Predictive Factors for Mortality in Acute Mesenteric Ischemia, 235 Patients

A retrospective analysis of 235 patients hospitalized for acute mesenteric ischemia (AMI) from January 2013 to October 2025. The dataset, authored by Yu Chen and shared under a CC-BY-4.0 license, was used to identify risk factors for in-hospital mortality and develop a predictive nomogram. It contains clinical data on patient outcomes and treatment measures.

Use Cases

• Developing mortality risk prediction models based on identified factors like age, heart failure, and white blood cell count.
• Validating clinical nomograms for early patient stratification using the reported discrimination and calibration metrics.
• Analyzing the association between specific treatments (e.g., anticoagulation therapy, vasopressor use) and patient outcomes.
• Conducting subgroup analysis to test model stability across different patient demographics.

Strengths

• Dataset includes 235 patient records with a defined mortality rate of 18.7% (44 deaths).
• Model performance is quantitatively reported with an area under the curve of 0.849 and internal validation via Bootstrap.
• Analysis incorporates both pretreatment risk factors and early clinical characteristics and treatments.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown for the underlying data file, which may limit suitability assessment.
• Geographic and institutional origin of the patient data is not specified, which may reflect source bias.

Provenance

Source

Yu Chen, via figshare.

Collection Method

Retrospective analysis of clinical data from hospitalized patients.

Time Range

January 2013 to October 2025.

Freshness

Last updated 2026-04-10 05:57:46; freshness should be verified.

Geography

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