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Research on risk prediction model of cquired drug-resistant tuberculosis based on clinical big data

Research on risk prediction model of acquired drug-resistant tuberculosis based on clinical big data

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2300067585
Enrollment
Unknown
Registered
2023-01-12
Start date
2023-01-15
Completion date
Unknown
Last updated
2023-05-15

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Tuberculosis

Interventions

Case series:N/A

Sponsors

The Third People's Hospital of Shenzhen
Lead Sponsor

Eligibility

Sex/Gender
All
Age
No minimum to 100 Years

Inclusion criteria

Inclusion criteria: 1. Bacteriological culture result was positive and it was mycobacterium tuberculosis infection; 2. The initial drug sensitivity test results of Mycobacterium tuberculosis infection existed within 30 days before anti tuberculosis treatment; 3. At least one drug sensitivity test was conducted during the treatment; 4. The duration of continuous treatment or observation could not be less than 6 months.

Exclusion criteria

Exclusion criteria: 1. Patients with positive human immunodeficiency virus infection; 2. Patients with incomplete diagnosis and treatment data.

Design outcomes

Primary

MeasureTime frame
Incidence rate of drug-resistant tuberculosis;—

Countries

China

Contacts

Public ContactXiangxiang Liu

The Third People's Hospital of Shenzhen

xxliu2014@126.com+86 13631615917

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Sep 3, 2026