Arq Bras Oftalmol
Arquivos Brasileiros de Oftalmologia
Arq. Bras.
Oftalmol.
0004-2749
1678-2925
Conselho Brasileiro de Oftalmologia
Objetivo:
Comparar a espessura da coróide subfoveal (subfoveal choroidal thickness - SFCT)
de pacientes com diferentes gravidades de síndrome de apnéia/hipopnéia obstrutiva
do sono (obstructive sleep apnea/hypopnea syndrome - OSAHS) e controles normais
por meio da tomografia de coerência óptica com profundidade de imagem aprimorada
(enhanced depth imaging optical coherence tomography - EDI-OCT).
Métodos:
Neste estudo retrospectivo caso-controle, foram incluídos 49 olhos de 49 pacientes
submetidos a polissonografia. A espessura da coroide subfoveal nas linhas
horizontais e verticais de rastreamento foi medida manualmente em todos os olhos,
com base nas imagens de EDI-OCT. De acordo com o índice de apnéia/hipopnéia (AHI),
duas análises separadas foram realizadas: com dados de pacientes sem OSAHS, com
OSAHS leve (5≤AHI<15), com OSAHS moderado (15≤AHI<30) e com OSAHS grave
(AHI≥30) e com dados de pacientes sem OSAHS, com OSAHS leve (5≤AHI<15) e com
OSAHS moderada e grave (AHI≥15).
Resultados:
A média de SFCT foi de 314,5 μm nos pacientes sem OSAHS (n=14), 324,5 μm em
pacientes com OSAHS leve (n=15), 269,3 μm em pacientes com OSAHS moderada (n=11) e
264,3 μm em pacientes com OSAHS grave (n=9). Não houve diferença significativa
entre a SFCT dos quatro grupos, apesar do discreto afinamento no grupo severo
(p=0,08). Quando os grupos moderados e graves foram fundidos e comparados com os
grupos sem OSAHS e com OSAHS leves, SFCT do grupo moderado/ grave foi
significativamente mais fino do que o do grupo leve (p=0,016). Foi encontrada uma
correlação negativa significativa entre SFCT e AHI em pacientes com OSAHS
(r=0,368, p=0,033).
Conclusões:
Em pacientes com OSAHS moderada/grave, a EDI-OCT revelou um SFCT afinado. Outras
doenças sistêmicas ou oculares associadas podem induzir a deficiência de fluxo
sanguíneo e oxigenação nos olhos de pacientes com OSAHS. Mais estudos são
necessários para encontrar a relação exata entre doenças oculares e graus clínicos
de OSAHS.
INTRODUCTION
Obstructive sleep apnea/hypopnea syndrome (OSAHS) is characterized by transient upper
airway resistance caused by a recurrent reduction or cessation of airflow, due to
partial or complete occlusion of the upper airway during sleep. It is associated with
sleep fragmentation, arousals, bradycardia, tachycardia, and inadequate oxygen
saturation despite an increased respiratory effort(1). Major clinical consequences of the disorder include
excessive daytime sleepiness, neurocognitive dysfunction, cardiovascular diseases
(hypertension, stroke, myocardial infarction, and heart failure), and metabolic
dysfunction(2). Risk
factors include obesity, male gender, thick neck, upper respiratory tract abnormalities,
and excessive alcohol intake(3). Additionally, OSAHS has been shown to affect the vascular
endothelium by promoting inflammation and oxidative stress; vascular autoregulation with
high sympathetic stimulus increases the time delay of the baroreflex response of muscle
sympathetic nerve activity(4,5).
The choroidal vasculature provides the major blood supply to the outer retina, and plays
an important role in temperature control and volume regulation. The smooth muscle of the
choroid vessel walls are innervated by sympathetic and parasympathetic nerves. It has
been shown that choroidal blood flow is autoregulated in order to maintain adequate
oxygen saturation and to keep the temperature on the retina constant, despite changes in
systemic blood flow(6).
Previous studies have suggested relationships between OSAHS and several ocular diseases,
including central serous chorioretinopathy, glaucomatous optic neuropathy, and ischemic
optic neuropathy(7-9). It has been speculated that the
inflammation, catecholamine excretion, and raised sympathetic activity and blood
pressure triggered by OSAHS may play a role in the pathogenesis of these
diseases(10,11).
