|
Occupational
exposure and hepatitis C
Clinical
bottom line
Occupational exposure to blood,
including needlestick injuries, is a risk factor for hepatitis C.
Reference
LJ Yee et al.
Risk factors for acquisition of hepatitis C virus infection: a case
series and potential implication for disease surveillance. BMC
Infectious Diseases 2001 1: 8 ( ).
Study
This study examined risk factors
for acquisition of hepatitis C virus infection in the United States [3].
Consecutive chronically infected Hepatitis C Virus patients eligible for
a clinical trial were recruited, with HBV and HIV as specific
exclusions, as was advanced liver disease. A detailed questionnaire
about risk factors was completed during an interview with a single
investigator.
Results
There were 148 patients (88 men, 60
women) aged 18 to 72 years (mean 45 years).Only 5% had no known risk
factor, and the most commonly found known risk factors were injected
drug use, sharing razors and toothbrushes, body piercing, being a
recipient of blood products, sexual exposure and occupational exposure
to blood in 48% to 32% of cases. Tattooing was associated with 17% of
cases.
Exposure to risk factors differed
greatly between men and women, with 92% of women having body piercing
(Figure 1).
|
Most cases had more than one risk factor.
Of the 23 persons with a single risk factor 3 underwent body
piercing, and one had a needlestick exposure.
Comment
This study confirms the fact the
occupational exposure to blood carries a risk of contracting
hepatitis C. |
|
Risk factors for
acquisition of hepatitis C virus infection: a case series and
potential implications for disease surveillance
1Department
of Epidemiology and International Health, School of Public Health,
University of Alabama at Birmingham, Birmingham, Alabama, 35294, USA
2Department of Medicine, Division of Gastroenterology/Hepatology
(UAB Liver Center), School of Medicine, University of Alabama at
Birmingham, Birmingham, Alabama, 35294, USA
3Infectious Disease Epidemiology Unit, London School of
Hygiene and Tropical Medicine, London WC1E 7HT, United Kingdom
4Biostatistics Unit, Comprehensive Cancer Center, The
University of Alabama at Birmingham, Birmingham, Alabama,
35294-0007, USA
5Division of Gastroenterology, Department of Medicine,
School of Medicine, The University of South Alabama, Mobile Alabama,
36617-2293, USA
BMC Infectious Diseases 2001 1:8
© 2001 Yee
et al; licensee BioMed Central Ltd. Verbatim copying and
redistribution of this article are permitted in any medium for any
non-commercial purpose, provided this notice is preserved along with
the article's original URL. For commercial use, contact info@biomedcentral.com
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Abstract
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Background Transmission of hepatitis C vims (Hepatitis C
Virus) is strongly associated with use of contaminated blood
products and injection drugs. Other "non-parental" modes of
transmission including sexual activity have been increasingly
recognized. We examined risk factors for acquiring Hepatitis C Virus
in patients who were referred to two tertiary care centers and
enrolled in an antiviral therapy protocol.
Methods
Interviews of 148 patients were conducted apart
from their physician evaluation using a structured questionnaire
covering demographics and risk factors for Hepatitis C Virus
acquisition.
Results
Risk factors (blood products, injection/intranasal
drugs, razor blades/ toothbrushes, body/ear piercing, occupational
exposure, sexual activity) were identified in 141 (95.3%) of
participants; 23 (15.5%) had one (most frequently blood or drug
exposure), 41 (27.7%) had two, and 84 (53.4%) had more than two risk
factors. No patient reported sexual activity as a sole risk factor.
Body piercing accounted for a high number of exposures in women. Men
were more likely to have exposure to street drugs but less exposure
to blood products than women. Blood product exposure was less common
in younger than older Hepatitis C Virus patients.
Conclusion
One and often multiple risk factors could be
identified in nearly all Hepatitis C Virus-infected patients seen in
a referral practice. None named sexual transmission as the sole risk
factor. The development of a more complete profile of factors
contributing to transmission of Hepatitis C Virus infection may
assist in clinical and preventive efforts. The recognition of the
potential presence of multiple risk factors may have important
implications in the approach to Hepatitis C Virus surveillance, and
particularly the use of hierarchical algorithms in the study of risk
factors.
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Background
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An estimated 4 million individuals in the United
States and 200 million people worldwide are infected with the
hepatitis C virus (Hepatitis C Virus) . Infection with Hepatitis C
Virus may lead to disabling symptoms, cirrhosis and hepatocellular
carcinoma and is said to account for a significant proportion of
end-stage liver disease among Hepatitis C Virus-infected individuals
(incidence of 3.1 per 1000 person-years). From 2010–2019, Hepatitis
C Virus may lead to the loss of 1.83 million years of life among
those under 65, at a societal cost of billions of dollars.
