ArticleJournal of vascular surgery. Venous and lymphatic disorders2024
Ability of Caprini and Padua risk-assessment models to predict venous thromboembolism in a nationwide Veterans Affairs study.
Article in Journal of vascular surgery. Venous and lymphatic disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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18 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.
- Risk prediction models for central venous catheter-related complications in children: a systematic review.BMC pediatrics · 2026Pooled it
- Experience in treating thrombosis after adjustment of a PICC catheter.Radiology case reports · 2026Article
- Machine Learning Algorithms to Predict Venous Thromboembolism in Patients With Sepsis in the Intensive Care Unit: Multicenter Retrospective Study.JMIR medical informatics · 2026Article
- Development of a predictive nomogram for perioperative lower extremity deep vein thrombosis in patients with breast cancer and the efficacy of dextran 40 prophylaxis.American journal of cancer research · 2026Article
- Development and validation of a machine learning model for predicting venous thromboembolism complications following colorectal cancer surgery.Visual computing for industry, biomedicine, and art · 2025Article
- Comparative Analysis of Padua and Caprini Scores in Predicting Venous Thromboembolism Risk Among Nonagenarians: A Cross-Sectional Study From Rugao.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2025Article
- Evaluation of factors underlying differences in venous thromboembolism rates between Black and White patients.Journal of vascular surgery. Venous and lymphatic disorders · 2025Article
- A composite risk assessment model for venous thromboembolism.Journal of vascular surgery. Venous and lymphatic disorders · 2025Article
- Risk stratification of deep vein thrombosis using caprini score among post-operative patients.Bioinformation · 2025Article
- Factors associated with venous thromboembolism pharmacoprophylaxis initiation in hospitalized medical patients: the Medical Inpatients Thrombosis and Hemostasis study.Journal of thrombosis and haemostasis : JTH · 2024Article
- The Clot Stops Here: Insights Into Venous Thromboembolism Prophylaxis Adherence From Two Cases.Cureus · 2024Article
- Padua Prediction Score and Hospital-Acquired Proximal and Isolated Distal Deep Vein Thrombosis in Symptomatic Patients.Hematology reports · 2024Article
- Development and validation of a novel screening tool for deep vein thrombosis in patients with spinal cord injury: A five-year cross-sectional study.Spinal cord · 2024Article
- Caprini versus Padua venous thromboembolism risk assessment scores: A comparative study in hospitalized patients at a tertiary center.Saudi medical journal · 2024Article
- Venous thromboembolism risk models may be ready for a makeover.Journal of vascular surgery. Venous and lymphatic disorders · 2024Article
- External Validation of the ICU-Venous Thromboembolism Risk Assessment Model in Adult Critically Ill Patients.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/HemostasisArticle
- Evaluating and Improving Knowledge of DVT Prophylaxis Among Healthcare Professionals at a Tertiary Care Hospital in Karachi, Pakistan: A Quality Improvement Study.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/HemostasisArticle
- CatBoost Machine Learning Model for Thrombosis Risk Prediction in Critically Ill Cancer Patients: A MIMIC-IV Database Study.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/HemostasisObservational
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11 authors at 3 institutions in 1 country.
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Abstract
objectiveVenous thromboembolism (VTE) is a preventable complication of hospitalization. Risk-stratification is the cornerstone of prevention. The Caprini and Padua are two of the most commonly used risk-assessment models (RAMs) to quantify VTE risk. Both models perform well in select, high-risk cohorts. Although VTE RAMs were designed for use in all hospital admissions, they are mostly tested in select, high-risk cohorts. We aim to evaluate the two RAMs in a large, unselected cohort of patients.
methodsWe analyzed consecutive first hospital admissions of 1,252,460 unique surgical and non-surgical patients to 1298 Veterans Affairs facilities nationwide between January 2016 and December 2021. Caprini and Padua scores were generated using the Veterans Affairs' national data repository. We determined the ability of the two RAMs to predict VTE within 90 days of admission. In secondary analyses, we evaluated prediction at 30 and 60 days, in surgical vs non-surgical patients, after excluding patients with upper extremity deep vein thrombosis, in patients hospitalized ≥72 hours, after including all-cause mortality in a composite outcome, and after accounting for prophylaxis in the predictive model. We used area under the receiver operating characteristic curves (AUCs) as the metric of prediction.
resultsA total of 330,388 (26.4%) surgical and 922,072 (73.6%) non-surgical consecutively hospitalized patients (total N = 1,252,460) were analyzed. Caprini scores ranged from 0 to 28 (median, 4; interquartile range [IQR], 3-6); Padua scores ranged from 0-13 (median, 1; IQR, 1-3). The RAMs showed good calibration and higher scores were associated with higher VTE rates. VTE developed in 35,557 patients (2.8%) within 90 days of admission. The ability of both models to predict 90-day VTE was low (AUCs: Caprini, 0.56; 95% confidence interval [CI], 0.56-0.56; Padua, 0.59; 95% CI, 0.58-0.59). Prediction remained low for surgical (Caprini, 0.54; 95% CI, 0.53-0.54; Padua, 0.56; 95% CI, 0.56-0.57) and non-surgical patients (Caprini, 0.59; 95% CI, 0.58-0.59; Padua, 0.59; 95% CI, 0.59-0.60). There was no clinically meaningful change in predictive performance in any of the sensitivity analyses.
conclusionsCaprini and Padua RAM scores have low ability to predict VTE events in a cohort of unselected consecutive hospitalizations. Improved VTE RAMs must be developed before they can be applied to a general hospital population.
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