Evidence map›Paper›PMID 40751176›Full record

ArticleInternational journal of emergency medicine2025

Epidemiological characteristics of elderly population receiving pre-hospital emergency care after road traffic injuries in Punjab, Pakistan.

Kantesh Kumar, Sheza Hassan, Muhammad Bazil Musharraf, Komal Abdul Rahim, Sijal Akhtar Sheikh, Huba Atiq, Muhammad Waqas Ahmed, Rameez-Ur-Rehman Siddiqui, Rizwan Naseer, Shahnaz Akhter and 2 more

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Article in International journal of emergency medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Kantesh KumarCentre of Excellence for Trauma and Emergencies, The Aga Khan University, Karachi, Sindh, Pakistan.
Sheza HassanDepartment of Emergency Medicine, Weill Cornell Medicine, New York, NY, USA.
Muhammad Bazil MusharrafCentre of Excellence for Trauma and Emergencies, The Aga Khan University, Karachi, Sindh, Pakistan.
Komal Abdul RahimCentre of Excellence for Trauma and Emergencies, The Aga Khan University, Karachi, Sindh, Pakistan.
Sijal Akhtar SheikhCentre of Excellence for Trauma and Emergencies, The Aga Khan University, Karachi, Sindh, Pakistan.
Huba AtiqCentre of Excellence for Trauma and Emergencies, The Aga Khan University, Karachi, Sindh, Pakistan.
Muhammad Waqas AhmedCentre of Excellence for Trauma and Emergencies, The Aga Khan University, Karachi, Sindh, Pakistan.
Rameez-Ur-Rehman SiddiquiCentre of Excellence for Trauma and Emergencies, The Aga Khan University, Karachi, Sindh, Pakistan.
Rizwan NaseerEmergency Services Department, Government of Punjab, Lahore, Pakistan.
Shahnaz AkhterEmergency Services Department, Government of Punjab, Lahore, Pakistan.
Yasir ShafiqCentre of Excellence for Trauma and Emergencies, The Aga Khan University, Karachi, Sindh, Pakistan.
Junaid RazzakCentre of Excellence for Trauma and Emergencies, The Aga Khan University, Karachi, Sindh, Pakistan. Junaid.razzak@aku.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEvery year, 1.3 million lives are lost to road traffic injuries (RTIs). 90% of these deaths disproportionately occur in Lower-Middle Income Countries (LMICs). Due to frailty and reduced physiological resilience, elderly populations are at higher risk of RTIs and poor outcomes, versus younger populations. Further, according to the World Health Organization (WHO), the global elderly population will double by 2050, indicating that this group will be at an even higher risk of RTIS.

objectivesOur study aims to utilize Emergency Medical Services (EMS) data to better understand the trends, types, injuries, patient characteristics, and outcomes of RTIs involving the elderly, ultimately contributing to more targeted and effective road safety policies and interventions.

methodsWe analyzed secondary EMS data during 2022 and 2023 from the Emergency Services Department (Rescue 1122) in the province of Punjab, Pakistan. RTI data in patients aged ≥ 65 years was extracted from the database for age, gender, education, response time, injury type, RTI victim type, location of injury, and victim outcome. Multivariable analysis was carried out using multiple logistic regression to obtain an adjusted odds ratio with a 95% confidence interval for on-scene mortality.

resultsFrom 4.2 million EMS activations, data on 34,345 RTIs in elderly patients was analyzed. Patients had a mean age of 70.12 years, and 77% (26,608) were males. The most common injury type was soft tissue injury (24,166; 70.36%), followed by limb injury (5,126; 14.9%), and head injury (2,590; 7.5%). Most victims suffered injuries as passengers (11,396; 37.2%). The mean response time was 7.19 minutes, and the on-scene mortality rate was 1.3% (443). The odds of on-scene mortality increased with increasing response time (AOR: 1.05, CI: 1.04-1.07), while an increase in the degree of urbanization was associated with decreasing odds of on-scene mortality (AOR: 0.99, CI: 0.98-0.99). Head injuries (OR: 24.49, CI: 20.11-29.93) and pedestrian injuries (Adjusted OR: 1.40, CI: 1.06-1.84) were strongly associated with on-scene mortality.

conclusionOur study revealed that head and pedestrian injuries emerged as key factors for on-scene mortality in elderly patients of Punjab, Pakistan. These findings necessitate targeted interventions to encourage a rapid pre-hospital response to lower on-scene mortality rates.

Identifiers

PMID40751176
PMCPMC12317505

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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.