- ICH GCP
- 미국 임상 시험 레지스트리
- 임상시험 NCT06548009
담즙산성 설사 진단을 위한 혈청 대사 기반 방법
Bile acid diarrhoea (BAD) is a common yet under-diagnosed and under-recognised disease. The primary symptoms are watery diarrhoea with high frequency of unpredictable bowel movements,urgency and faecal incontinence making BAD a debilitating condition. One of the challenges of BAD is the lack of a readily available and accurate diagnostic test.
The aim of this study is to validate a BAD diagnostic score (BDS) based on metabolomics.
연구 개요
상세 설명
Bile acid diarrhoea (BAD) is a common yet under-diagnosed and under-recognised disease. The primary symptoms are watery diarrhoea with high frequency of unpredictable bowel movements,urgency and faecal incontinence making BAD a debilitating condition. The pathophysiology of BAD involves spill-over of bile acids to the colon where bile acids irritate the colonic mucosa and cause osmotic-induced fluid secretion. The aetiology of BAD can be either idiopathic (termed primary BAD or type 2 BAD) or the disease can develop secondary to ileal dysfunction (due to, e.g., intestinal surgery or Chron's disease, termed type 1 BAD) or other conditions interfering with ileal absorption (due to, e.g., cholecystectomy or radiation therapy, termed type 3 BAD).
Irritable bowel syndrome (IBS) with predominant diarrhoea is a common condition in the general population (prevalence of around 4%) and emerging data suggest that around 1/3 suffering from this condition in fact have BAD. Many of these patients remains undiagnosed and thus,inappropriately treated or even untreated. A major reason for this is challenges associated with diagnosing BAD. Several diagnostic modalities have been suggested including 14C-glycocholate breath test, stool test and assessment of 48-hour faecal bile acid output. These tests are cumbersome, time-consuming, and not widely available. The 75selenium homocholic acid taurine (SeHCAT) test is considered the gold standard for the diagnosis of BAD. It measures, via a standard gamma camera, the 7-day retention of a taurine-conjugated bile acid analogue labelled with the gamma-emitter 75selenium. This test provides a quantitative assessment to estimate the severity of BAD, but there is no general agreement regarding its cut-off value and the test is not widely available or even approved for clinical use in many countries outside Europe, including the USA. Furthermore, the SeHCAT test is cumbersome due to its dependence on two visits to the clinic exactly seven days apart, it is expensive, and involves radioactive exposure to the patient. Given the limited availability and the challenges associated with the abovementioned tests, excluding BAD is unfortunately not within current routine investigational algorithms for diarrhoea-predominant IBS, Crohn's disease, or gastrointestinal cancers. In many cases, BAD diagnosis is considered after therapeutic trial using bile acid sequestrants. However, these agents are expensive, often ineffective and/or associated with gastrointestinal side effects in patients with established BAD why their potential as diagnostic tools is limited. Taken together, diagnosing BAD is currently associated with challenges that may preclude relevant treatment of this debilitating condition warranting development of easy and accessible yet safe and effective BAD diagnostics. Recently, the investigators have developed a new BAD diagnostic method based on a single blood sample from the patient. Our approach is based on unbiased, metabolic profiling of serum from BAD patients and carefully matched healthy individuals using comprehensive ultra-high-performance liquid chromatography time-of-flight mass-spectrometry. These comprehensive datasets were subjected to state-of-the-art machine learning and used to build a BAD diagnostic score (BDS) that can distinguish a patient suffering BAD from healthy individuals with high precision (sensitivity of 78% and specificity of 93%). In the present study, the investigators will refine the BDS to distinguish between patients suffering from BAD and patients suffering from other diarrhoeal diseases by using the same methods and data analyses as in the previous project, but in this case applied to serum samples collected from patients referred to diagnostic SeHCAT test, i.e., samples from both test-positive and test-negative patients.
연구 유형
등록 (실제)
연락처 및 위치
연구 장소
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Copenhagen, 덴마크
- Bispebjerg and Frederiksberg Hospital
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Hellerup, 덴마크
- Herlev Gentofte Hospital
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Hillerød, 덴마크
- Hillerød Hospital
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참여기준
자격 기준
공부할 수 있는 나이
건강한 자원 봉사자를 받아들입니다
연구 대상 성별
샘플링 방법
연구 인구
The study population consists of SeHCAT referred patients for suspected bile acid diarrhoea.
설명
Inclusion Criteria:
- SeHCAT referral for suspected bile acid diarrhoea
- Age ≥18 years
Exclusion Criteria:
- Diabetes, except type 2 diabetes
- Nephropathy with estimated glomerular filtration rate <30 min/1.73 m2
- Treatment with medicine that cannot be paused for 12 hours
- Hypothyroidism or hyperthyroidism, if not well regulated
- Active or recent (<6 months since last treatment) malignant disease
- Any treatment or condition requiring acute or subacute medical or surgical intervention
- Any condition considered incompatible with trial participation by the investigators
공부 계획
연구는 어떻게 설계됩니까?
디자인 세부사항
- 관찰 모델: COHORT
- 시간 관점: PROSPECTIVE
코호트 및 개입
그룹/코호트 |
개입 / 치료 |
|---|---|
|
SeHCAT confirmed bile acid diarrhea
Patients referred to a SeHCAT scan due to suspected bile acid diarrhea, who afterwards turned out to be suffering from SeHCAT confirmed bile acid diarrhea |
Blood samples taken with the objective of identifying a diagnostic test |
|
SeHCAT negative patients
Patients referred to a SeHCAT scan due to suspected bile acid diarrhea, who afterwards turned out to be SeHCAT negative |
Blood samples taken with the objective of identifying a diagnostic test |
연구는 무엇을 측정합니까?
주요 결과 측정
결과 측정 |
측정값 설명 |
기간 |
|---|---|---|
|
AUROC curve of the BDS in the validation cohort
기간: 1 year from now
|
AUROC curve of the BDS in the validation cohort |
1 year from now
|
2차 결과 측정
결과 측정 |
기간 |
|---|---|
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BAD의 세 가지 하위 유형 각각을 가진 환자의 BDS의 AUROC 곡선
기간: 지금부터 1년
|
지금부터 1년
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발견 코호트에서 BDS의 AUROC 곡선(8.2 데이터 분석 참조)
기간: 지금부터 1년
|
지금부터 1년
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SeHCAT 테스트 결과와 BAD 증상의 심각도의 상관 관계
기간: 지금부터 1년
|
지금부터 1년
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BDS 테스트 결과와 하루 배변 횟수의 상관 관계
기간: 지금부터 1년
|
지금부터 1년
|
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BAD에 대한 바이오마커: C4 및 FGF19
기간: 지금부터 1년
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지금부터 1년
|
공동 작업자 및 조사자
간행물 및 유용한 링크
연구 기록 날짜
연구 주요 날짜
연구 시작 (실제)
기본 완료 (실제)
연구 완료 (실제)
연구 등록 날짜
최초 제출
QC 기준을 충족하는 최초 제출
처음 게시됨 (실제)
연구 기록 업데이트
마지막 업데이트 게시됨 (실제)
QC 기준을 충족하는 마지막 업데이트 제출
마지막으로 확인됨
추가 정보
이 연구와 관련된 용어
개별 참가자 데이터(IPD) 계획
개별 참가자 데이터(IPD)를 공유할 계획입니까?
약물 및 장치 정보, 연구 문서
미국 FDA 규제 의약품 연구
미국 FDA 규제 기기 제품 연구
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