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Background: Frailty detection with comprehensive geriatric assessment (CGA) is of pivotal importance in older patients with cancer to avoid over- or under-treatment and to detect those at increased risk for poor outcomes. Several tools have been developed to capture the complexity of frailty, but only a few were explicitly conceived for older adults with cancer. The study aimed at developing and validating a multidimensional, easy-to-use diagnostic tool for early-risk stratification in patients with cancer, called the Multidimensional Oncological Frailty Scale (MOFS). Methods: In this single-center prospective study, we consecutively enrolled 163 older women (age ≥ 75 years) with breast cancer, screened with a G8 score ≤ 14 during the outpatient preoperative evaluation at our breast centre, as the development cohort. Seventy patients with different types of cancer admitted to our OncoGeriatric Clinic served as the validation cohort. Using stepwise linear regression analysis, we evaluated the relationship between Multidimensional Prognostic Index (MPI) and CGA items, and, finally, realized a screening tool based on the combination of the significant variables. Results: The mean age of the study population was 80.4 ± 5.8 years, while the mean age of the validation cohort was 78.6 ± 6.6 years [42 women (60%)]. A composite model of the Clinical Frailty Scale, G8, and hand grip strength test showed a strong correlation with MPI (R= −0.712, p < 0.001). The MOFS accuracy in the prediction of mortality was optimal in both the development and the validation cohorts (AUC 0.82 and 0.87; p < 0.001 and 0.003, respectively). Conclusion: MOFS represents a new, accurate, quick-to-use frailty screening tool for stratifying the risk of mortality in geriatric cancer patients.

The incidence of “Long COVID” syndrome appears to be increasing, particularly in the geriatric population. At present, there are few data regarding the relationship between long COVID and the risk of re-hospitalization in the oldest old survivors. Patients older than 80 years consecutively hospitalized for COVID-19 in our tertiary care hospital were enrolled and followed after discharge in a 12-month ambulatory program. A comprehensive geriatric assessment (CGA), including functional capabilities and physical and cognitive performances, was performed at 6-month follow-up. Frailty degree was assessed using a 30-item frailty index. The re-hospitalization rate was assessed at 12-month follow-up through a computerized archive and phone interviews. Out of 100 patients discharged after hospitalization for COVID-19 (mean [SD] age 85 [4.0] years), 24 reported serious adverse events requiring re-hospitalization within 12 months. The most frequent causes of re-hospitalization were acute heart failure (HF), pneumonia and bone fracture (15.3% each). By multivariate logistic analysis, after adjustment for potential confounders, history of chronic HF [aOR: 3.00 (CI 95%: 1.10–8.16), p = 0.031] or chronic renal failure [aOR: 3.83 (CI 95%: 1.09–13.43), p = 0.036], the burden of comorbidity [(CIRSc) aOR: 1.95 (CI 95%: 1.28–2.97), p = 0.002] and frailty [aOR: 7.77 (CI 95%: 2.13–28.27), p = 0.002] resulted as independent predictors of re-hospitalization. One-fourth of the oldest old patients previously hospitalized for COVID-19 suffered from adverse events requiring re-hospitalization, two-thirds of them within three months after discharge. Frailty, the burden of comorbidity, history of chronic HF or chronic renal failure, but not COVID-19 disease severity, independently predicted re-hospitalization.

Background: Various models have been proposed to predict frailty, including those based on clinical criteria and phenotypes. However, a simple biomarker associated with frailty has been not yet identified. The aim of this study is to evaluate the relationship between free triiodothyronine (fT3)/free thyroxine (fT4) ratio value and the degree of frailty among three different cohorts of older individuals: (1) acutely ill hospitalized patients, (2) nursing-home (NH) residents, and (3) home-dwelling centenarians.Methods: We performed a secondary analysis of de-identified patient-level data from two prospective observational studies on acutely hospitalized older patients (Geriatric Acute Unit [GAU]), and home-dwelling centenarians (CENT), and a retrospective-prospective observational study on older NH residents. Demographic characteristics, along with a 30-items Frailty Index (FI) and serum thyrotropin, fT3 and fT4 measurements were obtained.Results: Six hundred fifteen individuals (aged 86.4 +/- 8.9 years; 55.1% females) were included in the study, including 298 (48.5%) GAU, 250 (40.6%) NH, and 67 (10.9%) CENT. A significant inverse relationship between fT3/fT4 ratio and FI values was observed (rho(s) = -0.17 [confidence interval; CI: -0.092 to 0.252], p < 0.001), and this was confirmed by logistic multivariate analysis (beta = -0.44, odds ratio [OR]: 0.64 [CI: 0.47-0.87], p < 0.001) (after adjustment for age, sex, and cohorts). Moreover, a progressively decreased mortality risk was associated with rising fT3/fT4 ratio (OR 0.60 [CI: 0.44-0.80] beta = -0.51, p < 0.001].Conclusions: The fT3/fT4 ratio value was inversely correlated with frailty degree and mortality risk in a large cohort of older individuals, including centenarians, regardless of their sex and clinical condition. fT3/fT4 ratio value could represent an easily measured independent biochemical marker of frailty degree in older people.

