Joshy Susmitha, Chaitra M C
Department of Ophthalmology, Sri Devaraj Urs Medical College, Tamaka Kolar, Karnataka, India.
Bioinformation. 2024 May 31;20(5):478-482. doi: 10.6026/973206300200478. eCollection 2024.
The multifaceted role of NLR as a biomarker in corneal pathologies, aiming to enhance clinicians' understanding for better patient outcomes is of interest. An extensive ophthalmic assessment was conducted. Patients with corneal pathologies were identified as cases and those with healthy cornea as controls. A complete WBC blood count was performed using Automated Flow Cytometric method and the counts of white blood cells, neutrophils, platelets, and lymphocytes where recorded. NLR, PLR, and MLR were calculated by dividing the Neutrophil/Platelet/Monocyte counts by the lymphocyte counts. The study revealed that the Neutrophil-to-Lymphocyte Ratio (NLR), Monocyte-to-Lymphocyte Ratio (MLR), and Platelet-to-Lymphocyte Ratio (PLR) were significantly higher in the case group compared to the control group. N/L proved the best predictor among inflammatory markers, followed by M/L and P/L, highlighting the intricate immune response in corneal diseases, urging customized assessments in ocular health research.
NLR作为角膜病变生物标志物的多方面作用，旨在增强临床医生的理解以实现更好的患者预后，这一点备受关注。进行了广泛的眼科评估。将患有角膜病变的患者确定为病例组，将角膜健康的患者作为对照组。使用自动流式细胞术进行全血细胞计数，并记录白细胞、中性粒细胞、血小板和淋巴细胞的计数。通过将中性粒细胞/血小板/单核细胞计数除以淋巴细胞计数来计算NLR、PLR和MLR。研究表明，与对照组相比，病例组的中性粒细胞与淋巴细胞比率（NLR）、单核细胞与淋巴细胞比率（MLR）和血小板与淋巴细胞比率（PLR）显著更高。N/L被证明是炎症标志物中最佳的预测指标，其次是M/L和P/L，这突出了角膜疾病中复杂的免疫反应，促使在眼部健康研究中进行定制化评估。
