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Why treat obesity? The entity of diabesity Dr. Ann Verhaegen UZA ZNA Jan Palfijn
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Why treat obesity? The entity of diabesity · 2019. 9. 24. · 6.7x. n=4369. 17.4x. Hu . et al. Arch Intern Med. 2004;164:892–6 *Prediabetes defined as fasting plasma glucose of

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  • Why treat obesity?The entity of diabesity

    Dr. Ann VerhaegenUZAZNA Jan Palfijn

  • Ann Verhaegen is a member of the Advisory Board and/or Speakers Bureau of:– Amgen– AstraZeneca– Boehringer Ingelheim– Eli Lilly & Co– Janssen-Cilag / J & J– Merck Sharp & Dohme– Novo Nordisk– Sanofi

    Conflict of interest disclosures

  • Obesity is a complex and multifactorial disease

    Badman MK & Flier JS. Science 2005;307:1909–14; US Department of Health and Human Services, 1998. NIH Publication No. 98-4083

    Energy intake

    Experienced palatability or

    pleasure

    Hedonic input

    Energy expenditure

    Environment

    Inactive lifestyle, smoking cessation, psychosocial factors

    and endocrine disruptors

    Adipose tissue GutPancreas Genetics Medications

  • Obesity is associated with multiple complications

    Adapted from Sharma AM. Obes Rev. 2010;11:808-9; Guh et al. BMC Public Health 2009;9:88; Luppino et al. Arch Gen Psychiatry 2010;67:220–9; Simon et al. Arch Gen Psychiatry 2006;63:824–30; Church et al. Gastroenterology 2006;130:2023–30; Li et al. Prev Med 2010;51:18–23; Hosler. Prev Chronic Dis 2009;6:A48

    Physical functioning

    Arthrosis

    Sleep apnoea

    IncontinenceCancers

    Stroke

    CVD and risk factors• Stroke• Dyslipidaemia• Hypertension• Coronary artery disease• Congestive heart failure• Pulmonary embolism

    Type 2 diabetesPrediabetes

    Thrombosis

    Gout

    Asthma

    NAFLD

    Gallstones

    Infertility

    Depression

    Anxiety

  • Natural history of type 2 diabetes

    Genetic susceptibility

    Insulin resistance ↑

    IGT

    Type 2 diabetes

    Obesity

    Physicalinactivity

    Early life events:Low birth weightFormula feeding

    Compensatoryinsulin secretion

    Reducedβ-cellfunction

    Intrauterine nutritionInherited β-cell defectGlucotoxicityLipotoxicity

  • Impaired fasting glucose and glucose intolerance lead to an increased risk for T2DM

    Gabir et al. Diabetes Care 2000;23:1108–12;

  • Individuals with obesity and prediabetes are at 17 times greater risk of type 2 diabetes

    20Re

    lativ

    e ris

    k fo

    r T2D

    vs

    heal

    thy

    indi

    vidu

    als

    0Obesity

    5

    10

    15

    Prediabetes* Obesity and prediabetes*

    4.9x6.7x

    17.4xn=4369

    Hu et al. Arch Intern Med 2004;164:892–6

    *Prediabetes defined as fasting plasma glucose of 110 mg/dL (6.1 mmol/L) and 2-h plasma glucose less than 140 mg/dL (7.8 mmol/L); impaired glucose regulation: fasting plasma glucose concentration 110–126 mg/dL (6.1–6.99 mmol/L) and/or 2-h plasma glucose concentration 140–200 mg/dL(7.8–11.09 mmol/L). RR, relative risk; T2D, type 2 diabetes

  • Excess weight is a risk factor for type 2 diabetes (Nurses Health Study)

    0

    20

    40

    60

    100

    Relative risk of type 2 diabetes

    80

  • Relative risk for diabetes: weight at age 18 and weight gain till 32 years

    BMI, body mass indexColditz GA et al. Ann Intern Med 1995;122:481–6

    Rela

    tive

    risk

    20

    20

    40

    60

    80

    29.0

    BMI at age 18

    Weight gain 18–32 years (kg)

  • Environmental and lifestyle factorsin obesity and diabetes

  • Independent of age, exercise levels, sedentary behaviours, especially TV watching, were associated with significantly elevated risk of obesity and type 2 diabetes

