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The association between lymphocyte-monocyte ratio and postoperative acute kidney injury in patients with acute type A aortic dissection

Wenxiu Chen, Xiaochun Song, Liang Hong, Huan Xu, Qian Yan, Wenhao Zhang, Jiakui Sun, Xiao Shen, Ying Liu, Xiang Wang, Qiankun Shi, Han Liu, Xinwei Mu, Cui Zhang

2022Journal of Cardiothoracic Surgery17 citationsDOIOpen Access PDF

Abstract

BACKGROUND: The aim of this study was to investigate the relationship between baseline lymphocyte-monocyte ratio (LMR) and postoperative acute kidney injury (AKI) in patients with acute type A aortic dissection (ATAAD). METHODS: ATAAD patients undergoing surgery in Nanjing First Hospital were enrolled from January 2019 to April 2021. Lymphocyte and monocyte were measured on admission. Multivariable logistic regression analyses were performed to explore the relationship between LMR and postoperative AKI. We also used receiver operating characteristic (ROC), net reclassification index (NRI) and integrated discrimination improvement (IDI) analyses to assess the predictive ability of LMR. RESULTS: Among the 159 recruited patients, 47 (29.6%) were diagnosed with AKI. Univariate logistic regression analysis indicated that ATAAD patients with higher levels of LMR were prone to have lower risk to develop AKI (odds ratio [OR], 0.493; 95% confidence interval [CI] 0.284-0.650, P = 0.001). After adjustment for the potential confounders, LMR remained an independent related factor with postoperative AKI (OR 0.527; 95% CI 0.327-0.815, P = 0.006). The cutoff value for LMR to predict AKI was determined to be 2.67 in the ROC curve analysis (area under curve: 0.719). NRI and IDI further confirmed the predictive capability of LMR in postoperative AKI. CONCLUSION: Elevated baseline LMR levels were independently associated with lower risk of postoperative AKI in ATAAD patients.

Topics & Concepts

MedicineCardiac surgeryCardiothoracic surgeryAortic dissectionAcute kidney injuryMonocyteInternal medicineCardiologyAortic rootSurgeryAortaAortic Disease and Treatment ApproachesInflammatory Biomarkers in Disease PrognosisInflammation biomarkers and pathways