Mortality Determinants After Amputation Surgery in a Brazilian Hospital

A case-control study of 173 patients who underwent amputation surgery at a public hospital in Santa Catarina, Brazil. Data was analyzed using data mining to discover association rules and epidemiologic metrics for postoperative mortality. The study was authored by Gabrielle dos Santos Leandro and is available via Open Access.

Use Cases

• Predicting mortality risk based on patient age, sex, and comorbidities like hypertension and diabetes mentioned in the description.
• Identifying high-risk patient profiles for targeted interventions based on factors like peripheral vascular disease and type of anesthesia.
• Analyzing associations between surgical factors (e.g., proximal vs. distal surgery) and patient outcomes.
• Training models to assess the relative risk of conditions like heart disease or renal disease on postoperative survival.

Strengths

• Includes specific odds ratios and risk metrics for key determinants like age >60 years (OR=3.0) and hypertension (OR=3.0).
• Provides detailed survival statistics for specific age groups, such as 87.9% survival for patients aged 60-69 years.
• Identifies concrete exception factors for mortality, such as peripheral vascular disease in patients aged 60-69 and embolism/thrombosis in patients over 70.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect geographic bias inherent to a single public hospital in Brazil.

Provenance

Source

Gabrielle dos Santos Leandro via paperswithcode

Collection Method

Case-control study using data from patient records, analyzed with a data mining approach.

Geography

Santa Catarina state, Brazil