Prognostic Factors in Sézary Syndrome from 1277 Patient Records

1277 patient records from the TriNetX database were analyzed in a retrospective propensity score-matched study. The dataset likely contains variables for risk factors like age, lactate dehydrogenase (LDH), anemia, white blood cell count, sex, and race, and outcomes including 5-year survival, SIRS, sepsis, and pneumonia. The study, authored by Nadia Ninosu and last updated in March 2026, confirms known risk factors and introduces anemia as a novel prognostic factor.

Use Cases

• Predicting 5-year survival risk based on patient age and biomarker levels like LDH and WBC.
• Identifying risk factors for sepsis and pneumonia based on anemia and elevated white blood cell count.
• Validating simplified prognostic index models for Sézary syndrome using real-world clinical data.

Strengths

• Focuses on a rare disease (Sézary syndrome) with a relatively large cohort of 1277 patients.
• Analyzes multiple clinical outcomes: 5-year survival, SIRS, sepsis, and pneumonia.
• The study introduces and validates a simplified prognostic index model (sPIM).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is 62.9 KB, indicating a very limited scope, likely containing summary or processed results rather than raw patient data.

Provenance

Source

TriNetX database

Collection Method

Propensity score-matched retrospective cohort study using real-world data.

Freshness

Last updated 2026-03-19 06:25:52; freshness should be verified.