SlideShare a Scribd company logo
1 of 34
Risk of Hypoglycemia Associated with
Different Insulin Delivery Systems in
Type I Diabetes Mellitus:
A Meta-analysis
Eman Biltaji,1,2 Kaitlin Kuo, 1,2 Mukul Singhal,1,2
Carrie McAdam Marx, 1,2 Joanne LaFleur, 1,2,3
Gregory Stoddard4
1. Department of Pharmacotherapy, University of Utah
2. Pharmacotherapy Outcome Research Centre (PORC), University of Utah
3. VA Salt Lake City Health Care Systems, Salt Lake City, Utah, USA.
4. Orthopedic Surgery Operations, University of Utah
DM Type I Statistics: USA
• Incidence:
– More than 15,000 child and 15,000
adult/year
– Approximately 80 people/day
• Prevalence:
– Around 3 million
– Between 2001 and 2009, increase in
prevalence in people under age 20 is 23%
Source: JFDR. Diabetes type 1 facts. Available at: https://jdrf.org/about-jdrf/fact-sheets/type-1-
diabetes-facts/
DM type 1 Management
• Management • Problems
– Complex treatment
algorithms
– Different insulin
• Types
• Combinations
• Delivery systems
– Frequent Monitoring
– Side effects
Source: American Society of Clinical Endocrinologists.
https://www.aace.com/
Prognosis
• Most DM type 1 patients do NOT achieve their
glycemic targets despite the advances in insulin
analogues and delivery systems.2
Sources
1. Nathan et al. N Engl J Med 2005
2. The Diabetes Control and Complications Trial Research Group. JAMA 2003
↑ Glycemic
Control
↓ Microvascular
& Macrovascular
Complications1
Why?
Treatment Side Effects
Source: Cryer. Diabetologia 2002
Hypoglycemia
• Choudhary (Diabet Med 2010)
– Patient reported non-severe hypoglycemia:
• 2.7 episodes/patient/week
• Commonly during the night
• Juvenile Diabetes Research Foundation (Diabetes Care
2010)
– Nocturnal hypoglycemia duration:
• ≥ 1 hour → 47%
• ≥ 2 hours → 23%
• ≥ 3 hours → 11%
Improving glycemic control…
Insulin
Delivery
System
Open Loop
MDI
CSII Alone
CSII + SMBG
Closed Loop
CSII +
automatic
monitoring
Dual Hormone
Sources: Farmer et al. The Journal of pharmacy and pharmacology. 2008
Thabit et al. Endocrinology and metabolism clinics of North America. 2012
CSII: Continuous subcutaneous insulin infusion, MDI: Multiple Dose Injection, SMBG: Self monitoring blood glucose,
Closed-loop Insulin Delivery System
Image Source: Mayo Clinic. Available at http://www.mayo.edu/research/labs/artificial-
pancreas/overview
Benefits
Open loop
• More patient control
• With CGM, provides
real time information
on glucose values
and trends
Closed loop
• Improve glycemic
control
• More convenient
– No need for human
interaction
– Less frequent
monitoring
– Improve QoL
• Avoid hypoglycemia ?
Source: Thabit et al. Endocrinology and metabolism clinics of North
America. 2012
Risks
Open loop
• Not enough control
• Needs CGM
– Compliance to wear
device
• Hypoglycemia
– Nocturnal
• Patient education
Closed loop
• Insulin accumulation
• Inappropriate
algorithms
• Individual variability
• Reliability and
accuracy of
monitoring
Source: Thabit et al. Endocrinology and metabolism clinics of North
America. 2012
Objective
• To assess the risk of hypoglycemia
associated with closed-loop insulin
delivery system compared to open-loop
insulin delivery system among type 1
diabetic patients
Methods
Databases Used
• Comprehensive search of bibliographic
databases including
‒ PubMed
‒ Cochrane
‒ DynaMed
‒ Scopus
‒ CINAHL
‒ Clinicaltrials.gov
‒ Conferences
(ADA)
Search Terms
(Closed loop insulin) OR (Artificial pancreas)
AND
Diabetes
AND
(Trial OR Trials) AND Clinical
OR ((Random or randomly or randomized) AND
(Trial OR Trials))
OR “clinical trial” OR “clinical trials” OR “controlled
clinical trial” OR “controlled clinical trials”
Included Studies
• Inclusion
– Clinical trial
– Diabetes (type I)
– Closed loop
– Open loop (as
comparison)
– English
• Excluded
– If older than 2005
Statistical Analysis
• Odds ratio as effect estimate
• Forrest plot → Pooled estimate
• Funnel plot → Publication bias
• L’Abbe plot → Effect of study size on
outcome
• Sub group analysis/ Sensitivity analysis
• Meta regression → Effect of baseline
independent variables
• Software: Stata 12 IC/ Stata 13 IC
Sub group Analysis
• Adults vs. children
• Study duration (<1 months vs. >1 months)
• Hypoglycemia definition (<3.9 mmol/dL vs.
<3.5mmol/dL)
• Type of hypoglycemia
Results
Figure 1. Study Selection Flowchart
Initial Search
(n=511)
Final Cohort (n=8)
Abstracts
Reviewed (n=244)
Full Article
Reviewed (n=29)
Studies before 2005 (n=150)
Duplicative Studies (n=117)
Not Matching inclusion
criteria (n=192)
Contacting Authors (n=23)
Not reporting outcome of
interest (n=21)
Table 1. Study characteristics of the included studies
Study, Year Design
Study
Duration
Mean
HbA1c
(%)
Mean
DM
(years)
Mean
Age
(years)
Mean
CSII
(years)
Breton et al, 2012 (sCTR)
Multicentere Randomized
crossover 22 hours 7.9 16.9 29.3 8.1
Breton et al, 2012 (eCTR)
Multicentere Randomized
crossover 22 hours 7.5 21.7 38 3.1
Nimri et al, 2013
Multicentere Randomized
crossover 24 hours 8.1 13.5 23.8 5.5
Dauber et al, 2013 RCT crossover 28 hours 8.1 2.1 5.1 .
Haidar et al, 2013 RCT crossover (open-label) 30 hours 7.9 26.5 47.1 0.25
Bruttomesso et al, 2009 crossover 44 hours 7.4 20.5 42 .
Elleri et al, 2013 RCT crossover (open-label) 72 hours 7.9 5.7 15 .
Phillip et al, 2013
Multicentere Randomized
crossover 72 hours 8 7 13.8 4.8
Bergenstal et al, 2013 Multicenter RCT Parallel 3 month 7.2 26.9 43.2 0.5
DM: Diabetes Mellitus, CSII: Continuous subcutaneous insulin infusion, RCT: randomized controlled trials, , Sev: Severe, US:
United States
Table 2. Number of events of the included studies
Study, Year
Participants
(CL/OL) CL/ OL Type
Hypoglycemia
definition
CL/OL Pt at
least one
event
Breton et al, 2012
(sCTR) 25 (25/25) CSII+CGM+Algo/CSII+CGM < 3.9mmol/dL 11/17
Breton et al, 2012
(eCTR) 12 (12/12) CSII+CGM+Algo/CSII+CGM < 3.9mmol/dL 8/9
Nimri et al, 2013 12 (12/12) CSII+CGM+Algo/CSII+CGM <3.5mmol/l 1/2
Dauber et al, 2013 10 (10/10) CSII+CGM+Algo/CSII+CGM < 3.9mmol/dL 5/2
Haidar et al, 2013 15 (15/15)
Dual hormone/
CSII+CGM <3 mmol/l 1/8
Bruttomesso et al,
2009 6 (6/6) CSII+CGM+Algo/CSII+CGM < 3.9mmol/dL 3/2
Elleri et al, 2013 12 (12/12) CSII+CGM+Algo/CSII+CGM < 3.9mmol/dL 11/8
Phillip et al, 2013 54 (54/54) CSII+CGM+Algo/CSII+CGM
requiring
assistance 0/0
Bergenstal et al,
2013 247 (121/126) CSII+CGM+Algo/CSII+CGM
requiring
assistance 0/4
Algo: Algorithm, CGM: Continuous glucose monitoring, CSII: Continuous subcutaneous insulin infusion, CL: Closed-loop, Noct:
Nocturnal, OL: Open-loop, Sev: Severe
Table 3. Number of events By Hypoglycemia Type
Study, Year
CL/OL Pt at
least one event Noct CL/OL
Day
CL/OL
Post exe
CL/OL
Post prand
CL/OL
Sev
CL/OL
Breton et al, 2012
(sCTR) 11/17 10/15 . 5/8 1/7 .
Breton et al, 2012
(eCTR) 8/9 7/6 . 4/1 2/1 .
Nimri et al, 2013 1/2 0/0 . . 1/1 .
Dauber et al, 2013 5/2 5/2 0/0 . . .
Haidar et al, 2013 1/8 0/5 . 1/2 . .
Bruttomesso et al,
2009 3/2 3/2 2/0 . . .
Elleri et al, 2013 11/8 7/7 11/6 . . .
Phillip et al, 2013 0/0 . . . . 0/0
Bergenstal et al, 2013 0/4 . . . . 0/4
Algo: Algorithm, CGM: Continuous glucose monitoring, CSII: Continuous subcutaneous insulin infusion, CL: Closed-loop, Noct:
Nocturnal, OL: Open-loop, Sev: Severe
Figure 1. Forrest Plot of included studies
Figure 2. Forrest Plot without dual hormone study
Figure 3. Funnel plot
Figure 4. L’Abbe plot depicting the result of studies
Figure 5. Subtype of hypoglycemia: Daytime (p=0.02)
Figure 6. Meta regression- Baseline
DM duration
Coefficient; 95%CI =-0.144; -0.257, -0.032 (P=0.018)
Major Findings
• Among algorithm-based closed-loop insulin delivery system
users, there is not a statistically significant decrease in the
risk of hypoglycemia even after subgroup analysis.
• There is a statistically significant hypoglycemia risk
reduction among dual-hormone based closed-loop system,
according to the results of a single trial.
• Patients using closed-loop system have significantly more
hypoglycemic events during daytime. (p=0.02)
• Diabetes duration will affect the risk of hypoglycemia in
closed-loop system users; the longer the duration, the less
the events are. (p=0.018)
Limitations
• Many studies had small sample size.
• Many studies had short follow-up time.
• Hypoglycemia events were not always
reported.
• Hypoglycemia definition variation
• Only including binary outcomes.
• Language bias.
Conclusion
• Currently, there is no statistically significant
difference in hypoglycemia risk among type I
DM patients on closed loop insulin delivery
compared to open loop.
Future Research
• Larger Studies are needed
• Longer duration studies are needed
• Develop better algorithms
Acknowledgements
• Dr. Jaewhan Kim
• Dr. Osama Shoair
Questions and Comments

