Management of Hypertension in the Diabetic Patient:
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1 Management of Hypertension in the Diabetic Patient: Nicolas W. Shammas, MS, MD Research Director, Cardiovascular Medicine, PC
2 Presentation Objectives To review: The relationship between HTN, insulin resistance and CV risk factors The importance of HbA 1c, and MAU as surrogate markers of CV outcomes Treatment of hypertension in a diabetic patient with and without congestive heart failure HTN=hypertension; DM=diabetes mellitus; CV=cardiovascular; MAU=microalbuminuria; BP=blood pressure
3 Presentation Objectives To review: The relationship between HTN, insulin resistance and CV risk factors The importance of HbA 1c, and MAU as surrogate markers of CV outcomes Treatment of hypertension in a diabetic patient with and without congestive heart failure HTN=hypertension; DM=diabetes mellitus; CV=cardiovascular; MAU=microalbuminuria; BP=blood pressure
4 Insulin Resistance and Cardiovascular Risk factors Increased Peritoneal Fat Production of Excess Adipocytokines Diabetes Insulin Resistance Uric Acid Hyperinsulinemia Dyslipidemia Endothelial Dysfunction Albuminuria PAI 1 CRP HDL HDL 2 TG ApoB Small-Dense LDL CV Events LVH HTN Platelet Aggregation PAI=plasminogen activator inhibitor Bell DSH. J Gender-Specific Med. 2002;5:1-14.
5 CVD Risk Factors HTN* Cigarette smoking Obesity* (BMI 30 kg/m 2 ) Physical inactivity Dyslipidemia* DM* MAU Estimated GFR <60 ml/min Age (men >55, women >65) Family history of premature cardiovascular disease (CVD) (for men <55, women <65) *Components of the metabolic syndrome. Chobanian AV, et al. JNC 7 Report. JAMA. 2003;289:
6 Association of CV Risk Factors and the Prediabetic Patient :San Antonio Heart Study P<.01 Patients With No Diabetes at Follow-up (n=1,539) Patients With Diabetes at Follow-up (n=195) 160 Units P<.01 P<.01 P< P<.01 P< BMI (kg/m 2 ) TG (mg/dl) * HDL-C (mg/dl) SBP (mm Hg) Fasting Glucose Fasting (mg/dl) Insulin (pmol) Haffner SM, et al. Circulation. 2000;101:
7 Hypertensive Diabetics are at risk of Congestive Heart Failure and MI ACE Inhibition β-blockade SNS-RAS HTN SNS-RAS ACE Inhibition β-blockade MI Metabolic Syndrome/Diabetes Cardiomyopathy HF Adams KF, et al. Pharmacotherapy. 2000;20: Fonarow GC. Rev Cardiovasc Med. 2003;4:S38-S49.
8 How to assess the cardiovascular risk of a diabetic in an easily measurable way and how to treat hypertension in a diabetic?
9 Presentation Objectives To review: The relationship between HTN and insulin resistance, DM, and risk for CV events The importance of HbA 1c, and MAU as surrogate markers of CV outcomes Treatment of hypertension in a diabetic patient with and without congestive heart failure
10 Surrogate Endpoints of Adverse Cardiovascular Outcomes in a Diabetic HBA1C
11 UKPDS: MI and Microvascular Endpoints and the Association With Mean HbA 1c Concentration 80 Adjusted Incidence per 1,000 Person-Years (%) MI Microvascular Endpoints Updated Mean HbA 1c Concentration (%) Stratton IM, et al. BMJ. 2000;321:
12 EPIC-Norfolk Study: Every 1% Increase in HbA 1c Increased CV Risk Increase in Relative Risk (%)* % Increase in HbA 1c Above 5% 1% Increase in HbA 1c Above 7% Men Women 40% 28% 40 25% 24% 21% 20% 21% 30 26% Increase in Relative Risk (%) % 0 CHD CVD Total Mortality CHD CVD Total Mortality 0 CHD CVD Total Mortality EPIC-Norfolk: The European Prospective Investigation into Cancer in Norfolk. Khaw KT, et al. Ann Intern Med. 2004;141:
13 The Need for Tight Glycemic Control According to UKPDS 35, every 1% relative drop in HbA 1c was associated with: 21% 14% 12% 16% Decrease in any diabetesrelated endpoint P<.0001 Decrease in risk of MI P<.0001 Decrease in risk of stroke P=.035 Decrease in risk of HF P=.016 United Kingdom Prospective Diabetes Study (UKPDS) 35 Stratton IM, et al. BMJ. 2000;321: % Decrease in risk of microvascular complications P<.0001
14 EPIC-Norfolk Study: Even Small Absolute Changes in HbA 1c May Impact Mortality Patients with HbA 1c * 0.1% decrease in HbA 1c may result in: 0.2% decrease in HbA 1c may result in: 12% 25% Reduction in Mortality Khaw KT, et al. BMJ. 2001:322:15-18.
