| Literature DB >> 23216965 |
Timothy S C Hinks1, Nimu Varsani, David T Godsiff, Thomas C Bull, Katherine L Nash, Lisa McLuckie, Catherine Maule, Tessa Flower, Anthony Warley.
Abstract
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.Entities:
Mesh:
Year: 2012 PMID: 23216965 PMCID: PMC3537536 DOI: 10.1186/1471-2334-12-339
Source DB: PubMed Journal: BMC Infect Dis ISSN: 1471-2334 Impact factor: 3.090
Demographics and T-Spot results of all participants
| | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| | | | | | ||||||||
| | | | | | ||||||||
| Age (years), median (range) | 34 | (18 to 69) | | 73 | (27 to 95) | | 44 | (23 to 60) | | 71 | (25 to 93) | |
| Male, n (%)† | 25 | (17) | | 60 | (45) | | 7 | (32) | | 77 | (49) | |
| Ethnicity, n (%) | | | | | | | | | | | | |
| White Caucasian | - | - | | 133 | (99) | | 20 | (91) | | 156 | (100) | |
| Hispanic | - | - | | 1 | (0.7) | | 0 | (0) | | 0 | (0) | |
| Asian‡ | - | - | | 0 | (0) | | 2 | (9) | | 0 | (0) | |
| BCG (history or scar), n (%) | | | | | | | | | | | | |
| Yes | 119 | (84) | | 55 | (41) | | 18 | (82) | | 75 | (48) | |
| No | 8 | (5.6) | | 57 | (43) | | 3 | (14) | | 50 | (32) | |
| Unknown | 1 | (0.7) | | 22 | (16) | | 1 | (5) | | 30 | (19) | |
| TSpot result including initial borderline results, n, (%) (95%CI) | | | | | | | | | | |||
| Positive | 14 | (9.9) | (5.0 to 15) | 28 | (21) | (14 to 27) | 2 | (9.1) | (0 to 21) | 13 | (8.3) | (4.0 to 13) |
| Borderline positive | 2§ | (1.4) | (0 to 3.3) | 3 | (2.2) | (0 to 4.7) | 0 | (0) | (N/A) | 5 | (3.2) | (0.44 to 6.0) |
| Borderline negative | 6§ | (4.2) | (0.92 to 7.5) | 1 | (0.7) | (0 to 2.2) | 1 | (4.5) | (0 to 13) | 2 | (1.3) | (0 to 3.0) |
| Negative | 120 | (85) | (79 to 90) | 102 | (76) | (68 to 82) | 19 | (86) | (72 to 100) | 136 | (87) | (82 to 92) |
| TSpot result excluding those borderline results which were not retested, n, (%) (95%CI) | | | | | | | | |||||
| Positive | 16 | (11) | (6.1 to 16) | 28 | (22) | (14 to 29) | 2 | (9.5) | (0 to 22) | 13 | (8.7) | (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).
Figure 1Study flow chart showing all participant cohorts. * comprises 3 borderline positive, 1 borderline negative; † comprises 1 borderline negative; ‡ comprises 5 borderline positive, 2 borderline negative.
Demographics of the unexposed individuals
| | | ||||||
|---|---|---|---|---|---|---|---|
| | | ||||||
| Age (years), median (range) | 64 | (45-87) | 70 | (25-93) | | 0.81 | |
| Male, n (%) | 5 | (38) | 70 | (52) | | 0.36 | |
| Ethnicity, n (%) | | | | | | | |
| White Caucasian | 13 | (100) | 136 | (100) | | | |
| Country of birth | | | | | | | |
| UK born | 9 | (69) | 126 | (93) | |||
| Other | 4 | (31)† | 10 | (7.4) | | | |
| Years since immigration, median (range) | 43 | (21-62) | 52 | (8-61) | | | |
| Ever visited a high prevalence country, n (%) | 4 | (31) | 47 | (35) | | 0.84 | |
| Years since last visit, median (range) | 8.5 | (0-40) | 5.5 | (0-60) | | | |
| Ever resident in a high prevalence area >6/52, n (%) | 2 | (15) | 27 | (20) | | 0.64 | |
| Occupation: healthcare, prison, lab n (%)‡ | 4 | (31) | 18 | (13) | | 0.09 | |
| BCG (history or scar), n (%) | | | | | | | |
| Yes | 7 | (54) | 66 | (49) | | 0.73 | |
| No | 4 | (31) | 44 | (33) | | | |
| Unknown | 2 | (15) | 26 | (19) | | | |
| Medical history, n (%) | | | | | | | |
| Comorbidity known to be associated with TB§ | 0 | (0) | 21 | (16) | | 0.22 | |
| Immunosuppresive medications∥ | 4 | (31) | 12 | (9.2) | |||
| Ever known to be exposed to TB | 4 | (31) | 26 | (19) | | 0.32 | |
| Ever had treatment for tuberculosis | 2 | (15) | 2 | (1.5) | |||
† 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).
Figure 2Age 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].