Cited by 0Acute Kidney Injury ResearchAortic Disease and Treatment ApproachesChronic Kidney Disease and Diabetes

Development and validation of a clinical prediction model for postcontrast acute kidney injury in patients with postoperative acute kidney injury of acute Stanford type A aortic dissection

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Zhao, Weiwei, Ge, Min, Cheng, YongQing, Chen, Ming, Zhou, Qing, Yu, Wenkui·2026·Frontiers in Cardiovascular Medicine

Abstract

Objectives: To identify independent risk factors for postcontrast acute kidney injury (PC-AKI) in patients with postoperative AKI (PO-AKI) following acute Stanford type A aortic dissection (ATAAD), and to develop a clinically applicable prediction model. Methods: This retrospective cohort study enrolled 604 PO-AKI patients (2014–2024, Nanjing Drum Tower Hospital) who underwent ≥1 postoperative contrast-enhanced CTA. PC-AKI was diagnosed per 2018 ESUR guidelines (sCr elevation ≥26.5 μmol/L or ≥1.5 times baseline within 48–72 h, with baseline defined as the most recent pre-CTA sCr). Three variable-selection strategies (backward stepwise AIC, LASSO and XGBoost-SHAP) were used. A multivariable logistic regression model was constructed, internally validated by bootstrap resampling (1,000 repetitions), and evaluated via AUC, calibration curves, Brier score, decision curve analysis, and clinical impact curve. Results: PC-AKI incidence was 9.8% (59/604), with striking recovery-dependent stratification: 3.5% in fully recovered PO-AKI vs. 52.5% in unrecovered PO-AKI. Independent predictors included PO-AKI stage 3 (OR = 3.144, 95% CI: 1.41–7.06) and unrecovered PO-AKI before first CTA (OR = 25.212, 95% CI: 12.57–53.49). The model exhibited good discrimination (AUC=0.848, 95% CI: 0.78–0.91) and calibration (Brier=0.057). PC-AKI was independently associated with prolonged ICU stay (RR = 1.521, 95% CI: 1.19–1.97) and incomplete renal recovery at discharge (OR = 2.554, 95% CI: 1.30–4.86), but not with 30-day mortality ( P = 0.606). Conclusion: Dynamic PO-AKI recovery and advanced AKI stage are strongly associated with PC-AKI risk in post-ATAAD patients. The internally validated model may aid individualized risk stratification before contrast procedures in this high-risk subgroup. External validation is needed before clinical deployment.

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Crossref · 10.3389/fcvm.2026.1817670

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References 30

Authors
Zhao, W., Ge, M., Cheng, Y., Chen, M., Zhou, Q., & Yu, W.
Affiliations
Nanjing Drum Tower Hospital (CN)
Corresponding author
  • Chen, Ming
  • Zhou, Qing
  • Yu, Wenkui
Venue
Frontiers in Cardiovascular Medicine
Published
2026-07-10
Volume
13
Pages
1817670-1817670
ISSN
2297-055X (ISSN-L)
OpenAlex
W7167923414
Cited by
0
References
30
FWCI
0.00
Type
journal article
Language
en
Open access
Locations
  • Frontiers in Cardiovascular Medicine (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • PubMed Central (publishedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Topics
  • Health Sciences › Medicine › Nephrology › Acute Kidney Injury Research
  • Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Aortic Disease and Treatment Approaches
  • Health Sciences › Medicine › Nephrology › Chronic Kidney Disease and Diabetes
Keywords
postoperative acute kidney injury, type A aortic dissection, contrast-enhanced CT angiography, risk prediction model, AKI stage, renal function recovery, risk factors, ICU length of stay, risk stratification, contrast-induced nephropathy, XGBoost-SHAP, LASSO

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