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Erschienen in: BMC Infectious Diseases 1/2021

Open Access 01.12.2021 | Research

Decreased annual risk of tuberculosis infection in South Korean healthcare workers using interferon-gamma release assay between 1986 and 2005

verfasst von: Eun Hye Lee, Nak-Hoon Son, Se Hyun Kwak, Ji Soo Choi, Min Chul Kim, Chang Hwan Seol, Sung-Ryeol Kim, Byung Hoon Park, Young Ae Kang

Erschienen in: BMC Infectious Diseases | Ausgabe 1/2021

Abstract

Background

Tuberculosis (TB) has been a major public health problem in South Korea. Although TB notification rate in Korea is gradually decreasing, still highest among the member countries of the Organization for Economic Cooperation and Development. To effectively control TB, understanding the TB epidemiology such as prevalence of latent tuberculosis infection (LTBI) and annual risk of TB infection (ARI) are important. This study aimed to identify the prevalence of LTBI and ARI among South Korean health care workers (HCWs) based on their interferon-gamma release assays (IGRA).

Methods

This was single center, cross-sectional retrospective study in a tertiary hospital in South Korea. We performed IGRA in HCWs between May 2017 and March 2018. We estimated ARI based on IGRA results. Logistic regression model was used to identify factors affecting IGRA positivity.

Results

A total of 3233 HCWs were analyzed. Median age of participants was 38.0 and female was predominant (72.6%). Overall positive rate of IGRA was 24.1% and IGRA positive rates age-group wise were 6.6%, 14.4%, 34.3%, and around 50% in the age groups 20s, 30s, 40s, and 50s and 60s, respectively. The ARIs was 0.26–1.35% between 1986 and 2005; rate of TB infection has gradually decreased in the last two decades. Multivariable analysis indicated that older age, healed TB lesion in x-ray, and male gender were risk factors for IGRA positivity, whereas working in high-risk TB departments was not.

Conclusions

Results showed that ARI in South Korean HCWs gradually decreased over two decades, although LTBI remained prevalent. Our results suggest that the LTBI test result of HCWs might be greatly affected by age, rather than occupational exposure, in intermediate TB burden countries. Thus, careful interpretation considering the age structure is required.
Hinweise

Supplementary Information

The online version contains supplementary material available at https://​doi.​org/​10.​1186/​s12879-021-06855-5.
Eun Hye Lee and Nak-Hoon Son have contributed equally

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Abkürzungen
TB
Tuberculosis
LTBI
Latent tuberculosis infection
ARI
Annual risk of TB infection
TST
Tuberculin skin test
BCG
Bacillus Calmette–Guérin
HCWs
Healthcare workers
IGRA
Interferon-gamma release assays
QFT-GIT
QuantiFERON® TB-Gold In Tube test
NTM
Nontuberculous mycobacteria
KNHANES
National Health and Nutrition Examination Survey

Background

South Korea is an intermediate tuberculosis (TB) burden country; in 2019, the annual incidence of TB was reported to be 59 per 100,000 [1]. TB is still an important public health concern in South Korea; for effective TB control, understanding its epidemiology, such as the prevalence of latent tuberculosis infection (LTBI) and annual risk of TB infection (ARI) is important. ARI represents the proportion of newly infected or re-infected people over a 1-year period calculated based on the prevalence of LTBI. LTBI prevalence has steadily decreased in South Korea [2, 3]; however, about one third of the general population in South Korea is still thought to have LTBI [4, 5].
To date, LTBI prevalence studies and analysis of ARI have been conducted mainly using the tuberculin skin test (TST) in South Korea [2, 6, 7]. In previous studies, the annual risk of TB infection in South Korea was estimated using TST results in ages 5–9 years, and the ARI was 0.5–5.3% based on a 10-mm induration between 1958 and 1988 [6]. However, studies on ARI using interferon-gamma release assay (IGRA) results in South Korea are lacking.
In this study, we aimed to identify the prevalence of LTBI and estimate ARI in health care settings based on IGRA results of HCWs. We also aimed at identifying the risk factors of LTBI for HCWs with a particular focus on their age in an intermediate TB burden country.

