Pedro Romero‐Aroca

ORCID: 0000-0002-7061-8987
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About
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Research Areas
  • Retinal Imaging and Analysis
  • Retinal Diseases and Treatments
  • Glaucoma and retinal disorders
  • Retinal and Optic Conditions
  • Intraocular Surgery and Lenses
  • Artificial Intelligence in Healthcare
  • Chronic Kidney Disease and Diabetes
  • Ocular Diseases and Behçet’s Syndrome
  • Retinal and Macular Surgery
  • Ocular Infections and Treatments
  • Blood Pressure and Hypertension Studies
  • Diabetes, Cardiovascular Risks, and Lipoproteins
  • Imbalanced Data Classification Techniques
  • Acute Ischemic Stroke Management
  • Cerebral Venous Sinus Thrombosis
  • Renal and Vascular Pathologies
  • Drug-Induced Ocular Toxicity
  • Digital Imaging for Blood Diseases
  • Corneal surgery and disorders
  • Retinal Development and Disorders
  • Facial Trauma and Fracture Management
  • Data Mining Algorithms and Applications
  • Diabetes Treatment and Management
  • Ocular Surface and Contact Lens
  • Traumatic Ocular and Foreign Body Injuries

Institut d'Investigació Sanitària Pere Virgili
2015-2024

Hospital Universitari Sant Joan de Reus
2015-2024

Universitat Rovira i Virgili
2014-2024

Hospital Sant Joan de Déu Barcelona
2020-2021

Hospital Universitari de Vic
2019

Hôpital Ambroise-Paré
2017

Hôpital Orthopédique de la Suisse Romande
2016

University of Lausanne
2016

Centro de Investigación Biomédica en Red
2015

Universitat Autònoma de Barcelona
2015

Diabetic macular edema (DME) is the leading cause of blindness in young adults developed countries, affecting 12% type 1 and 28% 2 diabetic patients.The gold standard DME treatment should be based on a good control glycemia along with lipids renal function.However, despite systemic metabolic values being essential for patients retinopathy (DR), it has proven to insufficient if appears.With these patients, additional measures are needed order avoid subsequent loss vision.While laser been only...

10.4239/wjd.v2.i6.98 article EN cc-by-nc World Journal of Diabetes 2011-01-01

To determine the incidence of any diabetic retinopathy (any-DR), sight-threatening (STDR) and macular oedema (DMO) their risk factors in type 1 diabetes mellitus (T1DM) over a screening programme.

10.1136/bjophthalmol-2016-310063 article EN cc-by-nc British Journal of Ophthalmology 2017-03-07

To determine the prevalence of microangiopathy, and its risk factors in a population-based study diabetes mellitus patients north-eastern area Spain.A transversal 8,187 type 2 (83.37% diagnosed patients) 488 1 (85.76% underwent detailed medical history that included: diagnoses diabetic retinopathy, macular edema, microalbuminuria or overt nephropathy. A factors, relationship between retinopathy renal lesion was performed.In we observed 36.47% 5.73% with edema; 26.11% 6.44% edema....

10.3109/09286586.2010.498661 article EN Ophthalmic Epidemiology 2010-07-19

Aims. To determine the relationship between diabetic nephropathy and retinopathy on a population of type 2 diabetes mellitus patients. Methods. A prospective ten-year follow-up population-based study. We determined differences estimated glomerular filtration rate (eGFR) using chronic kidney disease epidemiology collaboration equation urine albumin to creatinine ratio. Results. Annual incidence any-DR was 8.21 ± 0.60% (7.06%–8.92%), sight-threatening (STDR) 2.65 0.14% (2.48%–2.88%), macular...

10.1155/2018/5637130 article EN cc-by Journal of Diabetes Research 2018-01-01

<h3>Background/aims</h3> To determine the changes in incidence of diabetic retinopathy (DR), macular oedema (DMO) and their risk factors a population-based study patients with diabetes mellitus (DM) referred to our 16 Primary Health Care Areas (HCAs). <h3>Methods</h3> Prospective total 15 396 Caucasian DM, who represent 86.53% DM HCAs, were studied over an 8-year follow-up period. All screened mean 3.18±1.11 times for each patient 8 years. <h3>Results</h3> The yearly value any DR was...

