Perioperative medicine & outcomes
Predicting deep vein thrombosis risk in patients with knee fractures: a nomogram-based study
Authors' conclusion
The nomogram developed in this study shows intense discrimination, calibration, and clinical utility, suggesting promise for predicting lower extremity DVT and functioning as a quantitative instrument in clinical settings.
Study context
- Population
- Hospitalised patients with knee fractures
- Participants
- 923 patients
- Outcome
- Lower limb deep vein thrombosis (DVT) (nomogram discrimination, AUC)
Methodological detailsnomogram, multiple logistic regression, random 7:3 split into training and validation cohorts
- Nomogram
- Multiple logistic regression
- Random 7:3 split into training and validation cohorts
Performance
As reported in the abstract
Discrimination for lower extremity DVT
| Test or model | AUC | 95% CI |
|---|---|---|
| Training set | 0.75 | 0.71-0.79 |
| Validation set | 0.76 |
AUC
Training set0.75
Validation set0.76
95% CI
Training set0.71-0.79
Validation set— not stated in the abstract
- Independent predictors (from 21 variables): age, PTA, FIB, TT, D-dimer, BMI
- 6
Further findings
Clinical utility (decision curve analysis)
- Decision curve analysis confirmed the nomogram's clinical applicability
Parts of this Brief are withheld: the automatic checks could not confirm them against the abstract.
Original publication
Predicting deep vein thrombosis risk in patients with knee fractures: a nomogram-based study. Perioper Med (Lond). Published 30 January 2026. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →