| Literature DB >> 22701664 |
Sally Banfield1, Elaine Pascoe, Aesen Thambiran, Aris Siafarikas, David Burgner.
Abstract
BACKGROUND: Indeterminate results are a recognised limitation of interferon-γ release assays (IGRA) in the diagnosis of latent tuberculosis (TB) infection (LTBI) and TB disease, especially in children. We investigated whether age and common co-morbidities were associated with IGRA performance in an unselected cohort of resettled refugees.Entities:
Mesh:
Year: 2012 PMID: 22701664 PMCID: PMC3373489 DOI: 10.1371/journal.pone.0038556
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Demographic characteristics of study population (n = 1130).
| Characteristic | Estimate |
| Age (years) | 19.8±13.4 |
| Gender: male (%) | 552 (48.8%) |
|
| |
| Africa | 1041 (92.1%) |
| Sudan | 318 (28.1%) |
| Congo | 140 (12.4%) |
| Liberia | 113 (10.0%) |
| Burundi | 78 (6.9%) |
| Tanzania | 58 (5.1%) |
| Sierra Leonne | 57 (5.0%) |
| Africa: other | 277 (24.5%) |
| Asia | 88 (7.8%) |
| Burma | 68 (6.0%) |
| Asia: Other | 20 (1.8%) |
| Other | 1 (0.1%) |
|
| |
| Summer | 156 (13.8%) |
| Autumn | 239 (21.1%) |
| Winter | 355 (31.4%) |
| Spring | 380 (33.6%) |
| Body mass index (kg/m2) | 20.3±4.7 |
| MMR vaccine received (%) | 830 (73.4%) |
Estimate values represent mean ± standard deviation or median (interquartile range) or frequency (percent) of study population.
Other represents 17 countries of birth in Africa with <4% of study population.
Other represents 2 countries of birth in Asia with <4% of study population.
Other represents 1 country of birth outside of Asia or Africa with <4% of study population.
Clinical characteristics of study population (n = 1130).
| Characteristic | Estimate |
|
| |
| Positive | 264 (23.4% of all IGRA results) |
| Positive: |
|
| Positive: |
|
| Negative | 740 (65.5% of all IGRA results) |
| Negative: |
|
| Negative: |
|
| Indeterminate | 126 (11.1% of all IGRA results) |
| Indeterminate: |
|
| Indeterminate: |
|
|
| |
| Yes | 44 (3.9%) |
| No | 1086 (96.1%) |
|
| |
| Positive | 298 (27.7%) |
| Negative | 744 (69.3%) |
| Equivocal | 32 (3.0%) |
|
| |
| Positive | 72 (6.4%) |
| Negative | 1023 (90.7%) |
| Equivocal | 33 (2.9%) |
|
| |
| Yes | 444 (39.3%) |
| No | 686 (60.7%) |
|
| |
| Sufficient | 161 (14.2%) |
| Insufficient | 891 (78.9%) |
| Deficient | 78 (6.9%) |
| Haemoglobin (g/L) | 130.5±17.6 |
| Iron (µmol/L) | 13.9±5.8 |
| Transferrin (µmol/L) | 36.7±5.7 |
| Transferrin saturation (%) | 19.7±9.0 |
| Ferritin (µg/L) | 44 (24–78) |
| Anaemia (%) | 203 (18.0%) |
| Iron Deficiency (%) | 166 (14.7%) |
| Iron deficiency anaemia (%) | 80 (7.1%) |
| Alkaline phosphatase (μ/L) | 138.5 (75–284) |
| Phosphate (mmol/L) | 1.4 (1.2–1.7) |
| Total calcium (mmol/L) | 2.4±0.1 |
| Eosinophil count (×109/L) | 0.4±0.6 |
Estimate values represent mean ± standard deviation or median (interquartile range) or frequency (percent) of study population.
Screening through only the QuantiFERON®-TB Gold or QuantiFERON®-TB Gold In-tube assays.
Defined as a positive serology to either Schistosoma or S. stercoralis, or an eosinophil count >0.7×109/L.
Defined as deficient (<27.5 nmol/L), insufficient (27.5–78 nmol/L) and sufficient (>78 nmol/L).
