# Padua Prediction Score (VTE Risk, Medical Patients)

Calculate the Padua Prediction Score to stratify venous thromboembolism (VTE) risk in hospitalized medical (non-surgical) patients. 11 categories: 3 points each (active cancer metastatic or chemo/radiation ≤6 months, previous VTE, reduced mobility ≥3 days, known thrombophilia); 2 points (recent ≤1 month trauma and/or surgery); 1 point each (age ≥70, heart and/or respiratory failure, acute MI or ischemic stroke, acute infection and/or rheumatologic disorder, obesity BMI ≥30, ongoing hormonal treatment). Interpretation: <4 low risk (VTE ~0.3% — case-by-case prophylaxis); ≥4 high risk (VTE ~11% without prophylaxis — recommend pharmacologic prophylaxis, e.g., LMWH). Derived from Barbar et al. 2010. Not medical advice.

> Canonical page: https://elysiatools.com/en/tools/padua-score

- **Category:** Health

- **Keywords:** Padua, Padua Prediction Score, VTE, venous thromboembolism, DVT, PE, medical patients, thromboprophylaxis, LMWH, hospitalized

## Overview

The Padua Prediction Score calculator estimates venous thromboembolism (VTE) risk in hospitalized medical, non-surgical patients. Select applicable risk factors to calculate a total score and classify risk as low (<4) or high (≥4). This tool is based on Barbar et al. 2010 and is not medical advice.

## Inputs

- **Active cancer (metastatic or chemo/radiation ≤6 months)** (checkbox): Local/distant metastasis and/or chemo or radiation within 6 months. +3.
- **Previous VTE (excl. superficial thrombosis)** (checkbox): Previous DVT or PE (excluding superficial vein thrombosis). +3.
- **Reduced mobility (bedridden ≥ 3 days)** (checkbox): Bedridden or greatly reduced mobility for ≥ 3 days. +3.
- **Known thrombophilia** (checkbox): Known thrombophilic condition (e.g., antithrombin deficiency, Factor V Leiden, antiphospholipid syndrome). +3.
- **Recent (≤ 1 month) trauma and/or surgery** (checkbox): Trauma and/or surgery within the past month. +2.
- **Age ≥ 70 years** (checkbox): Age 70 years or older. +1.
- **Heart and/or respiratory failure** (checkbox): Heart failure and/or respiratory failure. +1.
- **Acute MI or ischemic stroke** (checkbox): Acute myocardial infarction or ischemic stroke. +1.
- **Acute infection and/or rheumatologic disorder** (checkbox): Acute infection and/or rheumatologic disorder. +1.
- **Obesity (BMI ≥ 30)** (checkbox): Body mass index ≥ 30 kg/m². +1.
- **Ongoing hormonal treatment** (checkbox): Ongoing hormonal treatment (e.g., oral contraceptives, HRT). +1.

## When to use

- Assess VTE risk in an adult hospitalized medical patient.
- Review common Padua risk factors before considering thromboprophylaxis.
- Document a structured risk score for clinical discussion and assessment.

## How it works

- Select each applicable risk factor, such as active cancer, previous VTE, reduced mobility, or known thrombophilia.
- The calculator assigns the corresponding Padua points: 3, 2, or 1 depending on the factor.
- It adds the selected points and returns the Padua total with its risk category.
- Use the result alongside clinical judgment, contraindications, and local guidance.

## Use cases

- Hospital medicine teams assessing thrombosis risk at admission.
- Clinicians reviewing whether pharmacologic prophylaxis may be appropriate for a medical inpatient.
- Medical education and documentation of Padua score components.

## Frequently asked questions

### What does the Padua Prediction Score assess?

It estimates VTE risk in hospitalized medical, non-surgical patients.

### What score indicates high VTE risk?

A total score of 4 or higher indicates high risk in this calculator.

### What does a score below 4 mean?

A score below 4 indicates low risk; prophylaxis should be considered case by case.

