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High background rates of positive tuberculosis-specific interferon-γ release assays in a low prevalence region of UK: a surveillance study.
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PMID:  23216965     Owner:  NLM     Status:  MEDLINE    
BACKGROUND: Background rates of latent tuberculosis infection in low prevalence regions of Britain are unknown. These would be valuable data for interpreting positive IGRA results, and guiding cost-benefit analyses. The management of a large outbreak of tuberculosis occurring in a rural district hospital provided an opportunity to determine the background rates and epidemiology of IGRA-positivity amongst unselected hospital patients in a low-prevalence region of U.K.
METHODS: As part of a public health surveillance project we identified 445 individuals exposed to the index cases for clinical assessment and testing by a TB-specific interferon-γ release assay (IGRA): T-Spot.TB. Uniquely, an additional comparator group of 191 age-matched individuals without specific recent exposure, but with a similar age distribution and demographic, were recruited from the same wards where exposure had previously occurred, to undergo assessment by questionnaire and IGRA.
RESULTS: Rates of IGRA positivity were 8.7% (95%CI, 4.2-13, n=149) amongst unexposed patients, 9.5%(3.0-22, n=21) amongst unexposed staff, 22%(14-29, n=130) amongst exposed patients, 11%(6.1-16, n=142) amongst exposed staff. Amongst the individuals without history of recent exposure to the outbreak, IGRA-positivity was associated with prior TB treatment (OR11, P.04) and corticosteroid use (OR5.9, P.02). Background age-specific prevalences of IGRA-positivity amongst unexposed individuals were: age <40 0%(N/A), age 40-59 15%(12-29), age 60-79 7.0%(1.1-13), age≥80 10%(5.9-19).
CONCLUSIONS: Background rates of IGRA-positivity remain high amongst unselected white-Caucasian hospital inpatients in U.K. These data will aid interpretation of future outbreak studies. As rates peak in the 5th and 6th decade, given an ageing population and increasing iatrogenic immunosuppression, reactivation of LTBI may be a persistent hazard in this population for several decades to come.
Timothy S C Hinks; Nimu Varsani; David T Godsiff; Thomas C Bull; Katherine L Nash; Lisa McLuckie; Catherine Maule; Tessa Flower; Anthony Warley
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2012-12-06
Journal Detail:
Title:  BMC infectious diseases     Volume:  12     ISSN:  1471-2334     ISO Abbreviation:  BMC Infect. Dis.     Publication Date:  2012  
Date Detail:
Created Date:  2013-01-04     Completed Date:  2013-05-23     Revised Date:  2013-07-11    
Medline Journal Info:
Nlm Unique ID:  100968551     Medline TA:  BMC Infect Dis     Country:  England    
Other Details:
Languages:  eng     Pagination:  339     Citation Subset:  IM    
Academic Unit of Clinical and Experimental Sciences, Mailpoint 0810, University of Southampton Faculty of Medicine, Southampton General Hospital, Southampton, SO16 6YD, UK.
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MeSH Terms
Aged, 80 and over
Great Britain / epidemiology
Interferon-gamma Release Tests*
Latent Tuberculosis / diagnosis*
Middle Aged
Young Adult

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Journal ID (nlm-ta): BMC Infect Dis
Journal ID (iso-abbrev): BMC Infect. Dis
ISSN: 1471-2334
Publisher: BioMed Central
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Copyright ©2012 Hinks et al.; licensee BioMed Central Ltd.
Received Day: 16 Month: 2 Year: 2012
Accepted Day: 3 Month: 12 Year: 2012
collection publication date: Year: 2012
Electronic publication date: Day: 6 Month: 12 Year: 2012
Volume: 12First Page: 339 Last Page: 339
PubMed Id: 23216965
ID: 3537536
Publisher Id: 1471-2334-12-339
DOI: 10.1186/1471-2334-12-339

High background rates of positive tuberculosis-specific interferon-γ release assays in a low prevalence region of UK: a surveillance study
Timothy SC Hinks1 Email:
Nimu Varsani23 Email:
David T Godsiff1 Email:
Thomas C Bull1 Email:
Katherine L Nash2 Email:
Lisa McLuckie2 Email:
Catherine Maule2 Email:
Tessa Flower2 Email:
Anthony Warley2 Email:
1Academic Unit of Clinical and Experimental Sciences, Mailpoint 0810, University of Southampton Faculty of Medicine, Southampton General Hospital, Southampton, SO16 6YD, UK
2Salisbury NHS Foundation Trust, Salisbury District Hospital, Salisbury, Wiltshire, SP2 8BJ, UK
3St George’s, University of London, Cranmer Terrace, London, SW17 0RE, UK


