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7/30/2019 1. Comprehensive Glycaemia Control With Saxagliptin Emerging Option for Type 2 DM Management - Dr. Pradana
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Pradana Soewondo
Department of Internal MedicineFaculty of Medicine University of Indonesia-
Cipto Mangunkusumo National ReferralHospital
Jakarta, Indonesia
Comprehensive Glycaemia Control with
Saxagliptin : Emerging Option for Type 2 DM
Management
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Overview
Epidemiology diabetes in
Indonesia
Results of DiabCare study 2008
Diabetes management
Algorithm Perkeni
Saxagliptin -DDP-4 Inhibitors
Conclusion
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Diabetes
Diagnostic Cut Points for IFG, IGT, and
Diabetes
ADA=American Diabetes Association; IFG=impaired fasting glucose; IGT=impaired glucose tolerance
Adapted from American Diabetes Association. Diabetes Care. 2006; 29(suppl 1): S4S42.
2-h Postload Glucose
Fasting Glucose
100 mg/dL
140 mg/dL
NormalGlucose
200 mg/dL
IGT
126 mg/dL
IFG IFG + IGT
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Prevalence of IGT and DM In Indonesia
Known DM Undiagnosed
DM
Total DM IGT
1,5 % 4,2 % 5,7 % 10,2 %
Indonesian National Health Survey,
2007
N = 24.400
> 15 years
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Papua Barat (21,8%) Sulawesi Barat (17,6%) Sulawesi Utara (17,3%)
Kalimantan Selatan(14,7%)
Jawa Tengah (13,1%)
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Kalimantan Barat (11,1%) Maluku Utara (11,1%) Riau (10,4%)
Bangka Belitung (8,6%)
NAD (8,5%)
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The DiabCare Asia 2008 Study Outcomes onControl and Complications of Type 2 Diabetic
Patients in Indonesia
Pradana Soewondo, Sidartawan Soegondo, Ketut Suastika,
Agung Pranoto, Djoko Wahono Soeatmadji, Askandar
Tjokroprawiro
Objective
To collect information on diabetes management,
diabetes complications, and awareness of self-control in diabetic population of the country. Thisstudy also evaluated the physician perspectives,psychological aspects, and quality of life ofdiabetic patients.
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Variable Data
Age (Years)* (n=1719) 58.939.57
Gender** (n=1803) Male/ Female793 (43.3) / 1010
(55.16)
Age at Onset (Years)* (n=1686) 49.686.8
Duration of Diabetes (Years)* (n=1704) 8.615.97
Type of Diabetes**Type 1
Type 2
Others
17 (0.9)
1785 (97.5)
2 (0.1)
BMI (Kg/m2)14 * (n=1646)
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Diabetes management variable Data, n (%)Type of Management
Diet Insulin monotherapy
Insulin and OAD combination
OAD monotherapy
Herbal
None
-317 (17.3)
356 (19.4)
1133 (61.9)
5 (0.3)
20 (1.1)Type of OAD Therapy
Biguanides
Sulphonylureas
Meglitinides
Alpha Glucosidase inhibitorsThiazolidinediones
Other OADs
Traditional Herbal medicines
Double drug fixed dose combination
Triple drug fixed dose combination
1085(59.3)
1036(56.6)
8(0.4)
461(25.2)51(2.8)
48 (2.6)
5(0.3)
88 (4.8)
5 (0.3)
Diabetes Management - The DiabCare Indonesia
2008
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Use of OADs Decreased at Duration of Diabetes 10
Years
Number of patients (%)
92 -- 89.71
90 --
88 -- 86.67 86.86 86.83
86 -- 84.27
84 --
82 --
80 --
77.71
78 --
76 --74 --
72 --
70
< 1 1 and
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Glycemic Control In The Study Population
Fasting Postprandial A1c
143.6 mg% 207.7 mg% 8.1 %
143.6
207.7 200.2
0
50
100
150
200
250
FPG (mg/dL) PPG(mg/dLl) RPG(mg/dl)
Glycaemi
ccontrollevel
