 April 9 th, 2013 Journal Club University of Southern California José L González, MD.

Slides:



Advertisements
Similar presentations
How would you explain the smoking paradox. Smokers fair better after an infarction in hospital than non-smokers. This apparently disagrees with the view.
Advertisements

The Research Question Alka M. Kanaya, MD Associate Professor of Medicine, Epidemiology & Biostatistics UCSF October 3, 2011.
Arnold School of Public Health Office for the Study of Aging North Carolina Conference on Aging Session 2C: Healthy Aging Plenary Emerging Opportunities.
Self-Rated Health in Epidemiological Surveys as a Predictor of Disability and Mortality Ellen Idler, PhD Institute for Health, Health Care Policy and Aging.
THE ACTION TO CONTROL CARDIOVASCULAR RISK IN DIABETES STUDY (ACCORD)
Temporal Trends in the Prevalence of Diabetic Kidney Disease in the United States Ian H. de Boer, MD, MS, Tessa C. Rue, MS, Yoshio N. Hall, MD, Patrick.
Meet the Author Webcast Public Health Reports Meet the Author Webcast Socioeconomic Status and Risk of Diabetes-Related Morality in the United States With.
April 25 Exam April 27 (bring calculator with exp) Cox-Regression
Measures of association
Journal Club Alcohol, Other Drugs, and Health: Current Evidence March–April 2010.
Journal Club Alcohol and Health: Current Evidence July–August 2004.
Cohort Studies.
Journal Club Alcohol and Health: Current Evidence January-February 2005.
1 Journal Club Alcohol, Other Drugs, and Health: Current Evidence November–December 2010.
Journal Club Alcohol, Other Drugs, and Health: Current Evidence May-June 2008.
Long-term predictive value of assessment of coronary atherosclerosis by contrast- enhanced coronary computed tomography angiography: meta- analysis and.
Cohort Studies Hanna E. Bloomfield, MD, MPH Professor of Medicine Associate Chief of Staff, Research Minneapolis VA Medical Center.
C-REACTIVE PROTEIN, FIBRINOGEN, AND CARDIOVASCULAR DISEASE PREDICTION By Patrick Whitledge PA-S2 South University Physician Assistant Program.
Glucose Levels and Risk of Dementia Presented by - Anas Kabaha, MD Sheba medical center Sheba medical center August 8,2013.
ACCORD - Action to Control Cardiovascular Risk in Diabetes ADVANCE - Action in Diabetes to Prevent Vascular Disease VADT - Veterans Administration Diabetes.
Minimally Invasive Surgery Symposium Modest Weight Loss in T2 DM: Lessons from the Look AHEAD Trial Donna H. Ryan, MD Pennington Biomedical Research Center.
Comorbidity in SLE Compared with Rheumatoid Arthritis and Non-inflammatory Disorders Frederick Wolfe 1, Kaleb Michaud 1,2, Tracy Li 3, Robert S. Katz 4.
COURAGE: Clinical Outcomes Utilizing Revascularization and Aggressive Drug Evaluation Purpose To compare the efficacy of optimal medical therapy (OMT)
Health Care Costs Associated with Chronic Kidney Disease in Patients with Type II Diabetes Zita Shiue, MD Internal Medicine, R3 Chief of Medicine Conference.
Prevention Guidelines and the Risk of Nursing Home Admission Elmira Valiyeva, Ph.D., Rutgers Louise Russell, Ph.D., Rutgers Jane Miller, Ph.D., Rutgers.
Clinical Appraisal of an Article on Prognosis The Clinical Question Will the prognosis of patients with gout be affected by the administration allupurinol?
The effects of initial and subsequent adiposity status on diabetes mellitus Speaker: Qingtao Meng. MD West China hospital, Chendu, China.
Osler Journal Club Dan Munoz and Adnan Malik September 13, 2006.
Complete Recovery of Renal Function After Acute Kidney Injury is Associated with Long-Term All-Cause Mortality In a Large Managed Care Organization Jennifer.
Journal Club Hallie Lee PharmD Candidate 2013 Mercer University COPHS PHA 618 Geriatrics-Continuous Care Multivitamins in the Prevention of Cardiovascular.
Cognitive Impairment: An Independent Predictor of Excess Mortality SACHS, CARTER, HOLTZ, ET AL. ANN INTERN MED, SEP, 2011;155: ZACHARY LAPAQUETTE.
Epidemiology of CVD in the Elderly Karen P. Alexander MD Duke University Medical Center Duke Clinical Research Institute Disclosures: (1) Minor Research:
Racial Differences in the Impact of HMO Coverage of Diabetes Blood Glucose Monitors on Self-Monitoring Connie A. Mah, M.S. Department of Ambulatory Care.
