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Epidemiologic investigation of ALS and Multiple Sclerosis in Jefferson County, Missouri

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Title: Epidemiologic investigation of ALS and Multiple Sclerosis in Jefferson County, Missouri


1
Epidemiologic investigation of ALS and Multiple
Sclerosis in Jefferson County, Missouri
  • George Turabelidze, MD, PhD
  • Missouri Dept of Health Senior Services

2
Background
  • Active lead smelter has been in existence in
    Herculaneum, Jefferson County since 1892 it is
    the largest lead smelter in USA
  • Residents concerned about the health impact of
    hazardous outputs of the smelter
  • Over years residents reported number of people
    with Multiple Sclerosis (MS) and Amyotrophic
    Lateral Sclerosis (ALS) in the area

3
Multiple Sclerosis (MS)
  • Chronic progressive demyelinating disease of CNS
  • Most common disabling neurological disease in
    young people typical age of onset in 20-30s
  • No etiologic agent for MS has been identified
    environmental influences in a genetically
    susceptible individuals has been hypothesized
  • Prevalence 20 to 236 per 100,000 population
    about 300,000 cases in the US
  • Incidence 0.8 to 12.0 per 100,000 population
  • F/M ratio is 21 and higher
  • More common in Caucasian populations living in
    northern latitudes

4
MS Prevalence in World
Source http//www.mult-sclerosis.org/
5
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6
Symptoms of MS
  • Present in various forms
    some have mostly cognitive changes, while
    others present with prominent ataxia,
    hemiparesis, depression, or visual symptoms
  • Patients with MS may present with facial palsies
    or trigeminal neuralgia
  • Painful limb syndromes, vertigo, behavioral
    changes, depression, fatigue
  • Urinary retention and incontinence
  • Sexual dysfunction
  • Disease progression continuous or intermittent

7
Treatment of MS
  • Prevention of relapses or disease progression by
    using immunomodulatory drugs, such as interferon
    beta-1 currently a first-line therapy for MS
  • High-dose steroids for the acute attack
  • Intravenous immunoglobulin, hormonal treatment,
    bone marrow transplantation, and plasmapheresis
    have been tried
  • Treatment of pains, depression, fatigue,
    spasticity, sexual dysfunction
  • If untreated, more than 30 of patients with MS
    will develop significant physical disability
    within 20-25 years from onset.

8
Amyotrophic Lateral Sclerosis (ALS)
  • Also known as Lou Gehrigs disease
  • Amyotrophic without muscle nourishment
  • Lateral to the side, referring to location of
    damage in the spinal cord
  • Sclerosis hardened
  • Cause unknown (genetic, environmental,
    infectious, autoimmune)
  • Afflicts adults in 40s to 70s
  • Nearly 10 of ALS cases are familial transmitted
    in an autosomal dominant fashion.
  • Rare disease
  • Prevalence 4 to 6 per 100,000 population
  • Incidence 0.7 to 2.5 per 100,000 population
  • M/F ratio is 1.51 and higher
  • Whites/non-whites ratio is 1.61

9
ALS primarily involves anterior horn cells in the
spinal cord and cranial motor nerves.
10
Symptoms of ALS
  • Muscle weakness hands, arms, legs muscles of
    speech, swallowing or breathing
  • Muscle twitching, cramping
  • Especially muscles in hands, feet
  • Impairment of use of arms, legs
  • Thick speech, difficulty in projecting voice
  • Difficulty in breathing, swallowing
  • ALS rarely affects cognitive functions
  • Death typically occurs 3-5 yrs after diagnosis
  • 10 survive gt10 yrs, e.g., Stephen Hawking, 40
    yrs

11
Treatment of ALS
  • Medical care is primarily supportive
  • Medications may be used to relieve severe
    spasticity
  • Riluzole is an FDA-approved medication for
    prolonging tracheostomy-free survival
  • No treatment significantly prolongs survival in
    ALS.

