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Biomarkers and undiagnosed disease
Soham Al Snih, MD, Ph.D
The University of Texas Medical
Branch, Galveston, TX May 29, 2015 – Mexico City, Mexico
Biomarkers
Broad subcategory of medical signs Objective indications of medical state observed from outside the patient Can be measured accurately and reproducibly
Many terms are used to describe measurements of disease and treatment:
• Biological markers • Biomarkers • Surrogate markers • Surrogate endpoints • Intermediate endpoints
Involvement of a variety of disciplines - clinical trialists, statisticians, regulators, and therapeutic developers
Biomarkers
Biological marker (biomarker) “A characteristic that is objectively measured and evaluated as an indicator of normal biological processes, pathogenic processes, or pharmacologic responses to a therapeutic intervention”
Biomarkers Definition Working Group, convened by the National Institutes of Health
Director's Initiative on Biomarkers and Surrogate Endpoints - 1998
Biomarkers
Biomarkers
Use as a diagnostic tool for the identification of those patients with a disease or abnormal condition
- Elevated blood glucose concentration for the diagnosis of diabetes mellitus
Use as a tool for staging of disease
- Measurements of carcinoembryonic antigen- 125 for various cancers - Classification of the extent of disease (prostate- specific antigen concentration in blood used to reflect extent of tumor growth and metastasis)
Applications in disease detection and monitoring of health status
Biomarkers
Use as an indicator of disease prognosis - Anatomic measurement of tumor shrinkage of certain cancers
Use for prediction and monitoring of clinical response to an intervention - Blood cholesterol concentrations for determination of the risk of heart disease
Applications in disease detection and monitoring of health status
Biomarkers
Clinical endpoint “A characteristic or variable that reflects how a patient feels, functions, or survives” - Quality of life - Physical and cognitive function - Disability
Biomarkers
Surrogate endpoint
A biomarker that is intended to substitute for a clinical endpoint Is expected to predict clinical benefit (or harm or lack of benefit) based on epidemiologic,
therapeutic, pathophysiologic, or other scientific evidence
Characteristics of an ideal biomarker
Safe and easy to measure Cost efficient to follow up Modifiable with treatment Consistent across gender and race/ethnic groups
Biomarkers
Biomarkers
Biomarkers of aging
Predict a person’s physiological, cognitive, and physical function independent of chronological age
Testable and not harmful to the test subjects (blood tests or imaging technique) Work in laboratory animals as well as humans
Biomarkers
Advantages and Disadvantages
Advantages Disadvantages Objective assessment Timing is critical
Precision of measurement Expensive (costs for analyses)
Reliable; validity can be established Storage (longevity of samples)
Less biased than questionnaires Laboratory errors
Disease mechanisms often studied Normal range difficult to establish
Homogeneity of risk or disease Ethical responsibility
Biomarkers Biomarkers of aging under investigation in laboratory and epidemiologic research
Biomarker Measured aspect of aging Associated disease if high
Associated disease if low
Interleukin – 6 Inflammation, infection, oxidation
CVD, cancer, diabetes, sarcopenia, frailty, cognitive decline
C-reactive protein Inflammation, infection, oxidation, liver function
CVD, cancer, diabetes, sarcopenia, frailty, cognitive decline
