Ankylosing Spondylitis
Conditions
Interventions
Gold Standard:The clinical diagnosis of difficult airway, based on the Cormack-Lehane grade assessed by an experienced anesthesiologist using direct laryngoscopy as documented in the anesthesia record
Index test:A machine learning prediction model built on multimodal data (including spinal imaging features, clinical physiological parameters, and laboratory indicators). The model will output a predi
Sponsors
The Third People's Hospital of Chengdu
Eligibility
Sex/Gender
All
Age
18 Years to 65 Years
Inclusion criteria
Inclusion criteria: All patients diagnosed with ankylosing spondylitis who underwent elective surgery at Chengdu Third People's Hospital from December 2019 to August 2025 will be included in this study.
Exclusion criteria
Exclusion criteria: Patients with missing imaging data or incomplete airway management records will be excluded.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Area under the receiver operating characteristic curve (AUC) of the prediction model; | — |
Secondary
| Measure | Time frame |
|---|---|
| Calibration performance of the prediction model;Identification and ranking of key predictive features;Incremental predictive value of multimodal data fusion; | — |
Countries
China
Contacts
Public ContactJuan Tan
The Third People's Hospital of Chengdu
Outcome results
None listed