15 Surrogate Endpoints of Adverse Cardiovascular Outcomes in a Diabetic MAU
16 HOPE: Association of MAU With CV Events in Patients With Diabetes MAU present MAU not present Patients (%) MI, Stroke, or CV Death HF Hospitalization All-Cause Mortality Gerstein HC, et al. JAMA. 2001;286:
17 HOPE: Independent Predictive Variables for Combined Endpoints of CV Death, MI, and Stroke Variable MAU CAD PVD DM Creatinine >1.4 mg/dl Male WHR Every one year increase in age Hazard Ratio WHR=waist to hip ratio. Mann JFE, et al. Ann Intern Med. 2001;134:
18 EPIC-Norfolk: MAU Independently Associated With Mortality Mortality Due to: Stroke Cardiovascular Coronary Heart Disease All-Cause Hazard Ratio Associated With MAU 1.58* % CI 1.01, , , , 1.79 Yuyun MF, et al. Int J Epidemiol. 2004;33:
19 Proteinuria Predicted CV Mortality, Stroke, and CHD Events in Type 2 Diabetes A: U-Prot <150 mg/l B: U-Prot mg/l C: U-Prot >300 mg/l 1 CV Mortality 40 A vs C: P<.001 Survival P Values: A vs B: <.013 A vs C: <.001 B vs C: <.001 A B C Incidence (%) A vs C: P< Months Prospective study of 1,056 diabetic patients aged followed for 7 years. U-Prot=urinary protein concentration. Miettinen H, et al. Stroke. 1996;27: Stroke CHD Events
20 MAU Compared With Traditional Risk Factors for IHD 3 P=.0004 Relative Risk P=.002 P= P< P=.004 Smoking MAU Male Gender Total Cholesterol SBP A/C ratio >.65 mg/mmol >7.0 mmol/l >160 mm Hg Borch-Johnsen K, et al. Arterioscler Thromb Vasc Biol. 1999;19:
21 PREVEND: Predicted Prevalence of MAU According to CRP and MAP Prevalence of MAU (%) BMI: Mean age: 51 1/3 smokers CRP 10 mg/l CRP 3 mg/l CRP 1 mg/l CRP.2 mg/l Mean Arterial Pressure (mm Hg) Stuveling EM, et al. Hypertension. 2004;43:
22 Presentation Objectives To review: The relationship between HTN and insulin resistance, DM, and risk for CV events The importance of HbA 1c, and MAU as surrogate markers of CV outcomes Treatment of hypertension in a diabetic patient with and without congestive heart failure
23 NHANES: Diabetic Adults Who Achieved Recommended Vascular Risk Factor Goals 100 NHANES III (N=1,204) NHANES (N=370) 90 Diabetic Adults (%) HbA 1c <7% BP <130/80 mm Hg TC <200 mg/dl Good Control Saydah S, et al. JAMA. 2004;291:
24 High-Risk Hypertensive Patients Require Multiple Agents to Achieve Goal Achieved SBP AASK 1 ABCD 2,3 ALLHAT 4 HOT 2,5 IDNT 6 (134 mm Hg) (132 mm Hg) (135 mm Hg) (141 mm Hg) (140 mm Hg) RENAAL 7 (140 mm Hg) UKPDS 2,8 (144 mm Hg) Number of BP Medications
25 JNC 7: Antihypertensive Drug Classes for High-Risk Hypertensive Conditions High-Risk Condition With Compelling Indication Diuretic β-blocker ACE Inhibitor ARB CCB Aldosterone Antagonist Clinical Trial Basis HF ACC/AHA Heart Failure Guidelines, MERIT-HF, COPERNICUS, CIBIS, SOLVD, AIRE, TRACE, Val-HeFT, RALES Post-MI ACC/AHA Post-MI Guidelines, BHAT, SAVE, CAPRICORN, EPHESUS High Coronary Disease Risk ALLHAT, HOPE, ANBP2, LIFE, CONVINCE Diabetes NKF-ADA Guidelines,UKPDS, ALLHAT Chronic Kidney Disease Recurrent Stroke Prevention NKF Guidelines, Captopril Trial, RENAAL, IDNT, REIN, AASK PROGRESS JNC 7 Report. JAMA. 2003;289:
