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Background Plasma osteopontin (pOPN) is a promising aging-related biomarker among individuals with and without kidney disease. The interaction between sex, pOPN levels, and global and cardiorenal outcomes among older individuals was not previously evaluated.Methods In this study we investigated the association of pOPN with 24-month global mortality, major cardiovascular events (MACEs), MACEs + cardiovascular (CV) mortality, and renal decline among older individuals; we also evaluated whether sex modified observed associations. pOPN levels were measured in a cohort of 2013 outpatients (908 men and 1105 women) aged 75 years or more enrolled in the context of a multicenter prospective cohort study in Europe. Multivariable linear regression, Cox and Fine Gray models, and linear mixed regression models were fitted to evaluate whether sex modified the associations between biomarkers and study outcomes.Results In total, 2013 older participants with a median age of 79 years, 54.9% of whom women, were included in the study; increased pOPN levels were associated with all-cause mortality specifically among women [reduced fully adjusted model resulting from backward selection, hazard ratio, 95% confidence interval (CI): 1.84, 1.20-2.89]. Addition of pOPN to models containing age, eGFR, and albumin-to-creatinine ratio (ACR) improved the time-dependent area under the curve (AUC) at 6, 12, and 24 months, among women only. No significant association was found between the biomarker levels, MACE, and MACE + CV mortality. Conversely, increased baseline pOPN was associated with eGFR decline in all patients (-0.45, 95%CI: -0.68 to -0.22 ml/min/1.73 m2 year) but with slightly steeper declines in women compared to men (-0.57, -0.99 to -0.15 vs -0.47, -0.88 to -0.07).Conclusions pOPN levels were significantly lower in women than in men but associated with all-cause mortality in women only; increase in serum pOPN was associated with eGFR decline over time in all patients, but with stronger

Background: Neuropsychiatric symptoms (NPS) are prevalent in the early clinical stages of Alzheimer’s disease (AD) according to proxy-based instruments. Little is known about which NPS clinicians report and whether their judgment aligns with proxy-based instruments. We used natural language processing (NLP) to classify NPS in electronic health records (EHRs) to estimate the reporting of NPS in symptomatic AD at the memory clinic according to clinicians. Next, we compared NPS as reported in EHRs and NPS reported by caregivers on the Neuropsychiatric Inventory (NPI). Methods: Two academic memory clinic cohorts were used: the Amsterdam UMC (n = 3001) and the Erasmus MC (n = 646). Patients included in these cohorts had MCI, AD dementia, or mixed AD/VaD dementia. Ten trained clinicians annotated 13 types of NPS in a randomly selected training set of n = 500 EHRs from the Amsterdam UMC cohort and in a test set of n = 250 EHRs from the Erasmus MC cohort. For each NPS, a generalized linear classifier was trained and internally and externally validated. Prevalence estimates of NPS were adjusted for the imperfect sensitivity and specificity of each classifier. Intra-individual comparison of the NPS classified in EHRs and NPS reported on the NPI were conducted in a subsample (59%). Results: Internal validation performance of the classifiers was excellent (AUC range: 0.81–0.91), but external validation performance decreased (AUC range: 0.51–0.93). NPS were prevalent in EHRs from the Amsterdam UMC, especially apathy (adjusted prevalence = 69.4%), anxiety (adjusted prevalence = 53.7%), aberrant motor behavior (adjusted prevalence = 47.5%), irritability (adjusted prevalence = 42.6%), and depression (adjusted prevalence = 38.5%). The ranking of NPS was similar for EHRs from the Erasmus MC, although not all classifiers obtained valid prevalence estimates due to low specificity. In both cohorts, there was minimal agreement between NPS classified in the EHRs and NPS reported on the

BACKGROUND: Neuropsychiatric symptoms (NPS) are highly prevalent in Alzheimer's disease (AD) and are associated with negative outcomes. However, NPS are currently underrecognized at the memory clinic and non-pharmacological interventions are scarcely implemented. OBJECTIVE: To evaluate the effectiveness of the Describe, Investigate, Create, Evaluate (DICE) method™ to improve the care for NPS in AD at the memory clinic. METHODS: We enrolled sixty community-dwelling people with mild cognitive impairment or AD dementia and NPS across six Dutch memory clinics with their caregivers. The first wave underwent care as usual (n = 36) and the second wave underwent the DICE method (n = 24). Outcomes were quality of life (QoL), caregiver burden, NPS severity, NPS-related distress, competence managing NPS, and psychotropic drug use. Reliable change index was calculated to identify responders to the intervention. A cost-effectiveness analysis was performed and semi-structured interviews with a subsample of the intervention group (n = 12). RESULTS: The DICE method did not improve any outcomes over time compared to care as usual. Half of the participants of the intervention group (52%) were identified as responders and showed more NPS and NPS-related distress at baseline compared to non-responders. Interviews revealed substantial heterogeneity among participants regarding NPS-related distress, caregiver burden, and availability of social support. The intervention did not lead to significant gains in quality-adjusted life years and well-being years nor clear savings in health care and societal costs. CONCLUSION: The DICE method showed no benefits at group-level, but individuals with high levels of NPS and NPS-related distress may benefit from this intervention.