Optical coherence tomography (OCT) is a noncontact imaging method that allows for
repetitive, high resolution cross-sectional imaging of the retina and choroid, and
enables the evaluation of living choroid. In 2008, Spaide et al., reported the technique
of enhanced depth imaging (EDI) OCT (820-nm wavelength), which is capable of obtaining
images from deep layers of the retina. This has enabled the technique to be used to
investigate choroidal diseases such as central serous chorioretinopathy, age-related
macular degeneration, and polypoidal choroidal vasculopathy(12-14).
In this study, we aimed to compare the subfoveal choroidal thickness (SFCT) of patients
with OSAHS and control subjects using EDI-OCT. Also, the study examined whether a
relationship exists between different clinical grades of OSAHS and choroidal
thicknesses.
METHODS
Sixty-two patients who presented with problematic snoring and daytime sleepiness were
admitted for an overnight polysomnographic evaluation of suspected OSAHS. They were
subsequently referred for ophthalmologic evaluation at the ophthalmology clinic at Konya
Education and Research Hospital between June 2011 and July 2012. This retrospective,
case-control study was conducted according to the tenets of the Declaration of Helsinki
and with the approval of the ethics committee of Selcuk University. All OSAHS subjects
underwent a standard overnight polysomnography. This investigation was performed using
the Compumedics E-series Sleep System, (Compumedics, Melbourne, Australia).
Electroencephalography (EEG), submental electromyography (EMG), electrooculography
(EOG), leg EMG, and electrocardiography (ECG) recordings were obtained. In addition,
air-flow was measured using both a nasal cannula (NC) and a nasal thermistor, oxygen
saturation (SaO2) was measured by a pulse oximeter, and chest and abdominal
respiratory movements were monitored. A decrease in oxygen saturation of less than 4% or
the occurrence of symptoms of physiologic awakening following at least a 30% reduction
in air flow for a minimum of 10 seconds, was defined as hypopnea. Individuals with an
apnea hypopnea index (AHI) ≥5 were diagnosed as OSAHS and were graded according to the
following AHI values: mild, 5≤AHI<15; moderate, 15≤AHI<30; severe, AHI≥30.
Patients who had an AHI<5 were included as control subjects.
Ophthalmic examinations were conducted, including best-corrected visual acuity,
slit-lamp biomicroscopy, Goldman applanation tonometry, automated visual field (VF)
examination, and fundoscopy. All patients had a best-corrected visual acuity of 20/20 or
higher. Exclusion criteria included a history of chronic or recurrent inflammatory eye
diseases (e.g., scleritis, uveitis), other confounding chorioretinal pathologies, any
abnormality preventing reliable applanation tonometry, signs of glaucoma, a history of
intraocular trauma, unstable and uncontrolled cardiovascular, renal, or pulmonary
diseases, diabetes, pregnancy, and spherical and cylindrical refractive errors of more
than ± 3.0 diopters. We reviewed the medical records and OCT images of patients who were
especially examined for retinal nerve fiber layer (RNFL) defects in relation with
glaucoma, and a macular OCT scan was performed in order to exclude other
pathologies.
OCT images were obtained in the EDI mode of a spectral domain OCT (Spectralis,
Heidelberg Engineering, Heidelberg, Germany). For EDI-OCT, foveal-centered vertical and
horizontal two line scans were performed in an assay of 100 frames, 30°, and high
resolution (HR). SFCT was calculated by obtaining mean measurements of the vertical and
horizontal scans thicknesses. The choroidal thickness was manually measured via the
software in the OCT device with magnified images (× 200). The distance from the
hyperreflective line at the base of the retina pigment epithelium layer to the
hyporeflective line in the outer sclerochoroidal interface was accepted as the choroidal
thickness (Figure 1). When necessary, contrast
assays were altered to obtain improved images of the choroidal layer. Pupils were not
dilated for the test. Recordings with a quality (Q) below 20 were excluded. Choroidal
thickness evaluations were performed by a single examiner (MO) who was blinded to
patient diagnoses. The left eye of each patient was tested if not accompanied by
exclusion criteria.
Figure 1
Measurements of subfoveal choroidal thickness using the EDI mode of spectral
domain OCT (Spectralis, Heidelberg Engineering, Heidelberg, Germany). A) A mild
OSAHS patient; B) A moderate OSAHS patient; C) A severe OSAHS patient.
