Exhibit info
Visit our Showroom, where you find more information on integrated Personalised Diabetes Management. Feel free to contact us for more information and visit our website.
Location
CityCube Berlin
Messedamm 26
14055 Berlin, Germany
and online
Exhibition
Opening hours
Wednesday, February 22: 18:30 - end of Networking Reception
Thursday, February 23: 9:30 - 15:30
Friday, February 24: 9:30 - 15:30
Saturday, February 25: 10:00 - 14:00
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Publications
Automated Bolus Advisor
Use of an Automated Bolus Calculator in MDI-Treated Type 1 Diabetes - The BolusCal Study, a randomized controlled pilot study
(Schmidt et al. Diabetes Care, 2012 May;35(5):984-90.)
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Use of an Insulin Bolus Advisor Improves Glycemic Control in Multiple Daily Insulin Injection (MDI) Therapy Patients With Suboptimal Glycemic Control: First results from the ABACUS trial
(Ziegler et al. Diabetes Care. 2013 Nov; 36(11):3613-9.)
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SMBG – System Performance
System Accuracy Evaluation of 43 Blood Glucose Monitoring Systems for Self-Monitoring of Blood Glucose According to DIN EN ISO 15197
(Freckmann et al. J Diabetes Sci Technol. 2012 Sep 1;6(5):1060-75.)
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System accuracy evaluation of 18 CE marked current generation blood glucose monitoring systems based on EN ISO 15197:2015
(Pleus et al. BMJ Open Diabetes Res Care. 2020, 8(1): e001067)
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Structured Testing and Pattern Analysis
Use of a Novel, Remotely Connected Diabetes Management System Is Associated with Increased Treatment Satisfaction, Reduced Diabetes Distress, and Improved Glycemic Control in Individuals with Insulin-Treated Diabetes: First Results from the Personal Diabetes Management Study
(Mora et al. Diabetes Technol Ther. 2017 Dec 1;19(12):715-22.)
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Evaluation of a new digital automated glycemic pattern detection tool
(Comellas et al. Diabetes Techno Ther. 2017 Nov 1;19(11):633-40)
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Use of Diabetes Data Management Software Reports by Health Care Providers, Patients With Diabetes, and Caregivers Improves Accuracy and Efficiency of Data Analysis and Interpretation Compared With Traditional Logbook Data: First Results of the Accu-Chek Connect Reports Utility and Efficiency Study (ACCRUES)
(Hinnen et al. J Diabetes Sci Technol. 2015 Mar:9(2):293-301.)
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What Do We Need beyond Hemoglobin A1c to Get the Complete Picture of glycemia in people with diabetes?
(Hinzmann et al. Int. J Med Sci. 2012;9(8):665-81.)
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CGM
A Prospective Multicenter Evaluation of the Accuracy of a Novel Implanted Continuous Glucose Sensor: PRECISE II
(Christiansen et al. Diabetes Technol. Ther. 2018 Jan 30 (Epub))
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Accuracy and Longevity of an Implantable Continuous Glucose Sensor in the PRECISE Study: A 180-Day, Prospective, Multicenter, Pivotal Trial
(Kropff et al. Diabetes Care 2017 Jan:40(1):63-68.)
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Benefits and Limitations of MARD as a Performance Parameter for Continuous Glucose Monitoring in the Interstitial Space
(Heinemann et al. J Diabetes Sci Technol. 2019 Jun (Epub))
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Utilizing the Ambulatory Glucose Profile to Standardize and Implement Continuous Glucose Monitoring in Clinical Practice
(Johnson et al. J Diabetes Sci Technol. 2019 Jun:21(S2):S217-5225.)
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Benefits and Limitations of MARD as a Performance Parameter for Continuous Glucose Monitoring in the Interstitial Space
(Heinemann et al. J Diabetes Sci Technol. 2020 Jan;14(1):135–150.)
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Intermittent Use of Continuous Glucose Monitoring: Expanding the Clinical Value of CGM
(Ziegler et al. J Diabetes Sci Technol. 2021 May;15(3):684-694.)
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Standardization process of continuous glucose monitoring: Traceability and performance
(Freckmann et al. Clin. Chim. Acta. 2021 Apr;515:5-12.)
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CSII
Boluses in insulin therapy: A Commentary
(Ziegler et al. J Diabetes Technol. 2017;11(1):165-71.)
