Osteoarthritis Knee Diagnosis Using Clinical Data - Medical Algorithm

Are you evaluating a patient for idiopathic osteoarthritis of the knee?

Yes

Does the patient have knee pain?

Yes

Does the patient have a condition than can cause secondary osteoarthritis?

Yes

Age of the patient

years

Is crepitus present?

Yes

Is bony enlargement present?

Yes

Duration of morning stiffness

minutes

Results

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Results Interpretation and Description References Next Steps

Data complete?

Evaluation appropriate?

Does the patient meet the selection criteria?

Clinical group

Does the patient have osteoarthritis based on the recursive partitioning model?

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Interpretation and Description

References

Next Steps in Evaluation

Diagnosis

Clinical Diagnosis, Including Family History For Genetics
Imaging Studies
- Recursive Partitioning Tree of Altman for the Diagnosis of Osteoarthritis of the Knee Using Clinical, Laboratory and X-Ray Data
Criteria For Diagnosis
Severity, Prognosis, Stage
- Arthritis of Hip Evaluation Score

Monitoring

Response To Therapy
- Therapeutic Response in Osteoarthritis Using the Criteria of the OARSI (Osteoarthritis Research Society International)
Disease Progression
- Criteria of Lequesne for Disease Activity in Osteoarthritis of the Hip and Knee

Evaluation

Results

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Interpretation and Description

References

Next Steps in Evaluation

Diagnosis

Monitoring

Specialty

Objective

ICD-10

Recursive Partitioning Tree of Altman for the Diagnosis of Osteoarthritis of the Knee Using Clinical Data

Purpose: To evaluate a patient for idiopathic osteoarthritis of the knee using the recursive partitioning criteria of Altman with clinical data.

Evaluation

Results

Please fill out required fields.

MedicalAlgorithms.com APIs

Power Your Solutions with 5,000+ Automated Medical Analytics

Interpretation and Description

References

Next Steps in Evaluation

Diagnosis

Monitoring

Specialty

Objective

ICD-10