- ICH GCP
- 미국 임상 시험 레지스트리
- 임상시험 NCT01763567
Feasibility Study to Evaluate Safety and Device Performance of the Hospital Glucose Management System (HGMS) (MAHI)
A Multi-Phased, Multi-Center Study to Evaluate Safety and Device Performance of the Medtronic Hospital Glucose Management System (HGMS) in Critically Ill Adult Patients
연구 개요
상태
정황
상세 설명
Assess safety and device performance of the Medtronic HGMS in the critically-ill setting and analyze the following:
Device Performance:
- Functionality of HGMS
- Alerts/Alarms Specificity and Sensitivity
- System Workflow
Safety:
- Descriptive statistics will be used to characterize safety events
- Moderate and severe anticipated device and procedure related adverse events
- All serious adverse events and unanticipated adverse device effects related events
연구 유형
등록 (실제)
연락처 및 위치
연구 장소
-
-
Missouri
-
Kansas City, Missouri, 미국, 64111
- St Luke's Hospital Mid America Heart Institute
-
-
참여기준
자격 기준
공부할 수 있는 나이
건강한 자원 봉사자를 받아들입니다
연구 대상 성별
샘플링 방법
연구 인구
설명
Inclusion Criteria:
- Subject is at least 18 years old
- Subject is admitted to the ICU
- Subject has a treatment regimen that includes a glucose target range of ≥140 mg/dl
Subject has a treatment regimen that includes an intended continuous intravenous insulin for at least 24 hours
a. Including patients with no previous diagnosis of Diabetes Mellitus
- Subject has anticipated life expectancy greater than 96 hours
- Subject has recent platelet count greater than 30,000 per micro-liter
Exclusion Criteria:
- Subject currently has a suspected or diagnosed medical condition that, in the opinion of the Investigator, warrants exclusion from the study or prevents the subject from completing the study
- Subject is currently participating in another investigational drug or device study
- Subject is pregnant, as determined by hospital admission
- Subject is receiving treatment that includes Hydroxyurea.
공부 계획
연구는 어떻게 설계됩니까?
디자인 세부사항
연구는 무엇을 측정합니까?
주요 결과 측정
결과 측정 |
측정값 설명 |
기간 |
|---|---|---|
|
Device Performance: Accuracy of HGMS
기간: up to 72 hours
|
Mean Absolute Relative Difference (MARD), calculated as the absolute difference of [(sensor glucose values - iSTAT glucose values) / iSTAT glucose values]. The portable i-STAT handheld makes patient-side testing easy:
|
up to 72 hours
|
기타 결과 측정
결과 측정 |
측정값 설명 |
기간 |
|---|---|---|
|
Functionality of HGMS: Alerts and Alarms - % of Hypo Events Correctly Detected
기간: up to 72 hours
|
The device alarmed within 30 minutes before or after the reference blood glucose value (i-STAT) goes below 70 mg/dL setting levels.
The % of hypo events correctly detected was calculated as: total number of correct events divided by total number of events from all 19 participants.
|
up to 72 hours
|
|
Functionality of HGMS: Alerts and Alarms - % of Hyper Events Correctly Detected
기간: 72 hours
|
The device alarmed within 30 minutes before or after the reference blood glucose value (i-STAT) goes above 250 mg/dL setting levels.
The % of hyper events correctly detected was calculated as: total number of correct events divided by total number of events from all 19 participants.
|
72 hours
|
|
Functionality of HGMS: Alerts and Alarms - % of Hypo False Alert
기간: Up to 72 hours
|
Definition of % of hypo false alert: within 30 minutes before or after the sensor alarmed at 70 mg/dL, there is no reference blood glucose value (i-STAT) that goes below 70 mg/dL.
The % of hypo false alert was calculated as: total number of false events divided by total number of events from all 19 participants.
NOTE: % of Hypo False Alert and % Hypo Event Correctly Detected do not necessarily add up to 100% because the denomintors are not the same.
|
Up to 72 hours
|
|
Functionality of HGMS: Alerts and Alarms - % of Hyper False Alert
기간: Up to 72 hours
|
Definition of % of Hyper False Alert: within 30 minutes before or after the sensor alarmed at 250 mg/dL, there is no reference blood glucose value (i-STAT) that goes above 250mg/dL .
The % of hyper false alert was calculated as: total number of false events divided by total number of events from all 19 participants.
NOTE: % of Hyper False Alert and % Hyper Event Correctly Detected do not necessarily add up to 100% because the denomintors are not the same.
|
Up to 72 hours
|
공동 작업자 및 조사자
수사관
- 수석 연구원: Mikhail Kosiborod, M.D, St Luke's Hospital - Mid America Heart Institute
간행물 및 유용한 링크
연구 기록 날짜
연구 주요 날짜
연구 시작
기본 완료 (실제)
연구 완료 (실제)
연구 등록 날짜
최초 제출
QC 기준을 충족하는 최초 제출
처음 게시됨 (추정)
연구 기록 업데이트
마지막 업데이트 게시됨 (추정)
QC 기준을 충족하는 마지막 업데이트 제출
마지막으로 확인됨
추가 정보
이 정보는 변경 없이 clinicaltrials.gov 웹사이트에서 직접 가져온 것입니다. 귀하의 연구 세부 정보를 변경, 제거 또는 업데이트하도록 요청하는 경우 register@clinicaltrials.gov. 문의하십시오. 변경 사항이 clinicaltrials.gov에 구현되는 즉시 저희 웹사이트에도 자동으로 업데이트됩니다. .