12
Herculaneum Study Objectives
  • To identify all ALS and MS cases in Jefferson
    County through an aggressive case finding and
    ascertainment process
  • To determine whether there was evidence of
    increased prevalence of ALS or MS in the County
  • To identify whether there was any spatial
    clustering of ALS or MS anywhere in the Jefferson
    County

13
Participating Agencies
  • Study was conducted by Missouri Department of
    Health Senior Services
  • Funding from U.S. Agency for Toxic Substances and
    Disease Registry (ATSDR), Centers for Disease
    Control and Prevention (CDC)
  • Assistance provided by academic institutions,
    Jefferson County Health Department

14
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15
Study population
  • Residents of Jefferson County, Missouri during
    the period of 1998 through 2002
  • The county had a mixed suburban and rural
    population of 203,791 (Census 2002 est.)
  • - 49.7 were males, 50.3 were females
  • - median age of the residents was 34.9 years
  • - median household income was 46,338
  • - 97.5 of the residents were white non-Hispanic.

16
Eligibility Criteria
  • Residence in Jefferson County
  • Medical visits between January 1, 1998 and
    December 31, 2002
  • Confirmed diagnosis of possible, probable, or
    definite ALS or MS by neurologist

17
Data sources
  • Missouri DHSS
    - hospital inpatient data
    - emergency room
    visits -
    death certificates.
  • Outpatient visits to neurologists and primary
    health care providers
  • Self-referrals
  • Nursing home admissions
  • Rehabilitation facilities

18
Data sources
  • Local newspaper advertisements
  • Meetings with community representatives
  • Direct mailings to members of the St. Louis
    Regional Chapter of the ALS Association and MS
    Society
  • Association newsletters

19
Inclusion and exclusion criteria
  • ALS revised World Federation of Neurology
    criteria for ALS - the El Escorial criteria
  • MS Poser criteria for MS diagnosis
  • All cases were assigned to one of five
    categories
    1) definite
    2) probable
    3 )
    possible,
    4) undocumented
    probable/possible 5) not
    MS/ALS.

20
Prevalence Estimation
  • ALS crude and age-adjusted point prevalence
    estimates of ALS were calculated from those
    patients known to be alive and residing in
    Jefferson County on December 31, 2002.
  • MS the crude and age-adjusted period prevalence
    of MS for Jefferson County during January 1, 1998
    through December 31, 2002.
  • A Poisson distribution was assumed in calculating
    the 95 confidence intervals (CIs) for the
    prevalence estimates

21
Assessment of completeness of case ascertainment
  • Capture-recapture method was used for three
    different data sources hospital records,
    outpatient records, and death certificates for
    ALS, and hospital records, outpatient records,
    and self-referral for MS

22
Assessment of completeness of case ascertainment
  • Three different methods were used to calculate
    case ascertainment completeness and to estimate
    the number of MS and ALS cases that were not
    reported by any of three data sources the
    Petersen and Chapman estimates, the sample
    coverage approach, and log-linear modeling
  • Ascertainment-corrected number of MS and ALS
    cases was estimated by adding the estimated
    number of cases missed to the observed number of
    cases.

23
Geocoding
  • The street address of each ALS and MS case was
    assigned an X and Y coordinate through a
    geocoding process, performed with the Centrus
    Geocoder for ESRI ArcGIS
  • The cases were assigned to, and summarized by,
    U.S. Census block groups a block group consists
    of a small group of city blocks, or larger rural
    regions, that include approximately 1,500
    residents on average.

24
Spatial Analysis
  • Spatial clustering of ALS cases was evaluated
    using a spatial scan statistic performed with the
    software SaTScan
  • The analyses were purely spatial with a maximum
    cluster size of 20 of the population
  • SatScan method was run with and without
    consideration of the location of the lead smelter
  • SaTScan method was performed using census block
    groups.

