Prevalence and outcomes of atrial fibrillation in older people living in care homes in Wales: a routine data linkage study 2003–2018

Ritchie, Leona A; Harrison, Stephanie L; Penson, Peter E.; Akbari, Ashley; Torabi, Fatemeh; Hollinghurst, Joe; Harris, Daniel; Oke, Oluwakayode B; Akpan, Asangaedem; Halcox, Julian; Rodgers, Sarah; Lip, Gregory Y.H.; Lane, Deirdre A.

doi:10.1093/ageing/afac252

Cited by 11 publications

(3 citation statements)

References 25 publications

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“…The distribution of causes of death will be presented as percentages, with the proportion of deaths defined as the number of specific causes of death divided by the total number of deaths in PCa patients. To further assess the interaction between PCa, CVD-related deaths and other causes of death among PCa patients, a competing risk models were used to estimate the crude cumulative mortality and further plotted according to risk stratification ( 31 , 32 ). Standardized mortality ratios (SMR) were used to compare the CVD-related mortality among PCa patients with the general male population, stratified according to risk stratification and characteristics ( 33 ).…”

Section: Methodsmentioning

confidence: 99%

Cardiovascular mortality by cancer risk stratification in patients with localized prostate cancer: a SEER-based study

Luo,

Chi,

Zhao

et al. 2023

Front. Cardiovasc. Med.

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PurposeThe risk of cardiovascular disease (CVD) mortality in patients with localized prostate cancer (PCa) by risk stratification remains unclear. The aim of this study was to determine the risk of CVD death in patients with localized PCa by risk stratification.Patients and methodsPopulation-based study of 340,806 cases in the Surveillance, Epidemiology, and End Results (SEER) database diagnosed with localized PCa between 2004 and 2016. The proportion of deaths identifies the primary cause of death, the competing risk model identifies the interaction between CVD and PCa, and the standardized mortality rate (SMR) quantifies the risk of CVD death in patients with PCa.ResultsCVD-related death was the leading cause of death in patients with localized PCa, and cumulative CVD-related death also surpassed PCa almost as soon as PCa was diagnosed in the low- and intermediate-risk groups. However, in the high-risk group, CVD surpassed PCa approximately 90 months later. Patients with localized PCa have a higher risk of CVD-related death compared to the general population and the risk increases steadily with survival (SMR = 4.8, 95% CI 4.6–5.1 to SMR = 13.6, 95% CI 12.8–14.5).ConclusionsCVD-related death is a major competing risk in patients with localized PCa, and cumulative CVD mortality increases steadily with survival time and exceeds PCa in all three stratifications (low, intermediate, and high risk). Patients with localized PCa have a higher CVD-related death than the general population. Management of patients with localized PCa requires attention to both the primary cancer and CVD.

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Section: Methodsmentioning

confidence: 99%

Cardiovascular mortality by cancer risk stratification in patients with localized prostate cancer: a SEER-based study

Luo,

Chi,

Zhao

et al. 2023

Front. Cardiovasc. Med.

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“…The majority of studies were published between 2020 and the end of 2022. The countries in which the studies were conducted were diverse: six studies were conducted in the US [20][21][22][23][24][25], four in Australia [26][27][28][29], three in Japan [30][31][32] and China [33][34][35], two in Korea [36,37], France [38,39], Spain [40,41], one in the United Kingdom [42], the Netherlands [43], Ireland [44], Canada [45], and Belgium [46]. The number of included LTC facilities and the size of the study population varied greatly between publications.…”

Section: Characteristics Of the Included Studiesmentioning

confidence: 99%

Data science techniques to gain novel insights into quality of care: a scoping review of long-term care for older adults

Hendriks,

Hacking,

Verbeek

et al. 2024

Explor Digit Health Technol

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Background: The increase in powerful computers and technological devices as well as new forms of data analysis such as machine learning have resulted in the widespread availability of data science in healthcare. However, its role in organizations providing long-term care (LTC) for older people LTC for older adults has yet to be systematically synthesized. This analysis provides a state-of-the-art overview of 1) data science techniques that are used with data accumulated in LTC and for what specific purposes and, 2) the results of these techniques in researching the study objectives at hand. Methods: A scoping review based on guidelines of the Joanna Briggs Institute. PubMed and Cumulative Index to Nursing and Allied Health Literature (CINAHL) were searched using keywords related to data science techniques and LTC. The screening and selection process was carried out by two authors and was not limited by any research design or publication date. A narrative synthesis was conducted based on the two aims. Results: The search strategy yielded 1,488 studies: 27 studies were included of which the majority were conducted in the US and in a nursing home setting. Text-mining/natural language processing (NLP) and support vector machines (SVMs) were the most deployed methods; accuracy was the most used metric. These techniques were primarily utilized for researching specific adverse outcomes including the identification of risk factors for falls and the prediction of frailty. All studies concluded that these techniques are valuable for their specific purposes. Discussion: This review reveals the limited use of data science techniques on data accumulated in or by LTC facilities. The low number of included articles in this review indicate the need for strategies aimed at the effective utilization of data with data science techniques and evidence of their practical benefits. There is a need for a wider adoption of these techniques in order to exploit data to their full potential and, consequently, improve the quality of care in LTC by making data-informed decisions.

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“…Older aged adults with multiple co-morbidities are concentrated in care homes. In a retrospective study of residential care homes in Wales, AF prevalence was 17.4% with an associated increased stroke risk (25.4% vs. 15.0%) [ 5 ]. Despite the benefits of oral anticoagulants (OACs) to reduce stroke risk, older people with increased frailty and polypharmacy are less likely to receive treatment [ 3 , 6 ].…”

Section: Introductionmentioning

confidence: 99%

Screening for atrial fibrillation in care homes using pulse palpation and the AliveCor Kardia Mobile® device: a comparative cross-sectional pilot study

Savickas,

Stewart,

Short

et al. 2023

Int J Clin Pharm

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Background Atrial fibrillation (AF) is a major cause of stroke in older people. Exacerbated by age and co-morbidities, residents of care homes are more likely to develop AF and less likely to receive oral anticoagulants. Aim To determine the prevalence of AF using the design and methodology of the Pharmacists Detecting Atrial Fibrillation (PDAF) study in a care home setting. Method A cross-sectional AF screening pilot study within four UK care homes, three residential and one residential/nursing. Screening followed the original PDAF protocol: a manual pulse check, followed by a single-Lead ECG (SLECG, AliveCor Kardia Mobile (KMD)) delivered by a pharmacist. All recorded SLECG were reviewed by a cardiologist and any residents requiring follow-up investigations were referred to their general practitioner. Results Fifty-three of 112 care home residents participated. From 52 SLECGs recorded, the cardiologist interpreted 13.5% (7/52) as having possible AF of which 9.6% (5/52) were previously unknown. One resident with previously unknown AF received anticoagulation. Conclusion This study has shown a need for AF screening in care homes and that elements of the PDAF screening protocol are transferable in this setting. Early diagnosis and treatment of AF are essential to reduce the risk of stroke in this population.

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Prevalence and outcomes of atrial fibrillation in older people living in care homes in Wales: a routine data linkage study 2003–2018

Cited by 11 publications

References 25 publications

Cardiovascular mortality by cancer risk stratification in patients with localized prostate cancer: a SEER-based study

Cardiovascular mortality by cancer risk stratification in patients with localized prostate cancer: a SEER-based study

Data science techniques to gain novel insights into quality of care: a scoping review of long-term care for older adults

Screening for atrial fibrillation in care homes using pulse palpation and the AliveCor Kardia Mobile® device: a comparative cross-sectional pilot study

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