Prognostic Factors in Sézary Syndrome from a 1277-Patient Retrospective Study

Nadia Ninosu published a dataset on figshare in March 2026 containing real-world clinical data for a retrospective cohort study of Sézary syndrome. The dataset includes information on 1277 patients from the TriNetX database, focusing on prognostic factors for survival and infections. The study examined risk factors including age, lactate dehydrogenase levels, anemia, white blood cell count, sex, and race.

Use Cases

• Training survival prediction models based on age, LDH, anemia, and white blood cell count.
• Analyzing risk factors for sepsis based on elevated LDH, anemia, elevated WBC, and race.
• Investigating associations between anemia and elevated WBC with pneumonia risk.
• Validating simplified prognostic index models for Sézary syndrome stage IV patients.

Strengths

• Dataset is derived from a large cohort of 1277 patients, which is notable for a rare disease.
• Study validates a simplified prognostic index model (sPIM) for Sézary syndrome.
• License is CC-BY-4.0, permitting open reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect temporal or source bias inherent to the TriNetX database.

Provenance

Source

TriNetX database

Collection Method

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

Freshness

Last updated 2026-03-19 06:25:53