Healthy Aging through Pervasive Predictive Analytics for Prevention and Rehabilitation of Chronic Conditions

Author(s):  
Maria Claudia Buzzi ◽  
Marina Buzzi ◽  
Amaury Trujillo
PLoS ONE ◽  
2021 ◽  
Vol 16 (5) ◽  
pp. e0251944
Author(s):  
Kate Alford ◽  
Stephanie Daley ◽  
Sube Banerjee ◽  
Jaime H. Vera

Quality of life (QoL) is recognized as an essential end point in the disease management of chronic conditions such as HIV with calls to include good QoL as a ‘fourth 90’ in the 90-90-90 testing and treatment targets introduced by World Health Organization in 2016. Cognitive impairments impact a broad spectrum of experiences and are a common issue effecting people living with HIV (PLWH). Despite this, few studies have examined QoL in PLWH who also have a cognitive disorder. This study aimed to synthesize and describe what is known about QoL in those living with HIV-associated neurocognitive disorders (HAND). A scoping review of peer-reviewed literature was conducted to identify how QoL has been investigated and measured in PLWH with HAND, and how PLWH with HAND report and describe their QoL. We searched PsychInfo, Medline, Scopus, and Web of Science along with hand-searching reference lists from relevant studies found. Included studies were those published in English after 1st January 2003 which included PLWH with cognitive impairment not due to other pre-existing conditions. Fifteen articles met criteria for inclusion. Two studies measured QoL as a primary aim, with others including QoL assessment as part of a broader battery of outcomes. The MOS-HIV and SF-36 were the most commonly used measures of overall QoL, with findings generally suggestive of poorer overall QoL in PLWH with HAND, compared to PLWH without cognitive impairment. Studies which examined dimensions of QoL focused exclusively on functionality, level of independence, and psychological QoL domains. There is a considerable dearth of research examining QoL in PLWH with HAND. The initiatives which advocate for healthy aging and improved QoL in PLWH must be extended to include and understand the experiences those also living with cognitive impairment. Research is needed to understand the broad experiential impacts of living with these two complex, chronic conditions, to ensure interventions are meaningful to patients and potential benefits are not missed.


Author(s):  
Enoch Chan ◽  
Sai Wang Seto ◽  
Tsoi Ming Au Yeung ◽  
Gabriel Hoi Huen Chan

Chronic conditions are important problems for an aging society. They impede on healthy aging and increases the cost of living due to increased medical cost. The most prevalent chronic conditions faced by the elderly population are hypertension, high cholesterol and diabetes mellitus. They increase the risk of developing atherosclerosis, a chronic condition which causes heart attack and stroke. This chapter provides a review on existing therapeutics for the treatment of cardiovascular disease, and briefly discusses their side effects. This chapter also provides a brief introduction to Traditional Chinese Medicine (TCM), and its development in ancient China. This will be followed by a discussion on the recent research on the use of Chinese herbal medicine (CHM) in the treatment of cardiovascular diseases, and the potentials and challenges of incorporating CHM in mainstream healthcare system.


Author(s):  
Enoch Chan ◽  
Sai Wang Seto ◽  
Tsoi Ming Au Yeung ◽  
Gabriel Hoi Huen Chan

Chronic conditions are important problems for an aging society. They impede on healthy aging and increases the cost of living due to increased medical cost. The most prevalent chronic conditions faced by the elderly population are hypertension, high cholesterol and diabetes mellitus. They increase the risk of developing atherosclerosis, a chronic condition which causes heart attack and stroke. This chapter provides a review on existing therapeutics for the treatment of cardiovascular disease, and briefly discusses their side effects. This chapter also provides a brief introduction to Traditional Chinese Medicine (TCM), and its development in ancient China. This will be followed by a discussion on the recent research on the use of Chinese herbal medicine (CHM) in the treatment of cardiovascular diseases, and the potentials and challenges of incorporating CHM in mainstream healthcare system.


2015 ◽  
Vol 20 (10) ◽  
pp. 1768-1774 ◽  
Author(s):  
Daniel McCormack ◽  
Xiaomei Mai ◽  
Yue Chen

AbstractObjectiveTo determine the prevalence of vitamin D supplement use in Canadian adults and associations with demographic and socio-economic variables.DesignData from the Healthy Aging module of the Canadian Community Health Survey were used to investigate the prevalence of vitamin D supplement use in Canadians aged 45 years and over. The prevalence of supplement use stratified by various behavioural and demographic characteristics was calculated and adjusted models were used to find associations with those factors.SettingThe ten provinces of Canada.SubjectsCanadians aged 45 years and over who participated in the Healthy Aging module of the Canadian Community Health Survey from 2008–2009.ResultsThe highest observed prevalence for women was 48·0 % in the 65–69 years age group and the highest prevalence for men was 25·3 % in the 70–74 years age group. Women had higher odds of vitamin D supplement use than men in all age groups. Not using supplements was more common in smokers, those who did not engage in leisure-time physical activities and who were either overweight or obese. Vitamin D supplement use increased with household income and level of education, and decreased with self-perceived health. Supplement use was higher in those with chronic conditions.ConclusionsThe inverse association with self-perceived health could be partly explained by age, chronic conditions and increased use of health-care services. Associations with higher income and education suggest a strong socio-economic influence and that individuals may not have the expendable income to purchase vitamin D supplements or knowledge of their health benefits.


