Antisynthetase Syndrome Diagnostic Probability Score Based on Immunoassay Results

A retrospective single-center study of 125 patients with positive anti-aminoacyl–tRNA synthetase autoantibodies (ASA) detected between January 2023 and September 2025. The dataset likely contains variables used to derive a multivariable diagnostic probability score integrating line-blot immunoassay intensity, indirect immunofluorescence patterns, and anti-Ro52 co-positivity. It was authored by Juan Francisco Luchoro and shared under a CC-BY-4.0 license.

Use Cases

• Developing diagnostic classifiers for antisynthetase syndrome based on immunoassay results.
• Evaluating the performance of multivariable probability scores in clinical settings.
• Comparing the discriminatory capacity of different immunological markers mentioned in the description.
• Training models to stratify patients into low-, intermediate-, and high-probability diagnostic categories.

Strengths

• Includes data from 125 patients, with 33 fulfilling diagnostic criteria for antisynthetase syndrome.
• The derived diagnostic model achieved an AUC of 0.94 (95% CI 0.89–0.99).
• Integrates multiple routine immunoassay results (LIA intensity, IIF-HEp-2 patterns, anti-Ro52).

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download.
• Data is from a single-center retrospective study, which may limit generalizability.
• The dataset is small, at 731.4 KB, indicating limited scope.

Provenance

Source

figshare

Collection Method

Retrospective single-center study using line-blot immunoassay, indirect immunofluorescence, and clinical diagnostic criteria.

Time Range

January 2023 to September 2025

Freshness

Last updated 2026-05-29 06:07:21; freshness should be verified.