EVA study finds risk of cognitive decline with long-term benzodiazepine use

2002 ◽  
Keyword(s):  
Cognitive Decline ◽  
Benzodiazepine Use

Is benzodiazepine use a risk factor for cognitive decline and dementia? A literature review of epidemiological studies

2004 ◽  
Vol 35 (3) ◽  
pp. 307-315 ◽  
Author(s):  
HELENE VERDOUX ◽  
RAJAA LAGNAOUI ◽  
BERNARD BEGAUD
Keyword(s):  
General Population ◽  
Cognitive Decline ◽  
Epidemiological Studies ◽  
Cognitive Outcome ◽  
Public Health Issue ◽  
Hand Search ◽  
Increased Risk ◽  
Benzodiazepine Use

Background. A major public health issue is to determine whether long-term benzodiazepine use may induce cognitive deficits persisting after withdrawal. The aim of the present review was to examine findings from prospective studies carried out in general population samples exploring whether exposure to benzodiazepines is associated with an increased risk of incident cognitive decline.Method. Using a MEDLINE search and a hand-search of related references in selected papers, we retrieved original studies published in peer-reviewed journals that explored in general population samples the association between benzodiazepine exposure and change in cognitive performance between baseline and follow-up assessment.Results. Six papers met the inclusion criteria. Two studies reported a lower risk of cognitive decline in former or ever users, two found no association whatever the category of user, and three found an increased risk of cognitive decline in benzodiazepine users.Conclusions. The discrepant findings obtained by studies examining the link between benzodiazepine exposure and risk of cognitive decline may be due to methodological differences, especially regarding the definitions of exposure and cognitive outcome. As a large proportion of subjects are exposed to benzodiazepines, a small increase in the risk of cognitive decline may have marked deleterious consequences for the health of the general population. This issue needs to be explored further by pharmaco-epidemiological studies.

scholarly journals Is Long-Term Benzodiazepine Use a Risk Factor for Cognitive Decline? Results of a Systematic Review

2020 ◽  
Vol 2020 ◽  
pp. 1-10 ◽  
Author(s):  
Danilo Nader ◽  
Linda Gowing
Keyword(s):  
Systematic Review ◽  
Cognitive Decline ◽  
Verbal Memory ◽  
Adult Population ◽  
Medium Effect ◽  
Future Research ◽  
Cognitive Domains ◽  
Benzodiazepine Use ◽  
Prospective Longitudinal

Background and Aims. Benzodiazepines have been widely used for long periods of time despite their adverse effects. The acute effects on cognition are well established. However, less is known about the long-term effects. This study critically reviewed existing evidence of the association between long-term exposure to benzodiazepines and risk of cognitive decline in adults. Methods. A systematic review with narrative synthesis was conducted. PubMed and PsycINFO databases were searched using combinations of keywords related to “benzodiazepines” and “cognitive function” from database inception to 12 February 2018 to identify prospective longitudinal studies. The records were evaluated for relevance according to the inclusion and exclusion criteria. Results. Fourteen studies involving 2145 long-term benzodiazepine users were included. Meta-analysis was not undertaken because the combined result would not be meaningful as the included studies differed in several key aspects such as frequency and duration of benzodiazepine use, follow-up periods, cognitive domains, cognitive tests, scoring systems, and statistical analysis. The definition of long-term benzodiazepine use was problematic in all the studies. The exposure was determined by measures which were assumed to represent the whole period in-between the follow-ups. Only 3 of the 14 studies provided support for an association between long-term benzodiazepine use and cognitive decline with a small to medium effect size. However, these three studies used different methods to assess the strength of this association. Global cognitive functioning, verbal memory, intelligence, psychomotor speed, and speed of processing were the cognitive domains affected which also varied across these three studies. Conclusions. Little evidence of an association between long-term benzodiazepine use and a higher risk of cognitive decline among the general adult population was found. However, discrepancies among the results and inconsistencies regarding the cognitive domains affected and methodological limitations prevent definite conclusions. Therefore, future research with prospective studies specially designed would be of great value.

Long-Term Exposure to PM2.5 and Cognitive Decline: A Longitudinal Population-Based Study

2021 ◽  
pp. 1-9
Author(s):  
Giulia Grande ◽  
Jing Wu ◽  
Petter L.S. Ljungman ◽  
Massimo Stafoggia ◽  
Tom Bellander ◽  
...  
Keyword(s):  
Air Pollution ◽  
Cognitive Decline ◽  
Population Based ◽  
Cerebrovascular Diseases ◽  
Air Pollutant ◽  
National Study ◽  
Piecewise Regression ◽  
Risk Increase ◽  
Restricted Cubic Splines

Background: A growing but contrasting evidence relates air pollution to cognitive decline. The role of cerebrovascular diseases in amplifying this risk is unclear. Objectives: 1) Investigate the association between long-term exposure to air pollution and cognitive decline; 2) Test whether cerebrovascular diseases amplify this association. Methods: We examined 2,253 participants of the Swedish National study on Aging and Care in Kungsholmen (SNAC-K). One major air pollutant (particulate matter ≤2.5μm, PM2.5) was assessed yearly from 1990, using dispersion models for outdoor levels at residential addresses. The speed of cognitive decline (Mini-Mental State Examination, MMSE) was estimated as the rate of MMSE decline (linear mixed models) and further dichotomized into the upper (25%fastest cognitive decline), versus the three lower quartiles. The cognitive scores were used to calculate the odds of fast cognitive decline per levels of PM2.5 using regression models and considering linear and restricted cubic splines of 10 years exposure before the baseline. The potential modifier effect of cerebrovascular diseases was tested by adding an interaction term in the model. Results: We observed an inverted U-shape relationship between PM2.5 and cognitive decline. The multi-adjusted piecewise regression model showed an increased OR of fast cognitive decline of 81%(95%CI = 1.2–3.2) per interquartile range difference up to mean PM2.5 level (8.6μg/m3) for individuals older than 80. Above such level we observed no further risk increase (OR = 0.89;95%CI = 0.74–1.06). The presence of cerebrovascular diseases further increased such risk by 6%. Conclusion: Low to mean PM2.5 levels were associated with higher risk of accelerated cognitive decline. Cerebrovascular diseases further amplified such risk.

