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Objective Nociceptive Assessment in Ventilated ICU Patients: A Feasibility Study Using Pupillometry and the Nociceptive Flexion Reflex
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Predictors of Mortality in Medical ICU Patients: A Retrospective Study in a Tertiary Care Center in Jordan

Tarek Gharibeh1,2, Munir Abu-Helalah2,3, Hussam Alshraideh4,5

  • 1Department of Internal Medicine, Faculty of Medicine, University of Jordan, Amman 11942, Jordan.

Journal of Clinical Medicine
|June 26, 2025
PubMed

Insights

This study identified key predictors of intensive care unit (ICU) mortality, including delayed admission and specific clinical factors. Understanding these ICU mortality predictors can improve patient outcomes.

Area of Science:

  • Critical Care Medicine
  • Clinical Epidemiology

Background:

  • Intensive Care Unit (ICU) mortality rates are a critical measure of healthcare quality.
  • Identifying predictors of ICU mortality is essential for improving patient outcomes and resource allocation.

Purpose of the Study:

  • To investigate ICU mortality rates and identify clinical and demographic predictors.
  • To analyze the influence of factors like age, comorbidities, lab values, and initial scores on patient outcomes.

Main Methods:

  • Retrospective observational cross-sectional study of 1323 patients admitted to Jordan University Hospital ICU (Jan 2022 - Dec 2023).
  • Data collected included demographics, comorbidities, laboratory values, intubation status, Glasgow Coma Scale (GCS), and APACHE II scores.

Main Results:

  • Overall ICU mortality was 34%. Delayed ICU admission (≥6h) affected 77% of patients.
  • Lower mortality was seen in patients admitted via the Emergency Department (ED) compared to ward transfers (32% vs 41%).
  • Predictors of higher mortality included vasopressor use, ED intubation, lower hemoglobin, higher APACHE II scores, pneumonia, and urosepsis.

Conclusions:

  • This study identified significant predictors of mortality in a tertiary hospital medical ICU in Jordan.
  • Early identification of high-risk patients based on these factors may guide timely interventions.

Keywords:
ICUmortalitypredictors

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