26 Algorithm for treating BP in the diabetic hypertensive patient BP BP >150 ACEI/ ARB ACEI/ARB + low dosethiazide diuretic Low dose thiazide diuretic Beta blocker Evaluate for secondary causes of HT (RAS) CCB
27 Effect of β-blockade on Fasting Glucose and HbA 1c in Hypertensive Patients Fasting Plasma Glucose HbA 1c Insulin Sensitivity Index (M/I)* (mmol/l) P=NS (%) P=.04 (M value/mu/l 100) % P= Baseline After 1 yr of Metoprolol Succinate 5.2 Baseline After 1 yr of Metoprolol Succinate 4 Baseline After 1 yr of Metoprolol Succinate 24 hypertensive patients age years were treated with 200 mg of metoprolol succinate for one year. Haenni A. Metabolism. 1994;43:
28 Carvedilol: Metabolic Parameters in Diabetic Hypertensive Patients (mg/dl)* Glucose Level Baseline (%) Months HbA 1c Level (pmol/l) Insulin Level % Change From Baseline at 6 Months 4% 2% 0% -2% -3-4% Glucose Level 5% 4% 3% 2% 1% 0% -1% -2% -3% -4% -5% -1% HbA 1c Level 12% 6% 0% -6% -12% -10 Insulin Level Giugliano D. Ann Intern Med. 1997;126:
29 The GEMINI Trial Glycemic Effects in Diabetes Mellitus: CarvedIlol Metoprolol Tartrate ComparisoN in HypertensIves
30 Background β-blockers decrease cardiovascular risk in patients with HTN and type 2 diabetes However, many metabolic syndrome components (eg, glucose and lipids) are worsened by most β-blockers β-blockers are commonly used with agents such as renin-angiotensin system blockers, which are known to improve insulin resistance, and therefore may diminish these adverse metabolic effects Bakris, et al. JAMA. 2004;292:
31 Objectives To compare two β-blockers with different pharmacological profiles On glycemic and metabolic control In participants with type 2 diabetes and HTN In the presence of agents known to improve insulin resistance (eg, renin-angiotensin system blockers) To assess differences in impact of treatment on cardiovascular risk factors Bakris, et al. JAMA. 2004;292:
32 Inclusion Criteria History of Stage 1 or Stage 2 HTN treated with an ACE inhibitor or ARB, and Type 2 diabetes Baseline HbA 1c 6.5%-8.5%, and C-peptide >.6 ng/ml Bakris, et al. JAMA. 2004;292:
33 Study Design Randomized, double-blind, parallel-group, multicenter, US trial BP target values defined by ADA/NKF Guidelines and updated in 2001 Randomized agents were titrated to achieve BP targets based on Prescribing Information (PDR) Carvedilol: 6.25, 12.5, 25 mg BID Metoprolol tartrate: 50, 100, 200 mg BID Blinded therapy was maintained for five additional months following titration to target BP
34 Primary and Secondary Analyses Primary Analysis The difference in HbA 1c change from baseline between the Carvedilol and metoprolol tartrate groups using a modified intention-to-treat analysis Secondary Analyses: Prespecified Endpoints Metabolic HbA 1c change from baseline (within groups) Insulin resistance by HOMA Withdrawals for worsening glycemic control Lipids Cardiovascular BP Albumin:creatinine ratio MAU HOMA=homeostasis model assessment. Bakris, et al. JAMA. 2004;292:
