Cerebral malaria: insight into pathology from optical coherence tomography
Abstract We aimed to investigate structural retinal changes in malarial retinopathy (MR) using hand-held optical coherence tomography (HH-OCT) to assess its diagnostic potential. Children with MR (n = 43) underwent ophthalmoscopy, fluorescein angiography and HH-OCT during admission, 1-month (n = 31)...
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2021
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oai:doaj.org-article:d0e171e9f1664dbbba0931106fa0adbd2021-12-02T18:49:25ZCerebral malaria: insight into pathology from optical coherence tomography10.1038/s41598-021-94495-92045-2322https://doaj.org/article/d0e171e9f1664dbbba0931106fa0adbd2021-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-94495-9https://doaj.org/toc/2045-2322Abstract We aimed to investigate structural retinal changes in malarial retinopathy (MR) using hand-held optical coherence tomography (HH-OCT) to assess its diagnostic potential. Children with MR (n = 43) underwent ophthalmoscopy, fluorescein angiography and HH-OCT during admission, 1-month (n = 31) and 1-year (n = 8) post-discharge. Controls were comatose patients without malaria (n = 6) and age/sex-matched healthy children (n = 43). OCT changes and retinal layer thicknesses were compared. On HH-OCT, hyper-reflective areas (HRAs) were seen in the inner retina of 81% of MR patients, corresponding to ischaemic retinal whitening on fundus photography. Cotton wool spots were present in 37% and abnormal hyper-reflective dots, co-localized to capillary plexus, in 93%. Hyper-reflective vessel walls were present in 84%, and intra-retinal cysts in 9%. Vascular changes and cysts resolved within 48 h. HRAs developed into retinal thinning at 1 month (p = 0.027) which was more pronounced after 1 year (p = 0.009). Ischaemic retinal whitening is located within inner retinal layers, distinguishing it from cotton wool spots. Vascular hyper-reflectivity may represent the sequestration of parasitized erythrocytes in vessels, a key CM feature. The mechanisms of post-ischemic retinal atrophy and cerebral atrophy with cognitive impairment may be similar in CM survivors. HH-OCT has the potential for monitoring patients, treatment response and predicting neurological deficits.Zhanhan TuJack GormleyViral ShethKarl B. SeydelTerrie TaylorNicholas BeareValentina BarreraFrank A. ProudlockChatonda MandaSimon HardingIrene GottlobNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021) |
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Medicine R Science Q Zhanhan Tu Jack Gormley Viral Sheth Karl B. Seydel Terrie Taylor Nicholas Beare Valentina Barrera Frank A. Proudlock Chatonda Manda Simon Harding Irene Gottlob Cerebral malaria: insight into pathology from optical coherence tomography |
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Abstract We aimed to investigate structural retinal changes in malarial retinopathy (MR) using hand-held optical coherence tomography (HH-OCT) to assess its diagnostic potential. Children with MR (n = 43) underwent ophthalmoscopy, fluorescein angiography and HH-OCT during admission, 1-month (n = 31) and 1-year (n = 8) post-discharge. Controls were comatose patients without malaria (n = 6) and age/sex-matched healthy children (n = 43). OCT changes and retinal layer thicknesses were compared. On HH-OCT, hyper-reflective areas (HRAs) were seen in the inner retina of 81% of MR patients, corresponding to ischaemic retinal whitening on fundus photography. Cotton wool spots were present in 37% and abnormal hyper-reflective dots, co-localized to capillary plexus, in 93%. Hyper-reflective vessel walls were present in 84%, and intra-retinal cysts in 9%. Vascular changes and cysts resolved within 48 h. HRAs developed into retinal thinning at 1 month (p = 0.027) which was more pronounced after 1 year (p = 0.009). Ischaemic retinal whitening is located within inner retinal layers, distinguishing it from cotton wool spots. Vascular hyper-reflectivity may represent the sequestration of parasitized erythrocytes in vessels, a key CM feature. The mechanisms of post-ischemic retinal atrophy and cerebral atrophy with cognitive impairment may be similar in CM survivors. HH-OCT has the potential for monitoring patients, treatment response and predicting neurological deficits. |
format |
article |
author |
Zhanhan Tu Jack Gormley Viral Sheth Karl B. Seydel Terrie Taylor Nicholas Beare Valentina Barrera Frank A. Proudlock Chatonda Manda Simon Harding Irene Gottlob |
author_facet |
Zhanhan Tu Jack Gormley Viral Sheth Karl B. Seydel Terrie Taylor Nicholas Beare Valentina Barrera Frank A. Proudlock Chatonda Manda Simon Harding Irene Gottlob |
author_sort |
Zhanhan Tu |
title |
Cerebral malaria: insight into pathology from optical coherence tomography |
title_short |
Cerebral malaria: insight into pathology from optical coherence tomography |
title_full |
Cerebral malaria: insight into pathology from optical coherence tomography |
title_fullStr |
Cerebral malaria: insight into pathology from optical coherence tomography |
title_full_unstemmed |
Cerebral malaria: insight into pathology from optical coherence tomography |
title_sort |
cerebral malaria: insight into pathology from optical coherence tomography |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/d0e171e9f1664dbbba0931106fa0adbd |
work_keys_str_mv |
AT zhanhantu cerebralmalariainsightintopathologyfromopticalcoherencetomography AT jackgormley cerebralmalariainsightintopathologyfromopticalcoherencetomography AT viralsheth cerebralmalariainsightintopathologyfromopticalcoherencetomography AT karlbseydel cerebralmalariainsightintopathologyfromopticalcoherencetomography AT terrietaylor cerebralmalariainsightintopathologyfromopticalcoherencetomography AT nicholasbeare cerebralmalariainsightintopathologyfromopticalcoherencetomography AT valentinabarrera cerebralmalariainsightintopathologyfromopticalcoherencetomography AT frankaproudlock cerebralmalariainsightintopathologyfromopticalcoherencetomography AT chatondamanda cerebralmalariainsightintopathologyfromopticalcoherencetomography AT simonharding cerebralmalariainsightintopathologyfromopticalcoherencetomography AT irenegottlob cerebralmalariainsightintopathologyfromopticalcoherencetomography |
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1718377591714349056 |