Inflammatory biomarkers derived from whole blood cell count in atrial fibrillation patients.
Journal
Kardiologiia
ISSN: 0022-9040
Titre abrégé: Kardiologiia
Pays: Russia (Federation)
ID NLM: 0376351
Informations de publication
Date de publication:
31 Aug 2023
31 Aug 2023
Historique:
received:
25
10
2022
accepted:
23
12
2022
medline:
12
9
2023
pubmed:
11
9
2023
entrez:
11
9
2023
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 37691505
doi: 10.18087/cardio.2023.8.n2336
doi:
Substances chimiques
Biomarkers
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM