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March 14, 2025Blood AdvancesOpen Access

Clustering identified 4 clinical profiles and distinguished between signs and symptoms in the Villalta scale, with sign scores associated with older age, male sex, and DVT extent, while symptom scores were associated with younger age, female sex, and provoked DVT.

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Why the study?

Postthrombotic syndrome is a chronic condition developing after DVT diagnosed using the Villalta scale, but heterogeneity among patients and within the Villalta scale remains to be investigated.

Does unsupervised machine learning identify distinct clinical profiles of postthrombotic syndrome in patients with deep vein thrombosis?

Population

818 patients from the IDEAL DVT study

Comparison

Unsupervised machine learning-identified clinical profiles and Villalta item clusters

Design

Unsupervised machine learning analysis

Follow-up

2 years

Authors

AIAaron F.J. IdingVCVincent ten CateHCHugo Ten Cate

Discussion

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Overview

May guide individualized PTS assessment by profile; leaves open whether Villalta scoring requires reappraisal in prospective studies.

Structured PICO

Does unsupervised machine learning identify distinct clinical profiles of postthrombotic syndrome in patients with deep vein thrombosis?

P
Population
818 patients with deep vein thrombosis (DVT) from the IDEAL DVT study
I
Intervention
Unsupervised machine learning clustering
O
Outcome
Clinical profiles of postthrombotic syndrome and clustering of Villalta scale items

Unsupervised machine learning reveals distinct clinical profiles and separates signs from symptoms in postthrombotic syndrome, suggesting a need to reappraise the Villalta scoring system for personalized risk prediction.

Cite This Study

Iding et al. (2025) studied this question.

synapsesocial.com/papers/6a82274ff10a9fcdd646c1a2https://doi.org/10.1182/bloodadvances.2025015829
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Post-thrombotic syndrome after early intervention in acute lower limb deep vein thrombosis: a retrospective cohort study2024
  2. 2Predictors of long-term post-thrombotic syndrome following high proximal deep vein thrombosis: a cross-sectional study2020
  3. 3Predictors of long-term post-thrombotic syndrome following high proximal deep vein thrombosis: a cross-sectional study2020 · 1 citations
  4. 4Predictors of long-term post-thrombotic syndrome following high proximal deep vein thrombosis: a cross-sectional study2020 · 1 citations
  5. 5Incidence and predictors of post-thrombotic syndrome in patients with proximal DVT in a real-world setting: findings from the GARFIELD-VTE registry2023 · 17 citations