SSB Cyano Aerosols 20200213

SSB Cyano Aerosols 20200213.docx

Aerosols from cyanobacterial blooms: exposures and health effects in a highly exposed population

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Aerosols from cyanobacterial blooms: Exposures and health effects in highly exposed populations

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Supporting Statement Part B –

Collections of Information Employing Statistical Methods









Lorraine Backer

Senior Epidemiologist

Division of Environmental Health Science and Practice

Centers for Disease Control and Prevention

Phone: 770-488-3426

Email: [email protected]

Fax: 770-488-3410


Date: February 13, 2020





Part B. Collections of Information Employing Statistical Methods

B.1. Respondent Universe and Sampling Methods



Respondents include adults at least 18 years of age, who are exposed to aerosols generated during cyanobacterial harmful algal blooms (CyanoHABs) while living near or working on Lake Okeechobee, Florida and connecting rivers. We will not exclude pregnant women who volunteer to be part of the study. We will not recruit children because we are interested in occupational and community exposures. We will not recruit prisoners as respondents must be able to move freely outdoors. We will recruit 200 respondents.

CDC will recruit a convenience sample. Sampling methods were discussed with Drs. David Olson and Dana Flanders, statisticians with NCEH. There is very little information about human exposures to and health effects of aerosols generated during cyanobacterial blooms. Thus, we concluded that it is not necessary to use extensive resources to identify all the potential, eligible study participants and chose a random subset to enroll in the study. Rather, any information we collect using convenience sampling will advance the science of cyanoHABs and public health and will lead to new hypotheses about HABs and health that can be explored in future research.

Study power

Sample size calculations

There is little information about the health effects from exposure to cyanobacterial toxins available in the literature. To estimate the potential sample size needed for this study, we used data from Falconer et al (1983). Falconer et al (1983) compared clinical test results for liver enzyme levels in hospitalized patients in an area served by a drinking water source with an ongoing Microcystis aeruginosa bloom with test results from hospitalized patients from an area with no bloom in the drinking water source. M. aeruginosa produces microcystins, which are potent liver toxins that induce changes in blood levels of liver enzyme.

Approximate concentrations of liver enzymes in study by Falconer et al. (1983). Bolded numbers show increases during bloom compared with before the bloom in populations exposed or unexposed to drinking water from a source with a Microcystis aerusginosa bloom.



Enzyme (µ/L in plasma)

Residents with Malpas Dam water supply (exposed). Values estimated from graph.

N=145

Country residents with different water supply (unexposed). Values estimated from graph. N=145

Before Bloom, mean (SEM)

During Bloom mean (SEM),

Before Bloom,

mean (SEM)

During Bloom,

mean (SEM)

GGT

43 (4)

102 (18)

60 (8)

55 (8)

ALT

25 (4)

36 (8)

30 (3)

30 (4)

AST

24 (3)

26 (3)

26 (3)

24 (2)

AP

71 (2)

72 (3)

81 (2)

87 (3)

SEM = standard error of the mean

Assumptions for calculation assuming simple random sample:

  • Random sample

  • Independence of data

  • Sample size of 871 evenly distributed across three time-periods and 2 places (6 total)

    • N=145 (12)

  • NOTE: Repeated measurements formula would need to include the estimated variance of the differences


Formulas:


Two-tailed test:

n = [ (Zα/2 + Zß/E]2

Zα/2 = 1.96 for 95% confidence

Zß = 0.84 for 80% power

power = (1-ß)x100

Ơ = estimated variance

Ơ = √n x SEM

E = maximum error of estimated mean (or null) vs alternate hypothesis values (from paper)


One-tailed test:

n = [ (Zα/2 + Zß/E]2

Zα/2 = 1.65 for 95% confidence, one-tailed test

Zß = 0.84 for 80% power

power = (1-ß)x100

Ơ = estimated variance

Ơ = √n x SEM

E = maximum error of estimated mean (or null) vs alternate hypothesis values (from paper)




Estimation of sample size using results from study participants before and during exposure

Enzyme (µ/L in plasma)


Zα/2


Zß


Ơ


E


N: two-tailed test


N: One-tailed test

GGT

1.96

0.84

48

59

5

4

ALT

1.96

0.84

48

11

149

117

AST

1.96

0.84

36

2

2,520

2007

AP

1.96

0.84

24

1

4,515

3571

Formula:


Summary of sample size considerations:

Our planned sample size of 200 participants should give more than 80% power to detect changes (i.e., approximately a doubling) in liver enzyme levels with 95% confidence, assuming that the values will increase with exposure.





