division of clinical and bioinformatic engineering …...clinical research coordinator, health...
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University of Tokyo Clinical Bioinformatics
Ministry of Education, Culture, Sports and TechnologyHuman Resources Development Program
Division of Clinical and Bioinformatic Engineering Department of Clinical Bioinformatics
Graduate School of Medicine, The University of TokyoOpen Lecture Courses 2003
University of Tokyo Clinical Bioinformatics
Undergraduate/ Graduate (Medicine, Engineering, Biology), Continuing Education
Other Bioinformatics Human Resources Development Units
Research Organization, Company, Medical Institution
Partnership
Human Resources SupplyDoctor of Medicine, Doctor of Health Sciences,Master of Medicine, Master of Health Sciences,Doctor of Engineering, Master of Engineering,
Clinical Research Coordinator,Health Information Manager, Medical Information Engineer
Division of Clinical and Bioinformatic Engineering
Statistical GeneticsClinical Medicine
(providing environment for research)
Biostatistics Clinical Information Engineering Providing IT Related Courses
Dispatching Qualified Personnel
Division of Clinical Genome Science
Division of Clinical Epidemiology
Division of Clinical and Bioinformatic
EngineeringPrivate
Corporations
Dpt. of Human Genetics
Dpt. of Cardiovascular
Internal Medicine
Dpt. of Diabetes & Metabolism Internal
Medicine
Dpt. of Biostatistics,
Epidemiology
Dpt. of Pharmaco-
epidemiology
Dpt. of Planning,
Information & Management
The University of Tokyo Hospital, Graduate School of Medicine and Faculty of Medicine, the University of Tokyo
Qualified Personnel
Clinical Epidemiology
University of Tokyo Clinical Bioinformatics
- CBI Web sitehttp://cbi.umin.ne.jp
- Applications and inquiriesEmail: [email protected]: 03-5800-9845FAX: 03-5800-9848
University of Tokyo Clinical Bioinformatics
Open Lecture Courses (2003):Twenty meetings;
Apr-Jun, Oct-Nov:Twelve meetings; Jun-Sept:Eight meetings; Oct-Nov:Eight meetings; Mar:Ten meetings; Jun-Jul:Ten meetings; Sept, Nov-De:Ten meetings; Dec-Jan:Ten meetings; Jan-Feb
: Eight meetings; to be announced
- Introduction to Clinical Medicine (Meets with “Human and Engineered Environmental Studies”)- Introduction to Clinical Epidemiology- Medical Science and Nursing Science- Biomedicine- Genome Information- Introduction to Clinical Information Engineering- Clinical Information Management- Clinical Information Systems Engineering
- Intensive Courses (Eight Subjects)
- Introduction to Healthcare Administration (Pharmaco Business Innovation Contribution Lecture)
- Pre-registration (starts one month before the first class) is required.- Issue diploma for each course. (Required attendance: 80% or more)- Full-year courses are offered free of charge on SKY PerfecTV Medical & Welfare channel 774.- Acquire recognition as accredited units at graduate schools/universities.
University of Tokyo Clinical Bioinformatics
Intensive Courses- Introduction to Statistics Package (SAS1): four meetings
(completed)- Introduction to Statistics Package (SAS2)- Introduction to Statistics Package (JMP)- Introduction to Methodology of Epidemiology
(Meets with “Special Lecture on Epidemiology & Preventive Health Science I”): six meetings
- Introduction to Multivariate Analysis: three meetings- Clinical Tests Methodology- Medical Writing- Introduction to Social Medicine -Clinical Information Systems Data Analysis- : six meetings
University of Tokyo Clinical Bioinformatics
(1) April 22 -1- General Medicine – from Clinical Viewpoint (Tsutomu Yamazaki) (2) April 22 -2- General Medicine – from Cell to Human Anatomy (Ichiro Manabe)(3) May 6 -1- Kidney, Metabolism, Endocrine 1 – Diabetes (Kazuo Hara)(4) May 6 -2- Radiation, Diagnostic Imaging (Tadashi Yamazaki) (5) May 13 -1- Cardiovascular Disease 1 – Hypertension (Dobun Hayashi)(6) May 13 -2- Neurological Disorder – Ischemic & Hemorrhagic Strokes (Yoshio Momose)(7) May 20 -1- Cardiovascular Disease 2 – Arrhythmia, Neurophysiological Tests (Toru Suzuki)(8) May 20 -2- Kidney, Metabolism, Endocrine 2 – Obesity, Hyperlipidemia (Kazuo Hara)(9) May 27 -1- Cardiovascular Disease 3 – Cardiac Hypertrophy, Heart Failure (Koshiro Monzen)(10) May 27 -2- Cardiovascular Disease 