Metabolic health and cardiometabolic risk clusters: implications for prediction, prevention, and treatment

N Stefan, MB Schulze - The lancet Diabetes & endocrinology, 2023 - thelancet.com
Among 20 leading global risk factors for years of life lost in 2040, reference forecasts point to
three metabolic risks—high blood pressure, high BMI, and high fasting plasma glucose—as …

Precision prognostics for the development of complications in diabetes

C Schiborn, MB Schulze - Diabetologia, 2022 - Springer
Individuals with diabetes face higher risks for macro-and microvascular complications than
their non-diabetic counterparts. The concept of precision medicine in diabetes aims to …

Diabetic retinopathy detection and grading: A transfer learning approach using simultaneous parameter optimization and feature-weighted ECOC ensemble

WK Wong, FH Juwono, C Apriono - IEEE Access, 2023 - ieeexplore.ieee.org
Early detection of Diabetic Retinopathy (DR) is crucial as it may cause blindness. Manual
diagnosis of DR severity by ophthalmologists is challenging and time consuming. Therefore …

Utility of the CHA2DS2-VASc score for predicting ischaemic stroke in patients with or without atrial fibrillation: a systematic review and meta-analysis

TJ Siddiqi, MS Usman, I Shahid… - European journal of …, 2022 - academic.oup.com
Aims Anticoagulants are the mainstay treatment for stroke prevention in patients with non-
valvular atrial fibrillation (NVAF), and the CHA2DS2-VASc score is widely used to guide …

Prediction of hypertension using traditional regression and machine learning models: A systematic review and meta-analysis

MZI Chowdhury, I Naeem, H Quan, AA Leung… - PloS one, 2022 - journals.plos.org
Objective We aimed to identify existing hypertension risk prediction models developed using
traditional regression-based or machine learning approaches and compare their predictive …

Evaluation of machine learning methods developed for prediction of diabetes complications: a systematic review

KR Tan, JJB Seng, YH Kwan, YJ Chen… - Journal of diabetes …, 2023 - journals.sagepub.com
Background: With the rising prevalence of diabetes, machine learning (ML) models have
been increasingly used for prediction of diabetes and its complications, due to their ability to …

DNA methylation age acceleration is associated with risk of diabetes complications

VM Vetter, J Spieker, Y Sommerer… - Communications …, 2023 - nature.com
Abstract Background Patients with Type 2 diabetes mellitus (T2D) are at risk for micro-and
macrovascular complications. Implementable risk scores are needed to improve targeted …

GAS5: A pivotal lncRNA in diabetes mellitus pathogenesis and management

KS Alharbi - Pathology-Research and Practice, 2024 - Elsevier
The long non-coding RNA (lncRNA), GAS5, has garnered significant attention recently for its
multifaceted involvement in cellular processes, particularly within the context of diabetes …

Development and validation of a hypertension risk prediction model and construction of a risk score in a Canadian population

MZI Chowdhury, AA Leung, KC Sikdar, M O'Beirne… - Scientific Reports, 2022 - nature.com
Identifying high-risk individuals for targeted intervention may prevent or delay hypertension
onset. We developed a hypertension risk prediction model and subsequent risk sore among …

CVD incidence and mortality among people with diabetes and/or hypertension: Results from the English longitudinal study of ageing

P Zaninotto, A Steptoe, EJ Shim - Plos one, 2024 - journals.plos.org
Background and aims Diabetes and/or hypertension are the most common conditions in
older people, and also related to higher cardiovascular disease (CVD) incidence and …