Statistical analysis
Data were analyzed using IBM SPSS; version 13.0 for Windows (SPSS Inc., Chicago,
Illinois, U.S.). Continuous variables were presented: average, standard deviation,
and median [interquartile range]. We performed two separate analyses. First, patients
were divided into four groups; without OSAHS (control), mild OSAHS, moderate OSAHS,
and severe OSAHS. Second, to determine whether OSAHS severity influenced the SFCT, we
divided the patients into three groups; without OSAHS (control), mild OSAHS, and
moderate/severe OSAHS (15≤AHI). After the assessment of normality assumption, we used
one-way analysis of variance (ANOVA) to analyze the differences in measurement values
between the groups. The Bonferroni correction was applied when necessary for multiple
comparisons. P<0.017 was considered to be significant after Bonferroni correction.
The Mann-Whitney U test and Kruskal-Wallis test were used to analyze the BMI and AHI
values. The correlation between AHI and SFCT was evaluated using the Spearman's
correlation test, and the correlation between age and SFCT was evaluated using
Pearson's correlation coefficient test. A Paired-samples t-test was used to compare
horizontal and vertical line scan SFCT measurements. P<0.05 was regarded as
statistically significant.
RESULTS
The recordings of 62 patients were assessed and 13 (20%) were excluded from the study.
Of these, five were excluded because of diabetic retinopathy, three because of glaucoma,
two because of high spherical and astigmatic refraction, and the other three because of
age-related macular degeneration, amblyopia, and OSAHS treatment. Thus, a total of 49
subjects were included in the study, of which 35 were OSAHS patients and 14 were
non-OSAHS controls. Patients were divided into four groups according to the AHI: control
group, 14 patients (AHI<5); mild OSAHS group, 15 patients (AHI 5-15); moderate OSAHS
group, 11 patients (AHI 15-30); and severe OSAHS group, 9 patients (AHI≥30). Patient
ages and intraocular pressures (IOP) between the groups were not significantly different
(P=0.544 and 0.995, respectively). Table 1 summarizes the patients' demographic data. Despite a slight, but not
significant, chorodial thinning observed in the severe group, the SFCT values between
the control and severe groups, mild and severe groups, and moderate and severe groups,
revealed no significant differences (P=0.09, 0.04, and 0.87,
respectively; Bonferroni correction P<0.017; table 2). The moderate and severe groups were then merged and a
second statistical analyses was performed. Again, no significant differences in age or
IOP values was found between the groups (P=0.400 and 0.984,
respectively). The mean subfoveal choroidal thickness was 314.5 ± 83.3 μm in the control
group, 324.5 ± 6 μm in the mild group, and 267 ± 52.8 μm in the moderate/severe group
(Table 3). The difference between the SFCT
values of the control and mild groups was not statistically significant
(P=0.693). However, the difference between the SFCT values of the
control and moderate/severe groups approached significance (P=0.05),
and SFCT of the mild group was significantly thinner than that of the moderate/severe
group (P=0.016) (Table 3). In
addition, we found a negative correlation between SFCT and AHI in OSAHS patients
(r=0.368, P=0.033). Also, our results show a
statistically significant negative correlation between patient age and SFCT
(r=0.422, P=0.003). We did not find a significant
difference in the SFCT measurements of the horizontal and vertical line scans
(P=0.683).
Table 1
Demographic data of controls and OSAHS patients according to the AHI
Mean ± standard deviation median (interquartile
range)
Control
Mild OSAHS
Moderate OSAHS
Severe OSAHS
p-value*
Number of patients
14
15
11
9
Age (years)
43.4 ± 9.5
45.4 ± 6.7
46.6 ± 9.5
48.8 ± 9.7
ap=0.544
Sex
Male
2
6
8
6
Female
12
9
3
3
IOP (mmHg)
14.9 ± 2.2
14.9 ± 2.5
15.1 ± 1.6
14.9 ± 2.3
ap=0.995
15 (3)
15 (2)
15 (1)
15 (4)
BMI (kg/m2)
29.7 ± 3.9
30.9 ± 4.7
30.7 ± 8.4
35.2 ± 3.3
bp<0.050
28.7 (4)
29.7 (7.1)
28.9 (13.5)
35.9 (5.9)
AHI (hours)
2.1 ± 1
8.6 ± 3.2
19.9 ± 2.9
64.5 ± 27.3
bp<0.001
1.8 (1.6)
7.6 (4.9)
20.2 (4.2)
59.2 (42.4)
AHI= apnea-hypopnea index; OSAHS= obstructive sleep apnea/hypopnea syndrome;
BMI= body mass index; IOP= intraocular pressure.
