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Biomarkers to Predict Acute Kidney Injury in Patients with Trauma.
In Sik Shin1, Myoung Jun Kim2, Da Kyung Kim3
1Division of Acute Care Surgery, Wonju College of Medicine, Yonsei University, Wonju 26426, Republic of Korea.
Hemoglobin and urinary mitochondrial DNA copy number (mtDNAcn) can predict acute kidney injury (AKI) in trauma patients. Early detection of AKI using these biomarkers may improve patient outcomes.
Area of Science:
- Nephrology
- Trauma Medicine
- Biomarker Discovery
Background:
- Acute kidney injury (AKI) is a frequent complication in trauma patients, leading to increased morbidity and mortality.
- Early identification of patients at risk for AKI is crucial for timely intervention and improved outcomes.
- Urinary mitochondrial DNA copy number (mtDNAcn) is a potential biomarker for AKI, but its role in trauma patients is understudied.
Purpose of the Study:
- To evaluate the utility of urinary mitochondrial DNA copy number (mtDNAcn) as an early predictor of acute kidney injury (AKI) in trauma patients.
- To assess the association between baseline hemoglobin (Hb) levels and the development of AKI in this cohort.
Main Methods:
- A prospective observational study involving 65 trauma patients.
- Collection of serum and urine samples at baseline and at 24, 48, and 72 hours post-admission.
- Measurement of urinary and serum mtDNAcn using real-time polymerase chain reaction (PCR) and recording of clinical variables including Hb levels.
Main Results:
- 25 (38.5%) patients developed AKI.
- Patients with AKI had significantly lower Hb levels and higher urinary mtDNAcn at admission.
- Multivariate analysis identified low Hb and elevated urinary mtDNAcn as independent predictors of AKI, with optimal cutoffs of 10.95 g/dL for Hb and 738.0 copies/μL for urinary mtDNAcn.
Conclusions:
- Hemoglobin (Hb) and urinary mitochondrial DNA copy number (mtDNAcn) are independent biomarkers for early AKI detection in trauma patients.
- These findings suggest potential for improved AKI risk stratification in trauma populations.
- Further multicenter studies are needed to validate these biomarkers and establish optimal targets.
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