Biostatistics Case Studies Peter D. Christenson Biostatistician Session 5: Analysis Issues in Large Observational Studies.
Paracentesis and Mortality in U.S. Hospitals José L. González, MD Wednesday, June 25 th, 2014Journal Club.
Estrogen plus Progestin, BMD and Fractures: Women’s Health Initiative Jane A. Cauley University of Pittsburgh JAMA 2003; 290 (13) :
Influence of Comorbid Depression and Antidepressant Treatment on Mortality for Medicare Beneficiaries with Chronic Obstructive Pulmonary Disease by SSDI-eligibility.
Mrs. Watcharasa Pitug ID The Association between Waist Circumference and Renal Insufficiency among Hypertensive Patients 15/10/58 1.
Introduction Lipoprotein(a) [Lp(a)]
TOBACCO USE & OLDER SMOKERS. OLDER SMOKERS In 2004, 3.7 million people aged 65 and older were smokers and 16% of all people aged 50 and older smoked;
Cardiovascular Disease Healthy Kansans 2010 Steering Committee Meeting April 22, 2005.
Assessing Binary Outcomes: Logistic Regression Peter T. Donnan Professor of Epidemiology and Biostatistics Statistics for Health Research.
Low Fitness as a Predictor of Morbidity and Mortality
Lecture 9: Analysis of intervention studies Randomized trial - categorical outcome Measures of risk: –incidence rate of an adverse event (death, etc) It.
Adverse Outcomes After Hospitalization and Delirium in Persons with Alzheimer Disease Charles Wang, PharmD Candidate.
The Association between blood glucose and length of hospital stay due to Acute COPD exacerbation Yusuf Kasirye, Melissa Simpson, Naren Epperla, Steven.
Higher Incidence of Venous Thromboembolism (VTE) in the Outpatient versus Inpatient Setting Among Patients with Cancer in the United States Khorana A et.
Identifying Persons in Need of Weight-loss Treatment: Evaluation of Potential Treatment Algorithms Caitlin Mason School of Physical and Health Education.
Chapter 2: Identification and Care of Patients With CKD 2015 A NNUAL D ATA R EPORT V OLUME 1: C HRONIC K IDNEY D ISEASE.
ALLHAT 6/5/ CARDIOVASCULAR DISEASE OUTCOMES IN HYPERTENSIVE PATIENTS STRATIFIED BY BASELINE GLOMERULAR FILTRATION RATE (3 GROUPS by GFR)
6/5/ CARDIOVASCULAR DISEASE OUTCOMES IN HYPERTENSIVE PATIENTS STRATIFIED BY BASELINE GLOMERULAR FILTRATION RATE (4 GROUPS by GFR) ALLHAT.
Date of download: 5/27/2016 Copyright © 2016 American Medical Association. All rights reserved. From: Comparative Effectiveness of Rhythm Control vs Rate.
Carina Signori, DO Journal Club August 2010 Macdonald, M. et al. Diabetes Care; Jun 2010; 33,
A Randomized Trial of Intensive versus Standard Blood-Pressure Control The SPRINT Research Group* November 9, /NEJMoa R2 이성곤 /pf. 우종신.
CHEST 2014; 145(4): 호흡기내과 R3 박세정. Cigarette smoking ㅡ the most important risk factor for COPD in the US. low value of FEV 1 : an independent predictor.
○ South Asians (SAs) have high rates of CHD which are not entirely explained by traditional CVD risk factors. ○ The association of a family history of.
1 Effect of Ramipril on the Incidence of Diabetes The DREAM Trial Investigators N Engl J Med 2006;355 FM R1 윤나리.
1 Body-Mass Index and Mortality in Korean Men and Women Sun Ha Jee, Ph.D., Jae Woong Sull, Ph.D., Jung yong Park, Ph.D., Sang-Yi Lee, M.D. From the Department.
The Link Between Persistent Atrial Fibrillation and Dementia
Nephrology Journal Club The SPRINT Trial Parker Gregg
Alcohol, Other Drugs, and Health: Current Evidence July–August 2017
US cost-effectiveness of simvastatin in 20,536 people at different levels of vascular disease risk: randomised placebo-controlled trial UK Medical Research.
Copyright © 2012 American Medical Association. All rights reserved.
Lancet. 2017 Aug 5;390(10094): doi: /S (17) Epub 2017 May 25.
Alina M. Allen MD, Patrick S. Kamath MD, Joseph J. Larson,
Ageing with ideal cardiovascular risk factors
Systolic Blood Pressure Intervention Trial (SPRINT)
Diabetes Journal Club March 17, 2011
Cancer is not a risk factor for bullous pemphigoid
Identification of thresholds for significant renal recovery in relation to patient and renal survival. Identification of thresholds for significant renal.
Presentation transcript:

