Predictive value of lymphocyte‐to‐monocyte ratio in critically Ill patients with atrial fibrillation: A propensity score matching analysis

Yu, Yue; Wang, Suyu; Wang, Pei; Xu, Qiumeng; Zhang, Yufeng; Xue, Xiaofei; Yang, Qian; Wang, Xi; Wang, Junnan; Huang, Run; Liu, Meiyun; Wang, Zhinong

doi:10.1002/jcla.24217

Cited by 8 publications

(7 citation statements)

References 47 publications

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“…In that study, the relation between LMR and mortality in patients with AF was questioned. In this respect, low LMR was associated with a risk of mortality in patients with AF [27]. According to the findings of the study, although the monocyte count was elevated in AF, the LMR ratio was low.…”

Section: Discussionmentioning

confidence: 52%

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Inflammatory biomarkers derived from whole blood cell count in atrial fibrillation patients

Kutlay,

Yalım,

Aktan

2023

Kardiologiia

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Aim This study aimed to evaluate the potential relationships between atrial fibrillation (AF) and hematological indices, such as neutrophil / lymphocyte ratio (NLR), mean platelet volume (MPV), platelet / lymphocyte ratio (PLR), mean platelet volume / platelet (MPV / PLT), neutrophil / monocyte ratio (NMR), lymphocyte / monocyte ratio (LMR), systemic immune inflammation index (SII, platelet x neutrophil / lymphocytes), and monocyte / high-density lipoprotein ratio (MHR), that can be obtained from the complete blood count (CBC test).Material and method This retrospective study included 150 patients aged 40–80 yrs who were diagnosed with AF, and 91 age- and gender-matched controls. Hematological indices and inflammation markers were evaluated.Results In the AF group, NLR, PLR, SII, MHR, and MPV / PLT were elevated, and LMR was low. Multivariate regression analysis showed that hematological indices NLR, SII, and MHR were significant, independent, predictive factors for AF. ROC curves revealed the following significant sensitivity and specificity values: NLR 75 %, 52.3 %; LMR 61.3 %, 67.3 %; SII 67.4 %, 64.6 %; MHR 100 %, 56 %.Conclusion NLR, PLR, LMR, SII, MPV / PLT, and MHR may be useful in the early prediction of AF development. It is strongly emphasized that among these variables, MHR, may be the best independent variable that can be used to predict AF.

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Section: Discussionmentioning

confidence: 52%

“…However, there is no direct evidence regarding a relation between LMR and AF [24,26]. A study conducted by Yu et al was the first to explain the association between AF and LMR [27]. In that study, the relation between LMR and mortality in patients with AF was questioned.…”

Section: Discussionmentioning

confidence: 99%

Inflammatory biomarkers derived from whole blood cell count in atrial fibrillation patients

Kutlay,

Yalım,

Aktan

2023

Kardiologiia

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“…Many studies have shown that LMR is also associated with cardiac disease severity and mortality. 8,[29][30][31][32][33][34] According to the results of our study, it has been shown that NLR, which is the parameter of the NPS, will be a good marker in evaluating the inflammatory response. Considering that parameters including more than 1 inflammatory pathway give better results, it will be seen that the NPS including LMR gives good results in our study.…”

Section: Discussionmentioning

confidence: 99%

Naples Prognostic Score and Prediction of Left Ventricular Ejection Fraction in STEMI Patients

et al. 2023

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The Naples score is a new prognostic score developed according to inflammatory and nutritional status and frequently evaluated in cancer patients. The present study aimed to evaluate using the Naples prognostic score (NPS) to predict the development of decreased left ventricular ejection fraction (LVEF) after acute ST-segment elevation myocardial infarction (STEMI). The study has a multicenter and retrospective design and included 2280 patients with STEMI who underwent primary percutaneous coronary intervention (pPCI) between 2017 and 2022. All participants were divided into 2 groups according to their NPS. The relationship between these 2 groups and LVEF was evaluated. The low-Naples risk group (Group-1) included 799 patients, and the high-Naples risk group (Group-2) had 1481 patients. Hospital mortality, shock, and no-reflow rates were found to be higher in Group 2 compared with Group 1 ( P < .001, P = .032, P = .004). The NPS was significantly inversely associated with discharge LVEF (B coefficient: −1.51, 95% CI-2.26; −.76, P = .001). NPS, a simple and easily calculated risk score, may help identify high-risk STEMI patients. To the best of our knowledge, the present study is the first to demonstrate the relationship between low LVEF and NPS in patients with STEMI.

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“…Neutrophil counts indicate the non‐specific inflammatory response of the organism and reflect a state of subclinical inflammation 32 . Lymphocytes play an essential role in the regulation of the immune systems 33 and inflammation enhances the apoptosis of lymphocytes 34 . NLR has been shown to be significantly associated with the development and recurrence of AF 35 .…”

Section: Discussionmentioning

confidence: 99%

Association between the systemic immune‐inflammation index and outcomes among atrial fibrillation patients with diabetes undergoing radiofrequency catheter ablation

Zhao

Jiang

Zhang

et al. 2023

Clinical Cardiology

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PurposeTo investigate the relationship between the incidence of atrial fibrillation (AF) recurrence and the levels of the systemic immune‐inflammatory index (SII, platelet × neutrophil/lymphocyte ratio) in patients with AF and diabetes mellitus (DM) undergoing after radiofrequency catheter ablation (RFCA).Patients and MethodsPreoperative SII levels were determined in AF patients with DM undergoing RFCA. Restricted cubic splines were used to determine the correlation between SII and the risk of AF recurrence. Multivariate‐adjusted logistic regression models were constructed to determine the relationship between SII levels and AF recurrence. The predictive value of the clinical model and combined with the SII index was estimated by the area under the receiver‑operating characteristic curve, net reclassification improvement (NRI), and integrated discrimination improvement (IDI).ResultsA total of 204 patients with AF and DM who underwent RFCA in our hospital were included. Seventy‐seven patients had AF recurred during a mean follow‐up of 20 months. Restricted cubic spline analysis showed that when SII ≥ 444.77 × 109/L, there was a positive correlation with the incidence of AF recurrence. In addition, adding the SII to the predictive model for AF recurrence after RFCA in patients with DM and AF could contribute to an increase in C‐statistics (0.798 vs. 0.749, p = .034). After SII was incorporated into the clinical model, the comprehensive discrimination and net reclassification tended to improve (IDI and NRI > 0, p < .05).ConclusionSII was independently and positively associated with recurrence after the first catheter ablation in patients with DM and AF.

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Predictive value of lymphocyte‐to‐monocyte ratio in critically Ill patients with atrial fibrillation: A propensity score matching analysis

Abstract: This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Cited by 8 publications

References 47 publications

Inflammatory biomarkers derived from whole blood cell count in atrial fibrillation patients

Inflammatory biomarkers derived from whole blood cell count in atrial fibrillation patients

Naples Prognostic Score and Prediction of Left Ventricular Ejection Fraction in STEMI Patients

Association between the systemic immune‐inflammation index and outcomes among atrial fibrillation patients with diabetes undergoing radiofrequency catheter ablation

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