniyar, Ankit Kumar Sahu, Bharath Gopinath, Akshay Kumar, Nayer Jamshed, Meera Ekka, Prakash Ranjan Mishra, Sanjeev Bhoi, Tej Prakash Sinha, Gaurav Rajwanshi

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Article in Journal of emergencies, trauma, and shock. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Niraj RauniyarDepartment of Emergency Medicine, All India Institute of Medical Sciences, New Delhi, India.
Ankit Kumar SahuDepartment of Emergency Medicine, All India Institute of Medical Sciences, New Delhi, India.
Bharath GopinathDepartment of Emergency Medicine, All India Institute of Medical Sciences, New Delhi, India.
Akshay KumarDepartment of Emergency Medicine, All India Institute of Medical Sciences, New Delhi, India.
Nayer JamshedDepartment of Emergency Medicine, All India Institute of Medical Sciences, New Delhi, India.
Meera EkkaDepartment of Emergency Medicine, All India Institute of Medical Sciences, New Delhi, India.
Prakash Ranjan MishraDepartment of Emergency Medicine, All India Institute of Medical Sciences, New Delhi, India.
Sanjeev BhoiDepartment of Emergency Medicine, All India Institute of Medical Sciences, New Delhi, India.
Tej Prakash SinhaDepartment of Emergency Medicine, All India Institute of Medical Sciences, New Delhi, India.
Gaurav RajwanshiDepartment of Emergency Medicine, All India Institute of Medical Sciences, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Triage is a critical process in prioritizing patients based on acuity to ensure timely care. Patients arrive at the emergency department (ED) with complaints, not diagnoses. High-risk patients are identified based on history, vital signs, mechanism of injury in trauma, and clinical findings. Chief complaints in the ED may suggest acuity independent of other clinical parameters. The objective of this study was to identify high-risk chief complaints associated with intensive care unit (ICU) admission or mortality within 72 h of ED presentation. We also characterized the chief complaints by frequency and evaluated the accuracy of the All India Institute of Medical Sciences Triage Protocol (ATP) in conjunction with high-risk complaints for predicting mortality. Methods: This prospective observational study was conducted at AIIMS, New Delhi, from March 2021 to October 2023, including 1225 patients. Inclusion criteria covered all patients older than 16 years presenting to the ED, excluding cardiac arrest cases, pregnancy-related complications, and individuals declared dead on arrival. Data were collected using predesigned proformas. Univariate and multivariate logistic regression analyses identified high-risk chief complaints. Results: Of the 1754 patients screened, 1225 were included in the analysis. Thirty-four complaints were identified, with six deemed high risk. Specific complaints such as shortness of breath (odds ratio [OR] 43.691, 95% confidence interval [CI] 20.033-95.291, Conclusion: Our findings highlight specific chief complaints as valuable indicators for the early identification of patients at risk of 72-h mortality or ICU admission in the ED. Early identification of high-risk patients can enhance early resuscitation, timely referral to higher-level care, and improve patient outcomes.

Indexed as

Chief complaintemergency departmenttriage

Identifiers

PMID40666389
PMCPMC12258527

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.