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The influence of age, anthropometric and metabolic variables on LDI(FLARE) and corneal confocal microscopy in healthy individuals
INTRODUCTION: The laser Doppler imaging (LDI) (FLARE) and corneal confocal microscopy (CCM) are reliable markers of small fibre function (SFF) and structure (SFS), respectively, but the impact of potential confounding variables needs to be defined. The objective of this study was to determine the in...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5843248/ https://www.ncbi.nlm.nih.gov/pubmed/29518115 http://dx.doi.org/10.1371/journal.pone.0193452 |
Sumario: | INTRODUCTION: The laser Doppler imaging (LDI) (FLARE) and corneal confocal microscopy (CCM) are reliable markers of small fibre function (SFF) and structure (SFS), respectively, but the impact of potential confounding variables needs to be defined. The objective of this study was to determine the influence of age, anthropometric and biochemical variables on LDI and CCM. METHODS: 80 healthy volunteers (43 males) (age: 39.7±15.2 yrs.) underwent LDI(FLARE) and CCM assessment and the effect of age, anthropometric and biochemical variables was determined using multivariate analysis. RESULTS: There was an age-related decline in LDI(FLARE) (0.07cm(2)/yr; R(2) = 0.669; p = <0.0001) and CCM parameters (CNFD: 0.05 fibres/mm(2) /yr; R(2) = 0.590; p = <0.0001, CNBD: 0.06 branches/mm(2)/yr; R(2) = 0.549; p = 0.001and CNFL 0.07 mm/mm(2)/yr; R(2) = 0.369; p = 0.009). BMI did not influence SFF (p = 0.08) but had a significant independent association with CNFD (p = 0.01). Fasting triglycerides (TG) independently influenced the LDI(FLARE) (β(c):-0.204; p = 0.008) and all CCM indices (β(c):-0.191 to -0.243; p = <0.05). HbA(1c) was significantly associated with CNFD only (p = 0.001) but not with LDI(FLARE), CNBD or CNFL (p = ≥0.05). Blood pressure and total cholesterol were not associated with LDI(FLARE) or any CCM parameters. There was a significant correlation between LDI(FLARE) and all CCM parameters (p = ≤0.01). CONCLUSIONS: This study shows that in healthy controls, both SFF measured by LDI(FLARE) and SFS assessed by CCM showed a significant inverse correlation with age and triglycerides, perhaps suggesting the use of age-specific normative values when interpreting these outcomes. Furthermore, this study shows that in healthy controls, despite measuring different neural parameters, both methods correlated significantly with each other. |
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