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Protocol for deep mining the correlation between acute pancreatitis and ferroptosis using the MIMIC-III database and
Yueling Deng1, Tao Jiang1, Sujie Zhang1
1Health Management Center, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
STAR Protocols
|May 23, 2024
Summary
This study introduces a new protocol to analyze the link between acute pancreatitis and ferroptosis using medical data. It aims to improve understanding and research models for ferroptosis applications.
Area of Science:
- Biomedical research
- Clinical data analysis
- Cellular mechanisms
Background:
- Distinguishing Fe2+ and Fe3+ in serum is a challenge for ferroptosis application.
- Ferroptosis is a regulated cell death pathway with potential clinical relevance.
- Acute pancreatitis is a condition where ferroptosis may play a role.
Purpose of the Study:
- To develop a protocol for investigating the correlation between acute pancreatitis and ferroptosis.
- To utilize the MIMIC-III database and STATA for in-depth data analysis.
- To establish a novel research model integrating fundamental and clinical methodologies.
Main Methods:
- Data mining of the MIMIC-III database.
- Statistical analysis using STATA software.
- Application of Cox regression, decision curve analysis (DCA), and receiver operating characteristic (ROC) curves.
Main Results:
- The protocol enables deep mining of the correlation between acute pancreatitis and ferroptosis.
- Relevant factors influencing this relationship can be identified.
- The methodology provides a framework for establishing novel research models.
Conclusions:
- This protocol offers a robust method for studying ferroptosis in the context of acute pancreatitis.
- It facilitates the integration of clinical data with fundamental research.
- The approach has potential for advancing ferroptosis research beyond laboratory settings.
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Pancreatitis is inflammation of the pancreas, an organ located behind the stomach. It can be either acute or chronic.
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The causes of acute pancreatitis include:
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Assessment:
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