35 GEMINI GEMINI did not have clinical outcomes as primary endpoint but surrogate markers of clinical outcomes In the GEMINI study, metoprolol succinate, which is the generic name of Toprol-XL * extended-release tablets, was not studied
36 Baseline Characteristics Age, mean (SD), years Female, n (%) BMI, mean (SD), kg/m 2 Race/ethnicity, n (%) White Black Asian Hispanic Other/multiracial Carvedilol (n=498) 60.7 (9.4) 198 (39.8) 33.5 (5.8) 382 (76.7) 62 (12.4) 20 (4.0) 31 (6.2) 3 (.6) Metoprolol Tartrate (n=737) 61.1 (9.7) 354 (48.0) 33.7 (6.2) 548 (74.4) 105 (14.2) 23 (3.1) 55 (7.5) 6 (.8) BMI=body mass index. Bakris, et al. JAMA. 2004;292:
37 Baseline Characteristics C-peptide, mean (SD), nmol/l HbA 1c, mean (SD), % Baseline HbA 1c <7.0%, n (%) Antidiabetic medications (%) Sulfonylureas* Biguanides* Thiazolidinediones* Meglitinides* Multiple agents Insulin None Carvedilol (n=498) 1.12 (.53) 7.21 (.55) 191 (39%) 91 (18.3) 79 (15.9) 16 (3.2) 1 (.2) 260 (52.2) 40 (8.0) 40 (8.0) Metoprolol Tartrate (n=737) 1.14 (.54) 7.19 (.54) 285 (39%) 117 (15.9) 108 (14.7) 28 (3.8) 4 (.5) 414 (56.2) 60 (8.1) 57 (7.7) Bakris, et al. JAMA. 2004;292:
38 Blood Pressure and Heart Rate SBP, mm Hg DBP, mm Hg Treatment Difference (Coreg vs Metoprolol Tartrate) Change (95% CI) -1.0 (-2.60, -.58).29 (-.61, 1.20) P Value HR, beats/min 1.6 (.70, 2.58) < Baseline Month 5 Baseline Month 5 Baseline Month 5 Mean SBP (mm Hg) Mean DBP (mm Hg) Mean HR (beats/min) Coreg (n=454) Metoprolol Tartrate (n=636) Bakris, et al. JAMA. 2004;292: Data on file. GlaxoSmithKline.
39 Treatment Duration and Doses Achieved Treatment duration (days ± SD)* Patients completing 5 months of maintenance therapy Mean dose to achieve target BP Carvedilol (n=498) 155 ± 52 80% 17.5 mg BID Metoprolol Tartrate (n=737) 147 ± 60 74% 128 mg BID Agents titrated to achieve target BP based on Prescribing Information. Bakris, et al. JAMA. 2004;292: Data on file. GlaxoSmithKline.
40 Patients Achieving BP <130/80 mm Hg Patients (%) / / / /636 Coreg Metoprolol Tartrate Post-hoc analysis. Bakris, et al. JAMA. 2004;292:
41 Fasting Glucose mg/dl P=.002 P<.0001 Baseline Month 5 Baseline Month 5 Metoprolol Tartrate (carvedilol=419) (n=607) Treatment Difference Coreg vs Metoprolol 4.0 ( 8.73,.78) P=.10 Bakris, et al. JAMA. 2004;292: Data on file. GlaxoSmithKline.
42 Hemoglobin A 1c 7.4 P<.0001 Mean HbA 1c (%) P=.65 Treatment Difference Coreg vs Metoprolol.13% (.22,.04) P= Baseline Month 5 Baseline Month 5 Carvedilol (n=454) Metoprolol Tartrate (n=657)
43 Insulin Resistance by HOMA 6.3 P=NS mcu/ml*mmol/l P=.004 Treatment Difference Coreg vs Metoprolol 7.2% (13.8,.20) P=.04 (Analysis of geometric means; log-transformed data) Baseline Month 5 Carvedilol (n=371) Baseline Month 5 Metoprolol Tartrate (n=540) HOMA=homeostasis model assessment. Bakris, et al. JAMA. 2004;292:
44 Albumin:Creatinine Ratio Relative reduction, 16% (Coreg vs Metoprolol Tartrate) 95% CI (6, 25) P= Change (%) P=.003 Coreg (n=388) P=NS Metoprolol Tartrate (n=542) Bakris, et al. JAMA. 2004;292: Data on file. GlaxoSmithKline.