ICU admissions: Consequences after discharge

2020 ◽  
Vol 13 (9) ◽  
pp. 550-556
Author(s):  
Minal Karavadra ◽  
Ricky Bell
Keyword(s):  
Intensive Care ◽  
Cognitive Decline ◽  
Intensive Care Units ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Psychiatric Disturbance ◽  
Intensive Care Department ◽  
Previous Level ◽  
The Uk

The intensive care department may seem a long way from the GP's consulting room, but every year tens of thousands of critically ill patients are admitted to intensive care units (ICUs) across the UK. Patients are often left with long term sequelae that may require GP input. Physical weakness, psychiatric disturbance and cognitive decline are not uncommon after an illness that requires a stay in an ICU. These hinder a patient’s return to their previous level of function and impact caregivers after discharge. This article aims to highlight the chronic symptoms patients can acquire during ICU admission that may come to the attention of GPs for their advice and treatment.

scholarly journals 332 - Electroconvulsive therapy in older adults with major depression was not associated with cognitive decline during a 15-year follow-up

2020 ◽  
Vol 32 (S1) ◽  
pp. 91-91
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Major Depression ◽  
Cognitive Decline ◽  
Electroconvulsive Therapy ◽  
Antidepressant Treatment ◽  
Community Sample ◽  
Control Group

AUTHORS:Kerstin Johansson, Karolina Thömkvist, Ingmar Skoog and Sacuiu SF* (*presenter)OBJECTIVE:To determine the effects of electroconvulsive therapy (ECT) in major depression in relation to the development of dementia during long-term follow-up.METHOD:In an observational clinical prospective study of consecutive patients 70 years and older diagnosed with major depression at baseline 2000-2004 (n=1090), who were free of dementia and received antidepressant treatment, with or without ECT, we sought to determine if cognitive decline (mild cognitive impairment and dementia) during 15 -year follow-up was associated with receiving ECT at baseline. The control group was selected among the participants in the Gothenburg H70 Birth Cohort Studies matched by age group and sex 1:1.RESULTS:Among patients with affective syndromes 7% received ECT. During follow-up, 157 patients were diagnosed with dementia, equal proportions among those who received ECT (14.5%) and those who did not receive ECT (14.5%). The relation between ECT and cognitive decline remained non-significant irrespective antidepressive medication or presence of mild cognitive impairment at baseline.CONCLUSION:Preliminary results indicate that ECT was not associated with the development of cognitive decline in the long-term in a hospital-based cohort of 70+ year-olds. The results remain to verify against controls from a representative community sample.

scholarly journals Long-Term Occupational Sleep Loss and Post-Retirement Cognitive Decline or Dementia

2019 ◽  
Vol 48 (1-2) ◽  
pp. 105-112 ◽  
Author(s):  
Jana Thomas ◽  
Sebastiaan Overeem ◽  
Jurgen A.H.R. Claassen
Keyword(s):  
Cognitive Decline ◽  
Sleep Loss

scholarly journals Psychiatric comorbid disorders of cognition: a machine learning approach using 1175 UK Biobank participants

2020 ◽  
Vol 23 (4) ◽  
pp. 140-145
Author(s):  
Chenlu Li ◽  
Delia A Gheorghe ◽  
John E Gallacher ◽  
Sarah Bauermeister
Keyword(s):  
Machine Learning ◽  
Cognitive Decline ◽  
Psychiatric Disorders ◽  
Characteristic Curve ◽  
Area Under The Curve ◽  
Imaging Study ◽  
Cognitive Change ◽  
Poor Mental Health ◽  
Uk Biobank

BackgroundConceptualising comorbidity is complex and the term is used variously. Here, it is the coexistence of two or more diagnoses which might be defined as ‘chronic’ and, although they may be pathologically related, they may also act independently. Of interest here is the comorbidity of common psychiatric disorders and impaired cognition.ObjectivesTo examine whether anxiety and/or depression are/is important longitudinal predictors of cognitive change.MethodsUK Biobank participants used at three time points (n=502 664): baseline, first follow-up (n=20 257) and first imaging study (n=40 199). Participants with no missing data were 1175 participants aged 40–70 years, 41% women. Machine learning was applied and the main outcome measure of reaction time intraindividual variability (cognition) was used.FindingsUsing the area under the receiver operating characteristic curve, the anxiety model achieves the best performance with an area under the curve (AUC) of 0.68, followed by the depression model with an AUC of 0.63. The cardiovascular and diabetes model, and the covariates model have weaker performance in predicting cognition, with an AUC of 0.60 and 0.56, respectively.ConclusionsOutcomes suggest that psychiatric disorders are more important comorbidities of long-term cognitive change than diabetes and cardiovascular disease, and demographic factors. Findings suggest that psychiatric disorders (anxiety and depression) may have a deleterious effect on long-term cognition and should be considered as an important comorbid disorder of cognitive decline.Clinical implicationsImportant predictive effects of poor mental health on longitudinal cognitive decline should be considered in secondary and also primary care.

Sign in / Sign up

Export Citation Format

Share Document