### Which factors are included?

The score includes cancer, previous VTE, reduced mobility, thrombophilia, recent trauma or surgery, age, heart or respiratory failure, acute MI or ischemic stroke, infection or rheumatologic disease, obesity, and hormonal treatment.

### Does this calculator recommend treatment?

No. It provides risk stratification only. Clinical decisions require professional assessment and applicable guidelines.

## Related tools

- [Base Excess Calculator (Metabolic Component)](https://elysiatools.com/en/tools/base-excess-calculator): Calculate base excess (BE) using the Siggaard-Andersen formula. BE < −3 metabolic acidosis, > +3 metabolic alkalosis. HCO₃⁻ auto-calculated from pH + PaCO₂ if omitted. Derived from Siggaard-Andersen 1974, Cornell PICU, Medscape, and Langer 2022. Not medical advice.
- [Blood Gas Acid-Base Interpretation (AG / ΔAG)](https://elysiatools.com/en/tools/blood-gas-anion-gap): Complete ABG analysis: pH, primary disorder, compensation (Winter's formula), anion gap ± albumin correction, delta ratio for mixed disorder detection. Derived from Emmett 2016, Kraut 2007, Rastegar 2007, LITFL, MDCalc, and Adrogué 1998. Not medical advice.
- [Caprini Score (VTE Risk, 2005)](https://elysiatools.com/en/tools/caprini-score): Calculate the 2005 Caprini Risk Assessment Model to stratify venous thromboembolism (VTE) risk in surgical patients. ~40 items weighted 1/2/3/5 points: 1 point (age 41-60, minor surgery, BMI >25, swollen legs, varicose veins, pregnancy/postpartum, recurrent miscarriage, OCP/HRT, sepsis <1mo, lung disease/pneumonia <1mo, COPD, acute MI, CHF <1mo, bedridden, medical bed rest, IBD); 2 points (age 61-74, arthroscopic surgery, major open surgery >45min, laparoscopic >45min, malignancy, bed >72h, plaster cast, central line); 3 points (age ≥75, personal/family VTE history, factor V Leiden, prothrombin 20210A, lupus anticoagulant, anticardiolipin, homocysteine, HIT, other thrombophilia); 5 points (stroke <1mo, elective major lower-extremity arthroplasty, hip/pelvis/leg fracture <1mo, acute spinal cord injury <1mo, multiple trauma <1mo). Management tiers: 0 lowest, 1-4 low-moderate (mechanical), 5-6 high (consider LMWH 7-10d), 7-8 high (LMWH 7-10d), ≥9 highest (LMWH 30d). Derived from Caprini 2005. Not medical advice.
- [CHA₂DS₂-VASc Score (AFib Stroke Risk)](https://elysiatools.com/en/tools/chads2-vasc-score): Calculate the CHA₂DS₂-VASc score to stratify stroke risk in non-valvular atrial fibrillation and guide oral anticoagulation. Components: Congestive heart failure/LV dysfunction (+1), Hypertension (+1), Age ≥75 (+2), Diabetes (+1), prior Stroke/TIA/thromboembolism (+2), Vascular disease — prior MI/PAD/aortic plaque (+1), Age 65–74 (+1), Sex category female (+1). Range 0–9 (women) / 0–8 (men). Thresholds: men ≥2 or women ≥3 → recommend oral anticoagulation (DOAC preferred over warfarin); men 1 or women 2 → consider anticoagulation; men 0 or women ≤1 → omit. Female sex alone is not an independent risk factor (score 1 from sex alone is treated as 0). Includes an approximate annual stroke-risk estimate (Lip 2010 derivation cohort). Derived from Lip 2010 (Chest), 2019 AHA/ACC/HRS update, and 2023 ACC/AHA/ACCP/HRS AF guideline. Combine with bleeding risk (HAS-BLED) and shared decision-making. Not medical advice.