More Related Content

What's hot

Mathematical Model for Drug Therapy in Patients With Diabetes Mellitus
Mathematical Model for Drug Therapy in Patients With Diabetes MellitusMathematical Model for Drug Therapy in Patients With Diabetes Mellitus
Mathematical Model for Drug Therapy in Patients With Diabetes MellitusIJESM JOURNAL
 
El Tratamiento de bacteriuria asintomatica se asocia con alta prevalencia de ...
El Tratamiento de bacteriuria asintomatica se asocia con alta prevalencia de ...El Tratamiento de bacteriuria asintomatica se asocia con alta prevalencia de ...
El Tratamiento de bacteriuria asintomatica se asocia con alta prevalencia de ...Alex Castañeda-Sabogal
 
CONTROL OF BLOOD GLUCOSE IN DIABETIC PATIENTS
CONTROL OF BLOOD GLUCOSE IN DIABETIC PATIENTSCONTROL OF BLOOD GLUCOSE IN DIABETIC PATIENTS
CONTROL OF BLOOD GLUCOSE IN DIABETIC PATIENTSVictoria Onifade
 
Buchan he rc_uk_launch
Buchan he rc_uk_launchBuchan he rc_uk_launch
Buchan he rc_uk_launchIain Buchan
 
Brennan_et_al-2016-American_Journal_of_Transplantation_2016
Brennan_et_al-2016-American_Journal_of_Transplantation_2016Brennan_et_al-2016-American_Journal_of_Transplantation_2016
Brennan_et_al-2016-American_Journal_of_Transplantation_2016Peter Bianchine
 
obesidad en diabetes tipo 2
obesidad en diabetes tipo 2obesidad en diabetes tipo 2
obesidad en diabetes tipo 2cesar gaytan
 
Modeling Algorithm of Estimation Of Renal Function by the Cockcroft and M...
Modeling  Algorithm  of Estimation Of Renal Function  by the Cockcroft  and M...Modeling  Algorithm  of Estimation Of Renal Function  by the Cockcroft  and M...
Modeling Algorithm of Estimation Of Renal Function by the Cockcroft and M...hiij
 
Gouania Longipetala Aqueous Extract Exhibits Antiestrogen Activities and Acti...
Gouania Longipetala Aqueous Extract Exhibits Antiestrogen Activities and Acti...Gouania Longipetala Aqueous Extract Exhibits Antiestrogen Activities and Acti...
Gouania Longipetala Aqueous Extract Exhibits Antiestrogen Activities and Acti...YogeshIJTSRD
 
Efficiency of Use of Dietary Supplement Arteroprotect® In Prevention of Cardi...
Efficiency of Use of Dietary Supplement Arteroprotect® In Prevention of Cardi...Efficiency of Use of Dietary Supplement Arteroprotect® In Prevention of Cardi...
Efficiency of Use of Dietary Supplement Arteroprotect® In Prevention of Cardi...inventionjournals
 
Fatores de risco iu pós prostatectomia
Fatores de risco iu pós prostatectomiaFatores de risco iu pós prostatectomia
Fatores de risco iu pós prostatectomiaclaudiahacad
 
International Journal of Pharmaceutical Science Invention (IJPSI)
International Journal of Pharmaceutical Science Invention (IJPSI) International Journal of Pharmaceutical Science Invention (IJPSI)
International Journal of Pharmaceutical Science Invention (IJPSI) inventionjournals
 

What's hot (18)

Medicine Science I International Medical Journal; E- Journal of March 2020; V...
Medicine Science I International Medical Journal; E- Journal of March 2020; V...Medicine Science I International Medical Journal; E- Journal of March 2020; V...
Medicine Science I International Medical Journal; E- Journal of March 2020; V...
 
Medicine Science I International Medical Journal; E- Journal of June 2019; Vo...
Medicine Science I International Medical Journal; E- Journal of June 2019; Vo...Medicine Science I International Medical Journal; E- Journal of June 2019; Vo...
Medicine Science I International Medical Journal; E- Journal of June 2019; Vo...
 
Socio demographic profile of Diabetic cases attended at Diabetic clinic of a ...
Socio demographic profile of Diabetic cases attended at Diabetic clinic of a ...Socio demographic profile of Diabetic cases attended at Diabetic clinic of a ...
Socio demographic profile of Diabetic cases attended at Diabetic clinic of a ...
 
Mathematical Model for Drug Therapy in Patients With Diabetes Mellitus
Mathematical Model for Drug Therapy in Patients With Diabetes MellitusMathematical Model for Drug Therapy in Patients With Diabetes Mellitus
Mathematical Model for Drug Therapy in Patients With Diabetes Mellitus
 
El Tratamiento de bacteriuria asintomatica se asocia con alta prevalencia de ...
El Tratamiento de bacteriuria asintomatica se asocia con alta prevalencia de ...El Tratamiento de bacteriuria asintomatica se asocia con alta prevalencia de ...
El Tratamiento de bacteriuria asintomatica se asocia con alta prevalencia de ...
 
CONTROL OF BLOOD GLUCOSE IN DIABETIC PATIENTS
CONTROL OF BLOOD GLUCOSE IN DIABETIC PATIENTSCONTROL OF BLOOD GLUCOSE IN DIABETIC PATIENTS
CONTROL OF BLOOD GLUCOSE IN DIABETIC PATIENTS
 
Section21
Section21Section21
Section21
 
Buchan he rc_uk_launch
Buchan he rc_uk_launchBuchan he rc_uk_launch
Buchan he rc_uk_launch
 
CUN-BAE PDF
CUN-BAE PDFCUN-BAE PDF
CUN-BAE PDF
 
Brennan_et_al-2016-American_Journal_of_Transplantation_2016
Brennan_et_al-2016-American_Journal_of_Transplantation_2016Brennan_et_al-2016-American_Journal_of_Transplantation_2016
Brennan_et_al-2016-American_Journal_of_Transplantation_2016
 
Document 30
Document 30Document 30
Document 30
 
obesidad en diabetes tipo 2
obesidad en diabetes tipo 2obesidad en diabetes tipo 2
obesidad en diabetes tipo 2
 
Modeling Algorithm of Estimation Of Renal Function by the Cockcroft and M...
Modeling  Algorithm  of Estimation Of Renal Function  by the Cockcroft  and M...Modeling  Algorithm  of Estimation Of Renal Function  by the Cockcroft  and M...
Modeling Algorithm of Estimation Of Renal Function by the Cockcroft and M...
 
