Saturated and trans-fatty acids in UK takeaway food

The aim of the study was to analyze the saturated fatty acid (SFA) and trans-fatty acid (TFA) contents of popular takeaway foods in the UK (including English, pizza, Chinese, Indian and kebab cuisine). Samples of meals were analyzed by an accredited public analyst laboratory for SFA and TFA. The meals were highly variable for SFA and TFA. English and Pizza meals had the highest median amount of SFA with 35.7?g/meal; Kebab meals were high in TFA with up to 5.2?g/meal. When compared to UK dietary reference values, some meals exceeded SFA and TFA recommendations from just one meal. Takeaway food would be an obvious target to reduce SFA and TFA contents and increase the potential of meeting UK recommendations. Strategies such as reformulation and smaller takeaway portion sizes warrant investigation.     

Experiences of nursing home staff using the targeted interdisciplinary model for evaluation and treatment of neuropsychiatric symptoms (TIME) – a qualitative study

Background/Aims: Neuropsychiatric symptoms (NPS) in dementia pose great challenges for residents and staff in nursing homes. The Targeted Interdisciplinary Model for Evaluation and Treatment of Neuropsychiatric Symptoms (TIME) has recently in a randomized controlled trial demonstrated reductions in NPS. We explored the participating staff's experiences with the model and how it meets the challenges when dealing with the complexity of NPS.

Methods: Three to six months after the end of the intervention, we interviewed 32 of the caregivers, leaders, and physicians participating in the trial, in five focus groups. We used thematic content analysis.

Results: The analysis yielded two main themes: (1) a systematic reflection method enhanced learning at work; (2) the structure of the approach helped staff to cope with NPS in residents with dementia.

Conclusion: TIME shifts the way of learning for the staff from a traditional to a more innovative and reflection-based learning through a process of learning how to learn at work. The staff's experienced increased coping in their approach to complex problems. Our results emphasise the importance of a structured and biopsychosocial approach to NPS in clinical practice. Future research should explore models for integrating situated learning in daily routines in nursing homes.     

Prognostic Value of Lung Ultrasonography in Older Nursing Home Residents Affected by COVID-19

ObjectivesLung ultrasonographic (LUS) imaging may play an important role in the management of patients with COVID-19–associated lung injury, particularly in some special populations. However, data regarding the prognostic role of the LUS in nursing home residents, one of the populations most affected by COVID-19, are not still available.DesignRetrospective.Settings and ParticipantsNursing home residents affected by COVID-19 were followed up with an LUS from April 8 to May 14, 2020, in Chioggia, Venice.MethodsCOVID-19 was diagnosed through a nasopharyngeal swab. LUS results were scored using a 12-zone method. For each of the 12 zones (2 posterior, 2 anterior, 2 lateral, for both left and right lungs), the possible score ranged from 0 to 3 (1 = presence of B lines, separated, with <50% of space from the pleural line; 2 = presence of B lines, separated, with >50% of space from the pleural line; 3 = lung thickening with tissuelike aspect). The total score ranged from 0 to 36. Mortality was assessed using administrative data. Data regarding accuracy (and related parameters) were reported.ResultsAmong 175 nursing home residents, 48 (mean age: 84.1 years; mainly female) were affected by COVID-19. Twelve died during the follow-up period. The mean LUS score was 3. The area under the curve of LUS in predicting mortality was 0.603 [95% confidence interval (CI): 0.419-0.787], and it increased to 0.725 (95% CI: 0.41-0.99) after including follow-up LUS controls. Taking an LUS score ≥4 as exposure variable and mortality as outcome, the sensitivity was 58.33% and specificity 63.89%, with a positive likelihood ratio of 1.62 and a negative of 0.65.Conclusions and ImplicationsLUS is able to significantly predict mortality in nursing home residents affected by COVID-19, suggesting that this simple tool can be routinely used in this setting instead of more invasive techniques available only in hospital.