Methods

Study population

This study was conducted at Severance Hospital, a 2500-bed tertiary referral hospital in South Korea. A total of 3283 HCWs underwent the LTBI test between May 2017 and March 2018 as part of a national TB elimination program. The LTBI test used was QuantiFERON® TB-Gold In Tube test (QFT-GIT). High-risk departments such as respiratory department and outpatient clinic, medical intensive care unit, emergency department, microbiology laboratory, and radiology department were defined as TB-related departments. We collected data related to participants’ age, sex, occupation, hospital department, and years of employment; other electronic medical records were retrospectively reviewed. Previously healed TB lesions on chest radiographs were defined as calcified nodules or lymph nodes, discrete fibrotic scars with volume loss, or pleural thickening or calcification [8, 9]

IGRA

The IGRA was performed using a QuantiFERON® TB-Gold In Tube test (QIAGEN, Hilden, Germany) following the manufacturer’s instructions. A positive IGRA result was defined as an interferon-gamma response to the TB antigen minus that of the nil tube of ≥ 0.35 IU/mL. Chest radiographs were evaluated to exclude active TB at the same period. The HCWs were diagnosed with LTBI if the IGRA results were positive.

Annual risk of tuberculosis infection (ARI)

The study subjects were divided into nine age groups (20–24, 25–29, 30–34, 35–39, 40–44, 45–49, 50–54, 55–60, and 60–69 years). ARIs were calculated based on the results of IGRAs using the following math formula [10]
  • ARI (%) = (1 − [1 − IGRA positive rate of each age group/100][1/mean age of each age group]) × 100
  • Midyear of TB infection (y) = 2017-mean age of each age group/2

Statistical analysis

Continuous variables were presented as means ± standard deviation (SD), or median and interquartile range (IQR), and were analyzed using the Student t-test or the Mann–Whitney test. Categorical variables were reported as number and percentage, and were analyzed using the chi-square test or Fisher’s exact test. To determine if IGRA positivity differed according to age in this study, we obtained the probability of a positive result in each subject using logistic regression and expressed it in the form of a figure. Risk factors associated with IGRA positivity were investigated using logistic regression models, and the results were reported as odds ratios (ORs) and 95% confidence intervals (CIs). All tests of significance were 2-tailed, and a p value of less than 0.05 was considered statistically significant. All analyses were performed using SPSS software, version 23.0 (IBM, Armonk, NY, USA) and SAS 9.4 (SAS Institute, Cary NC).

Results

Baseline characteristics of the study population

Overall, 3233 HCWs were analyzed after excluding 50 HCWs who had undergone previous anti-tuberculosis treatment or LTBI treatment (Fig. 1). We also excluded participants with presumptive active TB by chest x-ray and respiratory symptoms. There was no active TB case among our study participants.
Baseline characteristics of HCWs are shown in Table 1. Of the total 3233 HCWs, 2348 (72.6%) were female, and the median age was 38 (IQR 29–46). Occupationally, the proportion of heath aids, physicians, and nurses was similar. The working period was divided into groups ranging from less than 1 year to more than 30 years with the percentage of employees working for 10–20 years being the highest (30.1%). Forty-two HCWs (1.3%) reported healed TB lesion on chest x-ray. Overall, 780 of 3233 HCWs were IGRA positive (24.1%).
Table 1
Baseline characteristics of study population
 
All participants (N = 3233)
Age (year), median (IQR)
38 (29–46)
 20–29
835 (25.8)
 30–39
904 (28.0)
 40–49
999 (30.9)
 50–59
449 (13.9)
 ≥ 60
46 (1.4)
Gender; female
2348 (72.6)
BMI (kg/m2), median (IQR)
22 (20–24)
Smoking statusa
 
 Never smoker
2341 (72.4)
 Ex-smoker (quit ≥ 1 year)
243 (7.5)
 Current smoker
189 (5.8)
Health care professions
 
 Administrative
46 (1.4)
 Technicianb
449 (13.9)
 Health aidsc
999 (30.9)
 Physicians
835 (25.8)
 Nurses
904 (28.0)
Work duration (month), median (IQR)
 
 < 12 months
360 (11.1)
 12 to < 60 months
722 (22.3)
 60 to < 120 months
279 (8.6)
 120 to < 240 months
667 (20.6)
 240 to < 360 months
972 (30.1)
 > 360 months
230 (7.1)
Comorbiditiesd
 