DiabCare Indonesia 2008
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67.85
81.01
47.22
68.78
0
10
20
30
40
50
60
70
80
90
ADA
(7%)
AACE/IDF
/APDPG(6.5%)
ADA (>7.22) AACE/IDF
/APDPG(6.1)
%o
fpatients
FPG (mmol/l)HbA1c (%)
A1c and FPG stratified according to differentguidelines
DiabCare Indonesia 2008
Only 32% patients reach target HbA1c < 7%
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A1c Target amongst Asia Countries
Country A1c (%) A1c >7% (%)
Indonesia 8.1 67.7
Bangladesh 8.6 76.9
Singapore 7.8 65.4
Malaysia 8.6 76.5
Taiwan 7.9 69.7
Thailand 8.2 74.3
Philippines 8 31.8
DiabCare Asia - 2008
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Parameter 2003 2008
Age (Yrs) 58.79.3 58.99.5
Duration of diabetes (Yrs) 9.26.6 9.27.2
Sex (M/F) % 42.9/57.1 44/56
Type 2 DM (%) 98.2 97.4
Mean BMI (kg/m2) 24.13.5 25.13.6
Mean A1c (%) 7.92.0 8.11.6
Mean FPG (mmol/l) 8.43.4 7.92.4
Mean PPG (mmol/l) 11.63.9 11.53.6
HDL-cholesterol (mmol/l) 1.30.4 1.30.8
Triglycerides (mmol/l) 2.01.1 1.70.6
Comparison of 2003 and 2008 DiabCare study
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Target of Treatment
Risk CVD (-) Risk CVD (+)
IMT (kg/m2) 18,5 - < 23
Glukosa darah
- Puasa (mg/dL) < 100
- 2 jam PP (mg/dL) < 140
A1C (%) < 7,0 < 7,0
Tekanan Darah < 130/80 < 130/80
Profil Lipid
Total kolesterol (mg/dL)
Trigliserid (mg/dL)
HDL kolesterol (mg/dL)
LDL kolesterol (mg/dL) < 100 < 70
PERKENI Guidelines 2011
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BMS/AZ CONFIDENTIAL INFORMATION INTERNAL USE ONLY. DO NOT DUPLICATE, DISTRIBUTE OR USE IN CUSTOMER PRESENTATIONS.17
Multiple Factors Contribute to T2DM
1. Bode BW.Postgrad Med. 2009;121:82-93.2. DeFronzo RA. Ann Intern Med. 1999;131:281-303.3. DeFronzo RA. Diabetes. 2009;58:773-795.
Decreased glucose
uptake
Progressive -celldysfunction
Hepatic
glucose production
Lack of
glucagonsuppression
Impaired
incretinsignaling
Increased
renalglucose transport
Type 2 Diabetes
Increased
lipolysis
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18
Pancreatic Islet Dysfunction Leads to Hyperglycemiain T2DM
Glucose
Fewer-Cells -CellsHypertrophy
Insufficient
Insulin
Excessive
Glucagon+
Glucose
Uptake
HGO
+
HGO=hepatic glucose output
Adapted from Ohneda A, et al. J Clin Endocrinol Metab. 1978; 46: 504510; Gomis R, et al. Diabetes Res Clin Pract. 1989; 6: 191198.
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19
Abnormal Pancreatic Islet Function Determines the Development ofIGT and T2DM in the Setting of Insulin Resistance
Age, lifestyle,environmental factors
Insulin resistance
Normal islet
function
NGT IGT / T2DM
Abnormal
islet function
IGT=impaired glucose tolerance; NGT=normal glucose tolerance; T2DM=type 2 diabetes mellitus
Adapted from Ahrn B, et al. Diabetes Obes Metab. 2005; 7: 28.
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Insulin and Glucagon Response to a LargeCarbohydrate Meal in Type 2 Diabetes
Insulin
(U/ml)
Glucagon
(g/ml)
Glucose
(mg/100ml)
*Insulin measured in five patientsAdapted from Mller WA et al N Engl J Med1970;283:109115.
Type 2 diabetes mellitus (n=12)*Nondiabetic controls (n=11)
150
0
140
90
360
80
240
60
Time (minutes)
30
60
90
120
110
270
300
330
100
110
120130
Meal
Nonsuppressed glucagon
0 60 120 180 240
Depressed/delayed insulin response
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22
Adapted from Brubaker PL, Drucker DJ Endocrinology2004;145:26532659; Zander M et al Lancet2002;359:824830; Ahrn B Curr Diab Rep2003;3:365372; Buse JB et al. In Williams Textbook of Endocrinology. 10th ed. Philadelphia, Saunders, 2003:14271483.