B.2. Procedures for the Collection of Information



We will recruit a convenience sample of 200 study participants from the subpopulation comprising adults at least 18 year of age, who are exposed to aerosols generated during cyanobacterial harmful algal blooms (CyanoHABs) while living near or working on Lake Okeechobee, Florida and connecting rivers.

Study participant inclusion criteria are as follows: the individual must be at least 18 years old, understand English, Spanish, or Haitian Creole, spend at least 2 hours a day outside each day, be able to do a lung function test, and be willing to do all study activities listed in the screening survey. Study participant exclusion criteria are as follows: the individual is less than 18 years old, cannot understand English, Spanish, or Haitian Creole, does not spend at least 2 hours a day outside each day, is unable to do a lung function test, and is unwilling to do all study activities listed in the screening survey.

Study staff, including NCEH staff and contractors will interact with study participants to collect screening survey, survey data, and other data. Details about who will collect the information and how the collection will occur (how it is done) is in Table B.2.1. below.


Table B.2.1. Summary of information & materials to be collected and who will collect them. There will be 5 study days, one at the beginning of the bloom, 3 during the bloom, and one near the end of the bloom. For study days 1, 3, and 5, we will collect blood in addition to the survey responses, biospecimens, and environmental samples.

Information & materials to be collected

Collected by

Number of times information and materials collected per participant

N = 200 respondents

Data to be collected

Telephone Screening/Baseline Survey

Study staff (CDC staff and contractors)

1

Whether or not an interested person meets study inclusion criteria and baseline data

Symptoms Survey

Study staff

10

Health symptoms, other relevant exposures, etc.

Dock air samples

Study staff

5 (one for each of 5 study days)

Gases and vapors emitted as blooms die off and cyanotoxin levels

Personal air samples

Study staff

5 (one for each study day)

Cyanotoxin levels

Water samples

Study staff

5 (one for each study day)

Cyanobacterial taxonomy and cyanotoxin levels

Nasal swabs

Study staff

10

Cyanotoxin levels

Lung function test

Study staff

10

Lung function parameters

Blood samples

Registered phlebotomist

3

Liver enzyme levels, creatinine levels

Urine samples

Study participants

10

Cyanotoxin levels

Fish

Study staff (who will forward to EPA)

5 (one for each study day when respondent is fishing)

Cyanotoxin levels in fish

Record of time spent outdoors

Study participants

5

Hours spent outdoors


Interviewers will be trained by CDC staff to oversee and/or conduct, as appropriate, study activities.

Respondents will be recruited using a flyer (Attachment 4 - Flyer) placed in areas where Florida Department of Protection staff will see them, where fishing charters are arranged, and where fishing boat crews congregate. A Screening/ Baseline Survey (Attachment 5 – Screening/Baseline Survey) will be used to screen potential respondents for interest and eligibility. Consent to participate in the investigation will be obtained using a paper consent form (Attachment 6 – Consent Form), which the respondent will read and sign. The consent forms will provide the following information: purpose of the data collection, list of activities for respondents, description of risks, data/information disclosure possibilities, description of benefits, compensation, treatment for injury, contacts for questions, and a statement about voluntary participation, refusal, and withdrawal.

If someone meets our inclusion criteria and agrees to participate, we will ask them to do the following:

  • Read and sign a consent form (Attachment 6 – Consent Form)

  • Make 5 appointments with study staff to do study activities (study days 1, 2, 3, 4, and 5; NOTE: days not consecutive but occur across bloom season—one day at the beginning of the bloom, 3 during the bloom, and one at the end of the bloom)

  • On study days 1, 3, and 5:

    • Provide a blood specimen for liver enzyme levels and creatinine levels in the morning (Attachment 8 –Providing Blood Specimen)

    • Receive training on how to collect a urine sample (one time only)

    • Do the following in the morning and evening:

      • Complete symptom survey (Attachment 7 – Symptom Survey)

      • Provide urine specimen for cyanobacterial toxin levels (Attachment 9 – Providing Urine, Lung Function Test, Nasal Swabs)

      • Perform lung function test

      • Provide nasal swab for cyanobacterial toxin levels

    • Wear a personal air sampler during the day (Attachment 10 – Be Outfitted with Personal Air Sampler)

    • Record time spent outdoors using our form (Attachment 11 – Record of Time Spent Outdoors)

    • Allow study staff to put air samplers (one for aerosols, one for gases and vapors (e.g., hydrogen sulfide) near their home or worksite (if respondent works on the water)

    • At the end of the day, allow study staff to collect air monitoring equipment

    • Provide a fish if they fish on the study day (Attachment 12 – Record of Fish for Analysis by EPA)

  • On study days 2 and 4:

    • Do all study activities they do on study days 1, 3, and 5, except that they will not need to give us a blood sample.