*
= ap- ANOVA; bp- Kruskal Wallis test.
Table 2
Comparison of SFCT (μm) measurements between control, mild (5≤AHI<15),
moderate (15≤AHI<30) and severe (AHI≥30) OSAHS patients
Mean ± standard deviation
Control
Mild OSAHS
Moderate OSAHS
Severe OSAHS
p-value*
Subfoveal choroidal thickness
314.5 ± 83.3
324.5 ± 69
269.3 ± 60.4
264.3 ± 45.2
0.08
AHI= apnea-hypopnea index; OSAHS= obstructive sleep apnea/hypopnea syndrome;
SFCT= subfoveal choroidal thickness.
*
= ANOVA.
Table 3
Comparison of SFCT (μm) measurements between controls, mild and
Moderate/Severe OSAHS patients
Mean ± standard deviation
Control
Mild OSAHS
Moderate/severe OSAHS patients
p-value *
Subfoveal choroidal thickness
314.5 ± 83.3
324.5 ± 6
267 ± 52.8
p=0.033
OSAHS= obstructive sleep apnea/hypopnea syndrome; SFCT= subfoveal choroidal
thickness.
*
= ANOVA.
DISCUSSION
In this study, we evaluated the SFCT of patients suffering from OSAHS, which is
associated with intermittent upper airway obstruction during sleep. We found that the
SFCT measurements of the moderate/ severe OSAHS group were significantly lower than the
mild OSAHS group and were nearly significantly lower than the control group. We also
observed a negative correlation between AHI and SFCT, and between age and SFCT, in
patients with OSAHS.
The choroid is a microcirculatory vascular structure and its thickness and blood flow
depend on the perfusion pressure, intraocular pressure, nitric oxide production,
endogenous catecholamines, and vascular autoregulation(15-18).
The subfoveal region is the thickest part of the choroid and it provides for the needs
of the fovea, which has the highest photoreceptor density and metabolic
activity(19).
Stable choroidal layer perfusion pressure is associated with vascular resistance
controlled by the sympathetic nervous system(20). Released from the vascular endothelium, endothelin-1 and
nitric oxide (NO) also play a role in the adaptation of choroidal vascular
resistance(18,21,22). The choroidal layer has the ability to regulate ocular
perfusion pressure (which is 67% above baseline)(21,23).
It has been shown that stable perfusion is produced by ocular
vasoconstriction(20).
This autoregulation is very important for outer retinal oxygenation and the control of
macular temperature.
There is some evidence that the metabolic effects of OSAHS lead to the activation of
oxidative stress, endothelial dysfunction, pro-inflammatory agent secretions, and
adrenergic system induction(24). Also, OSAHS may result in a poorer response to metabolic
stress conditions. However, Khayi et al. demonstrated that in OSAHS patients, choroidal
blood flow is appropriately autoregulated when ocular perfusion pressure is increased by
exercise(25). Recently,
several studies have reported that OSAHS is associated with central serous
chorioretinopathy, glaucomatous optic neuropathy, and ischemic optic
neuropathy(7-9). OSAHS and central serous
chorioretinopathy share a similar etiopathogenesis, including stress and an
overproduction of catecholamines and inflammatory agents, which can affect choroidal
regulation(11). In
patients with central serous chorioretinopathy, EDI-OCT has demonstrated an association
with a thicker subfoveal choroidal layer(7).
In addition, an association between a diagnosis of OSAHS and an increased risk of open
angle glaucoma has previously been demonstrated(26), and it has also been shown that RNFL thickness is
reduced in OSAHS patients, even though there are no visual field
defects(27). Also, the
subclinical progression of ischemic optic neuropathy may be associated with choroidal
layer pathology. It has previously been suggested that the association between OSAHS and
ocular disease is due to the OSAHS-induced metabolic effect of hypoxemia on systemic and
local ocular vascular dysregulation(7-9). The signs
of these metabolic effects on the choroidal layer may prove to be valuable for the risk
evaluation of ocular diseases, and in their follow up.
