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Purpose: Up to 26% of residents in nursing homes (NHs) are affected by cancer. Their care represents a challenge, because NHs are not usually considered a setting focused on oncologic management and care. The aim of this paper is to describe socio-demographic and clinical features of patients with cancer residing in European NHs., Methods: Cross-sectional study based on data from the Services and Health for Elderly in Long TERm care (SHELTER) study. Participants were assessed through the interRAI-LTCF, which includes cancer assessment., Results: Among 4140 participants (mean age 83.4 years; female 73%), 442 (10.7%) had cancer. Patients with cancer had a higher prevalence of do-not-resuscitate directives compared to those without cancer (21.1% vs 16.5%, p = 0.019). Variables directly associated with cancer were male sex (adj OR 1.67, 95% CI 1.36-2.05), pain (adj OR 1.43, 95% CI 1.16-1.77), fatigue (adj OR 1.25, 95% CI 1.01-1.55), polypharmacy (adj OR 1.59, 95% CI 1.21-2.08) and falls (adj OR. 1.30, 95% CI 1.01-1.67). Dementia was inversely associated with cancer (adj OR 0.74, 95% CI 0.58-0.94). Symptomatic drugs such as opioids (23.5% vs 12.2, p < .001), NSAIDS (7.2% vs 3.9%, p = 0.001), antidepressants (39.1% vs 33.8%, p = 0.026) and benzodiazepines (40.3% vs 34.3, p = 0.012) were all prescribed more in participants with cancer compared to those without cancer., Conclusions: Cancer patients are prevalent in European NHs and they show peculiar characteristics. Studies are needed to evaluate the impact of a supportive care approach on the management of NHs residents with cancer throughout all its phases, until the end-of-life care., (© 2021. The Author(s).)

Background: Older adults are a complex population, at risk of adverse events during and after hospital stay., Aim: To investigate the association of walking speed (WS) and grip strength (GS) with adverse outcomes, during and after hospitalization, among older individuals admitted to acute care wards., Methods: Multicentre observational study including 1123 adults aged ≥ 65 years admitted to acute wards in Italy. WS and GS were measured at admission and discharge. Outcomes were length-of-stay, in-hospital mortality, 1-year mortality and rehospitalisation. Length-of-stay was defined as a number of days from admission to discharge/death., Results: Mean age was 81 ± 7 years, 56% were women. Compared to patients with WS ≥ 0.8 m/sec, those unable to perform or with WS < 0.8 m/sec had a higher likelihood of longer length-of-stay (OR 2.57; 95% CI 1.63-4.03 and 2.42; 95% CI 1.55-3.79) and 1-year mortality and rehospitalization (OR 1.47, 95% CI 1.07-2.01; OR 1.57, 95% CI 1.04-2.37); those unable to perform WS had a higher likelihood of in-hospital mortality (OR 9.59; 95% CI 1.23-14.57) and 1-year mortality (OR 2.60; 95% CI 1.37-4.93). Compared to good GS performers, those unable to perform had a higher likelihood of in-hospital mortality (OR 17.43; 95% CI 3.87-28.46), 1-year mortality ( OR 3.14; 95% CI 1.37-4.93) and combination of 1-year mortality and rehospitalisation (OR 1.46; 95% CI 1.01-2.12); poor GS performers had a higher likelihood of 1-year mortality (OR 1.39; 95% CI 1.03-2.35); participants unable to perform GS had a lower likelihood of rehospitalisation (OR 0.59; 95% CI 0.39-0.89)., Conclusion: Walking speed (WS) and grip strength (GS) are easy-to-assess predictors of length-of-stay, in-hospital and post-discharge death and should be incorporated in the standard assessment of hospitalized patients.