Cura del diabete: non solo glicemia - Giuseppe Penno Dipartimento di Medicina Clinica e Sperimentale - Briefing Studio
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Cura del diabete: non solo glicemia Giuseppe Penno Dipartimento di Medicina Clinica e Sperimentale Azienda Ospedaliera Universitaria di Pisa
Type 2 diabetes is increasingly prevalent Globally, 387 million people At least 68% of people >65 years are living with diabetes1 with diabetes die of heart disease2 Mortality risk associated with diabetes (n=820,900)3 3 Hazard ratio (95% CI) (diabetes vs no diabetes) 2 1 This will rise to 0 CV death All-cause 592 million by mortality 20351 1. IDF Diabetes Atlas 6th Edition 2014 http://www.idf.org/diabetesatlas; 2. Centers for Disease Control and Prevention 2011; 3. Seshasai et al. N Engl J Med 2011;364:829-41
Diabetes and cause-specific mortality Evidence from 54,855 deaths in 690,700 adults between ages 35-89 in 44 studies from the Prospective Studies Collaboration (13 million person-years of follow-up) 3 2,75 2,37 2,47 2,5 2 1,9 1,75 1,57 HR 1,5 1,13 1 0,5 0 Mortality Gnatiuc L et al., EASD 2015
Diabetes is associated with significant loss of life years Men Women 7 7 Non-vascular 6 deaths 6 Vascular 5 5 Years of life lost deaths 4 4 3 3 2 2 1 1 0 0 0 40 50 60 70 80 90 0 40 50 60 70 80 90 Age (years) Age (years) On average, a 50-year-old individual with diabetes and no history of vascular disease . will die 6 years earlier compared to someone without diabetes Seshasai et al. N Engl J Med 2011;364:829-41
Questions addressed in RCT of Type 2 diabetes treatment Question 1: Question 2: Does treatment directed Does it matter which diabetes lowering of HbA1c (below 6.0 to treatment is used to lower 6.5%) reduce endpoints HbA1c? UKPDS P UKPDS P PROactive S Long-term follow-up RECORD P, S ACCORD P, S Look AHEAD P, S ORIGIN P, S ADVANCE P, S SAVOR-TIMI 53 P, S EXAMINE S VADT P, S TECOS S ELIXA S ORIGIN P, S EMPA-REG S P, primary prevention; S, secondary prevention
First coprimary outcome: death from CV causes, nonfatal MI, nonfatal stroke; second Higher in Standard Therapy Higher in Intensive Therapy coprimary outcome: + revascularization, hospitalization for HF The ORIGIN Trial Investigators, N Engl J Med 367: 319-328, 2012
1. Numeri che contano 2. Trattamento intensivo della glicemia 3. Non solo glicemia: quale trattamento (parte 1)
Questions addressed in RCT of Type 2 diabetes treatment Question 1: Question 2: Does treatment directed Does it matter which diabetes lowering of HbA1c (below 6.0 to treatment is used to lower 6.5%) reduce endpoints HbA1c? UKPDS P UKPDS P PROactive S Long-term follow-up RECORD P, S ACCORD P, S Look AHEAD P, S ORIGIN P, S ADVANCE P, S SAVOR-TIMI 53 P, S EXAMINE S VADT P, S TECOS S ELIXA S ORIGIN P, S EMPA-REG S P, primary prevention; S, secondary prevention
Pioglitazone and Risk of Cardiovascular Events in Patients with Type 2 Diabetes Mellitus A Meta-Analysis of Randomized Trials 19 trials enrolling 16,390 patients (1 year, 10 trials) Control Death, MI, stroke -18% Pioglitazone Lincoff AM et al, JAMA 298: 1180-1188, 2007
∆% HbA1c 0.22% The Look AHEAD Research Group, N Engl J Med 369: 145-154, 2013
Follow-up-time for each patient was at least 12 months
1. Numeri che contano 2. Trattamento intensivo della glicemia 3. Non solo glicemia: quale trattamento (parte 1) 4. Non solo glicemia: quale trattamento (parte 2)
Questions addressed in RCT of Type 2 diabetes treatment Question 1: Question 2: Does treatment directed Does it matter which diabetes lowering of HbA1c (below 6.0 to treatment is used to lower 6.5%) reduce endpoints HbA1c? UKPDS P UKPDS P PROactive S Long-term follow-up RECORD P, S ACCORD P, S Look AHEAD P, S ORIGIN P, S ADVANCE P, S SAVOR-TIMI 53 P, S EXAMINE S VADT P, S TECOS S ELIXA S ORIGIN P, S EMPA-REG S P, primary prevention; S, secondary prevention
∆% HbA1c 0.30% Scirica BM, et al., The SAVOR-TIMI 53 Investigators, N Engl J Med 369: 1317-1326, 2013
∆% HbA1c 0.36% White WB, et al., The EXAMINE Investigators, N Engl J Med 369: 1327-1335, 2013