Liver disease
Aortic calcification Arteriosclerosis Arteriosclerosis
Pulse wave velocity
Arterial stiffness Hypertension
Brain volume Cognitive reserve Dementia
Gait speed Muscle function, peripheral and central nervous system function, cardio-pulmonary fitness
Biomarkers
NIA – Biomarkers of disease progression
Launch research programs to develop and validate sensitive neuropsychological assessment measures to detect and track the earliest clinical manifestations of Alzheimer’s disease
Biomarkers
Latin America Mexican Health and Aging Study (MHAS) Cost a Rican Longevity and Health Aging Study Health, Well-Being and Aging in Latin America and the Caribbean (SABE) Study – SABE Brazil – SABE Colombia
United States Health and Retirement Study Baltimore Longitudinal Study on Aging
Europe English Longitudinal Study of Ageing (ELSA) Survey of Health, Aging and Retirement in Europe (SHARE) The Irish Longitudinal Study on Ageing (TILDA)
Asia
Korean Longitudinal Study on Ageing Japanese Study of Aging and Retirement (JSTAR) The China Health Aging and Retirement Longitudinal Study
Undiagnosed diabetes: Findings from the Mexican
Health and Aging Study
Undiagnosed disease
Use as a diagnostic tool for the identification of those patients with a disease or abnormal condition
Global diabetes prevalence
International Diabetes Federation, 6th Edition, 2014
Undiagnosed disease
NORTH AMERICA AND CARIBBEAN at a glance
38.8 million people have diabetes - 1 in 9 adults Highest prevalence across regions – 11.5%
Lowest undiagnosed rate – 27.1% USD 310 billion expenditure – more than all other regions combined
International Diabetes Federation, 6th Edition, 2014
Undiagnosed disease
SOUTH AND CENTRAL AMERICA at a glance
25 million people have diabetes - 1 in 12 adults
5% of worldwide expenditure – USD 28.7 billions
International Diabetes Federation, 6th Edition, 2014
Undiagnosed disease
Expert Committee on Diagnosis and Classification of Diabetes Mellitus
A1C ≥ 6.5% The test should be performed in a laboratory using a method that is NGSP* certified and standardized to the DCCT assay
OR FPG ≥ 126 mg/dL (7.0 mmol/L). Fasting is defined as no
caloric intake for at least 8 h OR
Two-hour PG ≥ 200 mg/dL (11.1 mmol/L) during an OGTT. The test should be performed as described by the WHO, using a glucose load containing the equivalent of 75 g anhydrous glucose dissolved in water
OR In a patient with classic symptoms of hyperglycemia or
hyperglycemic crisis, a random plasma glucose ≥200 mg/dL (11.1 mmol/L)
Diabetes Care 38, Supplement 1, January 2015
Undiagnosed disease
* National Glycohemoglobin Standardized Program
Prevalence of undiagnosed diabetes in Mexico
National Health and Nutrition Survey (ENSANUT) – 2006 – subsample of 4,687 participants without previous diagnosis of diabetes
IFG - 5.2 %
Abdominal obesity was the antrhopometric measure strongly associated with undiagnosed diabetes
Undiagnosed disease
Collection of intravenous and capillary blood tests: hemoglobin, HbA1c, total cholesterol, high density cholesterol, vitamin D, thyroid-stimulating hormone (TSH), and CRP - ISPM
Blood pressure
Anthropometric measures: weight, height, knee height, waist
and hip circumference Physical performance measures: balance, walk test, and
muscle strength The targeted sub-sample was the full sample in four states:
Rural state Urban state High-US-migration state High diabetes state
Sub-sample (N=2086) Undiagnosed disease
Sample
Sub-sample N = 2086
Age ≥ 50 years N = 1930 - Missing in HbA1c = 46
