Publications by authors named "D J Wingfield"
Article Synopsis
- * Accurate diagnosis relies on tests like cerebrospinal fluid analysis and neuro-imaging to confirm Alzheimer's pathology, but blood-based biomarkers present a promising, less invasive alternative.
- * Despite the potential of these new diagnostic and therapeutic approaches, healthcare systems may struggle with implementation due to limitations in capacity, finances, and infrastructure.
Article Synopsis
- Urinary tract infections (UTIs) significantly contribute to hospitalizations and fatalities among individuals with dementia compared to matched controls and those with diabetes.
- A large study analyzed data from over 2.4 million people aged 50+ in Wales between 2000-2021, finding that UTIs in dementia and diabetes were linked to increased mortality rates, especially in those with both conditions.
- Delayed or untreated UTIs led to a notable increase in the risk of death, with 5.4% of untreated individuals with dementia dying within 60 days after diagnosis, rising to 5.9% for those also having diabetes.
Article Synopsis
- UTIs are common in older adults and especially impact those with dementia, making early detection essential due to barriers in reporting symptoms.
- Researchers tested low-cost home monitoring devices that track activity and physiology to develop an algorithm that predicts UTI risk, using data from over 27,000 person-days of monitoring.
- The developed machine learning model shows promising sensitivity (74.7%) and specificity (87.9%) for identifying UTIs, utilizing key features like bathroom visits and respiratory rates to alert healthcare providers for timely intervention.
Background: Internet of Things (IoT) technology enables physiological measurements to be recorded at home from people living with dementia and monitored remotely. However, measurements from people with dementia in this context have not been previously studied. We report on the distribution of physiological measurements from 82 people with dementia over approximately 2 years.
View Article and Find Full Text PDFBackground: COVID-19 cases were first detected in the UK in January 2020 and vulnerable patients were asked to shield from March to reduce their risk of COVID-19 infection.
Aim: To determine the risk and determinants of COVID-19 diagnosis in shielded versus non-shielded groups, adjusted for key comorbidities not explained by shielding.
Design & Setting: Retrospective cohort study of adults with COVID-19 infection between 1 February 2020 and 15 May 2020 in west London.