 Hypertension
210 (6.5)
 Diabetes mellitus
85 (2.6)
Findings on chest X-raye
 
 No active lung lesion
3063 (94.7)
 Previously healed TB
42 (1.3)
Positive results of IGRA
780 (24.1)
Data are presented as numbers (percentages) unless otherwise indicated
aTotal 2773 HCW, 460 missed data
bTechnicians who perform radiological, laboratory and pathology testing
cEmployees who provide physiotherapy and patient transfer services
dTotal 2918 HCWs, 315 missed data
eTotal 3105 HCWs, 128 missed data

Prevalence of LTBI and predicted probability for IGRA positivity according to age

Figure 2A shows the IGRA positive rate by age. Based on IGRA results, the prevalence of LTBI were 6.6% in the 20s, 14.4% in the 30s, 34.3% in the 40s, and around 50% in the 50s and 60s, respectively. As age increased, the likelihood of being positive on IGRA also increased, and the slope was 0.0929, which confirmed statistical significance (p < 0.001) (Fig. 2B). At age 40, the predicted probability of IGRA positivity was around 25% (Fig. 2B), and the results were confirmed to be similar to actual IGRA positive rates (Fig. 2A) (AUC = 0.749, diagnostic performance was good) [11] (Additional file 1: Fig. 1).

Annual risk of tuberculosis infection (ARI)

Table 2 and Fig. 3 shows the annual risk of tuberculosis infection between 1986 and 2005. The ARIs were 0.26–1.35% between 1986 and 2005. The risk has gradually decreased over the last two decades.
Table 2
Annual risk of tuberculosis infection
AGE
Number
MID_YEARa
ARI (%)
95% CI
20–24
230
2005.4
0.29
0.15–0.44
25–29
605
2003.7
0.26
0.18–0.34
30–34
403
2001.0
0.36
0.26–0.47
35–39
501
1998.5
0.51
0.40–0.62
40–44
481
1995.9
0.82
0.69–0.96
45–49
518
1993.5
1.05
0.91–1.20
50–54
286
1991.0
1.35
1.14–1.59
55–59
163
1988.5
1.26
1.01–1.57
 ≥ 60
46
1986.0
1.11
0.69–1.68
aMidyear of TB infection (y) = 2017-mean age of each age group/2

Risk factors of IGRA positivity

Table 3 shows the risk factors associated with positive IGRA results. According to univariable analysis, older age group, male gender, healed TB on chest x-ray, and longer working duration were risk factors for IGRA positivity. On the other hand, currently working in high-risk (TB related) departments was not a risk factor for IGRA positivity. Even though doctors and nurses face patients directly, IGRA positivity was lower than that among administrative staff, which is explained by the fact that the average age of doctors and nurses was younger than that of administrative staff (Additional file 2: Table 1). In multivariable analysis, older age, healed TB lesion on chest x-ray, and male gender were risk factors for IGRA positivity, whereas currently working in high-risk TB department was not.
Table 3
Factors associated with positive IGRA results
 
IGRA
Total
Univariable
Multivariable
 
Negative
Positive
OR
95% CI
p
OR
95% CI
p
Age
N (%)
N (%)
 
1.096
1.086
1.107
 < 0.001
    
 20–29
780 (93.4)
55 (6.6)
835
1
   
1
   
 30–39
774 (85.6)
130 (14.4)
904
2.259
1.612
3.166
 < 0.001
2.25
1.593
3.18
 < 0.001
 40–49
656 (65.7)
343 (34.3)
999
7.031
5.165
9.570
 < 0.001
5.95
4.282
8.268
0.0028
 50–59
220 (49.0)
229 (51.0)
449
14.013
10.023
19.591
 < 0.001
10.24
7.136
14.692
 < 0.001
 ≥ 60
23 (50.0)
23 (50.0)
46
13.340
7.021
25.345
 < 0.001
13.3
6.637
26.655
 < 0.001
Gender, male
576/2453 (23.5)
308/779 (39.5)
884 (27.4)
2.299
1.931
2.737
 < 0.001
1.56
1.243
1.968
 < 0.001
Finding of CXR
          
 No active lung
2319 (75.0)
774 (25.0)
3093
1
   
1
   
 Healed TB
14 (33.3)
28 (66.7)
42
6.240
3.268
11.915
 < 0.001
4.39
2.175
8.86
 < 0.001
Occupation
          
