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Identification and counting of cryptococcus in cerebrospinal fluid of patients with non-HIV related cryptococcal meningitis by using artificial intelligence

Identification and counting of cryptococcus in cerebrospinal fluid of patients with non-HIV related cryptococcal meningitis by using artificial intelligence

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2200063292
Enrollment
Unknown
Registered
2022-09-03
Start date
2022-09-01
Completion date
Unknown
Last updated
2023-04-17

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

Conditions

Non-HIV associated cryptococcal meningitis

Interventions

case series:No

Sponsors

The Third Affiliated Hospital of Sun Yat-sen University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 65 Years

Inclusion criteria

Inclusion criteria: 1. Patients diagnosed with cryptococcal meningitis in our hospital; 2. Cerebrospinal fluid Cryptococcus ink staining was positive; 3. Patients aged 18-65 years.

Exclusion criteria

Exclusion criteria: HIV positive.

Design outcomes

Primary

MeasureTime frame
Cryptococcal count;—

Countries

China

Contacts

Public ContactFuhua Peng

The Third Affiliated Hospital of Sun Yat-sen University

pfh93@163.com+86 18922102909

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026