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Title: RADIATION EPIDEMIOLOGY AND LEUKEMIA B.Ledoshchuk, M.D.,Ph.D.


1
RADIATIONEPIDEMIOLOGYAND LEUKEMIA
B.Ledoshchuk, M.D.,Ph.D.
  • Institute of Epidemiology
  • Research Center for Radiation Medicine of Ukraine
  • Kyiv-2001

2
EPIDEMIOLOGY OF LEUKAEMIA
  • Results of the 10-year study of leukemia among
    the Chernobyl accident clean-up workers in
    Ukraine
  • 1986-96

3
GENERAL EPIDEMIOLOGY
  • EPIDEMIOLOGY
  • studies the occurrence and prevalence of diseases
    among population
  • identifies disease cases
  • determines probable relationship between various
    risk factors

4
UNIVERSITIES AND INSTITUTES OF EPIDEMIOLOGY
ENGLAND 14
CANADA 13
WESTERN EUROPE 26
USA 89
UKRAINE 1
AUSTRALIA 12
AFRICA-ASIA 5
5
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6
GENERAL EPIDEMIOLOGY
  • Types of Epidemiology
  • medical
  • pharmaceutical
  • veterinary
  • environmental
  • insurance

7
GENERAL EPIDEMIOLOGY
  • Classification of medical epidemiology
  • Infection epidemiology
  • General epidemiology
  • Environment epidemiology
  • Clinical epidemiology
  • Military epidemiology
  • Epidemiology of insurance

8
Main types of epidemiology research

9
GENERAL EPIDEMIOLOGY
  • Methods of analytical epidemiology
  • Cohort
  • Case control
  • Combined

10
GENERAL EPIDEMIOLOGY
  • Methods of analytical epidemiology
  • Cohort study, Follow-up study
  • Investigation for a certain period of time of a
    group of people defined prior to onset of disease
  • Registration of new disease cases
  • Exposed group (clean-up workers-86 )
  • Unexposed group(clean-up workers-87, 88-90 )
  • There is a risk of healthy worker effect in
    comparison with population (underestimation
    IR in exposed group)

11
GENERAL EPIDEMIOLOGY
  • Methods of analytical epidemiology
  • Case/control studies
  • Investigation of groups of people defined by
    presence or absence of disease
  • Case - ( patient) exposed and unexposed
  • Control - (healthy) exposed and unexposed
  • Only estimation of relative risk is possible
  • RR (relative risk) or OR (odds ratio)

12
EPIDEMIOLOGY OF LEUKAEMIA
  • Goal of research
  • Define the dependence of incidence of leukemia
    among Chernobyl accident clean-up workers (ACW)
    on the year of participation in emergency works
    and period of time that passed since exposure to
    radiation

13
EPIDEMIOLOGY OF LEUKAEMIA
  • Results and discussion
  • Subject of observation
  • Chernobyl accident clean-up workers (ACW),
    males, included in State Chernobyl Registry of
    Ukraine.
  • The number of persons under study at the end of
    the observation period
  • is 179 026 .

14
EPIDEMIOLOGY OF LEUKAEMIA
  • Sources of information
  • State Registry of victims of Chernobyl accident
    (CA)
  • specialized registries and subregistries
  • primary data from medical clinics
  • data of official disease registration and death
    cases registration
  • special selective registration of cases
  • data of expert commission for victims of CA

15
EPIDEMIOLOGY OF LEUKAEMIA
  • Main sources of information for case search
  • Results of annual medical examination of ACW
  • Regional hematological clinics data

16
EPIDEMIOLOGY OF LEUKAEMIA
  • Main methods of obtaining of information
  • retrospective
  • current
  • passive
  • active

17
EPIDEMIOLOGY OF LEUKAEMIA
  • Period of observation ACW
  • 1987-1996
  • Calculation were performed for 5-year intervals
  • 1987-1991, 1992-1996

18
EPIDEMIOLOGY OF LEUKAEMIA
  • Diagnostic criteria
  • - under-record of cases due to strong diagnostic
    criteria
  • - over-record of cases (including irrelevant to
    the diagnosis cases) due to insufficient demands
    to diagnosis

19
Classification of diseases
  • Choice
  • Etiology
  • patogeneses
  • Localizations disease
  • ICD-9 or ICD-10
  • Clinical (FAB) Classification of Leukaemia

20
Reliability of the Diagnoses
the Factors influencing the quality of the
diagnoses
  • subjective, objective symptoms outcomes of
    laboratory and tool researches
  • Diagnostic criterions (the majority of diseases
    has no precise criterions)
  • Classification of diseases (in case of
    indeterminacies vague, not updated cases)
  • Reliability of the diagnosis - autopsy (types of
    researches)
  • interpretation errors of classification