Gouania Longipetala Aqueous Extract Exhibits Antiestrogen Activities and Acti...
Gouania Longipetala Aqueous Extract Exhibits Antiestrogen Activities and Acti...Gouania Longipetala Aqueous Extract Exhibits Antiestrogen Activities and Acti...
Gouania Longipetala Aqueous Extract Exhibits Antiestrogen Activities and Acti...
 
Lipid Profile of Kashmiri Type 2 Diabetic Patients
Lipid Profile of Kashmiri Type 2 Diabetic PatientsLipid Profile of Kashmiri Type 2 Diabetic Patients
Lipid Profile of Kashmiri Type 2 Diabetic Patients
 
Efficiency of Use of Dietary Supplement Arteroprotect® In Prevention of Cardi...
Efficiency of Use of Dietary Supplement Arteroprotect® In Prevention of Cardi...Efficiency of Use of Dietary Supplement Arteroprotect® In Prevention of Cardi...
Efficiency of Use of Dietary Supplement Arteroprotect® In Prevention of Cardi...
 
Fatores de risco iu pós prostatectomia
Fatores de risco iu pós prostatectomiaFatores de risco iu pós prostatectomia
Fatores de risco iu pós prostatectomia
 
International Journal of Pharmaceutical Science Invention (IJPSI)
International Journal of Pharmaceutical Science Invention (IJPSI) International Journal of Pharmaceutical Science Invention (IJPSI)
International Journal of Pharmaceutical Science Invention (IJPSI)
 

Similar to Risk of Hypoglycemia Associated with Different Insulin Delivery Systems in Type I Diabetes Mellitus: A Meta-analysis

High prevalence of metabolic syndrome among competitive exam appearing studen...
High prevalence of metabolic syndrome among competitive exam appearing studen...High prevalence of metabolic syndrome among competitive exam appearing studen...
High prevalence of metabolic syndrome among competitive exam appearing studen...iosrjce
 
Rodent Models of Pharmacotherapy and Chronotherapy for Obesity and Cardiometa...
Rodent Models of Pharmacotherapy and Chronotherapy for Obesity and Cardiometa...Rodent Models of Pharmacotherapy and Chronotherapy for Obesity and Cardiometa...
Rodent Models of Pharmacotherapy and Chronotherapy for Obesity and Cardiometa...InsideScientific
 
Core Components of the Metabolic Syndrome in Nonalcohlic Fatty Liver Disease
Core Components of the Metabolic Syndrome in Nonalcohlic Fatty Liver DiseaseCore Components of the Metabolic Syndrome in Nonalcohlic Fatty Liver Disease
Core Components of the Metabolic Syndrome in Nonalcohlic Fatty Liver DiseaseIOSR Journals
 
My proposal defense of the coming month of may PPT FOR DEFENSE
My proposal defense of the coming month of may PPT FOR DEFENSEMy proposal defense of the coming month of may PPT FOR DEFENSE
My proposal defense of the coming month of may PPT FOR DEFENSEibrahimabdi22
 
A real life example to show the added value of the Phenotype Database (dbNP)....
A real life example to show the added value of the Phenotype Database (dbNP)....A real life example to show the added value of the Phenotype Database (dbNP)....
A real life example to show the added value of the Phenotype Database (dbNP)....Chris Evelo
 
The use of patient-centred health information systems in type 2 diabetes mell...
The use of patient-centred health information systems in type 2 diabetes mell...The use of patient-centred health information systems in type 2 diabetes mell...
The use of patient-centred health information systems in type 2 diabetes mell...Liliana Laranjo
 
Diagnosis of diabetes using classification mining techniques [
Diagnosis of diabetes using classification mining techniques [Diagnosis of diabetes using classification mining techniques [
Diagnosis of diabetes using classification mining techniques [IJDKP
 
2013-11-04 Futuremed, San Diego
2013-11-04 Futuremed, San Diego2013-11-04 Futuremed, San Diego
2013-11-04 Futuremed, San DiegoAlain van Gool
 
Dr antuna de alaiz antuna-miami talk
Dr antuna de alaiz antuna-miami talkDr antuna de alaiz antuna-miami talk
Dr antuna de alaiz antuna-miami talkclinidiabet
 
Diabetes Prediction Using ML
Diabetes Prediction Using MLDiabetes Prediction Using ML
Diabetes Prediction Using MLIRJET Journal
 
Impactof en feeding protocols
Impactof en feeding protocolsImpactof en feeding protocols
Impactof en feeding protocolsMario Sanchez
 
Behaviour change techniques targeting diet and physical activity in type 2 di...
Behaviour change techniques targeting diet and physical activity in type 2 di...Behaviour change techniques targeting diet and physical activity in type 2 di...
Behaviour change techniques targeting diet and physical activity in type 2 di...Health Evidence™
 
Group 2 Research (diagnostic study).pptx
Group 2 Research (diagnostic study).pptxGroup 2 Research (diagnostic study).pptx
Group 2 Research (diagnostic study).pptxVishwaRamesh4
 
C1 cda in hospital management of diabetes 2015
C1 cda in hospital management of diabetes 2015C1 cda in hospital management of diabetes 2015
C1 cda in hospital management of diabetes 2015Diabetes for all
 
Risck reduction programe for diabetes
Risck reduction programe for diabetes Risck reduction programe for diabetes
Risck reduction programe for diabetes Stevgo
 
ppt presentation for diabetes.pptx
ppt presentation for diabetes.pptxppt presentation for diabetes.pptx
ppt presentation for diabetes.pptxCrazyKiller16
 
Simbarashe Takuva, AIDS 2010. Durability of first line antiretroviral therapy...
Simbarashe Takuva, AIDS 2010. Durability of first line antiretroviral therapy...Simbarashe Takuva, AIDS 2010. Durability of first line antiretroviral therapy...
Simbarashe Takuva, AIDS 2010. Durability of first line antiretroviral therapy...Simba Takuva
 

Similar to Risk of Hypoglycemia Associated with Different Insulin Delivery Systems in Type I Diabetes Mellitus: A Meta-analysis (20)

Industrial-Project-Report
Industrial-Project-ReportIndustrial-Project-Report
Industrial-Project-Report
 
High prevalence of metabolic syndrome among competitive exam appearing studen...
High prevalence of metabolic syndrome among competitive exam appearing studen...High prevalence of metabolic syndrome among competitive exam appearing studen...
High prevalence of metabolic syndrome among competitive exam appearing studen...
 
Rodent Models of Pharmacotherapy and Chronotherapy for Obesity and Cardiometa...
Rodent Models of Pharmacotherapy and Chronotherapy for Obesity and Cardiometa...Rodent Models of Pharmacotherapy and Chronotherapy for Obesity and Cardiometa...
Rodent Models of Pharmacotherapy and Chronotherapy for Obesity and Cardiometa...
 
Core Components of the Metabolic Syndrome in Nonalcohlic Fatty Liver Disease
Core Components of the Metabolic Syndrome in Nonalcohlic Fatty Liver DiseaseCore Components of the Metabolic Syndrome in Nonalcohlic Fatty Liver Disease
Core Components of the Metabolic Syndrome in Nonalcohlic Fatty Liver Disease
 
My proposal defense of the coming month of may PPT FOR DEFENSE
My proposal defense of the coming month of may PPT FOR DEFENSEMy proposal defense of the coming month of may PPT FOR DEFENSE
My proposal defense of the coming month of may PPT FOR DEFENSE
 
A real life example to show the added value of the Phenotype Database (dbNP)....
A real life example to show the added value of the Phenotype Database (dbNP)....A real life example to show the added value of the Phenotype Database (dbNP)....
A real life example to show the added value of the Phenotype Database (dbNP)....
 
