The limitations associated with distinguishing serum Fe and Fe hinder the widespread application of ferroptosis, beyond laboratory settings. Here, we present a protocol for deep mining the correlation between acute pancreatitis and ferroptosis using the MIMIC-III database and STATA software. We describe steps for using Cox regression, decision curve analysis (DCA), and receiver operating characteristic (ROC) approaches to establish the relationship between them and determine the relevant factors. This protocol has potential application in establishing novel research models that integrate both fundamental and clinical methodologies. For complete details on the use and execution of this protocol, please refer to Yueling Deng et al..
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11145385 | PMC |
| http://dx.doi.org/10.1016/j.xpro.2024.103073 | DOI Listing |
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