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أ.د. زهير بن أحمد العسيري

Professor

أستاذ دكتور واستشاري طب الطوارئ وطب العناية المركزة

كلية الطب
جامعة الملك سعود, المدينة الطبية، مستشفى الملك خالد الجامعي, طب الطوارئ
المنشورات
مقال فى مجلة
2020

The use of the shock index to predict hemodynamic collapse in hypotensive sepsis patients: A cross-sectional analysis

Objectives: Septic shock, defined as sepsis with hypotension not responding to fluid resuscitation or requiring vasopressor support, results in the worst outcomes in sepsis patients. This subtype of the patient is often difficult to detect. The shock index (SI) has demonstrated the potential for predicting hemodynamic compromise and collapse and predicting patient outcomes in multiple medical and surgical settings. In our study, we assessed the utility of the SI as a hemodynamic screening tool to identify patients likely to fail to respond to fluids and ultimately to be diagnosed with septic shock. Methodology: A single-center cross-sectional analysis of patients presenting with hypotension and septicemia over 1 year. The study was conducted using the electronic medical records of the emergency department patients presenting to King Saud University Medical City. The charts were reviewed from 2 May 2015 to 24 April 2016 using the local medical registry. The study was approved by the hospital institutional review board (IRB). Data extraction was performed using a standardized form. Results: The area under the curve was 0.77 (P < 0.001) for the prediction of hemodynamic collapse. An initial SI ≥0.875 had a sensitivity of 81% and a specificity of 72% for the identification of patients in whom fluid resuscitation would fail. Conclusions: Based on our findings, we found that the SI was a reliable screening tool for the identification of hypotensive patients with sepsis who would ultimately be diagnosed with septic shock.
 
 
نوع عمل المنشور
original article
رقم المجلد
14
رقم الانشاء
2
مجلة/صحيفة
Saudi J Anaesth
الصفحات
192-199
مزيد من المنشورات
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تم النشر فى:
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Abstract
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تم النشر فى:
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تم النشر فى:
Computational Intelligence and Neuroscience