The use of patient-centred health information systems in type 2 diabetes mell...
The use of patient-centred health information systems in type 2 diabetes mell...The use of patient-centred health information systems in type 2 diabetes mell...
The use of patient-centred health information systems in type 2 diabetes mell...
 
Diagnosis of diabetes using classification mining techniques [
Diagnosis of diabetes using classification mining techniques [Diagnosis of diabetes using classification mining techniques [
Diagnosis of diabetes using classification mining techniques [
 
2013-11-04 Futuremed, San Diego
2013-11-04 Futuremed, San Diego2013-11-04 Futuremed, San Diego
2013-11-04 Futuremed, San Diego
 
Dr antuna de alaiz antuna-miami talk
Dr antuna de alaiz antuna-miami talkDr antuna de alaiz antuna-miami talk
Dr antuna de alaiz antuna-miami talk
 
Diabetes Prediction Using ML
Diabetes Prediction Using MLDiabetes Prediction Using ML
Diabetes Prediction Using ML
 
Impactof en feeding protocols
Impactof en feeding protocolsImpactof en feeding protocols
Impactof en feeding protocols
 
Non-alcoholic Fatty Liver Disease (NAFLD) and its association with metabolic ...
Non-alcoholic Fatty Liver Disease (NAFLD) and its association with metabolic ...Non-alcoholic Fatty Liver Disease (NAFLD) and its association with metabolic ...
Non-alcoholic Fatty Liver Disease (NAFLD) and its association with metabolic ...
 
Behaviour change techniques targeting diet and physical activity in type 2 di...
Behaviour change techniques targeting diet and physical activity in type 2 di...Behaviour change techniques targeting diet and physical activity in type 2 di...
Behaviour change techniques targeting diet and physical activity in type 2 di...
 
Group 2 Research (diagnostic study).pptx
Group 2 Research (diagnostic study).pptxGroup 2 Research (diagnostic study).pptx
Group 2 Research (diagnostic study).pptx
 
C1 cda in hospital management of diabetes 2015
C1 cda in hospital management of diabetes 2015C1 cda in hospital management of diabetes 2015
C1 cda in hospital management of diabetes 2015
 
Risck reduction programe for diabetes
Risck reduction programe for diabetes Risck reduction programe for diabetes
Risck reduction programe for diabetes
 
Imjh jun-2015-4
Imjh jun-2015-4Imjh jun-2015-4
Imjh jun-2015-4
 
ppt presentation for diabetes.pptx
ppt presentation for diabetes.pptxppt presentation for diabetes.pptx
ppt presentation for diabetes.pptx
 
Simbarashe Takuva, AIDS 2010. Durability of first line antiretroviral therapy...
Simbarashe Takuva, AIDS 2010. Durability of first line antiretroviral therapy...Simbarashe Takuva, AIDS 2010. Durability of first line antiretroviral therapy...
Simbarashe Takuva, AIDS 2010. Durability of first line antiretroviral therapy...
 

More from dylanturner22

Robust Methods for Health-related Quality-of-life Assessment
Robust Methods for Health-related Quality-of-life AssessmentRobust Methods for Health-related Quality-of-life Assessment
Robust Methods for Health-related Quality-of-life Assessmentdylanturner22
 
Patient Reported Outcomes (PROs) in Care Managed Patients: Potential and Chal...
Patient Reported Outcomes (PROs) in Care Managed Patients: Potential and Chal...Patient Reported Outcomes (PROs) in Care Managed Patients: Potential and Chal...
Patient Reported Outcomes (PROs) in Care Managed Patients: Potential and Chal...dylanturner22
 
Intermountain Diabetes Prevention Program:
Intermountain Diabetes Prevention Program:Intermountain Diabetes Prevention Program:
Intermountain Diabetes Prevention Program:dylanturner22
 
The University of Utah Center for Clinical and Translational Science (CCTS)
The University of Utah Center for Clinical and Translational Science (CCTS)The University of Utah Center for Clinical and Translational Science (CCTS)
The University of Utah Center for Clinical and Translational Science (CCTS)dylanturner22
 
Psychological Foundation of Clinical Decision-Support
Psychological Foundation of Clinical Decision-SupportPsychological Foundation of Clinical Decision-Support
Psychological Foundation of Clinical Decision-Supportdylanturner22
 
Bisphosphonates for Fracture Prevention in Males: A Systematic Review and Met...
Bisphosphonates for Fracture Prevention in Males: A Systematic Review and Met...Bisphosphonates for Fracture Prevention in Males: A Systematic Review and Met...
Bisphosphonates for Fracture Prevention in Males: A Systematic Review and Met...dylanturner22
 
Pros In Clinical Care
Pros In Clinical CarePros In Clinical Care
Pros In Clinical Caredylanturner22
 
Robust Methods for Health-related Quality-of-life Assessment
Robust Methods for Health-related  Quality-of-life AssessmentRobust Methods for Health-related  Quality-of-life Assessment
Robust Methods for Health-related Quality-of-life Assessmentdylanturner22
 
Agreement between Claims-based and Self-reported Adherence Measures in Patien...
Agreement between Claims-based and Self-reported Adherence Measures in Patien...Agreement between Claims-based and Self-reported Adherence Measures in Patien...
Agreement between Claims-based and Self-reported Adherence Measures in Patien...dylanturner22
 
Associations of the timing of physical therapy utilization and subsequent he...
Associations of the timing of physical  therapy utilization and subsequent he...Associations of the timing of physical  therapy utilization and subsequent he...
Associations of the timing of physical therapy utilization and subsequent he...dylanturner22
 
The Medicaid and CHIP Payment and Access Commission (MACPAC)
The Medicaid and CHIP Payment and Access Commission (MACPAC)The Medicaid and CHIP Payment and Access Commission (MACPAC)
The Medicaid and CHIP Payment and Access Commission (MACPAC)dylanturner22
 
TREATMENT AND LONG-TERM COSTS OF PEDIATRIC ACUTE LYMPHOBLASTIC LEUKEMIA
TREATMENT AND LONG-TERM COSTS OF PEDIATRIC ACUTE LYMPHOBLASTIC LEUKEMIATREATMENT AND LONG-TERM COSTS OF PEDIATRIC ACUTE LYMPHOBLASTIC LEUKEMIA
TREATMENT AND LONG-TERM COSTS OF PEDIATRIC ACUTE LYMPHOBLASTIC LEUKEMIAdylanturner22
 
Body Mass Index of Adolescent and Adult Survivors of Pediatric Acute Lymphobl...
Body Mass Index of Adolescent and Adult Survivors of Pediatric Acute Lymphobl...Body Mass Index of Adolescent and Adult Survivors of Pediatric Acute Lymphobl...
Body Mass Index of Adolescent and Adult Survivors of Pediatric Acute Lymphobl...dylanturner22
 
The Computerized Symptom Capture Tool (C-SCAT)
The Computerized Symptom Capture Tool (C-SCAT)The Computerized Symptom Capture Tool (C-SCAT)
The Computerized Symptom Capture Tool (C-SCAT)dylanturner22
 
Low 3-dose completion and missed opportunities for the HPV vaccine in Utah
Low 3-dose completion and missed opportunities for the HPV vaccine in UtahLow 3-dose completion and missed opportunities for the HPV vaccine in Utah
Low 3-dose completion and missed opportunities for the HPV vaccine in Utahdylanturner22
 
Financial Burden of Pediatric Cancer for Patients and their Families
Financial Burden of Pediatric Cancer for Patients and their FamiliesFinancial Burden of Pediatric Cancer for Patients and their Families
Financial Burden of Pediatric Cancer for Patients and their Familiesdylanturner22
 

More from dylanturner22 (16)

Robust Methods for Health-related Quality-of-life Assessment
Robust Methods for Health-related Quality-of-life AssessmentRobust Methods for Health-related Quality-of-life Assessment
Robust Methods for Health-related Quality-of-life Assessment
 
Patient Reported Outcomes (PROs) in Care Managed Patients: Potential and Chal...
Patient Reported Outcomes (PROs) in Care Managed Patients: Potential and Chal...Patient Reported Outcomes (PROs) in Care Managed Patients: Potential and Chal...
Patient Reported Outcomes (PROs) in Care Managed Patients: Potential and Chal...
 