4 – Arteriosclerosis, Myocardial Infarction (Ichiro Manabe)(11) June 3 -1- Kidney, Metabolism, Endocrine 3 – Endocrinopathy (Yasushi Imai)(12) June 3 -2- Kidney, Metabolism, Endocrine 4 – Renal Disease, Dialysis (Toru Hosoda)(13) Oct. 28 -1- Gastrointestinal Disorder 1 – Gastrointestinal Tract, Stomach, Colon (Tadashi Yamazaki) (14) Oct. 28 -2- Gastrointestinal Disorder 2 – Liver, Gallbladder, Pancreas (Koshiro Monzen)(15) Nov. 4 -1- Laboratory Test – Blood Test, Biochemistry (Toru Suzuki)(16) Nov. 4 -2- Infection (Bacteria, Virus) (Toru Hosoda)(17) Nov. 11 -1- Blood – Mechanism of Hematopoiesis and Anemia, Leukemia (Yasushi Imai)(18) Nov. 11 -2- Allergy, Connective Tissue Disorder – Immunity and Disease (Tadashi Yamazaki)(19) Nov. 18 -1- Respiratory Disease 1 – Focus on Tests & Physiology (Yoshio Momose)(20) Nov. 18 -2- Respiratory Disease 2 – Focus on Disease (Kazuo Hara)
Calendar for Introduction to Clinical Medicine (Instructor)(All meetings held at 6pm on Tuesdays at Clinical Lecture Hall)
Questionnaire on Baseline Medical Knowledge- Students in “Introduction to Clinical Medicine”
少しある
No answer
Little Some
A lot
Very little
University of Tokyo Clinical Bioinformatics
University of Tokyo Clinical Bioinformatics
Basic Medicine- Microbiology (Virus, Bacteria, Parasite, Infection Control)- Anatomy (Macro, Histology)- Immunology- Physiology- Biochemistry, Nutrition Science- Pharmacology- Hygiene- Public Health- Pathology- Basics Integration Course- Medical English
Graduate School of Medicine and Faculty of Medicine, University of Tokyo
University of Tokyo Clinical Bioinformatics
Fig. DIRECT ANTI-ATHEROSCLEROTIC EFFECTS OF STATINS ON VASCULAR WALL. (ACROSS, March 2003)
*Figure removed due to copyright restrictions
University of Tokyo Clinical Bioinformatics
Medicine, Medical Science- Study of maintaining health through treatment/prevention of physical/mental illness- Study with a clear objective of saving human lives- Science dealing with lives born from human interactions
Healthcare, Medical Services/Practice- Medical practice for patients- Diagnosis, treatment, preventive examinations and health education
University of Tokyo Clinical Bioinformatics
Medical progress is based on research which ultimately must rest in part on experimentation involving human subjects.
Medicine is a collection of experiments.-Claude Bernard
Helsinki Declaration(Amendments: 1964, 2000, Additional Annotation: 2002)(http://www.med.or.jp/wma/helsinki02_j.html)
- Medicine based on experiments
- Uncertainty in medicine
University of Tokyo Clinical Bioinformatics
*Acute illness- Infection- Trauma
*Chronic disease- Hypertension- Diabetes- Cancer
- Difference in duration of treatment time- Difference in determination of therapeutic effect
University of Tokyo Clinical Bioinformatics
HypertensionWhat should be considered in the evaluation of therapeutic effect?
Pathological Change
Enlargement of myocardial cell
Myocardial fibrosis
Endocapillary celldysfunction
Glomerular capillarydysfunction
Mesangial cellproliferation
Pathological Condition
Elevation of blood pressure
Left Ventricular Hypertrophy
Left heart enlargement
ProteinuriaDeath
Angina/MI
Heart failure
Stroke
Renal failure
Disease
University of Tokyo Clinical Bioinformatics
Although “MI → arrhythmia → death” is predictable…
CAST: Cardiac Arrhythmia Suppression Trial
Surv
ival
rat
e
100
95
90
85
100
95
90
85
0 3 6 9 12 15050
100150
200250
300350
400450
500
Duration of administration (days)
(N Engl J Med 1989, 321, 406-12) (N Engl J Med 1992, 327, 227-33)
Placebo (n=725)Encainide or Flecainide (n=730) p=0.0006
Placebo (n=660)
Moricizine (n=665)
p<0.02
Examples of Discrepancy in Pathological Condition and Disease
(
%)
Duration of administration (days)
University of Tokyo Clinical Bioinformatics
Drug used(Test title) Pathological condition Result
Encainide & Flecainide(CAST)
Discrepancy in Pathological Condition and Disease
Milrinone(Milrinone Test)
Isradipine(MIDAS)
Ventricular arrhythmia Sudden death
Mortality rateHemodynamic improvement
Cholesterol
Anti-arteriosclerotic
Nonischemic diseasemortality rate
Cardiovascular diseaseoccurrence
Fibrate(WHO Fibrate Test)
University of Tokyo Clinical Bioinformatics
ML-236B, a precursor of Mevalotin, showed no effect on rats.
