Predicting Claudication Pain Using Equations

Purpose: To predict onset of claudication in a patient with peripheral vascular disease using measures taken at rest and the equations of Gardner et al.

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Evaluation

Are you evaluating a patient with claudication associated with peripheral vascular disease?

Yes

Gender of the patient

Male

Female

Laterality of vascular disease

Resting ankle systolic blood pressure

mm Hg

Resting brachial artery systolic blood pressure

mm Hg

Results

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Results Interpretation and Description References Next Steps

Data complete?

Evaluation appropriate?

Estimated distance in meters to pain onset

Estimated distance in meters to maximal claudication pain

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Interpretation and Description

References

Next Steps in Evaluation

Diagnosis

Risk Factors
- Prediction Rule of Sprengers et al for Cardiovascular Events in a Patient with Peripheral Arterial Disease (PAD, SMART Model)
- Peripheral Arterial Disease (PAD) Risk Factors | HIV-Infected Patient
Criteria For Diagnosis
- Peripheral Arterial Disease Score (PADS)
- Peripheral Arterial Disease (PAD) Risk Factors | HIV-Infected Patient
Severity, Prognosis, Stage
- Peripheral Arterial Disease Score (PADS)
- Peripheral Arterial Disease (PAD) Risk Factors | HIV-Infected Patient
Complications
- Prediction Rule of Sprengers et al for Cardiovascular Events in a Patient with Peripheral Arterial Disease (PAD, SMART Model)

Therapy

Selection
- Prediction Rule of Sprengers et al for Cardiovascular Events in a Patient with Peripheral Arterial Disease (PAD, SMART Model)

Specialty

Cardiology

Objective

criteria for diagnosis
severity
prognosis
stage

ICD-10

I73.9 - Peripheral vascular disease, unspecified

Info

Purpose: To predict onset of claudication in a patient with peripheral vascular disease using measures taken at rest and the equations of Gardner et al.

Specialty: Cardiology

Objective: criteria for diagnosis, severity, prognosis, stage

ICD-10: I73.9,

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