Literature DB >> 29378859

High prevalence of latent tuberculosis and bloodborne virus infection in a homeless population.

Robert W Aldridge1,2, Andrew C Hayward1,2,3, Sara Hemming1,2,4, Susan K Yates1,2,4, Gloria Ferenando1,2,4, Lucia Possas1,2,4, Elizabeth Garber1,2,4, John M Watson1, Anna Maria Geretti5, Timothy Daniel McHugh6, Marc Lipman4,7, Alistair Story8.   

Abstract

INTRODUCTION: Urban homeless populations in the UK have been shown to have high rates of active tuberculosis, but less is known about the prevalence of latent tuberculosis infection (LTBI). This study aimed to estimate the prevalence of LTBI among individuals using homeless hostels in London.
METHODS: We performed a cross-sectional survey with outcome follow-up in homeless hostels in London. Our primary outcome was prevalence of LTBI. Recruitment for the study took place between May 2011 and June 2013. To estimate an LTBI prevalence of 10% with 95% CIs between 8% and 13%, we required 500 participants.
RESULTS: 491/804 (61.1%) individuals agreed to be screened. The prevalence of LTBI was 16.5% (81/491; 95% CI 13.2 to 19.8). In UK-born individuals, a history of incarceration was associated with increased risk of LTBI (OR 3.49; 95% CI 1.10 to 11.04; P=0.018) after adjusting for age, length of time spent homeless and illicit drug use. Of the three subjects who met English treatment guidelines for LTBI at the time of the study, none engaged with services after referral for treatment. Prevalence of past hepatitis B infection was 10.4% (51/489; 95% CI 7.7 to 13.1), and 59.5% (291/489; 95% CI 55.1 to 63.9) of individuals were non-immune. Prevalence of current hepatitis C infection was 10.4% (51/489; 95% CI 7.8 to 13.1).
CONCLUSIONS: This study demonstrates the high prevalence of LTBI in homeless people in London and the associated poor engagement with care. There is a large unmet need for LTBI and hepatitis C infection treatment, and hepatitis B vaccination, in this group. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Entities:  

Keywords:  clinical epidemiology; respiratory infection; tuberculosis

Mesh:

Year:  2018        PMID: 29378859      PMCID: PMC5969342          DOI: 10.1136/thoraxjnl-2016-209579

Source DB:  PubMed          Journal:  Thorax        ISSN: 0040-6376            Impact factor:   9.139


What is the prevalence of latent tuberculosis infection (LTBI) and bloodborne viral infections among homeless people in London, and what are the outcomes in those referred to healthcare services? People experiencing homelessness in London have a very high prevalence of LTBI, hepatitis B and hepatitis C infection and coinfection, compounded by poor engagement with care. We report for the first time on the burden of LTBI and bloodborne viruses among homeless people in a metropolitan UK setting. The findings highlight the need to ensure recent improvements in diagnostics, and therapeutic can benefit the most vulnerable and excluded populations.

Introduction

Homeless individuals have high rates of active pulmonary tuberculosis and often present late to healthcare services.1 Latent tuberculosis infection (LTBI) has been shown to be common in homeless populations in low burden countries,2 3 though limited data are available in the UK. Homelessness and tuberculosis in homeless populations are both increasingly significant problems in London. Using data collected in a multiagency database about rough sleepers and the wider street population (Combined Homelessness and Information Network (CHAIN)), it is estimated that approximately 8000 people sleep rough annually in London.4 This number has doubled from just under 4000 in 2010, while at the same time there has been has been an annual reduction in the number of homeless hostel beds for single people and couples without dependents across England from 43 655 in 2010 to 35 727 in 2016.5 In 2014, it was estimated that 3.6% (89/2498) of cases with social risk factor information available had a history of tuberculosis.6 A study undertaken to estimate the point prevalence of active tuberculosis in London estimated that while the overall prevalence was 27 per 100 000, it was considerably greater in homeless people at 788 per 100 000.1 Developments in testing and treatment for LTBI and bloodborne viruses (BBVs) provide new opportunities for effective diagnosis and management.7 8 Despite these advances, concerns remain about LTBI treatment in this homeless population due to poor treatment adherence and the potential for severe hepatotoxicity exacerbated by high rates of alcohol-related or viral-related liver disease.9 It is also important to determine the current ability of health services to successfully treat those homeless people identified with a given infection before a systematic screening and treatment programme is implemented. Due to uncertainty regarding the prevalence of LTBI and BBVs in homeless populations, doubts remain about the effectiveness and cost-effectiveness of a targeted LTBI and BBV screening strategy in this group. We therefore undertook a cross-sectional survey to estimate the prevalence of LTBI and BBVs among individuals in homeless hostels in London, a group which is broadly representative of the homeless population of the UK. We also examined outcomes of referral to healthcare services after 12 months.