21
Reliability of the Diagnoses
22
Sensitivity and specificity
  • Under the sensitivity one understand probability
    that,
  • the patient canl be classified as the patient 
  • Number of the patients
    classified as the patients
  • Se Total number of the
    patients
  •  
  • Under the specificity one understand to
    probability that healthy can be classified as
    healthy 
  •   N umber of Healthy, classified as
    healthy
  • Sp Total number of healthy

23
MODEL of SENSITIVITY And SPECIFICITY A. Ahlbom,
S.Norel 1990
Classified cs the patients
The population
The patients
Healthy classified as the patients
The patients classified as healthy
(Is false Negative)
(Is false Positive)
The patients classified as the patients
24
Information flows between institutions and the
center
  • cCITY HOSPITAL
  • DDISPENSARY
  • OBLAST HOSPITAL OBLAST DISPENSARY
  • INSTITUTIONAL HEMATOLOGICAL DEPARTMENTS

CENTER FOR RADIATION MEDICINE
25
Information exchange for quality control
EPIDEMIOLOGIST
SUPERVISER
D/B
TECHNICIAN
26
EPIDEMIOLOGY OF LEUKAEMIA
  • LEUKEMIA DIAGNOSIS STRUCTURE
  • There are 48 cases of leukemia
  • among clean-up workers of 1986
  • 13 acute leukemia - AL (27 ),
  • 20 CLL (42 ),
  • 14 CML (29 ),
  • 1 other forms of leukemia (2 ).

27
EPIDEMIOLOGY OF LEUKAEMIA
  • LEUKEMIA DIAGNOSIS STRUCTURE
  • There are 15 cases of leukemia
  • among clean-up workers of 1987
  • 8 cases of AL (53 ),
  • 2 cases of CLL (13 ),
  • 4 cases of CML (27 ),
  • 1 case of unspecified leukemia (7 ).

28
EPIDEMIOLOGY OF LEUKAEMIA
  • LEUKEMIA DIAGNOSIS STRUCTURE
  • There are 8 cases of leukemia
  • among clean-up workers of 1988-90
  • 1 case of AL ,
  • 4 cases of CLL,
  • 3 cases of CML.

29
EPIDEMIOLOGY OF LEUKAEMIA
  • LEUKEMIA DIAGNOSIS STRUCTURE

30
GENERAL EPIDEMIOLOGY
  • Crude measure calculated for population as a
    whole
  • Specific measure calculated for specific groups
    of population
  • Standardized measure for completion of summary
    comparison between two or more groups diversified
    according to age or other criteria

31
GENERAL EPIDEMIOLOGY
  • Generate rate
  • Absolute rate (number)
  • Popularity
  • Morbidity
  • Mortality
  • Expressed as cases from 106 to 103 in
    investigated cohort (case/control)

32
GENERAL EPIDEMIOLOGY
  • Popularity
  • prevalence rate, ratio - PR
  • It is a quota of morbidity among population in
    certain moment of time
  • PR number of existing cases of disease
  • population during the same of
    time period

33
GENERAL EPIDEMIOLOGY
  • Morbidity
  • incidence rate - IR
  • Represents rate at which new cases are
    occurring.
  • IR number of new cases of disease over a
    specified time period
  • person-years,
    person-time, time at risk

34
GENERAL EPIDEMIOLOGY
  • CUMULATIVE INCIDENCE
  • cumulative incidence rate - CI
  • It is a quota of healthy persons that can fall
    ill during a certain period of time
  • CI number of new cases over a specified time
    period
  • population at the beginning of a
    specified time period
  • , where IR
    incidence rate duration of observation period

35
GENERAL EPIDEMIOLOGY
  • confidence interval
  • Calculation of 95 confidence intervals for
  • prevalence rate (PR)
  • cumulative incidence rate (CI)
  • incidence rate (IR)
  • IR?1.96 (R- person-years)

36
GENERAL EPIDEMIOLOGY
  • confidence interval
  • Calculation of 95 confidence intervals for
  • relative risk
  • where e - logarithmic base 2,718
  • ln - logarithmic function with e base (natural
    logarithm)
  • ln(RR) - survey number
  • square root of
    dispersion var calculated number

37
GENERAL EPIDEMIOLOGY
  • Calculation of Relative Risk
  • For cumulative incidence RR(A1/N1)/(A0/N0)
  • where ?number of cases
  • Nnumber of person year
  • 95 confidence interval for relative risk
    ln(RR)-dispersion
  • varln(RR) (N1-A1)/(N1A1)(N0-A0)/(N0A0

