0520 Associations Between CBC Derived Blood Indices and Macular Thickness in Patients with Obstructive Sleep Apnea

Abstract Introduction Obstructive sleep apnea (OSA) is characterized by intermittent hypoxia and sleep fragmentation, driving a chronic inflammatory state reflected in elevated cytokines and altered hematologic indices. Optical coherence tomography (OCT) enables quantitative assessment of retinal structure, and prior studies suggest that OSA is associated with retinal changes. Although neutrophil-to-lymphocyte (NLR), monocyte-to-lymphocyte (MLR), and platelet-to-lymphocyte (PLR) ratios have been evaluated as inflammatory markers in OSA, findings remain inconsistent and relationships between these indices and OCT parameters have yet to be explored. Additional ratios including hemoglobin-to-platelet (HPR), lymphocyte-to-red blood cell (LRR), platelet-to-monocyte (PMR), hemoglobin-to-lymphocyte (HLR), and monocyte-to-red blood cell (MRR) remain to be examined. Defining these associations may improve OSA risk stratification and clarify retinal involvement. Methods CBC values from 66 OSA patients were reviewed, and macular OCT scans were available for 19 after excluding those with macular pathology. OCT parameters included central, inner, and outer macular thickness across four quadrants. A control cohort of 55 patients had CBC values available and 7 of the 55 had OCT scans. Inflammatory indices were calculated for all OSA. Primary analyses assessed associations between inflammatory indices and macular thickness using Spearman correlation. Secondary analyses compared macular thickness and inflammatory indices between OSA patients and controls using independent-samples t tests, Mann–Whitney U tests, or MANOVA. Significance was set at p < 0.05. Results No inflammatory indices demonstrated statistically significant correlations with central or ring-based macular thickness in the OSA group (all p > 0.05). Central macular thickness did not differ between OSA patients and controls. Inner ring thickness was significantly reduced in OSA (286.0 ± 20.7 μm vs 334.1 ± 7.7 μm, p = 0.00017), while outer ring thickness was greater (335.2 ± 27.9 μm vs 294.2 ± 8.4 μm, p = 0.0016). Compared with controls, OSA patients had higher NLR, PLR, and MRR and lower WNR, HPR, and PMR (all p < 0.01). Conclusion In this cohort, CBC-derived inflammatory indices were not associated with macular thickness measurements in OSA patients. Although macular thickness differences were observed between OSA and control subjects, small sample sizes limit definitive interpretation. Larger studies with paired CBC–OCT datasets are needed. Support (if any)

Authors

Institutions

Publication Details

Journal
SLEEP
Published
2026-05-01
DOI
https://doi.org/10.1093/sleep/zsag091.0519
Primary Topic
Obstructive Sleep Apnea Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

0520 Associations Between CBC Derived Blood Indices and Macular Thickness in Patients with Obstructive Sleep Apnea

Samantha Dreyer, C Bouchard, Sunita Kumar, Omer Iqbal et al.
SLEEP
Obstructive Sleep Apnea Research
article

0520 Associations Between CBC Derived Blood Indices and Macular Thickness in Patients with Obstructive Sleep Apnea

Samantha Dreyer, C Bouchard, Sunita Kumar, Omer Iqbal, Deniz Oncel, Baraa Hussein, Stephanie Tan
article en

Abstract

Abstract Introduction Obstructive sleep apnea (OSA) is characterized by intermittent hypoxia and sleep fragmentation, driving a chronic inflammatory state reflected in elevated cytokines and altered hematologic indices. Optical coherence tomography (OCT) enables quantitative assessment of retinal structure, and prior studies suggest that OSA is associated with retinal changes. Although neutrophil-to-lymphocyte (NLR), monocyte-to-lymphocyte (MLR), and platelet-to-lymphocyte (PLR) ratios have been evaluated as inflammatory markers in OSA, findings remain inconsistent and relationships between these indices and OCT parameters have yet to be explored. Additional ratios including hemoglobin-to-platelet (HPR), lymphocyte-to-red blood cell (LRR), platelet-to-monocyte (PMR), hemoglobin-to-lymphocyte (HLR), and monocyte-to-red blood cell (MRR) remain to be examined. Defining these associations may improve OSA risk stratification and clarify retinal involvement. Methods CBC values from 66 OSA patients were reviewed, and macular OCT scans were available for 19 after excluding those with macular pathology. OCT parameters included central, inner, and outer macular thickness across four quadrants. A control cohort of 55 patients had CBC values available and 7 of the 55 had OCT scans. Inflammatory indices were calculated for all OSA. Primary analyses assessed associations between inflammatory indices and macular thickness using Spearman correlation. Secondary analyses compared macular thickness and inflammatory indices between OSA patients and controls using independent-samples t tests, Mann–Whitney U tests, or MANOVA. Significance was set at p < 0.05. Results No inflammatory indices demonstrated statistically significant correlations with central or ring-based macular thickness in the OSA group (all p > 0.05). Central macular thickness did not differ between OSA patients and controls. Inner ring thickness was significantly reduced in OSA (286.0 ± 20.7 μm vs 334.1 ± 7.7 μm, p = 0.00017), while outer ring thickness was greater (335.2 ± 27.9 μm vs 294.2 ± 8.4 μm, p = 0.0016). Compared with controls, OSA patients had higher NLR, PLR, and MRR and lower WNR, HPR, and PMR (all p < 0.01). Conclusion In this cohort, CBC-derived inflammatory indices were not associated with macular thickness measurements in OSA patients. Although macular thickness differences were observed between OSA and control subjects, small sample sizes limit definitive interpretation. Larger studies with paired CBC–OCT datasets are needed. Support (if any)

SLEEPVol. 49(Supplement_1)
Loyola University Chicago (US)
Openalex Percentile: Top 7%
Obstructive Sleep Apnea Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.