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Society is aging and advantages in anesthesia and surgery allow more complex interventions in older persons. Old age is a significant risk factor for the development of postoperative neurocognitive decline characterized by a gradual decrease in performance in several cognitive domains such as memory, attention, information processing, and executive functions, leading to problems with performing daily activities and maintaining independence and postoperative complications. The purpose of this study is to measure older persons' postoperative neurocognitive function, to detect neurocognitive decline, and to identify risk factors and difficulties in daily living as well as explore close relatives' experiences of it. We will include 220 participants ≥65 years of age undergoing planned cardiac surgery. Cognitive symptoms and signs and neurocognitive function will be assessed up to 6 months after surgery. Risk/affected factors such as delirium, functional status, recovery, depression, and healthcare-related quality of life, as well as close relative's experiences and burden, will be measured. The results will have immediate relevance for a substantial number of older persons undergoing surgery, and their close relatives, by enhancing knowledge about postoperative cognitive decline and recovery, and subsequently identifying what support needs to be implemented.
Full description
The overarching purpose of the study is to investigate cognitive function, symptoms, and complaints after cardiac surgery among individuals aged 65 and older, as well as to describe the experiences and perspectives of close relatives regarding the same phenomena. The study is expected to answer the following scientific research questions:
The study is a longitudinal observational study with a mixed-method approach planned to be conducted at two thoracic surgical units in Sweden. In total, 220 patients and one of their relatives are planned to be included and followed up for 6 months after undergoing cardiac surgery. The study will be reported following the STrengthening the Reporting of OBservational studies in Epidemiology (STROBE) guidelines.
In connection with the decision on surgery, it is assessed whether the patient is suitable for inclusion. Potential study participants will receive written and verbal information about the study and will then be asked to participate. After the participant has given informed written consent, baseline data will be collected. This can be done digitally, through home visits, or at the hospital. Included patients will be asked if they have any relatives who can be approached for participation. Potential study participants (relatives) will then be informed about the study and subsequently asked for participation. Baseline data from relatives is collected before the time of surgery.
Enrolled participants (patients) will undergo neurocognitive testing before and at 1, 3, and 6 months after surgery. Mindmore-P is a digitized test battery designed to measure cognitive function. The battery consists of four tests that assess various cognitive functions, including verbal episodic memory, executive function, attention, and processing speed. Mindmore-P is tailored for independent administration via a computer. The tests are conducted through a digital platform (CE-certified) that also contains normative data. All other questionnaires can be answered either electronically or in paper format. During their hospital stay, included participants will be assessed for postoperative delirium.
Descriptive data are presented with mean, median, frequency/proportion, and appropriate measures of dispersion. Postoperative cognitive dysfunction is defined as the patient deviating one standard deviation from the baseline measurement on at least two of the cognitive tests included in the cognitive test battery. Individual data are adjusted against a norm database to control for variation and learning effects. Comparisons between groups will be made using parametric and non-parametric tests based on data level and normal distribution. Associations and relationships will be examined with logical multivariate regression models. Qualitative data will be analyzed with content analysis. Mixed-method analysis may be appropriate to triangulate and compare qualitative and quantitative data to best answer certain scientific questions.
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Ulrica Nilsson, Professor; Lina Bergman, PhD
Data sourced from clinicaltrials.gov
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