|
Socio-demographic
determinants of coinfections by HIV, hepatitis B and hepatitis C
viruses in central Italian prisoners
Giuseppe La Torre1 , Luca Miele2 , Giacomina Chiaradia1 , Alice
Mannocci1 , Manuela Reali1 , Giovanni Gasbarrini2 , Elisabetta
De Vito3 , Antonio Grieco2 and Walter Ricciardi1
1 Institute of Hygiene Catholic University of the Sacred
Heart, Rome, Italy
2 Institute of Internal Medicine Catholic University of the
Sacred Heart, Rome, Italy
3 Chair of Hygiene University of Cassino, Cassino, Italy
author email corresponding author email
http://www.biomedcentral.com/1471-2334/7/100
BMC Infectious Diseases 2007, 7:100doi:10.1186/1471-2334-7-100
© 2007 La Torre et al; licensee BioMed Central Ltd.
This is an Open Access article distributed under the terms of
the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0),
which permits unrestricted use, distribution, and reproduction
in any medium, provided the original work is properly cited.
Abstract
Background
The coinfections HIV/HCV/HBV are an important health issue in
penitentiary communities. The aim of the study was to examine
HIV, HBV and HCV coinfections determinants amongst prisoners in
the jails of Southern Lazio (Central Italy), in the period
19952000.
Methods
Diagnosis of seropositivities for HIV, HBV and HCV was made
using ELISA method. A multiple logistic regression analysis was
conducted to verify the influence of socio-demographic factors
on the HIV/HBV/HCV coinfections.
Results
HIV/HCV, HBV/HCV and HIV/HBV coinfections were detected in 42
(4%), 203 (17.9%) and 31 (2.9%) inmates, respectively. These
coinfections are significantly associated with the status of
drug addiction (OR = 16.02; p = 0.012; OR = 4.15; p < 0.001; OR
= 23.57; p = 0.002), smoking habits (OR = 3.73; p = 0.033; OR =
1.42; p = 0.088; OR = 4.25; p = 0.053) and Italian nationality
(OR = 7.05; p = 0.009; OR = 2.31; p < 0.001; OR = 4.61; p =
0.04).
Conclusion
The prevalence of HIV, HBV and HCV seropositivity in jails
suggests that information and education programs for inmates
could be useful to reduce the spread of such infections.
Background
Human Immunodeficiency Virus (HIV) and the hepatitis C virus (HCV)
or hepatitis B virus (HBV) coinfections represent a public
health problem of growing importance. Because of the similar
modes of spread, many people are coinfected with HIV and HCV,
HIV and HBV, and in some cases with all three viruses at the
same time. In particular, HCV and HIV are called the "twin
epidemics": in fact, both are blood-born RNA viruses that
replicate rapidly and direct blood-to-blood transmission for
example through needle sharing is the most efficient means of
transmitting both viruses [1].
Most studies show that HIV infection leads to more aggressive
hepatitis C or hepatitis B and higher risk of liver damage [1].
Studies of how HCV and HBV affect HIV infection are less clear.
Most research shows that HCV does not accelerate HIV disease
progression, but HIV/HCV coinfection may impair immune system
recovery after antiretroviral therapy has commenced [1-3].
Coinfection can complicate treatment. People with liver damage
due to chronic hepatitis are more likely to experience
hepatotoxicity related to anti-HIV drugs, and this represents a
major concern for prison health officials dealing with infected
prisoners who need treatment, for both health management and
infections control.
Prisoners are considered to be at high risk of infection with
HIV [6-15] and other viruses (e.g. hepatitis and other sexually
transmitted infections) [16-24] due to the high proportion of
risk related behaviours during the permanence within jails, in
particular injecting illegal drugs, unprotected sexual
relations, common use of hypodermic needles for execution of
tattoos or needle sharing [25-31]. In the United States it is
estimated that the 1215% of all Americans with chronic HBV
infection, 39% of those with chronic HCV and 2026% of those
with HIV infection have a history of incarceration [32].
Among the population of injection drug users, the HIV/HCV
coinfection rate may be as high as 90% (HIV coinfection) and it
remains high also among populations of prisoner [1-5].
