ArticleReviews in cardiovascular medicine2022
Toll-Like Receptor 4 Is an Early and Sensitive Biomarker to Detect Acute Kidney Injury after Surgery for Type A Aortic Dissection.
Article in Reviews in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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.
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Who cites it
1 citing paper in PubMed.
- Machine learning prediction of postoperative acute kidney injury in aortic dissection patients using dynamic inflammatory markers and clinical features.BMC medical informatics and decision making · 2026Article
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6 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Background: Acute kidney injury (AKI) is a relatively common complication after surgery for type A acute aortic dissection (ATAAD) and is associated with a poor prognosis. Preclinical models suggest that toll-like receptor 4 (TLR4) may participate in the pathogenesis of AKI. However, the correlation of serum TLR4 and post-operative AKI has not been studied in ATAAD patients. This study aimed to explore the possibility of using serum TLR4 levels to predict AKI and 30-day mortality in patients undergoing ATAAD surgery. Methods: A prospective, single-center cohort study was conducted and enrolled a total of 64 patients undergoing ATAAD surgery. The level of serum TLR4 was measured and compared before and within 24 hours after the completion of surgery. Results: Thirty-five (54.7%) patients developed AKI, including 7 (10.9%) diagnosed with severe AKI (Kidney Disease Improving Global Outcomes (KDIGO) stage 3). TLR4 levels at 0-hour,1-hour, 3-hour, and 6-hour after intensive care unit (ICU) admission were significantly different between patients with or without AKI. Further analysis showed that the difference was most significant at 0-hour after ICU admission which corresponded to an area under the curve (AUC) of 0.886 (95% confidence interval (CI), 0.800 to 0.973). For severe AKI, the AUC of TLR4 was the highest with 0.923 (0.852 to 0.995) at 1-hour after ICU admission. TLR4 levels before surgery and at 0-hour, 1-hour, as well as 3-hour after ICU admission were significantly different between survivors and non-survivors. Furthermore, we found that the serum level of TLR4 upon ICU admission could be used to predict the 30-day mortality with AUC of 0.805 (0.648 to 0.962). Conclusions: Serum TLR4 levels can be used as a biomarker to predict the occurrence of AKI and 30-day mortality in patients undergoing ATAAD surgery. Clinical Trial Registration Number: ChiCTR2200057197.
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