Impact of Cigar Physical Variability on Cigar Exposure ... · Impact of Cigar Physical Variability...
Transcript of Impact of Cigar Physical Variability on Cigar Exposure ... · Impact of Cigar Physical Variability...
Impact of Cigar Physical Variability on Cigar Exposure using Probabilistic Risk Assessment
ITG Brands Product Science
Greensboro, NC USA
F. Ayala-Fierro, K. Kosaraju, R. Stevens
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Cigars are unique tobacco products that come in wide variety of sizes:
length, diameter and weight. They can be separated into two categories,
Premium and Mass Market Cigars (MMCs)
• Natural variability in tobacco leaves and shapes
The variations in cigar size influence exposure by oral and inhalation
routes
MMC cigar smokers are typically dual users of cigars and conventional
cigarettes and practice partial smoking and re-lighting (CDC/CTP 2014)
• However, only 35.1% premium cigar smokers display dual use
Cigarillo consumption varies widely from as few as 1 per week to daily
consumption which determines total smoking time (days/year)
2017 CORESTA SSPT 8-12 October 2017
Cigar Variability
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Risk = Hazard x Exposure
2017 CORESTA SSPT 8-12 October 2017
Risk = Hazard x Exposure
Non-Carcinogenic = Analyte x Exposure
Carcinogenic
Inhalation Exposure (Lifetime Average Daily Intake):
LADI= (C x CpW x CW x ED x EF)/ (BW x DIR x AT x CF)
C: Constituent yield; CpW: cigars per week; CW: cigar weight; ED: exposure duration; EF: exposure
frequency; BW: body weight; DIR: daily inhalation rate; AT: averaging time
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PRA employs a probability based approach to address the contribution
of variability and uncertainty around assumptions used to estimate the
overall risk
Carcinogenic: Incremental Lifetime Cancer Risk, ILCR
Non-carcinogenic: Hazard Quotient, HQ
Probabilistic Risk Assessment (PRA)
2017 CORESTA SSPT 8-12 October 2017
QRA: Point estimates PRA: Probabilistic distribution
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Variable Likeliest Value Distribution (Min,Max) Reference
C Variable Mean ± S.D. CRM-64 HPHC yield (µg/g cigar)
CpW* 6 cigars/week BetaPERT (1-58) 6 units per week; internal survey data
CW* 9.85 g/cigar Lognormal (-18.56, 9.85,4.01) Public literature data
ED 32 years BetaPERT (7-70) Santamaria 2016
EF 52 weeks/year NA Default value
AT 11,680 days BetaPERT (2,555-25,550) 32 yrs x 365 days
DIR 193.99 L/kg-d Gamma (31.27, 2.46) CalEPA (2003)
CF 0.001 m3/L NA Conversion factor
BW 84.6 kg Lognormal (0, 4.44,0.23) NHANES 2013/2014
Exposure Variables for PRA
2017 CORESTA SSPT 8-12 October 2017
Variables are proposed for method validation purposes
*Variables are adjusted for each type and category of cigar
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Cigar Weight
2017 CORESTA SSPT 8-12 October 2017
Publically available data
Data points do not represent all type/category of cigars.
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Smoke Data for Selected Constituents
2017 CORESTA SSPT 8-12 October 2017
Smoke Constituent
[Yield]
Commercial Product 1
(2.39 ± 0.15 g)
Commercial Product 2
(2.28 ± 0.18 g)
µg/cigar µg/g tobacco µg/cigar µg/g tobacco
Acetaldehyde 2740 ± 203 1148 ± 84.9 2380 ± 359 1046 ± 157.6
Formaldehyde 17.1 ± 4.5 7.15 ± 1.9 18.9 ± 3.7 8.3 ± 1.6
NNN 0.469 ± 0.076 0.197 ± 0.032 0.571 ± 0.074 0.251 ± 0.032
Ammonia 44.5 ± 4.2 18.7 ± 1.7 57.9 ± 9.8 25.4 ± 4.32
Products are similar in manufacturing specs
CORESTA (CRM-64) - for method-validation purposes
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PRA Exposure Estimates
2017 CORESTA SSPT 8-12 October 2017
Smoke Constituent
[Yield]
Commercial Product 1 Commercial Product 2
Median 5th – Mean – 95th Median 5th – Mean – 95th
Acetaldehyde 723 99.6 – 1165 – 3720 646 87.8 – 1059 – 3357
Formaldehyde 4.34 0.56 – 7.24 – 23.3 5.09 0.69 – 8.41 – 27.3
NNN 0.12 0.02 – 0.2 – 0.64 0.16 0.02 – 0.25 – 0.82
Ammonia 11.8 1.62 – 18.9 – 60.7 15.8 2.17 – 25.7 – 83.3
LADI, Lifetime Average Daily Intake in µg/m3
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PRA Exposure Estimate - Acetaldehyde
2017 CORESTA SSPT 8-12 October 2017
Contribution to Variance (%): Acetaldehyde
Variable CP1 CP2
CW 50.3 49.8
CpW 17.7 17.4
ED 13.1 12.6
AT -12.3 -12.1
BW -3.9 -4.0
DIR - 2.0 -2.0
Other 0.6 0.9
1200
1000
800
600
200
400
CP1 CP2
Ac
eta
lde
hyd
e (
µg
/g)
1059 1164
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PRA Exposure Estimate - Formaldehyde
2017 CORESTA SSPT 8-12 October 2017
Contribution to Variance (%): Formaldehyde
Variable CP1 CP2
CW 47.3 48.9
CpW 16.7 17.1
ED 12.7 12.8
AT -11.5 -12.0
BW -3.7 -3.7
C (Formaldehyde) 5.9 3.4
Other 1.0 1.0
CP1 CP2
9
7
5
1
3
Fo
rma
lde
hyd
e (
µg
/g)
8.41 7.24
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PRA Exposure Estimate – NNN
2017 CORESTA SSPT 8-12 October 2017
Contribution to Variance (%): NNN
Variable CP1 CP2
CW 49.2 50.0
CpW 17.4 17.5
ED 12.8 13.0
AT -12.3 -12.4
BW -3.9 -3.8
C (NNN) 2.3 - -
DIR - - -1.9
Other 1.0 0.4
NN
N (
ng
/g)
250
200
150
50
100
CP1 CP2
0.25 0.2
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PRA Exposure Estimate – Ammonia
2017 CORESTA SSPT 8-12 October 2017
Contribution to Variance (%): Ammonia
Variable CP1 CP2
CW 50.1 49.2
CpW 17.7 17.2
ED 13.1 12.8
AT -12.3 -12.1
BW -3.9 -3.9
C (Ammonia) - - 2.6
DIR - 2.0 -0.1
Other 0.8 - -
25
20
15
5
10
CP1 CP2
Am
mo
nia
(µ
g/g
)
25.7 18.9
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Comparison of analyte point concentrations showed that two MMC cigar
products might be associated with different risk
However, a comparison of probability distributions of exposures showed no
significant differences for exposure estimates
Exposure estimates are mostly attributed to variability associated with the
parameters of exposure: cigar physical variability, CW; cigar consumption,
CpW; and exposure duration, ED
PRA is a good tool when comparing exposure of two products to better
understand the contribution of variability and uncertainty associated with
exposure/risk assessment
Conclusions
2017 CORESTA SSPT 8-12 October 2017
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