Sayer AA

ObjectivesTo estimate the prevalence of multiple long-term conditions (MLTC) among people accessing hospital care in North East England, and to assess associations with age, sex, ethnicity and neighbourhood deprivation.DesignAnalysis of ele…

ObjectivesTo evaluate how UK guidelines for individual health conditions consider coexisting multiple long term conditions and to propose improvements to guideline development processes so that guidelines appropriately account for and consi…

Background The transformation of the National Health Service (NHS), outlined in the 10 Year Health Plan for England, must take account of the inexorable rise in the prevalence of multiple long-term conditions (MLTC). However, most evidence…

The prevalence of multiple long-term conditions (MLTC) is increasing. It is essential to develop strategies to prevent and manage MLTC; however, the biological mechanisms underlying MLTC are not yet clearly understood. We used UK Biobank da…

ObjectivesThis study aims to determine whether machine learning can identify specific combinations of long-term conditions (LTC) associated with increased sarcopenia risk and hence address an important evidence gap-people with multiple LTC …

PurposeGreater transparency and consistency when defining multimorbidity in different settings is needed. We aimed to: (1) adapt published principles that can guide the selection of long-term conditions for inclusion in research studies of …