Background rates of latent tuberculosis infection (LTBI) in low prevalence regions of Britain are unknown. Current estimates depend on extrapolations from the incidence of active cases of TB [1], or on tuberculin skin testing [2], which is confounded by vaccination. TB-specific interferon-γ release assays (IGRAs) are sensitive and specific methods for detecting immune sensitisation by TB [3], and have accurately characterised the epidemiology of LTBI amongst high risk populations such as recent immigrants or TB contacts. The few studies which have reported on IGRA-positivity in healthcare workers place rates in the range of 6.7-9.9% in low prevalence countries [4]. However there is a paucity of data on the background rates of IGRA-positivity in low risk populations, such as hospital in patients without recent TB exposure [1]. Such data would be valuable for interpreting the likely clinical significance of a positive IGRA result in low risk populations, and further informing cost-benefit analyses of new diagnostics [1].

We undertook to manage an outbreak in a low prevalence region by contact tracing with standard IGRA testing according to the “stone in the pond” principle [1], and also to determine the background rates and epidemiology of IGRA-positivity amongst unselected, unexposed hospital patients in a low-prevalence region of U.K.


In June 2009 a patient was diagnosed with smear-positive pulmonary tuberculosis over three weeks after admission to Salisbury District Hospital, a rural district general hospital in South West England. Over the subsequent 15 months a further 8 secondary cases of active TB were diagnosed amongst staff and patients. 6/6 culture-confirmed cases had identical VNTR (variable number tandem repeat) profile, so were directly attributable to the index case, given the very low incidence of active TB locally at 6.1/100,000/year [5]. Contact tracing identified 445 potential contacts of the index case, comprising 142 staff and 303 patients. These two groups of “exposed staff” and “exposed patients” were defined by having received treatment or worked regularly on the same wards at the same time that the index case was present, and were therefore considered to have had known, recent exposure to MTB. “Exposed staff” had a median age of 34 (range 18 to 69) and 84% were BCG vaccinated. “Exposed patients” were older with a median age of 73 (range 27 to 95) and only 41% were known to be BCG vaccinated. See Table 1 and Figure 1.

Uniquely, to inform interpretation of positive results obtained amongst the exposed contacts, two additional comparator groups of “unexposed” individuals were recruited. These comprised a further 191 individuals with a similar age distribution recruited from staff (“unexposed staff”, n=22) and adult patients (“unexposed patients”, n=169), see Figure 1. These individuals were recruited from the same respiratory and general medical wards where exposure had previously occurred, but who had not been exposed to any of the 9 cases at the time of their admissions. Subjects with any suspected TB exposure within the last 2 years were excluded. Demographics of the unexposed individuals are shown in Table 2. “Unexposed staff” had a median age of 44 (range 23 to 95) and 82% were BCG vaccinated. “Unexposed patients” were older with a median age of 71 (range 25 to 93) and only 48% were known to be BCG vaccinated. This sample size was predicted to give a confidence interval width for overall LTBI prevalence of <4.5%.

Participants were invited for screening by history and IGRA. Samples were couriered to Oxford Immunotec for testing by T-Spot.®TB. (Oxford Immunotec, Oxford, U.K.) A positive result comprised ≥8 spot-forming colonies (SFC) more than the control well. A result of 5, 6 or 7 SFC was considered borderline and the subject retested where possible, or removed from subsequent analysis. 95% confidence intervals and multivariate binary logistic regression (at P<0.05), were calculated using SPSS version 19.0 (IBM Corp., Armonk, NY).

Subjects provided written consent. As a primarily public health surveillance exercise the National Research Ethics Service advised this study did not require review by a NHS Research Ethics Committee.