25
Results MS
  • Out of 321 potential MS cases, 208 (definite,
    probable, and possible) were included in the
    final dataset
  • 168 women and 40 men (F/M ratio 4.21)
  • Mean age was 47.3 years (range 25-75)
  • Age group with highest prevalence 50-59 years
  • Five patients died during the study period
  • Estimated completeness of case ascertainment was
    95

26
Results MS
  • The crude five-year period prevalence of MS was
    105 (95 CI, 91-121) per 100,000
  • Age-adjusted to the 2000 US population as
    standard, the period prevalence was 107 (95 CI,
    95 to 119) per 100,000
  • No significant clusters were identified by any of
    the four SaTScan tests

27
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28
Conclusions MS
  • Prevalence of MS in Jefferson County, Missouri,
    appears to be comparable with that seen in other
    areas of similar latitude in the United States
    and other countries
  • No spatial clustering of MS was detected in the
    county or around the lead smelter

29
Study Limitations MS
  • Study was based on prevalent cases rather than
    incident cases clusters based on prevalent cases
    may be influenced by disease survival
  • Emigration of persons who have potentially been
    exposed to risk factors for MS could have
    affected our ability to detect clusters
  • Study period of 5 years may not be sufficient for
    MS because this disease may have a long induction
    period, resulting in a slow accumulation of cases
    in the study area

30
Results ALS
  • Out of 58 potential ALS cases, 36 were included
    in the final dataset
  • 25 were classified as definite, 5 as
    probable, and 6 as possible cases
  • M/F ratio was 2.3 1
  • Mean age was 62.1 years (range, 36 to 84)
  • 23 patients died during the study period
  • Mean survival time from initial diagnosis to
    death was 28 months (range, 1 to 72 months)

31
Results ALS
  • Crude point prevalence of ALS was 3.9 per 100,000
    population (95 CI, 1.7 to 7.7)
  • Age-adjusted prevalence of ALS (using the 2002
    U.S. population as the standard) was 4.2 per
    100,000 (95 CI, 1.9 to 6.6)
  • The average annual ALS death rate was to be 2.3
    per 100,000 persons

32
Prevalence of ALS in Harris County, Texas in
1980s was (3.0 per 100,000). However, the
estimated case capture rate in the Harris County
study was 69.
33
Results ALS
  • Case ascertainment of definite and probable
    ALS cases was 100
  • One significant cluster (p0.0437) was identified
    around the lead smelter, which included 3
    unrelated ALS cases in 3 block groups expected
    number of ALS cases was 0.47, yielding a
    standardized prevalence ratio of 6.4

34
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35
Conclusions ALS
  • In Jefferson County, Missouri, the prevalence of
    ALS appears to be comparable to that seen in
    Western European countries in recent years
  • A small cluster of ALS cases was found in the
    proximity of a lead smelter

36
Study Limitations ALS
  • Study was not designed to study risk factors for
    ALS therefore, we cannot evaluate what specific
    factors may be associated with ALS in the area
  • Clusters based on prevalent cases may be more
    related to disease survival rather than to the
    development of the disease
  • ALS cluster detected in our study was based on
    the small sample of ALS cases emigration of
    persons away from the active lead smelter area
    could have affected the size of the cluster.

37
Recommendations
  • Establish National ALS Registry such a registry
    could be used to estimate the burden of ALS, and
    to determine temporal trends and geographical
    clustering of ALS
  • Outpatient, inpatient and death certificate data
    would provide the basis for a comprehensive ALS
    registry
  • Well-designed etiologic studies are needed to
    assess whether living in close proximity to a
    lead smelter may be associated with the
    development of ALS

38
Acknowledgement
  • The following individuals have made significant
    scientific contributions
  • From Missouri Department of Health and Senior
    Services
  • Bao-Ping Zhu, MD, MS
  • Joseph Weidinger, BS
  • Eduardo Simoes, MD (currently no longer with
    DHSS)
  • Joseph Malone, MD (currently no longer with DHSS)
  • From U.S. Agency for Toxic Substances and Disease
    Registry
  • Dhelia Williamson, PhD
  • From Washington University School of Medicine
  • Mario Schootman, PhD
  • From University of Vermont College of Medicine
  • Steven Horowitz, MD
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