Hospitalization for acute SARS-CoV-2 infection confers an almost five-fold higher risk of post-discharge, all-cause mortality compared to controls from the general population. A negative impact on the functional autonomy of older patients, especially in cases of severe disease and prolonged hospitalization, has been recently described. However, little is known about the determinants of cause-specific mortality and loss of independence (LOI) in the activities of daily living (ADL) following COVID-19 hospitalization. Thus, the current prospective, multicenter study is aimed at identifying the determinants of post-discharge cause-specific mortality and the loss of autonomy in at least one ADL function. Older patients hospitalized for a SARS-CoV-2 infection were consecutively enrolled in an e-Registry from 1 March 2020, until 31 December 2020. After at least six months from discharge, patients were extensively re-evaluated according to a common protocol at the outpatient clinic of eight tertiary care Italian hospitals. Of 193 patients [109 (56.4%) men, mean age 79.9 ± 9.1 years], 43 (22.3%) died during follow-up. The most common causes of death were cardiovascular diseases (46.0%), respiratory failure (26.5%), and gastrointestinal and genitourinary diseases (8.8% each). Pre-morbid ADLs qualified as an independent mortality risk factor [adjusted HR 0.77 (95%CI: 0.63–0.95)]. Of 132 patients, 28 (21.2%) lost their independence in at least one ADL. The adjusted risk of LOI declined with a lower frailty degree [aOR 0.03 (95%CI: 0.01–0.32)]. In conclusion, at long-term follow-up after hospitalization for acute SARS-CoV-2 infection, more than 40% of older patients died or experienced a loss of functional independence compared to their pre-morbid condition. Given its high prevalence, the loss of functional independence after hospitalization for COVID-19 could be reasonably included among the features of the “Long COVID-19 syndrome” of older patients.

Hospitalization for acute SARS-CoV-2 infection confers an almost five-fold higher risk of post-discharge, all-cause mortality compared to controls from the general population. A negative impact on the functional autonomy of older patients, especially in cases of severe disease and prolonged hospitalization, has been recently described. However, little is known about the determinants of cause-specific mortality and loss of independence (LOI) in the activities of daily living (ADL) following COVID-19 hospitalization. Thus, the current prospective, multicenter study is aimed at identifying the determinants of post-discharge cause-specific mortality and the loss of autonomy in at least one ADL function. Older patients hospitalized for a SARS-CoV-2 infection were consecutively enrolled in an e-Registry from 1 March 2020, until 31 December 2020. After at least six months from discharge, patients were extensively re-evaluated according to a common protocol at the outpatient clinic of eight tertiary care Italian hospitals. Of 193 patients [109 (56.4%) men, mean age 79.9 +/- 9.1 years], 43 (22.3%) died during follow-up. The most common causes of death were cardiovascular diseases (46.0%), respiratory failure (26.5%), and gastrointestinal and genitourinary diseases (8.8% each). Pre-morbid ADLs qualified as an independent mortality risk factor [adjusted HR 0.77 (95%CI: 0.63-0.95)]. Of 132 patients, 28 (21.2%) lost their independence in at least one ADL. The adjusted risk of LOI declined with a lower frailty degree [aOR 0.03 (95%CI: 0.01-0.32)]. In conclusion, at long-term follow-up after hospitalization for acute SARS-CoV-2 infection, more than 40% of older patients died or experienced a loss of functional independence compared to their pre-morbid condition. Given its high prevalence, the loss of functional independence after hospitalization for COVID-19 could be reasonably included among the features of the "Long COVID-19 syndrome" of older patients.

Objectives: The GeroCovid Study is a multi-setting, multinational, and multi-scope registry that includes the GeroCovid home and outpatients' care cohort. The present study aims to evaluate whether outpatient and home care services with remote monitoring and consultation could mitigate the impact of the COVID-19 pandemic on mental and affective status, perceived well-being, and personal capabilities of outpatients and home care patients with cognitive disorders. Methods: Prospectively recorded patients in an electronic web registry provided by BlueCompanion Ltd. Up to October 31, 2020, the sample included 90 patients receiving regular care from the Center for Cognitive Disorders and Dementia in Catanzaro Lido, Italy. It was made of 52 ambulatory outpatients and 38 home care patients, mean age 83.3 +/- 7.54 years. Participants underwent a multidimensional assessment at baseline (T0) and after 90 days (T1). For each patient, we administered the Mini-Mental State Examination (MMSE) for cognitive functions, the Activities of Daily Living (ADL) and Instrumental ADL (IADL) scales for functional capabilities, the Cumulative Illness Rating Scale (CIRS) for comorbidities and their impact on patients' health, the 5-items Geriatric Depression Scale (GDS) for mood, and the Euro Quality of Life (EuroQoL) for perceived quality of life. Contacts with both ambulatory and home care patients were managed in person or via telephone, preferably through video calls (WhatsApp or FaceTime). Results: Contacts with patients were kept at T0 through telephone. At T1, visits were made in person for over 95% out of the cases. The ADL, IADL, CIRS, GDS, MMSE, and EuroQoL changed slightly between T0 and T1. Most of the patients were clinically stable over time on the majority of the scales explored, but behavioral changes were found in 24.4% of patients and anxiety and insomnia in 17.7% of patients. Conclusion: Our study suggests that contacts through telephone and video consultations are likely a

Type two diabetes mellitus (T2DM) represents a chronic condition with increasing prevalence worldwide among the older population. The T2DM condition increases the risk of micro and macrovascular complications as well as the risk of geriatric syndromes such as falls, fractures and cognitive impairment. The management of T2DM in the older population represents a challenge for the clinician, and a Comprehensive Geriatric Assessment should always be prioritized, in order to tailor the glycated hemoglobin target according to functional and cognitive status comorbidities, life expectancy and type of therapy. According to the most recent guidelines, older adults with T2DM should be categorized into three groups: healthy patients with good functional status, patients with complications and reduced functionality and patients at the end of life; for each group the target for glycemic control is different, also according to the type of treatment drug. The therapeutic approach should always begin with lifestyle changes; after that, several lines of therapy are available, with different mechanisms of action and potential effects other than glucose level reduction. Particular interest is growing in sodium-glucose cotransporter-2 inhibitors, due to their effect on the cardiovascular system. In this review, we evaluate the therapeutic options available for the treatment of older diabetic patients, to ensure a correct treatment approach.