Methods

Study population

We performed a cross-sectional survey testing for LTBI, hepatitis B, hepatitis C and HIV in residents of homeless hostels in London. The study was conducted alongside the Find and Treat (F&T) service run by the National Health Service (NHS). F&T identifies cases of active tuberculosis using digital chest radiography and supports patients to complete treatment.10 Recruitment for the study took place between May 2011 and June 2013, and convenience sampling was used as individuals were screened within the F&T programme. Individuals were eligible to participate in the study if they were over 18 years, resident at a homeless hostel on the day of F&T screening, had a tuberculosis screening chest radiograph by F&T (or elsewhere within the last 6 months that could be proven) and were able to provide written informed consent. Sociodemographic and risk factor data including self-reported age, sex, history of imprisonment, history of drug and alcohol use, history of homelessness and country of birth were collected by dedicated research team using a paper-based questionnaire. The questionnaire was piloted and improved with help from homeless hostel users at the start of the study.

Referral to NHS services

In line with the National Institute for Health and Care Excellence (NICE) guidelines, up to March 2012, individuals diagnosed with LTBI were offered advice about tuberculosis symptoms, and those coinfected with HIV were referred to local health services.11 After March 2012, all individuals diagnosed with LTBI who were under the age of 35 years were to be referred to local health services, reflecting new NICE guidelines for identifying and managing tuberculosis among hard-to-reach groups.12 Individuals with current hepatitis B or hepatitis C infection and previously undiagnosed HIV infection were referred to 14 local health services, and the outcomes were collected 12 months after referral by the research team phoning and speaking to clinicians and nurses to whom the patients were referred. The study received approval from the East of England—Essex National Research Ethics Service Committee (no 10/H0302/5).

Laboratory testing

Whole venous blood samples were collected to test for LTBI and BBVs. LTBI was measured using the QuantiFERON-TB Gold gamma interferon release assay (Cellestis, Australia) following the manufacturer’s instructions for interpretation (table 1).
Table 1

Definitions of classifications used for LTBI, hepatitis B, hepatitis C and HIV

Infection (number screened)Classification statusDefinitionNumber classified (%*)
Latent tuberculosis (n=489)PositiveTB-specific antigen response >0.35 IU/mL and no evidence of active disease on clinical assessment81 (16.5)
NegativeTB-specific antigen response <0.35 IU/mL408 (83.1)
Hepatitis B (n=489)CurrentHBsAg positive, anti-HBc negative, anti-HBs negative7 (1.4)
PastHBsAg negative, anti-HBc positive, anti-HBs positive (confirmed; n=43) Or HBsAg negative, anti-HBc positive, anti-HBs negative (probable past; n=8)51 (10.4)
Immune probably through vaccination§HBsAg negative, anti-HBc negative, anti-HBs positive140 (28.7)
Non-immuneHBsAg, anti-HBc, anti-HBs negative291 (59.5)
Hepatitis C (n=491)CurrentAnti-HCV positive and HCV RNA positive51 (10.4)
PastAnti-HCV positive, HCV RNA negative and RIBA positive13 (2.7)
Uncertain historyAnti-HCV positive or equivocal, HCV RNA negative and no RIBA or insufficient sample for testing3 (0.6)
NegativeAnti-HCV and HCV RNA negative424 (86.4)
HIV (n=491)SeropositiveAnti-HIV/p24 antigen positive5 (1.0)
SeronegativeAnti-HIV/p24 antigen positive486 (99.0)

*Denominator for each percentage is number screened, in first column.

†Two missing LTBI results as indeterminate and two missing hepatitis B test results due to insufficient sample for testing.

‡Further details available from Cellestis, Australia, including interpretation of controls.34

§Median anti-HBs level was 195 IU/L (IQR 46–945).

¶Three subjects had equivocal anti-HBc and negative anti-HBe.

HBc, hepatitis B core; HBe, hepatitis B envelope; HBs, hepatitis B surface; HBsAg, hepatitis B surface antigen; HCV, hepatitis C virus; LTBI, latent tuberculosis infection; RIBA, Recombinant ImmunoBlot Assay.

