The origins of age-related proinflammatory state

Slides:



Advertisements
Similar presentations
POTH 612A Quantitative Analysis Dr. Nancy Mayo. © Nancy E. Mayo A Framework for Asking Questions Population Exposure (Level 1) Comparison Level 2 OutcomeTimePECOT.
Advertisements

Pai JK et al. N Engl J Med 2004; 351: Relative CHD risk by increasing baseline CRP plasma levels,* relative to CRP
Baseline Prevalence of Metabolic Syndrome and Individual Components Among 4258 Older Adults Dariush Mozaffarian, et al. Arch Intern Med. 2008;168:
Breast cancer affects 1 in 8 women during their lives. 1 Population Statistics.
Date of download: 6/3/2016 Copyright © The American College of Cardiology. All rights reserved. From: Effects of Habitual Coffee Consumption on Cardiometabolic.
Date of download: 6/30/2016 Copyright © 2016 American Medical Association. All rights reserved. From: Cardiorespiratory Fitness as a Quantitative Predictor.
Maternal Depressive Symptoms During and After Pregnancy and Psychiatric Problems in Children  Marius Lahti, PhD, Katri Savolainen, MA, Soile Tuovinen,
Baseline Characteristics of Women and Men in Whom Coronary Heart Disease Developed during Follow-up and Matched Controls - A Jennifer K. Pai et al. N.
Copyright © 2009 American Medical Association. All rights reserved.
Copyright © 2012 American Medical Association. All rights reserved.
by Qi Sun, Monik C. Jiménez, Mary K. Townsend, Eric B. Rimm, JoAnn E
Associations of renal impairment (adjusted odds ratio and 95% CI) and the presence of individual small vessel disease markers stratified by age. Associations.
Circ Cardiovasc Qual Outcomes
Association of low eosinophil and lymphocyte counts with different initial presentations of cardiovascular disease over the first 6 months ‘Low eosinophils’
Adjusted mortality risk
by Khaled M. Musallam, Vijay G
James H. O’Keefe, MD, Salman K. Bhatti, MD, Ata Bajwa, MD, James J
Prevalence of statin and beta-blocker use by clinical presentation
A population-based study of cardiac morbidity among Hodgkin lymphoma patients with preexisting heart disease by Sten Myrehaug, Melania Pintilie, Lingsong.
Volume 375, Issue 9709, Pages (January 2010)
High-frequency vibration training increases muscle power in postmenopausal women1,2  Cosimo Roberto Russo, MD, Fulvio Lauretani, MD, Stefania Bandinelli,
Cardiovascular Disease and CKD: Core Curriculum 2010
Joshua A. Bell et al. JACC 2018;72:
OR (95% CI) for CHD associated with inflammatory markers before and after adjustment for established risk factors. OR (95% CI) for CHD associated with.
Plasma 25-Hydroxyvitamin D and Risk of Non-Melanoma and Melanoma Skin Cancer: A Prospective Cohort Study  Shoaib Afzal, Børge G. Nordestgaard, Stig E.
Separate and combined associations of body-mass index and abdominal adiposity with cardiovascular disease: collaborative analysis of 58 prospective studies 
Wesley T. O’Neal et al. JACEP 2016;2:
Nimarta Singh, BA, Kiang Liu, PhD, Lu Tian, ScD, Michael H
Adjusted rate ratios of hospital days and admissions for blacks and Hispanics compared with whites by age group. Adjusted rate ratios of hospital days.
Elliott P, et al. JAMA 2009;302:37-48.
Obesity and type 2 diabetes forecasts.
OR (95% CI) for CHD associated with inflammatory markers in all participants and in subsets of non-users of statins or non-users of aspirin therapy. OR.
Health-related quality of life measured by the RAND 36-Item Health Survey according to modified Medical Research Council (mMRC) dyspnoea scale groups.
Estimated HR as a function of absolute change in glycated hemoglobin (HbA1c; from index to measurement 22–26 months after). Estimated HR as a function.
Retrospective analysis of capillary hemoglobin recovery in nearly 1 200 000 blood donor returns by Pia Niittymäki, Mikko Arvas, Antti Larjo, Pirkko Mattila,
Distribution of Cardiovascular Risk Factors by Baseline CRP Concentration M. Cushman et al. Circulation. 2005;112:25-31.
Baseline Characteristics According to Sex
Characteristics of Study Subjects and Events, According to the Quintile of Exposure to Fine Particulate Matter (PM2.5)* - Part I Kristin A. Miller et al.
Pamela E. Scott et al. JACC 2018;71:
Association of total disease burden and disease progression with age‐adjusted blood heteroplasmy Association of total disease burden and disease progression.
Baseline Characteristics of the Subjects*
Glycated Hemoglobin Levels (A1C)
Predicted number of joint bleeds according to factor activity level and age group for patients with hemophilia A or B based on a regression model. Predicted.
Baseline characteristics of older women (NHS I), younger women (NHS II), and men (HPFS) with a history of hypertension according to thiazide use Eric N.
Multivariable logistic regression analysis of D-dimer concentrations between study groups. Multivariable logistic regression analysis of D-dimer concentrations.
Estimated HR as a function of mean residual of glycated hemoglobin (HbA1c) measurements to the line connecting index HbA1c and HbA1c measurement 22–26 months.
Relative risk of a major coronary heart disease event (myocardial infarction incidence, fatal coronary heart disease, or coronary revascularization) for.
Figure 2. Odds ratios (ORs) from the multivariate logistic regression analysis and hazard ratios (HRs) from the Cox regression analysis Odds ratios (ORs)
Flow chart of search strategy
Diabetes, prediabetes, and cardiovascular risk: Shifting the paradigm
Volume 75, Issue 1, Pages (January 2009)
Volume 67, Issue 5, Pages (May 2005)
Increase in adults treated at children's hospitals, 1999–2012, according to age group and disease. Increase in adults treated at children's hospitals,
Volume 63, Pages S13-S16 (February 2003)
Adjusted HRs (95% CIs) for all-cause mortality associated with BMI by smoking status in men and women and by CHD, type 2 diabetes, and cancer status at.
Effect of age, sex, race/ethnicity, and obesity on the relation of glycemic measures to Si and AIR. In linear regression models with Si as the dependent.
Adjusted HRs (95% CIs) for all-cause mortality associated with body fat percentage by smoking status in men and women and by CHD, type 2 diabetes, and.
Observed versus expected associations between the FGGRS and IMT
Crude and adjusted HbA1c change by medication adherence group (proportion of days covered (PDC)) by linear regression, controlling for age, age2, gender,
Risk differences for incident stroke, coronary heart disease (CHD), and cardiovascular mortality (per 1000 person-years) by clinical risk factor in the.
Associations between biomarkers of subclinical inflammation and progression of DSPN assessed by changes in MNSI in individuals with DSPN in KORA F4/FF4.
ROC curves for cardiovascular events, all-cause mortality, and disease progression. ROC curves for cardiovascular events, all-cause mortality, and disease.
Risk of type 2 diabetes as a function of ABCA1 and ABCG1 genotype in CCHS. Hazard ratios were multifactorially adjusted for age, sex, BMI, hypertension,
Among three residual kidney function (RKF) indices, only residual urine volume (UV) indicated an independent prognostic value in patients with UV≥0.1 or.
Parity explains the age-associated increase in ANA prevalence in women ages 12 to 59 years, but not in those ages 60+. Parity explains the age-associated.
Meta-analysis of trials examining the effects of aspirin on risk of CVD events in patients with diabetes. Meta-analysis of trials examining the effects.
The combined effects of low sodium and the DASH diet according to baseline blood pressure. The combined effects of low sodium and the DASH diet according.
RR (with 95% CI) of total mortality (multivariate-adjusted) by duration of smoking cessation among diabetic women. RR (with 95% CI) of total mortality.
Increased incidence rate ratio (IRR) and 95% confidence intervals (CI) for type-specific community-acquired infections across eGFR categories within 12.
Jacob J.E. Koopman, MD, PhD  American Journal of Kidney Diseases 
Presentation transcript:

