Closing the Gaps in Care of Dyslipidemia: Revolutionizing Management with Digital Health and Innovative Care Models.

Although great progress has been made in the diagnostic and treatment options for dyslipidemias, unawareness, underdiagnosis and undertreatment of these disorders remain a significant global health concern. Growth in digital applications and newer models of care provide novel tools to improve the management of chronic conditions such as dyslipidemia. In this review, we discuss the evolving landscape of lipid management in the 21st century, current treatment gaps and possible solutions through digital health and new models of care. Our discussion begins with the history and development of value-based care and the national establishment of quality metrics for various chronic conditions. These concepts on the level of healthcare policy not only inform reimbursements but also define the standard of care. Next, we consider the advances in atherosclerotic cardiovascular disease risk score calculators as well as evolving imaging modalities. The impact and growth of digital health, ranging from telehealth visits to online platforms and mobile applications, will also be explored. We then evaluate the ways in which machine learning and artificial intelligence-driven algorithms are being utilized to address gaps in lipid management. From an organizational perspective, we trace the redesign of medical practices to incorporate a multidisciplinary team model of care, recognizing that atherosclerotic cardiovascular disease risk is multifaceted and requires a comprehensive approach. Finally, we anticipate the future of dyslipidemia management, assessing the many ways in which atherosclerotic cardiovascular disease burden can be reduced on a population-wide scale.

All-cause mortality in older adults with affective disorders and dementia under treatment with antipsychotic drugs: A matched-cohort study.

We aimed to compare the mortality risk between patients with affective disorders and dementia under treatment with antipsychotics. To do this, a matched-cohort study based on an electronic database of a tertiary teaching hospital in Argentina was performed. Antipsychotic exposure was defined as any antipsychotic drug initiated by the patient. Primary outcome was defined as all-cause mortality during the 5-year follow-up period. To estimate the association between baseline diagnosis (affective disorders vs. dementia) and all-cause mortality, we used a multivariate generalized linear model with robust standard errors. Of 1008 eligible patients, 114 age-matched pairs were included in the present study. The primary event occurred in 23 patients (20%) and 17 patients (15%) in the dementia and affective disorder group respectively. In the adjusted model, the risk of all cause mortality for the affective disorders group was 0.92 times the risk for the dementia group (95%CI, 0.54-1.59, p = 0.77). In conclusion, older patients with affective disorders starting antipsychotic treatment presented with a similar risk of all-cause mortality during the 5-year follow-up when compared to older patients with dementia who were also initiating either typical or atypical antipsychotic medications. Closer medical attention to older patients with mental conditions under antipsychotic treatment remains warranted.