    Sedentary behaviours increase risk of obesity

    Hu FB et al. JAMA 2003;289:1785–91

    Each 2-hr/day increment in TV watching was associated with 23% increase in obesity and

    14% increase in risk of diabetes

  • Pollutants and risk of diabetes, metabolic syndrome and obesity

    Lim JS et al. Diabetes Care 2008;31:1802–7; Hectors TL et al. Diabetologia 2011;54:1273–90

  • Sleep restriction and risk of obesity

    CI, confidence interval; OR, odds ratioWu Y et al. Sleep Med 2014;15:1456–62; Van Cauter E & Knutson KL. Eur J Endocrinol 2008;159 Suppl 1:S59–66

    Chaput JP

    Kobayashi D

    Sayón-Orea C

    Vgontzas AN

    Stranges S (female)

    Nagai M

    Patel SR

    Itani O

    Itani O

    Watanabe M (male)

    Watanabe M (female)

    Xiao Q (male)

    Xiao Q (female)

    Nishiura C (male)

    Overall (I-squared = 66.3%, p=0.000

    NOTE: Weights are from random effects analysis

    Author Year

    2010

    2012

    2013

    2013

    2008

    2013

    2006

    2011

    2011

    2010

    2010

    2013

    2013

    2010

    OR (95% CI)

    2.97 (1.68, 4.34)

    1.50 (1.10, 2.00)

    1.94 (1.19, 3.18)

    1.08 (0.48, 2.41)

    1.05 (0.60, 1.82)

    0.96 (0.59, 1.57)

    1.15 (1.04, 1.27)

    1.20 (1.09, 1.32)

    1.71 (1.11, 2.87)

    1.91 (1.36, 2.67)

    0.35 (0.05, 2.69)

    1.45 (1.06, 1.99)

    1.37 (1.04, 1.79)

    2.46 (1.41, 4.31)

    1.45 (1.25, 1.67)

    0.5 1 2 5

    Sleep duration

  • Mechanisms linking obesity to diabetes, CVD and NASH

  • Prevalence of diabetes according to waist & BMI (worldwide IDEA study)

    Circulation. 2007 Oct 23;116(17):1942-51

  • Nat Rev Dis Primers. 2017 Jun 15;3:17034.

  • A link between obesity, inflammation and cardiovascular disease: the role of ectopic fat

    CRP, c-reactive protein; ICAM-1, intercellular adhesion molecule 1; IL-6, interleukin 6; LDL-ox, oxidised low-density lipoprotein; MCP-1, monocyte chemoattractant protein 1; NEFA, non-esterified fatty acids; PAI-1, plasminogen activator inhibitor-1; RBP-4, retinol binding protein 4; ROS, reactive oxygen species; TNF-α, tumor necrosis factor α; VLDL, very low-density lipoproteinVan Gaal LF et al. Nature 2006;444:875–80

  • Anstee QM et al Nat Rev Gastroenterol Hepatol 2013

    From NAFLD or NASH to diabetes and CVD

  • Intestinal microbiota can alter human cardio-metabolism.

    Sarah Vinjé et al. Eur Heart J 2014;35:883-887

  • Microbial Modification of Bile Acids and Its Metabolic Effect

    Trends Endocrinol Metab. 2018 Jan;29(1):31-41

  • Excess adiposity leads to major risk factors and common chronic diseases

    CHD, coronary heart disease; CHF, coronary heart failure; CKD, chronic kidney disease; GERD, gastroesophageal reflux disease; NAFLD, non-alcoholic fatty liver disease, NASH, non-alcoholic steatohepatitis; OSA, obstructive sleep apnoea; T2D, type 2 diabetesHeymsfield SB & Wadden TA. N Engl J Med 2017;376:254–66

    Adiposity

    Adipokine synthesis

    Adipose tissue macrophages and other inflammatory cells

    Pro-inflammatory cytokines

    Impaired insulin signalling and insulin resistance

    Insulin

    T2D

    Lipid production

    Hydrolysis of triglycerides

    NAFLDNASH

    Cirrhosis

    Release of fatty acids

    Lipotoxicity Dyslipidaemia

    CHD

    CHFStrokeCKD

    Activity of the sympathetic nervous

    system

    Activity of the renin-angiotensin-aldosterone

    system

    Mechanical stress

    Systemic and pulmonary

    hypertension

    Pharyngeal soft tissue

    Mechanical load on joints

    Intra-abdominal pressure

    Renal compression

    GERDBarrett’s oesophagus

    Oesophageal adenocarcinoma

    OsteoarthritisOSA

  • Can weight loss prevent or even cure diabetes?

