Risk Factors for Recurrent Vitreous Hemorrhage in Type 2 Diabetes Mellitus Patients after Posterior Vitrectomy.
Marc Baget-BernaldizRomero-Aroca PedroAlejandra Mira-PuertoAngel Bautista-PerezImmaculada Roca-BorrutMontse VizcarroRaul Navarro-GilMonica Llagostera-SerraPublished in: Journal of clinical medicine (2023)
(Background) The aim of this study was to determine the factors related to recurrent vitreous hemorrhage (RVH) in a sample of proliferative diabetic retinopathy (PDR) patients. (Methods) This was a retrospective, review-based study. We studied 183 eyes from 121 type 2 diabetes patients with PDR. We recorded the duration of diabetes, history of hypertension, retinal photocoagulation status, posterior vitreous status, mean HbA1c and hemoglobin levels, renal function, and systemic complications associated with diabetes. We also recorded surgical variables-the presence of tractional retinal detachment, the application of segmentation and diathermy on fibrovascular proliferative tissue, and the use of silicone oil-to study which independent variables were significantly related to the presence of RVH. (Results) The duration of diabetes ( p = 0.028), hemoglobin level ( p = 0.02), status of the posterior vitreous ( p = 0.03), retinal photocoagulation status ( p = 0.002), and the presence of tractional retinal detachment ( p = 0.03) were significantly associated with the presence of RVH. On the other hand, the use of diathermy was associated with fewer RVH events ( p < 0.005). In addition, patients with diabetic polyneuropathy, myocardial infarction, and ischemia in the lower limbs exhibited more vitreous hemorrhage events ( p < 0.001). (Conclusions) Patients with PDR and a longer diabetes duration, anemia, attached posterior vitreous, deficient retinal photocoagulation, and prior cardiovascular events were more prone to RVH.
Keyphrases
- diabetic retinopathy
- type diabetes
- optical coherence tomography
- cardiovascular disease
- glycemic control
- end stage renal disease
- cardiovascular events
- chronic kidney disease
- ejection fraction
- newly diagnosed
- coronary artery disease
- heart failure
- prognostic factors
- peritoneal dialysis
- blood pressure
- adipose tissue
- machine learning
- left ventricular
- fatty acid
- deep learning
- optic nerve
- risk factors
- patient reported
- weight loss
- solid state