Intermountain Diabetes Prevention Program:
Intermountain Diabetes Prevention Program:Intermountain Diabetes Prevention Program:
Intermountain Diabetes Prevention Program:
 
The University of Utah Center for Clinical and Translational Science (CCTS)
The University of Utah Center for Clinical and Translational Science (CCTS)The University of Utah Center for Clinical and Translational Science (CCTS)
The University of Utah Center for Clinical and Translational Science (CCTS)
 
Psychological Foundation of Clinical Decision-Support
Psychological Foundation of Clinical Decision-SupportPsychological Foundation of Clinical Decision-Support
Psychological Foundation of Clinical Decision-Support
 
Bisphosphonates for Fracture Prevention in Males: A Systematic Review and Met...
Bisphosphonates for Fracture Prevention in Males: A Systematic Review and Met...Bisphosphonates for Fracture Prevention in Males: A Systematic Review and Met...
Bisphosphonates for Fracture Prevention in Males: A Systematic Review and Met...
 
Pros In Clinical Care
Pros In Clinical CarePros In Clinical Care
Pros In Clinical Care
 
Robust Methods for Health-related Quality-of-life Assessment
Robust Methods for Health-related  Quality-of-life AssessmentRobust Methods for Health-related  Quality-of-life Assessment
Robust Methods for Health-related Quality-of-life Assessment
 
Agreement between Claims-based and Self-reported Adherence Measures in Patien...
Agreement between Claims-based and Self-reported Adherence Measures in Patien...Agreement between Claims-based and Self-reported Adherence Measures in Patien...
Agreement between Claims-based and Self-reported Adherence Measures in Patien...
 
Associations of the timing of physical therapy utilization and subsequent he...
Associations of the timing of physical  therapy utilization and subsequent he...Associations of the timing of physical  therapy utilization and subsequent he...
Associations of the timing of physical therapy utilization and subsequent he...
 
The Medicaid and CHIP Payment and Access Commission (MACPAC)
The Medicaid and CHIP Payment and Access Commission (MACPAC)The Medicaid and CHIP Payment and Access Commission (MACPAC)
The Medicaid and CHIP Payment and Access Commission (MACPAC)
 
TREATMENT AND LONG-TERM COSTS OF PEDIATRIC ACUTE LYMPHOBLASTIC LEUKEMIA
TREATMENT AND LONG-TERM COSTS OF PEDIATRIC ACUTE LYMPHOBLASTIC LEUKEMIATREATMENT AND LONG-TERM COSTS OF PEDIATRIC ACUTE LYMPHOBLASTIC LEUKEMIA
TREATMENT AND LONG-TERM COSTS OF PEDIATRIC ACUTE LYMPHOBLASTIC LEUKEMIA
 
Body Mass Index of Adolescent and Adult Survivors of Pediatric Acute Lymphobl...
Body Mass Index of Adolescent and Adult Survivors of Pediatric Acute Lymphobl...Body Mass Index of Adolescent and Adult Survivors of Pediatric Acute Lymphobl...
Body Mass Index of Adolescent and Adult Survivors of Pediatric Acute Lymphobl...
 
The Computerized Symptom Capture Tool (C-SCAT)
The Computerized Symptom Capture Tool (C-SCAT)The Computerized Symptom Capture Tool (C-SCAT)
The Computerized Symptom Capture Tool (C-SCAT)
 
Low 3-dose completion and missed opportunities for the HPV vaccine in Utah
Low 3-dose completion and missed opportunities for the HPV vaccine in UtahLow 3-dose completion and missed opportunities for the HPV vaccine in Utah
Low 3-dose completion and missed opportunities for the HPV vaccine in Utah
 
Financial Burden of Pediatric Cancer for Patients and their Families
Financial Burden of Pediatric Cancer for Patients and their FamiliesFinancial Burden of Pediatric Cancer for Patients and their Families
Financial Burden of Pediatric Cancer for Patients and their Families
 

Recently uploaded

Chandigarh Call Girls Service ❤️🍑 9809698092 👄🫦Independent Escort Service Cha...
Chandigarh Call Girls Service ❤️🍑 9809698092 👄🫦Independent Escort Service Cha...Chandigarh Call Girls Service ❤️🍑 9809698092 👄🫦Independent Escort Service Cha...
Chandigarh Call Girls Service ❤️🍑 9809698092 👄🫦Independent Escort Service Cha...Sheetaleventcompany
 
Cardiac Output, Venous Return, and Their Regulation
Cardiac Output, Venous Return, and Their RegulationCardiac Output, Venous Return, and Their Regulation
Cardiac Output, Venous Return, and Their RegulationMedicoseAcademics
 
👉Chandigarh Call Girl Service📲Niamh 8868886958 📲Book 24hours Now📲👉Sexy Call G...
👉Chandigarh Call Girl Service📲Niamh 8868886958 📲Book 24hours Now📲👉Sexy Call G...👉Chandigarh Call Girl Service📲Niamh 8868886958 📲Book 24hours Now📲👉Sexy Call G...
👉Chandigarh Call Girl Service📲Niamh 8868886958 📲Book 24hours Now📲👉Sexy Call G...Sheetaleventcompany
 
Chandigarh Call Girls Service ❤️🍑 9809698092 👄🫦Independent Escort Service Cha...
Chandigarh Call Girls Service ❤️🍑 9809698092 👄🫦Independent Escort Service Cha...Chandigarh Call Girls Service ❤️🍑 9809698092 👄🫦Independent Escort Service Cha...
Chandigarh Call Girls Service ❤️🍑 9809698092 👄🫦Independent Escort Service Cha...Sheetaleventcompany
 
Goa Call Girl Service 📞9xx000xx09📞Just Call Divya📲 Call Girl In Goa No💰Advanc...
Goa Call Girl Service 📞9xx000xx09📞Just Call Divya📲 Call Girl In Goa No💰Advanc...Goa Call Girl Service 📞9xx000xx09📞Just Call Divya📲 Call Girl In Goa No💰Advanc...
Goa Call Girl Service 📞9xx000xx09📞Just Call Divya📲 Call Girl In Goa No💰Advanc...Sheetaleventcompany
 
Dehradun Call Girls Service {8854095900} ❤️VVIP ROCKY Call Girl in Dehradun U...
Dehradun Call Girls Service {8854095900} ❤️VVIP ROCKY Call Girl in Dehradun U...Dehradun Call Girls Service {8854095900} ❤️VVIP ROCKY Call Girl in Dehradun U...
Dehradun Call Girls Service {8854095900} ❤️VVIP ROCKY Call Girl in Dehradun U...Sheetaleventcompany
 
Most Beautiful Call Girl in Chennai 7427069034 Contact on WhatsApp
Most Beautiful Call Girl in Chennai 7427069034 Contact on WhatsAppMost Beautiful Call Girl in Chennai 7427069034 Contact on WhatsApp
Most Beautiful Call Girl in Chennai 7427069034 Contact on WhatsAppjimmihoslasi
 
Intramuscular & Intravenous Injection.pptx
Intramuscular & Intravenous Injection.pptxIntramuscular & Intravenous Injection.pptx
Intramuscular & Intravenous Injection.pptxsaranpratha12
 
❤️Chandigarh Escorts Service☎️9814379184☎️ Call Girl service in Chandigarh☎️ ...
❤️Chandigarh Escorts Service☎️9814379184☎️ Call Girl service in Chandigarh☎️ ...❤️Chandigarh Escorts Service☎️9814379184☎️ Call Girl service in Chandigarh☎️ ...
❤️Chandigarh Escorts Service☎️9814379184☎️ Call Girl service in Chandigarh☎️ ...Sheetaleventcompany
 
❤️Call Girl Service In Chandigarh☎️9814379184☎️ Call Girl in Chandigarh☎️ Cha...
❤️Call Girl Service In Chandigarh☎️9814379184☎️ Call Girl in Chandigarh☎️ Cha...❤️Call Girl Service In Chandigarh☎️9814379184☎️ Call Girl in Chandigarh☎️ Cha...
❤️Call Girl Service In Chandigarh☎️9814379184☎️ Call Girl in Chandigarh☎️ Cha...Sheetaleventcompany
 