Definitions of classifications used for LTBI, hepatitis B, hepatitis C and HIV *Denominator for each percentage is number screened, in first column. †Two missing LTBI results as indeterminate and two missing hepatitis B test results due to insufficient sample for testing. ‡Further details available from Cellestis, Australia, including interpretation of controls.34 §Median anti-HBs level was 195 IU/L (IQR 46–945). ¶Three subjects had equivocal anti-HBc and negative anti-HBe. HBc, hepatitis B core; HBe, hepatitis B envelope; HBs, hepatitis B surface; HBsAg, hepatitis B surface antigen; HCV, hepatitis C virus; LTBI, latent tuberculosis infection; RIBA, Recombinant ImmunoBlot Assay. Hepatitis B surface antigen (HBsAg), core total antibody (anti-HBc) and surface antibody (anti-HBs) were detected by the Architect immunoassay (Abbott Diagnostics, Germany). Hepatitis B infection was classed as current in subjects who tested positive for HBsAg at screening with confirmation by HBsAg neutralisation. Hepatitis B was classified as confirmed past in those who were HBsAg negative, anti-HBc positive and anti-HBs positive and probable past in those who were HBsAg negative, anti-HBc positive and anti-HBs negative. For all analyses, we combine these two groups of confirmed and probable past into one group of past hepatitis B infection, and we refer to them as such throughout the rest of the paper. Non-immune hepatitis B status was defined by absence of all hepatitis B markers. Anti-hepatitis C virus (HCV) was detected by the Vitros chemiluminescence assay (Ortho Clinical Diagnostics). Hepatitis C RNA was measured by either a real-time PCR assay based on the method described by Komurian-Pradel et al13 or the Abbott M2000 Real-Time hepatitis C assay.14–18 Samples reactive for anti-HCV but with undetectable hepatitis C RNA underwent anti-HCV confirmation by the Recombinant ImmunoBlot Assay (RIBA, Chiron) or the Line Immunoassay (Inno-Lia; Innogenetics). Hepatitis C infection was classed as current in anti-HCV positive subjects who tested hepatitis C RNA positive and past in those who showed undetectable hepatitis C RNA with confirmed anti-HCV positivity (table 1). HIV screening was performed by the Architect combined HIV antibody/p24 antigen chemiluminescence assay (Abbott Diagnostics).

Analysis

The primary outcome for the study was the proportion of subjects with a positive QuantiFERON-TB Gold assay result. Based on studies in marginalised populations in the USA,2 3 19 we expected a minimum of 10% of participants to test positive for LTBI. To measure this within 95% CIs between 8% and 13%, we required 500 participants. Secondary outcomes were hepatitis B, hepatitis C and HIV status and outcomes in those referred to healthcare services for all infections. Data from the paper questionnaires were entered onto a Microsoft Access database created for the study. Categorisation of categorical variables, methods of assessment and treatment of missing data are presented in an online supplementary appendix. A descriptive analysis of baseline variables and their association with primary and secondary outcomes was performed. We considered age, a priori, as a confounding variable for LTBI. History of imprisonment, history of drug and alcohol use, history of homelessness and country of birth were considered as exposure variables, and a logistic regression model was used to examine the evidence for these as risk factors for LTBI. Data were analysed in STATA V.14.

Results

After accessing the F&T mobile screening service, 804 individuals were approached by research staff and invited to participate in the study. A total of 542/804 (67.4%) individuals consented to take part (figure 1). A total of 51 (9.4%) individuals were subsequently excluded, mainly due to a lack of venous access for blood sampling (n=31). A total of 491 individuals were therefore included in the analysis. A majority of participants (437/491, 89.0%) were men aged between 30 and 49 years (257/491, 52.3%), born in the UK (305/491, 62.1%) and current tobacco smokers (394/491, 80.2%). Most (443/491, 90.2%) reported to have been homeless for one or more years. Just over half (263/481, 54.7%) had spent time in prison. Drug use was common with 107/491 (21.8%) ever having smoked heroin or crack cocaine and 86/491 (17.5%) ever having injected either crack cocaine or heroin. A large number of individuals (202/477, 42.3%) had ever been concerned about their drinking or had had a health worker express concern about their alcohol consumption. Results of testing are shown in tables 1 and 2 and in figures 2 and 3.
Figure 1

Recruitment flow chart. *It was operationally extremely intensive to collect data on the number of individuals who were eligible, approached and refused screening; therefore, these data were only collected at the start of the study. These numbers are therefore estimated on the basis of data collected at the start of study (numbers in parenthesis). BBV, bloodborne virus; LTBI, latent tuberculosis infection.

Recruitment flow chart. *It was operationally extremely intensive to collect data on the number of individuals who were eligible, approached and refused screening; therefore, these data were only collected at the start of the study. These numbers are therefore estimated on the basis of data collected at the start of study (numbers in parenthesis). BBV, bloodborne virus; LTBI, latent tuberculosis infection. Prevalence of LTBI, hepatitis B and hepatitis C, compared with nationally representative samples. General population comparators taken from published sources: LTBI20; hepatitis B35 and hepatitis C.21 Hepatitis B and C results from current study were sum of current and past hepatitis B or C. Hep, hepatitis; IDU, injecting drug use; IGRA, interferon-gamma release assay; LTBI, latent tuberculosis infection. Immunity to Hep B across study and by history of IDU. *Immune due to hepatitis B vaccination. Hephepatitis; IDU, injecting drug use. Baseline demographic and clinical characteristics for participants stratified by test results for latent tuberculosis infection and hepatitis B and C *Sum of current and past hepatitis B. †Sum of current and past hepatitis C. Note: HIV data not included to reduce risk of deductive disclosure. Hephepatitis.