A history of drug use is common in detainee populations in many
countries: in the USA 7383% of prison inmates misuse drugs [33]
while in the Republic of Ireland it is estimated that 40% of
prisoners use drugs. Furthermore, an Australian study determined
that during their incarceration 2544% of inmates occasionally
injected illegal drugs, 1434% engaged in occasional anal
intercourse and 518% did both [34].
With regards to the prisoners right to health, in Italy recent
modifications of disposals on execution of punishment, safety
and preventive measures towards prisoners suffering from
HIV/AIDS have been performed [43,44]. Modifications of
penitentiary health systems have the aim of rationalising the
health interventions for prisoners (preventive, curative and
rehabilitative), which are guaranteed by the Constitution for
health services [45].
Because of the seriousness of hepatitis B virus, hepatitis C
virus, and HIV infections among inmates, it is important to know
both the prevalence of these infections and the patterns of risk
related behaviours in prison environments. We initiated a study
concerning the spread of bloodborne viruses among the prison
entrants of Southern Lazio (Italy). The aim of this study was to
investigate the association between HIV and hepatitis B and C
viruses coinfections and socio-demographic determinants.
Methods
Study design and Setting
A cross-sectional study was conducted in three jails of Southern
Lazio (Cassino, Frosinone and Latina). The study was authorized
by the Ministry of Justice upon the presentation of a detailed
research protocol (n° 43, 23-6-2001). A pilot study of 1 month
was conducted in December 2000, in order to validate the
registration procedures and the assessment form [46,47]. The
survey was carried out between January 2001- December 2002 and
took into account all male prisoners detained in the above
mentioned jails during the years 19952000.
The research was conducted according to the Helsinki
Declaration.
Data collection
As far as data collection, all the information (including the
testing) in the study came from the patients' chart, so a
retrospective collection was realised. The medical charts of the
prisoners were carefully examined by a public health doctor and
by two social workers. Information regarding socio-demographic
characteristics, life style habits and health status of
prisoners was collected. In particular, the presence of HIV, HBV
and HCV infection was ascertained testing the seropositivity
against these viruses using the ELISA method. This was feasible
because testing against these viruses is a standard procedure in
this setting, including testing inmates that both referred or
did not refer to the jail's clinic for medical reason. In the
present study we considered inmates for which HIV/HCV, HBV/HCV,
HIV/HBV testing were simultaneously present.
Since the prisoners are a vulnerable study population, their
privacy was respected by ensuring that their names and surnames
were not recorded. All of the pertinent data was transferred
onto a specially prepared form and afterwards transferred into a
database.
Statistical analysis
The tables describe the distribution of infections among inmates
according to several characteristics. The χ2 test was performed
in order to investigate the association between the presence of
HIV/HBV/HCV coinfections and socio-demographic determinants as
well as life style habits. The Fisher exact test was used where
applicable.
In order to identify risk factors associated to HIV/HCV, HBV/HCV
and HIV/HBV coinfections, three multiple logistic regression
analyses were performed, using the backward elimination
procedure as described by Hosmer and Lemeshow [48].
The goodness of fit of the regression model was tested using the
Hosmer and Lemeshow test.
The following variables were considered as covariates:
nationality (not Italian as the reference group), civil status
(single as the reference group), age group (age under 35 years
as the reference group), educational level (low level as the
reference group), number of previous detentions (first detention
as the reference group), drug addiction (no addiction as the
reference group), use of methadone (no use as the reference
group), presence of Syphilis antibodies (VDRL) (seronegativity
as the reference group), previous sexually transmitted diseases,
Tine test result (negative test as the reference group), alcohol
abuse (no abuse as the reference group) and smoking status (non
smokers as the reference group).
The level of statistical significance was fixed at p = 0.05.
The statistical analysis was performed using the statistical
software SPSS 12.0 for Windows.
Results
HIV/HCV coinfection
With regards to HIV/HCV coinfection, information relative to
1047 prisoners of male gender (502 from Cassino, 485 from
Frosinone and 60 from Latina) were found. Table 1 shows the
socio-demographic characteristics of the prisoners.
