Evidence map›Paper›PMID 40400993›Full record

ArticleJournal of thoracic disease2025

Relationship between perioperative plasma neutrophil gelatinase-associated lipocalin level and acute kidney injury after acute type A aortic dissection.

Rutao Guo, Suwei Chen, Yipeng Ge, Yongliang Zhong, Chengnan Li, Zhiyu Qiao, Haiou Hu, Junming Zhu

Abstract read
In one paragraph

Article in Journal of thoracic disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Rutao GuoDepartment of Cardiovascular Surgery, Beijing Aortic Disease Center, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Suwei ChenDepartment of Cardiovascular Surgery, Beijing Aortic Disease Center, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Yipeng GeDepartment of Cardiovascular Surgery, Beijing Aortic Disease Center, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.ORCID https://orcid.org/0000-0003-2822-7111
Yongliang ZhongDepartment of Cardiovascular Surgery, Beijing Aortic Disease Center, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Chengnan LiDepartment of Cardiovascular Surgery, Beijing Aortic Disease Center, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Zhiyu QiaoDepartment of Cardiovascular Surgery, Beijing Aortic Disease Center, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Haiou HuDepartment of Cardiovascular Surgery, Beijing Aortic Disease Center, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Junming ZhuDepartment of Cardiovascular Surgery, Beijing Aortic Disease Center, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.ORCID https://orcid.org/0000-0002-6919-9164

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Acute type A aortic dissection (ATAAD) is a prevalent and life-threatening emergency in cardiovascular surgery. Acute kidney injury (AKI) is a common perioperative complication of ATAAD. The mechanism of occurrence is multi-factor. The traditional assessment of renal function might be postponed and better biomarkers are needed to predict AKI. This study simultaneously evaluated perioperative plasma neutrophil gelatinase-associated lipocalin (NGAL) levels during ATAAD surgery to predict the risk of postoperative. Methods: Total of 104 ATAAD patients were included in this research. Blood samples were collected from the patients at different time points: before surgery (T1), at the end of hypothermic circulatory arrest (HCA) (T2), at the end of cardiopulmonary bypass (CPB) (T3), 24 hours post-operation (T4), and 48 hours post-operation (T5). The patients were grouped based on whether the AKI occurred after surgery, and we compared levels of plasma NGAL across different time points. Additionally, we constructed a multivariate logistic regression model using preoperative and intraoperative data from the patients, incorporating plasma NGAL as a predictor to assess its predictive capability. Results: Based on Kidney Disease: Improving Global Outcomes (KDIGO) criteria, the occurrence of AKI among the 104 ATAAD patients was found to be 39.4% (41 out of 104). Within this group, 12 patients were categorized as KDIGO stage 1, 11 as stage 2, and 18 as stage 3; additionally, 14 patients required continuous renal replacement therapy (CRRT). Plasma NGAL levels were elevated at all measured time points for AKI patients compared to non-AKI group. Subgroup analysis revealed that plasma NGAL levels in patients with severe AKI (sAKI) consistently exceeded those in mild AKI (mAKI) cases, while no significant difference was observed between mAKI and non-AKI groups. Plasma NGAL demonstrated predictive capability for sAKI at each time point, with an area under the curve (AUC) of 0.739 [95% confidence interval (CI): 0.616-0.861; P<0.001] recorded at T5. Independent risk factors for postoperative AKI in ATAAD patients included preoperative ejection fraction [odds ratio (OR): 0.90; 95% CI: 0.81-0.99; P=0.043], D-dimer level (OR: 1.05; 95% CI: 1.01-1.09; P=0.01), and plasma NGAL level (OR: 1.02; 95% CI: 1.01-1.04; P=0.01). Conclusions: The perioperative levels of plasma NGAL in patients who developed AKI after ATAAD were notably elevated compared to those without AKI. Furthermore, plasma NGAL demonstrated strong predictive capability for severe postoperative AKI.

Indexed as

acute kidney injury (AKI)Acute type A aortic dissection (ATAAD)neutrophil gelatinase-associated lipocalin (NGAL)surgical repair

Identifiers

PMID40400993
PMCPMC12090155

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.