Actively Recruiting

Age: 18Years +
All Genders
ID06705959

Can NISS or ISS Better Predict Mortality in Blunt Trauma Patients? A Prospective Study

Led by Al-Nahrain University · Updated on 2025-04-27

200

Participants Needed

1

Research Sites

2 weeks

Total Duration

On this page

AI-Summary

What this Trial Is About

Researchers are evaluating two scoring systems, the New Injury Severity Score (NISS) and the Injury Severity Score (ISS), to predict mortality outcomes in trauma patients admitted to emergency rooms in Iraq. Trauma is a leading cause of death worldwide, especially under age 40, and these tools help assess injury severity and guide care. This study focuses on comparing how well NISS and ISS predict mortality, particularly in an Iraqi population where trauma patterns may differ from other regions. Participants are trauma patients admitted to the emergency room within 6 hours of injury. Both NISS and ISS scores will be calculated using injury data collected upon admission. The study observes patients throughout their hospital stay, averaging about 7 days, to track outcomes such as mortality, length of hospitalization, and need for intensive care. The study is observational, with no experimental treatments or interventions. During the study, patients will be assessed using both scoring systems shortly after arrival, and their clinical progress will be monitored until discharge. Researchers collect detailed injury information to calculate scores and record outcomes including whether the patient survives, how long they stay in the hospital, and if intensive care is required. This information helps determine which scoring method better predicts mortality. Participation involves standard medical care and data collection, with follow-up lasting until hospital discharge.

CONDITIONS

Brief Title

Comparing NISS and ISS for Mortality Prediction in Trauma Patients

Who Can Participate

Age: 18Years +
All Genders

Eligibility Criteria

Eligible

You may qualify if you...

  • Trauma patients admitted to the emergency room (ER).
  • Patients with documented injury data sufficient for calculating both the NISS and ISS.
  • Patients admitted to the ER within 6 hours of injury.
  • Patients providing informed consent (or consent from a legal guardian if incapacitated).
Not Eligible

You will not qualify if you...

  • Patients under 18 years of age.
  • Trauma cases involving burns as the primary injury.
  • Patients with incomplete medical records or insufficient data to calculate NISS and ISS.
  • Patients with pre-existing terminal conditions unrelated to trauma.
  • Patients who died on arrival or before NISS/ISS assessment.
  • Pregnant patients if the primary focus is maternal-fetal outcomes.

AI-Screening

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Your Study Journey

Screening

Duration - 2 to 4 weeks

Participants are screened for eligibility to participate in the trial.

Diagnostic Evaluation

Duration - First 6 hours after ER admission

Participants undergo assessment of injury severity using the NISS and ISS scoring systems within the first 6 hours after emergency room admission.

1 visit (in-person)

Monitoring

Duration - Up to discharge, averaging 7 days

Participants are monitored in the hospital for outcomes including mortality, length of hospitalization, and ICU admission.

Daily hospital monitoring visits

Trial Site Locations

Total: 1 location

1

College of Medicine - Al-Nahrain University

Baghdad, Iraq

Actively Recruiting

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Research Team

A

Abdulillah R. Khamees

How is the study designed?

Study Type

OBSERVATIONAL

Masking

N/A

Allocation

N/A

Model

N/A

Primary Purpose

N/A

Number of Arms

0

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Published Research Related To This Trial

Comparison of the Ability to Predict Mortality between the Injury Severity Score and the New Injury Severity Score: A Meta-Analysis.

Qiangyu Deng, Bihan Tang, Chen Xue...

https://pubmed.ncbi.nlm.nih.gov/27537902

Performance of severity indices for admission and mortality of trauma patients in the intensive care unit: a retrospective cohort study.

Tatiane Gonçalves Gomes de Novais do Rio, Lilia de Souza Nogueira, Fernanda Rodrigues Lima...

https://pubmed.ncbi.nlm.nih.gov/38049903