Comorbidities in an Aging HIV Positive Population Speaker Name Location Date Comorbidities Associated With an Aging HIV Positive Population I. Epidemiology II. Introduction to Case Study III. Comorbidities • Renal • Lipodystrophy • Insulin Resistance / Diabetes • Cardiovascular IV. Case Study Facilitation HAART & An Aging HIV Positive Population • The success of HAART has dramatically enhanced life expectancy among HIV positive individuals1 • By 2015, it is estimated that more than one-half of all HIV positive individuals in the US will be aged >50 years2 1Munoz A, et al. AIDS. 1997;11:S69-76. from Senator Gordon H. Smith. Aging hearing: HIV over fifty, exploring the new threat. Available at: http://aging.senate.gov/events/hr141gs.pdf. Accessed September 25, 2008. 2Statement Age Distribution (in years) of HIV Positive Individuals Living in the United States Estimated Number of Persons Living with HIV/AIDS 110,000 100,000 90,000 2003 2006 80,000 70,000 60,000 50,000 40,000 30,000 20,000 10,000 0 <13 13-14 15-19 20-24 25-29 30-34 Adapted from CDC Surveillance Report 2006 35-39 40-44 45-49 Age Group (Years) 50-54 55-59 60-64 >65 Rate of HIV Related Deaths Have Declined Since 1999 Age-adjusted AIDS mortality rate by underlying cause of death Rate per 10,000 persons with AIDS 900 800 Overall deaths 700 HIV-related deaths Non-HIV-related deaths 600 500 400 300 200 100 1999 2000 2001 2002 2003 2004 Years • 1 out of 4 deaths of patients with AIDS was non-HIV related • The proportion of deaths due to non-HIV related causes increased over this time period Sackoff JE, et al. Ann Interm Med. 2006;145:397-406. Comorbidities Associated with an Aging HIV Positive Population • Age related comorbidities are important in HIV positive individuals: – Renal1 – Lipodystrophy2 – Insulin Resistance / Diabetes3 – Cardiovascular4 • These comorbidities in HIV positive patients may be increasingly important in determining the course of therapy in an aging patient population 1Gupta SK, et al. Clinical Infectious Disease. 2005; 40:1559-1585., J., Nat Clin Pract Endocrinol Metab. 2007 Sep;3(9):651-61. 3Florescu, D. Antiretroviral Therapy. 2007. 12:149-162. 4Schambelan M et al. Circulation. 2008;118:e48-e53. 2Falutz Comorbidities Associated With an Aging HIV Positive Population I. Epidemiology II. Introduction to Case Study III. Comorbidities • Renal • Lipodystrophy • Insulin Resistance / Diabetes • Cardiovascular IV. Case Study Facilitation Case Study: Treatment-Experienced Patient • Patient is a 63-year-old African American man who presents to the office for routine follow-up • HIV positive for 6 years and has been on a BID boosted PI-based antiretroviral regimen since diagnosis • No history of prior treatment intolerance or virologic failures • He describes mild long-standing fatigue and infrequent episodes of diarrhea • Current labs: – CD4+ = 436 cells/mm3, VL <50 copies/mL, – WBC = 5.2 cells/μL, Hgb = 14.1g/dL, Platelet count = 236,000 – TC = 212 mg/dL, TG = 190 mg/dL, LDL = 123 mg/dL, HDL = 41 mg/dL – FBG = 120mg/dl, Creatinine = 1.2 mg/dL, BUN = 6 mg/dL, Normal LFTs • eGFR (C-G method) = 78.8 mL/min/1.73 m2 Case Study: Treatment-Experienced Patient • Current meds: ARV regimen, statin, PRN antidiarrheal • No history of diabetes, HTN, tobacco use, or family history of CAD • Physical exam: lipoatrophy of face, arms, and legs; Waist circumference = 39” • Patient is starting a new job and has concerns about his current ARV regimen Case Study: Treatment-Experienced Patient • How does this patient’s age affect your initial evaluation? • How do his physical exam and lab values factor into treatment decisions? • What are the similarities and differences in how you would manage this patient compared to a younger patient? Comorbidities Associated With an Aging HIV Positive Population I. Epidemiology II. Introduction to Case Study III. Comorbidities • Renal • Lipodystrophy • Insulin Resistance / Diabetes • Cardiovascular IV. Case Study Facilitation Prevalence of Chronic Kidney Disease in the General Population Increases with Age Eight year cross-sectional Norwegian survey subjects ≥20 yrs of age Prevalence (%) 50 GFR (mL/min/1.73 m2): 40 45 45-59 30-44 <30 N = 65,605 30 20 10 0 20-29 30-39 40-49 50-59 60-69 Age (Years) Adapted from Hallan SI, et al. BMJ. 2006; 333:1047-1050. 