Blood-borne transmission of Hepatitis C Virus
infection is undisputed and reflected in the prevalence of Hepatitis
C Virus among injection drug users (IDUs) and patients exposed to
contaminated blood products. Hepatitis C Virus infection has also
been linked to other exposures such as intranasal cocaine use
("snorting") , which probably promotes passage through vessels of
the nasal septum. Centers for Disease Control and Prevention (CDC)
data have highlighted sexual exposure without other risk factors in
15–20% patients; two-thirds had an anti-Hepatitis C Virus positive
sexual partner, but sexual practices appear to play a minor role
among IDUs. For a perspective on tertiary care settings we inquired
about the routes of infection in referred patients. We aimed to
examine the distribution of risk factors for Hepatitis C Virus
acquisition among patients chronically infected with Hepatitis C
Virus who were seeking anti-viral treatment in a tertiary care
setting
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Methods
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We recruited consecutive chronically infected
Hepatitis C Virus patients eligible for a trial of interferon-alpha
and ribavirin therapy at two academic referral settings. They were
selected from over 2500 patients referred to the University of
Alabama at Birmingham Liver Center and the University of South
Alabama Gastroenterology and Hepatology Division. Concomitant HBV or
HIV infection or advanced liver disease (decompensated cirrhosis)
were trial exclusion criteria. Extensive data on demographic factors
as well as routes and estimated year of exposure to known Hepatitis
C Virus risk factors were gathered in an interviewer-assisted
questionnaire . Sexual exposure, in the present study, was defined
as having at least 1 sexual contact with an individual known or
suspected to have Hepatitis C Virus. One investigator (LJY)
conducted all interviews privately with assurance that data would
remain separate from medical records. To enhance recall, questions
were repeated with different phrasing. Standard statistical methods
including calculations of prevalence, mean, median and standard
deviation were applied using SAS® software (Cary, NC).
This study was approved by the Institutional Review Board for Human
Use of the University of Alabama at Birmingham and patients gave
informed consent for the interviews.
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Results
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Demographics Patient age ranged from 18 to 72 years with the
mean ± SD of 45 ± 8.1 years and a median age of 44 years. Of 148
patients, 88 (59.5%) were males; 130 (88%) were Caucasians and 18
(12%) were African-Americans; 126 (85%) had completed high school.
Frequency of risk factors
Most patients (80%) reported more than one
potential exposure to Hepatitis C Virus. Only 7 individuals (4.7%)
reported no risk factor. Injection drug use was strongly associated
with cocaine use (over 90% of individuals had both) and therefore
they were combined in the analysis. Among those who did not report
concomitant cocaine and injection drug use, the majority reported
only using injection drugs and as a result of these small numbers,
an analysis of cocaine as a sole risk factor was precluded. Of the
23 persons with one risk factor, 10 (43.5%) had received a
transfusion, 7 (30.4%) used intravenous drugs or cocaine; 3 (13.0%)
underwent body/ear piercing, 2 (8.7%) shared razors and
toothbrushes, and 1(4.3%) had occupational exposure (needle stick,
and exposures to major amounts of blood, as from work in an
emergency room or administering first aid at a construction site).
In no case was sexual activity reported as an independent risk
factor.
Risk Factors and demographic
characteristics
Patients exposed to blood products tended to be
older while IDUs and patients with sexual exposure or tattoos tended
to be younger. Women reported more risk factors than men. Exposure
to blood products was considerably more common in women than men and
exposure to intravenous drugs and intranasal cocaine more common in
men than women. Neither race nor education was associated with the
number of risk factors.
Prevalence of sexual exposure
in conjunction with other risk factors
Sexual exposure was reported by 14 of 54 (25.9%)
patients who had been tattooed, 33 of 53 (62.3%) who shared
razors/tooth brushes, and 16 of 34 (47.1%) who received blood/blood
products.
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Discussion
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Numerous risk factors promote Hepatitis C Virus
acquisition, and multiple risk factors may be present in a single
individual. Infected persons cannot be dichotomized into "injection
drug users" and "blood product recipients;" many in each group may
have other risk factors as well. Investigators pursuing research on
the origin or duration of Hepatitis C Virus infection by sexual
routes should consider multiplicity of exposure in designing studies
in various settings. For example, blood contact from frequent
sharing of razors could also result in Hepatitis C Virus
transmission.