Table 1. Socio-demographic characteristics of prisoners,
according to seropositivity against HIV/HCV, HBV/HCV and HIV/HBV
|
Table 1 |
|
Socio-demographic characteristics of prisoners,
according to seropositivity against HIV/HCV, HBV/HCV and
HIV/HBV |
|
|
HIV/HCV |
|
|
HBV/HCV |
|
|
HIV/HBV |
|
|
|
|
|
Characteristic |
Total
(%) |
coinfection (%) |
p |
Total
(%) |
coinfection (%) |
p |
Total
(%) |
coinfection (%) |
p |
|
|
|
Total |
1047
(100) |
42 (4) |
|
1136
(100) |
203
(17.9) |
|
1076
(100) |
31
(2.9) |
|
|
|
|
|
|
|
|
|
|
|
|
|
Jail |
|
|
|
|
|
|
|
|
|
|
Cassino |
502
(47.9) |
11
(2.2) |
|
510
(44.9) |
56
(11.0) |
|
505(46.9) |
10(2.0) |
|
|
Frosinone |
485
(46.3) |
30
(6.2) |
0.004 |
494
(43.5) |
96
(19.4) |
<
0.001 |
511(47.5) |
19(3.7) |
0.248 |
|
Latina |
60
(5.8) |
1
(1.7) |
|
132
(11.6) |
51
(38.6) |
|
60
(5.6) |
2
(3.3) |
|
|
Tot |
1047 |
42 |
|
1136 |
203 |
|
1076 |
31 |
|
|
|
|
|
|
|
|
|
|
|
|
|
Nationality |
|
|
|
|
|
|
|
|
|
|
Italian |
773
(73.8) |
39 (5) |
|
834
(73.4) |
32
(3.8) |
|
787(73.1) |
28(3.6) |
|
|
Foreign |
274
(26.2) |
3
(1.1) |
0.007 |
302
(26.6) |
171
(56.6) |
<
0.001 |
289(26.9) |
3
(1.0) |
0.029 |
|
Tot |
1047 |
42 |
|
1136 |
203 |
|
1076 |
31 |
|
|
|
|
|
|
|
|
|
|
|
|
|
Civil status |
|
|
|
|
|
|
|
|
|
|
Single |
423
(51.5) |
16
(3.8) |
|
|
|
|
441(51.8) |
14(3.2) |
|
|
Married |
240
(29.2) |
5
(2.1) |
|
468
(51.8) |
105
(22.4) |
|
247(29.0) |
4(1.6) |
|
|
Cohabitant |
73
(9.0) |
10
(13.7) |
<
0.001 |
275
(30.4) |
36
(13.1) |
0.013 |
74
(8.7) |
7(9.5) |
0.020 |
|
Separated |
71
(8.6) |
4
(5.6) |
|
75
(8.3) |
15
(20.0) |
|
74(8.7) |
2(2.7) |
|
|
Widower |
14
(1.7) |
2
(14.3) |
|
73
(8.1) |
19
(26.0) |
|
15(1.8) |
1(6.7) |
|
|
Tot |
821 |
37 |
|
13
(1.4) |
4
(30.8) |
|
851 |
28 |
|
|
|
|
|
|
904 |
179 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Age group |
|
|
|
|
|
|
|
|
|
|
1824 |
211
(20.8) |
1
(0.5) |
|
234
(23.1) |
32
(12.1) |
|
215(20.4) |
0 (0) |
|
|
2534 |
469
(46.4) |
21
(4.5) |
|
507
(50.0) |
114
(22.5) |
|
482(45.8) |
16(3.3) |
|
|
3544 |
238
(23.5) |
17
(7.1) |
0.003 |
255
(25.2) |
47
(18.4) |
<
0.001 |
245
(23.3) |
13
(5.3) |
0.003 |
|
≥ 45 |
94
(9.3) |
1
(1.1) |
|
101
(10.0) |
5
(4.9) |
|
98(9.3) |
0 (0) |
|
|
Tot |
1013 |
40 |
|
1097 |
198 |
|
1040 |
29 |
|
|
|
|
|
|
|
|
|