70-79 80-89 90+ Renal Disease in HIV Positive Patients • Kidney disease is an important complication of HIV infection in the era of antiretroviral therapy1 • In a retrospective study of 487 consecutive HIV positive patients with normal renal function, the initial prevalence of CKD was 2%2 – After 5 years of follow-up, 6% had progressed to CKD – Older age was a multivariate predictor of CKD for this cohort 1Gupta 2Gupta SK, et al. Clinical Infectious Disease. 2005; 40:1559-1585. SK, et al. Clinical Nephrology. 2004.; 61:1-6. Kidney Disease in HIV Positive Patients • The spectrum of kidney disease in HIV includes: – HIV-associated nephropathy – Immune complex kidney disease – Medication nephrotoxicity – Kidney disease related to co-morbid conditions • Diabetes, hypertension, and hepatitis virus coinfection Wyatt, CM. AJM. 2007. 120;488-49. Risk Factors for Kidney Disease in the HIV Positive Population Ethnicity Family History Age HIV CKD Risk ART = Modifiable = Nonmodifiable Hypertension Diabetes Hepatitis C Gupta SK, et al. Clinical Infectious Disease. 2005; 40:1559-1585. IDSA Initial Evaluation Recommendations • Obtain baseline GFR: – All patients at the time of HIV diagnosis should be assessed for existing kidney disease with a screening urinalysis for proteinuria and a calculated estimate of renal function • Annual screening: – If there is no evidence of proteinuria at initial evaluation, patients at high risk for the development of proteinuric renal disease should undergo annual screening – Renal function should be estimated on a yearly basis to assess for changes over time • When to consider a nephrology consult: – Additional evaluations and referral to a nephrologist are recommended for patients with proteinuria of grade ≥1+ by dipstick analysis or GFR<60 mL/min per 1.73m2 Gupta SK, et al. Clinical Infectious Disease. 2005; 40:1559-1585. Comorbidities Associated With an Aging HIV Positive Population I. Epidemiology II. Introduction to Case Study III. Comorbidities • Renal • Lipodystrophy • Insulin Resistance / Diabetes • Cardiovascular IV. Case Study Facilitation The Causation of Lipodystrophy Is MultiFactorial in HIV Positive Patients Host Age Race Gender Body composition Virus Viral Load Nadir CD4 levels CDC Disease Category Duration of HIV infection Therapy Duration of treatment Certain ARVs Adapted from Lichtenstein KA. JAIDS. 2005;39:395–400. Potential Clinical Impact of Lipodystrophy • Morphological1 – Quality of life – Patient adherence • Metabolic2 – Insulin resistance – Impaired glucose tolerance – Type 2 diabetes – Hypertriglyceridemia – Hypercholesterolemia – Increased free fatty acids (FFA) – Decreased high density lipoprotein (HDL) 1Falutz J., Nat Clin Pract Endocrinol Metab. 2007 Sep;3(9):651-61. 2Behrens G, et al. Lipodystrophy syndrome. HIV Medicine. 15th ed. 2007. Available at: http://www.hivmedicine.com/hivmedicine2007.pdf. Accessed September 25, 2008. Therapeutic Options for Managing Lipodystrophy • Lifestyle changes – Reduce saturated fat/ cholesterol intake – Increase physical activity – Cease smoking • Evaluate ARVs • Manage chronic co-morbid conditions – e.g. hypertension, hyperlipidemia, diabetes Falutz J., Nat Clin Pract Endocrinol Metab. 2007 Sep;3(9):651-61. Comorbidities Associated With an Aging HIV Positive Population I. Epidemiology II. Introduction to Case Study III. Comorbidities • Renal • Lipodystrophy • Insulin Resistance / Diabetes • Cardiovascular IV. Case Study Facilitation Insulin Resistance and Diabetes in the HIV Positive Population • An increased prevalence of insulin resistance, glucose intolerance and diabetes has been reported in HIV infections in the HAART era1 • Diabetes in HIV positive men with HAART exposure > 4X HIV-seronegative men2 • Risk factors for HIV positive individuals developing diabetes include3: • Certain ARVs • Older age • Ethnic background (African American) 1Florescu, D. Antiretroviral Therapy. 2007. 12:149-162. TT. Arch Intern Med. 2005. 165:1179-1184. 3DeWit, D. Diabetes Care. 2008. 31(6):1224-1229. 