Latent tuberculosis infection

The overall prevalence of LTBI was estimated at 81/491 (16.5%; 95% CI 13.2 to 19.8). Prevalence was higher in those born outside of the UK (52/186, 28.0%; 95% CI 21.4 to 34.4) relative to those born in the UK (29/305, 9.5%; 95% CI 6.2 to 12.8), but both were substantially higher than the 1.6% (95% CI 0.2 to 5.7) prevalence found in patients with inflammatory bowel disease screened for LTBI before initiation of anti-tumour necrosis factor alpha therapy in the UK (figure 2).20 A multivariable analysis was conducted to identify risk factors for LTBI in those individuals born in the UK. There was evidence that a history of imprisonment was associated with an increased risk of LTBI (OR 3.49; 95% CI 1.10 to 11.04; P=0.018) after adjusting for age, length of time spent homeless and any illicit drug use (table 3).
Figure 2

Prevalence of LTBI, hepatitis B and hepatitis C, compared with nationally representative samples. General population comparators taken from published sources: LTBI20; hepatitis B35 and hepatitis C.21 Hepatitis B and C results from current study were sum of current and past hepatitis B or C. Hep, hepatitis; IDU, injecting drug use; IGRA, interferon-gamma release assay; LTBI, latent tuberculosis infection.

Table 3

Logistic regression results of risk factors for latent tuberculosis infection in UK-born homeless

Risk factorUnivariable OR (95% CIs)Multivariable OR (95% CIs)P value*
Age
 <301.01.0
 30–491.36 (0.61 to 3.07)0.69 (0.14 to 3.51)
 50+1.98 (0.86 to 4.53)2.04 (0.41 to 10.05)0.07
Total time spent homeless
 <1 year1.01.0
 1 year0.77 (0.31 to 1.91)0.32 (0.06 to 1.79)
 2–3 years1.24 (0.52 to 2.94)0.79 (0.18 to 3.44)
 >3 years0.96 (0.41 to 2.29)0.82 (0.20 to 3.32)0.43
Has ever been to prison
 No1.01.0
 Yes1.08 (0.67 to 1.75)3.49 (1.10 to 11.04)0.018
Illicit drug usage
 Neither1.01.0
 Has ever smoked heroin/crack1.33 (0.74 to 2.37)1.44 (0.49 to 4.22)
 Has ever injected drugs1.42 (0.77 to 2.64)2.65 (0.92 to 7.62)0.20

*Likelihood ratio test; two indeterminate interferon gamma release assay results grouped with negative results.

Logistic regression results of risk factors for latent tuberculosis infection in UK-born homeless *Likelihood ratio test; two indeterminate interferon gamma release assay results grouped with negative results.

Bloodborne viruses

Current hepatitis B as confirmed by HBsAg neutralisation was 7/489 (1.4%; 95% CI 0.4 to 2.5). A large proportion of participants (51/489, 10.4%; 95% CI 7.7 to 13.1) had evidence of past hepatitis B infection. The number of individuals who were non-immune to hepatitis B was 291/489 (59.5%; 95% CI 55.1 to 63.9) and was lower for those who had ever injected drugs (23/85, 27.1%; 95% CI 17.4 to 36.7; figure 3). The majority of individuals who tested non-immune to hepatitis B (226/291, 77.7%) did not recall whether they had been previously vaccinated, and 29/291 (10.0%) reported never having received vaccination. Overall, 120 (41.2%; 120/291) had spent time in a UK prison. Only four non-immune individuals reported being vaccinated against hepatitis B more than once.
Figure 3

Immunity to Hep B across study and by history of IDU. *Immune due to hepatitis B vaccination. Hep, hepatitis; IDU, injecting drug use.

Among a total of 64/491 (13.0%; 95% CI 10.0 to 16.0) subjects with anti-HCV seropositivity, 51 (10.4%; 95% CI 7.8 to 13.1) tested positive for hepatitis C RNA indicating current infection. The remaining 13 subjects (2.7%; 95% CI 1.2 to 4.1) showed confirmed anti-HCV reactivity in the absence of hepatitis C RNA, indicating a resolved infection. The number of individuals with past or current hepatitis C was higher in those who had ever injected drugs (46/86, 53.4%; 95% CI 42.4 to 64.3). However, those with no injecting drug history (12/405, 3.0%; 95% CI 1.3 to 4.6) had higher levels than the general population estimates in the UK (0.4%).21 The highest risk of hepatitis C was found in those individuals who had been injecting drugs for more than 10 years (figure 4), but there was already an increase in prevalence when comparing injecting for 2–9 years versus 1 year or less. In those diagnosed with LTBI, the frequency of coinfection with either hepatitis B or hepatitis C (past or current) was 37.0% (95% CI 26.3 to 47.8), and coinfection with both hepatitis B and hepatitis C (past or current) was 16.2% (95% CI 9.7 to 24.7).
Figure 4

Risk of hepatitis B and C with increasing time of injecting drug use.

