TAthe CONNECT (Cognitive Decline in Nephro‐Neurology: European Cooperative Target) Action
the CONNECT (Cognitive Decline in Nephro‐Neurology: European Cooperative Target) Action
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Background: Cognitive impairment is common in patients with chronic kidney disease (CKD), and early intervention may prevent the progression of this condition.Methods: Here, we review interventions for the complications of CKD (anemia, secondary hyperparathyroidism, metabolic acidosis, harmful effects of dialysis, the accumulation of uremic toxins) and for prevention of vascular events, interventions that may potentially be protective against cognitive impairment. Furthermore, we discuss nonpharmacological and pharmacological methods to prevent cognitive impairment and/or minimize the latter's impact on CKD patients' daily lives.Results: A particular attention on kidney function assessment is suggested during work‐up for cognitive impairment. Different approaches are promising to reduce cognitive burden in patients with CKD but the availabe dedicated data are scarce.Conclusions: There is a need for studies assessing the effect of interventions on the cognitive function of patients with CKD.
Background and Purpose: Dementia after stroke may be caused by vascular lesion, but preexisting degenerative changes can also influence its development. After stroke, the patients with coexisting Alzheimer-type pathology need appropriate treatment. The aim of the study was to evaluate the frequency of prestroke and new- onset dementia in stroke patients. Methods: We evaluated prestroke dementia in 250 patients with ischemic or hemorrhagic stroke using the Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE). Poststroke dementia was assessed in 220 patients 3 months after stroke by means of the neuropsychological tests and/or IQCODE. The DSM-IV definition of dementia was used. Results: Dementia after stroke was found in 31.4% of stroke patients. Twelve percent of stroke patients had a significant impairment of cognitive functions detected by the IQCODE on admission suggesting prestroke dementia. When we excluded the patients with recurrent stroke, the incidence of pre- and poststroke dementia was 9.3 and 21.2%, respectively. Conclusion: About one tenth of stroke patients have preexisting dementia.
Between 10 % to 48 % of patients develop delirium in acute phase of stroke. Delirium determinants and its association with other neuropsychiatric disturbances in stroke are poorly understood. The wildly accepted predictive model of post-stroke delirium is still lacking. This is a prospective, observational, single-center study in patients with acute phase of stroke. We aim to include 750 patients ≥18 years with acute stroke or transient ischemic attack admitted to the stroke unit within 48 hours after stroke onset. The goals of the study are: 1) to determine frequency of delirium and subsyndromal delirium in Polish stroke patients within 7 days after admission to the hospital; 2) to determine factors associated with incidence, severity and duration of delirium and subsyndromal delirium and to create a predictive model for post-stroke delirium; 3) to determine the association between delirium and its cognitive, psychiatric, behavioral and functional short and long-term consequences; 4) to validate scales used for delirium diagnosis in stroke population. Patients will be screened for delirium on daily basis. The diagnosis of delirium will be based on DSM-V criteria. Abbreviated version of Confusion Assessment Method and Confusion Assessment Method for the Intensive Care Unit will be used for delirium and sub-delirium screening. Severity of delirium symptoms will be assessed by Delirium Rating Scale Revised 98 and Cognitive Test for Delirium. Patients who survive will undergo extensive neuropsychological, neuropsychiatric and functional assessment 3 and 12 months after the stroke. This study is designed to provide information on clinical manifestation, diagnostic methods and determinants of delirium spectrum disorders in acute stroke phase and their short and long-term consequences. Collected information allow us to create a predictive model for post-stroke delirium.