Chest Pain Cohort Biomarker Data for Mortality and MACE Prediction

figshare admin karger provides supplementary material for a study evaluating urinary biomarkers NAG, KIM-1, and NGAL for predicting mortality and major adverse cardiac events. The dataset includes follow-up data for 294 patients presenting with acute chest pain over 60 months, with 54 deaths and 97 MACE events recorded. The study measured biomarker concentrations alongside Troponin I and NT-proBNP.

Use Cases

• Predicting all-cause mortality based on urinary N-acetyl-ß-D-glucosaminidase (NAG) levels.
• Assessing risk of major adverse cardiac events (MACE) using kidney injury molecule-1 (KIM-1) biomarker data.
• Comparing the prognostic value of Neutrophil gelatinase-associated lipocalin (NGAL) against other biomarkers like NT-proBNP.
• Training survival analysis models using the 60-month follow-up period and Kaplan-Meier outcomes.

Strengths

• Contains data for 294 patients, providing a specific cohort size.
• Includes a long-term follow-up period of 60 months for tracking mortality and MACE.
• Reports specific Area Under the Curve (AUC) values for biomarker predictive performance (e.g., AUC NAG 0.821 for mortality).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The 129.2 KB file size suggests a very limited scope of data.

Provenance

Source

figshare admin karger

Collection Method

Biomarker measurements and clinical follow-up from a cohort study at the university hospital Regensburg emergency department.

Time Range

Follow-up period of 60 months.

Freshness

Last updated 2026-05-25 07:55:09; freshness should be verified.

Geography

Patients presented at a single university hospital in Regensburg; geographic coverage is limited.