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Related Concept Videos

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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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Related Experiment Video

Updated: Aug 26, 2025

Skin Biopsy for Diagnosing Discoid Lupus Erythematosus
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Cutaneous vasculitis; An algorithmic approach to diagnosis.

Erkan Alpsoy1

  • 1Department of Dermatology and Venereology, School of Medicine, Akdeniz University, Antalya, Turkey.

Frontiers in Medicine
|October 10, 2022
PubMed
Summary

This review presents a practical, algorithmic approach to diagnosing vasculitis, a diverse group of blood vessel inflammatory diseases. Dermatologists can leverage skin manifestations for early and effective diagnosis using clinical and histopathological evaluations.

Keywords:
IgA vasculitisalgorithmscutaneousleukocytoclasticvasculitis

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Area of Science:

  • Immunology
  • Dermatology
  • Rheumatology

Background:

  • Vasculitides are a heterogeneous group of diseases characterized by blood vessel inflammation and damage.
  • These conditions vary in pathophysiological mechanisms, clinical presentation, and severity, ranging from mild to life-threatening.
  • Skin involvement is common in vasculitis, offering advantages for early recognition due to its visibility and accessibility for examination and biopsy.

Purpose of the Study:

  • To provide a practical and algorithmic approach for diagnosing vasculitis.
  • To assist clinicians, particularly dermatologists, in the prompt and effective diagnosis of vasculitis.
  • To establish a rational framework for selecting diagnostic methods based on current literature and expert experience.

Main Methods:

  • Review of current literature on vasculitis diagnosis.
  • Development of a stepwise, algorithmic diagnostic approach.
  • Integration of clinical, histopathological, laboratory, and radiological evaluation methods.

Main Results:

  • The proposed algorithm combines existing knowledge with expert experience for a structured diagnostic process.
  • Emphasis on the critical role of detailed skin evaluation (clinical and histopathological) in early vasculitis diagnosis.
  • The approach guides the selection of appropriate diagnostic tools, acknowledging it as a framework rather than strict rules.

Conclusions:

  • Dermatologists are well-positioned for early vasculitis diagnosis due to frequent skin manifestations.
  • A systematic, algorithmic approach enhances diagnostic accuracy and efficiency.
  • The review offers a practical guide for managing patients with suspected vasculitis.