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Related Concept Videos

Diabetic Foot Ulcer01:31

Diabetic Foot Ulcer

Definition A diabetic foot ulcer (DFU) is a chronic, non-healing wound that develops in individuals with diabetes. It typically occurs on pressure-bearing areas such as the heel, metatarsal heads, or hallux, and carries a high risk of infection and amputation.Pathophysiology • The development of DFUs can be explained by four interconnected mechanisms: neuropathy, ischemia, infection, and impaired wound healing. • Neuropathy is the most common factor. Sensory neuropathy reduces pain perception,...
Peripheral Arterial Disease II: Clinical Manifestations and Diagnostic Evaluation01:21

Peripheral Arterial Disease II: Clinical Manifestations and Diagnostic Evaluation

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...
Peripheral Artery Disease IV: Nursing Management01:26

Peripheral Artery Disease IV: Nursing Management

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, temperature changes,...
Peripheral Artery Disease V: Postoperative Nursing Management01:23

Peripheral Artery Disease V: Postoperative Nursing Management

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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Related Experiment Video

Updated: Jun 20, 2026

A Simplified Technique for Producing an Ischemic Wound Model
12:00

A Simplified Technique for Producing an Ischemic Wound Model

Published on: May 2, 2012

Preliminary development of a diabetic foot ulcer database from a wound electronic medical record: a tool to decrease

Michael S Golinko1, David J Margolis, Adit Tal

  • 1Department of Surgery, Division of Wound Healing and Regenerative Medicine, Helen & Martin Kimmel Wound Center, New York University School of Medicine, 301 East 17th Street, New York, NY 10003, USA.

Wound Repair and Regeneration : Official Publication of the Wound Healing Society [And] the European Tissue Repair Society
|September 23, 2009
PubMed
Summary
This summary is machine-generated.

Developing a standardized database for diabetic foot ulcers (DFU) improves patient care. Increased electronic medical record (EMR) visits correlate with a lower risk of DFU amputation.

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Published on: March 3, 2023

Area of Science:

  • Diabetology
  • Clinical Informatics
  • Wound Care

Background:

  • Diabetic foot ulcers (DFU) are a significant cause of morbidity and amputation.
  • Standardized data collection is crucial for effective DFU management and research.
  • Existing electronic medical records (EMR) may lack specific variables for DFU care.

Purpose of the Study:

  • To develop a practical, standardized database for clinically relevant variables in DFU patient care.
  • To create a system for quantifying narrative data from medical records for DFU analysis.
  • To establish a DFU-specific database for research and clinical decision-making.

Main Methods:

  • Extracted numerical clinical data (age, labs, wound area) from wound electronic medical records (WEMR).
  • Developed a coding system to convert narrative reports (pathology, culture) into quantifiable variables.
  • Integrated data into a DFU-specific database with tables for demographics, vascular, radiology, wound characteristics, and debridement/amputation data.

Main Results:

  • The database included 146 patients with DFU, with 19 (13%) undergoing 32 amputations.
  • Increased WEMR visits were associated with a decreased risk of amputation (HR 0.87).
  • Amputees had significantly lower hemoglobin and albumin levels and a higher prevalence of osteomyelitis.

Conclusions:

  • A standardized WEMR-based database can enhance patient safety and quality of care for DFU.
  • This system facilitates early identification of nonhealing wounds and timely intervention.
  • The described data capture method can be adapted by clinicians for their patient populations.