Background: Older advanced stage cancer patients, with changes in nutritional status, represent an important demand for palliative care. The aim was to determine the effects of 4 weeks of chocolate consumption on the nutritional status of older cancer patients in palliative care.
Methods: Older cancer patients in palliative care with ambulatory (n = 46) monitoring were randomized to control (CG, n = 15), intervention with 55% cocoa chocolate (IG1, n = 16) and intervention with white chocolate (IG2, n = 15) groups and evaluated before and after 4 weeks for nutritional status (primary outcome), evaluated by the Mini Nutritional Assessment tool (MNA). Food consumption, anthropometry, body composition, laboratory parameters and quality of life (QL) with the European Organization for the Research and Treatment of Cancer instrument were also evaluated.
Results: IG1 progressed with increased screening (estimated difference [95% CI]: - 1.3 [- 2.2;-0.4], p < 0.01), and nutritional (estimated difference [95% CI]: - 1.3 [- 2.5;-0.1], p = 0.04) scores on the MNA, with no change in anthropometry and body composition. Regarding antioxidant capacity, reduced glutathione levels increased (estimated difference [95% CI]: - 0.8 [- 1.6;-0.02], p = 0.04) and malondealdehyde levels decreased in IG2 (estimated difference [95% CI]:+ 4.9 [+ 0.7;+ 9.1], p = 0.02). Regarding QL, functionality improved in IG1, with higher score in the functional domain (estimated difference [95% CI]:-7.0 [- 13.3;-0.7], p = 0.03).
Conclusions: The consumption of chocolate with a greater cocoa content may contribute to the improvement of the nutritional status and functionality among older cancer patients in palliative care. The consumption of white chocolate was associated with improved oxidative stress.
Trial Registration: A randomized clinical trial (ClinicalTrials.gov NCT04367493 ).
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http://dx.doi.org/10.1186/s12904-021-00893-1 | DOI Listing |
J Am Geriatr Soc
December 2024
Division of Geriatric and Palliative Medicine, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA.
BMC Med Inform Decis Mak
December 2024
Nivel, Netherlands Institute for Health Services Research, Otterstraat 118, Utrecht, 3513 CR, The Netherlands.
Background: At the beginning of the COVID-19 pandemic in 2020, little was known about the spread of COVID-19 in Dutch nursing homes while older people were particularly at risk of severe symptoms. Therefore, attempts were made to develop a nationwide COVID-19 repository based on routinely recorded data in the electronic health records (EHRs) of nursing home residents. This study aims to describe the facilitators and barriers encountered during the development of the repository and the lessons learned regarding the reuse of EHR data for surveillance and research purposes.
View Article and Find Full Text PDFBMC Palliat Care
December 2024
The Palliative Care Center, Päijät-Häme Wellbeing Services County, Lahti, Finland.
Background: Studies show that hospital deaths bring significant health care costs, and the involvement of specialized palliative care can help to reduce these costs. The aim of this retrospective registry-based study was to evaluate end-of-life hospital costs in patients dying in a university hospital oncology ward, with or without specialized palliative outpatient clinic contact at any timepoint.
Methods: The study population consists of all patients who died in the Kuopio University Hospital oncology ward in the years 2012-2018 (n = 457).
BMC Med Res Methodol
December 2024
Erasmus School of Health Policy and Management, Erasmus University Rotterdam, Rotterdam, the Netherlands.
Background: The aim of this study is to develop a method we call "cost mining" to unravel cost variation and identify cost drivers by modelling integrated patient pathways from primary care to the palliative care setting. This approach fills an urgent need to quantify financial strains on healthcare systems, particularly for colorectal cancer, which is the most expensive cancer in Australia, and the second most expensive cancer globally.
Methods: We developed and published a customized algorithm that dynamically estimates and visualizes the mean, minimum, and total costs of care at the patient level, by aggregating activity-based healthcare system costs (e.
Am J Emerg Med
December 2024
Department of Anesthesiology and Critical Care, All India Institute of Medical Sciences, Bhubaneswar, India.
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