We are requesting multiple responses from each participant for a number of reasons. We cannot predict when the cyanobacteria will bloom nor when or whether the bloom will produce toxins; thus, we will collect data over the bloom season. The blooms typically comprise different organisms over time, and we would like to assess exposure to the blooms as they evolve. Finally, we would like to know if the toxins or effects of the toxin accumulate or worsen over time as a person is exposed.

B.3. Methods to Maximize Response Rates and Deal with No Response



CDC staff recently attended a public meeting in Stewart, Florida and a federal and state agency meeting in Fort Myers, Florida where we learned of extensive public concern about cyanoHABs and health. Given the amount of media attention given to the blooms, and the community concern discussed at a meeting of local elected officials on May 7, 2019 in Stewart, Florida, we expect to be able to recruit 200 eligible study participants.

We plan to screen 250 potential participants for eligibility, 50 will not be eligible or will choose not to participate. Again, given the level of public concern, we expect to be able to recruit 200 eligible study participants. We will enroll people during an individual interview that will completely describe study activities (see Attachment 5 – Consent Form) to ensure that study participants know what is expected of them before they agree to participate.

B.4. Test of Procedures or Methods to be Undertaken



We pilot tested both the flyer and the survey with 9 individuals, including CDC staff (scientists and non-scientists). We did not make any changes to the forms as none were suggested. We used that pilot testing to estimate the time burdens acknowledged on the forms.

B.5. Individuals Consulted on Statistical Aspects and Individuals Collecting and/or Analyzing Data



Individuals consulted on statistical aspects and individuals collecting and/or analyzing the data from this study are in Table B.5.1.

Table B.5.1. Individuals consulted on statistical aspects and individuals collecting and/or analyzing the data from this study


Name

Title

Affiliation

Phone

Email

Consultations outside the agency

Lesley D’Anglada, DrPH, MEH

Senior microbiologist

Office of Science and Technology, U.S. EPA

202-566-1125

[email protected]

Keith Loftin, PhD

Water quality specialist

U.S. Geological Survey (USGS), Kansas Water Science Center

785-832-3543

[email protected]

Greg Boyer, PhD

Professor

SUNY College of Environmental Science and Forestry

315-470-6825

[email protected]

Barry Rosen, PhD

Biologist

USGS, Florida

407-738-0669

[email protected]

Andrew Reich

Marine Toxin Specialist

Florida Department of Health

813-307-8015 x 5961

[email protected]

Alice M. Shumate, PhD, MPH

LCDR


Co-Director, Center for Maritime Safety and Health Studies


Respiratory Health Division at NIOSH

Phone: 509-354-8018


[email protected]


Kathleen Clark PhD MS RRT CPFT

Research Epidemiologist


CDC/NIOSH/RHD/Surveillance Branch


(304) 285-5764

[email protected]


Consultations inside the agency

Stephanie Kieszak, MA, MPH

Statistician

National Center for Environmental Health (NCEH)

770-488-3407

[email protected]

Dana Flanders

Statistician

Emory University/NCEH

404-727-8716

[email protected]


David Olson

Statistician

NCEH

770-488-3724

[email protected]

Elizabeth Hamlin

Research Chemist

Division of Laboratory Sciences, NCEH

770-488-7082

[email protected]

Kanta Sircar

Epidemiologist

NCEH

770-488-3384

[email protected]


Individuals involved in collecting and/or analyzing data

Lorraine Backer

Environmental epidemiologist

CDC

770-488-3426

[email protected]

Amy Lavery

Epidemiologist

CDC

404-498-5304

[email protected]

Andrew Reich

Marine Toxin Specialist

Florida Department of Health

813-307-8015 x 5961

[email protected]

Stephanie Kieszak, MA, MPH

Statistician

National Center for Environmental Health (NCEH)

770-488-3407

[email protected]

Dana Flanders

Statistician

Emory University/NCEH

404-727-8716

[email protected]


David Olson

Statistician

NCEH

770-488-3724

[email protected]






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