2Brown, • Male sex • Greater BMI Diabetes Diagnostic Criteria Test Test Fasting plasma glucose Fasting plasma glucose OGTT Random plasma glucose Oral Glucose Tolerance Test Random plasma glucose Florescu, D. Antiretroviral Therapy. 2007. 12:149-162. Criteria Criteria ≥ 126 mg/dL (≥ 6.99 mmol/L), confirmed by repeat testing or Plasma glucose 2 hours 75testing g oral or ≥ 126 mg/dL, confirmed by after repeat glucose ≥ 200 mg/dL (≥ 11.10 mmol/L) ≥ 200 mg/dL (≥ 11.10 mmol/L) with polyuria and polydipsia Plasma glucose 2 hours after 75 g oral glucose ≥ 200 mg/dL ≥ 200 mg/dL with polyuria and polydipsia Complications of Insulin Resistance • Insulin resistance occurs as part of a metabolic syndrome that may lead to the development of: – Type II diabetes – Atherosclerosis – Hypertension Florescu, D. Antiretroviral Therapy. 2007. 12:149-162. Diagnosis and Management of Insulin Resistance in HIV-Infected Patients • Fasting serum glucose measurement • At baseline and 3-6 months after starting HAART • Yearly thereafter • Oral glucose tolerance test • At the first visit in patients with family history of diabetes or obesity • Repeat when there is clinical suspicion of impaired glucose tolerance • Lifestyle modification • Diabetic education • Self-monitoring of blood glucose • Aerobic and resistance training Florescu, D. Antiretroviral Therapy. 2007. 12:149-162. β-Cell function and glucagon in Type 2 diabetes • Loss of β-cell function and glucagon oversecretion both play key roles in Type 2 diabetes development • Progressive β-cell decline is coupled with inadequate insulin secretion • Glucagon is not suppressed during the postprandial period • Hepatic glucose production is increased during the fasting period and is not suppressed during the postprandial period Incretin therapies Physiologic defects associated with Type 2 diabetes β-cell dysfunction Inadequate insulin secretion and glucagon over-secretion The role of incretins in normal physiology Approaches to incretin therapy GLP-1 analogues DPP-4 inhibitors GLP-1: effects in humans After food ingestion… • Stimulates glucose- dependent • insulin secretion Suppresses glucagon secretion • Slows gastric emptying GLP-1 is secreted from L-cells of the jejunum and ileum That in turn… • Leads to a reduction of food intake • Improves insulin sensitivity Long-term effects in animal models: • Increase of β-cell mass and improved β-cell function Drucker. Curr Pharm Des. 2001 Drucker. Mol Endocrinol. 2003 GLP-1 enhancement GLP-1 secretion is impaired in Type 2 diabetes Natural GLP-1 has extremely short half-life Add GLP-1 analogues with longer half-life: • Exenatide(byetta) .Liraglutide(Victosa) Injectables Drucker. Curr Pharm Des. 2001; Drucker. Mol Endocrinol. 2003 Block DPP-4, the enzyme that degrades GLP-1: • Sitagliptin(januvia) .Saxagliptin(onglyza) Oral agents Drugs Oral Hypoglycemic Agents First- Generation Sulfonylureas • chlorpropamide (Diabinese) • tolbutamide Drugs Oral Hypoglycemic Agents Second-Generation Sulfonylureas • glimepiride (Amaryl) • glipizide (Glucotrol, Glucotrol XL) • glyburide (DiaBeta, Glynase, Micronase) Drugs Oral Hypoglycemic Agents Meglitinides • nateglinide (Starlix) • repaglinide (Prandin) Drugs Oral Hypoglycemic Agents Glitazones/Thiazolidinediones • pioglitazone (Actos) • rosiglitazone (Avandia) Drug List Oral Hypoglycemic Agents Enzyme inhibitors: • acarbose (Precose) • miglitol (Glyset) Biguanide: • metformin (Glucophage, Riomet) Drugs Oral Hypoglycemic Agents Combinations • glipizide-metformin (Metaglip) • glyburide-metformin (Glucovance) • rosiglitazone-metformin (Avandamet) Drug List Human Insulins • • • • • NPH isophane insulin (Humulin N) insulin aspart (NovoLog) insulin glargine (Lantus) insulin lispro (Humalog) regular insulin (Humulin R) Action Profiles of Bolus & Basal Insulins lispro/aspart 4–6 hours regular 6-10 hours BOLUS INSULINS BASAL INSULINS NPH 12–20 hours detemir ~ 6-23 hours (dose dependant) glargine ~ 20-26 hours Hours Note: action curves are approximations for illustrative purposes. Actual patient response will vary. Mayfield, JA.. et al, Amer. Fam. Phys.; Aug. 2004, 70(3): 491 Plank, J. et.al. Diabetes Care, May 2005; 28(5): 1107-12 Comorbidities Associated With an Aging HIV Positive Population I. Epidemiology II. Introduction to Case Study III. Comorbidities • Renal • Lipodystrophy • Insulin Resistance / Diabetes • Cardiovascular IV. Case Study Facilitation Cardiovascular Disease in the HIV Positive Population • Cardiovascular (CV) disease has emerged as a health concern in the aging HIV-positive population as HAART can provide durable clinical benefit and improved survival • Contributes to more than 10% of deaths among HIV positive individuals • Factors that affect CV risk are similar for HIV positive and negative individuals – Risk may vary among ARV agents D:A:D Study Group. The Lancet. 