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Insulin pump therapy, multiple daily injections, and cardiovascular mortality in 18 168 people with type 1 diabetes: observational study
(Steineck et al. BMJ 2015; 350: h3234.)
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Open Source Closed-Loop Insulin Delivery Systems: A Clash of Cultures or Merging of Diverse Approaches?
(Barnard et al. J Diabetes Sci Technol. 2018 Nov;12(6):1223-1226)
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Patch Pumps: Are They All the Same?
(Heinemann et al. J Diabetes Sci Technol. 2019 Jan:13(1):34-40.)
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Establishing Methods to Determine Clinically Relevant Bolus and Basal Rate Delivery Accuracy of Insulin Pumps
(Kamecke et al. J Diabetes Sci Technol. 2018; ePub)
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Occlusion Detection Time in Insulin Pumps at Two Different Basal Rates
(Freckmann et al. J Diabetes Sci Technol. 2018;12(3):608-613)
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Continuous subcutaneous insulin infusion: Special needs for children
(Adolfsson et al. Pediatr. Diabetes 2017 Jan;18(4):225-261.)
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Using insulin pump with a remote-control system in young patients with diabetes improves glycemic control and enhances patient satisfaction
(Deeb et al. Clin. Diabetes Endocrinol. 2019 Jun 6;5:7.)
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Accuracy of Bolus and Basal Rate Delivery of Different Insulin Pump Systems
(Freckmann et al. Diabetes Technol. Ther. 2019 Apr;21(4):201-208)
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Comparative Handling Analysis of Different Insulin Pump Systems
(Waldenmaier et al. J Diabetes Sci Technol. 2018 Mar;12(2):401-406)
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Concept and Implementation of a Novel Patch Pump for Insulin Delivery
(Ulbrich et al. J Diabetes Sci Technol. 2019 Aug (Epub))
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Concept and Implementation of a Novel Patch Pump for Insulin Delivery
(Ulbrich et al. J Diabetes Sci Technol. 2020 Mar;14(2):324-327.)
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Analysis of the Waste Volume and CO 2-Equivalent Caused by the Use of Selected Patch Pumps
(Winkelkötter et al. J Diabetes Sci Technol. 2021 (Epub))
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Insulin Pump Therapy for Patients With Type 2 Diabetes Mellitus: Evidence, Current Barriers, and New Technologies
(Freckmann et al. J Diabetes Sci Technol. 2020 (Epub))
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Accuracy assessment of bolus and basal rate delivery of different insulin pump systems used in insulin pump therapy of children and adolescents
(Ziegler et al. Pediatr. Diabetes. 2020 Jun;21(4):649-656.)
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Evaluation of the Accuracy of Current Tubeless Pumps for Continuous Subcutaneous Insulin Infusion
(Ziegler et al. Diabetes Technol. Ther. 2021 May;23(5):350-357.)
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Digital Solutions
Utilizing eHealth and Telemedicine Technologies to Enhance Access and Quality
(Barnard et al. J Diabetes Sci Technol. 2017 Jul;11(4):814-821.)
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A Digital-First Model of Diabetes Care
(Cafazzo et al. J Diabetes Sci Technol. 2017 Jul;11(4):814-821))
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Real-World Assessments of mySugr Mobile Health App
(Debong et al. J Diabetes Sci Technol. 2017 Jul;11(4):814-821)
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Use of Artificial Intelligence to Improve Diabetes Outcomes in Patients Using Multiple Daily Injections Therapy
(Forlenza et al. J Diabetes Sci Technol. 2017 Jul;11(4):814-821)
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The Emerging Role of Telemedicine and Mobile Health Technologies in Improving Diabetes Care
(Garg et al. J Diabetes Sci Technol. 2017 Jul;11(4):814-821)
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Current Status and Future Directions for Electronic Point-of-Care Clinical Decision Support to Improve Diabetes Management in Primary Care
(O'Connor et al. J Diabetes Sci Technol. 2017 Jul;11(4):814-821.)
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Use of Telemedicine Technologies in Diabetes Prevention and Control in Resource-Constrained Settings - Lessons Learned from Emerging Economies
(Pradeepa et al. J Diabetes Sci Technol. 2017 Jul;11(4):814-821)
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Virtual Coaching to Enhance Diabetes Care
(Ramchandani et al. J Diabetes Sci Technol. 2017 Jul;11(4):814-821.)