Risk of hepatitis B and C with increasing time of injecting drug use. Prevalence of HIV seropositivity was 1.02% (95% CI 0.1 to 1.9), all cases were due to HIV-1 and all subjects were previously aware of their diagnosis.

Clinical management and outcome

A total of 81 individuals had a positive LTBI test result, none of whom were coinfected with HIV. Three individuals who were diagnosed with LTBI after March 2012 and the introduction of updated NICE treatment guidelines were referred to local health services for chemoprophylaxis (table 4). One subject declined referral, and at 12 months follow-up, the remaining two had disengaged with services and had not started treatment.
Table 4

Outcomes of referral to clinical services for positive cases of latent tuberculosis, hepatitis B and hepatitis C

Outcome at 12 monthsLTBI positive n (%)HBV positive n (%)HCV positive n (%)
Diagnosed and eligible for referral3 (100.0)7 (100.0)51 (100.0)
Treatment started
 On treatment0 (0)0 (0)1 (2.0)
 Completed treatment0 (0)0 (0)1 (2.0)
 Incomplete treatment0 (0)0 (0)0 (0)
Engaged with services, no treatment
 Seen, discharged, no treatment required0 (0)6 (85.7)0 (0)
 Under review, no treatment at present0 (0)0 (0)19 (29.4)
No engagement with services
 DNA, discharged/LFU2 (66.6)1 (14.3)28 (49.0)
 Declined referral1 (33.3)0 (0)2 (3.9)

DNA, did not attend; HBV, hepatitis B virus; HCV, hepatitis C virus; LFU, lost to follow-up; LTBI, latent tuberculosis infection.

Outcomes of referral to clinical services for positive cases of latent tuberculosis, hepatitis B and hepatitis C DNA, did not attend; HBV, hepatitis B virus; HCV, hepatitis C virus; LFU, lost to follow-up; LTBI, latent tuberculosis infection. Among subjects with a current hepatitis B infection, all seven accepted a referral; 6 of 7 were seen at least once in specialist services, none of whom was deemed to require immediate antiviral therapy over 12 months following diagnosis. Among the subjects with current hepatitis C infection, 49/51 (96.1%) subjects accepted a referral to specialist services. Two patients initiated interferon-based treatment (3.9%; 2/51) with one having completed treatment and one still on treatment at 12 months follow-up. A further 19 (37.3%; 19/51) subjects were seen at least once over 12 months of follow-up and remained under review in the absence of treatment; 28 (54.9%; 28/51) individuals were lost to follow-up after referral.

