This study aims to assess the burden and predictors of age-related macular degeneration (AMD) among older age patients with diabetes attending comprehensive specialised hospitals in Northwest Ethiopia.

A multicentre cross-sectional study was conducted among older patients with diabetes using a systematic random sampling technique.

The study was conducted at five comprehensive specialised hospitals in Northwest Ethiopia from 8 May to 8 June 2023.

The study included 832 diabetic individuals aged 40 years and above.

Data were collected using a pretested structured questionnaire and physical examinations.

In this study, a total of 832 participants were involved, with a response rate of 96.85%. The burden of AMD was 15.4% (95% CI 13.0% to 18.0%). Male sex (adjusted OR (AOR) 2.04, 95% CI 1.17 to 3.56), older age (AOR 6.91, 95% CI 3.17 to 15.08), diabetes duration of 10 and more years (AOR 3.00, 95% CI 1.91 to 4.69), higher body mass index (AOR 2.56, 95% CI 1.15 to 5.71), presence of hypertension (AOR 2.45, 95% CI 1.56 to 3.85) and family history of diabetes mellitus (DM) (AOR 2.29, 95% CI 1.40 to 3.76) were positively associated with AMD.

This study found that the prevalence of AMD among patients with diabetes was 15.4%. Older age, male sex, longer DM duration, higher body mass index, presence of hypertension and family history of DM were significantly associated with AMD. Targeted screening of at-risk individuals for AMD, public health awareness campaigns focusing on these factors and further research to understand the burden and underlying mechanisms of these associations with AMD are recommended.

Older adults are particularly vulnerable to climate-related stressors such as extreme heat, food and water insecurity and displacement, all of which can worsen existing health conditions. This is further compounded by age-related physiological changes, pre-existing health conditions and social factors like isolation and limited mobility. With a growing population of older adults in low-income and middle-income countries, their vulnerability to climate change becomes a critical global public health issue and yet is understudied and needs urgent and comprehensive action. This study aims to investigate how climate seasonality impacts the health, well-being and socioeconomic conditions of older adults in rural communities of Kenya.

This formative qualitative study will use a combination of 40 in-depth interviews with older adults and key informant interviews with 20 health workers and 12 policy-makers to provide a comprehensive understanding of the impacts of climate seasonality on the health, well-being and socioeconomic conditions of older adults in rural communities of Busia and Kilifi Counties in Kenya. These counties were selected for the study due to their history of significant flooding and heat stress events. Study participants will be purposively selected for the interviews. A thematic approach will be employed in data analysis using NVivo V.14 software.

This study received ethical approval from the Medical College of Wisconsin Institutional Review Board, Institutional Scientific Ethics Review Committee at Africa International University and National Commission for Science, Technology and Innovation, Kenya. The study outputs will reflect the views and experiences of older adults, health workers and policy-makers. The findings will be disseminated to the scientific community through conferences and peer-reviewed publications and to the older adults, health workers, communities and policy-makers through videos and dissemination meetings, and policy briefs. The findings will deepen understanding of how climate seasonality is experienced by older people and shape strategies for resilience and adaptation.

To investigate whether quantitative retinal markers, derived from multimodal retinal imaging, are associated with increased risk of mortality among individuals with proliferative diabetic retinopathy (PDR), the most severe form of diabetic retinopathy.

Longitudinal retrospective cohort analysis.

This study was nested within the AlzEye cohort, which links longitudinal multimodal retinal imaging data routinely collected from a large tertiary ophthalmic institution in London, UK, with nationally held hospital admissions data across England.

A total of 675 individuals (1129 eyes) with PDR were included from the AlzEye cohort. Participants were aged ≥40 years (mean age 57.3 years, SD 10.3), and 410 (60.7%) were male.

The primary outcome was all-cause mortality. Quantitative retinal markers were derived from fundus photographs and optical coherence tomography using AutoMorph and Topcon Advanced Boundary Segmentation, respectively. We used unadjusted and adjusted Cox-proportional hazards models to estimate hazard ratios (HR) for the association between retinal features and time to death.

After adjusting for sociodemographic factors, each 1-SD decrease in arterial fractal dimension (HR: 1.54, 95% CI: 1.18 to 2.04), arterial vessel density (HR: 1.59, 95% CI: 1.15 to 2.17), arterial average width (HR: 1.35, 95% CI: 1.02 to 1.79), central retinal arteriolar equivalent (HR: 1.39, 95% CI: 1.05 to 1.82) and ganglion cell-inner plexiform layer (GC-IPL) thickness (HR: 1.61, 95% CI: 1.03 to 2.50) was associated with increased mortality risk. When also adjusting for hypertension, arterial fractal dimension (HR: 1.45, 95% CI: 1.08 to 1.92), arterial vessel density (HR: 1.47, 95% CI: 1.05 to 2.08) and GC-IPL thickness (HR: 1.56, 95% CI: 1.03 to 2.38) remained significantly associated with mortality.

Several quantitative retinal markers, relating to both microvascular morphology and retinal neural thickness, are associated with increased mortality among individuals with PDR. The role of retinal imaging in identifying those individuals with PDR most at risk of imminent life-threatening sequelae warrants further investigation.

This study validates the previously tested Screening for Poverty And Related social determinants to improve Knowledge of and access to resources (‘SPARK Tool’) against comparison questions from well-established national surveys (Post Survey Questionnaire (PSQ)) to inform the development of a standardised tool to collect patients’ demographic and social needs data in healthcare.

Cross-sectional study.

Pan-Canadian study of participants from four Canadian provinces (SK, MB, ON and NL).

192 participants were interviewed concurrently, completing both the SPARK tool and PSQ survey.

Survey topics included demographics: language, immigration, race, disability, sex, gender identity, sexual orientation; and social needs: education, income, medication access, transportation, housing, social support and employment status. Concurrent validity was performed to assess agreement and correlation between SPARK and comparison questions at an individual level as well as within domain clusters. We report on Cohen’s kappa measure of inter-rater reliability, Pearson correlation coefficient and Cramer’s V to assess overall capture of needs in the SPARK and PSQ as well as within each domain. Agreement between the surveys was described using correct (true positive and true negative) and incorrect (false positive and false negative) classification.

There was a moderate correlation between SPARK and PSQ (0.44, p60), SPARK correctly classified 90.5% (n=176/191).

SPARK provides a brief 15 min screening tool for primary care clinics to capture social and access needs. SPARK was able to correctly classify most participants within each domain. Related ongoing research is needed to further validate SPARK in a large representative sample and explore primary care implementation strategies to support integration.