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Integrated Personalised Diabetes Management
Benefit of Digital Tools Used for Intergrated Personalized Diabetes Management: Results From the PDM-ProValue Study Program
(Heinemann et al. J Diabetes Sci Technol. 2019 Aug (Epub))
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Patient-centred care in type 2 diabetes mellitus - key aspects of PDM-ProValue are reflected in the 2018 ADA/EASD consensus report
(Fritzen et al. Diabetes Res. Clin. Pract. 2019 Dec (Epub))
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Intergrated personalized diabetes management improves glycemic control in patients with insulin-treated type 2 diabetes: Results of the PDM-ProValue study program
(Kulzer et al. Diab. Res. Clin. Pract. 2018 Oct;144:200-2012)
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Intergrated Personalized Diabetes Management (PDM): Design of the ProValues Studies: Prospective, Cluster-Randomized, Controlled, Intervention Trials for Evaluation of the Effectiveness and Benefit of PDM in Patients With Insulin-Treated Type 2 Diabetes.
(Kulzer et al. J Diabetes Sci Technol. 2016 May;10(3):722-781.)
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PDM-ProValue meets cardiovascular outcome trials in diabetes
(Fritzen et al. Cardiovasc. Diabetol. 2019 Jan 28;18(1):10)
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Chronic Kidney Disease
Predicting the early risk of chronic kidney disease in patients with diabetes using real-world data
(Ravizza et al. Nat Med. 2019 Jan:25(1):57-59.)
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Other
Modeling of Diabetes and Its Clinical Impact
(Fritzen et al. Diabetes Sci Technol. 2018 Sep;12(5):976-984.)
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Diabetes management intervention studies: lessons learned from two studies
(Petersen et al. Trials, 2021 Jan 18;22(1):61.)
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CIPII
Continuous intraperitoneal insulin infusion: an alternative route for insulin delivery in type 1 diabetes
(Pasquini et al. Acta Diabetol. 2019 Aug 9.)
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A New Optimized Percutaneous Access System for CIPII
(Garcia-Verdugo et al. J Diabetes Sci Technol. 2019 Jul;11(4):814-821)
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Intraperitoneal insulin delivery provides superior glycaemic regulation to subcutaneous insulin delivery in model predictive control-based fully-automated artificial pancreas in patients with type 1 diabetes: a pilot study
(Dassau et al. Diabetes Obs. Metab. 2017 Dec;19(12):1698-1705.)
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New Design of a Percutaneous Port System for Continuous Intraperitoneal Insulin Infusion
(Rieger et al. J Diabetes Sci Technol. 2019 Jun (Epub))
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Automated Insulin Delivery
Overnight closed-loop control improves glycemic control in a multicenter study of adults with type 1 diabetes
(Brown et al. Clin. Endocrinol. Metab. 2017 Oct 1;102(10):3674-3682.)
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Twelve-week 24/7 Ambulatory Artificial Pancreas With Weekly Adaptation of Insulin Delivery Settings: Effect on Hemoglobin a1c and Hypoglycemia
(Dassau et al. Diabetes Care 2018 Dec;40(12):1719-1726.)
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Closed-Loop Control During Intense Prolonged Outdoor Exercise in Adolescents With Type 1 Diabetes: The Artificial Pancreas Ski Study
(Breton et al. Diabetes Care 2017 Dec;40(12):1644-1650.)
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Closed-Loop Control Without Meal Announcement in Type 1 Diabetes
(Cameron et al. Diabetes Technol. Ther. 2017 Sep;19(9):527-532.)
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Artificial Pancreas: Clinical Study in Latin America Without Premeal Insulin Boluses
(Sanchez-Pena et al. J Diabetes Sci Technol. 2018 Sep;12(5):914-925.)
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Day-and-Night Closed-Loop Control Using the Unified Safety System in Adolescents With Type 1 Diabetes at Camp.
(Ly et al. Diabetes Care 2016 Aug;39(8):e 106-7.)
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Outpatient Closed-Loop Control With Unannounced Moderate Exercise in Adolescents Using Zone Model Predictive Control
(Huyett et al. Diabetes Technol. Ther. 2017 Jun;19(6):331-339.)
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Randomized Controlled Trial of Mobile Closed-Loop Control
(Kovatchev et al. Diabetes Care 2020 Mar;43(3):607-615.)
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Brochures - Our Solutions
Highlights
Accu-Chek Insight Loop Mode
- Intelligent: DBLG1 algorithm analyses data in real time and is a self-learning algorithm, meaning it adapts to every individual.
