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Research Article

Evaluation of the macula, retinal nerve fiber layer and choroid in preeclampsia, healthy pregnant and healthy non-pregnant women using spectral-domain optical coherence tomography

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Abstract

Objective: To evaluate the macular, retinal nerve fiber layer (RNFL) and choroidal thickness alterations by using spectral-domain optical coherence tomography (SD-OCT) in preeclampsia and compare with healthy pregnant and healthy non-pregnant controls. Method: The study population included healthy pregnant control group (n: 25), healthy non-pregnant control group (n: 26) and study group with preeclampsia (n: 27). Retinal thickness parameters were measured by SD-OCT. Results: There was a statistically significant difference among all of the groups for choroidal thickness (p < 0.001). Choroidal thickness in preeclamptic women was significantly thinner than healthy pregnant women. The most thick choroid layer was detected in healthy pregnant group, and also the most thin choroidal thickness was detected in healthy non-pregnant group (p < 0.001). Macular central subfield and foveal center thickness were significantly thinner in preeclamptic study and healthy pregnant groups than healthy non-pregnant group (p < 0.001). However, there was no statistically significant difference between preeclamptic study group and healthy pregnant group for both macular central subfield and foveal center thickness. Average of RNFL thickness was significantly thicker in healthy pregnant group than healthy non-pregnant group (p = 0.004). Conclusions: This study revealed that choroidal thickness measured using SD-OCT increased in women with preeclampsia and healthy pregnant women but the increase in choroidal thickness in preeclampsia was lower than the healthy pregnant controls. This lower rise in choroidal thickness can be generally attributed to the markedly increased systemic vascular vasospasm secondary to preeclampsia.

Acknowledgements

This study was conducted in Kayseri Education and Research Hospital. We thank Dr Faruk Balkaya (English Department of Kayseri Erciyes University) for his contribution to English terms and language.

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