Polypharmacy, but not PIMs was significantly associated with readmission. Hospitalization should always be considered as a clue to individuate unnecessary polypharmacy and to reduce the burden of medications whenever possible.

The study shows that hypoactive delirium is the most common subtype among hospitalized older patients. Specific clinical features were associated with different delirium subtypes. The use of standardized instruments can help to characterize the phenomenology of different motor subtypes of delirium.

Mild-to-moderate CKD is highly pervasive among frail elderly individuals and the severity of renal dysfunction is independently correlated with that of cognitive impairment. Future studies are advocated to clarify whether the combination of kidney and mental dysfunction may portend a higher risk of worsen outcomes in this high-risk population.

Background The topic of prognosis in COVID-19 research may be important in adopting appropriate clinical decisions. Multidimensional prognostic index (MPI) is a frailty assessment tool widely used for stratifying prognosis in older people, but data regarding inpatients, affected by COVID-19, are not available. Objectives To evaluate whether MPI can predict in-hospital mortality and the admission to intensive care unit (ICU) in older inpatients hospitalized for COVID-19 infection. Methods In this longitudinal, Italian, multi-center study, older patients with COVID-19 were included. MPI was calculated using eight different domains typical of comprehensive geriatric assessment and categorized in three groups (MPI 1 ≤ 0.33, MPI 2 0.34–0.66, MPI 3 > 0.66). A multivariable Cox's regression analysis was used reporting the results as hazard ratios (HRs) with 95% confidence intervals (CIs). Results 227 older patients hospitalized for SARS-CoV-2 infection were enrolled (mean age: 80.5 years, 59% females). Inpatients in the MPI 3 were subjected less frequently than those in the MPI 1 to non-invasive ventilation (NIV). In the multivariable analysis, people in MPI 3 experienced a higher risk of in hospital mortality (HR = 6.30, 95%CI: 1.44–27.61), compared to MPI 1. The accuracy of MPI in predicting in hospital mortality was good (Area Under the Curve (AUC) = 0.76, 95%CI: 0.68–0.83). People in MPI 3 experienced a significant longer length of stay (LOS) in hospital compared to other participants. No association between MPI and ICU admission was found. Conclusions Frailty- as assessed by high MPI score - was associated with a significant higher risk of in-hospital mortality, longer LOS, and lower use NIV, whilst the association with ICU admission was not significant. These findings suggest that prognostic stratification by using the MPI could be useful in clinical decision making in older inpatients affected by COVID-19.

Data show the effectiveness of combined administration versus the AchEI alone, mainly in slowing disease progression and consequently in disease management, both in AD and in MD. No differences regarding the combined treatment were found between the two groups. Treatment with citicoline plus rivastigmine was safe and well tolerated.