It showed a dramatic hypocholesterolemic effect on a retiring hen.
When given to a dog, a trace of metabolite appeared in the urine showed a stronger hypocholesterolemic effect than ML-236B itself. Mevalotin was developed from this metabolite.
In the end, it has to be tested on humans…
University of Tokyo Clinical Bioinformatics
Coronary Artery
University of Tokyo Clinical Bioinformatics
Angina MI
Heart muscle is recoverable.Pumping function →
Heart muscle dies.Pumping function ↓
Arteriosclerosis
Normal Coronary Artery
University of Tokyo Clinical Bioinformatics
Treatment of Angina/MI
- Improvement of the heart’s blood supply (Revascularization)
Invasive medical therapy (Angioplasty)Surgical therapy (Bypass surgery)
- Drug therapy
- Improvement of life style
University of Tokyo Clinical Bioinformatics
Treatment of Angina/MI (Invasive Medical Therapy)
・Expand with a balloon.
・Place a stent (metallic mesh) to hold the artery open.
・Remove with a drill.
・(Radiation)
University of Tokyo Clinical Bioinformatics
Internal mammary artery graft
Gastroepiploic artery graft
Treatment of Angina/MI (Surgical Therapy)
University of Tokyo Clinical Bioinformatics
University of Tokyo Clinical Bioinformatics
Ischemic Event Rate in Stable Angina
(Pitt B et al N Engl J Med 1999, 41, 70-76)
25
20
15
10
5
00 6 12 18
Invasive medical therapy (Revascularization)177 Cases
Medication (Statin)164 Cases
Eve
nt r
ate
(%)
100
0Effective
Effective
Ineffective
A
(%)
IneffectiveB
BA
University of Tokyo Clinical Bioinformatics
Is treatment B better? -Not always.
Effective
Ineffective
University of Tokyo Clinical Bioinformatics
Difference in Therapeutic Effect – Random Allocation and Intended Treatment
10
5
0
0 36302418126
Random allocation of treatment A/B ・・・DDoctors’ intended treatment A/B ・・・C
(Months)
(Am J Cardiol 1997, 79, 1453)
The result: C>B>D>A
Mor
talit
y ra
te
(%)
University of Tokyo Clinical Bioinformatics
Different Cause of Illness
Illness
Life Style Factors
Environmental Factors
Genetic Factors
PathogenHarmful substance
AccidentStress
etc.
Genetic predispositionAging
etc.
Diet Exercise Smoking Alcohol Rest
etc.
University of Tokyo Clinical Bioinformatics
Number of Patients with Major Disease (Outpatient/Inpatient)N
umbe
r of
pat
ient
s
0
1,000
2,000
3,000
4,000
5,000
6,000
7,000
8,000
Hyp
erte
nsio
n
Dia
bete
s
Stro
ke
Can
cer
Hyp
erlip
idem
ia
Ast
hma
Isch
emic
hear
t dis
ease
Gas
tric
/du
oden
al u
lcer
Schi
zoph
reni
a
Liv
er d
isea
se
FemaleMale
Total
7,186
2,1151,474 1,270 1,140 1,096 1,067 965 666 459
4,330
2,860
1,000
1,116
756
719
621
649811330
500596
507564
371596 336
330186
273
Source: Patient Survey 1999, Ministry of Health, Labour and Welfare
(Thousands)
University of Tokyo Clinical Bioinformatics
Progression of Lifestyle-related Disease &Its Relation to Primary/Secondary/Tertiary Prevention
Normal Lifestyle Lifestyle-related Disease Decrease in Activity,Assisted Living
Silent progression of disease Occurrence of severe symptoms and remarkable decrease in quality of life
etc.
• Unhealthy diet(high-salt, high-fat,high-calorie etc.)
• Lack of exercise• Lack of sleep,
high stress• Alcohol, smoking
• Obesity• Hypertension• Hyperlipidemia• Diabetes• Decreased
bone density(osteoporosis)
• Stroke(hemorrhagic, ischemic)
• Heart disease(MI, angina)
• Complications of diabetes
(blindness, dialysis etc.)• Fracture• Cancer etc.
