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Published on: December 10, 2020
Intensive care after vascular surgery: systematic review.
Kitty H F Wong1, Alex K Murigu1, Gianluca Buongiovanni2
1Department of Vascular Surgery, Bristol Medical School, University of Bristol, Bristol, UK.
Intensive care unit (ICU) admission after vascular surgery did not show clear clinical benefits and was linked to higher mortality and costs. Further research is needed to understand these outcomes and improve patient stratification.
Area of Science:
- Cardiovascular Surgery
- Critical Care Medicine
- Health Services Research
Background:
- The optimal utilization of intensive care unit (ICU) resources for patients undergoing vascular surgery remains an area of uncertainty.
- Evaluating the impact of ICU admission on clinical outcomes and associated costs is crucial for informed decision-making.
Purpose of the Study:
- To systematically review and evaluate the impact of intensive care unit (ICU) admission on clinical outcomes and costs following elective and emergency vascular surgery.
Main Methods:
- A comprehensive literature search was conducted across major databases including MEDLINE, Embase, and the Cochrane Library in July 2024.
- Included studies compared intensive care unit (ICU) care with intermediary or ward-based care for patients undergoing major vascular surgery.
Main Results:
- Thirteen studies involving 157,932 patients were analyzed. ICU admission was associated with significantly higher adjusted 30-day or in-hospital mortality (OR 4.14).
- Unadjusted analyses indicated increased risks of major adverse cardiovascular events, acute kidney injury, need for dialysis, readmission, and major bleeding in patients admitted to ICU.
- Higher rates of respiratory failure requiring mechanical ventilation and infection were observed in the ICU group, alongside increased hospital-associated costs.
Conclusions:
- No definitive clinical benefit was identified for intensive care unit (ICU) admission post-vascular surgery.
- Potential reasons for the observed outcomes include residual confounding factors and inadequate risk stratification in patient selection.
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