Green JB et al. NEJM 2015; DOI: 10.1056/NEJMoa1501352
Primary Composite Cardiovascular Outcome CV death, nonfatal MI, nonfatal stroke, hospitalization for unstable angina PP Analysis for Non-inferiority Green JB et al. NEJM 2015; DOI: 10.1056/NEJMoa1501352
Primary Composite Cardiovascular Outcome Numbers of patients with events Sitagliptin Placebo n=7332 n=7339 Primary composite CV Outcome 839 (11.4%) 851 (11.6%) 4.06 per 100 pyrs 4.17 per 100 pyrs ITT HR=0.98 (0.89, 1.08), p=0.65 Individual components • CV death 311 (4.2%) 291 (4.0%) • Nonfatal MI 275 (3.8%) 286 (3.9%) • Nonfatal stroke 145 (2.0%) 157 (2.1%) • Hospitalization for unstable angina 108 (1.5%) 117 (1.6%) Green JB et al. NEJM 2015; DOI: 10.1056/NEJMoa1501352
All cause mortality Sitagliptin n=7332 Placebo n=7339 All-cause mortality 547 (7.5%) 537 (7.3%) 2.48 per 100 pyrs 2.45 per 100 pyrs ITT HR=1.01 (0.90, 1.14), p=0.88 Non-cardiovascular 167 (2.3%) 171 (2.3%) Unknown* 109 (1.5%) 107 (1.5%) Cardiovascular • Sudden cardiac death 72 (1.0%) 73 (1.0%) • Acute myocardial infarction 21 (0.3%) 27(0.4%) • Heart failure 28 (0.4%) 35 (0.5%) • Stroke 29 (0.4%) 36 (0.5%) • Other cardiovascular 8 (0.1%) 5 (0.1%) • Presumed cardiovascular 113 (1.5%) 83 (1.1%) Green JB et al. NEJM 2015; DOI: 10.1056/NEJMoa1501352
Hospitalization for heart failure * Adjusted for history of heart failure at baseline Green JB et al. NEJM 2015; DOI: 10.1056/NEJMoa1501352
Hospitalization for heart failure Numbers of patients with events Sitagliptin Placebo n=7332 n=7339 Hospitalization for heart failure† 228 (3.1%) 229 (3.1%) 1.07 per 100 pyrs 1.09 per 100 pyrs ITT HR=1.00 (0.83, 1.20), p=0.98 Hospitalization for heart failure or 538 (7.3%) 525 (7.2%) cardiovascular death† 2.54 per 100 pyrs 2.50 per 100 pyrs ITT HR=1.02, (0.90, 1.15), p=0.74 * Adjusted for history of heart failure at baseline † Prespecified analyses Green JB et al. NEJM 2015; DOI: 10.1056/NEJMoa1501352
Primary Composite Cardiovascular Outcome CV death, nonfatal MI, nonfatal stroke, hospitalization for unstable angina Green JB et al. NEJM 2015; DOI: 10.1056/NEJMoa1501352
Recent trials of newer glucose-lowering agents have been neutral on the primary CV outcome HR: 1.0 SAVOR-TIMI HR: 0.98 (95% CI: 0.89, 1.12) (95% CI: 0.88, 1.09) TECOS 53 HR: 0.96 (95% CI: UL ≤1.16) EXAMINE 2013 2014 2015 HR: 1.02 (95% CI: 0.89, 1.17) ELIXA DPP-4 inhibitors* Lixisenatide EMPA-REG OUTCOMEÄ Empagliflozin CV, cardiovascular; HR, hazard ratio; DPP-4, dipeptidyl peptidase-4 *Saxagliptin, alogliptin, sitagliptin Adapted from Johansen OE. World J Diabetes 2015;6:1092-96
Number needed to treat (NNT) to prevent one death across landmark trials in patients with high CV risk Simvastatin1 Ramipril2 Empagliflozin for 5.4 years for 5 years for 3 years High CV risk High CV risk T2DM with high CV risk 5% diabetes, 26% 38% diabetes, 46% 92% hypertension hypertension hypertension Pre-ACEi/ARB era >80% ACEi/ARB Pre-statin era 75% statin 1994 2000 2015 1. 4S investigator. Lancet 1994; 344: 1383-89, http://www.trialresultscenter.org/study2590- 4S.htm; 2. HOPE investigator N Engl J Med 2000;342:145-53, http://www.trialresultscenter.org/study2606-HOPE.htm
1. Numeri che contano 2. Trattamento intensivo della glicemia 3. Non solo glicemia: quale trattamento (parte 1) 4. Non solo glicemia: quale trattamento (parte 2) 5. Tornando alla glicemia: l’inerzia terapeutica
TECOS CV Safety Trial: Time-to-Initiation of Additional AHA Therapy Sitagliptin Placebo Intention-to-Treat Population N=7,332 N=7,339 HR (95% CI) P-value Initiation of next antihyperglycemic medication, 1,591 (21.7); 2,046 (27.9); 0.72 (0.68, 0.77)
TECOS CV Safety Trial: Time-to-Initiation of Insulin Therapy Sitagliptin Placebo Intention-to-Treat Populationa N=5,608 N=5,655 HR (95% CI) P-value Initiation of insulin , 542 (9.7) 744 (13.2); 0.70 (0.63, 0.79)
1. Numeri che contano 2. Trattamento intensivo della glicemia 3. Non solo glicemia: quale trattamento (parte 1) 4. Non solo glicemia: quale trattamento (parte 2) 5. Tornando alla glicemia: l’inerzia terapeutica 6. Veramente oltre la glicemia
Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990-2013: a systematic analysis for the Global Burden of Disease study 2013 GBD 2013 Risk Factors Collaborators. Lancet, september 11, 2015
Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990-2013: a systematic analysis for the Global Burden of Disease study 2013 Ten leading risk factors in terms of attributable DALYs in 2013 for both sexes combined 1 2 3 4 5 6 7 8 9 10 Childhood Household Blood Fasting Alcohol Unsafe Unsafe Global Smoking BMI under- air Fruit pressure nutrition glucose use water sex pollution GBD 2013 Risk Factors Collaborators. Lancet, september 11, 2015
Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990-2013: a systematic analysis for the Global Burden of Disease study 2013 Ten leading risk factors in terms of attributable DALYs in 2013 for both sexes combined 1 2 3 4 5 6 7 8 9 10 Childhood Household Blood Fasting Alcohol Unsafe Unsafe Global Smoking BMI under- air Fruit pressure nutrition glucose use water sex pollution Blood Alcohol Fasting Total Physical Developed BMI Smoking GFR Sodium Fruit pressure use glucose chol. activity GBD 2013 Risk Factors Collaborators. Lancet, september 11, 2015
Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990-2013: a systematic analysis for the Global Burden of Disease study 2013 Ten leading risk factors in terms of attributable DALYs in 2013 for both sexes combined 1 2 3 4 5 6 7 8 9 10 Childhood Household Blood Fasting Alcohol Unsafe Unsafe Global Smoking BMI under- air Fruit pressure nutrition glucose use water sex pollution Blood Alcohol Fasting Total Physical Developed BMI Smoking GFR Sodium Fruit pressure use glucose chol. activity Western Blood Fasting Alcohol Total Physical Smoking BMI GFR Sodium Fruit Europe pressure glucose use chol. activity GBD 2013 Risk Factors Collaborators. Lancet, september 11, 2015
Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990-2013: a systematic analysis for the Global Burden of Disease study 2013 Ten leading risk factors in terms of attributable DALYs in 2013 for both sexes combined 1 2 3 4 5 6 7 8 9 10 Childhood Household Blood Fasting Alcohol Unsafe Unsafe Global Smoking BMI under- air Fruit pressure nutrition glucose use water sex pollution Blood Alcohol Fasting Total Physical Developed BMI Smoking GFR Sodium Fruit pressure use glucose chol. activity Western Blood Fasting Alcohol Total Physical Smoking BMI GFR Sodium Fruit Europe pressure glucose use chol. activity Bone Blood Fasting Total Alcohol Physical Italy BMI Smoking GFR Sodium mineral pressure glucose chol. use activity density GBD 2013 Risk Factors Collaborators. Lancet, september 11, 2015
Ferguson LD and Sattar N. Diabetes, Obesity and Metabolism 15: 387-391, 2013
Ferguson LD and Sattar N. Diabetes, Obesity and Metabolism 15: 387-391, 2013
Efficacy of cholesterol-lowering therapy in 18.686 people with diabetes in 14 randomised trials of statins: a meta-analysis. Proportional effects on major vascular events per mmol/L reduction in LDL cholesterol (39 mg/dl) -22% -21% -21% CTT Collaborators, Lancet 371: 117-125, 2008
Efficacy of cholesterol-lowering therapy in 18.686 people with diabetes in 14 randomised trials of statins: a meta-analysis. Proportional effects on major vascular events per mmol/L reduction in LDL cholesterol (39 mg/dl) by baseline lipid profile -21% CTT Collaborators, Lancet 371: 117-125, 2008
IMPROVE-IT A large scale (18,144 participants), multi-center RCT of high risk post Acute Coronary Syndrome (ACS) patients
IMPROVE-IT Individual Cardiovascular Endpoints and CVD/MI/Stroke
IMPROVE-IT Major Pre-specified Subgroups
1. Numeri che contano 2. Trattamento intensivo della glicemia 3. Non solo glicemia: quale trattamento (parte 1) 4. Non solo glicemia: quale trattamento (parte 2) 5. Tornando alla glicemia: l’inerzia terapeutica 6. Veramente oltre la glicemia 7. Conclusioni
Grazie per l’attenzione!
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