• Hemiparesis• Limitation of activity• Dementia
[Primary Prevention] [Secondary Prevention] [Tertiary Prevention]Preventive Medicine Therapeutic Medicine, Rehabilitation
etc.
etc.
University of Tokyo Clinical Bioinformatics
Objective of Medicine/Healthcare
Sanctity of life (SOL)
Quality of life (QOL)Physical
Psychological
Healthy Life Expectancy→Life span with which one is maintaining QOLFor example, one year decrease in (Life Expectancy) - (Healthy Life Expectancy)results in estimated three trillion yen reduction of healthcare cost.
University of Tokyo Clinical Bioinformatics
Life expectancy
QOL QALY(Quality-Adjusted Life Year)
Improvement of QOL & Life Expectancy
University of Tokyo Clinical Bioinformatics
Treatment to Increase QALYQOL transition with existing treatment
QOL transition with new treatment
Life year
1.0
0.0
Increased QALYQOL
University of Tokyo Clinical Bioinformatics
Prognostic Improvement and QOL Improvementof Different Heart Failure Treatments
Inot
ropi
cs
Prognostic improvement
Diu
retic
s
Ven
tric
ular
pac
ing
Part
ial l
eft v
entr
icul
ecto
my
Dig
italis
Spir
onol
acto
ne
Bet
a-bl
ocke
rs
AC
E in
hibi
torsExe
rcis
e th
erap
y
QOL improvement
University of Tokyo Clinical Bioinformatics
Condition occurredduring perinatal period
Pregnancy/delivery/puerperal
Injury/poisoning and other external causes
Urogenital disease
Musculoskeletal/connective tissue disease
Skin/subcutaneous disease
Gastrointestinal disorder
Respiratory disease
Neurological disorder
Mental/behavioral disorder
Endocrine/nutrition/metabolismdisorder
Neoplasm Blood/hematopoietic disorder,impaired immune system
Infection, parasitic disease
Eye/periorbital disorder
Ear/mastoid disorder
Cardiovascular disease
Symptoms/signs/abnormal clinical findings/abnormal laboratory findingsthat cannot be categorized otherwise
Congenital abnormality/deformation/ chromosomal abnormality
Source: National Healthcare Cost Review, excerpt from MHLW website
Breakdown of General Healthcare Costs (FY1999)
http://www.mhlw.go.jp
University of Tokyo Clinical Bioinformatics
Cost of IllnessPatient with Hypertension
Tot
al c
ost
Without antihypertensive With antihypertensive
Complications
AntihypertensiveDirect cost
Lost work time Indirect cost
Complications
Lost work time
University of Tokyo Clinical Bioinformatics
Medication Cost for Preventing one Incident of MI, Stroke or Deathin Mild/Moderate Hypertension Patient without Complications (USD)
Medication
Diuretics
Beta-blockers
ACE inhibitors
Alpha-blockers
Calcium antagonists
4,730 (1)
54,782 (12) - 105,092 (22)
94,170 (20) - 156,520 (33)
151,188 (32) - 194,360 (41)
128,570 (27) - 346,236 (73)
1,595 (1)
18,473 (12) - 35,438 (22)
31,755 (20) - 52,780 (33)
50,982 (32) - 65,540 (41)
43,355 (27) -116,754 (73)
Middle age Old age
(Modification of Pearce KA et al Am J Hypertens 1998,11,618)
University of Tokyo Clinical Bioinformatics
Common Side Effects of Antihypertensive
Diuretics
Beta-blockers
ACE inhibitors
Alpha-blockers
Calcium antagonists
electrolyte abnormality, hyperlipidemia, impaired glucose tolerance,
hyperuricemia, hemoconcentration, erectile dysfunction etc.
bradycardia, atrioventricular block, peripheral circulatory
disturbance, asthma, fatigue, less tolerance for physical activity etc.
hacking, dyspnea caused by angioneurotic edema (rare)
orthostatic hypotension, postprandial hypoglycemic action
facial flushing, headache, palpitation, extremity edema, constipation,
gingival hypertrophy
University of Tokyo Clinical Bioinformatics
Asymmetric Information[ Healthcare Providers (Producer)>>Patients (Consumer)]
The asymmetry should be corrected in the future.
Public regulations have been enacted for consumer protection and financial stability.
University of Tokyo Clinical Bioinformatics
< American Heart Association >http://www.americanheart.org
< Japanese Circulation Society >http://www.j-circ.or.jp