- Control everything with one device: Insulin and CGM values
- Pre-filled NovoRapid insulin cartridge: No need to fill it by hand
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RocheDiabetes Care Platform
- All-in-one platform which enables integrated Personalised Diabetes Management (iPDM)
- Seamless connection with 150+ diabetes management devices and mySugr patient app, encouraging diabetes self-management
- Actionable insights for more efficient consultations
- Now with Customer Population Insights Dashboard, providing population analytics for HCPs, Admins, and Payers
- Patient tracking and therapy adjustment for personalised care
- Under constant evolution to support you now and in the future
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RocheDiabetes RemoteCare
- Visualisation of all your patients at a glance to easily understand their status and prioritise them according to their needs
- Quick and comprehensive picture of how patients are doing between visits, enabling remote interventions for continuous care
- Two-way dialogue between HCPs and patients to enable proactive, flexible, and efficient care even at a distance
- Recordings of observations and time spent providing remote care for potential reimbursement
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mySugr Pump Control
- All data in one place: Patients can manage their CGM, BGM and pump data in just one app*.
- Discretion: Send a bolus via the mySugr app discreetly anywhere, anytime.
- Open bolus advisor: Directly accessible via the mySugr app
- Freedom of choice: Choose from two pre-filled cartridges - Fiasp or NovoRapid.
*For all mySugr supported devices
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Accu-Chek Solo
- First detachable and tube-free insulin pump
- Unique quick bolus buttons on pump
- Diabetes Manager with open bolus advice to combine therapy with continuous glucose monitoring solutions
- Connected to the RocheDiabetes Care Platform, allowing the combined visualisation of insulin and blood glucose data to detect therapy patterns and improve outcomes
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Smart Pen Integration in mySugr Logbook
- All-in-one: Manage glucose levels, insulin, and carb data in just one app.
- Easy: Automated logging of insulin time and dose together with glucose values
- Multiple pen pairing: Option to connect up to 8 pens
- Intuitive visualisation: Valuable insights on patterns and therapy effectiveness
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More solution brochures
mySugr app
- More than 4 million registered users
- Automated data integration of leading BG meters (e.g. Accu-Chek Guide), CGM and activity data from cloud-based integrations Apple health (Dexcom G5/G6) and Google Fit (steps)
- mySugr PRO includes bolus calculator.
- Comprehensive reports to share from the mySugr app with HCPs
- New integrations:
- RocheDiabetes Care Platform: Integration of BG values, carb information, CGM, and insulin data into RDCP
- Smart insulin pen integration: Integration of insulin data from the NovoPen 6 and NovoPen Echo Plus into the mySugr Logbook
- mySugr Pump Control: Accu-Chek Insight is the first insulin pump to be controlled and viewed via the mySugr app.
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Accu-Chek Smart Pix
- Open version allows for read-out of devices from Roche and other manufacturers
- All data seamlessly available in one system
- Easy and fast conclusions and therapy adaptations possible
- Easily understandable visualisation of different diabetes-relevant data
Accu-Chek Insight Classic
- Easy and intuitive: Pre-filled insulin cartridges - no need to fill by hand.
- Convenient: Sleek and modern design makes it more comfortable to wear.
- Safe and reliable: Very low basal rate to suit individual insulin needs, pause mode ensures missed insulin is delivered and various bolus options available
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Accu-Chek Guide
- Spill-resistant SmartPack vial: easy to take out one strip at a time
- Simple to see, day or night: bright port light and backlit display
- Wide dosing area: simply touch any part of the yellow edge to your blood drop.
- Connects to mySugr app and RocheDiabetes Care Platform to enable integrated Personalised Diabetes Management (iPDM).
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Accu-Chek Guide Me
- Large, easy-to-read display
- Simple two-button navigation
- Fast, easy-to-fill strip with results in less than 4 seconds
- Wireless connectivity to the mySugr app
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Accu-Chek Instant
- Instant understanding: the target range indicator provides an instant view to see if your result is high, low, or in range.
- Easy to read: clearly see results on the large backlit display.
- Easy testing: apply blood on the edge of the wide application area.
- Connects to mySugr app and RocheDiabetes Care Platform to enable integrated Personalised Diabetes Management (iPDM).
View brochure
Visit us
Visit our Roche Diabetes Care Showroom and find more information on integrated Personalised Diabetes Management. Feel free to contact us and visit our website.