Discussion

This study demonstrates a burden of latent tuberculosis and BBV infections in a London homeless population at levels that are substantially higher than the general population. Although, we found that the greatest risk of LTBI was in those born outside the UK, around 10% of UK-born homeless adults were infected. UK-born individuals with a history of imprisonment had more than three times the risk of LTBI compared with other UK-born participants. During the study, referral rates for treatment for LTBI were low due to the criteria in operation at the time. Under new 2016 NICE guidelines,22 all those with a positive test aged up to 65 years would be referred for treatment. Therefore, instead of three people (4%; 3/81) being referred, 76 (93.8%; 76/81) would now be eligible for treatment. Significantly higher levels of current and past hepatitis B were seen in this study compared with the general population (1.4% and 10.4%, respectively). A history of hepatitis B vaccination was higher in those reporting a history of injecting drug use, possibly as a result of targeted vaccination in this population, but there remained a substantial proportion of this homeless population who were non-immune and who would benefit from vaccination. The levels of hepatitis B are particularly important to address in this population given the risk of onward transmission due to poor living conditions and low immunisation levels. No patients were initiated on treatment; however, this is not necessarily unexpected given the prolonged clinical assessment (typically 2–3 appointments spaced out by a few months) required before treatment initiation for hepatitis B. At 13%, the prevalence of hepatitis C infection was high. This was substantially increased in participants reporting injecting drug use, but even those without such a history had higher levels than the general population. Engagement with health services was poor in those diagnosed with current hepatitis C infection, with just over half of those referred either not attending appointments or being lost to follow-up. In only a minority of those referred was antiviral therapy initiated within 12 months. Until recently, hepatitis C care in general has been characterised by a small number of treatment initiations relative to the number of people needing and accessing care.21 The introduction of interferon-free regimens of short duration (typically 12 weeks) has the potential to improve engagement with care in this vulnerable population, but the impact remains to be formally investigated. In individuals diagnosed with LTBI, coinfection with either hepatitis B or C (past or current) was high at 37.0%, as was coinfection with both hepatitis B and C at 16.2%. The implications of this for LTBI treatment and risk of hepatotoxicity need to be carefully considered. There were several strengths to our study including the sample size achieved in a population that is typically described as ‘hard-to-reach’. We managed to recruit a large number of participants as a result of long established links with homeless services (through F&T). The questionnaires used for the collection of self-reported risk factor data were developed and piloted with the target population and were improved on the basis of feedback. Due to the nature of the population and the fact that this study was conducted alongside a busy NHS clinical service, we were not able to use a formal sampling framework for the recruitment of patients and so used convenience sampling. The requirement for individuals to be able to consent meant that our results do not include individuals who were intoxicated (by drugs or alcohol) and, therefore, is likely to under-represent those at highest risk of BBV infection. Although it was not possible to collect data on individuals unable to consent or who were approached for screening and refused to take up the offer, the homeless population in this study included a high proportion of previous rough sleepers and people with either current or previous high-risk drug and harmful and hazardous alcohol use. Men are over-represented among homeless hostel residents, and the populations sampled are broadly demographically comparable to homeless populations nationally according to F&T data collected from extensive screening outside London, and Homeless Link’s health needs audit.23 We did not ask for a self-reported history of contact tracing or previous active disease as, based on our experience of the provision of health support to this population, we did not believe that these data would be reliable. The number of cases with previous active disease would be likely to be very small due to the study sample size. We are not aware of other published data estimating the prevalence of LTBI in a large representative homeless population in the UK. Previous studies in other high-income countries (including Italy, Japan, South Korea and USA) have reported LTBI prevalence in homeless populations and found rates varying from 16% to 75.9%.3 16–18 24 Comparability with our findings is complicated by highly heterogeneous populations, differences between studies, including definition of homelessness used, eligibility criteria, uptake and the test used to diagnose latent tuberculosis. A recent systematic review and meta-analysis of active tuberculosis and BBVs in homeless populations internationally found that the prevalence of hepatitis C virus infection ranged from 3.9% to 36.2% and for HIV from 0.3% to 21.1%.15 None of the studies testing for HIV were conducted in the UK, but one hepatitis C study, which recruited homeless individuals from shelters, special projects and medical centres in Oxford, found 26.5% of individuals positive using oral fluid testing.25 Our results highlight the potential value of early intervention for prevention given the increasing risk of BBVs associated with greater length of time injecting drugs. Every opportunity should therefore be taken to maximise vaccination uptake including improving healthcare interventions to those in prison. This finding is consistent with our previous work demonstrating the inverse care law with respect to influenza vaccination.26 Our data demonstrated that homeless people’s eligibility for influenza vaccination due to clinical risk factors was 38.9% compared with 13.0% of the general population, but only 23.7% of those eligible were vaccinated compared with national levels of 53.2%. Given this unmet need, we believe that there is a strong rationale for offering universal provision of hepatitis B vaccination to homeless people through existing services engaged with this group.27 Individuals who tested HBsAg positive generally maintained links with services after referral, whereas those diagnosed with hepatitis C infection showed suboptimal retention in care. Further studies are required to determine whether expanded availability of interferon-free regimens of short duration will increase engagement in this population. Homelessness has increased dramatically in the UK since 2010, and the number of people seen rough sleeping has doubled nationally.28 29 These populations represent the extreme end of health inequalities in high-income countries and experience a high burden of preventable morbidity and mortality from infectious and non-infectious diseases.30 31 Our study demonstrates for the first time the high prevalence of undiagnosed LTBI and hepatitis B and C, in homeless populations in the UK and a large unmet need for hepatitis B vaccination. Our findings also clearly illustrate the requirement for intensive case management and ongoing support to ensure that testing can translate into treatment opportunities. The very high rates of coinfection demonstrated highlight the importance of service integration through combined testing and treatment pathways.32 NICE now recommends that persons accessing targeted mobile radiology should be offered tests for BBV,22 and our data provide the basis to estimate the cost-effectiveness of this approach. The recent national collaborative TB strategy33 commits to new investment in a national outreach service in line with the proven F&T outreach model.10 Our findings reinforce the need for an integrated screening and treatment support model, while highlighting the ongoing complexity found in this population plus the support they will require through such services.
Table 2

Baseline demographic and clinical characteristics for participants stratified by test results for latent tuberculosis infection and hepatitis B and C

AllQuantiFERON-TB Gold positiveHep B positive*Hep C positive
nn%n%n%
All4918116.55811.96413.0
Age (years)
 18–2969811.668.734.3
 30–492573915.22810.94316.7
 50+1653420.62414.51810.9
Sex
 Female5447.459.335.6
 Male4377717.65312.16114.0
Born in the UK
 Yes305299.5299.55016.4
 No1865228.02915.6147.5
Total time spent homeless
 <1 year48816.7612.548.3
 1 year1351813.31611.9139.6
 2–3 years1412819.91913.5117.8
 >3 years1672716.21710.23621.6
Has ever spent time in prison
 No2183516.12712.4125.5
 Yes2634517.13011.45019.0
 Missing10112
Illicit drug usage
 Neither2984414.8279.1134.4
 Has ever smoked heroin/crack1072018.71413.154.7
 Has ever injected drugs861719.81719.84653.5
Case currently smokes cigarettes
 No971818.61010.322.1
 Yes3946316.04812.26215.7
Participant or health worker ever been concerned about drinking
 No2755118.53010.9248.7
 Yes2022813.92512.43617.8
 Missing14234

*Sum of current and past hepatitis B.