 Administrative
212 (53.0)
188 (47.0)
400
1
   
1
   
 Techniciana
155 (70.1)
66 (29.9)
221
0.473
0.334
0.671
0.6059
0.703
0.482
1.024
0.8625
 Health-Aidsb
642 (73.9)
227 (26.1)
869
0.447
0.348
0.575
0.9207
0.858
0.648
1.135
0.0454
 Physician
212 (73.6)
76 (26.4)
288
0.403
0.290
0.561
0.4081
0.485
0.334
0.703
0.0040
 Nurse
1232 (84.7)
223 (15.3)
1455
0.202
0.158
0.258
 < 0.001
0.66
0.484
0.899
0.3822
Department
          
 High-riskc
521 (85.7)
87 (14.3)
608
0.443
0.348
0.566
 < .0001
0.895
0.676
1.184
0.436
 Others
1932 (73.6)
693 (26.4)
2625
1
   
1
   
Working duration, months
           
 < 12 months
326 (90.6)
34 (9.4)
360
1
       
 12 to < 60 months
655 (90.7)
67 (9.3)
722
0.956
0.612
1.493
 < .0001
    
 60 to < 120 months
236 (84.6)
43 (15.4)
279
1.675
1.027
2.733
0.0127
    
 120 to < 240 months
531 (79.6)
136 (20.4)
667
2.342
1.551
3.535
0.7556
    
 240 to < 360 months
583 (60.0)
389 (40.0)
972
6.116
4.152
9.010
 < 0.001
    
 > 360 months
119 (51.7)
111 (48.3)
230
8.612
5.500
13.485
 < 0.001
    
Data are presented as numbers (percentages) unless otherwise indicated
HCW health care worker; LTBI latent tuberculous infection; BMI body mass index; TB tuberculosis; CXR chest X-ray; IGRA IFN-γ release assay; IQR interquartile range; CI confidence interval
aTechnicians who perform radiological, laboratory and pathology testing
bEmployees who provide physiotherapy and patient transfer services
chigh risk department defined as those who are working at TB-related departments, such as respiratory department of ward and outpatient clinic, medical intensive care unit, emergency department, microbiology laboratory, and radiology department

