ict meets biowin - logic-insulin in biotechnology
TRANSCRIPT
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LOGIC-InsulinBlood glucose control in the intensive care unit
Tom Van Herpe, PhD
+32 (0) 16 340987
Intensive Care Unit
• Hyperglycaemia(independent of diabetes)
• > 4 mio patients/y(USA and Europe)
• Increased mortality risk & complications
• Quality indicator in many countries
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Tight Glucose Control (TGC) in the ICU
• 3 clinical studies in Leuven:
• TGC lowers mortality (surgical ICU: 8.0% � 4.6%)1
• TGC lowers complications (e.g. blood stream infections: -46%)1
• TGC lowers costs (surgical ICU: -2638 € per patient)2
• Expert-nurse-driven TGC
1 Van den Berghe et al. New England Journal of Medicine 20012 Van den Berghe et al. Critical Care Medicine 2006
• Clinical community: sensor + algorithm
• Clinical studies outside Leuven: mixed findings• TGC increases mortality 3
• TGC ‘looks’ unsafe (increase of hypoglycaemia episodes)
3 Finfer et al. New England Journal of Medicine 2009
Blood glucose control in the ICU
Glucose sensor
Glycaemia control system
Patient
Insulin delivery Complex
interplay
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LOGIC-Insulin
Why LOGIC-Insulin?
• ‘Leuven’ nurses into an algorithm
• Modifiable blood glucose target range
• Patent protected algorithm (EU + USA)
• Very user-friendly graphical user interface
• … and clinically validated !
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Clinical validation of LOGIC-Insulin
1. Randomized Controlled Trial 1 (single-centre)
• Patient recruitment from 22 August to 16 December 2011� 300 patients
� Heterogeneous mix (surgical and medical ICU)
• Written informed consent within 24h after admission
• Random allocation:� Nurse-Controlled
� LOGIC-Controlled
• Tight Glycemic Control (TGC): 80–110 mg/dL
• TGC discontinued when:� Start oral intake
� At discharge
� No arterial line
� Switch to palliative care
� Recurrent severe hypoglycemia (< 40 mg/dL)
• Max study duration = 14 days
Clinical validation of LOGIC-Insulin
1. Randomized Controlled Trial 1 (single-centre)• Blood glucose:
� Arterial line
� Blood gas analyser (ABL 700, Radiometer)
• Nutrition:� No change in treatment
• LOGIC-Controlled patient group:
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Clinical validation of LOGIC-Insulin
1. Randomized Controlled Trial 1 (single-centre)
Nurse
controlled
LOGIC-Insulin
controlled
Patients 151 149
Age Mean (std) 62 (14) 65 (15)
GenderMale
Female
93 (62%)
58 (38%)
88 (59%)
61 (41%)
BMI (kg/m2) Mean (std) 25.9 (4.8) 26.5 (5.5)
DiabetesNo
Yes
119 (78.8%)
32 (21.2%)
117 (78.5%)
32 (21.5%)
APACHE II Median (IQR) 24 (10) 23 (10)
Admission type
Post-cardiac surgery - N (%)
Transplantation - N (%)
Medical - N (%)
Other surgery - N (%)
74 (49.0%)
25 (16.6%)
23 (15.2%)
29 (19.2%)
76 (51.0%)
19 (12.8%)
26 (17.4%)
28 (18.8%)
Clinical validation of LOGIC-Insulin
1. Randomized Controlled Trial 1 (single-centre)• 300 patients
• More efficient and safer glucose control than Leuven nurses
• Van Herpe et al. Diabetes Care 2013
LOGIC-ControlledExpert nurses
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Nurse
controlled
LOGIC-Insulin
controlledP-value
Patients 151 149
Study period Median (IQR) 1.9 (1.1-3.7) days 1.9 (1.2-4.7) days P=0.42
Efficacy
Blood glucoseMean (std)
MinMax
107 (11) mg/dL28 mg/dL328 mg/dL
106 (9) mg/dL45 mg/dL
272 mg/dL
P=0.36
Glycemic Penalty Index
[Ideally < 23]Median (IQR) 12.4 (8.2-18.5) 9.8 (6.0-14.5) P<0.0001
Hyperglycemic Index
[Ideally < 10 mg/dl]Median (IQR) 4.2 (1.5-7.4) mg/dL 2.5 (1.2-4.4) mg/dL P=0.0028
Time in Target Mean (std) 60.1 (18.8) % 68.6 (16.7) % P=0.00016
Time to Reach Target Median (IQR) 2.9 (1.0-6.2) h 1.9 (0-3.8) h P=0.0035
Mean of Maximum Delta
Glycemia per day Median (IQR) 37 (27-46) mg/dL 31 (24-45) mg/dL P=0.045
Safety
Hypoglycemia
(patient)
# (%) of patients with at least 1 hypo
< 70 mg/dL< 60 mg/dL< 40 mg/dL
73 (48.3 %)27 (17.9 %)
5 (3.3 %)
48 (32.2 %)21 (14.1 %)
0 (0 %)
P=0.0048P=0.43
P=0.060
Hypoglycemia (samples)
# glycemia < 70 mg/dL# glycemia < 60 mg/dL# glycemia < 40 mg/dL
170 (3.8 %)52 (1.2%) 6 (0.1%)
142 (2.3 %)39 (0.6%)
0 (0%)
P<0.0001P=0.0071P=0.015
Workload
Sampling interval Mean (std) 2.5 (0.5) h 2.2 (0.4) h P<0.0001
Clinical validation of LOGIC-Insulin
1. Randomized Controlled Trial 1 (single-centre)
• 300 patients
• More efficient and safer glucose control than Leuven
nurses
• Van Herpe et al. Diabetes Care 2013
2. Randomized Controlled Trial 2 (multi-centre)
• 1550 patients
� UZ Leuven
� Jessa Hasselt
� AMC Amsterdam
• Ongoing
1. Randomized Controlled Trial 1 (single-centre)
• 300 patients
• More efficient and safer glucose control than Leuven
nurses
• Van Herpe et al. Diabetes Care 2013
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First impressions RCT 2
• Design of new CE-proof graphical user interface� Stable, clear and easy-to-use
� Risk management analysis
� Test procedures
• Easy and remote installation� Server-based
� Cloud-based
• Easy implementation� > 500 nurses trained
� Nurses’ satisfaction high
• Flexible blood glucose targets� UZ Leuven – target blood glucose 80-110 mg/dL
� Jessa Hasselt – target blood glucose 80-110 mg/dL
� AMC Amsterdam – target blood glucose 90-145 mg/dL
• Feb 24, 2014 – ongoing� No safety issues
� No stability issues
• Results: � Q1 2015
• Tight blood glucose control saves lives and reduces costs…
…but difficult implementation in clinical practice
Conclusion
• Therefore, we developed LOGIC-Insulin: – Medical software that assists the ICU nurse in this complex
process
– Strong clinical validation
– RCT 1:• 300 critically ill patients
• More efficient and safer glucose control than ‘gold standard’ nurses
– RCT 2:• 1550 critically ill patients
• Ongoing
• Ongoing process of CE-marking this medical device
• LOGIC-Insulin will be available soon!
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• ICU - Nursing staff
• Team LOGIC-Insulin• Dieter Mesotten, MD, PhD
• Guy Veraghtert, MSc
• Pieter Wouters, MSc
• Jan Vermeyen, RN
• Sylvia Van Hulle, RN
• Alexandra Hendrickx, RN
• Jeroen Herbots, MD
• Evy Voets, MD
• Jo Buyens, MD
• Bart De Moor, PhD
• Greet Van den Berghe, MD, PhD
Acknowledgements
Thank you