- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06411496
Creation, Implementation and Validation of Intra- and Postoperative Risk Prediction Models
This project aims to create and validate surgical risk prediction models for the prediction of complications in patients pending surgery during the operation, in the immediate postoperative period and up to one month after discharge.
At present there is no risk assessment system in place, except for the ASA scale which is mainly based on the subjective impression of the facultative, who assesses it in the universal preoperative consultations that we have planned in the system. In this project we intend to provide robust models, based on the analysis of data from patients in 4/5 Basque hospitals, i.e. generated in our population.
Study Overview
Status
Conditions
Detailed Description
A three-phase study has been designed:
- st phase: Derivation and internal validation of the predictive model by means of a reprospective cohort study in which patients operated on at the Galdakao-Usansolo Hospital (HGU), Urduliz Hospital (HU), Basurto University Hospital (HUB), Donostia University Hospital (HUD) and Araba University Hospital (HUA) will be recruited. Hospital universitario de Donostia (HUD) and Hospital universitario de Araba (HUA) over XXX years and data will be obtained from the preoperative period until the month of discharge from the operation. For the identification and creation of these models, machine learning techniques will be used with the main purpose of identifying variables not described in the literature. Machine learning is the most important branch of Artificial Intelligence. Within Machine Learning, supervised learning is the most widely used area. Supervised learning allows computers to learn to perform tasks by discovering and exploiting complex patterns in large amounts of data. In the specific case of data from electronic medical records, Machine Learning algorithms allow us to use the historical data of each patient so that the computer learns to anticipate future events in a personalised way.
- nd phase: External validation of the models created in the first phase in a cohort of patients operated on in 2020 in the same centres. The methodology proposed by Debray et al. will be applied.
- rd phase: Evaluation of results after the implementation of the models in the EHR of the Galdakao-Usansolo Hospital in the form of an 'Action Guide'. Based on the risk stratification carried out in the previous phases, the anaesthesia department will create recommendations for action according to the level of risk. The percentages of mortality and intra- and postoperative complications will be compared by means of a quasi-experimental intervention study, comparing the results of the HGU hospital where the risk scale and the consequent recommendations will be implemented, before and after its implementation, and also comparing them with the percentages of patients who become complicated and/or die in HU, HUB, HUD and HUA, where the usual clinical practice will be followed, based on the ASA scale. This prospective cohort, once the risk scale has been implemented, will also be used for external validation (2020-2021).
Socio-demographic and clinical variables (main diagnosis, comorbidities, treatments, previous interventions, intraoperative data, post-operative data, procedures performed during hospitalisation, and complications up to one month after hospital discharge) and laboratory parameters will be collected.
This information will be extracted from osabide's global data exploitation system, Oracle Business Intelligence, and the laboratory data will be extracted from the information systems of the clinical laboratories of the centres involved.
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
-
-
Bizkaia
-
Galdakao, Bizkaia, Spain, 48960
- Hospital Galdakao Usansolo
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Patients over 18 years of age pending scheduled or urgent surgery in non-cardiac surgery.
Exclusion Criteria:
- Surgery performed under local anaesthesia
- Paediatric Surgery
- Obstetric Patient
- Cardiac Surgery
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
---|
Scheduled or urgent surgery
This is a retrospective cohort study recruiting surgical patients at Galdakao-Usansolo Hospital between 2019 and 2022.
We used anonymized patient level data from patients in waiting list to be intervened in four public hospitals in Basque Country.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Death intraoperatively and up to one month after surgery
Time Frame: One-month
|
yes/not
|
One-month
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Intensive care unit admission
Time Frame: One month
|
yes/not
|
One month
|
intra-operative complications
Time Frame: Complications during the intervention
|
Categorical variable
|
Complications during the intervention
|
readmission
Time Frame: One month
|
yes /not
|
One month
|
Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Francisco Mendoza, MD, Galdakao-Usansolo Hospital
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- PI2023/029
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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.
Clinical Trials on Postoperative Complications
-
Marmara UniversityHacettepe University; Cukurova University; Gazi University; Baskent University; Istanbul... and other collaboratorsNot yet recruitingComplications, PostoperativeTurkey
-
Syed HusainRecruitingComplications, PostoperativeUnited States
-
Vastra Gotaland RegionRecruitingSurgery | Lung Infection | Complications, PostoperativeSweden
-
University of PittsburghCompletedLiver Transplant; Complications | Perioperative/Postoperative ComplicationsUnited States
-
Washington University School of MedicineNational Institute of Nursing Research (NINR)CompletedSurgery | Surgery--Complications | Perioperative/Postoperative ComplicationsUnited States
-
Wake Forest University Health SciencesTerminatedPerioperative/Postoperative ComplicationsUnited States
-
Technical University of MunichHealth Information Management, BelgiumActive, not recruitingPerioperative/Postoperative Complications
-
Atatürk Chest Diseases and Chest Surgery Training...CompletedPerioperative/Postoperative ComplicationsTurkey
-
Namigar TurgutCompletedPerioperative/Postoperative ComplicationsTurkey
-
TC Erciyes UniversityCompletedPerioperative/Postoperative ComplicationsTurkey