|
|
|
|
Educational level |
|
|
|
|
|
|
|
|
|
|
Illiterate |
33
(3.7) |
0 (0) |
|
|
|
|
|
|
|
|
Elementary school |
300
(38.2) |
13
(4.3) |
|
33
(3.9) |
1
(3.0) |
|
36
(4.6) |
0(0) |
|
|
Jumior high school |
346
(46.3) |
16
(4.6) |
0.535 |
339
(40.5) |
63
(18.6) |
0.018 |
309(39.8) |
9(2.9) |
0.784 |
|
Senior high school |
64
(10.6) |
1
(18.9) |
|
382
(45.7) |
92
(24.1) |
|
358(46.1) |
8(2.2) |
|
|
Degree |
8
(1.2) |
0 (0) |
|
73
(8.7) |
11
(15.1) |
|
65(8.4) |
1(1.5) |
|
|
Tot |
751 |
39 |
|
9
(1.1) |
1(11.1) |
|
9(1.2) |
0(0) |
|
|
|
|
|
|
836 |
168 |
|
777 |
18 |
|
|
|
|
|
|
|
|
|
|
|
|
|
Num. of detentions |
|
|
|
|
|
|
|
|
|
|
First detention |
682
(68.8) |
21
(3.1) |
|
734
(68.2) |
129
(17.6) |
|
689(67.7) |
16(2.3) |
|
|
> 1 detention |
309
(31.2) |
20
(6.5) |
0.016 |
342
(31.8) |
65
(19.0) |
0.570 |
328(32.3) |
13(4.0) |
0.142 |
|
Tot |
991 |
41 |
|
1076 |
194 |
|
1017 |
29 |
|
|
|
|
La Torre
et al.
BMC Infectious
Diseases 2007
7:100
doi:10.1186/1471-2334-7-100 |
In relation to age, inmates ages were distributed as follow:
20.8% of inmates were 1824 years of age, 46.4% were 2534 years
of age, 23.5% were 3544 years of age and 9.3% were over 44
years of age.
The majority of inmates (46.3%) had a junior high school
education and only 1.2%, had an educational level higher than
secondary school. 773 prisoners (73.8%) were Italian and 274
(26.2%) were of a foreign nationality. 51.5%, had never been
married, 38.2% were currently married or cohabiting and 10.3%
were separated or widower.
In terms of the number of detentions, for 682 prisoners (68.8%)
it was the first episode, while the other 309 persons (31.2%)
had at least one other previous experience of detention. HIV/HCV
coinfection was diagnosed in 42 individuals (4% of tested
prisoners): 11 in Cassino (2.2%), 30 in Frosinone (6.2%) and 1
in Latina (1.7%).
Statistically significant differences in HIV/HCV coinfection
were found for the following variables: the jail (p = 0.004),
the nationality (p = 0.007), civil status (p < 0.001), age group
(p = 0.003) and the number of detentions (p = 0.016).
Table 2 shows characteristics of the 1047 prisoners. With
respect to drug use, 479 prisoners (45.7%), were drug addicted
at the time of incarceration and 52 (5%) were former addicted.
