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临床试验/NCT04614649
NCT04614649已完成不适用

Right Iliac Fossa Treatment-Turkey Audit

Gazi University1 个研究点 分布在 1 个国家目标入组 3,358 人开始时间: 2020年9月10日最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
入组人数
3,358
试验地点
1
主要终点
Best classification performance among 4 appendicitis scoring systems (for Turkish population)

研究概览

简要总结

Background:

Acute appendicitis stands out as a frequently encountered surgical emergency. Despite decades of experience and research, the diagnosis remains a formidable challenge, particularly in young females experiencing acute abdominal pain, where the assessment requires consideration of a broader spectrum of potential causes. An overarching concern lies in the risk of over-treatment, leading to an escalation in unnecessary surgeries, known as the negative appendectomy rate (NAR). This elevated NAR is associated with postoperative complications, prolonged hospital stays, and avoidable healthcare expenditures. Despite international guidelines recommending the routine use of risk prediction models for patients with acute abdominal pain, reported NAR values have reached as high as 28.2% in females and 12.1% in males.

Aim:

The primary study aim is to identify optimal risk prediction models for acute RIF pain in Turkey.

The secondary aims are to audit the normal appendicectomy rate, assess whether these scores have similar efficacy in immigrants, and demonstrate nationwide clinical trends to discuss possible improvements.

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Prospective

入排标准

年龄范围
18 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • All consecutive patients referred to general surgeons with right iliac fossa pain or suspected appendicitis.
  • All patients who undergo an appendicectomy during the study period.

排除标准

  • Previous appendicectomy, right hemicolectomy, or total colectomy.
  • Previous abdominal surgery in the last 90 days.
  • Pregnancy.
  • Patients confirmed with COVID-19.

结局指标

主要结局

Best classification performance among 4 appendicitis scoring systems (for Turkish population)

时间窗: During admission

Data is used to calculate the four most commonly used adult risk prediction models: Alvarado, the Appendicitis Inflammatory Response (AIR), Raja Isteri Pengiran Anak Saleha Appendicitis (RIPASA), and Adult Appendicitis Score (AAS). Then, the performance of each scoring system will be compared with one another to find the best scoring system among them.

次要结局

  • Normal Appendicectomy Rate (NAR)(All patients are followed up for 60 days, and data being utilized for NAR calculation is collected within that timeframe.)
  • Best classification performance among 4 appendicitis scoring systems (for immigrant population)(During admission)

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Ali Yalcinkaya

Dr.

Gazi University

研究点 (1)

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