10.1136/bjophthalmol-2015-307689 article EN cc-by-nc British Journal of Ophthalmology 2016-01-14

To evaluate the efficacy of prophylactic intracameral cefazolin in preventing endophthalmitis cataract surgery.Service Ophthalmology, St. Joan Hospital, Reus, Spain.In this noncontrolled retrospective observational study, all patients had uncombined surgery from January 2001 to December 2004. All cases postoperative were related. The classified into 2 groups. first (n = 3650) between and 2002, second 3618) 2003 2004; group received a bolus instilled at end surgery.The rate was lower with...

10.1016/j.jcrs.2005.12.135 article EN Journal of Cataract & Refractive Surgery 2006-03-01

To determine the incidence of diabetic retinopathy (DR) progression after phacoemulsification in patients with type II diabetes.Service Ophthalmology, University Sant Joan, Barcelona, Spain.This prospective study evaluated 132 diabetes mellitus who had monocular phacoemulsification. A control group comprised patients' contralateral eyes. Data analysis included preoperative retinal findings and DR status; hemoglobin A1c (HbA1c), low-density lipoprotein cholesterol, triglycerides levels;...

10.1016/j.jcrs.2006.03.039 article EN Journal of Cataract & Refractive Surgery 2006-08-25

Prospective, population-based study of an 8-year follow up. To determine the direct cost diabetic retinopathy [DR], evaluating our screening programme and treating DR, focusing on macular oedema [DMO] after anti-vascular endothelial growth factor [anti-VEGF] treatment.A total 15,396 diabetes mellitus [DM] patients were studied. We determined cost-effectiveness against annual by applying Markov simulation model. also compared anti-VEGF treatment to laser for screened with DMO.The 2.5-year was...

10.1186/s12886-016-0318-x article EN cc-by BMC Ophthalmology 2016-08-04

To evaluate the safety and efficacy of a dexamethasone (DEX) intravitreal implant for diabetic macular edema (DME).

10.18240/ijo.2018.01.14 article EN cc-by-nc-nd International Journal of Ophthalmology 2018-01-10

Background: The aim of the present study was to test our deep learning algorithm (DLA) by reading retinographies. Methods: We tested DLA built on convolutional neural networks in 14,186 retinographies from population and 1200 images extracted MESSIDOR. retinal were graded both independently four retina specialists. Results compared according accuracy (ACC), sensitivity (S), specificity (SP), positive predictive value (PPV), negative (NPV), area under receiver operating characteristic curve...

10.3390/diagnostics11081385 article EN cc-by Diagnostics 2021-07-31

This study aimed to evaluate the predictive value of diabetic retinopathy (DR) and its stages with incidence major cardiovascular events all-cause mortality in type 2 diabetes mellitus (T2DM) persons our large primary healthcare database from Catalonia (Spain). A retrospective cohort pseudo-anonymized routinely collected health data SIDIAP was conducted 2008 2016. We calculated rates [coronary heart disease (CHD), stroke, or both-macrovascular events] for subjects without DR different DR....

10.3389/fmed.2022.945245 article EN cc-by Frontiers in Medicine 2022-08-16

10.1016/s1056-8727(03)00038-2 article EN Journal of Diabetes and its Complications 2004-06-21

To evaluate results after seven years using prophylactic intracameral cefazolin for the prevention of endophthalmitis in cataract surgery.A prospective, observational study all patients submitted to surgery over period January 1996 December 2009. All cases postoperative that were reviewed. The classified two groups: Group 1 (11,696 patients) operated on between and 2002, 2 (13,305 2003 2009 (in whom a mg/0.1 bolus was instilled).During period, 76 observed 1, 2. rate reduced from 0.63% 0.05%...

10.1186/1471-2415-12-2 article EN cc-by BMC Ophthalmology 2012-01-24

Background:The aim of this study was to build a clinical decision support system (CDSS) in diabetic retinopathy (DR), based on type 2 diabetes mellitus (DM) patients. Method:We built CDSS from sample 2,323 patients, divided into training set 1,212 and testing 1,111 The is fuzzy random forest, which trees. A tree hierarchical data structure that classifies patient several classes some level, depending the values presents attributes related DR risk factors. Each node an attribute, each branch...

10.1089/tmj.2017.0282 article EN other-oa Telemedicine Journal and e-Health 2018-02-21
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