Background: While neuropsychiatric symptoms (NPS) are common in early Alzheimer’s disease (AD), they are currently underdiagnosed and undertreated in the memory clinic. Therefore, we evaluated the effectiveness of the Describe, Investigate, Create, Evaluate (DICE™) approach to structure and standardize the care for NPS in AD in the memory clinic. Method: A total of 60 community-dwelling patients with MCI, AD dementia, or AD/VaD dementia were enrolled with their caregivers in two waves (Table-1). The first wave (n = 36) received care as usual and served as a control group, while the second wave of patients (n = 24, of which n = 20 have currently completed the study) underwent the DICE method. We applied the DICE method during two visits in which NPS were assessed, underlying causes were examined, and patients and caregivers were instructed on management strategies to deal with NPS, which were evaluated after one month. Outcomes were assessed after three and six months. Primary outcomes were quality of life of patients (QoL-AD) and caregivers (Carerqol-7D). Secondary outcomes included caregiver burden (Perseverance time), NPS prevalence and severity (NPI-Q & BEHAVE-AD), NPS-related distress (NPI-Q), competence managing NPS (additional NPI-Q item), and psychotropic drug use. We used linear mixed models to examine differences in outcomes at group-level and reliable change index to examine which participants in the intervention group showed reliable improvement in the primary outcomes. Result: We found no significant differences between the two groups in change in quality of life or any of the secondary outcomes (all p>0.05, Table-2). A proportion of the intervention group showed reliable improvement in quality of life of patients (n = 6/20) and caregivers (n = 7/20). At baseline, these patients tended to show higher NPS burden and their caregivers reported more NPS-related distress and lower feelings of competence while managing NPS compared to participants th

The overall aim of this thesis was to better understand the implications of several aspects of age related conditions and processes in TAVI candidates and optimizing care by incorporating frailty in clinical decision making and to improve periprocedural care.

Since the heterogeneity of the growing group of older outpatients with cognitive decline, it is challenging to evaluate survival rates in clinical shared decision making. The primary outcome was to determine whether the Multidimensional Prognostic Index (MPI) predicts mortality, whilst assessing the MPI distribution was considered secondary. This retrospective chart review included 311 outpatients aged ≥65 years and diagnosed with dementia or mild cognitive impairment (MCI). The MPI includes several domains of the comprehensive geriatric assessment (CGA). All characteristics and data to calculate the risk score and mortality data were extracted from administrative information in the database of the Alzheimer’s Center and medical records. The study population (mean age 76.8 years, men = 51.4%) was divided as follows: 34.1% belonged to MPI category 1, 52.1% to MPI category 2 and 13.8% to MPI category 3. Patients with dementia have a higher mean MPI risk score than patients with MCI (0.47 vs. 0.32; p < 0.001). The HRs and corresponding 95% CIs for mortality in patients in MPI categories 2 and 3 were 1.67 (0.81–3.45) and 3.80 (1.56–9.24) compared with MPI category 1, respectively. This study shows that the MPI predicts mortality in outpatients with cognitive decline.

Francesco Mattace-Raso, Harmke Polinder-Bos, Barbara Oosterwijk, Rozemarijn van Bruchem-Visser, Jeannette Goudzwaard, Christian Oudshoorn, Gijsbertus Ziere, Angelique Egberts Division of Geriatric Medicine, Department of Internal Medicine, Erasmus MC University Medical Center, Rotterdam, the NetherlandsCorrespondence: Francesco Mattace-RasoDivision of Geriatric Medicine, Department of Internal Medicine, Erasmus MC University Medical Center, Office RG 534, Dr. Molewaterplein 40, Rotterdam, GD 3015, the NetherlandsTel +31 10 703 59 79Email f.mattaceraso@erasmusmc.nlAbstract: The authors report a high prevalence of delirium in COVID-19 old patients admitted in an academic hospital. During the recent COVID-19 period, delirium was present in 38% of old patients admitted with delirium at the COVID ward of the Erasmus MC University Medical Center of Rotterdam. We do not know in which patients COVID-19 can cause delirium; however, considering the high prevalence of delirium in COVID-19 old patients and the potential serious consequences, attention is needed in order to reduce disability and mortality in this vulnerable category of patients.Keywords: delirium, old patients, COVID-19