Table 2. Health status characteristics, according to
seropositivity against HIV/HCV, HBV/HCV and HIV/HBV coinfection
among inmates in Southern Lazio
|
Table 2 |
|
Health status characteristics, according to
seropositivity against HIV/HCV, HBV/HCV and HIV/HBV
coinfection among inmates in Southern Lazio |
|
|
HIV/HCV |
|
|
|
HBV/HCV |
|
|
HIV/HBV |
|
|
|
|
Characteristic |
Total
(%) |
coinfection (%) |
P |
Total
(%) |
coinfection (%) |
p |
Total
(%) |
coinfection (%) |
p |
|
|
|
Drug addiction |
|
|
|
|
|
|
|
|
|
|
No |
516
(49.3) |
2
(0.4) |
|
574
(50.5) |
44
(7.7) |
|
531
(49.3) |
2
(0.47) |
|
|
Yes |
479
(45.7) |
36
(7.5) |
|
512
(45.1) |
148
(28.9) |
|
494
(45.9) |
28
(5.7) |
|
|
Former |
52 (5) |
4
(7.7) |
<
0.001 |
50
(4.4) |
11
(22.0) |
<
0.001 |
51
(4.7) |
1
(2.0) |
<
0.001 |
|
Tot |
1047 |
42 |
|
1086 |
203 |
|
1076 |
31 |
|
|
|
|
|
|
|
|
|
|
|
|
|
Drug type |
|
|
|
|
|
|
|
|
|
|
Heroin |
429
(41) |
40
(9.3) |
|
450
(39.6) |
148
(32.9) |
|
438
(40.7) |
29
(6.6) |
|
|
Cocaine |
264
(25.2) |
18
(6.8) |
|
280
(24.6) |
83
(29.6) |
|
272
(25.3) |
14
(5.1) |
|
|
Tot |
693 |
58 |
|
730 |
231 |
|
1076 |
43 |
|
|
|
|
|
|
|
|
|
|
|
|
|
Use of methadone |
|
|
|
|
|
|
|
|
|
|
No |
38
(14.4) |
0 (0) |
|
261(73.1) |
35
(13.4) |
|
249
(87.1) |
22
(8.8) |
|
|
Yes |
245
(85.6) |
32
(13.1) |
0.012 |
96
(26.9) |
95
(99.0) |
0.992 |
38
(13.3) |
0 (0) |
0.057 |
|
Tot |
283 |
32 |
|
357 |
130 |
|
286 |
22 |
|
|
|
|
|
|
|
|
|
|
|
|
|
VDRL |
|
|
|
|
|
|
|
|
|
|
Positive |
14
(1.5) |
2
(14.3) |
|
14
(1.4) |
3
(21.4) |
|
19
(1.9) |
1
(5.3) |
|
|
Negative |
972
(98.5) |
34
(3.5) |
0.09 |
982
(98.6) |
173
(17.6) |
|
993
(98.1) |
26
(2.6) |
0.479 |
|
Tot |
986 |
36 |
|
996 |
176 |
0.71 |
1012 |
27 |
|
|
|
|
|
|
|
|
|
|
|
|
|
Previous sexually transmitted |
|
|
|
|
|
|
|
|
|
|
diseases |
30
(3.2) |
3 (10) |
|
32
(3.1) |
8 (25) |
|
35
(3.7) |
2
(5.7) |
|
|
Yes |
900
(96.8) |
31
(3.4) |
0.092 |
983
(98.8) |
182
(18.5) |
0.355 |
922
(96.3) |
24
(2.6) |
0.226 |
|
No |
930 |
34 |
|
1015 |
190 |
|
957 |
26 |
|
|
Tot |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Tine test |
|
|
|
|
|
|
|
|
|
|
Positive |
38
(4.5) |
0 (0) |
|
41
(4.5) |
8
(19.5) |
|
39
(4.3) |
2
(5.1) |
|
|
Negative |
856
(95.5) |
34
(4.0) |
|
868
(95.5) |
154
(17.7) |
|
873
(95.7) |
24
(2.7) |
0.382 |
|
Tot |
894 |
34 |
0.393 |
909 |
162 |
0.772 |
912 |
26 |
|
|
|
|
|
|
|
|
|
|
|
|
|
Alcohol abuse |
|
|
|
|
|
|
|
|
|
|
Yes |
95
(9.3) |
6
(6.3) |
|
103
(9.3) |
21
(20.4) |
|
99
(9.4) |
5
(5.0) |
|
|
No |
925
(90.7) |
36
(3.9) |
0.272 |
1006
(90.7) |
178
(17.7) |
0.497 |
950
(90.6) |
25
(2.6) |
0.169 |
|
Tot |
1020 |
42 |
|
1109 |
199 |
|
1049 |
30 |
|
|
|
|
|
|
|
|
|
|
|
|
|
Smoking status |
|
|
|
|
|
|
|
|
|
|
Yes |
717
(69.6) |
38
(5.3) |
|
778
(69.5) |
160
(20.6) |
|
739(69.8) |
28
(3.8) |
|
|
No |
313
(30.4) |
4
(1.3) |
0.002 |
342
(30.5) |
39
(11.4) |
<
0.001 |
320(30.2) |
2
(0.6) |
0.004 |
|
Tot |
1030 |
42 |
|
1120 |
199 |
|
1059 |
30 |
|
|
|
|
La Torre
et al.
