Glucose Impact on Drug-Resistant Tuberculosis Clearance

Figshare hosts a clinical cohort study analyzing sputum smear conversion in 141 extensively drug-resistant tuberculosis patients, including 84 with diabetes mellitus. The research identifies hyperglycemia as a primary driver of delayed bacterial clearance, using Kaplan–Meier analysis and Cox regression over a 48-month retrospective period.

Use Cases

• Analyze the association between blood glucose (GLU) levels and sputum smear conversion time using Cox regression models.
• Investigate the mediation effect of hyperglycemia on the relationship between diabetic status (XDR + DM) and bacterial clearance rates.
• Model the glucose 'dose–response' relationship by categorizing GLU levels (e.g., ≥11.1 mmol/L) to predict clearance delay risk.
• Examine correlations between inflammatory markers like CRP and CD4+/CD8+ T-cell counts with treatment outcomes in the patient cohorts.

Strengths

• Study includes 141 patient records from a defined 48-month retrospective cohort.
• Multivariable analysis provides specific hazard ratios (aHR=1.48, aHR=5.29) linking glucose levels to outcomes.
• Clear comparative groups: 57 XDR-only and 84 XDR with diabetes mellitus patients.

Limitations

• Dataset is very small at 184.6 KB, likely containing summary statistics rather than raw patient-level data.
• Single-center retrospective design limits generalizability and may introduce selection bias.
• Unknown row and column structure for the underlying tabular data, restricting direct analytical use.

Provenance

Source

Figshare, author Xin Yao.

Collection Method

48-month single-center retrospective cohort study.

Time Range

Study period covers 48 months.

Freshness

Last updated March 2026.

Geography

Single-center study, geographic location unknown.