2008. 371(9622):1417-26. MI Rates in HIV Positive and HIV Negative Patients AMI rate by age group Events per 1000 Person-Years 100 HIV+ 80 HIV– 60 40 20 0 18-34 35-44 45-54 55-64 65-74 Age Group (Years) Cohorts (HIV+ =3851, HIV- =1,044,589) were identified in the Research Patient Data Registry. The primary outcome was AMI. Triant VA,et al. J Clin Endocrinol Metab. 2007;92:2506-2512. HIV Related Factors that May Contribute to Cardiovascular Disease Persistent Inflammation Endothelial Dysfunction Lipid Disorders HAART Vascular Disease in HIV Positive Patients ART-Associated Lipodystrophy = ART Insulin Resistance Viremia = HIV Infection = HIV Infection & ART Adapted from Dube M, et al. Circulation. 2008;118:e36-e40. Oxidative Stress IDSA Guidelines: General Approach to CV Risk in HIV Positive Patients Obtain fasting lipid profile, prior to starting antiretrovirals and within 3 to 6 months of starting new regimen Count number of CHD risk factors and determine level of risk. If ≥2 risk factors, perform a 10-year risk calculation Intervene for modifiable nonlipid risk factors, including diet and smoking If above the lipid threshold based on risk group despite vigorous lifestyle interventions, consider altering antiretroviral therapy or lipid-lowering drugs IF LIPID-LOWERING DRUGS ARE NECESSARY Serum LDL cholesterol above threshold, or triglycerides 200-500 mg/dL with elevated non-HDL cholesterol: STATINS Dubé MP et al. Clin Infect Dis. 2003;37:613-627. OR Serum triglycerides >500 mg/dL: FIBRATES IDSA = Infectious Diseases Society of America. Calculating Framingham Risk Available at: http://hp2010.nhlbihin.net/atpiii/calculator.asp?usertype=prof. Accessed September 25, 2008. Summary • Due to advances in HAART, HIV positive patients are growing older and living longer – HIV positive individuals may experience common comorbidities as they grow older • Renal dysfunction • Lipodystrophy • Insulin resistance / Diabetes • Cardiovascular disease • Comorbidities may be increasingly important in therapeutic decisions involving aging HIV positive patients Comorbidities Associated With an Aging HIV Positive Population I. Epidemiology II. Introduction to Case Study III. Comorbidities • Renal • Lipodystrophy • Insulin Resistance / Diabetes • Cardiovascular IV. Case Study Facilitation Case Study: Treatment-Experienced Patient • Patient is a 63-year-old African American man who presents to the office for routine follow-up • HIV positive for 6 years and has been on a BID boosted PI-based antiretroviral regimen since diagnosis • No history of prior treatment intolerance or virologic failures • He describes mild long-standing fatigue and infrequent episodes of diarrhea • Current labs: – CD4+ = 436 cells/mm3, VL <50 copies/mL, – WBC = 5.2 cells/μL, Hgb = 14.1g/dL, Platelet count = 236,000 – TC = 212 mg/dL, TG = 190 mg/dL, LDL = 123 mg/dL, HDL = 41 mg/dL – FBG = 120mg/dl, Creatinine = 1.2 mg/dL, BUN = 6 mg/dL, Normal LFTs • eGFR (C-G method) = 78.8 mL/min/1.73 m2 Case Study: Treatment-Experienced Patient • Current meds: ARV regimen, statin, PRN antidiarrheal • No history of diabetes, HTN, tobacco use, or family history of CAD • Physical exam: lipoatrophy of face, arms, and legs; Waist circumference = 39” • Patient is starting a new job and has concerns about his current ARV regimen Case Study: Treatment-Experienced Patient • How does this patient’s age affect your initial evaluation? • How do his physical exam and lab values factor into treatment decisions? • What are the similarities and differences in how you would manage this patient compared to a younger patient?