The results of our study are consistent with those of Xin et al., who showed that the
SFCT of a severe OSAHS group was significantly thinner than that of a control group and
mild and moderate OSAHS groups. SFCT difference between our moderate/severe group and
control group approached significance. This might be due to the origin of the control
group that has some suspicious symptoms related with possible sleep disorders, and the
small number of subjects. Also, this study revealed a negative correlation between AHI
severity and SFCT(28).
However, OSAHS is a risk factor for central serous chorioretinopathy etiology, which has
been reported to accompany subfoveal choroidal effusion(7). Khayi et al., suggest that the regulation of ocular
blood flow, which partially depends on the sympathetic and parasympathetic systems, is
not altered without comorbidities associated with OSAHS(25). However, it has been shown that there is an
increased risk of cardiovascular and pulmonary diseases in OSAHS
patients(29). An
increased risk of glaucoma in OSAHS patients may also be associated with additional
pathologies that are compatible with the vascular theory of glaucoma. Apneas involving
hypoxia and low systemic diastolic tensions may affect ocular perfusion and oxygenation,
particularly in the presence of accompanying pathologies such as anemia and
cardiovascular and pulmonary diseases. It is evident that further prospective studies
are needed, especially relating to ischemic optic pathologies and OSAHS.
EDI, a new feature of OCT, has allowed us to accurately assess the choroidal layer
structure in vivo. We measured subfoveal choroidal thickness manually with spectralis
OCT, and we concede that the manual nature of the measurements has the potential to
result in errors. However, there is no available software to provide automatic
measurements. We found no statistical difference between vertical and horizontal line
scan measures of the same location, which verifies the accuracy of our measurements
(P>0.05). As further support for our measurement results, studies have been published
that show a high reproducibility and repeatability of manual measurements of choroidal
thickness(30).
Additionally, we paid special attention to select patients who had good choroidal layer
images, which strengthened the measurement reliabilities.
This study has some important limitations. It was a retrospective study of a small
sample size, particularly after the OSAHS patients had been divided into subgroups
according to their severity. In addition, choroidal thickness grading was only performed
by one examiner, and we were not able to determine the smoking habits of the patients.
Furthermore, OSAHS duration, which has been shown to influence vascular autoregulation
ability(31), was
unknown. Another limitation was that our control group was not symptom-free, so they
were required to undergo a standard overnight polysomnography. This was important in
order to determine the presence/absence and severity of sleep apnea/hyponea. However, it
may also have resulted in an unexpected selection bias.
CONCLUSION
SFCT was significantly thinner in patients with moderate/severe OSAHS than in patients
with mild OSAHS. The AHI was negatively correlated with SFCT of all OSAHS patients. Our
results suggest that vascular changes associated with OSAHS can be evaluated by
measuring SFCT, via noninvasive EDI-OCT. Further studies are needed to determine more
accurately whether there is a relationship between clinical grades of OSAHS and
choroidal thickness.
Funding: No specific financial support was available for this study.
Study conducted at Canakkale Onsekiz Mart University School of Medicine and Konya
Training and Research Hospital.
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Autoria
Selcuk Kara Corresponding author: Selcuk Kara. Canakkale Onsekiz Mart
University, School of Medicine, Department of Ophthalmology - Canakkale, Turkey -
E-mail: selckara@gmail.com
Department of Ophthalmology, Canakkale Onsekiz Mart
University School of Medicine, Canakkale, Turkey.Canakkale Onsekiz Mart UniversityTurkeyCanakkale, TurkeyDepartment of Ophthalmology, Canakkale Onsekiz Mart
University School of Medicine, Canakkale, Turkey.
Muammer Ozcimen
Department of Ophthalmology, Konya Training and
Research Hospital, Meram, Konya, Turkey.Konya Training and Research HospitalTurkeyKonya, TurkeyDepartment of Ophthalmology, Konya Training and
Research Hospital, Meram, Konya, Turkey.
Taha Tahir Bekci
Department of Pulmonary Medicine, Konya Training
and Research Hospital, Konya, TurkeyKonya Training and Research HospitalTurkeyKonya, TurkeyDepartment of Pulmonary Medicine, Konya Training
and Research Hospital, Konya, Turkey
Yasar Sakarya
Department of Ophthalmology, Konya Training and
Research Hospital, Meram, Konya, Turkey.Konya Training and Research HospitalTurkeyKonya, TurkeyDepartment of Ophthalmology, Konya Training and
Research Hospital, Meram, Konya, Turkey.