2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S58-S58
Author(s):  
Jeffrey E Stokes ◽  
Elliane Irani ◽  
Patricia A Thomas

Abstract The purpose of this symposium is twofold: (1) To present innovative research linking social relationships, isolation, and well-being among older adults, and (2) To highlight new and emerging scholars in the Behavioral and Social Sciences section of GSA. The papers in this symposium examine the repercussions of numerous relationships for well-being in later life. Huo and colleagues examine the impacts of contact with close and not-close social partners on physical activity, highlighting differences by gender. Polenick and colleagues focus on perhaps the closest of relationships in later life: marriage, analyzing longitudinal associations between discordant chronic conditions and depressive symptoms among older couples. Upenieks takes an intergenerational perspective, examining the embeddedness of adult children in older adults’ networks in the context of both depression onset and chronically high depressive symptomology. This paper also highlights the consequences of well-being for older adults’ social isolation, and not merely the reverse. Hladek and colleagues explore the subjective side of isolation among older adults with chronic disease, noting links between loneliness and self-efficacy that may have clinical and interventional significance. Lastly, Meinertz and Gilligan explore potential gaps in service provision that may increase rural older adults’ risk of isolation and abuse. Taken together, these five papers underscore the importance of various social relationships for older adults’ well-being, and suggest implications for how best to promote healthy aging. As discussant, Thomas will assess the strengths and limitations of these papers, and consider the contributions these studies – and new scholars – can make to the field.


2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 630-630
Author(s):  
Maki Karakida ◽  
Chae Man Lee ◽  
Taylor Jansen ◽  
Shu Xu ◽  
Frank Porell ◽  
...  

Abstract The risk for multimorbidity increases with age. Community burden of comorbidities in New England (NE) was assessed by comparing state and community rates of two measures (having no comorbidities and having 4 or more) among Medicare beneficiaries age 65+ in CT, MA, NH, and RI. Data sources were the Medicare Current Beneficiary Summary File (2014-2017) and the American Community Survey (2014-2018). Small area estimation techniques were used to calculate age-sex adjusted community rates. Multimorbidity was measured as people with zero or with 4 or more of the following chronic conditions: Alzheimer’s disease, asthma, atrial fibrillation, cancer (breast, colorectal, lung, and prostate), kidney disease, COPD, depression, diabetes, congestive heart failure, hypertension, hyperlipidemia, ischemic heart disease, osteoporosis, arthritis, and stroke. Rates for 4+ conditions: RI 63.8% (45.76-70.69%), CT 61.8% (47.82-70.05%), MA 60.7% (40-74.96%), NH 54.4% (36.67-62.99%). Results were mapped, showing the statewide and regional distribution of rates. Rates were much higher for having 4+ chronic conditions than not having any comorbidities. RI had the highest rates of 4+ and in MA the highest chronic disease rates were found in lower socioeconomic communities. CT has the highest number of diverse older residents and dual-eligible beneficiaries for Medicare and Medicaid in NE. The rates show late-life health disparities that have implications for independent living, quality of life, and mortality suggesting the need for policies to provide equitable access to care and resources to disadvantaged NE communities.


Author(s):  
Enoch Chan ◽  
Sai Wang Seto ◽  
Tsoi Ming Au Yeung ◽  
Gabriel Hoi Huen Chan

Chronic conditions are important problems for an aging society. They impede on healthy aging and increases the cost of living due to increased medical cost. The most prevalent chronic conditions faced by the elderly population are hypertension, high cholesterol and diabetes mellitus. They increase the risk of developing atherosclerosis, a chronic condition which causes heart attack and stroke. This chapter provides a review on existing therapeutics for the treatment of cardiovascular disease, and briefly discusses their side effects. This chapter also provides a brief introduction to Traditional Chinese Medicine (TCM), and its development in ancient China. This will be followed by a discussion on the recent research on the use of Chinese herbal medicine (CHM) in the treatment of cardiovascular diseases, and the potentials and challenges of incorporating CHM in mainstream healthcare system.


Author(s):  
Shinji Tarumi ◽  
Wataru Takeuchi ◽  
George Chalkidis ◽  
Salvador Rodriguez-Loya ◽  
Junichi Kuwata ◽  
...  

Abstract Objectives Artificial intelligence (AI), including predictive analytics, has great potential to improve the care of common chronic conditions with high morbidity and mortality. However, there are still many challenges to achieving this vision. The goal of this project was to develop and apply methods for enhancing chronic disease care using AI. Methods Using a dataset of 27,904 patients with diabetes, an analytical method was developed and validated for generating a treatment pathway graph which consists of models that predict the likelihood of alternate treatment strategies achieving care goals. An AI-driven clinical decision support system (CDSS) integrated with the electronic health record (EHR) was developed by encapsulating the prediction models in an OpenCDS Web service module and delivering the model outputs through a SMART on FHIR (Substitutable Medical Applications and Reusable Technologies on Fast Healthcare Interoperability Resources) web-based dashboard. This CDSS enables clinicians and patients to review relevant patient parameters, select treatment goals, and review alternate treatment strategies based on prediction results. Results The proposed analytical method outperformed previous machine-learning algorithms on prediction accuracy. The CDSS was successfully integrated with the Epic EHR at the University of Utah. Conclusion A predictive analytics-based CDSS was developed and successfully integrated with the EHR through standards-based interoperability frameworks. The approach used could potentially be applied to many other chronic conditions to bring AI-driven CDSS to the point of care.


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