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Peripheral Arterial Disease II: Clinical Manifestations and Diagnostic Evaluation01:21

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Clinical manifestationsPeripheral Arterial Disease (PAD) manifests through a range of symptoms, from the characteristic intermittent claudication to atypical presentations and severe complications in advanced stages. Intermittent claudication, a hallmark symptom of PAD, presents as exercise-induced muscle pain that typically resolves within minutes of rest. This pain is reproducible and stems from inadequate blood flow, leading to the accumulation of lactic acid produced during anaerobic...
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Peripheral Artery Disease III: Interprofessional Care01:27

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Peripheral Artery Disease (PAD) is characterized by narrowed arteries that diminish blood flow to the extremities. Effective management of PAD requires an interprofessional approach involving various healthcare professionals. The critical aspects of interprofessional care for PAD patients focus on risk factor modification, drug therapy, exercise therapy, nutrition therapy, critical limb ischemia care, and interventional radiology and surgical procedures.The primary treatment goal for PAD...
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Peripheral Artery Disease I: Introduction01:30

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Peripheral artery disease (PAD) predominantly results from atherosclerosis, which involves the accumulation of fatty deposits, or plaques, within the walls of arteries. This causes them to narrow and harden, significantly reducing blood flow. PAD predominantly affects the legs, particularly the arteries supplying the thighs and calves. In rare cases, it may involve other arteries, including those in the arms.Etiology of PAD:The principal cause of PAD is atherosclerosis, which results from fatty...
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Peripheral Artery Disease IV: Nursing Management01:26

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 The nursing management of a patient with peripheral artery disease (PAD) begins with a thorough assessment of the patient’s health history and clinical manifestations.AssessmentHealth History: Evaluate the patient’s history of hypertension, hyperlipidemia, family history of cardiovascular issues, and lifestyle factors such as dietary patterns, smoking, and physical activity.Physical Examination:Assess the affected extremity for decreased or absent peripheral pulses,...
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Peripheral Artery Disease V: Postoperative Nursing Management01:23

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During the postoperative period, it is crucial to focus on maintaining circulation, identifying and managing potential complications, and planning for discharge.Nursing AssessmentVital signs monitoring: Regularly monitor vital signs, including blood pressure, heart rate, respiratory rate, and temperature, to detect early signs of complications such as bleeding and infection.Circulation assessment: Monitor pulses, perform Doppler assessments, and check capillary refill, color, temperature, and...
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Atherosclerosis II: Clinical Manifestations and Diagnostic Tests01:27

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Atherosclerosis is a progressive disorder that leads to the thickening and narrowing of arterial walls due to plaque buildup. This condition can cause various symptoms depending on the arteries affected:Coronary Artery Disease (CAD): This condition affects the coronary arteries and may lead to chest pain (angina), shortness of breath (dyspnea), heart attacks, and other heart disease symptoms.Cerebrovascular Disease: This affects blood flow to the brain, causing transient ischemic attacks (TIAs)...
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Computerized Dynamic Posturography for Postural Control Assessment in Patients with Intermittent Claudication
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Model-Based Algorithms for Detecting Peripheral Artery Disease Using Administrative Data From an Electronic Health

Elizabeth Hope Weissler1, Steven J Lippmann2, Michelle M Smerek2

  • 1Division of Vascular and Endovascular Surgery, Duke University School of Medicine, Durham, NC, United States.

JMIR Medical Informatics
|July 15, 2020
PubMed
Summary
This summary is machine-generated.

A new algorithm accurately identifies patients with peripheral artery disease (PAD) using electronic health records. This method improves PAD detection, aiding research and clinical care for this underdiagnosed condition.

Keywords:
cardiologyelectronic health recordshealth datapatient selectionperipheral artery disease

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Area of Science:

  • Cardiovascular Medicine
  • Health Informatics
  • Biostatistics

Background:

  • Peripheral artery disease (PAD) affects millions, posing significant mortality and amputation risks.
  • PAD is underdiagnosed and undertreated, hindering effective care and research.
  • Identifying PAD patients in electronic health records (EHRs) is crucial but challenging.

Purpose of the Study:

  • To develop and validate a model-based algorithm for detecting PAD patients using EHR data.
  • To improve the identification of individuals with peripheral artery disease for clinical and research purposes.

Main Methods:

  • An EHR query identified patients with PAD-related diagnosis codes.
  • A logistic regression model with LASSO was built and validated using adjudicated patient data.
  • The algorithm incorporated diagnosis codes, administrative, imaging, and procedure flags.

Main Results:

  • The initial query identified 15,406 patients with PAD-related codes.
  • A LASSO model using 108 code flags achieved an area under the curve of 0.862.
  • The model effectively identified patients with peripheral artery disease.

Conclusions:

  • The developed algorithm accurately identifies PAD patients from large EHR datasets.
  • This model is advantageous as it uses broad patient data and does not rely on clinical notes.
  • It enables PAD identification using only administrative billing data, facilitating large-scale cohort studies.