Full clinical data were available and IGRA performed on 465 staff and patients. Study design and assay results are shown Figure 1. Demographic data for the complete investigation are presented in Table 1. All 142 exposed staff completed screening. Amongst the group of exposed patients, testing was not performed in 168 exposed patients because they had died (n=66), or (n=102) testing was declined due to patient preference or considered inappropriate, for example due to instigation of end of life care. Three unexposed patients withdrew consent. Overall 11 assays were indeterminate because of insufficient cells (n=9) – predominantly due to under-filled tubes – or high background (n=2).

The rates of IGRA positivity were: unexposed patients 8.7%(95%CI, 4.2-13, n=13/149), unexposed staff 9.5%(95%CI, 3.0-22, 2/21), exposed patients 22%(95%CI, 14–29, 28/130), exposed staff 11%(95%CI, 6.1-16, 16/142).

From these data we estimate an additional 35/379 living staff (n=142) and patients (n=237) known to be exposed during this outbreak, would test positive by IGRA, if full data were available. These excess positive IGRAs probably reflect recently-acquired LTBI.

Amongst unexposed patients positive IGRA results were positively associated in multivariate analyses with history of previous TB treatment (OR 11, P=.04) and with use of corticosteroids (OR 5.9, P=.02). 6/13 IGRA-positive unexposed patients had a history of TB treatment (n=2), definite (n=2) or probable (n=2) TB exposure. Age-specific prevalences of IGRA-positivity amongst all unexposed patients were: age <40 0%(95%CI N/A), age 40–59 15%(95%CI 12–29), age 60–79 7.0%(95%CI 1.1-13), age≥80 10%(95%CI 5.9-19) (Figure 2a,b).


We observed a background rate (8.7%) of IGRA-positivity amongst an unselected population typical of respiratory and general medical inpatients in a rural district hospital in U.K. All these “unexposed” patients, without known recent TB exposure, were white-Caucasians, a population in whom data on LTBI prevalence are lacking [2], but who comprise 92% of the U.K. population [6]. As the South West region has the lowest incidence of active tuberculosis in mainland Britain [5], and as our findings accord with a 9.0% rate in a similar study using QuantiFERON®-TB in Northern Ireland [7], this may represent a current minimum U.K. background rate of IGRA-positivity.

Rates of IGRA-positivity amongst unexposed control patients were higher in subjects receiving long term iatrogenic immunosuppression (OR 5.9). This would be consistent with the known increased risk of acquiring MTB-complex infection due to impairment of cell-mediated immunity induced by therapy with corticosteroids or with anti-TNFα therapy [8].

The 9.5% rate of IGRA-positivity amongst the unexposed staff is consistent with a rate of 9.9% observed by Schablon et al. in their large study of healthcare workers in Germany [4]. These authors observed associations between IGRA positivity and older age, foreign birth and prior personal history of TB. In our study the IGRA positive, unexposed staff were neither foreign born nor had a personal history of TB, but were both in their 6th decade. It seems likely that relatively high rates of IGRA-positivity in healthcare workers may be due to unrecognised occupational exposure to MTB, particularly in older workers whose exposure may predate current infection control procedures.

Interestingly the age-specific prevalence amongst unexposed controls shows a similar bimodal distribution to that observed in the early 1990s in Liverpool [2] using the Heaf method. The lower absolute values reflect the greater specificity of T-Spot.TB and the declining rates of TB amongst U.K. born individuals [9-11]. It is estimated that the annual risk of infection in U.K. declined from 12% in 1901 to 1.9% in 1949 [10] and has since fallen further [11]. Nonetheless our data suggest there is still a peak in the 5th and 6th decades, as observed two decades ago [2].

Do these positive IGRAs represent true LTBI? A positive T-Spot.TB assay is evidence of previous immune sensitisation by specific antigens from M.tb complex [3,12]. 6/13 IGRA-positive individuals without recent exposure had a known history of prior TB infection or exposure. That T-Spot responses wane over time [13], or may be transiently positive [3], suggests some individuals might spontaneously clear M.tb infection. Alternatively, as early secretory antigenic target 6 and culture filtrate protein 10 are expressed by other opportunistic mycobacteria [14], and indeed QuantiFERON responses have been observed with M.marinum, M.kansasii, and M.szulgai[12] some positive IGRA results might be attributable to other opportunistic mycobacteria, or even to unpasteurised dairy products [7], or the M.bovis epidemic affecting more than 5% of cattle herds locally [15], although we found no association with farming occupation (Data not shown).