Baran Gencer
Department of Ophthalmology, Canakkale Onsekiz Mart
University School of Medicine, Canakkale, Turkey.Canakkale Onsekiz Mart UniversityTurkeyCanakkale, TurkeyDepartment of Ophthalmology, Canakkale Onsekiz Mart
University School of Medicine, Canakkale, Turkey.
Hasan Ali Tufan
Department of Ophthalmology, Canakkale Onsekiz Mart
University School of Medicine, Canakkale, Turkey.Canakkale Onsekiz Mart UniversityTurkeyCanakkale, TurkeyDepartment of Ophthalmology, Canakkale Onsekiz Mart
University School of Medicine, Canakkale, Turkey.
Sedat Arikan
Department of Ophthalmology, Canakkale Onsekiz Mart
University School of Medicine, Canakkale, Turkey.Canakkale Onsekiz Mart UniversityTurkeyCanakkale, TurkeyDepartment of Ophthalmology, Canakkale Onsekiz Mart
University School of Medicine, Canakkale, Turkey.
Corresponding author: Selcuk Kara. Canakkale Onsekiz Mart
University, School of Medicine, Department of Ophthalmology - Canakkale, Turkey -
E-mail: selckara@gmail.com
Disclosure of potential conflicts of interest: None of the authors
have any potential conflicts of interest to disclose.
SCIMAGO INSTITUTIONS RANKINGS
Department of Ophthalmology, Canakkale Onsekiz Mart
University School of Medicine, Canakkale, Turkey.Canakkale Onsekiz Mart UniversityTurkeyCanakkale, TurkeyDepartment of Ophthalmology, Canakkale Onsekiz Mart
University School of Medicine, Canakkale, Turkey.
Department of Ophthalmology, Konya Training and
Research Hospital, Meram, Konya, Turkey.Konya Training and Research HospitalTurkeyKonya, TurkeyDepartment of Ophthalmology, Konya Training and
Research Hospital, Meram, Konya, Turkey.
Department of Pulmonary Medicine, Konya Training
and Research Hospital, Konya, TurkeyKonya Training and Research HospitalTurkeyKonya, TurkeyDepartment of Pulmonary Medicine, Konya Training
and Research Hospital, Konya, Turkey
Figure 1
Measurements of subfoveal choroidal thickness using the EDI mode of spectral
domain OCT (Spectralis, Heidelberg Engineering, Heidelberg, Germany). A) A mild
OSAHS patient; B) A moderate OSAHS patient; C) A severe OSAHS patient.
Table 3
Comparison of SFCT (μm) measurements between controls, mild and
Moderate/Severe OSAHS patients
imageFigure 1
Measurements of subfoveal choroidal thickness using the EDI mode of spectral
domain OCT (Spectralis, Heidelberg Engineering, Heidelberg, Germany). A) A mild
OSAHS patient; B) A moderate OSAHS patient; C) A severe OSAHS patient.
open_in_new
table_chartTable 1
Demographic data of controls and OSAHS patients according to the AHI
Mean ± standard deviation median (interquartile
range)
table_chartTable 2
Comparison of SFCT (μm) measurements between control, mild (5≤AHI<15),
moderate (15≤AHI<30) and severe (AHI≥30) OSAHS patients
Mean ± standard deviation
Control
Mild OSAHS
Moderate OSAHS
Severe OSAHS
p-value*
Subfoveal choroidal thickness
314.5 ± 83.3
324.5 ± 69
269.3 ± 60.4
264.3 ± 45.2
0.08
table_chartTable 3
Comparison of SFCT (μm) measurements between controls, mild and
Moderate/Severe OSAHS patients
Mean ± standard deviation
Control
Mild OSAHS
Moderate/severe OSAHS patients
p-value *
Subfoveal choroidal thickness
314.5 ± 83.3
324.5 ± 6
267 ± 52.8
p=0.033
Como citar
Kara, Selcuk et al. Avaliação da espessura da coroide em pacientes com síndrome da apnéia/hipopnéia obstrutiva do sono. Arquivos Brasileiros de Oftalmologia [online]. 2014, v. 77, n. 5 [Acessado 9 Abril 2025], pp. 280-284. Disponível em: <https://doi.org/10.5935/0004-2749.20140071>. Epub Sep-Oct 2014. ISSN 1678-2925. https://doi.org/10.5935/0004-2749.20140071.
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