跳至主要内容
临床试验/NCT03324165
NCT03324165Unknown不适用

Randomized Control Trial Comparing Proposed Algorithm and Current Best Practice in the Evaluation of Suspected Appendicitis

Singapore General Hospital2 个研究点 分布在 1 个国家目标入组 160 人开始时间: 2016年10月1日最近更新:
适应症
干预措施

试验速览

阶段
不适用
入组人数
160
试验地点
2
主要终点
Percentage of CT performed

研究概览

简要总结

Acute appendicitis is one of the most common causes of acute abdominal pain requiring surgical intervention. In the current era, with diagnostic imaging technique like Computed Tomography (CT), negative appendectomy rates have been greatly reduced. However, the radiation risk with CT poses as a concern. Rules for clinical decision guiding CT utilization is thus essential to minimize unnecessary CT scans, which not only poses a radiation risk but also contributes to increased healthcare costs.

Through the development of an algorithm based on Alvarado Score for the management of acute appendicitis, investigators hope to reduce CT utilization with an acceptable negative appendectomy rate, and hence reducing unnecessary radiation and the healthcare costs involved.

详细描述

Acute appendicitis is one of the most common causes of acute abdominal pain requiring surgical intervention, with a lifetime risk of 8.6% for males and 6.7% for females. Historically, negative appendectomy rates of more than 20% were considered the norm. This is no longer acceptable in the current era, as despite low complication rates in the setting of negative appendectomy, conditions such as incisional hernias, intestinal obstruction secondary to adhesions and stump leakages can still result in significant morbidity.

Computed Tomography (CT) scan has emerged as the dominant imaging modality for evaluation of suspected appendicitis in adults. It has decreased negative appendectomy rates to fewer than 10%. However, the radiation exposure with CT poses a concern, particularly in appendicitis, which occurs predominantly in young patients most susceptible to the adverse effects of radiation. Available literature has estimated that at least 25% of CT scans are not clinically warranted and may pose more harm than benefits. Rules for clinical decision guiding CT utilization is thus essential to minimize unnecessary CT scans, which not only poses a radiation risk but also contributes to increased healthcare costs.

Currently, the management of suspected appendicitis is surgeon dependent. Accuracy of diagnosis is dependent on individual's clinical acumen, preference for CT scan and threshold for offering surgery. There is also a recent trend towards indiscriminate CT utilization with an estimated 1 in 4 CT scans ordered found to be clinically unwarranted. The Alvarado Score (AS) is a 10 point clinical scoring system for acute appendicitis that has been extensively validated. AS on a prospective database of 500 consecutive cases of suspected appendicitis admitted to Singapore General Hospital, Department of General Surgery from August 2013 to July 2014, was validated. A comparison was then made between diagnostic performance measures of CT scan and AS to identify ranges of AS where patients are unlikely to benefit from CT evaluation. From these findings, an objective algorithm for the management of suspected appendicitis guided by AS was formulated. Ideally, the algorithm will streamline CT utilization and reduce the number of CT scans ordered with an acceptable negative appendectomy rate. Thus, investigators hope to validate this proposed algorithm through a randomized control trial.

The trial will recruit 160 eligible patients over 2 years. Eligible patients who consented to participate in the trial will be subjected to randomization into one of the two trial groups - Usual Care Arm or Intervention Arm - in equal numbers (n=80). Patients randomized to Usual Care Arm will be managed according to individual's doctor discretion. On the other hand, patients randomized to Intervention Arm will have their Alvarado Score tabulated and managed as per proposed algorithm.

The primary objective of the trial is to show that the proposed management algorithm is effective in reducing the percentage of CT utilization as compared to current best practice for patients with suspected appendicitis seen at Singapore General Hospital and Sengkang Health. The hypothesis is that the proposed management algorithm will reduce the percentage of CT scans from 80%, which is the CT utilization rate when current best practice is used, to 60%. The study will be powered to detect this decrease with a 5% type I error rate.

研究设计

研究类型
Interventional
分配方式
Randomized
干预模型
Parallel
主要目的
Health Services Research
盲法
Double (Participant, Outcomes Assessor)

入排标准

年龄范围
21 Years 至 80 Years(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • Patients between the ages of 21 to 80 who are admitted to Singapore General Hospital and Sengkang Health for suspected appendicitis based on admission diagnosis from the Emergency Department

排除标准

  • Patients who are pregnant
  • Patients below 21 or above 80 years of age
  • Patients with generalized peritonitis on presentation
  • Patients with palpable right iliac fossa mass on presentation
  • Patients with evidence of acute confusional state/dementia
  • Patients at high risk of surgery (ASA>4) from the study
  • Patients who are immunocompromised (on chemotherapy, steroids etc.)

研究组 & 干预措施

Usual Care Arm

No Intervention

Patients randomized to Usual Care Arm will be managed as per current best practice that is based on the individual doctor's discretion.

Intervention Arm

Experimental

Patients randomized to Intervention Arm will be managed as per the proposed algorithm, which is based on the computation of Alvarado Score.

干预措施: Proposed Algorithm (Other)

结局指标

主要结局

Percentage of CT performed

时间窗: Through study completion, an average of 2 years.

The percentage of CT scans performed for patients within each management arm

次要结局

  • Percentage of negative appendectomy(Through study completion, an average of 2 years.)
  • Percentage of missed diagnosis(2 weeks after discharge)
  • Length of stay(2 weeks after discharge)
  • Cost of stay(2 weeks after discharge)

研究者

申办方类型
Other
责任方
Sponsor

研究点 (2)

Loading locations...

相似试验