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Introduction Cardiovascular disease is an independent contributor to cognitive impairment. With an imminent rise in chronic cardiovascular disease, a better understanding of its effects on brain health is warranted. Impaired blood flow to the brain is one of the main hypothesized mechanisms linking cardiovascular disease with abnormal brain aging. Purpose To investigate relations between (subclinical) cardiac dysfunction and vascular brain injury, cognitive impairment and depressive symptoms, with a side-by-side comparison of cardiac biomarkers and imaging parameters. Methods Multicenter, cross-sectional, observational cohort study among 559 participants: 431 with manifest cardiovascular disease (heart failure [HF], carotid occlusive disease or vascular cognitive impairment) and 128 control participants, all without dementia. Participants underwent 3T heart-brain MRI and cognitive testing. Determinants were cardiac biomarkers (NT-proBNP and high-sensitive Troponin-I) and left ventricular (LV) functional parameters by MRI (LV ejection fraction, cardiac output, LV global function index). Outcome measures were cerebral small vessel disease (CSVD) by MRI (presence of white matter hyperintensities, microbleeds, lacunar infarcts or perivascular spaces), CSVD score (0–4), cognitive impairment in ≥1 domain (memory, language, attention-psychomotor speed and executive functioning) and depressive symptoms (Geriatric Depression Scale-15 score >5). Interaction analyses were used to investigate effect modification by patient group; results are reported pooled or stratified accordingly. Results In patients with cardiovascular disease and controls, but not in those with manifest HF, LV functional parameters were associated with CSVD and cognitive impairment, with the following associations: LVEF Conclusion This study indicates that subclinical cardiac dysfunction, as assessed by cardiovascular MRI, is independently associated with vascular brain injury, cognitive impairment and depressive symptoms. Of all parameters, LV global function index showed the most robust relations, indicating that global cardiac performance is more closely related to poorer brain outcome than merely LV systolic function. In those with clinically manifest HF, the severity of cardiac dysfunction was related to depressive symptoms but not to other brain outcome measures. Funding Acknowledgement Type of funding sources: Public grant(s) – National budget only. Main funding source(s): The Netherlands CardioVascular Research Initiative; The Dutch Heart Foundation

Drug-Related Admissions (DRAs) are a well-known problem among older patients in the Emergency Department (ED). The aim of this study was (a) to investigate the prevalence and clinical manifestations of DRAs and the responsible drugs, (b) to study the association between geriatric characteristics and DRAs, and (c) to study the predictive performance of geriatric screeners for identifying DRAs in older ED patients.Patients aged ≥ 70 hospitalized from the ED were included. Demographics, geriatric characteristics and medications were collected. The the Acutely Presenting Older Patient (APOP)-screener, the Identification of Seniors At Risk (ISAR) and the ISAR-Hospitalized Patients (ISAR-HP) were used as geriatric screeners. Potential DRAs were identified retrospectively, the association between geriatric screeners and DRAs was investigated with logistic regression and the predictive performance was assessed by calculating the Area under the Curve (AUC) of the Receiver Operator Characteristics (ROC).The mean age of patients was 78 (IQR 73-83), using an average of 6 medications. Out of 240 admissions, 77 (30%) were classified as a DRA. Independent risk factors for DRAs were polypharmacy (OR 2.42; 95% CI 1.23-4.74) and the ADL dependency (OR 1.23; 95%CI 1.05-1.44). ISAR (OR 3.27; 95%CI 1.60-6.69) and ISAR-HP (OR 1.83; 95% CI 1.02-3.27) associated with increased risk of DRAs, whereas the APOP screener did not (OR 1.56; 95% CI 0.82-2.97). The predictive performance of all geriatric screeners for predicting DRAs was poor (AUC for all screeners 0.60).DRAs are highly prevalent in older ED patients. Polypharmacy, ADL dependency and a high ISAR or ISAR-HP are associated with higher risk for DRAs, but the predictive value of geriatric screeners is insufficient.

Older people often present to the Emergency Department with nonspecific complaints. We aimed (1) to examine characteristics of older patients presenting to the ED triaged with the presentational flowchart 'unwell adult' of the Manchester triage system (MTS) and (2) to assess the different mortality and admission rates among triage categories.Retrospective cohort study including all consecutive patients aged 70 years and older who visited the ED of a tertiary care hospital in the Netherlands during a 1-year period. The primary outcome was 30-day mortality. Secondary outcomes were 7-day mortality, hospital admission and ED length of stay.4255 patients were included in this study. Mean age was 78 years (IQR 73.9-83.4) and 2098 were male (49.3%). The MTS presentational flowchart 'unwell adult' was the most commonly used flowchart (n = 815, 19.3%). After the infrequent flowchart 'major trauma' (n = 9, 13.8%), 'unwell adult' had the highest 30-day mortality (n = 88, 10.8%). When compared to all other flowcharts, patients assigned as 'unwell adult' have significantly higher 30-day mortality rates (OR 1.89 (95%CI 1.46-2.46), p = 0.001), also when adjusted for age, gender and triage priority (OR 1.75 (95%CI 1.32-2.31), p = 0.001). Patients from the 'unwell adult' flowchart had the highest hospital admission rate (n = 540, 66.3%), and had among the longest ED length of stay.Older ED patients are most commonly assigned the presentational flowchart 'unwell adult' when using the MTS. Patients in this category have the highest non-trauma mortality and highest hospital admission rates when compared to other presenting complaints.

