Monocyte-to-high-density lipoprotein ratio and systemic immune-inflammation index: Potential parameters for the evaluation of disease activity and severity in Graves’ ophthalmopathy?

Yılmaz Tuğan, Büşra; Ergen, Abdullah; Özkan, Berna

doi:10.1007/s10792-024-03077-x

Cited by 2 publications

(1 citation statement)

References 37 publications

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“…Furthermore, numerous studies have indicated that the neutrophil-to-lymphocyte and platelet ratio (NLPR) is a novel inflammatory marker and essential predictor of inflammation in several inflammatory diseases, including COVID-19 [ 42 – 44 ]. Few studies have examined the relationship between chronic diseases and dry eye disease using blood biomarkers, such as inflammation index ratios [ 45 – 47 ]. Additionally, a study in which the association between DED and lipid profiles was investigated revealed that the results of participants with DED were similar to the results of those diagnosed with DLP compared with the healthy group [ 48 ].…”

Section: Introductionmentioning

confidence: 99%

Assessment of leukocyte and systemic inflammation index ratios in dyslipidemia patients with dry eye disease: a retrospective case‒control study

Alhalwani,

Hafez,

Alsubaie

et al. 2024

Lipids Health Dis

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Background Dry eye disease (DED) is a complication of dyslipidemia (DLP) that is caused by metabolic syndrome and increased inflammation. This research aimed to assess leukocyte and systemic inflammation index ratios as potential biomarkers for systemic inflammation in dyslipidemia patients with dry eye disease (DLP-DED). Methods Several blood biomarkers were studied in 32 patients with DLP-DED (study group) and 63 patients with DLP-only (control group). The evaluated blood biomarkers included specific systemic inflammation index ratios, such as the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), and neutrophil-to-lymphocyte and platelet ratio (NLPR), and lipid profiles, such as total cholesterol (TC), high-density lipoprotein cholesterol (HDL), low-density lipoprotein cholesterol (LDL), triglyceride (TG), albumin (ALB), and C-reactive protein (CRP) levels. Results Lymphocyte levels were significantly greater in the DLP-DED group than in the DLP-only group (P = 0.044). In addition, a significant negative correlation between HDL and the NLPR (P = 0.007; r= -0.428) and a significant negative correlation between the serum ALB concentration and the PLR (P = 0.008; r= -0.420) were identified as potential inflammatory predictors of DLP-DED. Conclusion The findings of this study suggest that patients with DLP-DED may benefit from routine blood monitoring of their elevated lipid profile and blood inflammatory biomarkers, such as CRP, leukocytes, and systemic inflammation index ratios (NLR, PLR, MLR, and NLPR), to reduce the complications of DLP on ocular health. The correlation data suggest that the NLPR, PLR, serum ALB concentration, and serum HDL concentration may be valuable inflammatory biomarkers in DLP-DED patients. More research is required to ascertain the significance of the NLR, PLR, MLR, and NLPR and the additive role that leukocytes play.

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Section: Introductionmentioning

confidence: 99%

Assessment of leukocyte and systemic inflammation index ratios in dyslipidemia patients with dry eye disease: a retrospective case‒control study

Alhalwani,

Hafez,

Alsubaie

et al. 2024

Lipids Health Dis

View full text Add to dashboard Cite

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OCT Radiomic Features Used for the Assessment of Activity of Thyroid Eye Disease

Ma,

Zhang,

Jiang

et al. 2024

Journal of Craniofacial Surgery

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This retrospective study aimed to develop deep-learning radiomics models based on optical coherence tomography (OCT) scans to evaluate the activity of thyroid eye disease. The study included 33 patients (66 orbits) diagnosed with thyroid eye disease at Beijing Tongren Hospital between July 2021 and August 2022. We collected OCT scans, clinical activity score, and medical records of the patients. Patients were divided into active and inactive groups based on the clinical activity score, which were then divided into a training set and a test set at a ratio of ∼7:3. The macula-centered horizontal meridian image was used for the identification of the regions of interest using 3D slicer. Radiomics features were extracted and selected by t test and least absolute shrinkage and selection operator regression algorithm with 10-fold cross-validation. The random forest (RF) model and support vector machine (SVM) model were built based on retinal or choroid features and validated by receiver operating characteristic curves and area under the curve (AUC). For the retinal features, AUC were 0.800 (RF) and 0.840 (SVM) in the test set, and for the choroid features, the AUC were 0.733 and 0.813, for the RF model and SVM model, respectively. For the confusion matrix, the choroid-based SVM model had more balanced parameters compared with the retina-based SVM model. OCT-based deep learning radiomics analysis can be used to evaluate activity, which provide convenience in clinical practice.

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Monocyte-to-high-density lipoprotein ratio and systemic immune-inflammation index: Potential parameters for the evaluation of disease activity and severity in Graves’ ophthalmopathy?

Cited by 2 publications

References 37 publications

Assessment of leukocyte and systemic inflammation index ratios in dyslipidemia patients with dry eye disease: a retrospective case‒control study

Assessment of leukocyte and systemic inflammation index ratios in dyslipidemia patients with dry eye disease: a retrospective case‒control study

OCT Radiomic Features Used for the Assessment of Activity of Thyroid Eye Disease

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