Nomogram-based prediction of clinically significant macular edema in diabetes mellitus patients

AIMS

The aim of the study was to construct and validate a risk nomogram for clinically significant macular edema (CSME) prediction in diabetes mellitus (DM) patients using systemic variables.

METHODS

In this retrospective study, DM inpatients who underwent routine diabetic retinopathy screening were recruited and divided into training and validation sets according to their admission date. Ninety-three demographic and systemic variables were collected. The least absolute shrinkage and selection operator was used to select the predictive variables from the training set. The selected variables were used to construct the CSME prediction nomogram. Internal and external validations were performed. The C-index, calibration curve and decision curve analysis (DCA) were reported.

RESULTS

A total of 349 patients were divided into the training set (240, 68.77%) and the validation set (109, 31.23%). The presence of diabetic peripheral neuropathy (DPN) symptoms, uric acid, use of insulin only or not for treatment, insulin dosage, urinary protein grade and disease duration were chosen for the nomogram. The C-index of the prediction nomogram was 0.896, 0.878 and 0.837 in the training set, internal validation and external validation, respectively. The calibration curves of the nomogram showed good agreement between the predicted and actual outcomes. DCA demonstrated that the nomogram was clinically useful.

CONCLUSIONS

A nomogram with good performance for predicting CSME using systemic variables was developed. It suggested that DPN symptoms and renal function may be crucial risk factors for CSME. Moreover, this nomogram may be a convenient tool for non-ophthalmic specialists to rapidly recognize CSME in patients and to transfer them to ophthalmologists for early diagnosis and treatment.

The Burden of Macular Diseases in Central and Eastern Europe-Implications for Healthcare Systems

BACKGROUND

Despite the significant impact of retinal diseases such as wet age-related macular degeneration (wAMD) and diabetic macular edema (DME), there is a limited understanding of how these conditions are managed in Central and Eastern Europe (CEE).

OBJECTIVES

To provide a comprehensive overview of the clinical and economic burden of wAMD and DME in CEE and the status quo associated with their management.

METHODS

A narrative literature review was undertaken to identify existing data on wAMD and DME, including epidemiology, economic burden, clinical guidelines, and available and reimbursed treatments. Data were collected from relevant sources such as PubMed, ophthalmology associations, national statistical offices, and government agency websites; practical viewpoints were provided by local ophthalmologists and healthcare economics experts in CEE.

RESULTS

Epidemiological data on wAMD and DME are limited in CEE, and intercountry comparison is difficult because of differences in data collection methodologies. There are effective treatment options for wAMD and DME, and international guidelines advocate the use of intravitreal anti-vascular endothelial growth factor injections as first-line therapy. Local expert organizations broadly support these recommendations; nevertheless, no clinical practice guidelines exist on the treatment of wAMD and DME in CEE. Access to and reimbursement of anti-vascular endothelial growth factor agents vary significantly in the region and, as a result, many patients remain untreated or inadequately treated.

CONCLUSIONS

There is an urgent need for the creation of a wAMD/DME treatment program in CEE to ensure that patients have timely access to the most appropriate treatments.

Risk factors for diabetic macular oedema in type 2 diabetes: A case-control study in a United Kingdom primary care setting

AIM

To identify risk factors associated with the development of DMO among patients diagnosed with type 2 diabetes managed in a primary care setting in the UK.

METHODS

A case-control study nested in a cohort of incident Type 2 diabetes identified in The Health Improvement Network database from 2000-2007. Cases were people with DMO (N=211) and controls were a DMO-free sample (N=2194). No age restrictions were applied. Adjusted odds ratios and 95%CIs were estimated (OR; 95%CI).

RESULTS

DMO increased with high alcohol use (2.88; 1.49-5.55), cataracts (4.10; 2.73-6.15), HbA1c ≥7% (1.58; 1.08-2.32), systolic blood pressure ≥160mm Hg (2.03; 1.17-3.53), total cholesterol ≥5mmol/L (1.66; 1.15-2.39), LDL ≥3mmol/L (1.73; 1.14-2.61), and microalbuminuria (1.78; 1.16-2.73). Diuretic drugs were associated with a reduced risk of DMO (0.68; 0.47-0.99), as did smoking (0.47; 0.28-0.77), overweight (0.53; 0.30-0.96) or obesity (0.52; 0.30-0.91) at diabetes diagnosis, and high triglyceride levels (0.51; 0.35-0.74). Patients treated with anti-diabetic drugs showed higher risk of DMO than non-treated patients, particularly those with sulphonylureas (3.40; 2.42-4.78), insulin (3.21; 1.92-5.36) or glitazones (1.88; 1.17-3.04).

CONCLUSION

In patients with type 2 diabetes managed in primary care, multiple factors associated with DMO were identified, such as cataracts, microalbuminuria and high levels of HbA1c, systolic BP, total cholesterol, and LDL. Diuretic drugs were associated with a reduced risk of DMO. Treated diabetes, particularly with sulphonylureas, insulin or glitazones showed highest risk of DMO. The inverse association between smoking, obesity, and triglycerides and DMO deserves further research.

[Expected effect of retinal thickness after focal photocoagulation in diabetic macular oedema]

BACKGROUND

Macular oedema is a form of diabetic retinopathy that can be treated with photocoagulation. The expected effect of treatment varies, and may depend on the previous characteristics of retinal thickening.

OBJECTIVE

To determine whether the change in retinal thickness after focal photocoagulation for diabetic macular oedema varies due to the presence of anatomical features that may justify a separate assessment.

MATERIAL AND METHODS

Non-experimental, comparative, retrospective, longitudinal study. The mean percentage change in macular volume was compared in eyes with diabetic macular oedema, 3 weeks after focal photocoagulation. The analysis was stratified according to the presence of central and perifoveal temporal thickening (Mann-Whitney U). A regression analysis was performed to identify the contribution of the anatomical variables before photocoagulation to the change in macular volume.

RESULTS

A total of 72 eyes were evaluated. The mean change of macular volume in the sample was -0.68±3.84%. In the multiple regression analysis, the changes of perifoveal temporal (beta 0.54, p<0.001) and central field thickness (beta 0.3, p =0.01) contributed to the change of macular volume (R=0.64). Macular volume decreased by a mean of -2.1±4.3% in eyes with temporal perifoveal thickening, and increased by 0.5±2.8% (p =0.007) in eyes with no thickening.

CONCLUSION

Perifoveal temporal thickening before photocoagulation changes the expected effect of this therapy on macular volume in eyes with focal diabetic macular oedema. It is recommended to evaluate the effect separately, and according to the perifoveal temporal thickness.

Risk factors associated with diabetic macular edema

Diabetic macular edema (DME) is the most common cause of vision loss in patients with type 1 and type 2 diabetes. Glycemic control, hypertension, and dyslipidemia are known to be important risks factors for DME. In addition, nephropathy, anemia, sleep apnea, glitazone usage, and pregnancy are also important modifiable risk factors. It is important for physicians of different subspecialties to work together and understand multiple aspects of DME and diabetic healthcare.