38
GENERAL EPIDEMIOLOGY
  • Calculation of Relative Risk
  • For incidence rate RR(A1/R1)/(A0/R0)
  • where ?number of cases
  • Rnumber of person-years
  • 95 confidence interval for relative risk
  • ln(RR)-dispersion
  • varln(RR) (1/A1)(1/A0)

39
GENERAL EPIDEMIOLOGY
  • Stratification
  • Division of the population into subgroups
    (strata) if there is the base to assume that the
    incidence is unequal in different groups
  • strata distribute according to
  • age
  • sex
  • occupation
  • radiation dose
  • other effects

40
GENERAL EPIDEMIOLOGY
  • Standardization
  • - is one of the method of comparison validity
  • direct method of standardization
  • indirect method of standardization

41
GENERAL EPIDEMIOLOGY
  • Direct Method of Standardization
  • within group, intergroup and international
    standard age is used for comparison of incidence
    rates in two groups
  • ratio of standardized incidence rates is
    presented by formula
  • (R1.1/R1.n)RR1.1(R1.2/R1.n)RR1.2ASR1
  • (R2.1/R2.n)RR2.1(R2.2/R2.n)RR2.2ASR2

42
GENERAL EPIDEMIOLOGY
  • indirect method of standardization
  • SIR(O/E)100 (standardized incidence ratio SIR)
  • ratio of O-observed number of cases at
    exposed group and E - expected number of cases at
    control group
  • standard age of exposed group is used for
    comparison incidence rates in two groups

E (N1IR1)(N2IR2)
43
EPIDEMIOLOGY OF LEUKAEMIA
44
EPIDEMIOLOGY OF LEUKAEMIA
45
EPIDEMIOLOGY OF LEUKAEMIA
46
EPIDEMIOLOGY OF LEUKAEMIA
Age Standardized Rate (per 100.000)
-Number of cases from 20 to 29 years/1000,000
clean-up workers of 1986 - ?1 1987?. B1
-Number of males from 20 to 29 years/100,000
clean-up workers of 1986 - A2 1987?.
B2 Calculation For clean-up workers of 1986
A1(12,000/A2)ASR1 For clean-up workers of 1987
B1(12,000/B2)ASR2 where 12,000 world
standard in this interval
47
EPIDEMIOLOGY OF LEUKAEMIA
48
EPIDEMIOLOGY OF LEUKAEMIA
49
Design formulasof relation between exposure and
incidence
GENERAL EPIDEMIOLOGY
  • - COHORT
  • data are presented as relation risk
    estimation
  • RRIR1 / IR0
  • where IR1 and IR0 are incidence coefficients
  • A1 and A0 - number of cases
  • R1 ? R0 - person-years at risk

50
Design formulasof relation between exposure and
incidence
GENERAL EPIDEMIOLOGY
  • - CASE-CONTROL
  • relative risk estimation -
  • odds ratio (OR)
  • where A1a, A0b
  • R1c, R0d
  • A1 and A0 - number of cases
  • R1 and R0 - person-years at risk

51
Sources of Radiation Exposure From NCRP Report
No 93
52
ATOM PRINCIPLE DIAGRAM (Craig C.
Freudenrich,2001, HAW)
Electron
Nucleus
Orbit
53
PENENTRATING RADIATION
Alpha Particles
Radiation Source
Stopped by a sheet of paper
Beta Particles
Stopped by a layer of clothing or by a few
millimeters of a substance
Stopped by several feet of concrete organic
tissue or a few inches of lead
Gamma Rays
54
RADIO-BIOLOGICAL EFFECTS
  • NOT STOCHASTIC EFFECTS
  • as a result of high irradiation acute radiation
    sickness and furnaces radiation injuries are
    developed
  • STOCHASTIC EFFECTS
  • developed during prolonged irradiation (external,
    internal, balanced, critical organs etc.)
    Somatic, genetic, embryo toxic

55
RADIO-BIOLOGICAL EFFECTS
  • STOCHASTIC EFFECTS
  • Somatic and genetic, embryo toxic effects are
    developed in casual, probabilistic nature
  • Only probability of damage appearance depends on
    dose, but not weight and depth of damage
  • Frequency of appearance radiation-induced
    diseases increases with dose increase

56
RADIO-BIOLOGICAL EFFECTS
  • STOCHASTIC EFFECTS
  • Summary stochastic effects during population
    irradiation (population group) are defined by
    collective dose
  • It is impossible to define an individual effect
    or additional risk and it is impossible to
    determine which kind of cancer is typical for
    additional cases

57
MODELS of EXCESS of RISKS D.Pierce, D.Preston,
1996-1999
  • Time dependent models of redundant relative risk
    for solid swellings
  • Limit of models of risk for a cancer 10 years
  • Absolute risk for leukaemia
  • Limit of models leukaemia 2 years
  • The limit of models of risk is a concept latent
  • Period - between the beginning of effect of the
    radiation factor and diagnostics leukaemia

