RAPID: Predicting Delirium by Attentional Dysfunction
Study Details
Study Description
Brief Summary
Rationale: Delirium is a common complication that occurs in various medical conditions. Validated models predicting delirium in individual patients are scarce and existing models tend to focus on demographic characteristics and comorbid conditions exclusively. Previous research has suggested that impairment of attentional function might serve as an early and specific individual predictor of incident delirium. Utilization of a test measuring attentional function in a clinically easy-to-use tool could potentially yield a pathophysiological monitor to identify individual patients at risk of evolving delirium and target future prophylactic treatment.
Objective: To assess the difference in preoperative intra-individual reaction time variability between postoperative delirium and non-delirium elderly non-dementia patients undergoing elective surgery. Study design: An observational prospective cohort study.
Study population: Elderly patients (70 years or older) undergoing elective surgery.
Main study parameters/endpoints: Preoperative intra-individual reaction time variability among postoperative non-delirium and delirium patients.
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Detailed Description
Delirium is a common complication that occurs in various medical conditions. Development of delirium during admission is associated with an increase in length of hospital stay, complication rates, mortality and consequently higher healthcare expenditures. Besides these short-term consequences, delirium is detrimental to long-term outcome with an ensuing higher risk of dementia, institutionalization and death.
Development of delirium is associated with increasing age. The risk for postoperative delirium among elderly patients ranges from 4%-53%. Incidence differs between different surgical procedures and between emergency or elective surgery. A systematic review comparing general to regional anaesthetic procedures did not show significant differences in the risk for developing postoperative delirium.
Although an array of risk factors associated with development of delirium has been identified in numerous studies, validated models predicting delirium in individual patients are scarce.
Moreover, existing models tend to focus on demographic characteristics and comorbid conditions exclusively. Models predicting development of delirium by using individual pathophysiological markers involved in the evolution of delirium are absent.
Previous research has suggested that impairment of attentional function might serve as an early and specific individual predictor of incident delirium, even in previously cognitively undisturbed patients. So far only one study has prospectively assessed preoperative intra-individual reaction time variability as a predictor of postoperative delirium. This study was limited to elderly (age 70 years or older) patients undergoing elective hip and knee replacement and did not examine confounding factors such as preoperative use of (anti-cholinergic) drugs, preoperative presence of symptoms of depression, cognitive decline or impairment in activities of daily living making. Although this study showed significant higher preoperative intra-individual reaction time variability among patients developing postoperative delirium, no attempts to reproduce these findings in other surgical populations have been published to date, limiting external validity and practical implementation of these observations.
The investigators hypothesize that preoperative intra-individual reaction-time variability is an independent predictor of postoperative delirium. In this study the investigators aim at assessing the potential of preoperative administration of a short test of attentional function in predicting postoperative delirium in a population of elderly non-dementia patients undergoing major elective surgery. Utilization of a test measuring attentional function in a clinically easy-to-use tool could potentially yield a pathophysiological monitor to preoperatively identify individual patients undergoing elective surgery who are at an increased risk of evolving delirium and create a target for future prophylactic treatment.
Study Design
Outcome Measures
Primary Outcome Measures
- Preoperative intra-individual reaction time variability. [02-2014 / 06-2015]
To assess the difference in preoperative intra-individual reaction time variability between postoperative delirium and non-delirium elderly non-dementia patients undergoing elective surgery.
Secondary Outcome Measures
- Preoperative individual accuracy of reaction time response. [02-2014 / 06-2015]
To assess the difference in preoperative accuracy of response on a reaction time test between postoperative delirium and non-delirium elderly non-dementia patients undergoing elective surgery.
- Association between intra-individual reaction time variability on the ChIP application for iPad and development of delirium, defined as a positive score on the CAM on any given moment during the first 5 days postoperatively. [02-2014 / 06-2015]
For each subject preoperative intra-individual reaction time variability will be determined using the standard deviation (SD) of individual preoperative reaction times (continuous variable). To determine the association between preoperative intra-individual reaction time variability and development of postoperative delirium odds ratios (OR) along with 95% confidence intervals (CI) will be calculated using multivariate logistic regression. A cut-off will be made at 1 SD above total group mean average for scores on intra-individual reaction time. Presence of delirium will be defined as a positive score on the CAM on any given moment during the first 5 days postoperatively.
- Association between accuracy of reaction time response on the ChIP application for iPad and delirium, defined as a positive score on the CAM on any given moment during the first 5 days postoperatively. [02-2014 / 06-2015]
For each subject preoperative individual accuracy of reaction time response will be determined by the total of target stimuli missed (continuous variable). To determine the association between individual accuracy of response and development of postoperative delirium odds ratios (OR) along with 95% confidence intervals (CI) will be calculated using multivariate logistic regression. A cut-off will be made at 1 SD above total group mean average for scores on individual accuracy of response. Presence of delirium will be defined as a positive score on the CAM on any given moment during the first 5 days postoperatively.
- Sensitivity and specificity of a combined index of preoperative intra-individual reaction time variability and accuracy of response in predicting delirium. [02-2014 / 06-2015]
To determine the sensitivity and specificity of a combined index of preoperative reaction time variability and accuracy of response in predicting postoperative delirium among elderly non-dementia patients undergoing elective surgery.
Eligibility Criteria
Criteria
Inclusion Criteria:
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Age 70 years or older
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Elective surgery involving thoracotomy, major abdominal surgery (e.g. esophageal, gastric, hepatic, pancreatic, colorectal resection by either laparotomy or laparoscopic approach), major pelvic surgery (e.g. radical cystectomy, radical hysterectomy), or major orthopedic surgery (e.g. knee or hip replacement)
Exclusion Criteria:
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Preceding diagnosis of dementia or Clinical Dementia Rating (CDR) scale of 1 or more
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Language barrier enough to hamper informed consent and iPad instructions
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Serious functional disability of the dominant hand (e.g. palsy, amputation, arthrodesis)
Contacts and Locations
Locations
No locations specified.Sponsors and Collaborators
- Academisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA)
- ZonMw: The Netherlands Organisation for Health Research and Development
Investigators
- Principal Investigator: W. A. van Gool, MD, PhD, Academisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA)
Study Documents (Full-Text)
None provided.More Information
Publications
None provided.- NL47720.018.014