Incretins Regulate Glucose HomeostasisThrough Effects on Islet Cell Function
Active
GLP-1 and GIP
Release of
incretin guthormones
Pancreas
Blood
glucose control
GI tract
Glucagonfrom alpha cells(GLP-1)
Glucose dependent
Alpha cells
Increased insulin
and decreased
glucagon
reduce
hepatic
glucose output
Glucose dependent
Insulinfrom beta cells
(GLP-1 and GIP)
Beta cells
Insulin
increases
peripheral
glucose
uptake
Ingestion offood
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23
L-Cell
(ileum)
Proglucagon
GLP-1 [737]
GLP-1 [736 NH2]
K-Cell
(jejunum)
ProGIP
GIP [142]
GIP=glucose-dependent insulinotropic peptide; GLP-1=glucagon-like peptide-1
Adapted from Drucker DJ. Diabetes Care. 2003; 26: 29292940.
GLP-1 and GIP Are Synthesized and Secreted from theGut in Response to Food Intake
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24
GLP-1=glucagon-like peptide-1; T2DM=type 2 diabetes mellitus
*P
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25
N=10 patients with type 2 diabetes. Patients were studied on two occasions. A regular meal and drug schedule wasallowed for one day between the experiments with GLP-1 and placebo.
*p
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26
FPG=fasting plasma glucose; HGP=hepatic glucose production; T2DM=type 2 diabetes mellitus
Adapted from DeFronzo RA. Diabetes. 1988; 37: 667687.
1.0
1.5
2.02.5
3.0
3.5
4.0
4.5
50 100 150 200 250 300
FPG (mg/dL)
HGP(mg/kg min)
Excessive
glucagon-mediated
glucose output
0.8
1.2
1.6
2.0
2.4
2.8
50 100 150 200 250 300
Glucose Clearance(mL/kg min) Impaired
insulin-mediated
glucose disposal
Diagnosis
Decreased Glucose Disposal and Increased HGPContribute to Increased FPG in T2DM
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29
IFG=impaired fasting glucose; IGT=impaired glucose tolerance; NGT=normal glucose tolerance
Adapted from International Diabetes Center. Type 2 Diabetes BASICS. Minneapolis, Minn: International Diabetes Center; 2000.
Prediabetes
(IFG/IGT)NGT Diabetes
Insulin resistance
Islet cell functionDiagnosis
Treatment Targets: Deteriorating Islet Cell Function inthe Setting of Insulin Resistance
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30
Pharmacologic Targets of Current Drugs Used in the
Treatment of T2DM
-glucosidase inhibitorsDelay intestinal carbohydrate
absorption
ThiazolidinedionesIncrease glucose uptake inskeletal muscle and
decrease lipolysis in
adipose tissue
SulfonylureasIncrease insulin secretion
from pancreatic -cells
GLP-1 analog (exenatide injectable)
Improves glucose-dependent insulinsecretion, suppresses glucagon secretion,
slows gastric emptying
DDP-4=dipeptidyl peptidase-4; GLP-1=glucagon-like peptide-1; T2DM=type 2 diabetes mellitus
Adapted from Cheng AY, Fantus IG. CMAJ. 2005; 172: 213226.
MeglitinidesIncrease insulin secretion
from pancreatic -cells
DPP-4 inhibitorsProlong GLP-1 action, stimulate insulin
secretion, suppress glucagon release
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31
Expected HbA1c reduction according to intervention
Intervention Expected in HbA1c (%)