This study has several potential limitations: sample sizes are relatively small, particularly amongst younger age-groups; data may not be directly generalizable to other regions or non-hospital communities; due to the time-course of the outbreak, sample sizes and use of chemoprophylaxis, the study was not designed to provide data on rates of progression amongst IGRA positive individuals.


8.7% of unselected white-Caucasian medical inpatients in a low-prevalence region test positive by T-Spot. As this region has the lowest UK incidence of active TB, this figure may represent a current minimum UK background prevalence of LTBI. These data will aid interpretation of future outbreak studies. They will also inform cost-benefit analyses which may be sensitive to assumed background rates of LTBI. As rates peak in the 5th and 6th decade, given an ageing population and increasing iatrogenic immunosuppression, reactivation of LTBI may be a persistent hazard in this population for several decades to come.


TB: Tuberculosis; LTBI: Latent tuberculosis infection; IGRA: Interferon-γ release assay; VNTR: Variable number tandem repeat; SFC: Spot-forming colonies.

Competing interests

The authors declare they have no competing interests.

Authors’ contributions

TH helped design the study, analysed the data and drafted the manuscript. NV DG TB KN LM CM TF collected data. AW conceived the study and participated in its design and coordination. All authors read and approved the final manuscript.

Pre-publication history

The pre-publication history for this paper can be accessed here:


TH is a Wellcome Trust Fellow. This work was funded by the Salisbury Hospital League of Friends and Oxford Immunotec. We are grateful to Catherine Thompson, Ben Marshall, Ratko Djukanović, and the patients and staff involved.

National Institute for Clinical ExcellenceClinical diagnosis and management of tuberculosis, and measures for its prevention and controlYear: 2011London: Royal College of Physicians of London1325
Syed Q,Bellis MA,Beeching NJ,Tocque K,Williams CS,Jamieson S,Steele A,Davies PD,Tuberculin testing in two Liverpool social clubs: the effects of a tuberculosis outbreak on background positivityThoraxYear: 199651662462710.1136/thx.51.6.6248693446
Lalvani A,Diagnosing tuberculosis infection in the 21st century: new tools to tackle an old enemyChestYear: 200713161898190610.1378/chest.06-247117565023
Schablon A,Harling M,Diel R,Nienhaus A,Risk of latent TB infection in individuals employed in the healthcare sector in Germany: a multicentre prevalence studyBMC Infect DisYear: 20101010710.1186/1471-2334-10-10720429957
Tuberculosis in the UKAnnual report on tuberculosis surveillance in the UKYear: 2010London: Health Protection Agency Centre for Infections172
Experimental population estimates by ethnic group for local authority districts and higher administrative areas in England and Wales for 2009Year: 2009 [].
Bradshaw L,Davies E,Devine M,Flanagan P,Kelly P,O'Connor K,Drobniewski F,Nikolayevskyy V,Abubakar I,The role of the interferon gamma release assay in assessing recent tuberculosis transmission in a hospital incidentPLoS OneYear: 201166e2077010.1371/journal.pone.002077021695149
Bellofiore B,Matarese A,Balato N,Gaudiello F,Scarpa R,Atteno M,Bocchino M,Sanduzzi A,Prevention of tuberculosis in patients taking tumor necrosis factor-alpha blockersJ Rheumatol SupplYear: 200983767710.3899/jrheum.09023319661550
Davies RP,Tocque K,Bellis MA,Rimmington T,Davies PD,Historical declines in tuberculosis in England and Wales: improving social conditions or natural selection?Int J Tuberc Lung DisYear: 19993121051105410599006
Vynnycky E,Fine PE,The annual risk of infection with Mycobacterium tuberculosis in England and Wales since 1901Int J Tuberc Lung DisYear: 1997153893969441091
Rose AM,Watson JM,Graham C,Nunn AJ,Drobniewski F,Ormerod LP,Darbyshire JH,Leese J,Tuberculosis at the end of the 20th century in England and Wales: results of a national survey in 1998ThoraxYear: 200156317317910.1136/thorax.56.3.17311182007
Kobashi Y,Mouri K,Yagi S,Obase Y,Miyashita N,Okimoto N,Matsushima T,Kageoka T,Oka M,Clinical evaluation of the QuantiFERON-TB Gold test in patients with non-tuberculous mycobacterial diseaseInt J Tuberc Lung DisYear: 200913111422142619861017
Hinks TS,Dosanjh DP,Innes JA,Pasvol G,Hackforth S,Varia H,Millington KA,Liu XQ,Bakir M,Soysal A,et al. Frequencies of region of difference 1 antigen-specific but not purified protein derivative-specific gamma interferon-secreting T cells correlate with the presence of tuberculosis disease but do not distinguish recent from remote latent infectionsInfect ImmunYear: 200977125486549510.1128/IAI.01436-0819752037
Harboe M,Oettinger T,Wiker HG,Rosenkrands I,Andersen P,Evidence for occurrence of the ESAT-6 protein in Mycobacterium tuberculosis and virulent Mycobacterium bovis and for its absence in Mycobacterium bovis BCGInfect ImmunYear: 199664116228557334
Department for Environment, Food and Rural AffairsHM Government Preparing for a new GB strategy on bovine tuberculosisYear: 2004London: DEFRA182