- Self-reported diabetes in 2001 or 2002 = 14 - Missing information in self-reported diabetes 2012 = 8
No - Self-reported Diabetes N = 1440
Yes - Self-reported Diabetes N = 421
Total sample N = 18,465
Sample= 1861
Outcome Undiagnosed diabetes - A1c ≥ 6.5%
(Finger Prick) - AC1 Now - NGSP certified
Advantage: - No need for fasting - Average of glucose in the last 4 months
Limitations: - Conditions that affect red blood cell turnover (hemolysis,
blood loss) and hemoglobin variants - Patients with Kidney disease - High cost
Undiagnosed disease
Overall percent of undiagnosed diabetes
76.7
23.3
01020304050607080
%
Normal (HbA1C <6.5)
Undiagnoseddiabetes (HbA1c
>=6.5)
Undiagnosed disease
Descriptive characteristics Undiagnosed disease
Normal (HbA1c ≥ 6.5)
Undiagnosed diabetes (HbA1c ≥ 6.5)
Age (years) mean (SD) 63.6 (9.9) 63.7 (9.6) 50 to < 60 476 (43.1) 130 (38.7) 60 to < 70 338 (30.6) 122 (36.3) 70 to < 80 196 (17.8) 59 (17.6) >=80 94 (8.5) 25 (7.4) Female 619 (56.1) 202 (60.1) Married 726 (65.8) 230 (68.5) Years of formal education mean (SD) *
6.1 (4.9) 5.8 (4.3)
No education 174 (15.9) 42 (12.5) 1-5 years 309 (28.3) 100 (29.8) 6 years 236 (21.6) 90 (26.9) >=7 years 374 (34.2) 103 (30.8) * p-value < 0.05
Undiagnosed disease
Descriptive characteristics Undiagnosed disease
Normal (HbA1c ≥ 6.5)
Undiagnosed diabetes (HbA1c ≥ 6.5)
Family history of diabetes 320 (30.8) 110 (34.2) Residence (urban versus rural)
634 (57.4) 199 (59.2)
High U.S. migration state * 638 (57.8) 156 (46.4) Family history of diabetes 196 (17.8) 59 (17.6) Physical Activity 94 (8.5) 25 (7.4) Smoking Status Never 677 (61.3) 211 (62.8) Ever 282 (25.5) 79 (23.5) Current 145 (13.1) 46 (13.7) Hypertension 412 (37.5) 134 (40.0) Stroke 18 (1.6) 5 (1.5) Heart Attack 28 (2.5) 8 (2.4) * p-value < 0.05
Undiagnosed disease
Descriptive characteristics
Normal (HbA1c ≥ 6.5)
Undiagnosed diabetes (HbA1c ≥ 6.5)
BMI(Kg/m2) category * Normal (18.5 to 88 cm in women. High WHR = >90 in men and >85 in women
* p-value < 0.05
Multivariate analysis
OR (95% CI) Physical activity 0.69 (0.53 - 0.91) High U.S. migration state 0.53 (0.40 - 0.70) BMI(Kg/m2) category
Normal (18.5 to 88 cm in women
Undiagnosed disease
27.1
72.9
01020304050607080
%
Good control (HbA1c < 7) Poor control (HBA1c >=7)
Glycemic control Diabetes (N=421)
Surrogate marker
Decreased risk of microvascular complications
Multivariate analysis Good glycemic control HbA1c
27.1
72.9
20.1
56.5
23.30
10
20
30
40
50
60
70
80
Good control(HbA1c < 7)
Poor control(HBA1c >=7)
Normal HbA1c< 5.7
PrediabetesHbA1c -5.7 -
6.4)
UndiagnosedDiabetes -
HbA1c >= 6.5
%
Self-reported diabetes 23.2 %
No Self-reported diabetes 76.8 %
Summary
Percent of undiagnosed diabetes (23.3%)
Physical activity and high migration state - less risk for undiagnosed diabetes
Total and abdominal obesity - high risk for undiagnosed diabetes
Only 23.3 % - good glycemic control – aged 65 years and older and urban residence
Undiagnosed disease
Weight loss of 7% of body weight
Increase physical activity to at least 150 min/week of moderate activity such as walking
Metformin therapy for prevention of type 2 diabetes may be considered in those with IGT, IFG , or an A1C 5.7–6.4%, especially for those with BMI ≥ 35 kg/m2 and those aged 60 years
Screening for and treatment of modifiable risk factors for CVD is suggested
Better control of diabetes
Implications (Diabetes prevention)
Undiagnosed disease
Acknowledgment This study was supported by the National Institutes of Health (R01-AG018016, R.
Wong, PI)
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