Lifestyle interventions 1 to 2%
Metformin 1 to 2%
Sulfonylureas 1 to 2%
Insulin 1.5 to 3.5%
Glinides 1 to 1.5%1
Thiazolidinediones 0.5 to 1.4%
-Glucosidase inhibitors 0.5 to 0.8%
GLP-1 agonist 0.5 to 1.0%
Pramlintide 0.5 to 1.0%
DPP-IV inhibitors 0.5 to 0.8%
1. Repaglinide is more effectie than nateglinideAdapted from Nathan DM, et al. Diabetes Care2009;32:193-203.
Al it P l l DM ti 2 T D k i
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Algoritme Pengelolaan DM tipe-2 Tanpa Dekompensasi
DM Tahap-I Tahap-II Tahap-III
GHSGHS
+
monoterapi
GHS
+Kombinasi 2 OHO
GSH
+
Kombinasi 3 OHO
GHS
+
Kombinasi 2 OHO
+
Basal insulin
Insulin intensif*
Jalur pilihan alternatif, bila:-tidak terdapat insulin
-diabetisi betul-betul menolak
insulin
-kendali glukosa belum
optimal
Catatan:1. GHS = gaya hidup sehat
2. Dinayatakan gagal bi laterapi selama 2-3 bulan
pada tiap tahap tidak
mencapai target terapi
HbA1c
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9% 9-10% >10%
Kadar HbA1c
GHS
Gaya HidupSehat
Penurunan
berat badan
Mengatur diit
Latihan
Jasmani teratur
GHS
+
Monoterapi
Met, SU,
AGI, Glinid,
TZD,
DPP-IV inh
GHS
+
Kombinasi
2 obat
Met, SU,AGI, Glinid
TZD,
DPP-IV inh
GHS
+
Kombinasi3 obat
Met, SU,
AGI, Glinid
TZD, DPP-
IV inh
GHS
+
Kombinasi
2 obat
Met, SU,
AGI,Glinid, TZD
+
Basal Insulin
GHS
+
Insulin
Intensif*
Catatan
1. Dinyatakan gagal bila
dengan terapi 2-3 bulan
tidak mencapai target
HbA1c
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34
-Cell Function Continues to Decline Regardless ofIntervention in T2DM
T2DM=type 2 diabetes mellitus
*-cell function measured by homeostasis model assessment (HOMA)
Adapted from UKPDS Group. Diabetes. 1995; 44: 12491258.
0
20
40
60
80
100
5 4 3 2 1 0 1 2 3 4 5 6
Years Since Diagnosis
-CellFunction(
%)*
Progressive loss of-cell functionoccurs prior to diagnosis
Metformin (n=159)
Diet (n=110)
Sulfonylurea (n=511)
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35
ADOPT Study: Progression of Hyperglycemia in T2DM
*Significant difference rosiglitazone vs other treatment groups with Hochberg adjustment
Kahn SE, et al. N Engl J Med. 2006; 355: 24272443.
Years
6.0
7.6
8.0
6.8
0 1 2 3 4 5
GlycatedHemoglobin(%)
7.2
0
Rosiglitazone, 0.07 (0.06 to 0.09)
Metformin, 0.14 (0.13 to 0.16)*
Glyburide, 0.24 (0.23 to 0.26)*
6.4
No. of Patients 4012 3308 2991 2583 2197 822
Treatment difference (95% CI)
Rosiglitazone vs metformin, 0.13 (0.22 to 0.05); P=0.002Rosiglitazone vs glyburide, 0.42 (0.50 to 0.33); P
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36
Traditional Current OralTherapies Do Not AddressIslet Cell Dysfunction
TZD=thiazolidinedione; T2DM=type 2 diabetes mellitus
Adapted from DeFronzo RA. Br J Diabetes Vasc Dis. 2003; 3(suppl 1): S24S40.
Pancreatic Islet Dysfunction
Inadequate
glucagon
suppression
(-cell
dysfunction)
Progressive
decline of-cell
function
Insufficient
Insulin secretion
(-cell
dysfunction)
Sulfonylureas
Glinides
TZDsMetformin
Insulin Resistance
(Impaired insulin action)
C t i di ti d P ti f C t T2DM
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37
Contraindicated in renal dysfunction, avoid in liver disease, monitor
renal function
Use with caution in elderly, and in renal and hepatic impairment, watch
for hypoglycemia
TZDs
-Glucosidase
inhibitors
GI=gastrointestinal; SU=sulfonylurea; T2DM=type 2 diabetes mellitus; TZD=thiazolidinedione
From Glucophage [package insert]. Princeton, NJ: Bristol-Myers Squibb Company; 2004; Starlix [package insert]. East Andover, NJ: Novartis
Pharmaceuticals Corporation; 2004; Avandia [package insert]. Research Triangle Park, NC: GlaxoSmithKline; 2006; Byetta [package insert].
San Diego, CA: Amylin Pharmaceuticals, Inc; 2006.
