Obstructive sleep apnoea syndrome and future risk of dementia among individuals managed in UK general practice.

Background: Obstructive sleep apnoea syndrome (OSAS) has been recognised as a potential risk factor for cognitive decline, yet its precise relationship with dementia remains uncertain. This study aimed to determine the risk of dementia among individuals with and without OSAS.

Methods: Data derived from 2.

The risk of immune-mediated inflammatory diseases following exposure to childhood maltreatment: A retrospective cohort study using UK primary care data.

Background: As a global public health issue, childhood maltreatment is associated with significant morbidity and mortality. We aimed to investigate the association between childhood maltreatment and immune-mediated inflammatory disorders (IMIDs).

Methods: We conducted a retrospective matched open cohort study using a UK primary care database between January 1, 1995 and January 31, 2021.

Using Repeated Measurements to Predict Cardiovascular Risk in Patients With Type 2 Diabetes.

The QRISK cardiovascular disease (CVD) risk assessment model is not currently optimized for patients with type 2 diabetes (T2DM). We aim to identify if the abundantly available repeatedly measured data for patients with T2D improves the predictive capability of QRISK to support the decision-making process regarding CVD prevention in patients with T2DM. We identified patients with T2DM aged 25 to 85, not on statin treatment and without pre-existing CVD from the IQVIA Medical Research Data United Kingdom primary care database and then followed them up until the first diagnosis of CVD, ischemic heart disease, or stroke/transient ischemic attack.

Pharmacologic Treatments for Dementia and the Risk of Developing Age-Related Macular Degeneration.

Importance: Age-related macular degeneration (AMD) is the leading cause of blindness among people aged 50 years or older worldwide. There is a need for new strategies for the prevention and treatment of AMD. There is some limited evidence to suggest the possibility of a protective association of dementia medications with the development of some types of AMD, but the evidence is weak.

Bayesian blockwise inference for joint models of longitudinal and multistate data with application to longitudinal multimorbidity analysis.

Multistate models provide a useful framework for modelling complex event history data in clinical settings and have recently been extended to the joint modelling framework to appropriately handle endogenous longitudinal covariates, such as repeatedly measured biomarkers, which are informative about health status and disease progression. However, the practical application of such joint models faces considerable computational challenges. Motivated by a longitudinal multimorbidity analysis of large-scale UK health records, we introduce novel Bayesian inference approaches for these models that are capable of handling complex multistate processes and large datasets with straightforward implementation.