BMC Infectious
Diseases 2007
7:100
doi:10.1186/1471-2334-7-100 |
With regards to the type of drugs used, 429 individuals (41.0%)
were heroin dependent, 264 (25.2%) were cocaine addicts, while
amongst the drug addicts 245 individuals (85.6%) were methadone
consumers. Most individuals (54.7%) were polydrug abusers.
Table 2 shows prisoners' health characteristics with reference
to their HIV and HCV coinfection status. The χ2 test showed that
the variables significantly associated with HIV/HCV coinfection
were drug addiction (p < 0.001), use of methadone (p = 0.012)
and smoking status (p = 0.002).
The results of the multiple regression analyses are presented in
Table 3. In particular we found that HIV/HCV coinfection was
associated with the status of drug addiction (OR = 16.02; p =
0.012), age group (OR = 2.83; p = 0.004, for people of 3544
years), civil status (OR = 3.09; p = 0.007, for cohabitants),
smoking habits (OR = 3.73; p = 0.033) and Italian nationality
(OR = 7.05; p = 0.009).
Table 3. Factors associated with HIV/HCV, HBV/HCV and HIV/HBV
coinfections among inmates in Southern Lazio
Table 3
|
Table 3 |
|
Factors associated with HIV/HCV, HBV/HCV and
HIV/HBV coinfections among inmates in Southern Lazio |
|
|
HIV/HCV |
|
HBV/HCV |
|
HIV/HBV |
|
|
|
|
Characteristic |
OR
(95%CI) |
p |
OR
(95%CI) |
p |
OR
(95%CI) |
p |
|
|
|
Drug addiction |
|
|
|
|
|
|
|
No (reference group) |
1 |
|
1 |
|
1 |
|
|
Yes |
16.02
(3.79 67.74) |
0.012 |
4.15
(2.83 6.09) |
<
0.001 |
23.57
(3.16 175.83) |
0.002 |
|
|
|
|
|
|
|
|
|
Age group (years) |
|
|
|
|
|
|
|
< 35 (reference group) |
1 |
|
1 |
|
1 |
|
|
35 44 |
2.83
(1.42 5.61) |
0.004 |
1.01
(0.68 1.49) |
0.970 |
2.99
(1.39 6.53) |
0.006 |
|
≥ 45 |
0.91
(0.11 7.76) |
0.933 |
0.371
(1.14 0.95) |
0.040 |
n.a. |
n.a. |
|
|
|
|
|
|
|
|
|
Smoking status |
|
|
|
|
|
|
|
No (reference group) |
1 |
|
1 |
|
1 |
|
|
Yes |
3.73
(1.11 12.56) |
0.033 |
1.417
(0.950 2.11) |
0.088 |
4.25
(0.98 18.40) |
0.053 |
|
|
|
|
|
|
|
|
|
Nationality |
|
|
|
|
|
|
|
Foreign (reference group) |
1 |
|
1 |
|
1 |
|
|
Italian |
7.05
(1.64 30.31) |
0.009 |
2.310
(1.506 3.54) |
<
0.001 |
4.61
(1.07 19.92) |
0.040 |
|
|
|
|
|
|
|
|
|
Civil Status |
|
|
|
|
|
|
|
Single (reference group) |
1 |
|
1 |
|
1 |
|
|
Cohabitant |
3.09
(1.37 6.97) |
0.007 |
0.68
(0.36 1.27) |
0.227 |
2.84
(1.12 7.19) |
0.028 |
|
Married |
0.70
(0.23 2.13) |
0.534 |
0.86
(0.56 1.33) |
0.500 |
0.71
(0.20 2.54) |
0.598 |
|
Divorced |
0.76
(0.23 2.48) |
0.649 |
0.78
(0.25 2.52) |
0.701 |
0.82
(0.21 2.51) |
0.636 |
|
|
|
|
|
|
|
|
|
Goodness of fit |
χ2
=
0.719 |
|
χ2
=
1.649 |
|
χ2
=
2.234 |
|
|
H-L test |
p =
0.998 |
|
p =
0.895 |
|
p =
0.946 |
|
|
|
|
n.a. = not applicable |
|
La Torre
et al.