Contraindicated in severe liver disease, congestive heart failure,
monitor liver enzymes
Not recommended in severe renal impairment,
check serum liver enzymes
Metformin
SUs
Meglitinides
Contraindications and Precautions for Current T2DM
Treatments Limit Use
Use with caution in elderly, and in renal and hepatic impairment
Exenatide
injectable Use caution in severe renal or severe GI disease
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38
Metformin1
TZDs1-3
-glucosidase
inhibitors1
CHF=congestive heart failure; GI=gastrointestinal; SU=sulfonylurea; T2DM=type 2 diabetes mellitus; TZD=thiazolidinedioneaRole uncertain1Inzucchi SE. JAMA 2002; 287: 360-372; 2Avandia US Prescribing Information; 3Dormandy JA, et al. Lancet2005; 366: 1279-1289; 4Buse JB, et al.Diabetes Care2004; 27: 2628-2635; 5DeFronzo RA, et al. Diabetes Care2005; 28: 1092-1100; 6Kendall DM, et al. Diabetes Care2005; 28: 1083-1091;
7Kolterman OG, et al. Am J Health-Syst Pharm2005; 62: 173-181; 8Byetta US Prescribing Information.
Incretin
mimetics4-8
Weight gain, edema, CHF, bone fractures (pioglitazone,rosiglitazone)
Myocardial ischemic events (rosiglitazone)
GI effects (flatulence, diarrhea)
GI effects (nausea, diarrhea), lactic acidosis (rare)
GI effects (nausea, vomiting, diarrhea), pancreatitis,
hypoglycemia (in add-on to SU)
SUs1
Meglitinides1
Hypoglycemia, weight gain, hyperinsulinemiaa
Major Adverse Events of Current Treatments for T2DM LimitEfficacy
W i ht G i i C Sid Eff t f Di b t
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39
TZDs46
Metformin + TZD5,6,9
Metformin + SU13
Meglitinides4,7,8
SUs14
Metformin13
Weight Change (kg)OAD Agents
OAD=oral antidiabetic agent; SU=sulfonylurea; TZD=thiazolidinedione
1. Glucophage [package insert]. Princeton, NJ: Bristol-Meyers Squibb Company; 2004. 2. Glucovance [package insert]. Princeton, NJ: Bristol-Meyers
Squibb Company; 2004. 3. Metaglip [package insert]. Princeton, NJ: Bristol-Meyers Squibb Company; 2002. 4. Malone M. Ann Pharmacother. 2005; 39:20462055. 5. Actos [package insert]. Indianapolis, Ind: Eli Lilly and Company; 2004. 6. Avandia [package insert]. Research Triangle Park, NC:
GlaxoSmithKline; 2005. 7. Starlix [package insert]. East Hanover, NJ: Novartis Pharmaceuticals Corporation; 2004. 8. Prandin [package insert].
Princeton, NJ: Novo Nordisk, Inc; 2004. 9. Avandamet [package insert]. Research Triangle Park, NC: GlaxoSmithKline; 2005.
Weight Gain is a Common Side Effect of DiabetesTreatments
-5 -4 -3 -2 -1 0 1 2 3 4 5
-3.80.5
-0.41.7
0.94.6
0.33.0
-0.31.9
0.82.1
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41
Hypoglycemia is Common with SUs
*Hypoglycemia: fingerstick blood glucose measurement 50 mg/dL (2.75 mmol/L)
1. Glucovance [package insert]. Princeton, NJ: Bristol-Myers Squibb Company; 2004. 2. UKPDS Group. Lancet1998; 352: 837853. 3. Draeger KE, et al. Horm Metab Res. 1996; 28: 419425. 4.McGavin JK, et al. Drugs2002;
62; 13571364. 5.Metaglip [package insert]. Princeton, NJ: Bristol-Myers Squibb Company; 2002
Sulfonylureas
Glipizide5Gliclazide4Chlorpropamide2Glyburide1
0
5
10
15
20
25
IncidenceofHypoglycemia(%) 21.3%
15.3%
5%
2.9%*
14%
11%
Glibenclamide3 Glimepiride3
Bl ki g DPP 4 C I I ti A ti it d
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44
DPP-4=dipeptidyl peptidase-4; T2DM=type 2 diabetes mellitus
Adapted from Unger RH. Metabolism. 1974; 23: 581593. Ahrn B. Curr Enzyme Inhib. 2005; 1: 6573.
