Establishment of Clinical Prediction Model for Postoperative Symptomatic Spinal Epidural Hematoma

Establishment of Artificial Intelligence Algorithms Based Clinical Prediction Model for Patients with Postoperative Symptomatic Spinal Epidural Hematoma After Spinal Surgery

Status

Not yet recruiting

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT06633848

Enrollment

2000

Registered

2024-10-09

Start date

2025-01-01

Completion date

2026-12-31

Last updated

2024-10-09

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Spinal Epidural Hematoma

Keywords

artificial intelligence algorithm, clinical prediction model, postoperative symptomatic spinal epidural hematoma

Brief summary

The goal of this observational study is to establish a clinical prediction model based on artificial intelligence algorithms for patients with postoperative symptomatic spinal epidural hematoma(PSSEH) after spinal surgery. The investigators will collect the features of 2000 patients as the training set to train the models using AI algorithms, then recruit a prospective cohort of 2000 patients to test if the trained model is precise and consistent to predict the occurrence of PSSEH as well as to find out whether there is any new risk factor of PSSEH.

Detailed description

Firstly, the investigators plan to collect the features of 2000 patients who received spinal surgery at Peking University Third Hospital from January 2014 to December 2024, including those with PSSEH and the controls, as the training set to build up a prediction model based on multiple AI algorithms. Then, the investigators will choose the optimal model through comparing various features, assessing the robustness of the model quantitatively using k-fold cross validation and exploring the influence of all features on the output of the final model by means such as SHAP. Lastly, the investigators will recruit a prospective cohort of approximately 2000 patients who receive spinal surgery from January 2025 to December 2026 at Peking University Third Hospital and collect the same features as the training set to test if the trained prediction model is precise and consistent to predict the occurrence of PSSEH and whether there is any feature , undiscovered before, that is strongly related to PSSEH.

Interventions

PROCEDUREspinal surgery

spinal surgery

Study design

Observational model

COHORT

Time perspective

PROSPECTIVE

Eligibility

Sex/Gender

ALL

Healthy volunteers

Inclusion criteria

* patients who will receive spinal surgery from January 2025 to December 2026 at Peking University Third Hospital

Exclusion criteria

* patients with a history of lumbar trauma before admission; * patients who suffer from malignant tumor; * patients with systemic infection; * patients who quit the study midway

Design outcomes

Primary

Measure	Time frame	Description
if the patients have postoperative symptomatic spinal epidural hematoma	within 2 weeks after spinal surgery	patients with symptoms as below： 1. Persistent wound bleeding; 2. Exacerbation of wound pain; 3. Radicular symptoms-severe low back pain, shoulder and neck pain; 4. Motor dysfunction-limb muscle weakness, muscle atrophy; 5. Sensory abnormalities-reduced or lost tactile sensation, pain, and temperature perception; 6. pharyngeal discomfort, shortness of breath, and difficulty breathing; 7. Urinary and bowel dysfunction-urinary retention, urinary incontinence, dysporia; 8. Hematoma compressing the dura mater discovered during hematoma evacuation surgery; 9. Suspected PSSEH based on the surgeon's assessment； 10. Definitive diagnosis by MRI imaging;

Contacts

Primary ContactOrthopedics Department of Peking University Third Hospital

2411210441@pku.edu.cn008618811597977

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026