  • CV, cardiovascular; NAFLD, non-alcoholic fatty liver disease1. Van Gaal L et al. Int J Obes 1989;13 Suppl 2:47–9; 2. Knowler WC et al. N Engl J Med 2002;346:393–403; 3. Dattilo AM & Kris-Etherton PM. Am J Clin Nutr 1992;56:320–8; 4. Wing RR et al. Diabetes Care 2011;34:1481–6; 5. Dixon JB et al. Hepatology 2004;39:1647-54; 6. Patel AA et al. J Clin Gastroenterol 2009;43:970-4; 7. Warkentin LM et al. Obes Rev 2014;15:169–82; 8. Wright F et al. J Health Psychol2013;18:574–86; 9. Foster GD et al. Arch Intern Med 2009;169:1619–26; 10. Kuna ST et al. Sleep 2013;36:641–9; 11. Li G et al. Lancet Diabetes Endocrinol 2014;2:474–80

    What are the effects of weight loss?

    Benefits of 5–10% weight loss

    Reduction in CV mortality11

    Improvements in severity of

    obstructive sleep apnoea9,10

    Improvements in blood lipid profile3

    Reduction in risk of type 2

    diabetes1,2

    Improvements in health-related quality of life7,8

    Improvements in blood pressure4

    Improvements in abnormal NAFLD liver histology5,6

  • Years are duration of trial or follow-up. Data are versus placebo and not directly comparable due to differences in study designDPP, Diabetes Prevention Programme; DPPOS, Diabetes Prevention Programme Outcomes Study; DPS, Diabetes Prevention Study; T2D, type 2 diabetes1. Tuomilehto et al. N Engl J Med 2001;344:1343–50; 2. Lindström et al. Lancet 2006;368:1673–9; 3. Knowler et al. N Engl J Med 2002;346:393–403; 4. Knowler et al. Lancet 2009;374:1677–86; 5. Li et al. Lancet 2008;371:1783–9

    Weight loss can reduce progression to T2D

    Lifestyle intervention trials% reduced risk of progression from prediabetes to T2D

    Finnish DPS1,2

    6 years

    58%

    10 years

    34%

    DPP/DPPOS3,4

    4 years

    58%

    Da Qing5

    6 years

    51%

    20 years

    43%39%

    13 years

  • Look AHEAD: NO cardiovascular benefit, unless …

    Look AHEAD, NEJM, 2013

  • Look AHEAD Research Group. Lancet Diabetes Endocrinol. 2016. [Epub ahead of print]

    Weight-loss responders have improved CV outcomesA post-hoc analysis of the Look AHEAD randomised clinical trial

    Hazard ratio

    Primary outcome - 21% lowerCV death, non-fatal acute MI, non-fatal stroke, or admission to hospital for angina

    Secondary outcome - 24% lowerAs above plus CABG, carotid endartectomy, PCI,hospitalisation for CHF, peripheral vascular disease, or total mortality

    p=0.034

    p=0.003

    Responder: lost at least 10% of their bodyweight in the 1st year of the study

    Favors controlFavors responders

    N=4406 participants with T2D to an intensive lifestyle intervention or diabetes support and education

    Grafiek1

    0.64

    0.79

    0.98

    0.63

    0.76

    0.91

    Y-Values

    1.5

    1.5

    1.5

    0.5

    0.5

    0.5

    Sheet1

    X-ValuesY-Values

    0.641.5

    0.791.5

    0.981.5

    0.630.5

    0.760.5

    0.910.5

  • 1. Increase the number of patients responding to lifestyle modification

    2. Increase the magnitude of the response

    3. Increase the duration of the response

    Pharmacotherapy helps with adherence to a lifestyle change

    Adapted from Lau DCW et al. CMAJ 2007;176:S1–S13

    OverweightBMI ≥25 kg/m2

    Obese Class 1 BMI ≥30 kg/m2

    Obese Class 2BMI ≥35 kg/m2

  • Liraglutide 3.0 mg: Weight loss and progression to T2DMSCALE Obesity and Prediabetes: 3 years

    Full analysis set, fasting-visit data only. Line graphs are observed means (±SE).

    le Roux CW, Van Gaal L et al. Lancet 2017 Apr 8;389(10077):1399-1409.