The recent United States National Health and
Nutrition Examination Surveys III (NHANES III), based on a random
probability cluster sample, found a high prevalence of Hepatitis C
Virus among African-Americans. In contrast, our patients were
recruited into an Hepatitis C Virus study protocol after satisfying
enrollment criteria, and African-Americans were under-represented
relative to the Birmingham city and Alabama state populations. Less
than 10% of our population was uninsured and this demographic
probably more closely resembles those seen in offices of private
physicians than in other groups (such as a random population
sample). Because ongoing Hepatitis C Virus awareness campaigns will
likely bring increasing numbers of Hepatitis C Virus patients to
private physicians, those physicians should be providing appropriate
advice on disease management (e.g., curtailing alcohol consumption
and consideration of antiviral therapy). They may advise patients on
preventing spread of the virus, but also prevent excessive anxiety
in this respect. Under most circumstances transmission rates are
low, but all potential sources of transmission should be discussed.
Currently in the United States for most physicians
in private practice, Hepatitis C Virus patients frequently first
present with abnormal alanine amino transferase (ALT) levels or are
found to be Hepatitis C Virus positive as part of a routine health
check for life insurance or attempt to donate blood. With the
increased Hepatitis C Virus awareness campaigns, however, it is
plausible that an increasing number of patients seen in physician
offices are there because they have a history of injection drug use
or have received at sometime in the past blood or blood products and
consequently over-represent the number of individuals with known
risk factors. It is also possible that due to the exclusion criteria
of our study (none were HIV or HBV positive) those with "high risk"
sexual behaviors were excluded from this study. Addressing these
issues was out of the scope of the present case series; however they
should be addressed in future protocols examining Hepatitis C Virus
transmission in specific "high-risk" groups such as those with a
high prevalence of HIV disease, or those who had Hepatitis C Virus
diagnosed in clinics for the treatment of sexually transmitted
diseases. A case-control comparison of tertiary care and primary
care clinic populations would help clarify some of these issues.
Although blood transfusion was recently reported to
account for only 7% of Hepatitis C Virus infections in the US, 40%
of our patients received transfusions. Many of these patients were
identified in Hepatitis C Virus-screening campaigns that focused on
recipients of transfusions before 1992, prior to the introduction of
more sensitive Hepatitis C Virus testing. In our population the
older age of recipients of blood products compared with IDUs likely
reflects a cohort effect due to the relatively higher risk of
acquiring Hepatitis C Virus from blood transfusion in the more
distant past.
Sexual activity was not implicated as an
independent risk factor even after exclusion of individuals exposed
to blood or injection drugs. Other studies, including those among
spouses, have suggested low sexual transmission of Hepatitis C Virus
. Frequent sharing of razors and toothbrushes among persons who
reported sexual exposure also belies the automatic assumption of
sexual transmission between a dually infected couple. The assessment
of risk remains particularly difficult when comparing infrequent but
high-risk contact (e.g. parenteral exposure) with more frequent but
lower risk exposure such as sexual activity. Even with our
relatively general definition of sexual exposure, we were unable to
observe any individuals with sexual contact as a sole risk factor.
Inability to test all current and/or past sexual partners of
individuals reporting sexual exposure precluded definitive
confirmation of partner Hepatitis C Virus status. We were therefore
unable to separate those who had at least one reported sexual
contact with a person suspected of having Hepatitis C Virus from
those who had at least one sexual contact with a person known to
have Hepatitis C Virus. Factors like piercing and tattooing may need
to be refined into different levels of risk depending upon the
setting (e.g. service by an unskilled individual versus a
professional trained in proper hygiene).
The multiplicity of risk factors observed in our
case series presents some important ramifications with respect to
disease surveillance. Many of the disease surveillance networks
employ a hierarchical algorithm to determine routes for Hepatitis C
Virus acquisition when multiple risk factors are present in
individuals. While these hierarchies are based on the presumed
likelihood of transmission per exposure, their use may potentially
obscure the true contribution of "lower risk" exposures. Clearly,
alternative methods of modeling risk factors should also be
considered. Most importantly, attributing Hepatitis C Virus
acquisition to "lower risk" behaviors such as sexual exposure should
be done with caution, and only after exclusion of other risk
factors, and in particular, those of "higher risk," such as
parenteral contact. Detailed inquiry into risk factor exposure may
also increase accuracy in the ascertainment of the time of Hepatitis
C Virus acquisition. Accurate estimates of the duration of infection
have proved useful in interpreting data on factors that influence
rate of disease progression. If a high number of individuals have
multiple risk factors, this may provide an inappropriate picture of
the true distributions of risk factors and consequently, routes of
acquisition.