[Figure ID: F1]
Figure 1 

Study flow chart showing all participant cohorts. * comprises 3 borderline positive, 1 borderline negative; † comprises 1 borderline negative; ‡ comprises 5 borderline positive, 2 borderline negative.

[Figure ID: F2]
Figure 2 

Age specific prevalences of IGRA-positivity amongst exposed patients and amongst unexposed patients. Error bars show standard errors of the mean. a) data stratified according to four age-groups. b) data stratified by seven age groups, as per Syed et al.[2].

[TableWrap ID: T1] Table 1 

Demographics and T-Spot results of all participants

  n % (95% CI) n % (95% CI) n % (95% CI) n % (95% CI)
Age (years), median (range)
(18 to 69)
(27 to 95)
(23 to 60)
(25 to 93)
Male, n (%)†
Ethnicity, n (%)
  White Caucasian
BCG (history or scar), n (%)
TSpot result including initial borderline results, n, (%) (95%CI)
(5.0 to 15)
(14 to 27)
(0 to 21)
(4.0 to 13)
  Borderline positive

(0 to 3.3)
(0 to 4.7)
(0.44 to 6.0)
  Borderline negative

(0.92 to 7.5)
(0 to 2.2)
(0 to 13)
(0 to 3.0)
(79 to 90)
(68 to 82)
(72 to 100)
(82 to 92)
TSpot result excluding those borderline results which were not retested, n, (%) (95%CI)
(6.1 to 16)
(14 to 29)
(0 to 22)
(4.2 to 13)
  Negative 126 (89) (84 to 94) 102 (78) (71 to 85) 19 (90) (78 to 100) 136 (91) (87 to 96)

† Percentages are those of those with valid data (e.g. occupation).

‡ India (1), Philippines (1).

§ Borderline results were retested and definitive results reached in every case. 2 (of which one was borderline negative) became positive (conversions), 6 (of which one was borderline negative) became negative (reversions).

[TableWrap ID: T2] Table 2 

Demographics of the unexposed individuals

Unexposed, age-matched individuals
TSpot positive n=13
TSpot negative n=136
Odds ratio
Univariate P
    n % n %    
Age (years), median (range)
Male, n (%)
Ethnicity, n (%)
  White Caucasian
Country of birth
  UK born
  Years since immigration, median (range)
Ever visited a high prevalence country, n (%)
  Years since last visit, median (range)
Ever resident in a high prevalence area >6/52, n (%)
Occupation: healthcare, prison, lab n (%)‡
BCG (history or scar), n (%)
Medical history, n (%)
  Comorbidity known to be associated with TB§
  Immunosuppresive medications∥
  Ever known to be exposed to TB
  Ever had treatment for tuberculosis 2 (15) 2 (1.5) 12 0.003

† Germany (2), South Africa (1), Hong Kong (1).

‡ Percentages are those of those with valid data.

§ Diabetes mellitus (17), chronic renal failure (3), haematological malignancy (2), gastric surgery (1).

∥ Systemic steroids (12), methotrexate (4), hydroxychloroquine (2), anti-TNF alpha (2), sulfasalzine (1).

Article Categories:
  • Research Article

Keywords: Tuberculosis, Diagnosis, Mycobacterium, T-Spot.TB, Enzyme-linked immunospot.

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