- [Charlson Comorbidity Index (Age-Adjusted)](https://elysiatools.com/en/tools/charlson-comorbidity-index): Calculate the Charlson Comorbidity Index (CCI), including the age-adjusted variant, to predict 1-year mortality from chronic comorbidities. 19 comorbidities are weighted by mortality risk: 1 point (MI, CHF, PVD, cerebrovascular disease, dementia, chronic pulmonary disease, connective tissue disease, peptic ulcer, mild liver disease, diabetes without complications); 2 points (hemiplegia/paraplegia, moderate-to-severe CKD, diabetes with end-organ damage, any non-metastatic tumor, leukemia, lymphoma); 3 points (moderate-to-severe liver disease); 6 points (metastatic solid tumor, AIDS). Age adjustment adds 1 point per decade ≥50 (50-59 +1 … ≥90 +5). Interpretation: 0 ~8%, 1-2 ~25%, 3-4 ~50%, ≥5 ~80-90% 1-year mortality (derivation cohort). Derived from Charlson 1987 (J Chronic Dis) and the 1994 validation. Not medical advice.
- [CURB-65 vs PSI vs SMART-COP (Pneumonia Severity Comparison)](https://elysiatools.com/en/tools/curb-65-vs-pneumonia-severity): Compare three pneumonia severity scores side-by-side from one set of inputs to support concordance reading. CURB-65 (0-5: Confusion, Urea, RR, BP, age ≥65) — quick bedside triage; PSI/PORT (Fine 1997, 5 risk classes) — the most accurate mortality stratification, more complex; SMART-COP (0-10, 2 points each for SBP <90 and hypoxia, 1 point each for multilobar CXR, albumin <3.5, RR ≥25, tachycardia ≥125, confusion, pH <7.35) — predicts need for ICU respiratory/vasopressor support. Each score has a different focus: CURB-65 is fast; PSI is more precise; SMART-COP identifies who needs ICU. The tool reports each score's total/category/interpretation and an agreement analysis (whether all three point to outpatient/admission/ICU). When scores disagree, favor the more conservative disposition. Derived from Lim 2003, Fine 1997, Charles 2008. Not medical advice.
- [Serial Dilution Final Concentration (C_f = C₀ × ∏ Vᵢ/(Vᵢ+V_d))](https://elysiatools.com/en/tools/dilution-factor-final): Compute the final concentration after multi-step serial dilutions, with per-step folds, cumulative folds, and total dilution factor.
- [Drug Accumulation Index Calculator (R = 1/(1-e^(-kτ)))](https://elysiatools.com/en/tools/drug-accumulation-index): Calculate the drug accumulation index R under repeated fixed-interval dosing with linear first-order elimination: R = 1 / (1 - e^(-kτ)), where k = ln2 / t½ and τ is the dosing interval. R is the ratio of the steady-state peak concentration to the peak concentration after the first dose — it quantifies how much the body burden rises at steady state versus a single dose. For example, dosing once per half-life (τ = t½) gives R = 2. The term e^(-kτ) is the fraction of peak concentration remaining at the end of one interval. Valid only for linear first-order elimination with fixed dose and interval — NOT for Michaelis-Menten drugs (phenytoin) or non-linear kinetics. Not medical advice.

## Samples

- [Web Image Processing Python Samples](https://elysiatools.com/en/samples/web-image-processing-python): Web Python image processing examples using PIL/Pillow including reading, saving, resizing, and format conversion
- [Android Image Processing Java Samples](https://elysiatools.com/en/samples/android-image-processing-java): Android Java image processing examples including reading/saving images, scaling, and format conversion
- [Android Image Processing Kotlin Samples](https://elysiatools.com/en/samples/android-image-processing-kotlin): Android Kotlin image processing examples including reading/saving images, scaling, and format conversion
- [Web Image Processing Rust Samples](https://elysiatools.com/en/samples/web-image-processing-rust): Web Rust image processing examples including image read/save, scaling, and format conversion