VIP Hyderabad Call Girls KPHB 7877925207 ₹5000 To 25K With AC Room 💚😋
VIP Hyderabad Call Girls KPHB 7877925207 ₹5000 To 25K With AC Room 💚😋VIP Hyderabad Call Girls KPHB 7877925207 ₹5000 To 25K With AC Room 💚😋
VIP Hyderabad Call Girls KPHB 7877925207 ₹5000 To 25K With AC Room 💚😋mahima pandey
 
Race Course Road } Book Call Girls in Bangalore | Whatsapp No 6378878445 VIP ...
Race Course Road } Book Call Girls in Bangalore | Whatsapp No 6378878445 VIP ...Race Course Road } Book Call Girls in Bangalore | Whatsapp No 6378878445 VIP ...
Race Course Road } Book Call Girls in Bangalore | Whatsapp No 6378878445 VIP ...dishamehta3332
 
Call Girls Shahdol Just Call 8250077686 Top Class Call Girl Service Available
Call Girls Shahdol Just Call 8250077686 Top Class Call Girl Service AvailableCall Girls Shahdol Just Call 8250077686 Top Class Call Girl Service Available
Call Girls Shahdol Just Call 8250077686 Top Class Call Girl Service AvailableDipal Arora
 
👉 Chennai Sexy Aunty’s WhatsApp Number 👉📞 7427069034 👉📞 Just📲 Call Ruhi Colle...
👉 Chennai Sexy Aunty’s WhatsApp Number 👉📞 7427069034 👉📞 Just📲 Call Ruhi Colle...👉 Chennai Sexy Aunty’s WhatsApp Number 👉📞 7427069034 👉📞 Just📲 Call Ruhi Colle...
👉 Chennai Sexy Aunty’s WhatsApp Number 👉📞 7427069034 👉📞 Just📲 Call Ruhi Colle...rajnisinghkjn
 
Pune Call Girl Service 📞9xx000xx09📞Just Call Divya📲 Call Girl In Pune No💰Adva...
Pune Call Girl Service 📞9xx000xx09📞Just Call Divya📲 Call Girl In Pune No💰Adva...Pune Call Girl Service 📞9xx000xx09📞Just Call Divya📲 Call Girl In Pune No💰Adva...
Pune Call Girl Service 📞9xx000xx09📞Just Call Divya📲 Call Girl In Pune No💰Adva...Sheetaleventcompany
 
Ahmedabad Call Girls Book Now 9630942363 Top Class Ahmedabad Escort Service A...
Ahmedabad Call Girls Book Now 9630942363 Top Class Ahmedabad Escort Service A...Ahmedabad Call Girls Book Now 9630942363 Top Class Ahmedabad Escort Service A...
Ahmedabad Call Girls Book Now 9630942363 Top Class Ahmedabad Escort Service A...GENUINE ESCORT AGENCY
 
Dehradun Call Girl Service ❤️🍑 8854095900 👄🫦Independent Escort Service Dehradun
Dehradun Call Girl Service ❤️🍑 8854095900 👄🫦Independent Escort Service DehradunDehradun Call Girl Service ❤️🍑 8854095900 👄🫦Independent Escort Service Dehradun
Dehradun Call Girl Service ❤️🍑 8854095900 👄🫦Independent Escort Service DehradunSheetaleventcompany
 
ANATOMY AND PHYSIOLOGY OF RESPIRATORY SYSTEM.pptx
ANATOMY AND PHYSIOLOGY OF RESPIRATORY SYSTEM.pptxANATOMY AND PHYSIOLOGY OF RESPIRATORY SYSTEM.pptx
ANATOMY AND PHYSIOLOGY OF RESPIRATORY SYSTEM.pptxSwetaba Besh
 
💚Chandigarh Call Girls Service 💯Piya 📲🔝8868886958🔝Call Girls In Chandigarh No...
💚Chandigarh Call Girls Service 💯Piya 📲🔝8868886958🔝Call Girls In Chandigarh No...💚Chandigarh Call Girls Service 💯Piya 📲🔝8868886958🔝Call Girls In Chandigarh No...
💚Chandigarh Call Girls Service 💯Piya 📲🔝8868886958🔝Call Girls In Chandigarh No...Sheetaleventcompany
 
💰Call Girl In Bangalore☎️63788-78445💰 Call Girl service in Bangalore☎️Bangalo...
💰Call Girl In Bangalore☎️63788-78445💰 Call Girl service in Bangalore☎️Bangalo...💰Call Girl In Bangalore☎️63788-78445💰 Call Girl service in Bangalore☎️Bangalo...
💰Call Girl In Bangalore☎️63788-78445💰 Call Girl service in Bangalore☎️Bangalo...gragneelam30
 

Recently uploaded (20)

Chandigarh Call Girls Service ❤️🍑 9809698092 👄🫦Independent Escort Service Cha...
Chandigarh Call Girls Service ❤️🍑 9809698092 👄🫦Independent Escort Service Cha...Chandigarh Call Girls Service ❤️🍑 9809698092 👄🫦Independent Escort Service Cha...
Chandigarh Call Girls Service ❤️🍑 9809698092 👄🫦Independent Escort Service Cha...
 
Cardiac Output, Venous Return, and Their Regulation
Cardiac Output, Venous Return, and Their RegulationCardiac Output, Venous Return, and Their Regulation
Cardiac Output, Venous Return, and Their Regulation
 
👉Chandigarh Call Girl Service📲Niamh 8868886958 📲Book 24hours Now📲👉Sexy Call G...
👉Chandigarh Call Girl Service📲Niamh 8868886958 📲Book 24hours Now📲👉Sexy Call G...👉Chandigarh Call Girl Service📲Niamh 8868886958 📲Book 24hours Now📲👉Sexy Call G...
👉Chandigarh Call Girl Service📲Niamh 8868886958 📲Book 24hours Now📲👉Sexy Call G...
 
Chandigarh Call Girls Service ❤️🍑 9809698092 👄🫦Independent Escort Service Cha...
Chandigarh Call Girls Service ❤️🍑 9809698092 👄🫦Independent Escort Service Cha...Chandigarh Call Girls Service ❤️🍑 9809698092 👄🫦Independent Escort Service Cha...
Chandigarh Call Girls Service ❤️🍑 9809698092 👄🫦Independent Escort Service Cha...
 
Goa Call Girl Service 📞9xx000xx09📞Just Call Divya📲 Call Girl In Goa No💰Advanc...
Goa Call Girl Service 📞9xx000xx09📞Just Call Divya📲 Call Girl In Goa No💰Advanc...Goa Call Girl Service 📞9xx000xx09📞Just Call Divya📲 Call Girl In Goa No💰Advanc...
Goa Call Girl Service 📞9xx000xx09📞Just Call Divya📲 Call Girl In Goa No💰Advanc...
 
Dehradun Call Girls Service {8854095900} ❤️VVIP ROCKY Call Girl in Dehradun U...
Dehradun Call Girls Service {8854095900} ❤️VVIP ROCKY Call Girl in Dehradun U...Dehradun Call Girls Service {8854095900} ❤️VVIP ROCKY Call Girl in Dehradun U...
Dehradun Call Girls Service {8854095900} ❤️VVIP ROCKY Call Girl in Dehradun U...
 
Most Beautiful Call Girl in Chennai 7427069034 Contact on WhatsApp
Most Beautiful Call Girl in Chennai 7427069034 Contact on WhatsAppMost Beautiful Call Girl in Chennai 7427069034 Contact on WhatsApp
Most Beautiful Call Girl in Chennai 7427069034 Contact on WhatsApp
 
Intramuscular & Intravenous Injection.pptx
Intramuscular & Intravenous Injection.pptxIntramuscular & Intravenous Injection.pptx
Intramuscular & Intravenous Injection.pptx
 
❤️Chandigarh Escorts Service☎️9814379184☎️ Call Girl service in Chandigarh☎️ ...
❤️Chandigarh Escorts Service☎️9814379184☎️ Call Girl service in Chandigarh☎️ ...❤️Chandigarh Escorts Service☎️9814379184☎️ Call Girl service in Chandigarh☎️ ...
❤️Chandigarh Escorts Service☎️9814379184☎️ Call Girl service in Chandigarh☎️ ...
 