Discussion

In this study, using 3233 IGRA results of HCWs between 20 and 68 years of age, the overall prevalence of LTBI was 24.1%, and age was the strongest predictor of LTBI, rather than working in TB-related departments. The annual risk of TB infection ranged from 0.26 to 1.35% between 1986 and 2005, and its risk has gradually decreased over the last two decades.
ARI with Mycobacterium tuberculosis is known to be calculated from an observed prevalence of infection, approximating the incidence of infection. ARI for TB is one of the most important indicators for accessing its epidemiology in a population and is potentially informative about the transmission of TB within a community [12]. The main cause for the decline in ARI was a decreased prevalence of active TB in South Korea over 30 years, estimated from 443 to 167 cases per 100,000 population between 1985 and 2005, owing to economic growth and governmental effort to control TB via Bacillus Calmette–Guérin (BCG) vaccination, a TB notification system, and appropriate treatment through public health systems [3, 13]. Additionally, improvement on infection control at medical institutions is believed to have contributed to reducing ARI among HCWs.
To date, trends for TB prevalence and ARI have been documented in several countries, and most research has been based on national TST surveys [1416]. In South Korea, Kim et al. reported that the prevalence of LTBI using TST in persons < 30 years of age decreased from 55.9% in 1965 to 30.8% in 1995. In conjunction with this change, the ARI of TB in persons < 30 years of age decreased from 5.3% in 1965 to 0.5% in 1995 [2]. The use of TST however, has a poor specificity due to its cross-reaction with BCG vaccine strain and nontuberculous mycobacteria. According to a study conducted in South Korea comparing TST and IGRA results according to TB infection risk [4], the agreement between TST and IGRA was not high, and IGRA was a better indicator of the risk of TB infection than TST in a BCG-vaccinated population. There have been attempts to estimate ARI using IGRA [17, 18]. Nishimura et al. used IGRA data from HCWs in a university hospital in Japan and reported estimated ARIs for TB of 0.156% in 1986 and 0.049% in 2004 [19]. In a recent prospective study of a population of 13,580 individuals in China, ARI was estimated by conversion of IGRA and TST [20]. The annual TB infection rate was suggested to be 3.1% based on IGRA conversion and 1.5% based on persistent positive results after IGRA conversion. Meanwhile, however, ARI based on TST conversion was 14.5%, suggesting of limitation of ARI estimation based on TST results. The study concluded that the use of IGRA was more accurate than TST when estimating ARI [20]. However, studies on ARI using IGRA results are lacking in South Korea. Among recent large-scale surveys, a survey of 2051 sample of the 2016 Korea National Health and Nutrition Examination Survey (KNHANES) showed that the overall prevalence of LTBI was 33.2% using TST results [3, 21], which was higher than our study results. Considering the false positivity of TST, we believed that our data using IGRA results would reflect more accurate LTBI prevalence and ARI in South Korea where BCG vaccination is mandatory.
Our study also suggested that LTBI was related to older age, healed TB lesion on chest x-ray, and male gender, and not to current occupation in high-risk TB department. Several previous studies reported that TB-related departments such as respiratory ward or clinic, medical ICU, and emergency department increased the risk of LTBI positivity as compared to other departments [2224]. However, the majority of studies reporting such analyses were conducted in low-incidence settings. Contrarily, in countries with a relatively high TB burden, several studies have reported no significant differences in the LTBI positivity in HCWs working in TB-related department and other departments [25, 26]. The possible reasons for our results include a probability of casual contact with active TB patients in Korea, increased age regardless of working department, and adequate infection control in tertiary hospitals in our study setting.
Although the ARI for TB gradually decreased over 20 years in our study, LTBI prevalence and ARI among HCWs in South Korea were still higher than those in developed countries. This study also showed that the prevalence of LTBI was affected more by age-related risk exposure than working in a TB-related department. It is well known that exposure to TB at a young age and recent infection are major risk factors for the progression to active TB [27, 28]. Therefore, in South Korea, approaches to LTBI treatment among HCWs according to age should be differentiated due to a high likelihood of recent infections at a young age regardless of the department in which one is currently working.
This study has several limitations. First, we conducted this study at a single, tertiary hospital; hence, the findings may not be representative of HCWs in other hospital nor general population in South Korea. Second, in calculating ARI in this study, we used cross-sectional data rather than longitudinal data; hence, the accuracy of findings for old age may decrease given that the IGRA test scores wane as the age increases. Despite these limitations, to our knowledge, this is the first study in South Korea to report the estimation of ARI for TB based on IGRA results, and our study included large HCWs of different ages, working department, and working durations. Considering that age has a great impact on LTBI positivity, long-term follow-up studies are needed to identify how the progression from LTBI to active TB differs by age group.

Conclusions

Our study showed that ARI in HCWs in South Korea has gradually decreased over the last two decades, but LTBI was still considerably prevalent. We also suggest that LTBI among HCWs might be greatly affected by age, rather than occupational exposure in intermediate TB burden countries, hence different LTBI treatment strategies by age group should be considered.

Acknowledgements

We thank Hee-Jin Kim, M.D., M.P.H. (Central Training Institute, Korean National Tuberculosis Association, Seoul, South Korea) for valuable comments and advice in this research.

Declarations

The research protocol was approved by the Institutional Review Board (IRB) of Severance Hospital (IRB No. 4-2017-1196). The need for informed consent was waived by the IRB of Severance Hospital due to the retrospective nature of the study. All methods were carried out in accordance with relevant guidelines and regulations.
Not applicable.

Competing interests

The authors declare that they have no competing interests.
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Metadaten
Titel
Decreased annual risk of tuberculosis infection in South Korean healthcare workers using interferon-gamma release assay between 1986 and 2005
verfasst von
Eun Hye Lee
Nak-Hoon Son
Se Hyun Kwak
Ji Soo Choi
Min Chul Kim
Chang Hwan Seol
Sung-Ryeol Kim
Byung Hoon Park
Young Ae Kang
Publikationsdatum
01.12.2021
Verlag
BioMed Central
Erschienen in
BMC Infectious Diseases / Ausgabe 1/2021
Elektronische ISSN: 1471-2334
DOI
https://doi.org/10.1186/s12879-021-06855-5

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