Nomogram analysis of factors associated with prognosis in patients with sepsis-associated acute kidney injury: a case-control study based on LASSO regression - Summary - MDSpire
Advertisement
Nomogram analysis of factors associated with prognosis in patients with sepsis-associated acute kidney injury: a case-control study based on LASSO regression
To develop and validate a nomogram model for predicting prognosis in patients with sepsis-associated acute kidney injury (SA-AKI) based on clinically accessible indicators.
Key Findings:
Nomogram model achieved an AUC of 0.92 (95% CI: X.XX–X.XX) in the training set and 0.85 (95% CI: X.XX–X.XX) in the validation set.
Sensitivity and specificity in the training set were 0.82 (95% CI: X.XX–X.XX) and 0.90 (95% CI: X.XX–X.XX), respectively; in the validation set, they were 0.90 (95% CI: X.XX–X.XX) and 0.66 (95% CI: X.XX–X.XX).
Interpretation:
The nomogram model demonstrates good discrimination, calibration, and clinical utility for predicting prognosis in SA-AKI patients, which can aid in clinical decision-making.
Limitations:
The study is retrospective and may be subject to selection bias.
External validation was limited to one additional center.
Conclusion:
The nomogram model based on age, SOFA score, creatinine, and serum potassium may serve as a valuable tool for early identification of high-risk SA-AKI patients.