❤️Call Girl Service In Chandigarh☎️9814379184☎️ Call Girl in Chandigarh☎️ Cha...
❤️Call Girl Service In Chandigarh☎️9814379184☎️ Call Girl in Chandigarh☎️ Cha...❤️Call Girl Service In Chandigarh☎️9814379184☎️ Call Girl in Chandigarh☎️ Cha...
❤️Call Girl Service In Chandigarh☎️9814379184☎️ Call Girl in Chandigarh☎️ Cha...
 
VIP Hyderabad Call Girls KPHB 7877925207 ₹5000 To 25K With AC Room 💚😋
VIP Hyderabad Call Girls KPHB 7877925207 ₹5000 To 25K With AC Room 💚😋VIP Hyderabad Call Girls KPHB 7877925207 ₹5000 To 25K With AC Room 💚😋
VIP Hyderabad Call Girls KPHB 7877925207 ₹5000 To 25K With AC Room 💚😋
 
Race Course Road } Book Call Girls in Bangalore | Whatsapp No 6378878445 VIP ...
Race Course Road } Book Call Girls in Bangalore | Whatsapp No 6378878445 VIP ...Race Course Road } Book Call Girls in Bangalore | Whatsapp No 6378878445 VIP ...
Race Course Road } Book Call Girls in Bangalore | Whatsapp No 6378878445 VIP ...
 
Call Girls Shahdol Just Call 8250077686 Top Class Call Girl Service Available
Call Girls Shahdol Just Call 8250077686 Top Class Call Girl Service AvailableCall Girls Shahdol Just Call 8250077686 Top Class Call Girl Service Available
Call Girls Shahdol Just Call 8250077686 Top Class Call Girl Service Available
 
👉 Chennai Sexy Aunty’s WhatsApp Number 👉📞 7427069034 👉📞 Just📲 Call Ruhi Colle...
👉 Chennai Sexy Aunty’s WhatsApp Number 👉📞 7427069034 👉📞 Just📲 Call Ruhi Colle...👉 Chennai Sexy Aunty’s WhatsApp Number 👉📞 7427069034 👉📞 Just📲 Call Ruhi Colle...
👉 Chennai Sexy Aunty’s WhatsApp Number 👉📞 7427069034 👉📞 Just📲 Call Ruhi Colle...
 
Pune Call Girl Service 📞9xx000xx09📞Just Call Divya📲 Call Girl In Pune No💰Adva...
Pune Call Girl Service 📞9xx000xx09📞Just Call Divya📲 Call Girl In Pune No💰Adva...Pune Call Girl Service 📞9xx000xx09📞Just Call Divya📲 Call Girl In Pune No💰Adva...
Pune Call Girl Service 📞9xx000xx09📞Just Call Divya📲 Call Girl In Pune No💰Adva...
 
Ahmedabad Call Girls Book Now 9630942363 Top Class Ahmedabad Escort Service A...
Ahmedabad Call Girls Book Now 9630942363 Top Class Ahmedabad Escort Service A...Ahmedabad Call Girls Book Now 9630942363 Top Class Ahmedabad Escort Service A...
Ahmedabad Call Girls Book Now 9630942363 Top Class Ahmedabad Escort Service A...
 
Dehradun Call Girl Service ❤️🍑 8854095900 👄🫦Independent Escort Service Dehradun
Dehradun Call Girl Service ❤️🍑 8854095900 👄🫦Independent Escort Service DehradunDehradun Call Girl Service ❤️🍑 8854095900 👄🫦Independent Escort Service Dehradun
Dehradun Call Girl Service ❤️🍑 8854095900 👄🫦Independent Escort Service Dehradun
 
ANATOMY AND PHYSIOLOGY OF RESPIRATORY SYSTEM.pptx
ANATOMY AND PHYSIOLOGY OF RESPIRATORY SYSTEM.pptxANATOMY AND PHYSIOLOGY OF RESPIRATORY SYSTEM.pptx
ANATOMY AND PHYSIOLOGY OF RESPIRATORY SYSTEM.pptx
 
💚Chandigarh Call Girls Service 💯Piya 📲🔝8868886958🔝Call Girls In Chandigarh No...
💚Chandigarh Call Girls Service 💯Piya 📲🔝8868886958🔝Call Girls In Chandigarh No...💚Chandigarh Call Girls Service 💯Piya 📲🔝8868886958🔝Call Girls In Chandigarh No...
💚Chandigarh Call Girls Service 💯Piya 📲🔝8868886958🔝Call Girls In Chandigarh No...
 
💰Call Girl In Bangalore☎️63788-78445💰 Call Girl service in Bangalore☎️Bangalo...
💰Call Girl In Bangalore☎️63788-78445💰 Call Girl service in Bangalore☎️Bangalo...💰Call Girl In Bangalore☎️63788-78445💰 Call Girl service in Bangalore☎️Bangalo...
💰Call Girl In Bangalore☎️63788-78445💰 Call Girl service in Bangalore☎️Bangalo...
 

Risk of Hypoglycemia Associated with Different Insulin Delivery Systems in Type I Diabetes Mellitus: A Meta-analysis