In summary, identification of multiple risk factors
for Hepatitis C Virus infection may be valuable for both individual
patient assessment and population studies. The presence of multiple
risk factors within individuals should also prompt us to re-evaluate
how we interpret and present surveillance data.
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Acknowledgements |
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This study was supported by an unrestricted grant
in aid of hepatitis C research provided by Schering-Plough
/Integrated Therapeutics Inc. to the UAB Liver Center (D.J.vL)
We would like to acknowledge the support of the
Alabama Hepatitis C Study Group: Joseph R. Bloomer, Gary A. Abrams,
Brendan M. McGuire, Michael B. Fallon, Tracey Gwaltney, Emilie
Barnett, Anita Johnson, and Clint Nail.
We are grateful to the CDC Sentinel Counties
Surveillance System and the Vermont Hepatitis Investigation for
providing their questionnaires which helped with developing our
focused questionnaire.
This study was presented, in part, at the 10th
International Symposium on Viral Hepatitis and Liver Disease in
Atlanta, Georgia, USA, April 12, 2000.
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Table 1A
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Number of known
risk factors in 148 patients with chronic hepatitis C infection
evaluated at two Alabama tertiary care medical centers. A. Number
and % of patients exposed to each risk factor (includes multiple
exposures)*
|
|
KNOWN RISK
FACTOR |
N (%) |
REFERENCES |
|
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|
No known risk
factor |
7 (4.7) |
— |
|
Injection Drug
or intranasal cocaine use |
71 (48) |
7 |
|
Sharing of
razors and toothbrushes |
65 (44) |
17,18 |
|
Body/ear
piercing |
63 (42.6) |
7,17 |
|
Recipient of
blood (products) before 1992 |
62 (41.9) |
7, 19, 20 |
|
Sexual
exposure |
55 (37.2) |
1,8 |
|
Occupational
exposure to blood |
47 (31.8) |
21 |
|
Tattooing |
25 (16.9) |
17,22,23 |
|
Hemodialysis |
0 (0) |
24,21 |
|
Acupuncture |
0 (0) |
25,26 |
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|
*For
example, if an individual has exposure to both blood products and
tattooing, they are counted under "Tattooing" as well as "Recipient
of blood (products) before 1992" |
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Table 1B
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B. Number and % of
the 148 patients exposed to successively higher numbers of different
risk factors simultaneously (frequency of multiple risk factors).
|
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NO. RISK
FACTORS |
NO. PATIENTS
(%) |
|
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|
No known risk
factor |
7 (4.7) |
|
1 |
23 (15.5) |
|
2 |
41 (27.7) |
|
3 |
38 (25.7) |
|
4 |
21 (14.2) |
|
5 |
13 (8.8) |
|
6 |
5 (3.4) |
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Table 2
|
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Number and % of
148 patients with risk factors for Hepatitis C Virus infection at
two Alabama tertiary care medical centers, stratified by age, gender
and race.
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|
RISK FACTOR |
BY AGE |
BY GENDER |
BY RACE |
|
|
≤ 45 |
>45 |
Male |
Female |
White |
Black |
|
|
N (%) |
N (%) |
N (%) |
N (%) |
N(%) |
N (%) |
|
|
N = 88 |
N = 60 |
N = 88 |
N = 60 |
N = 130 |
N = 18 |
|
|
|
Blood/Blood
Prod |
29 (33.0) |
32 (53.3) |
22 (25) |
40 (66.7) |
54 (41.5) |
7 (38.9) |
|
Drug Use |
52 (59.0) |
19 (31.7) |
57 (64.8) |
14 (23.3) |
60 (46.2) |
11 (61.1) |
|
Body/Ear
Piercing |
45 (51.1) |
28 (46.7) |
18 (20.5) |
55 (91.7) |
61 (46.9) |
11 (61.1) |
|
Occupational |
31 (35.2) |
16 (26.7) |
26 (29.5) |
21 (35.0) |
37 (28.5) |
10 (55.6) |
|
Tattooing |
18 (20.5) |
7 (11.7) |
18 (20.5) |
7 (11.7) |
24 (18.5) |
1 (5.6) |
|
Sexual
Exposure |
42 (47.7) |
13 (21.7) |
62 (70.5) |
23 (38.3) |
50 (38.5) |
5 (27.7) |
|
Sharing of
razors/ |
42 (47.7) |
23 (38.3) |
36 (40.9) |
29 (48.3) |
56 (43.1) |
9 (50) |
|
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