The Identification of Seniors At Risk-Hospitalised Patients (ISAR-HP) has recently been included in guidelines as a frailty indicator to identify patients for comprehensive geriatric assessment. Previous studies showed that the conventional cut-off score incorrectly classifies a high percentage of patients as high risk. We aimed to optimise the predictive value of ISAR-HP by using different cut-offs in older acutely hospitalised patients.A prospective follow-up study was performed in two Dutch hospitals. Acutely hospitalised patients aged ≥ 70 years were included. Demographics, illness severity parameters, geriatric measurements and the ISAR-HP scores were obtained at baseline. The primary outcome was a combined end point of functional decline or mortality during 90-day follow-up.In total 765 acutely hospitalised older patients were included, with a median age of 79 years, of whom 276 (36.1%) experienced functional decline or mortality. The conventional ISAR-HP cut-off of ≥ 2 assigned 432/765 patients (56.5%) as high risk, with a positive predictive value (PPV) of 0.49 (95%CI 0.45-0.54) and a negative predictive value of 0.81 (95%CI 0.76-0.85). Thus, 51% of those whom the ISAR-HP denoted as high risk did not experience the outcome of interest. Raising the cut-off to ≥ 4 assigned 205/765 patients (26.8%) as high risk, with a marginally increased PPV to 0.55 (95%CI 0.48-0.62).The ISAR-HP with the conventional cut-off of ≥ 2 incorrectly identifies a large group of patients at high risk for functional decline or mortality and raising the cut-off to 4 only marginally improved performance. Caution is warranted to ensure efficient screening and follow-up interventions.

Older patients experience high rates of adverse outcomes after an emergency department (ED) visit. Early identification of those at high risk could guide preventive interventions and tailored treatment decisions, but available models perform poorly in discriminating those at highest risk. The present study aims to develop and validate a prediction model for functional decline and mortality in older patients presenting to the ED.A prospective follow-up study in patients aged ≥ 70, attending the EDs of the LUMC, the Netherlands (derivation) and Alrijne Hospital, the Netherlands (validation) was conducted. A baseline assessment was performed and the main outcome, a composite of functional decline and mortality, was obtained after 90 days of follow-up.In total 751 patients were enrolled in the Leiden University Medical Center of whom 230 patients (30.6%) experienced the composite outcome and 71 patients (9.5%) died. The final model for the composite outcome resulted in an area under the curve (AUC) of 0.73 (95% CI 0.67-0.77) and was experienced in 69% of the patients at highest risk. For mortality the AUC was 0.79 (95% CI 0.73-0.85) and 36% of the patients at highest risk died. External validation in 881 patients of Alrijne Hospital showed an AUC of 0.71 (95% CI 0.67-0.75) for the composite outcome and 0.67 (95% CI 0.60-0.73) for mortality.We successfully developed and validated prediction models for 90-day composite outcome and 90-day mortality in older emergency patients. The benefits for patient management by implementing these models with preventive interventions have to be investigated.

Evidence-based medicine (EBM) aims to integrate three elements in patient care: the patient situation, scientific evidence, and the doctors' expertise. This review aims 1) to assess how these elements are systematically different in older patients and 2) to propose strategies how to improve EBM in older patients. The ageing process systematically affects all three elements that constitute EBM. First, ageing changes the physiology of the older body, makes the patient more vulnerable with more multimorbidity and polypharmacy and affects somatic, psychological and social function. The heterogeneity of older patients may lead to overtreatment of vulnerable and undertreatment of fit older patients. Second, representative older patients are underrepresented in clinical studies and endpoints studied may not reflect the specific needs of older patients. Third, adequate clinical tools and schooling are lacking to aid physicians in clinical decision-making. Strategies to improve elements of EBM include: first systematically acknowledging that physical, mental and social function may reveal patients vulnerability and specific treatment goals. Second, clinical studies specifically targeting more representative older patients and studying endpoints relevant to older patients are warranted. Finally, teaching of physicians may increase their experience and expertise in treating older patients. In conclusion, in older patients the same elements constitute EBM, but the elements need tailoring to the older patient. In the clinic, a thorough assessment of individual patient preferences and physical, mental and social functioning in combination with increased level of experience of the doctor can increase the quality of EBM in older patients.