    -2.1%

    -5.2%

    Chan

    ge in

    wei

    ght (

    %)

    Off-drug follow-up Off-drug follow-upLiraglutide 3.0 mg Placebo

    Week

    -7.1%

    -2.7%

    Part

    icip

    ants

    (%)

    80% risk reduction 47

    31

    172

    46

    26

    *Derived from the primary Weibull analysis. ETD, estimated treatment difference; LOCF, last observation carried forward; SCALE, Satiety and Clinical Adiposity – Liraglutide Evidence in individuals with and without diabetes; SE, standard error; T2D, type 2 diabetes; WL, weight loss.

    Week

    Full analysis set. Numbers in the figure correspond to the accumulated number of diagnosed participants.

    -9.2%

    -3.5%

    Grafiek1

    112

    2.812.3

    2.812.3

    12.317.1

    12.317.1

    17.617.8

    17.617.8

    23.865.8

    23.865.8

    34.566.2

    34.566.2

    3577.7

    3577.7

    52.878.1

    52.878.1

    5379

    5379

    53.290.4

    53.290.4

    53.4103

    53.4103

    65.3113.4

    65.3113.4

    65.9113.7

    65.9113.7

    66.1113.9

    66.1113.9

    78114.9

    78114.9

    78.3124.8

    78.3124.8

    78.5126.4

    78.5126.4

    78.7137.8

    78.7137.8

    79.4139.3

    79.4139.3

    90149.6

    90149.6

    101.6149.9

    101.6149.9

    102.1158.1

    102.1158.1

    102.3158.3

    102.3158.3

    102.7158.7

    102.7158.7

    125.4161.7

    125.4161.7

    125.8162.8

    125.8162.8

    125.8170.1

    125.8170.1

    126.3170.5

    126.3170.5

    126.6172.5

    126.6172.5

    126.9

    126.9

    137.7

    137.7

    138.4

    138.4

    150.7

    150.7

    151.6

    151.6

    152.9

    152.9

    158

    158

    158.2

    158.2

    158.4

    158.4

    158.7

    158.7

    169.7

    169.7

    Placebo

    Liraglutide 3.0 mg

    0.12

    0.08

    0.12

    0.08

    0.26

    0.15

    0.26

    0.15

    0.41

    0.22

    0.41

    0.22

    0.56

    0.29

    0.56

    0.29

    1.06

    0.39

    1.06

    0.39

    1.22

    0.48

    1.22

    0.48

    1.41

    0.58

    1.41

    0.58

    1.6

    0.79

    1.6

    0.79

    2

    0.89

    2

    0.89

    2.18

    1

    2.18

    1

    2.37

    1.12

    2.37

    1.12

    2.58

    1.22

    2.58

    1.22

    2.82

    1.35

    2.82

    1.35

    3.22

    1.45

    3.22

    1.45

    3.66

    1.57

    3.66

    1.57

    4

    1.69

    4

    1.69

    4.12

    1.92

    4.12

    1.92

    4.33

    2.04

    4.33

    2.04

    4.56

    2.16

    4.56

    2.16

    5.06

    2.29

    5.06

    2.29

    5.25

    2.42

    5.25

    2.42

    5.6

    2.54

    5.6

    2.54

    6.1

    2.67

    6.1

    2.67

    6.36

    2.79

    6.36

    2.79

    6.64

    2.93

    6.64

    2.93

    6.94

    3.03

    6.94

    3.03

    7.2

    3.18

    7.2

    3.18

    7.48

    3.3

    7.48

    3.3

    7.8

    3.72

    7.8

    8.04

    8.04

    8.32

    8.32

    8.62

    8.62

    8.92

    8.92

    9.22

    9.22

    9.51

    9.51

    9.82

    9.82

    10.2

    10.2

    10.42

    10.42

    10.73

    10.73

    11.02

    Sheet1

    X-ValuesY-Values

    10.12

    2.80.12

    2.80.26

    12.30.26

    12.30.41

    17.60.41

    17.60.56

    23.80.56

    23.81.06

    34.51.06

    34.51.22

    351.22

    351.41

    52.81.41

    52.81.6

    531.6

    532

    53.22

    53.22.18

    53.42.18

    53.42.37

    65.32.37

    65.32.58

    65.92.58

    65.92.82

    66.12.82

    66.13.22

    783.22

    783.66

