AI Article Synopsis
- This study investigates how diabetes mellitus is linked to the risk of dementia in the UK by analyzing data from the Health Improvement Network (THIN) database between 2000 and 2016.
- Findings show a significant increase in dementia prevalence from 0.424% in 2000 to 2.508% in 2016, with the highest rates among those aged 85 and older.
- Women were found to have a higher prevalence and incidence of dementia compared to men, suggesting a growing concern for dementia in the diabetic population over the 16-year period.
Article Abstract
Background: Few studies have shown that an increased risk of dementia is associated with diabetes mellitus.
Objective: To estimate the prevalence and incidence of dementia in people with diabetes in primary care in the UK.
Methods: We conducted a descriptive study using the UK The Health Improvement Network (THIN) database. People diagnosed with diabetes from 2000 to 2016 were included in the study. Prevalence and incidence rates of dementia were calculated annually, stratified by age and gender.
Results: The prevalence of dementia was 0.424% [95% CI (0.420%-0.427%)] in 2000 and 2.508% [95% CI (2.501%-2.515%)] in 2016. The highest prevalence was in those aged 85+ from 2.9% [95% CI (2.890%-2.974%)] in 2000 to 11.3% [95% CI (11.285%-11.384%)] in 2016. The incidence of dementia increased 3.7 times, from 0.181 cases per 100 persons [95% CI (0.179-0.183)] in 2000 to 0.683 cases per 100 persons [95% CI (0.679-0.686)] in 2016, respectively. Women had a higher prevalence and incidence of dementia than men 3.138% [95% CI (3.127%-3.150%)] versus 2.014% [95% CI (2.006%-2.022%)] and 0.820 [95% CI (0.814-0.826)] versus 0.576 cases per 100 persons [95% CI (0.571-0.580)] in 2016, respectively.
Conclusion: There was a trend of increasing prevalence and incidence of dementia in people with diabetes over the period of 2000 to 2016. This study adds to the evidence on dementia prevalence and incidence, particularly in the diabetic population.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.3233/JAD-191115 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Serum and plasma as a good candidates of body fluids for detection lung cancer by FTIR liquid biopsy.
Sci Rep
December 2024
Department of Biochemistry and Molecular Biology, Medical University of Lublin, 20-093, Lublin, Poland.
Using Fourier Transform Infrared spectroscopy (FTIR), it is possible to show chemical composition of materials and / or profile chemical changes occurring in tissues, cells, and body fluids during onset and progression of diseases. For diagnostic application, the use of blood would be the most appropriate in biospectroscopy studies since, (i) it is easily accessible and, (ii) enables frequent analyses of biochemical changes occurring in pathological states. At present, different studies have investigated potential of serum, plasma and sputum being alternative biofluids for lung cancer detection using FTIR.
View Article and Find Full Text PDFImmunogenicity and safety of the 15-valent pneumococcal conjugate vaccine, a systematic review and meta-analysis.
NPJ Vaccines
December 2024
Department for Evidence-based Medicine and Evaluation, University for Continuing Education Krems (Danube University Krems), Krems, Austria.
Pneumococcal infections are a serious health issue associated with increased morbidity and mortality. This systematic review evaluated the efficacy, effectiveness, immunogenicity, and safety of the pneumococcal conjugate vaccine (PCV)15 compared to other pneumococcal vaccines or no vaccination in children and adults. We identified 20 randomized controlled trials (RCTs).
View Article and Find Full Text PDFDeep learning on CT scans to predict checkpoint inhibitor treatment outcomes in advanced melanoma.
Sci Rep
December 2024
Medical Image Analysis, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
Immune checkpoint inhibitor (ICI) treatment has proven successful for advanced melanoma, but is associated with potentially severe toxicity and high costs. Accurate biomarkers for response are lacking. The present work is the first to investigate the value of deep learning on CT imaging of metastatic lesions for predicting ICI treatment outcomes in advanced melanoma.
View Article and Find Full Text PDFA real-world pharmacovigilance analysis of potential ototoxicity associated with sacubitril/valsartan based on FDA Adverse Event Reporting System (FAERS).
Sci Rep
December 2024
Department of Comprehensive Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Sacubitril/valsartan, a first-in-class angiotensin receptor neprilysin inhibitor, is widely used to treat heart failure. Despite its efficacy, sacubitril/valsartan inevitably causes adverse events such as hypotension, renal dysfunction, hyperkalemia, and angioedema. Sacubitril/valsartan-associated ototoxicity is often underreported in clinical studies and real-world settings.
View Article and Find Full Text PDFWeb application using machine learning to predict cardiovascular disease and hypertension in mine workers.
Sci Rep
December 2024
Department of Applied Mathematics, Faculty of Mathematical Science, Ferdowsi University of Mashhad, Mashhad, Iran.
This study presents a web application for predicting cardiovascular disease (CVD) and hypertension (HTN) among mine workers using machine learning (ML) techniques. The dataset, collected from 699 participants at the Gol-Gohar mine in Iran between 2016 and 2020, includes demographic, occupational, lifestyle, and medical information. After preprocessing and feature engineering, the Random Forest algorithm was identified as the best-performing model, achieving 99% accuracy for HTN prediction and 97% for CVD, outperforming other algorithms such as Logistic Regression and Support Vector Machines.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!