AI Article Synopsis
- The study investigates the neutrophil-lymphocyte ratio (NLR) as a potential predictor for overall mortality in patients undergoing thoracic endovascular aortic repair (TEVAR) for degenerative thoracic aortic aneurysm (TAA).
- Researchers analyzed data from 103 patients treated with TEVAR over nine years, finding that higher NLR, alongside age and ischemic heart disease, correlates with increased mortality risk.
- The optimal NLR cutoff identified for predicting all-cause mortality was 3.48, indicating that elevated NLR can help identify patients at higher risk after the procedure.
Article Abstract
Background: The neutrophil-lymphocyte ratio (NLR) has been increasingly recognized as a reliable surrogate marker for predicting mortality in clinical practice. This study determined the predictive ability of NLR for overall mortality after thoracic endovascular aortic repair (TEVAR) for degenerative thoracic aortic aneurysm (TAA).
Methods: Data from patients treated with TEVAR for degenerative TAA at our university hospital from January 2013 to December 2021 were evaluated. The preoperative NLR was calculated by dividing the absolute neutrophil count by the absolute lymphocyte count.
Results: One hundred-three patients were included in this study. During a 9-year follow-up, 32 patients (31.1%) died. Multivariable analyses showed that age (hazard ratio [HR], 1.06; 95% confidence interval [CI], 1.00-1.12; P = 0.021), ischemic heart disease (HR, 2.13; 95% CI, 1.05-4.36; P = 0.038), and NLR (HR, 1.36; 95% CI, 1.08-1.72; P = 0.009) predicted all-cause mortality after TEVAR. A receiver operating characteristic curve determined the optimal cutoff value of NLR to predict all-cause mortality was 3.48.
Conclusions: An elevated preoperative NLR is indicative of a higher likelihood of all-cause mortality in patients treated with TEVAR for degenerative TAA, suggesting that NLR could serve as a possible biomarker for stratifying patients at risk of overall mortality after TEVAR.
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| http://dx.doi.org/10.1016/j.avsg.2024.07.110 | DOI Listing |
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