    78.33.66

    78.34

    78.54

    78.54.12

    78.74.12

    78.74.33

    79.44.33

    79.44.56

    904.56

    905.06

    101.65.06

    101.65.25

    102.15.25

    102.15.6

    102.35.6

    102.36.1

    102.76.1

    102.76.36

    125.46.36

    125.46.64

    125.86.64

    125.86.94

    125.86.94

    125.87.2

    126.37.2

    126.37.48

    126.67.48

    126.67.8

    126.97.8

    126.98.04

    137.78.04

    137.78.32

    138.48.32

    138.48.62

    150.78.62

    150.78.92

    151.68.92

    151.69.22

    152.99.22

    152.99.51

    1589.51

    1589.82

    158.29.82

    158.210.2

    158.410.2

    158.410.42

    158.710.42

    158.710.73

    169.710.73

    169.711.02

    120.08

    12.30.08

    12.30.15

    17.10.15

    17.10.22

    17.80.22

    17.80.29

    65.80.29

    65.80.39

    66.20.39

    66.20.48

    77.70.48

    77.70.58

    78.10.58

    78.10.79

    790.79

    790.89

    90.40.89

    90.41

    1031

    1031.12

    113.41.12

    113.41.22

    113.71.22

    113.71.35

    113.91.35

    113.91.45

    114.91.45

    114.91.57

    124.81.57

    124.81.69

    126.41.69

    126.41.92

    137.81.92

    137.82.04

    139.32.04

    139.32.16

    149.62.16

    149.62.29

    149.92.29

    149.92.42

    158.12.42

    158.12.54

    158.32.54

    158.32.67

    158.72.67

    158.72.79

    161.72.79

    161.72.93

    162.82.93

    162.83.03

    170.13.03

    170.13.18

    170.53.18

    170.53.3

    172.53.3

    172.53.72

    Grafiek1

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    -1.96-0.790.03533111480.03533111480.05067128040.0506712804

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    56560.20050504410.20050504410.26088281380.2608828138

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    1721720.29756941680.29756941680.40640535490.4064053549

    Liraglutide 3.0 mg

    Placebo

    0

    0

    -6.87

    -2.64

    -8.23

    -2.9

    -9.06

    -3.23

    -9.21

    -3.52

    -8.94

    -3.44

    -8.61

    -3.17

    -8.63

    -3.36

    -8.53

    -3.43

    -8.05

    -3.26

    -7.6

    -3

    -7.41

    -2.86

    -7.24

    -2.74

    -7.09

    -2.69

    -5.24

    -2.08

    Sheet1

    Liraglutide 3.0 mgPlaceboLira 3.0 mg LOCFPlacebo LOCFLira 3.0 SEMPlacebo SEM

    000

    -1.96-0.790.03533111480.0507

    -3.29-1.190.0477166620.0684

    -5.05-1.880.06976589970.1001

    16-6.87-2.640.10420687770.1504

    -7.44-2.760.12079892470.1683

    28-8.23-2.90.14354579950.2013

    40-9.06-3.230.17110095950.2367

    -9.26-3.460.19315584390.2530

    56-9.21-3.520.20050504410.2609

    -9.02-3.640.21458009080.2806

    68-8.94-3.440.21904669890.2871

    -8.68-3.30.22860022860.3035

    80-8.61-3.170.22881258890.3051

    -8.69-3.350.23829918950.3184

    92-8.63-3.360.24451030830.3249

    -8.65-3.520.24796619540.3340

    104-8.53-3.430.25110130310.3444

    -8.28-3.330.25881066670.3508

    116-8.05-3.260.26494971410.3533

    -7.79-3.010.27371877680.3583

    128-7.6-30.27386589810.3662

    -7.49-2.940.28338034010.3726

    140-7.41-2.860.28689730240.3895

    152-7.24-2.740.29611350040.3865

    160-7.09-2.69-6.14-1.890.30587640450.40010.19160.2314

    -6.35-2.80.30246881460.3964

    172-5.24-2.080.29756941680.4064

  • Caiazzo R and Patou F J Visc Surg 2013

    Different surgical procedures?

  • Sjöström L et al N Engl J Med 2004

    Reduction of incidence and remission from diabetes in SOS study

  • Effect of ‘metabolic’ surgery – a cure for diabetes?