58
MODELS of EXCESS of RISKS D.Pierce, D.Preston,
1996-1999
  • Execes absolute risk for leukaemia
  • Where ? and ? - constant ? - depends on
    categories -
  • Age for want of effect and, for each from these
    categories, categories of time from time of
    effect and sex
  • D Doze equivalent red marrow, in Siverts (Sv)

59
MODELS of EXCESS of RISKS D.Pierce, D.Preston,
1996-1999
  • Time dependent models of redundant
  • relative risk adapt DOSE dependence
  • As linear for SOLID CANCERS
  • As linearly quadratic for LEUKAEMIA

60
EPIDEMIOLOGY OF LEUKAEMIA
  • RESUME
  • The comparative analysis was done for clean-up
    workers CWA of 1986 and 1987 by periods of
    observation of 1987-1991 and 1992-1996.
  • The results of the conducted study indicate the
    increasing of the leukemia risk among CWA of
    1986 most vividly during 1987-1991.
  • Relative risk was defined at the level of 3,32
    (1,08 10,20), and for 20-59 age group it was
    3,45 (1,15 10,36).
  • No significant differences were defined in
    leukemia incidence at survey groups in 1992-1996.

61
About author
Ledoshchuk Boris Alexandrovich born in 1946 in
Russia. In 1970 graduated from Blagoveschensk
Medical Institute, where also studied in
coordinator and at post-graduate course. In 1975
1978 worked in the Institute of clinical and
experimental medicine of the Academy of Sciences
of USSR in Novosibirsk. Took part in scientific
epidemiological studies of Far-East and Siberia
regions inhabitants. In 1978 1985 possessed
various positions in medical institutions of
Nikolaev region (Ukraine). In 1986 1988 worked
in the Ministry for Health Care of Ukraine where
was responsible for rehabilitation programmer of
the population of Chernobyl contaminated
area. Since 1988 heads scientific leukemia
epidemiology laboratory of the Radiation Medicine
Scientific Center. In 1995 2000 headed the
Medical Department of the Ministry of Atomic
Energy. Since 27 April 1986 was involved in
clean-up works in the Chernobyl area. One of the
leading specialists in the problems of automatic
systems of long-term medical monitoring of people
damaged in result of Chernobyl accident (State
Registry of Ukraine). Author of more than 100
scientific articles and works on the problems of
epidemiology, automatic systems of registration
and radiation medicine. Prominent participant of
international epidemiology projects AIFIKA,
Chernobyl, Leukemia.
B. A. Ledoshchuk M.D.,Ph.D.
62
channels of information
Atlas of Cancer Mortality http//www-dceg.ims.nci.
nih.gov/atlas/index.htm/ Epidemiologic Research
(Books) www.amazon.com/exec/obidos/ Epidemiology
index http//home.beseen.com/technology/bcjung/Epi
sites.htm/ Epidemiology statistics
www.geocities.com/vadivale/internet11.htm/
Epidemiology USA http//acepidemiology.org/ATLANTA
.htm/ How Atoms, Radon, Nuclear, Work -
www.howstuffworks.com International Agency Atomic
Energy http//www.iaea.org/
63
channels of information
International Journal of Epidemiology -
www.ije.oupjournals.org Ionizing Radiation,
Health Effects www.epa.gov/radiation Lessons of
Hiroshima and Chernobyl www.whyfiles.org/020radiat
ion/index.html Leukemia Research
http//dspase.dial.pipex.com/lif-/diseases/index/h
tm Nuclear Energy Agency-Radiation Protection
http//www.oecdnea.org/html/rp/ Radiation
Research http//www.radres.org/ Radiation and
Health Physics http//www.umich.edu/radinfo/ Radi
ation effects Research Foundation
www.rerf.or.jp/ Radiation effects
www.eh.doe.gov/ihp/rerf/
64
channels of information
Radiation Protection Program (EPA)
www.epa.gov/radiation/ionize.htm Research Sources
(Radiation, Effects) www.umich.edu/radinfo/reas
.html Risk assessment of radiation
www.radrisk.obninsk.com Statistics on the Web
http//www.execpc.com/helberg/statistics.htm/ Sup
ercourse Epidemiology www.pitt.edu/super1/index.
htm Uranium and Health www.antenna.nl/wise/uraniu
m/uhr.html What is epidemiology?
www.bmj.comepidem/epid.1.html Ministry of Nuclear
of Energy Russia www.minatom.ru Epidemiology,
Radiation, Chernobyl, Ukraine (ERCU)
www.epidemUA.svitonline.com
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