Refine
Document Type
- Article (2) (remove)
Language
- English (2)
Has Fulltext
- yes (2) (remove)
Is part of the Bibliography
- no (2)
Keywords
- Diagnostic algorithm (2) (remove)
Institute
- Medizin (2)
Purpose: The management of patients with suspected appendicitis remains a challenge in daily clinical practice, and the optimal management algorithm is still being debated. Negative appendectomy rates (NAR) continue to range between 10 and 15%. This prospective study evaluated the accuracy of a diagnostic pathway in acute appendicitis using clinical risk stratification (Alvarado score), routine ultrasonography, gynecology consult for females, and selected CT after clinical reassessment.
Methods: Patients presenting with suspected appendicitis between November 2015 and September 2017 from age 18 years and above were included. Decision-making followed a clear management pathway. Patients were followed up for 6 months after discharge. The hypothesis was that the algorithm can reduce the NAR to a value of under 10%.
Results: A total of 183 patients were included. In 65 of 69 appendectomies, acute appendicitis was confirmed by histopathology, corresponding to a NAR of 5.8%. Notably, all 4 NAR appendectomies had other pathologies of the appendix. The perforation rate was 24.6%. Only 36 patients (19.7%) received a CT scan. The follow-up rate after 30 days achieved 69%, including no patients with missed appendicitis. The sensitivity and specificity of the diagnostic pathway was 100% and 96.6%, respectively. The potential saving in costs can be as much as 19.8 million €/100,000 cases presenting with the suspicion of appendicitis.
Conclusion: The risk-stratified diagnostic algorithm yields a high diagnostic accuracy for patients with suspicion of appendicitis. Its implementation can safely reduce the NAR, simultaneously minimizing the use of CT scans and optimizing healthcare-related costs in the treatment of acute appendicitis.
Background: Peanuts are a member of the legume family (botanical family Leguminosae) and peanut allergies are the most common cause of food anaphylaxis in many countries. The prevalence of peanut allergy is increasing.
Methods: Experts from Germany and Austria performed a standardized literature search and published their consensus recommendations in a White Paper on Peanut Allergy, which this care pathway is based upon, thus, providing a comprehensive diagnosis and treatment algorithm.
Results: The most important diagnostic key elements include a detailed clinical medical history, evidence of peanut-specific sensitization by means of skin prick testing and/or in vitro determination of the peanut (extract)-specific IgE and/or the molecular component diagnostics (most important Ara h 2-specific IgE, sometimes also Ara h1-, 3-, 6-, 8- and 9-specific IgE) as well as the gold standard, the double-blind, placebo-controlled food challenge. The diagnostic algorithms were created for the following constellations: Suspected primary peanut allergy with a clear history of systemic immediate-type reaction, suspected primary peanut allergy with questionable symptoms, suspected secondary (possibly pollen-associated) peanut allergy with a history of solely oropharyngeal symptoms and incidental finding of sensitization and no peanut ingestion so far.
Conclusions: After established diagnosis the standard of care is counseling to avoid peanut contact and prescription of emergency medications (oral antihistamines, oral steroids, inhaled β2-agonists, injectable intramuscular epinephrine) as needed. Instruction on the use of these emergency medications should be provided. A preparation for oral immunotherapy (OIT) for 4 to 17 years old peanut allergic children/ adolescents has been recently approved by the regulatory authorities. OIT for peanut allergy shows high efficacy and an acceptable safety profile, improves quality of life, and health economic aspects. Thus it offers a therapeutic option for peanut allergic children and adolescents.