Latent Tuberculosis Risk Factors Among Type 2 Diabetics in Shenzhen

1,363 patients with type 2 diabetes and no prior TB history were enrolled from three tertiary hospitals in Shenzhen, China. The dataset contains results from an interferon-gamma release assay (IGRA) used to assess latent tuberculosis infection (LTBI), with a reported prevalence of 63.7%. It was used to identify risk factors for LTBI, including HbA1c levels and hemoglobin levels.

Use Cases

• Perform logistic regression to identify risk factors for LTBI using variables like HbA1c level and hemoglobin level.
• Analyze the association between higher education levels and LTBI prevalence among the 1,363 type 2 diabetic patients.
• Investigate the correlation between living with a relative with TB and LTBI status using the collected patient data.
• Model the relationship between poor glycemic control (HbA1c >7%) and the odds of LTBI infection.

Strengths

• Contains data from 1,363 patient records, providing a substantive sample for analysis.
• Focuses on a specific, clinically relevant population: type 2 diabetics in Shenzhen, China with no prior TB.
• Includes results from a standardized diagnostic test (interferon-gamma release assay) for LTBI assessment.
• Study design is a multicenter cross-sectional analysis from three tertiary hospitals.

Limitations

• The dataset is very small in file size (18.0 KB), suggesting it may be a summary table or document rather than raw patient-level data.
• Limited geographic scope to Shenzhen, China, which may not be generalizable to other populations.
• As a cross-sectional study, it can identify associations but not establish causality for risk factors.

Provenance

Source

figshare, authored by Zhenyang Liu.

Collection Method

Hospital-based multicenter cross-sectional study; patients enrolled from three tertiary general hospitals, with LTBI assessed via interferon-gamma release assay (IGRA).

Time Range

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Freshness

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Geography

Shenzhen, China.