BMC Infectious
Diseases 2007
7:100
doi:10.1186/1471-2334-7-100 |
HBV/HCV coinfection
As far as HBV/HCV coinfection was concerned, information
relating to 1136 prisoners of male gender was distributed as
follows: 510 in Cassino, 494 in Frosinone and 132 in Latina. The
HBV/HCV coinfection had been diagnosed in 203 individuals (17.9%
of tested prisoners), with statistically significant differences
in the percentages among the jails (p < 0.001): 56 (2.2%) in
Cassino, 96 (19.43%) in Frosinone and 51 (38.64%) in Latina.
With regards to nationality, 73.4% were Italian and 26.6% were
foreign. Considering those persons with only coinfection, 56.6%
of them were foreign and this difference was statistically
significant (p < 0.001).
Concerning civil status, 51.8% had never been married, while
30.4% were currently married, 8.1% cohabitant and 9.5% were
separated or widower. Statistically significant differences were
found for the following variables: civil status (p = 0.013), age
group (p < 0.001) and educational level (p = 0.018). In
particular, most of the people (22.49%) were 2534 years old and
had junior high school degrees (24.08%) (Table 1).
In Table 2 significant differences in HBV/HCV coinfection group
are shown for drug addiction (p < 0.001) and smoking status (p <
0.001).
Table 3 illustrates the factors associated with HBV-HCV
coinfection, showing that coinfection is significantly
associated with drug addiction (OR = 4.15, p < 0.001), age group
(OR = 0.371, p = 0.04, for people over 45 years), and Italian
nationality (OR = 2.31, p < 0.001).
HIV/HBV coinfection
HIV/HBV coinfection was studied in 1076 prisoners and these
numbers were distributed as follows: 505 in Cassino (46.9%), 511
in Frosinone (47.5%) and 60 (5.6%) in Latina. The prevalence
rate of this coinfection was found to be 2.9%.
73.1% of the inmates were Italian and 3.56% of them had HIV/HBV
coinfections.
Most of them (51.8%) had never been married, 29.0% were
currently married, 8.7% were cohabitant and 10.5% were separated
or widower.
HBV/HCV coinfection was detected in 5.7% of the prisoners with
drug addictions, 8.89% in methadone users and 3.8% in those
inmates who smoked. With regards to educational level, 667
prisoners had an elementary or junior high school degree and 17
of them had a HBV/HCV coinfection, furthermore, only 9, of the
inmates had a tertiary level degree and none of them had
coinfections.
Statistically significant differences were found for nationality
(p = 0.029), civil status (p = 0.020), age group (p = 0.003),
drug addiction (p < 0.001) and smoking status (p = 0.004).
(Tables 1 and 2)
The association between the use of methadone and HIV/HCV
coinfection was almost significant (p = 0.057).
The regression analysis showed that factors associated with HIV/HBV
coinfection seropositivity, were drug addiction (OR = 23.57, p=
0.002), age group (OR = 2.99, p = 0.006, for people of 3544
years, Italian nationality (OR = 4.25, p = 0.04) and civil
status (OR = 2.84, p = 0.028, for cohabitants) (Table 3).
Discussion
This cross-sectional study carried out in the jails in Southern
Lazio showed a prevalence of HIV/HCV, HBV/HCV and HIV/HBV
coinfections of about 4%, 18% and 3% in inmates, respectively.
Data regarding these coinfections prevalence, even if
remarkable, could however represent a biased estimation of the
phenomenon, as screening for these infections are not mandatory
for all prisoners. In our study the percentage of prisoners
actually subjected to HIV testing was 47.37% of all prisoners.
This particular situation could be due to the fact that all of
the penitentiaries examined in our study are jails where the
prisoners are confined waiting for judgement or condemned to
punishments less than 5 years.
As depicted in other international studies, our study showed
that HIV, HBV and HCV sero-positivities coinfections are
strictly associated with the status of drug addiction,
especially intravenous heroin addiction. Moreover, the spread of
HIV and viral liver infections is due to needle sharing, the
most important risk related factor, confirming the results of
similar national [49-51] and international investigations
[7,8,12,17,28,29,31,39,41,42,52-54].
