Diabetics Retinopathy Knowledge and Awareness Assessment among the Type 2 Diabetics

INTRODUCTION: Diabetic retinopathy (DR) is a leading cause of blindness worldwide. In Saudi Arabia and other Arab countries, several studies estimated the prevalence of DR ranging from 30 - 40%.AIM: To assess the DR knowledge and its association with diabetes control among Type 2 diabetic patients.METHODS: A cross-sectional study of patients with Type II diabetes (T2D) who had a routine visit to the endocrine clinic to assess the DR knowledge and its relation to the glycemic control. We used a questionnaire that was used in previously published studies, and the reliability was assessed using the alpha Cronbach coefficient. Patients who answered correctly > 60% were considered to have good knowledge about DR.RESULTS: Total of 253 patients participated, 43.4% has diabetes > 10 years and 30.7% have it for 5 - 10 years, 36.4% did college degree or higher, 40.8% considered having low income. 37.7% of participants were not screened for the DR in the past year. 28.4% of participants think that seeing optometrist is enough for DR diagnosis. Diabetics with good knowledge who have T2D > 10 years were 46.3% compared to 38.6% (p = 0.04). Diabetics with good knowledge have mean A1c of 8.55 vs. 8.59 (p = 0.32), mean BMI 30.4 vs. 30.2 (p = 0.46), mean diastolic pressure was 77.12% vs. 79.48% (p = 0.03).CONCLUSION: Almost two-thirds of screened T2D were considered to have good knowledge about DR. The good knowledge group tends to have a longer duration of T2D, more likely to have a college degree, and tend to have non -significantly better A1c control

Development of a highly sensitive fluorescent probe using <i>Delonix regia</i> (Gulmohar) tree pod shell for precise sarcosine detection in human urine samples: advancing prostate cancer diagnosis

We designed a highly sensitive fluorescent sensor for the early detection of sarcosine, a potential biomarker for prostate cancer. This sensor was based on surface-cobalt-doped fluorescent carbon quantum dots (Co-CD) using a FRET-based photoluminescent sensing platform. Blue luminescent carbon quantum dots (CQD) were synthesised through a hydrothermal approach, utilizing Delonix regia tree pod shells. Cobalt was employed to functionalize the CQD, enhancing the quantum-entrapped effects and minimizing surface flaws. To optimize Co-CD preparation, we employed a Box-Behnken design (BBD), and response surface methodology (RSM) based on single-factor experiments. The Co-CD was then used as a fluorescent probe for selective Cu2+ detection, with Cu2+ quenching Co-CD fluorescence through an energy transfer process, referred to as ‘turn-off’. When sarcosine was introduced, the fluorescence intensity of Co-CD was restored, creating a ‘turn-on’ response. The sensor exhibited a Cu2+ detection limit (LOD) of 2.4 µM with a linear range of 0 μM to 10 µM. The sarcosine detection in phosphate buffer saline (PBS, pH 7.4) resulted in an LOD of 1.54 μM and a linear range of 0 to 10 µM. Importantly, the sensor demonstrated its suitability for clinical analysis by detecting sarcosine in human urine. In summary, our rapid and highly sensitive sensor offers a novel approach for the detection of sarcosine in real samples, facilitating early prostate cancer diagnosis. Communicated by Ramaswamy H. Sarma</p

SARS-CoV-2 vaccination modelling for safe surgery to save lives: data from an international prospective cohort study

Background: Preoperative SARS-CoV-2 vaccination could support safer elective surgery. Vaccine numbers are limited so this study aimed to inform their prioritization by modelling. Methods: The primary outcome was the number needed to vaccinate (NNV) to prevent one COVID-19-related death in 1 year. NNVs were based on postoperative SARS-CoV-2 rates and mortality in an international cohort study (surgical patients), and community SARS-CoV-2 incidence and case fatality data (general population). NNV estimates were stratified by age (18-49, 50-69, 70 or more years) and type of surgery. Best- and worst-case scenarios were used to describe uncertainty. Results: NNVs were more favourable in surgical patients than the general population. The most favourable NNVs were in patients aged 70 years or more needing cancer surgery (351; best case 196, worst case 816) or non-cancer surgery (733; best case 407, worst case 1664). Both exceeded the NNV in the general population (1840; best case 1196, worst case 3066). NNVs for surgical patients remained favourable at a range of SARS-CoV-2 incidence rates in sensitivity analysis modelling. Globally, prioritizing preoperative vaccination of patients needing elective surgery ahead of the general population could prevent an additional 58 687 (best case 115 007, worst case 20 177) COVID-19-related deaths in 1 year. Conclusion: As global roll out of SARS-CoV-2 vaccination proceeds, patients needing elective surgery should be prioritized ahead of the general population