DeliriumPODNCT07121309
With the Development of Research, New Algorithms and Technologies Have Emerged, One of Which is Machine Learning. Machine Learning Can Extract Key Factors From Vast Amounts of Data, Identify Underlying Patterns, and Predict Future Trends. In Recent Years, Machine Learning Has Been Widely Used in
An observational study of Delirium, run by Second Affiliated Hospital of Soochow University at 1 site in China.
Trial summary
The aim of this study is to construct a predictive model for postoperative delirium in elderly patients with hip fractures. The main question it answers is to construct a risk prediction model for hip fractures in the elderly through six machine learning methods, compare which method's model is better, and conduct… Read more about this study
- Who is it for?
- Ages 60 years and olderHealthy volunteers can take part
- Conditions the study is for
- Delirium
- How many people
- 901 participants
- Where
- 1 siteChina
- Study dates
- 17 Oct 2024to 3 Mar 2025
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 60 years and older
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Study population: Patients over 60 years old who undergo surgical treatment for hip fractures
Who may be able to join
- Age ≥ 60 years; diagnosed with hip fracture by X-ray; patients who underwent surgical treatment.
Who cannot join
- Patients with other severe diseases (Patients who reach grade IV or higher according to the American Society of Anesthesiologists (ASA) health status classification;Suffer from end-stage diseases;there is multiple organ dysfunction syndrome (MODS) or single organ failure); patients with mental disorders; patients participating in other studies.
Trial locations and contacts
1 site in 1 country.
About this study
Official title: Establishment of a Postoperative Delirium Risk Prediction Model for Elderly Hip Fracture Patients Based on Machine Learning Algorithms
The aim of this study is to construct a predictive model for postoperative delirium in elderly patients with hip fractures. The main question it answers is to construct a risk prediction model for hip fractures in the elderly through six machine learning methods, compare which method's model is better, and conduct external validation of the model's stability to provide a reference for the early clinical detection of postoperative delirium in elderly hip fracture patients.
The clinical data of elderly patients with hip fractures have been collected in clinical practice and the model has been constructed.
- Conditions
- Delirium
- Keywords
- Hip fracture, Prediction model
- Medical subject headings
- Delirium, Hip Fractures
What is being measured
The primary outcome is the main question the study is designed to answer.
Postoperative delirium
The Memory and Delirium Assessment Scale (MDAS) was used for delirium risk screening and assessment, including consciousness, attention, speech, behavior, and sleep aspects.
Measured: The day after the operation
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted13 Aug 2025
- Study start17 Oct 2024
- Primary completion3 Mar 2025
- Study completion3 Mar 2025
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for DeliriumStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Case-control
- Time perspective
- Retrospective
- Enrolment
- 901 participants (actual)
Sponsor and investigators
- Lead sponsor
- Second Affiliated Hospital of Soochow University
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07121309
- Sponsor's protocol ID
- JD-HG-2025-022
- Other IDs
- JD-HG-2025-022
- Acronym
- POD
- Status last verified
- Aug 2025
- First submitted
- 6 Aug 2025
- Last updated
- 13 Aug 2025
- Results posted
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Study at a glance
From the registry record, last updated by the sponsor on 13 Aug 2025. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Establishment of a Postoperative Delirium Risk Prediction Model for Elderly Hip Fracture Patients Based on Machine Learning Algorithms
- ClinicalTrials.gov ID
- NCT07121309
- Acronym / sponsor ID
- POD / JD-HG-2025-022
- Conditions
- Delirium
- Keywords
- Hip fracture, Prediction model
- Study type
- Observational
- Recruitment status
- Completed
- Enrolment
- 901 participants (actual)
- Lead sponsor
- Second Affiliated Hospital of Soochow UniversityUniversity, hospital or other
- Study start
- 17 Oct 2024 (actual)
- Primary completion
- 3 Mar 2025 (actual)
- Study completion
- 3 Mar 2025 (actual)
- First posted
- 13 Aug 2025 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
The aim of this study is to construct a predictive model for postoperative delirium in elderly patients with hip fractures. The main question it answers is to construct a risk prediction model for hip fractures in the elderly through six machine learning methods, compare which method's model is better, and conduct external validation of the model's stability to provide a reference for the early clinical detection of postoperative delirium in elderly hip fracture patients.
The clinical data of elderly patients with hip fractures have been collected in clinical practice and the model has been constructed.
Study design
- Observational model
- Case-control
- Time perspective
- Retrospective
Who may qualify
- Ages
- 60 years and older
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
- Study population
- Patients over 60 years old who undergo surgical treatment for hip fractures
Key inclusion criteria (1 listed)
- Age ≥ 60 years; diagnosed with hip fracture by X-ray; patients who underwent surgical treatment.
Key exclusion criteria (1 listed)
- Patients with other severe diseases (Patients who reach grade IV or higher according to the American Society of Anesthesiologists (ASA) health status classification;Suffer from end-stage diseases;there is multiple organ dysfunction syndrome (MODS) or single organ failure); patients with mental disorders; patients participating in other studies.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
Postoperative delirium
Time frame: The day after the operation
The Memory and Delirium Assessment Scale (MDAS) was used for delirium risk screening and assessment, including consciousness, attention, speech, behavior, and sleep aspects.
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 13 Aug 2025.
- Individual participant dataSharing planned: No
Related trials for Delirium
RecruitingObservational study
The Impact of Fast-Track Anesthesia on Postoperative Neurocognitive Function in Patients Undergoing Cardiac Surgery
Delirium - Postoperative, Cardiac Surgery
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Prediction and Prevention of Postoperative Mortality and Morbidity
Dementia, Postoperative Delirium (POD)
Active, not recruitingPhase 3
The Danish Out-of-Hospital Cardiac Arrest Study
Out-Of-Hospital Cardiac Arrest, Post-Cardiac Arrest Syndrome
RecruitingPhase 3
Lactium Premedication to Prevent Emergence Agitation
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DEXmedetomidine for Postoperative Analgesia and Delirium Prevention After NEUROsurgery (DEX-NEURO Trial)
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
The record lists no contact. Use the official record to reach the sponsor.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Delirium, run by Second Affiliated Hospital of Soochow University at 1 site in China.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 1 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 13 Aug 2025. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in China. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Postoperative delirium (time frame: The day after the operation). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 13 Aug 2025.