Insulin
Glucagon
Improved
glycemic control
Incretinactivity
prolonged
Improved islet
function
DPP-4 inhibitor
Insulin
Glucagon
HyperglycemiaIncretin
response
diminished
Further impaired
islet function
T2DM
Blocking DPP-4 Can Improve Incretin Activity andCorrect the Insulin:Glucagon Ratio in T2DM
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45
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46Source: IMS ITMA June 2010 June 2011
Trend of OAD usage in Indonesia 2010 -2011
Oral Anti Diabetic Agents
Data Juni 2010 Juni 2011
Unit
(000)
Share
(%)
Growth
(%)
TOTAL 695,858 100.00 9.01
SULPHONYLUREA 412,510 59.28 7.56
BIGUANIDE 243,620 35.01 12.67
GLITAZONE 4,471 0.64 2.14
A-GLUCOSIDASE INH 27,959 4.02 -2.64
GLINIDE 632 0.09 -50.10
OTHER DRUGS 67 0.01 -19.42
DPP-IV INHIBITOR 6,599 0.95 57.61
JANUVIA 2,457 37.24 51.74GALVUS 2,691 40.78 23.77
GALVUSMET 1,434 21.73 264.88
ONGLYZA 16 0.25 999.00
More patients get OADtreatment vs Last Year
SU and metformin stillpopular in Indonesia
DPP-IV Inhibitor as newcomer is well acceptedby doctors and patients
S li ti P id Si ifi t R d ti i A1C FPG
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BMS/AZ CONFIDENTIAL INFORMATION INTERNAL USE ONLY. DO NOT DUPLICATE, DISTRIBUTE OR USE IN CUSTOMER PRESENTATIONS.47
Saxagliptin Provides Significant Reductions in A1C, FPG,and PPG in Drug-Nave Patients at Week 24 (Monotherapy)
-8.7
6.1
-80
-70
-60
-50
-40
-30
-20
-10
010
20
30
-43.3
-6.0
1.Rosenstock J et al. Curr Med Res Opin. 2009;2401-241.2.AstraZeneca. Data on file, Study CV181011.
-0.46
0.19
-1.2
-1.0
-0.8
-0.6
-0.4
-0.2
0.0
0.2
0.4
0.6
*P
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Saxagliptin + Metformin Provides SignificantReductions in A1C, FPG, and PPG at Week 24
-22.0
-58.2
1.2
-18.0
-80
-70
-60
-50
-40
-30
-20
-10
0
10
SAXA 5 mg + MET Placebo + MET
*P
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Saxagliptin + Metformin helps more patients achieve targetHbA1c compared to placebo plus metformin
1
Percentage of patients reaching HbA1c
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Saxagliptin + Thiazolidinedione Provides SignificantReductions in A1C, FPG, and PPG at Week 24
-0.9
-0.3
-1.2
-1
-0.8
-0.6
-0.4
-0.2
0
*P
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Saxagliptin + TZD results in significant increases in thepercentage of patients reaching HbA1c
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Saxagliptin + Sulfonylurea Provides SignificantReductions in A1C, FPG, and PPG at Week 24
-9.7
0.7
-80
-70
-60
-50
-40
-30
-20
-10
0
10
SAXA 5 mg + SU Placebo + SU
A1C, %* FPG, mg/dL PPG, mg/dL*
n = 250 264 252 265 202 206
Baseline Mean 8.5 8.4 175 174 315 323
AM
FromBaseline
,%
AM
FromBaseline,m
g/dL
*P
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Saxagliptin + sulfonylurea results in significant increases inthe percentage of patients reaching HbA1c
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Low Incidence of HypoglycemiaWith Saxagliptin 5 mg
1. DeFronzo R et al. Diabetes Care. 2009;32:1649-1655.2. Hollander P et al. J Clin Endocrinol Metab. 2009;94:4810-4819.3. Chacra AR et al. Int J Clin Pract. 2009;63:1395-1406.