 April 9 th, 2013 Journal Club University of Southern California José L González, MD

 Prevalence o 1/8 Americans > 65yoa o $200b/yr  Why this study? o Prevention of cognitive disability o Lifestyle modification = most cost-effective o Current evidence insufficient o No public health recommendation

 Increased fitness protects against o All-cause mortality o Stroke o Diabetes o HTN  Other studies linked to dementia o Only associated dancing o Only vascular dementia o Only Alzheimers

 Intermediate outcomes o Brain atrophy – med. Temporal lobe vol. o MMSE  NIH consensus statement “physical activity may prevent dementia” o Self-reported physical activity  Canadian study of health and aging o 5-yr f/u, n= 4615

 Assess association between objectively measured fitness and all-cause dementia w/ long-duration of follow-up.  Hypothesized: pts w/ greater midlife fitness = lower risk for dementia later in life o Independent of antecedent cerebrovascular disease

 Study Design: Prospective, observational cohort study  Cooper Longitudinal Study o Non-profit, independent research organization o Assessing lifestyle behavior on health outcomes o Observational database of 28,968 community-dwelling participants o Dallas, TX

 Generally healthy self-referred/employee referred for preventative health (midlife) exam.  Midlife exam: o H&P (HTN, DM, smoker, level of education) o Physical Exam o Fasting labs (blood glucose, lipids) o Anthropomorphic measurements (Ht, Wt, BMI) o ETT between  Cooper database: n = 28,968 and matched w/ indivdiuals w/ Medicare claims = 25,995

 w/ the following time of midlife exam: o MI or stroke o Chronic illness leading to disability o On renal dialysis o >65yoa o Prior dx of dementia before 1999  Final cohort, N = 19,458

 Fitness level = Max time on treadmill  METs  Adjusted for age and sex, classified into quintiles o 1 = lowest level o 5= highest level  No categorization or definition of fitness

 Diagnosis from Chronic Condition Data Warehouse o Data from Medicare beneficiaries for research purposes o Used to identify chronic diseases  Primary Outcome of Interest: diagnosis of all-cause dementia defined by claim filed from o SNF, home health, hospital outpatient or inpatient, physician or supplier claim o 24 different ICD-9 codes for types of dementia: Alzheimers Senile Pre-senile Vascular

 Hazard Ratios = (chance of an event occuring)tx group (chance of an event occuring)control group  Resolution depicted on Kaplan-Meir curve o Proportion of each group where end-point has not been reached o End-point = dx of dementia  Cox-proportional hazards model: estimate of tx effect on survival after adjustment for other explanatory variables

 disease-free survival vs 5-level categorical covariate corresponding to age and sex-adjusted quintiles of fitness  Adjusted for demographic and study variables o Sex, exam age, exam year  Adjusted for clinical variables o HTN, fasting glucose level, current tobacco use, BMI, total cholesterol, SBP, DM)  Repeated analysis w/ midlife fitness as a continuous variable (METs) rather than by category (quintile)

 Mean follow-up from CCLS data = 24 years  Mean 7.2 years on Medicare data  1659 cases of all-cause dementia  Prevalence of dementia increased w/ age Age (years) Dementia Prevalence0.8%2.9%8.3%14.8%

 Incidence of different variables amongst the 5 quintiles o Raw numbers sorted by clinical variables (HTN, DM, smoker, level of education, FLP, glucose level) o Sorted by quintiles (1 lowest, 5 highest) o Decreased incidence of all variables in higher quintiles Except etoh intake and education Quintile12345All METs

 Higher fitness levels = lower risk for incident dementia  Similar findings when fitness was modeled on a continuous scale (i.e. by METs)  Figure 1: Kaplan-Meier curve o y-axis: probability of dementia-free survival (%) o x-axis: Age

 Derived hazard ratio for each quintile, reference = 1 o Lowest HR in quintile 5 o Statistical significance reached in quintile 3 (CI and P-value)  Adjusted for sex, age and listed RFs o Statistical significance reached in quintile 3  Adjusted for individual RFs o Only HTN was statistically significant

 Association similar among pts w/ & w/o hx of previous stroke o HR w/o stroke 0.74 [CI ] o HR w/ stroke 0.74 [CI ]

 Generally healthy community-dwelling pts + association between o Midlife fitness levels (as measured by ETT) o Independent of other RFs  Association present w/ and w/o stroke suggesting a non- vascular MOA  No statistical significance between dementia and education o Homogenous group (see table 1)

 Previous studies confirm: ↑fitness = ↓risk DM, HTN o Established RFs for dementia  Previous studies o Brain atrophy o ↑ # small caliber vessels, ↓ tortuosity = ? ↑ blood flow o ↓ prod. Neurotoxins o Enhanced neuroplasticity w/ exercise

 Strengths o Large cohort study size o Long duration of f/u  Weaknesses o Not randomized: unmeasured cofounder, such as lifestyle factors could lead to ↑ exercise & ↓ dementia o Based on Medicare claims data 85% sens, 89% spec

 Homogenous population (Medicare, non-Hispanic, mid to upper-mid class)  Initial exclusion criteria limits applicability  Can’t give specific recommendations about activity level due to breakdown into quintiles  Future studies should focus on dose-specific relationship to give recs

 Defina LF, Willis BL, Radford NB, Gao, A, Leonard, D, Haskell, WL et al. The Association Between Midlife Cardiorespiratory Fitness Levels and Later Life Dementia: A Cohort Study. Ann Intern Med. 2013;158: