Interventions to increase attendance for diabetic retinopathy screening: A cochrane review summary

Association between lncRNAs in plasma exosomes and diabetic retinopathy

BACKGROUND

Long noncoding RNA (lncRNA) in plasma exosomes is a potential non-invasive diagnostic biomarker for diabetic retinopathy (DR). However, the changes in plasma exosomal lncRNAs and diagnostic relevance in patients with DR patients remain unclear.

METHODS

A case-control study with type 2 diabetes mellitus (T2DM) and patients with comorbid DR were enrolled, and their clinical information and blood samples were collected. Plasma exosomes were extracted, and the relative expression levels of representative differentially expressed exosomal lncRNAs were determined. A logistic regression model was used to analyze the relationships of DR with relative lncRNA expression and DR-related factors, and receiver operating characteristic (ROC) curve analysis was used to evaluate the value of exosomal lncRNAs for DR diagnosis.

RESULTS

Sixty-two patients with T2DM and sixty-two patients with DR were matched by age, sex, and disease duration. The fasting blood glucose concentration, glycosylated hemoglobin level (HbA_1c), and relative expression of the plasma exosomal lncRNA DLX6-AS1 were significantly higher in the DR group than in the T2DM group, whereas the 2-h C-peptide concentration and relative expression of the lncRNAs PRINS and FAM190A-3 were lower in the DR group. After adjusting for relevant confounders, the fasting blood glucose concentration, HbA_1c level, 2-h C-peptide concentration, and relative expression of lncRNA DLX6-AS1, PRINS, and FAM190A-3 were found to be associated with DR. Both DLX6-AS1 [area under the curve (AUC): 0.658 (0.562-0.754)], PRINS [AUC: 0.798 (0.722-0.873)], and FAM190A-3 [AUC: 0.603 (0.503-0.702)] expression had predictive value for DR diagnosis. The combination of DLX6-AS1 and PRINS yielded an AUC of 0.813 (0.740-0.886). In males, the combination of DLX6-AS1 and PRINS yielded an AUC of 0.860 (0.780-0.940).

CONCLUSION

The fasting blood glucose concentration, HbA_1c level, and exosomal DLX6-AS1 expression were identified as risk factors for DR, whereas the 2-h C-peptide concentration and exosomal PRINS and FAM190A-3 were identified as protective against DR. The combination of exosomal DLX6-AS1 and PRINS had good diagnostic value for DR in the general population and males. More attention should be paid to the role of exosomal PRINS expression as a predictive and diagnostic DR biomarker in females.

Confirmatory Factor Analysis and Reliability of the Diabetes Treatment Satisfaction Questionnaire (DTSQ) for Arabic Speaking Patients with Type II Diabetes

Background

Treatment satisfaction is an important indicator for treatment compliance and glycemic control. Although psychometric properties of the Diabetes Treatment Satisfaction Questionnaire have been confirmed in several languages, it remains unclear the extent to which the factorial structure of this tool is valid for Arabic speaking populations.

Purpose

This study set out to confirm the construct validity of the Arabic version of the Diabetes Treatment Satisfaction Questionnaire (DTSQ) by investigating the fit of published factor structures and the reliability of responses in patients diagnosed with type 2 diabetes.

Methods

Data were from a large cross-sectional study of 1002 patients with diabetes in Jordan. Confirmatory factor analysis was used to compare three different models of the 8-item questionnaire (one factor, two factors, three factors) across patients treated with insulin and patients treated with oral hypoglycaemic medications.

Results

Statistics covered the factorial validity and omega reliability coefficient (Ω_w) of the DTSQ. We were able to replicate the three different models of the 8-item Diabetes Treatment Satisfaction Questionnaire reported in previous studies, yet a two-factor model provided the best fit to the data in our sample with omega reliability coefficient (Ω_w) of the subscales above 0.70.

Conclusion

The finding suggests a cross-cultural invariance of the factor structure of the Arabic version of the Diabetes Treatment Satisfaction Questionnaire, as we were able to replicate the same factor structure using the Arabic translated version of the tool and using non-English speaking participants. Within known limitations and gaps in the literature, healthcare professionals working with Arabic speaking patients may find this tool useful for identification of high-risk patients and those in need for interventions to promote glycemic control.

Nonmydriatic Photographic Screening for Diabetic Retinopathy in Pregnant Patients with Pre-Existing Diabetes in a Safety Net Population: 1 Year Results from the Diabetic Retinopathy in Pregnant Patients Study

Background: Pregnant patients with pre-existing diabetes mellitus (DM) are at increased risk for development or progression of existing diabetic retinopathy (DR). A quality improvement project was initiated to improve DR screening during pregnancy at a safety net hospital. This article highlights the utility and generalizability of our telemedicine-based screening model. Materials and Methods: In April 2018, we implemented a photographic retinal screening system in the Maternal Fetal Medicine (MFM) clinic at Santa Clara Valley Medical Center in San Jose, CA. The system is intended to screen all pregnant patients with pre-existing diabetes (type 1 and 2). Retinal images are automatically uploaded to a secure server and interpreted by a retina specialist (C.K.P.). Results: A total of 71 pregnant patients with pre-existing DM were seen in the MFM clinic during the study period. Sixty-six of 71 patients (93.0%) were screened compared with 69.1% in the year prior. Of the 64 patients screened with readable images 11 (17.2%) had DR, whereas 53 did not. Forty-nine of the 64 (74.2%) patients screened underwent screening using the new nonmydriatic system in the MFM clinic. Only 7 out of 47 (14.9%) patients with readable images in the MFM clinic required referral to the ophthalmology clinic. Conclusion: Our model for DR screening in pregnant patients in safety net hospitals is effective in improving screening rates and expediting evaluation and treatment for those in need. This system can prevent irreversible vision loss in pregnant patients and provides an effective framework for ophthalmic care in a safety net hospital system.