Peripheral complete blood cell count indices and serum lipid levels in polypoidal choroidal vasculopathy
Meng Pan1, Pengyi Zhou1, Zhenhui Liu1
1Department of Ophthalmology, The First Affiliated Hospital of Zhengzhou University, Henan Province Eye Hospital, Henan International Joint Research Laboratory for Ocular Immunology and Retinal Injury Repair, Zhengzhou, China.
Insights
Systemic inflammation indicators like white blood cells and neutrophils, along with high triglycerides and neutrophil-to-lymphocyte ratio, are risk factors for polypoidal choroidal vasculopathy (PCV). Mean corpuscular volume, however, shows a protective effect against PCV development.
Area of Science:
- Ophthalmology
- Hematology
- Inflammation
Background:
- Polypoidal choroidal vasculopathy (PCV) is a significant cause of vision loss.
- Understanding the systemic factors associated with PCV risk is crucial for early detection and management.
Purpose of the Study:
- To investigate the association between complete blood cell count-derived indicators and serum lipid levels with the risk of developing PCV.
- To identify potential hematologic and lipid biomarkers for PCV.
Main Methods:
- A retrospective case-control study involving 48 PCV patients and 54 controls.
- Collection and analysis of demographic, ophthalmic, and hematologic parameters.
- Comparison of blood cell count-derived indicators and serum lipid levels between groups.
Main Results:
- PCV patients exhibited higher white blood cell, neutrophil, triglyceride, and neutrophil-to-lymphocyte ratio levels, and lower mean corpuscular volume compared to controls.
- White blood cells, neutrophils, triglycerides, and neutrophil-to-lymphocyte ratio were identified as independent risk factors for PCV.
- Mean corpuscular volume emerged as an independent protective factor against PCV.
Conclusions:
- Elevated white blood cells, neutrophils, triglycerides, and neutrophil-to-lymphocyte ratio are significant risk factors for PCV.
- Reduced mean corpuscular volume is a protective factor against PCV.
- A combination of these hematologic and lipid parameters demonstrates potential for predicting PCV risk.
Clinical Relevance:
Systemic inflammation factors (e.g. white blood cells and neutrophils), high level of triglyceride and high neutrophil-to-lymphocyte ratio have significant associations with the risk of polypoidal choroidal vasculopathy (PCV).
Background:
This study aimed to investigate associations of complete blood cell count-derived indicators and serum lipid levels with PCV.
Methods:
Forty-eight patients with PCV and 54 age- and gender-matched control group participants were included in the study. Records of demographic characteristics and the results of ophthalmic examinations and haematologic parameters for the participants were collected retrospectively. Blood cell count-derived indicators and serum lipid levels were calculated and were compared between the two groups.
Results:
The PCV group had higher white blood cell, neutrophils, triglyceride, and neutrophil-to-lymphocyte ratio levels and lower mean corpuscular volume level, compared with the control group (P = 0.002, P < 0.001, P = 0.003, P = 0.002, and P = 0.027, respectively). White blood cell, neutrophil, triglyceride, and neutrophil-to-lymphocyte ratio were independent risk factors for PCV (odds ratio [OR] = 1.668, 2.324, 2.846, and 2.543, respectively; P = 0.003, P = 0.001, P = 0.005, and P = 0.004, respectively). Mean corpuscular volume was an independent protective factor against PCV (OR = 0.902; P = 0.031). Receiver operating characteristic curve analysis revealed that the area under the curve values for white blood cell, neutrophil, triglyceride, neutrophil-to-lymphocyte ratio, and mean corpuscular volume was 0.656, 0.687, 0.660, 0.659, and 0.633, respectively (P< 0.05, respectively). The combined area under the curve value was 0.772 (P < 0.001).
Conclusions:
White blood cells, neutrophils, triglycerides, and the neutrophil-to-lymphocyte ratio were the risk factors for PCV. Mean corpuscular volume was a protective factor against PCV. These results suggested that the combination of white blood cells, neutrophils, triglyceride, neutrophil-to-lymphocyte ratio, and mean corpuscular volume can be used to predict PCV.
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