Background: Sepsis is a life-threatening condition that arises when the body’s response to infection spirals out of control, leading to organ dysfunction and, in many cases, death. This study was conducted to assess predictors of admission, outcomes, survival, and mortality among intensive care unit sepsis patients in a tertiary care hospital.

Method: This study was conducted in a retrospective study design. Patients who were admitted to the intensive care unit at a main tertiary care hospital in the West Bank of Palestine in the period between 2018 to 2023 were included. Data relevant to the demographics, admission, clinical, laboratory findings, survival, and mortality were collected from the electronic health record system using a standardized data collection form.      

Results: A total of 326 patients were included in this study. Of those, 135 patients (41.41%) died.

It was discovered that these patients' mortality was not significantly influenced by their demographics. Many clinical variables, however, were significantly associated with death, indicating their potential as predictors of sepsis outcomes. These variables included systolic blood pressure, heart rate, Glasgow Coma Scale, HCO3, PH, total serum bilirubin, serum sodium, albumin, serum lactate, and systemic inflammatory response syndrome. Furthermore, there was a strong correlation between death and the presence of cancer in sepsis patients. Predictive measures such as APACHE II, SOFA, and SAPS II were highly effective in predicting death in patients with sepsis.

Conclusion: Among sepsis patients, age and gender were not significant predictors of admission to the medical ICU. Yet, several parameters showed promise as predictors of ICU admission in sepsis cases, including systolic blood pressure, heart rate, Glasgow Coma Scale, HCO3, pH, total serum bilirubin, serum sodium, albumin, serum lactate, and systemic inflammatory response syndrome. Furthermore, there was a correlation between having cancer and a higher risk of sepsis.

Keywords: sepsis, medical intensive care unit, modified early warning signs, APACHE II, SOFA, SAPS II, predicting in-hospital

العنوان

Aidah Alkaissi

الناشر

Public Library of Science (PLoS)

بلد الناشر

الولايات المتحدة الأمريكية

Indexing

Scopus

معامل التأثير

2,5

نوع المنشور

إلكتروني فقط

المجلد

--

السنة

2025

الصفحات

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