The origins of age-related proinflammatory state by Luigi Ferrucci, Annamaria Corsi, Fulvio Lauretani, Stefania Bandinelli, Benedetta Bartali, Dennis D. Taub, Jack M. Guralnik, and Dan L. Longo Blood Volume 105(6):2294-2299 March 15, 2005 ©2005 by American Society of Hematology

Mean values of inflammatory markers according to sex and age group expressed as number of standard deviations from the population mean to make them independent of different units of measure. Mean values of inflammatory markers according to sex and age group expressed as number of standard deviations from the population mean to make them independent of different units of measure. (Top row) indicates IL-6; □, IL-6r; ▴, IL-1ra; and ○, IL-18. (Bottom row) indicates CRP; □, fibrinogen. Luigi Ferrucci et al. Blood 2005;105:2294-2299 ©2005 by American Society of Hematology

Age regression coefficients and their 95% CIs estimated from linear models predicting level of inflammatory markers. Age regression coefficients and their 95% CIs estimated from linear models predicting level of inflammatory markers. Model “a” estimates the crude affect of age; model “b” is adjusted for cardiovascular risk factors; model “c” is also adjusted for subclinical cardiovascular diseases; and model “d” is adjusted for CHD, CHF, stroke, PAD, COPD, diabetes, hypertension, osteoporosis, CFR, cancer, dementia, and depression. R2 values reported below the confidence interval are for the model used to estimate the age regression coefficients. Luigi Ferrucci et al. Blood 2005;105:2294-2299 ©2005 by American Society of Hematology

Mean values (dashed lines) and 95% CIs (gray shaded areas) of inflammatory markers estimated for men and women of different age groups, under the assumption of low risk profile and no major morbidity. Mean values (dashed lines) and 95% CIs (gray shaded areas) of inflammatory markers estimated for men and women of different age groups, under the assumption of low risk profile and no major morbidity. The continuous lines are crude mean values calculated in 51 healthy men and 45 healthy women with low risk profile and no morbidity. None of these healthy participants was older than 85 years. Luigi Ferrucci et al. Blood 2005;105:2294-2299 ©2005 by American Society of Hematology