Characteristics associated with a positive IGRA result (n = 1004).
| Variable | Univariate odds ratio (95% CI | P value | Multivariate odds ratio (95% CI | P value |
|
| 0.189 | – | ||
| Male | 1 | |||
| Female | 0.83 (0.62–1.10) | |||
|
| <0.001 | <0.001 | ||
| Linear | 1.10 (1.08–1.12) | 1.10 (1.08–1.12) | ||
| Quadratic | 1.00 (1.00–1.00) | 1.00 (1.00–1.00) | ||
|
| 0.287 | – | ||
| Not Africa | 1 | |||
| Africa | 1.35 (0.78–2.35) | |||
|
| 0.006 | 0.022 | ||
| Summer | 1 | 1 | ||
| Autumn | 0.46 (0.28–0.74) | 0.49 (0.29–0.82) | ||
| Winter | 0.52 (0.34–0.79) | 0.52 (0.33–0.83) | ||
| Spring | 0.64 (0.42–0.98) | 0.60 (0.39–0.95) | ||
|
| 0.431 | – | ||
| Deficient | 1 | |||
| Insufficient | 1.28 (0.72–2.28) | |||
| Sufficient | 1.53 (0.79–2.95) | |||
| Body mass index | 1.04 (0.92–1.18) | 0.531 | – | |
| Helminth infection | 1.84 (1.39–2.45) | <0.001 | – | |
| Malaria infection | 1.42 (0.65–3.07) | 0.376 | – | |
| Iron deficiency | 0.92 (0.61–1.40) | 0.712 | – | |
| Iron deficiency anaemia | 0.83 (0.45–1.53) | 0.541 | – | |
| Eosinophil count (Log(×109/L) | 1.08 (0.95–1.22) | 0.249 | – |
CI = confidence interval.
Multivariate odds ratio and p-value reported if significant (P<0.05).
Age- and gender-adjusted variable.
Figure 1The probability of a positive IGRA based on age.
This figure shows the estimated proportion of positive IGRA results, compared to negative IGRA results, depending on the age at assessment. Not adjusted for other covariates in the multivariate model.
Characteristics associated with an indeterminate IGRA result (n = 1130).
| Variable | Univariate odds ratio (95% CI |
| Multivariate odds ratio (95% CI |
|
|
| 0.932 | – | ||
| Male | 1 | |||
| Female | 0.98 (0.68–1.42) | |||
|
| <0.001 | <0.001 | ||
| Linear | 0.94 (0.93–0.96) | 0.93 (0.91–0.95) | ||
| Quadratic | 1.00 (1.00–1.00) | 1.00 (1.00–1.00) | ||
|
| 0.746 | – | ||
| Not Africa | 1 | |||
| Africa | 1.12 (0.55–2.30) | |||
|
| 0.125 | – | ||
| Summer | 1 | |||
| Autumn | 1.60 (0.86–2.99) | |||
| Winter | 0.93 (0.49–1.73) | |||
| Spring | 1.00 (0.54–1.85) | |||
|
| 0.182 | – | ||
| Deficient | 1 | |||
| Insufficient | 2.50 (0.89–6.97) | |||
| Sufficient | 2.04 (0.66–6.32) | |||
| Body mass index | 0.97 (0.82–1.14) | 0.701 | – | |
| Helminth infection | 1.42 (0.98–2.05) | 0.067 | 2.26 (1.48–3.46) | <0.001 |
| Malaria infection | 4.06 (2.09–7.88) | <0.001 | 3.04 (1.51–6.09) | 0.002 |
| Iron deficiency | 1.99 (1.27–3.12) | 0.003 | – | |
| Iron deficiency anaemia | 2.74 (1.58–4.77) | <0.001 | 2.69 (1.51–4.80) | 0.001 |
| Eosinophil (Log(×109/L) | 1.16 (0.99–1.37) | 0.066 | – |
CI = confidence interval.
Multivariate odds ratio and p value reported if significant (P<0.05).
Age- and gender-adjusted variable.
Figure 2The probability of an indeterminate IGRA based on age.
This figure shows the estimated proportion of indeterminate IGRA results depending on the age at the MHU visit. Not adjusted for other covariates in the multivariate model.