Why the study?
Acute kidney injury complicates 15 to 35% of acute coronary syndrome cases, making risk factors and biomarkers needed for predictive and early diagnosis.
Can biomarkers like sST2 and clinical risk scores predict the development of acute kidney injury in patients with acute coronary syndrome?
Population
132 patients hospitalized with a diagnosis of ACS
Comparison
Confirmed ACS vs excluded ACS
Design
Observational cohort study
Follow-up
2 days after admission
Key result
A modified Mehran score incorporating sST2 > 27.2 ng/ml demonstrated high predictive ability for acute kidney injury in patients with acute coronary syndrome (AUC=0.928, p=0.001).
Authors
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Hypothesis-generating for AKI biomarkers in ACS; requires prospective validation before clinical adoption.
Observational (n=132)
No
Can biomarkers like sST2 and clinical risk scores predict the development of acute kidney injury in patients with acute coronary syndrome?
Effect estimate: AUC 0.928
p-value: p=0.001
Combining the Mehran score with sST2 levels significantly improves the predictive diagnosis of acute kidney injury in patients with acute coronary syndrome.
Vorobyev et al. (2020) conducted an observational in Acute coronary syndrome and acute kidney injury (n=132). Modified Mehran score (Mehran score + sST2 level) was evaluated on Predictive diagnosis of acute kidney injury (AKI) (AUC 0.928, p=0.001). A modified Mehran score incorporating sST2 > 27.2 ng/ml demonstrated high predictive ability for acute kidney injury in patients with acute coronary syndrome (AUC=0.928, p=0.001).