Discovery for Biomarkers and Risk Factors for Postoperative Delirium in Elderly Patients With Spine Surgery
1 other identifier
observational
600
1 country
1
Brief Summary
Introduction: With the increase of the elderly population, the number of elderly patients undergoing surgery is increasing, and postoperative delirium is 11-51% depending on the type of surgery. In recent cohort studies have shown that delirium might reduce cognitive function and develop dementia. Since delirium is difficult to treat, the key to treatment is prevention, and about 40% is prevented when prophylactic intervention is applied. However, delirium is difficult to diagnose and difficult to predict, therefore, biomarkers are needed to diagnose and prevention. Exosome and brain efficiency test(electroencephalogram, and pulse wave test) have the potential of simple biomarkers that can diagnose postoperative delirium and predict cognitive decline. Purpose: The purpose of this study is to investigate the risk factors affecting delirium in the elderly who have spinal surgery and to search for biomarkers of delirium for early detection and prevention of delirium.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Oct 2019
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
September 29, 2019
CompletedFirst Posted
Study publicly available on registry
October 9, 2019
CompletedStudy Start
First participant enrolled
October 21, 2019
CompletedPrimary Completion
Last participant's last visit for primary outcome
October 1, 2021
CompletedStudy Completion
Last participant's last visit for all outcomes
October 1, 2021
CompletedJune 7, 2021
June 1, 2021
1.9 years
September 29, 2019
June 3, 2021
Conditions
Outcome Measures
Primary Outcomes (9)
Exosomes in Urine: Differences in Gene Expression
\- Gene expression and expression comparison in exosomes The gene expression difference is determined using the SAM tool and DEseq2, and the Gene Ontology (GO) Database (www.geneontology.org) and the KEGG database (www.genome.jp/kegg) are used to find the correlation between gene functions. In the case of miRNA, there will be a regulatory function of the coding gene, so for this purpose, an integrative analysis is performed to identify the mRNA-miRNA interaction
Just before surgery
Exosomes in Urine: Differences in Gene Expression
\- Gene expression and expression comparison in exosomes The gene expression difference is determined using the SAM tool and DEseq2, and the Gene Ontology (GO) Database (www.geneontology.org) and the KEGG database (www.genome.jp/kegg) are used to find the correlation between gene functions. In the case of miRNA, there will be a regulatory function of the coding gene, so for this purpose, an integrative analysis is performed to identify the mRNA-miRNA interaction
just before end of surgery
Exosomes in Urine: Differences in Gene Expression
\- Gene expression and expression comparison in exosomes The gene expression difference is determined using the SAM tool and DEseq2, and the Gene Ontology (GO) Database (www.geneontology.org) and the KEGG database (www.genome.jp/kegg) are used to find the correlation between gene functions. In the case of miRNA, there will be a regulatory function of the coding gene, so for this purpose, an integrative analysis is performed to identify the mRNA-miRNA interaction
Post operative day 1 (6 AM)
Exosomes in Urine: Differences in Gene Expression
\- Gene expression and expression comparison in exosomes The gene expression difference is determined using the SAM tool and DEseq2, and the Gene Ontology (GO) Database (www.geneontology.org) and the KEGG database (www.genome.jp/kegg) are used to find the correlation between gene functions. In the case of miRNA, there will be a regulatory function of the coding gene, so for this purpose, an integrative analysis is performed to identify the mRNA-miRNA interaction
Post operative day 1 (6 PM)
Exosomes in Urine: Differences in Gene Expression
\- Gene expression and expression comparison in exosomes The gene expression difference is determined using the SAM tool and DEseq2, and the Gene Ontology (GO) Database (www.geneontology.org) and the KEGG database (www.genome.jp/kegg) are used to find the correlation between gene functions. In the case of miRNA, there will be a regulatory function of the coding gene, so for this purpose, an integrative analysis is performed to identify the mRNA-miRNA interaction
immediately after onset of delirium
Exosomes in Urine: Differences in Gene Expression
\- Gene expression and expression comparison in exosomes The gene expression difference is determined using the SAM tool and DEseq2, and the Gene Ontology (GO) Database (www.geneontology.org) and the KEGG database (www.genome.jp/kegg) are used to find the correlation between gene functions. In the case of miRNA, there will be a regulatory function of the coding gene, so for this purpose, an integrative analysis is performed to identify the mRNA-miRNA interaction
7 days after surgery, within hospitalization period
Exosomes in Blood: Differences in Gene Expression
\- Gene expression and expression comparison in exosomes The gene expression difference is determined using the SAM tool and DEseq2, and the Gene Ontology (GO) Database (www.geneontology.org) and the KEGG database (www.genome.jp/kegg) are used to find the correlation between gene functions. In the case of miRNA, there will be a regulatory function of the coding gene, so for this purpose, an integrative analysis is performed to identify the mRNA-miRNA interaction
Just before surgery
Exosomes in Blood: Differences in Gene Expression
\- Gene expression and expression comparison in exosomes The gene expression difference is determined using the SAM tool and DEseq2, and the Gene Ontology (GO) Database (www.geneontology.org) and the KEGG database (www.genome.jp/kegg) are used to find the correlation between gene functions. In the case of miRNA, there will be a regulatory function of the coding gene, so for this purpose, an integrative analysis is performed to identify the mRNA-miRNA interaction
just before end of surgery
Fecal microbiota
just before surgery, on the day of discharge
Secondary Outcomes (20)
Brain efficiency test(EEG)
Before surgery (from 2 weeks before to the day before)
Brain efficiency test(pulse wave test)
Before surgery (from 2 weeks before to the day before)
Cognitive test -MMSE
Before surgery (from 2 weeks before to the day before)
Cognitive test -MOCA
Before surgery (from 2 weeks before to the day before)
Cognitive test -TICS
Before surgery (from 2 weeks before to the day before)
- +15 more secondary outcomes
Study Arms (2)
Delirium group
Group of patients with postoperative delirium
Non delirium group
Group of patients without postoperative delirium
Interventions
Eligible Surgeries: lumbar spine fusion surgery, posterior cervical spine fusion surgery, or anterior cervical spine fusion surgery
Eligibility Criteria
Tertiary hospital, single institution
You may qualify if:
- Elderly patients over 70
- Eligible Surgeries: lumbar spine fusion surgery, posterior cervical spine fusion surgery, or anterior cervical spine fusion surgery
You may not qualify if:
- Patients with cognitive decline according to MMSE-DS outcome criterion
- Patients diagnosed with malignant or benign tumors
- If surgery is scheduled within 2 hours(micro surgery)
- In case of difficulty in communication
- History of brain neurological diseases (brain hemorrhage, stroke, dementia, Parkinson's, cognitive impairment diagnosis, etc.)
- Patients diagnosed with alcoholism or drug addiction
- Patients with surgical complications (post-operative bleeding, high fever over 39 degrees, etc.)
- Patients undergoing re-operation due to surgery-related complications
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Severance Hospital, Yonsei University Health System
Seoul, South Korea
Biospecimen
Gene expression and expression comparison in exosomes
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- CASE CONTROL
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
September 29, 2019
First Posted
October 9, 2019
Study Start
October 21, 2019
Primary Completion
October 1, 2021
Study Completion
October 1, 2021
Last Updated
June 7, 2021
Record last verified: 2021-06
Data Sharing
- IPD Sharing
- Will not share