Diagnostic Algorithm for Appendizitis (DIALAPP) (DIALAPP)
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|ClinicalTrials.gov Identifier: NCT02627781|
Recruitment Status : Unknown
Verified August 2016 by Dr. Juliane Liese, Goethe University.
Recruitment status was: Recruiting
First Posted : December 11, 2015
Last Update Posted : September 1, 2016
The diagnosis of acute appendicitis remains a challenge in daily clinical practice. The high incidence of appendicitis drives the need to reduce morbidity and unnecessary costs due to negative appendectomies. The aim of the present observation study is to evaluate a diagnostic and therapeutic algorithm for suspected acute appendicitis.
The investigators believe that this diagnostic algorithm helps to simultaneously avoid unnecessary operations, costs and radiation exposure.
|Condition or disease|
|Reduction of Negative Appendectomy Rate|
This prospective observation study will be performed in the university hospital Frankfurt with a 24-h emergency service, with surgery and radiology readily available. The data will be compiled on patients older than 18 years who will be admitted to the emergency unit with suspected appendicitis.
During the study period, the clinical workflow is standardized. In all cases a resident of surgery and/or consultant surgeon clinically evaluate and perform an ultrasound scan on all patients with suspected appendicitis. With the use of clinical and laboratory results the physician (surgeon) will calculate the Alvarado Score and depending on the result the next diagnostic steps or the treatment will be chosen. Additionally, the department of gynecology of the university hospital routinely evaluate all women of childbearing age. Upon other terms following variables will be collected: age, gender, white blood cells (WBC), C-reactive protein (CRP), Alvarado Score, visuell pain scale, CT scan results, pathologic findings, time between admission and operation, operation procedure, treatment and diagnosis of patients without operation, length of hospital stay, and 30-day complication rate. Furthermore, there will be a follow-up of all patients (with and without operation) after 30 days and 6 months.
The investigators assume that the use of a diagnostic and therapeutic algorithm reduces unnecessary negative appendectomies and optimizes the duration of the hospital stay and the costs.
|Study Type :||Observational [Patient Registry]|
|Estimated Enrollment :||400 participants|
|Target Follow-Up Duration:||6 Months|
|Official Title:||Evaluation of Diagnostic Algorithm for Suspected Acute Appendicitis|
|Study Start Date :||November 2015|
|Estimated Primary Completion Date :||November 2017|
|Estimated Study Completion Date :||May 2018|
This group includes all patients with suspected appendicitis, who are admitted to our University Hospital.
- Evaluation of the negative appendectomy rate [ Time Frame: 6 months ]In this part of the study, the negative appendectomy rate will be determined. A negative appendectomy is characterized by normal findings in the pathological examination and therefore constitutes a medically unnecessary appendectomy.
- The influence of computed tomography for the diagnosis of acute appendicitis [ Time Frame: 30 days ]In this part of the study the investigators evaluate the careful and cost-effective integration of computed tomography in the clinical pathway.
- Incidence of readmission to hospital [ Time Frame: 6 months ]In this part of the study the readmission rate to hospital will be evaluated because of postoperative complications, infections and continuous abdominal pain will be included.
- Evaluation of postoperative complications [ Time Frame: 6 months ]In all patients, who received an appendectomy the postoperative complication rate will be recorded. In statistical analysis factors, which are associated with complications will be analyzed.
To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT02627781
|Contact: Juliane Liese, MDemail@example.com|
|Contact: Alexander Reinisch, MDfirstname.lastname@example.org|
|Principal Investigator:||Juliane Liese, MD||General and Visceral Surgery|