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"/>

Dexcom G5 Mobile 연속 당측정기(CGM) 시스템 알아보기

CGM(연속 당 측정기)을 사용하면 미터로는 알 수 없는 사항을 알 수 있습니다. 미터는 단일 시점에 대한 수치를 제공하지만 CGM(연속 당 측정기)은 현재 당 상태, 추세 및 도달 속도를 표시하여 동적으로 당 정보를 제공합니다. 심지어 Dexcom G5 Mobile을 사용하면 매일의 당 관리 결정을 위해 확인용 손가락 채혈을 하지 않아도 됩니다.

 

당 경고와 수치가 증상이나 예상과 맞지 않는 경우 또는 파라세타몰/아세트아미노펜이 함유된 약물을 복용하는 경우에는 손가락 채혈을 통해 당 레벨을 확인해야 합니다. 캘리브레이션을 위해서 매 12시간마다 손가락 채혈이 필요합니다.

Dexcom G5 Mobile CGM 시스템 만나보기

1. 피부 바로 아래에서 당 레벨을 측정하는 소형 센서.

 

2. 센서 상단에 고정되어 무선으로 호환 가능한 스마트 장치 또는 수신기로

데이터를 송신하는 트랜스미터.

 

3. Dexcom G5 Mobile 앱과 호환 가능한 스마트 장치 트렌드를 선명한 색상으로 확인하여 당의 높고 낮음 또는 당이 범위 이내에 속하는지 여부를 알 수 있습니다.

Dexcom의 새로운 모바일 CGM 시스템으로 이동 중에도 당 모니터링

Dexcom G5 Mobile은 성인 및 2세 이상 아동용으로 승인된 실시간 연속 당 측정기(CGM) 시스템입니다. 트랜스미터에 내장된 Bluetooth 기술을 사용한 Dexcom G5 Mobile은 당 레벨, 트렌드 및 데이터를 호환 가능한 스마트 장치에서 완전히 원격으로 확인할 수 있게 해줍니다.

저당 및 고당 경고 수신

Dexcom G5 Mobile CGM 시스템을 사용하면 당이 너무 높아지거나 너무 낮아지는 경우 호환 스마트 장치로 직접 경고를 받을 수 있습니다. 경고와 알람 소리가 텍스트 메시지로 표시되도록 사용자가 지정하여 사생활을 보호하고 좀 더 자유롭게 사용할 수 있습니다.

 

높음 및 낮음 경고의 예시는 아래에서 확인하세요:

활동 추적

이제 호환 가능한 스마트 장치에서 당 레벨에 영향을 주는 이벤트를 추적할 수 있습니다. Dexcom G5 Mobile CGM 시스템은 사용자 지정 이벤트를 입력할 수 있는 플랫폼을 제공하여 일상적인 활동이 당 트렌드에 어떻게 영향을 주는 지 추적할 수 있습니다.

Dexcom Share 로 CGM(연속 당 측정기) 데이터 공유

Dexcom G5 Mobile CGM 시스템을 사용하면 모든 호환 가능한 스마트 장치에서 가장 가까운 사람들과 실시간으로 연결할 수 있습니다.

다음의 3 단계를 따라 간단히 시작하세요:

    1. G5 Mobile 앱에서 Dexcom Share 기능을 활성화하세요
    2. 여러분을 팔로우할 수 있도록 최대 5명을 초대하세요
    3. 팔로어는 Dexcom Follow 앱을 다운로드하여 설치하고 인터넷에 연결되어 있기만 하면 됩니다

 

이제 호환 가능한 스마트 장치에서 당 레벨에 영향을 미치는 이벤트를 계속 추적할 수 있습니다. Dexcom G5 Mobile CGM 시스템은 개인화된 이벤트를 입력할 수 있는 플랫폼을 제공하고 일일 활동이 당 트렌드에 어떻게 영향을 미치는지 사용자가 추적할 수 있도록 합니다.

 

정확도 및 감지 성능

Dexcom은 당 감지에 관한 표준을 만듭니다. CGM(연속 당 측정기)이 뛰어난 정확도와 독보적인 감지 성능으로 여러분께 신뢰를 드립니다. Dexcom G5 Mobile CGM 시스템을 통해 매력적일 뿐 아니라 일관성있고 정확한 결과를 도출하는 CGM(연속 당 측정기)을 사용할 수 있습니다1,2.

 

낮을수록 우수

성인1*성능 메트릭스소아청소년2*
9% 종합적인 정확도
평균 ARD% (MARD), 40-400 mg/dL (2.22-22.22 mmol/L)
(모든 당 레벨에서 기준 대비 평균 절대 오차 %)
10%
7% 센서 간 차이
변동 계수 퍼센트, CV
(각 센서 간에 일관된 성능)
7%
1일차: 11%
4일차: 8%
7일차: 9%
시간 흐름에 따른 정확도
평균 ARD% (MARD), 40-400 mg/dL (2.22-22.22 mmol/L)
(시간 흐름에 따른 일관된 센서 성능) 일일 캘리브레이션 평균 2X/일
1일차: 13%
4일차: 8%
7일차: 10%

 

높을수록 우수

성인1*성능 메트릭스소아청소년2*
92%
[99.5%]
임상적 정확도 클라크 오류 그리드(CEG) A 구역에 속한 수치의 %
[CEG A+B구역의 %]
90%
[98.5%]
98% 센서 수명
7일까지 사용 지속된 센서의 %
94%

*참조: YSI(Yellow Springs Laboratory Instrument)

연락 정보

 

수입업자

(주)사이넥스

06223 서울시 강남구 논현로 430 10층(역삼동, 아세아타워)

 

판매업자

(주)휴온스
13486 경기도 성남시 분당구 판교로 253 C동 902호
+82-080-890-5600
http://www.cgms.co.kr

다운로드 및 가이드

 

Dexcom G5 Mobile CGM 시스템

Dexcom G5 Mobile 시작하기 가이드

Dexcom Share/Follow 사용자 가이드

References :

 

1. Bailey, Chang, Christiansen Clinical Accuracy of a Continuous Glucose Monitoring System with an Advanced Algorithm J Diabetes Sc Tech 2015 Vol 9(2) 209-214

2. Laffel Improved Accuracy of Continuous Glucose Monitoring Systems in Pediatric Patients with Diabetes Mellitus - Results from Two Studies Diabetes Technology & Therapeutics Volume 18, Supplement 2, 2016

3. Click here for a list of compatible smart devices.