†Sum of current and past hepatitis C.

Note: HIV data not included to reduce risk of deductive disclosure. Hep, hepatitis.

  20 in total

1.  Tuberculosis skin testing among homeless adults.

Authors:  L Gelberg; C J Panarites; H Morgenstern; B Leake; R M Andersen; P Koegel
Journal:  J Gen Intern Med       Date:  1997-01       Impact factor: 5.128

Review 2.  An official ATS statement: hepatotoxicity of antituberculosis therapy.

Authors:  Jussi J Saukkonen; David L Cohn; Robert M Jasmer; Steven Schenker; John A Jereb; Charles M Nolan; Charles A Peloquin; Fred M Gordin; David Nunes; Dorothy B Strader; John Bernardo; Raman Venkataramanan; Timothy R Sterling
Journal:  Am J Respir Crit Care Med       Date:  2006-10-15       Impact factor: 21.405

3.  Yield and cost effectiveness of mycobacterial infection detection using a simple IGRA-based protocol in UK subjects with inflammatory bowel disease suitable for anti-TNFα therapy.

Authors:  Kay Greveson; James Goodhand; Santino Capocci; Sue Woodward; Charles Murray; Ian Cropley; Mark Hamilton; Marc Lipman
Journal:  J Crohns Colitis       Date:  2012-09-24       Impact factor: 9.071

4.  Tuberculosis infection among homeless persons and caregivers in a high-tuberculosis-prevalence area in Japan: a cross-sectional study.

Authors:  Takahiro Tabuchi; Toshio Takatorige; Yukio Hirayama; Nobuaki Nakata; Shigeyoshi Harihara; Akira Shimouchi; Koshiro Fujita; Hiroko Yoshida; Yoshitaka Tamura; Takayuki Nagai; Tomoshige Matsumoto; Tetsuya Takashima; Hiroyasu Iso
Journal:  BMC Infect Dis       Date:  2011-01-21       Impact factor: 3.090

5.  Dedicated outreach service for hard to reach patients with tuberculosis in London: observational study and economic evaluation.

Authors:  Mark Jit; Helen R Stagg; Robert W Aldridge; Peter J White; Ibrahim Abubakar
Journal:  BMJ       Date:  2011-09-14

6.  Tuberculosis in sheltered homeless population of Rome: an integrated model of recruitment for risk management.

Authors:  Patrizia Laurenti; Stefania Bruno; Gianluigi Quaranta; Giuseppe La Torre; Antonio G Cairo; Pierangela Nardella; Giovanni Delogu; Giovanni Fadda; Tommaso Pirronti; Salvatore Geraci; Salvatore Pelargonio; Francesco N Lauria; Delia Goletti; Gualtiero Ricciardi
Journal:  ScientificWorldJournal       Date:  2012-02-01

7.  Latent tuberculosis and active tuberculosis disease rates among the homeless, New York, New York, USA, 1992-2006.

Authors:  John M McAdam; Scott J Bucher; Philip W Brickner; Richard L Vincent; Steven Lascher
Journal:  Emerg Infect Dis       Date:  2009-07       Impact factor: 6.883

Review 8.  Prevalence of tuberculosis, hepatitis C virus, and HIV in homeless people: a systematic review and meta-analysis.

Authors:  Ulla Beijer; Achim Wolf; Seena Fazel
Journal:  Lancet Infect Dis       Date:  2012-08-20       Impact factor: 25.071

9.  Feasibility, acceptability, and cost of tuberculosis testing by whole-blood interferon-gamma assay.

Authors:  Puneet Kumar Dewan; Jennifer Grinsdale; Sally Liska; Ernest Wong; Robert Fallstad; L Masae Kawamura
Journal:  BMC Infect Dis       Date:  2006-03-15       Impact factor: 3.090

10.  Active pulmonary tuberculosis and latent tuberculosis infection among homeless people in Seoul, South Korea: a cross-sectional study.

