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Lipid Profile as a Predictive Marker for Organ Dysfunction after Thoracoabdominal Surgery: A Cross-sectional Study
Sarvin Sanaie1, Sanam Dolati2, Majid Montazer3
1Research Center for Integrative Medicine in Aging, Aging Research Institute, Tabriz University of Medical Sciences, Tabriz, Iran.
High total cholesterol (TC) levels after surgery increase mortality and organ dysfunction risk. Conversely, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and triglycerides (TG) show protective effects, improving patient outcomes.
Area of Science:
- Biochemistry
- Clinical Medicine
- Surgical Outcomes
Background:
- Plasma total cholesterol (TC) is a negative acute phase reactant.
- Serum cholesterol levels often decrease in pathological conditions like trauma, sepsis, burns, liver dysfunction, and post-surgery.
- Investigating lipid profiles' role in predicting post-surgical organ dysfunction is crucial.
Purpose of the Study:
- To explore the association between lipid profiles and organ dysfunction following thoracoabdominal surgery.
- To determine if lipid markers can predict patient outcomes, including mortality and length of stay.
Main Methods:
- A cross-sectional study of patients admitted to the ICU post-thoracoabdominal surgery.
- Measurement of serum total cholesterol (TC), LDL-C, HDL-C, triglycerides (TG), and albumin.
- Logistic regression analysis to evaluate the relationship between lipid markers and organ dysfunction, mortality, and clinical outcomes.
Main Results:
- Elevated serum TC significantly increased the risk of mortality, renal, liver, and respiratory dysfunction.
- Lower levels of LDL-C, HDL-C, and TG were associated with adverse outcomes.
- Lipid profiles were linked to length of stay, mechanical ventilation duration, and vasopressor use.
Conclusions:
- Serum TC is a risk factor for post-surgical mortality and organ dysfunction.
- LDL-C, HDL-C, and TG demonstrate a protective role against adverse outcomes.
- Lipid profiles are valuable indicators for assessing patient prognosis after surgery.
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