Polygenic Risk Score for Diabetes Predicts Postoperative Acute Kidney Injury
Author Information
Author(s): Leis Aleda, Mathis Michael, Smith Jennifer, Mukherjee Bhramar, Karvonen-Gutierrez Carrie
Primary Institution: University of Michigan
Hypothesis
Can a polygenic risk score for type 2 diabetes predict postoperative acute kidney injury better than phenotypic diabetes status?
Conclusion
The polygenic risk score for diabetes can effectively predict postoperative acute kidney injury, similar to phenotypic diabetes status.
Supporting Evidence
- AKI prevalence was 5.0% among the study participants.
- The odds of AKI were 52% higher in patients with phenotypic T2DM.
- Patients in the highest PRST2DM decile had 43% higher odds of AKI compared to those in the lowest decile.
Takeaway
Researchers found that a genetic score for diabetes can help predict kidney problems after surgery, just like knowing if someone has diabetes.
Methodology
Logistic regression models were used to evaluate the predictive ability of the polygenic risk score and phenotypic diabetes status for acute kidney injury.
Potential Biases
Potential biases may arise from the omission of detailed phenotyping in genetic studies.
Limitations
The study may be limited by the lack of detailed phenotyping and the reliance on existing genetic data.
Participant Demographics
Patients aged 18 years and older who underwent specific types of surgical procedures.
Digital Object Identifier (DOI)
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