Prognostic Factors in Sézary Syndrome: Propensity Score-Matched Study on 1277 Patients

1277 patient records from a retrospective cohort study using real-world data from the TriNetX database. Nadia Ninosu published this analysis on figshare in March 2026. The study investigates risk factors for survival and infections in Sézary syndrome.

Use Cases

• Predicting 5-year survival risk based on age, lactate dehydrogenase, anemia, and white blood cell count.
• Identifying risk factors for sepsis based on lactate dehydrogenase, anemia, white blood cell count, and race.
• Evaluating pneumonia risk based on anemia and elevated white blood cell count.
• Validating a simplified prognostic index model (sPIM) for Sézary syndrome patients.

Strengths

• 1277 patient records, described as the largest group of Sézary syndrome patients assessed for risk stratification to-date.
• Examines multiple outcomes: 5-year survival, Systemic Inflammatory Response Syndrome (SIRS), sepsis, and pneumonia.
• Data sourced from the TriNetX database, a real-world data platform.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is 17.2 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.

Freshness

Last updated 2026-03-19 06:25:53; freshness should be verified.