Authors:  Chang-Hoon Lee; Yun-Jeong Jeong; Eun Young Heo; Jong Sun Park; Ji Sun Lee; Byoung Jun Lee; Young Sik Park; Eun Hee Song; Yun Jung Yang; Young Soo Cho; En-hi Cho; Kyoung-in Na; Eun-Jeong Oh; Jin-beom Lee; Soo-Yeon Oh; HeeJin Kim; Chang Min Park; Jae-Joon Yim
Journal:  BMC Public Health       Date:  2013-08-05       Impact factor: 3.295

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  13 in total

1.  QuantiFERON-TB Gold Versus Tuberculin Screening and Care Retention Among Persons Experiencing Homelessness: Georgia, 2015-2017.

Authors:  Jeffrey M Collins; Udodirim Onwubiko; David P Holland
Journal:  Am J Public Health       Date:  2019-05-16       Impact factor: 9.308

2.  Nurse-led intervention to decrease drug use among LTBI positive homeless adults.

Authors:  Adeline Nyamathi; Donald Morisky; Sarah Akure Wall; Kartik Yadav; Sangshuk Shin; Elizabeth Hall; Alicia H Chang; Kathryn White; Nicholas Arce; Therese Parsa; Benissa E Salem
Journal:  Public Health Nurs       Date:  2022-01-10       Impact factor: 1.770

3.  Effect of a Nurse-Led Community Health Worker Intervention on Latent Tuberculosis Medication Completion Among Homeless Adults.

Authors:  Adeline Nyamathi; Benissa E Salem; Sanghyuk S Shin; Adrianna A Jones; Dana R Garfin; Kartik Yadav; Alicia H Chang; Kathryn White; Donald Morisky
Journal:  Nurs Res       Date:  2021 Nov-Dec 01       Impact factor: 2.381

4.  Seroprevalence of HCV, HBV and HIV in two inner-city London emergency departments.

Authors:  L Cieply; R Simmons; S Ijaz; E Kara; A Rodger; W Rosenberg; A McGuinness; J L Mbisa; J Ledesma; N Ohemeng-Kumi; S Dicks; H Potts; S Lattimore; S Mandal
Journal:  Epidemiol Infect       Date:  2019-01       Impact factor: 2.451

5.  Homelessness, unstable housing, and risk of HIV and hepatitis C virus acquisition among people who inject drugs: a systematic review and meta-analysis.

Authors:  Chiedozie Arum; Hannah Fraser; Andreea Adelina Artenie; Sandra Bivegete; Adam Trickey; Michel Alary; Jacquie Astemborski; Jennifer Iversen; Aaron G Lim; Louis MacGregor; Meghan Morris; Jason J Ong; Lucy Platt; Rachel Sack-Davis; Daniela K van Santen; Sunil S Solomon; Vana Sypsa; Jorge Valencia; Wijnand Van Den Boom; Josephine G Walker; Zoe Ward; Jack Stone; Peter Vickerman
Journal:  Lancet Public Health       Date:  2021-03-26

6.  Why were COVID-19 infections lower than expected amongst people who are homeless in London, UK in 2020? Exploring community perspectives and the multiple pathways of health inequalities in pandemics.

Authors:  Andy Guise; Stan Burridge; P J Annand; Martin Burrows; Lucy Platt; Sujit D Rathod; Paniz Hosseini; Michelle Cornes
Journal:  SSM Qual Res Health       Date:  2022-01-03

Review 7.  Barriers and facilitators to hepatitis C screening and treatment for people with lived experience of homelessness: A mixed-methods systematic review.

Authors:  Martha Paisi; Neeltje Crombag; Lorna Burns; Annick Bogaerts; Lyndsey Withers; Laura Bates; Daniel Crowley; Robert Witton; Jill Shawe
Journal:  Health Expect       Date:  2021-12-03       Impact factor: 3.377

8.  Tuberculosis Surveillance in Romania Among Vulnerable Risk Groups Between 2015 and 2017.

Authors:  Ioana Munteanu; Nicoleta Cioran; Rob van Hest; Ibrahim Abubakar; Alistair Story; Domnica Chiotan; Gerard de Vries; Beatrice Mahler
Journal:  Ther Clin Risk Manag       Date:  2022-04-20       Impact factor: 2.755

9.  Point-of-Care Screening for a Current Hepatitis C Virus Infection: Influence on Uptake of a Concomitant Offer of HIV Screening.

Authors:  Anna Maria Geretti; Harrison Austin; Giovanni Villa; Dan Hungerford; Colette Smith; Paula Davies; Jillian Williams; Apostolos Beloukas; Wojciech Sawicki; Mark Hopkins
Journal:  Sci Rep       Date:  2018-10-17       Impact factor: 4.379

10.  From peer-based to peer-led: redefining the role of peers across the hepatitis C care pathway: HepCare Europe.

Authors:  Julian Surey; Dee Menezes; Marie Francis; John Gibbons; Binta Sultan; Ala Miah; Ibrahim Abubakar; Alistair Story
Journal:  J Antimicrob Chemother       Date:  2019-11-01       Impact factor: 5.790

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