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Analysis of latent tuberculosis infection screening and preventive treatment in high-risk populations, Henan, 2023
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A-hui ZHAO1, Hong-mei LUO2, Min GAO1, Pei ZHANG1, Ming-ju LI1, Ding-yong SUN1, Jian-wei SUN1
Modern Preventive Medicine | 2025, 52(14) : 2651 - 2657
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Modern Preventive Medicine | 2025, 52(14): 2651-2657
Experimental Technology and Applications
Analysis of latent tuberculosis infection screening and preventive treatment in high-risk populations, Henan, 2023
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A-hui ZHAO1, Hong-mei LUO2, Min GAO1, Pei ZHANG1, Ming-ju LI1, Ding-yong SUN1, Jian-wei SUN1
Affiliations
  • Institute of Tuberculosis Control and Prevention, Henan Center for Disease Control and Prevention, Zhengzhou, Henan 450016, China
Published: 2025-07-25 doi: 10.20043/j.cnki.MPM.202501084
Outline
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Objective

To analyze the status and influencing factors of latent tuberculosis infection (LTBI) screened by the recombinant mycobacterium tuberculosis fusion protein (EC) test in Henan Province, and to understand the willingness of LTBI individuals to accept preventive treatment, with the aim of providing data support for improving tuberculosis (TB) control strategies in Henan Province.

Methods

In 2023, the EC test was used to screen for LTBI and conduct preventive treatment among high-risk groups for TB (including school teachers and students, healthcare workers, close contacts, and HIV/AIDS patients) in counties participating in the Henan Province TB Care Action public welfare project. Excel 2019 and SPSS 21.0 software were used to analyze the data. Binary logistic regression model was used to analyze the influencing factors of latent tuberculosis infection.

Results

A total of 4 818 subjects were included in the study, excluding those who had not been screened for latent infection due to other reasons such as screening contraindications. The positive rate of EC test was 4.42% (213/4 818). Four patients with active pulmonary tuberculosis were found, and the detection rate was 83.02/100 000 (4/4 818). 204 people met the criteria for preventive treatment, 86 people received preventive treatment, the acceptance rate was 42.16% (86/204), the completion rate was 89.53%(77/86), among which the main reason for refusal was that they thought they would not get sick (77.97% (92/118)). Binary logistic regression model analysis results showed that with students as the control group, medical staff (OR=9.762,95% CI:3.441-27.697), close contact staff (OR=6.853, 95% CI:3.074-15.277), HIV/AIDS (OR=4.387, 95% CI:1.582-12.165) were risk factors for TB infection.

Conclusion

Healthcare workers, close contacts, and HIV/AIDS patients are the focus of LTBI screening. Additionally, enhancing the awareness of preventive treatment among individuals with latent infections is crucial to improving the acceptance rate of preventive treatment and advancing TB control efforts in Henan Province.

Tuberculosis  /  Recombinant mycobacterium tuberculosis fusion proteins  /  Latent tuberculosis infection  /  Preventive treatment
A-hui ZHAO, Hong-mei LUO, Min GAO, Pei ZHANG, Ming-ju LI, Ding-yong SUN, Jian-wei SUN. Analysis of latent tuberculosis infection screening and preventive treatment in high-risk populations, Henan, 2023[J]. Modern Preventive Medicine, 2025 , 52 (14) : 2651 -2657 . DOI: 10.20043/j.cnki.MPM.202501084
Year 2025 volume 52 Issue 14
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doi: 10.20043/j.cnki.MPM.202501084
  • Receive Date:2025-01-06
  • Online Date:2026-03-16
  • Published:2025-07-25
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  • Received:2025-01-06
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    Institute of Tuberculosis Control and Prevention, Henan Center for Disease Control and Prevention, Zhengzhou, Henan 450016, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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