Evidence map›Paper›PMID 40443509›Full record

ArticleFrontiers in medicine2025

AKI prediction model in acute aortic dissection surgery: nomogram development and validation.

Rui Du, Lai Wang, Yan Wang, Zhitao Zhao, Dahong Zhang, Shanshan Zuo

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Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Rui Du *Department of Intensive Care Medicine, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Lai Wang *Department of Intensive Care Medicine, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Yan WangDepartment of Intensive Care Medicine, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Zhitao ZhaoDepartment of Intensive Care Medicine, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Dahong ZhangDepartment of Cardiology, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Shanshan ZuoDepartment of Intensive Care Medicine, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This multicenter study developed and internally validated a biomarker-enhanced risk prediction nomogram integrating hemodynamic parameters and novel urinary biomarkers to stratify postoperative acute kidney injury (AKI) risks in patients undergoing emergency surgical repair for acute Stanford Type A aortic dissection (ATAAD). Methods: A cohort of 1,277 patients from the China Aortic Dissection Alliance (CADA) registry was chronologically split into derivation (70%, Results: Multivariable analysis identified seven independent predictors of postoperative AKI: preexisting cardiac dysfunction (adjusted odds ratio [aOR] = 2.17; 95% CI: 1.68-3.56), microvascular complications of diabetes (aOR = 3.26; 2.71-4.34), baseline renal impairment (aOR = 1.72; 1.36-3.29), blood urea nitrogen (BUN) ≥ 20 mg/dL (aOR = 2.19; 1.57-3.64), glomerular filtration rate (GFR) < 90 mL/min/1.73 m Conclusion: The nomogram demonstrates superior preoperative discriminative accuracy in AKI following ATAAD repair surgery. External validation via the VASCUNET registry is planned to confirm generalizability.

Indexed as

acute kidney injurymodelnomogramregressionrisk

Identifiers

PMID40443509
PMCPMC12119464

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