Background Patients with type 2 diabetes are at increased risk of developing cardiovascular diseases, and assessment of cardiac risk is important for preventive strategies. We compared the performance of two cardiac assessment tools to predict 10-year cardiovascular risk.Methods This was a retrospective study of patients with type 2 diabetes who attended two primary-health-care centres in the Gaza Strip from Sept 15 to Nov 15, 2019. We excluded patients who had any existing cardiovascular disease. 10-year cardiovascular risk assessment was done with two risk assessment tools: the WHO/International Society of Hypertension (WHO/ISH) risk prediction charts and the UK Prospective Diabetes Study (UKPDS) risk engine. We also assessed the need for prescribing statins based on the documented risk.
Purpose This study aims to evaluate health-related quality of life among children with different chronic conditions and make a comparison among them. In addition, the study will draw a comparison between children’s perspective about their quality of life and parents’ perspective. Furthermore, the study will address the associations between quality of life with disease severity, duration and the presence of other co-morbidities. Methods This was a prospective, analytical, correlational study design in which Pediatric Quality of Life Inventory (PedsQL 4.0 generic core scale) was administered to assess quality of life on 110 children; 50 children with cancer, 30 children with thalassemia and 30 children undergoing hemodialysis. Researchers interviewed children as well as their parents. Results Results showed that children with Thalassemia had the lowest scores and suffered from poor quality of life compared to the other two groups of children. Interestingly, quality of life level among children undergoing dialysis was lower than children with cancer. However, there were marked discrepancy between child’s and parents’ answers on scale questions. The level of quality of life, in all children, were statistically significant in relation with family size, income and parents’ education. Conclusion We identified high prevalence of poor level of health-related quality of life among children included in this study. The findings support that the quality of life among children with chronic conditions should receive more attention in our local medical settings.
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