Carolina Bernal-Morales

Dr. Carolina Bernal-Morales

orcid

Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 July 2022 in Survey of Ophthalmology
Verified
Journal Article
Closed access
GKGagan Kalra
Gagan Kalra
JZJavier Zarranz-Ventura
Javier Zarranz-Ventura
RCRutvi Chahal
Rutvi Chahal
CBCarolina Bernal-Morales
Carolina Bernal-Morales
MLMarco Lupidi
Marco Lupidi
Jay ChhablaniJay Chhablani
Jay Chhablani

18 January 2022 in Eye
Verified
Journal Article
Closed access
PDF file
MIMatias Iglicki
Matias Iglicki
CBCatharina Busch
Catharina Busch
PLPaolo Lanzetta
Paolo Lanzetta
VSValentina Sarao
Valentina Sarao
DVDaniele Veritti
Daniele Veritti
DZDinah Zur
Dinah Zur

30 December 2021 in Journal of Clinical Medicine
Verified
Journal Article
Open access
PDF file
AAAnibal Alé-Chilet
Anibal Alé-Chilet
CBCarolina Bernal-Morales
Carolina Bernal-Morales
MBMarina Barraso
Marina Barraso
THTeresa Hernández
Teresa Hernández
COCristian Oliva
Cristian Oliva
JZJavier Zarranz-Ventura
Javier Zarranz-Ventura
The purpose of this study is to investigate potential associations between optical coherence tomography angiography (OCTA) parameters and diabetic kidney disease (DKD) categories in type 1 diabetes mellitus (T1DM) patients and controls. A complete ocular and systemic examination, including OCTA imaging tests and bloods, was performed. OCTA parameters included vessel density (VD), perfusion density (PD), foveal avascular zone area (FAZa), perimeter (FAZp) and circularity (FAZc) in the superficial vascular plexus, and DKD categories were defined according to glomerular filtration rate (GFR), albumin-creatinine ratio (ACR) and KDIGO prognosis risk classifications. A total of 425 individuals (1 eye/1 patient) were included. Reduced VD and FAZc were associated with greater categories of GFR (p = 0.002, p = 0.04), ACR (p = 0.003, p = 0.005) and KDIGO risk prognosis classifications (p = 0.002, p = 0.005). FAZc was significantly reduced in greater KDIGO prognosis risk categories (low risk vs. moderate risk, 0.65 ± 0.09 vs. 0.60 ± 0.07, p < 0.05). VD and FAZc presented the best diagnostic performance in ROCs. In conclusion, OCTA parameters, such as VD and FAZc, are able to detect different GFR, ACR, and KDIGO categories in T1DM patients and controls in a non-invasive, objective quantitative way. FAZc is able to discriminate within T1DM patients those with greater DKD categories and greater risk of DKD progression.

10 January 2023 in British Journal of Ophthalmology
Verified
Journal Article
Closed access
PDF file
RMRubén Martín
Rubén Martín
JIJordi Izquierdo-Serra
Jordi Izquierdo-Serra
SZSandro De Zanet
Sandro De Zanet
APAlba Parrado-Carrillo
Alba Parrado-Carrillo
GAGonzaga Garay Aramburu
Gonzaga Garay Aramburu
JZJavier Zarranz-Ventura
Javier Zarranz-Ventura
Aim To explore associations between artificial intelligence (AI)-based fluid compartment quantifications and 12 months visual outcomes in OCT images from a real-world, multicentre, national cohort of naïve neovascular age-related macular degeneration (nAMD) treated eyes. Methods Demographics, visual acuity (VA), drug and number of injections data were collected using a validated web-based tool. Fluid compartment quantifications including intraretinal fluid (IRF), subretinal fluid (SRF) and pigment epithelial detachment (PED) in the fovea (1 mm), parafovea (3 mm) and perifovea (6 mm) were measured in nanoliters (nL) using a validated AI-tool. Results 452 naïve nAMD eyes presented a mean VA gain of +5.5 letters with a median of 7 injections over 12 months. Baseline foveal IRF associated poorer baseline (44.7 vs 63.4 letters) and final VA (52.1 vs 69.1), SRF better final VA (67.1 vs 59.0) and greater VA gains (+7.1 vs +1.9), and PED poorer baseline (48.8 vs 57.3) and final VA (55.1 vs 64.1). Predicted VA gains were greater for foveal SRF (+6.2 vs +0.6), parafoveal SRF (+6.9 vs +1.3), perifoveal SRF (+6.2 vs −0.1) and parafoveal IRF (+7.4 vs +3.6, all p<0.05). Fluid dynamics analysis revealed the greatest relative volume reduction for foveal SRF (−16.4 nL, −86.8%), followed by IRF (−17.2 nL, −84.7%) and PED (−19.1 nL, −28.6%). Subgroup analysis showed greater reductions in eyes with higher number of injections. Conclusion This real-world study describes an AI-based analysis of fluid dynamics and defines baseline OCT-based patient profiles that associate 12-month visual outcomes in a large cohort of treated naïve nAMD eyes nationwide.

25 August 2021 in Diagnostics
Verified
Journal Article
Open access
PDF file
CBCarolina Bernal-Morales
Carolina Bernal-Morales
AAAnibal Alé-Chilet
Anibal Alé-Chilet
RMRubén Martín
Rubén Martín
MBMarina Barraso
Marina Barraso
THTeresa Hernández
Teresa Hernández
JZJavier Zarranz-Ventura
Javier Zarranz-Ventura
The purpose of this study was to evaluate specifically the relationship between glycated haemoglobin (HbA1c) levels and retinal optical coherence tomography (OCT) and OCT angiography (OCTA) parameters in type 1 Diabetes Mellitus (DM). A total of 478 type 1 DM patients and 115 controls were included in a prospective OCTA trial (ClinicalTrials.gov NCT03422965). Subgroup analysis was performed for controls, no diabetic retinopathy (DM-no DR) and DR patients (DM-DR), and HbA1c levels. OCT and OCTA measurements were compared with HbA1c levels (current and previous 5 years). DM-no DR patients with HbA1c levels >7.5% showed lower VD than DM-DR and controls (20.16 vs. 20.22 vs. 20.71, p < 0.05), and showed a significant correlation between HbA1c levels and FAZc (p = 0.04), after adjusting for age, gender, signal strength index, axial length, and DM disease duration. DM-DR patients with HbA1c > 7.5% presented greater CRT than DM-no DR and controls (270.8 vs. 260 vs. 251.1, p < 0.05) and showed a significant correlation between HbA1c and CRT (p = 0.03). In conclusion, greater levels of HbA1c are associated with OCTA changes in DM-no DR patients, and with structural OCT changes in DM-DR patients. The combination of OCTA and OCT measurements and HbA1c levels may be helpful to identify patients at risk of progression to greater stages of the diabetic microvascular disease.

8 March 2021 in Eye
Verified
Journal Article
Closed access
PDF file
CBCarolina Bernal-Morales
Carolina Bernal-Morales
DVDaniel Velazquez-Villoria
Daniel Velazquez-Villoria
JCJuan Manuel Cubero-Parra
Juan Manuel Cubero-Parra
PKPearse Keane
Pearse Keane
DSDawn A. Sim
Dawn A. Sim
JZJavier Zarranz-Ventura
Javier Zarranz-Ventura