Skip to content
Hakeemly
ع

Padua Prediction Score for VTE

Venous thromboembolism risk in hospitalised medical (non-surgical) patients.

For healthcare professionalsThrombosis & VTEv1.0.0

For healthcare professionals / clinical use. Not a self-diagnosis tool.

Your measurements

years
Active cancer (metastases and/or chemo- or radiotherapy in the last 6 months)
Previous VTE (excluding superficial vein thrombosis)
Reduced mobility (bed rest with bathroom privileges for at least 3 days)
Known thrombophilic condition
Recent (≤1 month) trauma and/or surgery
Heart and/or respiratory failure
Acute myocardial infarction or ischaemic stroke
Acute infection and/or rheumatological disorder
Obesity (BMI 30 or more)
Ongoing hormonal treatment

Calculated on your device. Nothing is sent to a server.

Your result will appear here

Enter your measurements, then press Calculate.

Methodology

Padua Prediction Score (Barbar 2010)

Cancer 3, previous VTE 3, reduced mobility 3, thrombophilia 3, trauma/surgery 2, age ≥70 1, heart/respiratory failure 1, MI/stroke 1, infection/rheumatological 1, BMI ≥30 1, hormonal treatment 1

Derived in a prospective cohort of medical inpatients; a score of 4 or more defined the high-risk group.

Who it is for
Adults admitted to hospital with an acute medical illness.
Version
1.0.0

How this calculator works

Where the formula comes from

  • Barbar and colleagues (2010) evaluated the Padua model prospectively in 1,180 consecutive patients admitted to an internal medicine department, with follow-up for up to 90 days.[1]
  • VTE occurred in 11.0% of high-risk patients (score 4 or more) without prophylaxis, 2.2% of high-risk patients with prophylaxis and 0.3% of low-risk patients.[1]

The inputs

  • Points: active cancer, previous VTE, reduced mobility and known thrombophilia 3 each; recent trauma or surgery 2; age 70 or over, heart or respiratory failure, acute MI or ischaemic stroke, acute infection or rheumatological disorder, BMI 30 or more and hormonal treatment 1 each.[1]

Where accuracy falls (published evidence)

  • The 2012 ACCP guideline noted the small number of VTE events and limited validation of the Padua model.[2]

What guidelines say

  • The 2012 ACCP guideline on VTE prevention in non-surgical patients presents the Padua score, with 4 or more points defining high risk.[2]

Sources

  1. Barbar S, Noventa F, Rossetto V, et al. A risk assessment model for the identification of hospitalized medical patients at risk for venous thromboembolism: the Padua Prediction Score. J Thromb Haemost. 2010;8(11):2450–2457. doi:10.1111/j.1538-7836.2010.04044.x
  2. Kahn SR, Lim W, Dunn AS, et al. Prevention of VTE in nonsurgical patients: antithrombotic therapy and prevention of thrombosis, 9th ed: American College of Chest Physicians evidence-based clinical practice guidelines. Chest. 2012;141(2 Suppl):e195S–e226S. doi:10.1378/chest.11-2296

Compiled from the published sources above. Every statement was agreed independently by three AI research tools (Claude, ChatGPT, DeepSeek) and its source verified in PubMed or Crossref by the Hakeemly editorial team. Not reviewed by a doctor unless stated. Agreed on

Worked example: how to calculate padua score

Inputs

Age
75 years
Active cancer (metastases and/or chemo- or radiotherapy in the last 6 months)
Yes
Heart and/or respiratory failure
Yes

Result

Padua score
5 of 20

4 or more: high VTE risk

An illustration with sample values, worked out with the same method the tool above uses.

Limitations

  • Not validated for surgical, obstetric or paediatric patients.
  • Prophylaxis decisions also weigh bleeding risk.

References

  1. Barbar S, Noventa F, Rossetto V, et al. A risk assessment model for the identification of hospitalized medical patients at risk for venous thromboembolism: the Padua Prediction Score. J Thromb Haemost. 2010;8(11):2450–2457. doi:10.1111/j.1538-7836.2010.04044.x

You may also find useful