% of Patients
Add-on to MET1 Add-on to TZD2 Add-on to SU3
SAXA +MET
(n=191)
PBO +MET
(n=179)
SAXA +TZD
(n=186)
PBO +TZD
(n=184)
SAXA +SU
(n=253)
PBO +SU
(n=267)
Reportedhypoglycemia
5.2 5.0 2.7 3.8 14.6 10.1
Confirmedhypoglycemia
0.5 0.6 0 0 0.8 0.7
Combination Therapy With Saxagliptin 5 mg
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Combination Therapy With Saxagliptin 5 mgWas Weight Neutral
Add-on to MET1 Add-on to TZD2 Add-on to SU3
SAXA +MET
(n=191)
PBO +MET
(n=177)
SAXA +TZD
(n=185)
PBO +TZD
(n=182)
SAXA +SU
(n=253)
PBO +SU
(n=265)
Baseline mean(SE), kg
87.27(1.23) 87.45(1.32) 80.5(1.42) 80.9(1.60) 76.2(1.11) 75.6(1.07)
Mean (SE)change frombaseline
0.87(0.23)
0.92(0.22)
1.4(0.23)
0.9(0.20)
0.8(0.13)
0.3(0.14)
SE, standard error.
1. AstraZeneca. Data on file, Study CV181014.
2. AstraZeneca. Data on file, Study CV181013.
3. AstraZeneca. Data on file, Study CV181040.
Adverse Reactions Occurring in 5% of
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% of Patients
SAXA 5 mg Placebo
Add-on therapy and monotherapy* N=882 N=799
Upper respiratory tract infection 7.7 7.6
Urinary tract infection 6.8 6.1
Headache 6.5 5.9
Metformin in drug-nave N=320 N=328
Headache 7.5 5.2
Nasopharyngitis 6.9 4.0
Adverse Reactions Occurring in 5% ofPatients: Pooled Data From Clinical Trials
* Data pooled from 5 placebo-controlled trials: 2 monotherapy trials and 1 add-on combination therapy trial with each of the following: metformin,
thiazolidinedione, or glyburide; table shows 24-week data regardless of glycemic rescue.; data from a 24-week, active-controlled trial of
saxagliptin plus metformin verus placebo plus metformin in treatment-nave patients.
OnglyzaTM [package insert]. Princeton, NJ: Bristol-Myers Squibb Company & Wilmington, DE: AstraZeneca Pharmaceuticals LP; July 2009.
Saxagliptin + Metformin vs Glipizide +
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Saxagliptin + Metformin vs Glipizide +Metformin: 52-Week Noninferiority Trial
*Per-protocol analysis set (primary analysis); Full analysis set, LOCF;Full analysis set, LOCF, oral glucose tolerance test subset.
Gke B, et al. Presented at: 70th Annual Meeting of the American Diabetes Association; June 25-29, 2010. Orlando, FL. Abstract 578-P.
AstraZeneca. Data on file, Study D1680C00001.
-0.74
-0.80
-1.0
-0.8
-0.6
-0.4
-0.2
0.0
SAXA 5 mg + MET SU + MET
A1C, %* FPG, mg/dL PPG, mg/dL
n = 293 293 424 426 18 17
Baseline Mean 7.5 7.5 162 161 285 280
AM
FromBaselin
e,%
AM
FromBaseline,mg/dL
-9.5
-49.2
-15.6
-28.5
-90
-80
-70
-60
-50
-40
-30
-20
-10
0
10
20
Saxagliptin + Metformin vs Sulfonylurea +
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g p yMetformin: Difference in Hypoglycemia
SAXA + MET(N=428)
GLIP + MET(N=430)
Number (%) of patients with ahypoglycemic event
13 (3.0) 156 (36.3)
Difference in proportions vs GLIP + MET
Difference 33.2%
95% 2-sided CI for difference 38.1,28.5
Pvalue
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g p yMetformin: Difference in Weight Gain
SAXA + MET(N=424)
GLIP + MET(N=428)
Baseline mean, kg (SE) 88.7 (0.91) 88.6 (0.95)
Adjusted mean change from baseline 1.1 (0.17) 1.1 (0.17)
Difference vs glipizide + metformin
Mean (SE) 2.2 (0.24)
95% 2-sided CI 2.7,1.7
Pvalue
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Conclusions
There is a need for a large proportion ofpatients to be adjusted to more intensivepharmacotherapy
Traditional oral treatments of T2DM do not
address the key driver of T2DM: the sensitivitythe -cell and -cell to glucose Saxagliptin - DDP-4 inhibitor as monotherapy
or add on, provided statistically and clinically
important reductions in glyceamia parameters(HbA1c, FPG, PPG) with lower incidence of
Hypoglycemia.
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