Key result
A preoperative predictive nomogram accurately estimated the risk of cardiac surgery-associated acute kidney injury with a C-Index of 0.796 (95% CI 0.795-0.797).
Why the study?
Cardiac surgery-associated acute kidney injury causes significant morbidity, mortality, and cost, creating a need for a preoperative predictive model for early risk identification and intervention.
Can a preoperative predictive nomogram accurately predict the risk of cardiac surgery-associated acute kidney injury in patients undergoing cardiac surgery?
Population
1900 patients who underwent cardiac surgery
Design
Retrospective cohort study
Authors
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Preoperative CSA-AKI risk model may aid stratification; leaves open prospective validation before practice change.
Cohort (n=1,900)
Can a preoperative predictive nomogram accurately predict the risk of cardiac surgery-associated acute kidney injury in patients undergoing cardiac surgery?
Effect estimate: C-Index 0.796 (95% CI 0.795-0.797)
A novel predictive nomogram based on preoperative clinical features can accurately predict the risk of cardiac surgery-associated acute kidney injury, potentially allowing for earlier intervention.
Chen et al. (2019) conducted a cohort in Cardiac surgery-associated acute kidney injury (CSA-AKI) (n=1,900). Preoperative predictive nomogram was evaluated on Predictive accuracy for cardiac surgery-associated acute kidney injury (C-Index) (C-Index 0.796, 95% CI 0.795-0.797). A preoperative predictive nomogram accurately estimated the risk of cardiac surgery-associated acute kidney injury with a C-Index of 0.796 (95% CI 0.795-0.797).
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