Furthermore, HIV, HBV and HCV sero-positivities are influence by
civil status, being a widower or cohabitant is significantly
associated with these coinfections.
Finally, it is possible to consider that even if health
management of HBV, HCV and HIV sero-positivities in jails
appears worrisome, there is paradoxically an opportunity for
these patients of receiving good treatment inside the prison
environment [55].
Our study has some limitations. One weakness is information
bias. The study was based on the information gathered from the
clinical charts, which may not have been complete in defining
inmates' health status and diagnostics. Moreover, for some
variables, such as educational level, and civil status, gathered
data were not complete.
It is not known whether the study population is representative
of the whole populations of participating prisons. It is
possible that drug addicts were more likely to be given a HIV,
HBV and HCV test, in which case an overestimation of the
prevalence rates of infections could occur. In this case, if we
hypothesize that all prisoners not given a test were
seronegative, we would find a prevalence of 2.45%, 10.9% and
11.6%, respectively.
A fundamental role in the control of infection from HIV in
prison environments may be found through prevention. As prisoner
populations are at high risk for all of these infections, it is
necessary for public health and institutions to collaborate to
develop HBV, HCV, HIV prevention programs, including
immunization, health education and substance abuse treatment. It
is worrisome that not all prisoners are submitted to screening
of these infections, while in other countries mandatory drug and
blood tests exists [56].
In waiting for a positive evolution in the preparation of a sure
and immunological vaccine, the application of direct and
indirect prophylaxis measures represents the more convenient way
to combat the AIDS problem in prisons.
The second fundamental aspect of the preventive strategy against
HIV/AIDS in the prison environment is the thorough observance of
hygiene rules either general or specific (i.e., personal use of
razors, teeth brush), which are often neglected, even the most
elementary ones.
The overcrowding of prisons and the consequent discomfort either
among the warders or among the prisoners has become one of the
most urgent problems to face. As reported by the WHO guideline
to the essentials in prison health, the living conditions in
most prisons of the world are unhealthy and rates of infection
with HIV and hepatitis are much higher than in the general
population [57]. Concerns exist that prisons could serve as a
reservoir for the amplification of the transmission of
infectious diseases in the wider community after the release of
inmates who have became infected while incarcerated [2].
Of those identified as being infected in prison, 85% of cases
were associated with pre-incarceration behaviours [35,36]. The
restrictive nature of the prison environment and the scarcity of
clean syringes and condoms probably heighten the hazards
associated with high risk activities, thus increasing the risk
of transmission from infected to uninfected inmates [37].
The scientific literature shows a strong connection between
infection from HIV, HBV, HCV and the group of drug-addicts in
which some risk factors are surely present [38,39]. As shown in
many studies, it is clear that although the jail can reduce the
consumers of drugs by parenteral mean, the risk to contract the
infections from HIV, HBV, and HCV would increase for people who
continue to inject toxic substances [40,41].
In conclusion, our study points out that within the inmates
population a resevoir of infected individuals exists, and that
the jails could represent a pivotal target for primary
prevention programs (for inmates, for prison guard and for the
general population when an inmate leaves the jail), secondary
prevention (in order to reduce the clinical risks for
progression of liver disease and AIDS, and to reduce costs for
management complicated infection) and tertiary prevention (to
guarantee prisoners right of health).
Conclusion
To control the diffusion of infectious diseases, and above all
HIV, in prisons, implementation of operative guidelines and
adequate funding are needed. It is therefore necessary to
promote epidemiological studies and cost analyse of the economic
impact relating to the public health of prisoners with
coinfection management, in order to know the real burden of the
problem.
Competing interests
The author(s) declare that they have no competing interests.
Authors' contributions
All of the authors participated in the establishment of the
research. GLT, EDV and WR conceived the study, participated in
its design and coordination. GLT, GC and AM performed the
statistical analysis. GLT, LM, MR and GC wrote the initial draft
of the manuscript, which GLT, GG and AG edited. All authors read
and approved the final manuscript.
Acknowledgements
The research project was approved by the Italian Ministry of
Justice.
We would to thank Wendy Morotti for the linguistic revision of
the manuscript.
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