Anesthesia Method on Mortality in Hip Fracture Surgeries in the Elderly: Predictions by Artificial Intelligence

April 26, 2024 updated by: Volkan Alparslan, Kocaeli University

The Impact of Anesthesia Method on Mortality in Hip Fracture Surgeries in the Elderly: Predictions Supported by Artificial Intelligence

With increasing life expectancy, the elderly population is growing. Hip fractures significantly increase morbidity and mortality, particularly within the first year, among elderly patients. Managing anesthesia in these elderly patients, who often have multiple comorbidities, is challenging. Identifying perioperative factors that can reduce mortality will benefit the perioperative management of these patients.

The investigators aimed to predict the impact of anesthesia management on mortality in hip fracture patients using predictions supported by artificial intelligence.

Study Overview

Status

Not yet recruiting

Conditions

Study Type

Observational

Enrollment (Estimated)

250

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Older Adult

Accepts Healthy Volunteers

Yes

Sampling Method

Non-Probability Sample

Study Population

Patient data will be accessed retrospectively via the hospital record system. Consistent with the literature, in elderly patients with hip fractures, risk factors for mortality will be assessed preoperatively and postoperatively as well as postoperative complications Patients with and without mortality will be examined in two separate subgroups. All studies for machine learning classification will be conducted at the Artificial Intelligence and Simulation Systems Research and Development Laboratory at Kocaeli University's Faculty of Engineering and will be supervised by a faculty member specializing in artificial intelligence and machine learning.

Description

Inclusion Criteria:

  • Patients who underwent surgery at our hospital due to hip fractures between 2017 and 2024 will be included retrospectively in the study.
  • The inclusion criteria are patients aged 65 and older, and those whose cause of hip fracture was a simple fall from standing height.

Exclusion Criteria:

  • Patients with pathological hip fractures due to malignancy, cancer patients with multiple organ metastases, and those who have undergone revision hip fracture surgery will be excluded from the study.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
The Impact of Anesthesia Method on Mortality in Hip Fracture Surgeries in the Elderly: Predictions Supported by Artificial Intelligence
Time Frame: 3 months
Developing a new scoring system by evaluating the clinical conditions and anesthesia management of patients who experience mortality within the first year following a hip fracture, using artificial intelligence.
3 months

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
The Impact of Anesthesia Method on Mortality in Hip Fracture Surgeries in the Elderly:
Time Frame: 3 months
Assisting end-of-life decisions by predicting mortality.
3 months

Other Outcome Measures

Outcome Measure
Measure Description
Time Frame
The Impact of Anesthesia Method on Mortality in Hip Fracture Surgeries in the Elderly:
Time Frame: 3 months
Providing economic benefits with a mortality prediction score.
3 months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Kocaeli University

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

May 25, 2024

Primary Completion (Estimated)

June 25, 2024

Study Completion (Estimated)

July 10, 2024

Study Registration Dates

First Submitted

April 17, 2024

First Submitted That Met QC Criteria

April 26, 2024

First Posted (Actual)

April 30, 2024

Study Record Updates

Last Update Posted (Actual)

April 30, 2024

Last Update Submitted That Met QC Criteria

April 26, 2024

Last Verified

April 1, 2024

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • GOKAEK-2024/06.22

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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