  • 1. Risk of Hypoglycemia Associated with Different Insulin Delivery Systems in Type I Diabetes Mellitus: A Meta-analysis Eman Biltaji,1,2 Kaitlin Kuo, 1,2 Mukul Singhal,1,2 Carrie McAdam Marx, 1,2 Joanne LaFleur, 1,2,3 Gregory Stoddard4 1. Department of Pharmacotherapy, University of Utah 2. Pharmacotherapy Outcome Research Centre (PORC), University of Utah 3. VA Salt Lake City Health Care Systems, Salt Lake City, Utah, USA. 4. Orthopedic Surgery Operations, University of Utah
  • 2. DM Type I Statistics: USA • Incidence: – More than 15,000 child and 15,000 adult/year – Approximately 80 people/day • Prevalence: – Around 3 million – Between 2001 and 2009, increase in prevalence in people under age 20 is 23% Source: JFDR. Diabetes type 1 facts. Available at: https://jdrf.org/about-jdrf/fact-sheets/type-1- diabetes-facts/
  • 3. DM type 1 Management • Management • Problems – Complex treatment algorithms – Different insulin • Types • Combinations • Delivery systems – Frequent Monitoring – Side effects Source: American Society of Clinical Endocrinologists. https://www.aace.com/
  • 4. Prognosis • Most DM type 1 patients do NOT achieve their glycemic targets despite the advances in insulin analogues and delivery systems.2 Sources 1. Nathan et al. N Engl J Med 2005 2. The Diabetes Control and Complications Trial Research Group. JAMA 2003 ↑ Glycemic Control ↓ Microvascular & Macrovascular Complications1
  • 5. Why? Treatment Side Effects Source: Cryer. Diabetologia 2002
  • 6. Hypoglycemia • Choudhary (Diabet Med 2010) – Patient reported non-severe hypoglycemia: • 2.7 episodes/patient/week • Commonly during the night • Juvenile Diabetes Research Foundation (Diabetes Care 2010) – Nocturnal hypoglycemia duration: • ≥ 1 hour → 47% • ≥ 2 hours → 23% • ≥ 3 hours → 11%
  • 7. Improving glycemic control… Insulin Delivery System Open Loop MDI CSII Alone CSII + SMBG Closed Loop CSII + automatic monitoring Dual Hormone Sources: Farmer et al. The Journal of pharmacy and pharmacology. 2008 Thabit et al. Endocrinology and metabolism clinics of North America. 2012 CSII: Continuous subcutaneous insulin infusion, MDI: Multiple Dose Injection, SMBG: Self monitoring blood glucose,
  • 8. Closed-loop Insulin Delivery System Image Source: Mayo Clinic. Available at http://www.mayo.edu/research/labs/artificial- pancreas/overview
  • 9. Benefits Open loop • More patient control • With CGM, provides real time information on glucose values and trends Closed loop • Improve glycemic control • More convenient – No need for human interaction – Less frequent monitoring – Improve QoL • Avoid hypoglycemia ? Source: Thabit et al. Endocrinology and metabolism clinics of North America. 2012
  • 10. Risks Open loop • Not enough control • Needs CGM – Compliance to wear device • Hypoglycemia – Nocturnal • Patient education Closed loop • Insulin accumulation • Inappropriate algorithms • Individual variability • Reliability and accuracy of monitoring Source: Thabit et al. Endocrinology and metabolism clinics of North America. 2012
  • 11. Objective • To assess the risk of hypoglycemia associated with closed-loop insulin delivery system compared to open-loop insulin delivery system among type 1 diabetic patients
  • 13. Databases Used • Comprehensive search of bibliographic databases including ‒ PubMed ‒ Cochrane ‒ DynaMed ‒ Scopus ‒ CINAHL ‒ Clinicaltrials.gov ‒ Conferences (ADA)
  • 14. Search Terms (Closed loop insulin) OR (Artificial pancreas) AND Diabetes AND (Trial OR Trials) AND Clinical OR ((Random or randomly or randomized) AND (Trial OR Trials)) OR “clinical trial” OR “clinical trials” OR “controlled clinical trial” OR “controlled clinical trials”
  • 15. Included Studies • Inclusion – Clinical trial – Diabetes (type I) – Closed loop – Open loop (as comparison) – English • Excluded – If older than 2005
  • 16. Statistical Analysis • Odds ratio as effect estimate • Forrest plot → Pooled estimate • Funnel plot → Publication bias • L’Abbe plot → Effect of study size on outcome • Sub group analysis/ Sensitivity analysis • Meta regression → Effect of baseline independent variables • Software: Stata 12 IC/ Stata 13 IC
  • 17. Sub group Analysis • Adults vs. children • Study duration (<1 months vs. >1 months) • Hypoglycemia definition (<3.9 mmol/dL vs. <3.5mmol/dL) • Type of hypoglycemia
  • 19. Figure 1. Study Selection Flowchart Initial Search (n=511) Final Cohort (n=8) Abstracts Reviewed (n=244) Full Article Reviewed (n=29) Studies before 2005 (n=150) Duplicative Studies (n=117) Not Matching inclusion criteria (n=192) Contacting Authors (n=23) Not reporting outcome of interest (n=21)
  • 20. Table 1. Study characteristics of the included studies Study, Year Design Study Duration Mean HbA1c (%) Mean DM (years) Mean Age (years) Mean CSII (years) Breton et al, 2012 (sCTR) Multicentere Randomized crossover 22 hours 7.9 16.9 29.3 8.1 Breton et al, 2012 (eCTR) Multicentere Randomized crossover 22 hours 7.5 21.7 38 3.1 Nimri et al, 2013 Multicentere Randomized crossover 24 hours 8.1 13.5 23.8 5.5 Dauber et al, 2013 RCT crossover 28 hours 8.1 2.1 5.1 . Haidar et al, 2013 RCT crossover (open-label) 30 hours 7.9 26.5 47.1 0.25 Bruttomesso et al, 2009 crossover 44 hours 7.4 20.5 42 . Elleri et al, 2013 RCT crossover (open-label) 72 hours 7.9 5.7 15 . Phillip et al, 2013 Multicentere Randomized crossover 72 hours 8 7 13.8 4.8 Bergenstal et al, 2013 Multicenter RCT Parallel 3 month 7.2 26.9 43.2 0.5 DM: Diabetes Mellitus, CSII: Continuous subcutaneous insulin infusion, RCT: randomized controlled trials, , Sev: Severe, US: United States
  • 21. Table 2. Number of events of the included studies Study, Year Participants (CL/OL) CL/ OL Type Hypoglycemia definition CL/OL Pt at least one event Breton et al, 2012 (sCTR) 25 (25/25) CSII+CGM+Algo/CSII+CGM < 3.9mmol/dL 11/17 Breton et al, 2012 (eCTR) 12 (12/12) CSII+CGM+Algo/CSII+CGM < 3.9mmol/dL 8/9 Nimri et al, 2013 12 (12/12) CSII+CGM+Algo/CSII+CGM <3.5mmol/l 1/2 Dauber et al, 2013 10 (10/10) CSII+CGM+Algo/CSII+CGM < 3.9mmol/dL 5/2 Haidar et al, 2013 15 (15/15) Dual hormone/ CSII+CGM <3 mmol/l 1/8 Bruttomesso et al, 2009 6 (6/6) CSII+CGM+Algo/CSII+CGM < 3.9mmol/dL 3/2 Elleri et al, 2013 12 (12/12) CSII+CGM+Algo/CSII+CGM < 3.9mmol/dL 11/8 Phillip et al, 2013 54 (54/54) CSII+CGM+Algo/CSII+CGM requiring assistance 0/0 Bergenstal et al, 2013 247 (121/126) CSII+CGM+Algo/CSII+CGM requiring assistance 0/4 Algo: Algorithm, CGM: Continuous glucose monitoring, CSII: Continuous subcutaneous insulin infusion, CL: Closed-loop, Noct: Nocturnal, OL: Open-loop, Sev: Severe
  • 22. Table 3. Number of events By Hypoglycemia Type Study, Year CL/OL Pt at least one event Noct CL/OL Day CL/OL Post exe CL/OL Post prand CL/OL Sev CL/OL Breton et al, 2012 (sCTR) 11/17 10/15 . 5/8 1/7 . Breton et al, 2012 (eCTR) 8/9 7/6 . 4/1 2/1 . Nimri et al, 2013 1/2 0/0 . . 1/1 . Dauber et al, 2013 5/2 5/2 0/0 . . . Haidar et al, 2013 1/8 0/5 . 1/2 . . Bruttomesso et al, 2009 3/2 3/2 2/0 . . . Elleri et al, 2013 11/8 7/7 11/6 . . . Phillip et al, 2013 0/0 . . . . 0/0 Bergenstal et al, 2013 0/4 . . . . 0/4 Algo: Algorithm, CGM: Continuous glucose monitoring, CSII: Continuous subcutaneous insulin infusion, CL: Closed-loop, Noct: Nocturnal, OL: Open-loop, Sev: Severe
  • 23. Figure 1. Forrest Plot of included studies
  • 24. Figure 2. Forrest Plot without dual hormone study
  • 26. Figure 4. L’Abbe plot depicting the result of studies
  • 27. Figure 5. Subtype of hypoglycemia: Daytime (p=0.02)
  • 28. Figure 6. Meta regression- Baseline DM duration Coefficient; 95%CI =-0.144; -0.257, -0.032 (P=0.018)
  • 29. Major Findings • Among algorithm-based closed-loop insulin delivery system users, there is not a statistically significant decrease in the risk of hypoglycemia even after subgroup analysis. • There is a statistically significant hypoglycemia risk reduction among dual-hormone based closed-loop system, according to the results of a single trial. • Patients using closed-loop system have significantly more hypoglycemic events during daytime. (p=0.02) • Diabetes duration will affect the risk of hypoglycemia in closed-loop system users; the longer the duration, the less the events are. (p=0.018)
  • 30. Limitations • Many studies had small sample size. • Many studies had short follow-up time. • Hypoglycemia events were not always reported. • Hypoglycemia definition variation • Only including binary outcomes. • Language bias.
  • 31. Conclusion • Currently, there is no statistically significant difference in hypoglycemia risk among type I DM patients on closed loop insulin delivery compared to open loop.
  • 32. Future Research • Larger Studies are needed • Longer duration studies are needed • Develop better algorithms
  • 33. Acknowledgements • Dr. Jaewhan Kim • Dr. Osama Shoair

Editor's Notes

  1. http://professional.diabetes.org/admin/UserFiles/0%20-%20Sean/FastFacts%20March%202013.pdfEconomic Burden:$245 billion/yearAround 26 million children and adultsADA
  2. https://www.aace.com/publications/algorithm
  3. Intensive insulin therapy is associated with higher risk of hypoglycemia.
  4. Hypoglycaemia exposure was assessed prospectively over 9–12 months using weekly 4-point capillary home blood glucose monitoring (HBGM), 5 days of CGM and prospective reporting of severe hypoglycaemia.
  5. Sometimes called Artificial Pancreas
  6. Continuous Glucose Monitoring
  7. Outcome variableNumber of patients with at least 1 hypoglycemic event
  8. Most of the studies were not foundAuthor was contacted for responseSome contacted with the link of published articlesSome responded with the promise to show the result once they haveNever responded
  9. Explain
  10. Explain
  11. Report 1 model and justifyUse fixed effect modelRun sensitivity analysis
  12. Talk about each definition
  13. Talk about each definition
  14. There is no publication bias in included studies (p=0.546)
  15. Large studies show no difference and small studies show difference
  16. Add coefficient on graphs
  17. Summary tables