Non-invasive skin autofluorescence as a screening method for diabetic retinopathy.

Diabetic retinopathy (DR) is a public health problem and a common cause of blindness. It is diagnosed by fundus examination; however, this is a costly and time-consuming method. Non-invasive skin autofluorescence (SAF) may be an accessible, fast and simple alternative for screening and early diagnosis of DR. The aim of this study was to evaluate the accuracy of SAF as a screening method for DR. A systematic search of MEDLINE, Scopus, and Web of Science databases was performed. Random effects models for sensitivity, specificity, positive likelihood ratio (PLR) and negative likelihood ratio (NLR), diagnostic odds ratio (dOR) value and 95% CIs were used to calculate test accuracy. In addition, hierarchical summary receiver operating characteristic curves (HSROC) were used to summarise the overall test performance. Four studies were included in the meta-analysis. Pooled sensitivity and specificity were 0.79 (95% CI 0.72-0.88; I2  = 0.0%) and 0.54 (95% CI 0.32-0.92; I2  = 97.0%), respectively. The dOR value for the diagnosis of DR using SAF was 5.11 (95% CI 1.81-14.48: I2  = 85.9%). The PRL was 2.17 (95% CI 0.62-7.64) and the NRL was 0.27 (95% CI 0.07-1.03). Heterogeneity was not relevant in sensitivity and considerable in specificity. The 95% confidence region of the HSROC included all studies. SAF as a screening test for DR shows sufficient accuracy for its use in clinical settings. SAF may be an appropriate method for DR screening, and further research is needed to recommend it as a diagnostic method.

Association between severe hypoglycaemia and risk of dementia in patients with type 2 diabetes mellitus: A systematic review and meta-analysis.

The aim of this systematic review was to analyse whether there is an association between severe hypoglycaemia and the incidence of dementia in patients with type 2 diabetes mellitus. We systematically searched the MEDLINE, Scopus, and Cochrane databases from their inception until September 2022 for observational studies on the association between hypoglycaemia and the risk of dementia. The DerSimonian and Laird method was used to compute a pooled estimate of the risk for such association. Risk ratio (RR) and its respective 95% confidence interval (95% CI). Two analyses were performed to estimate the risk of dementia: (i) any hypoglycaemia versus no hypoglycaemia and (ii) a dose-response analysis for one, two, or more than three hypoglycemic events versus no hypoglycaemia. PROSPERO registration number CRD42020219200. Seven studies were included. The pooled RR for the association of severe hypoglycaemia and risk of dementia was 1.47 (95% CI: 1.24-1.74). When the dose-response trend was analysed, the pooled RR for the risk of dementia was increased according to the hypoglycaemia events as follows: 1.29 (95% CI: 1.15-1.44) for one hypoglycemic event; 1.68 (95% CI: 1.38-2.04) for two hypoglycemic events; and 1.99 (95% CI: 1.48-2.68) for three or more hypoglycemic events. Our study demonstrates a 54% higher risk of dementia among people who suffer a hypoglycaemia event compared to nonhypoglycaemia. Considering our results and the prevalence of people suffering from diabetes mellitus, health education for both newly diagnosed and already diagnosed people could be a useful tool for glycaemic control, thus avoiding hypoglycaemic events.

Comparative effect of eHealth interventions on hypertension management-related outcomes: A network meta-analysis.

BACKGROUND: Increasingly, health professionals and patients have begun to be involved in eHealth interventions to assist in the self-management of hypertension. Therefore, this study was aimed at comparing the effect of different types of eHealth interventions (phone calls, blood pressure telemonitoring, emails, web-site, smartphone-app, short message service (SMS) and more than two eHealth interventions) on reducing systolic and diastolic blood pressure, increasing adherence to medication treatment, improving physical activity compliance, controlling blood pressure, and improving quality of life (QoL). METHODS: A systematic search in MEDLINE (via PubMed), EMBASE, Cochrane Central Register of Controlled Trials, and Web of Science databases was conducted to identify experimental studies addressing the effect of eHealth interventions on the self-management of hypertension. Comparative evaluation of the eHealth interventions effect were performed by conducting a standard pairwise meta-analysis and a network meta-analysis for direct and indirect comparisons between eHealth interventions and control/non-intervention. RESULTS: Fifty-one studies were included in the analysis showing a moderate effect size for more than two types of eHealth interventions (-0.46; 95%CI: -0.64, -0.27, p < 0.001 and -0.29; 95%CI: -0.46, -0.13, p < 0.001), phone calls (-0.37; 95%CI: -0.57, -0.17, p < 0.001 and -0.29; 95%CI: -0.52, -0.07, p = 0.011) and smartphone-app (-0.26; 95%CI: -0.50, -0.01, p = 0.040 and -0.40; 95%CI: -0.70, -0.10, p = 0.010) on reducing both systolic and diastolic blood pressure, respectively. Additionally, i) smartphone-app improved medication adherence by 45%; ii) more than two types of eHealth interventions and emails improved physical activity compliance by 18% and 57% respectively; ii) more than two types of eHealth interventions, phone calls, blood pressure telemonitoring, website and SMS improved blood pressure control between 16% and 30%; and iv) blood pressure telemonitoring showed a week effect on QoL CONCLUSIONS: Our study reported eHealth to be a suitable intervention for the self-management of hypertension. Considering our results and the population's accessibility to eHealth devices, eHealth could be a useful and largely scalable tool for the self-management of hypertension. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42020187468.