    74 %

    30 %

    Sjöström. JAMA. 2014;311(22):2297-2304.

  • Effect of ‘metabolic’ surgery by duration

    Sjöström. JAMA. 2014;311(22):2297-2304.

  • Schauer P., et al. NEJM 2012

    Reduction of diabetes medication

  • Long-Term Mortality After Gastric Bypass Surgery

    % re

    duce

    d/10

    ,000

    per

    son-

    yrs

    40%56%

    60%92%

    All CauseMortality

    CoronaryArtery

    DiseaseCancer Diabetes

    Adams TD, et al. NEJM 2007;357:753

  • Cumulative incidence of diabetic complications after bariatric surgery

    Sjöström L., et al. JAMA. 2014;311(22):2297-2304.

  • Cumulative incidence of diabetic complications by disease duration

    Sjöström L., et al. JAMA. 2014;311(22):2297-2304.

  • Bariatric surgery vs conventional therapy in Type 2 diabetesSTAMPEDE Trial

    RCT: conventional ↔ Gastric bypass ↔ Sleeve gastrectomie

    Schauer, et al. NEJM 2012;366:1567-76

    Age: 49±8j BMI 36.4kg/m²

    Duration 8.5±5j

    HbA1c 9.2% ± 1.5Insulin use 43%

    - 5 kg - 30 kg - 25 kg

    34%: BMI

  • Schauer PR et al for the STAMPEDE Investigators NEJM 2014

    Stampede: surgery vs medical therapy 3 y outcome data

  • J. Holst et al. Surg Obes Relat Dis. 2018 May; 14(5): 708–714.

    Mechanisms in bariatric surgery: Gut hormones, diabetes resolution, and weight loss

  • J Intern Med. 2016 Nov; 280(5): 476–486.

    Are there weight loss-independent therapeutic effects of upper gastrointestinal bypass?

  • Take home messages

    • Obesity and diabetes are closely linked

    – Common environmental and lifestyle triggers

    – Pathogenetic mechanisms link “diabesity” with NASH, CVD and other common diseases

    • Diabetes can be prevented by weight loss

    • Diabetes remission can be attained through metabolic surgery

    – Mechanisms involved give rise to possible future medical therapies

  • 44Dank aan Prof. Van Gaal voor het ter beschikking stellen van zijn slides

    Why treat obesity?�The entity of diabesityConflict of interest disclosuresObesity is a complex and multifactorial diseaseObesity is associated with multiple complicationsNatural history of type 2 diabetesImpaired fasting glucose and glucose intolerance lead to an increased risk for T2DMIndividuals with obesity and prediabetes are at �17 times greater risk of type 2 diabetesExcess weight is a risk factor for type 2 diabetes �(Nurses Health Study)Relative risk for diabetes: weight at age 18 and weight gain till 32 yearsEnvironmental and lifestyle factors�in obesity and diabetesSedentary behaviours increase risk of obesityPollutants and risk of diabetes, metabolic syndrome and obesitySlide Number 13Sleep restriction and risk of obesityMechanisms linking obesity to diabetes, CVD and NASHPrevalence of diabetes according to waist & BMI �(worldwide IDEA study)Slide Number 17A link between obesity, inflammation and cardiovascular disease: the role of ectopic fatSlide Number 19Slide Number 20Slide Number 21Excess adiposity leads to major risk factors and common chronic diseasesCan weight loss prevent or even cure diabetes? �What are the effects of weight loss?Weight loss can reduce progression to T2DLook AHEAD: NO cardiovascular benefit, unless …Weight-loss responders have improved CV outcomes�A post-hoc analysis of the Look AHEAD randomised clinical trialPharmacotherapy helps with adherence to a lifestyle changeLiraglutide 3.0 mg: Weight loss and progression to T2DM�SCALE Obesity and Prediabetes: 3 yearsSlide Number 30Slide Number 31Effect of ‘metabolic’ surgery – a cure for diabetes? Effect of ‘metabolic’ surgery by durationSlide Number 34Long-Term Mortality After Gastric Bypass SurgeryCumulative incidence of diabetic complications after bariatric surgeryCumulative incidence of diabetic complications by disease duration �Bariatric surgery vs conventional therapy in Type 2 diabetes�STAMPEDE TrialSlide Number 39Slide Number 40Slide Number 41Slide Number 42Take home messagesSlide Number 44