Performance and Head-to-Head Comparison of Three Clinical Models to Predict Occurrence of Postthrombotic Syndrome: A Validation Study.
Thromb Haemost
; 123(7): 692-699, 2023 Jul.
Article
in En
| MEDLINE
| ID: mdl-36809776
ABSTRACT
OBJECTIVE:
The SOX-PTS, Amin, and Méan models are three different clinical prediction scores stratifying the risk for postthrombotic syndrome (PTS) development in patients with acute deep vein thrombosis (DVT) of the lower limbs. Herein, we aimed to assess and compare these scores in the same cohort of patients.METHODS:
We retrospectively applied the three scores in a cohort of 181 patients (196 limbs) who participated in the SAVER pilot trial for an acute DVT. Patients were stratified into PTS risk groups using positivity thresholds for high-risk patients as proposed in the derivation studies. All patients were assessed for PTS 6 months after index DVT using the Villalta scale. We calculated the predictive accuracy for PTS and area under receiver operating characteristic (AUROC) curve for each model.RESULTS:
The Méan model was the most sensitive (sensitivity 87.7%; 95% confidence interval [CI] 77.2-94.5) with the highest negative predictive value (87.5%; 95% CI 76.8-94.4) for PTS. The SOX-PTS was the most specific score (specificity 97.5%; 95% CI 92.7-99.5) with the highest positive predictive value (72.7%; 95% CI 39.0-94.0). The SOX-PTS and Méan models performed well for PTS prediction (AUROC 0.72; 95% CI 0.65-0.80 and 0.74; 95% CI 0.67-0.82), whereas the Amin model did not (AUROC 0.58; 95% CI 0.49-0.67).CONCLUSION:
Our data support that the SOX-PTS and Méan models have good accuracy to stratify the risk for PTS.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Postphlebitic Syndrome
/
Venous Thrombosis
/
Postthrombotic Syndrome
Type of study:
Diagnostic_studies
/
Etiology_studies
/
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Limits:
Humans
Language:
En
Journal:
Thromb Haemost
Year:
2023
Document type:
Article
Affiliation country:
Canada