45 Development of MAU in Previously Normoalbuminuric Participants 16 Odds ratio,.53 95% CI (.30,.93) P=.03 Patients (%) Coreg (n=302) Metoprolol Tartrate (n=431) Bakris, et al. JAMA. 2004;292:
46 Total Cholesterol P<.001 P=.5 mg/dl Treatment Difference Coreg vs Metoprolol 2.9% ( 4.6, 1.15) P= Baseline Month 5 Baseline Month 5 Coreg (n=433) Metoprolol Tartrate (n=625) Bakris, et al. JAMA. 2004;292: Data on file. GlaxoSmithKline.
47 Triglycerides 190 P< mg/dl P=.3 Treatment Difference Coreg vs Metoprolol 9.8% ( 13.7, 5.8) P< Baseline Month 5 Baseline Month 5 Coreg (n=433) Metoprolol Tartrate (n=625) Bakris, et al. JAMA. 2004;292: Data on file. GlaxoSmithKline.
48 New Statin Initiation or Dose Increase 6 5 Odds ratio,.48 95% CI (.24,.97) P= Patients (%) Coreg (n=459) Metoprolol Tartrate (n=659) Bakris, et al. JAMA. 2004;292: Data on file. GlaxoSmithKline.
49 Withdrawals for Worsening Glycemic Control* 2.5 P=.04 Patients (%) / /498 Coreg Metoprolol Tartrate Bakris, et al. JAMA. 2004;292:
50 Weight Gain Mean Change from Baseline (kg) P=.36 Coreg (n=456) P<.001 Metoprolol Tartrate (n=650) Treatment Difference Coreg vs Metoprolol 1.0 ( 1.43,.60) P<.001 Bakris, et al. JAMA. 2004;292: Data on file. GlaxoSmithKline.
51 GEMINI: Conclusions GEMINI is the first large-scale randomized trial to evaluate the addition of β-blockade to ACE inhibition to achieve the recommended BP target of <130/80 mm Hg for patients with type 2 diabetes Similar BP levels were achieved with a mean total daily dose of 35 mg Coreg or 256 mg metoprolol tartrate on top of treatment with ACEI/ARB In these high cardiovascular risk patients, Carvedilol: Achieved BP goal Improved insulin resistance Improved MAU as measured by ACR Reduced progression to MAU
52 β-blockers in Diabetic Patients: Post-MI 100 Survival (%) No DM; β-blockers DM; β-blockers No DM; No β-blockers DM; No β-blockers Time (days) From a 2,024-patient study, 340 had diabetes, and 281 survived hospitalization for acute MI. Of the 127 patients with diabetes taking β-blockers, 80% received propranolol and 20% received other β-blockers. Kjekshus J, et al. Eur Heart J. 1990;11:43-50.
53 Consistent Effect of beta-blockade on Vascular Events in HF 20 Sudden Death Risk Reduction 19% (3%, 32%) P= Fatal or Nonfatal MI Risk Reduction 30% (1%, 50%) P= All-Cause Mortality in CAD Patients* Risk Reduction 17% (3.5%, 28%) P=.015 Mortality (%) Metoprolol (n=1,518) Coreg (n=1,511) Sudden death rates: metoprolol 17.3%, Coreg 14.4% Time (years) Event (%) Metoprolol (n=1,518) Coreg (n=1,511) Event rates: metoprolol 5.2%, Coreg 3.8% Time (years) Mortality (%) 25 0 Metoprolol (n=847) Coreg (n=823) All-cause mortality rates: metoprolol 46.9%, Coreg 40.1% Time (years) *Includes patients with documented MI, PTCA, CABG, or CAD by angiography or diagnosis of ischemic cardiomyopathy. 1 Poole-Wilson, PA et al. Lancet. 2003;362:7-13. Remme W. J Am Coll Cardiol. 2004;43:205A.
54 Conclusions Hypertension is a strong contributor to CV risk, particularly in diabetic patients. The goal should be: <= 125/85 Therapy for the diabetic hypertensive patient should include drugs that reduce CV risk such as ACEI and β- blockers Beta blockade might alter glucose levels, but α/β blockade with carvedilol in a randomized trial: Improved insulin resistance Improved MAU Reduced progression to MAU Beta blockade in the hypertensive diabetic, the post MI patient and the CHF patient is now an essential treatment
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