Inquiry on Calculating Different Types of Death and Out of Range Entries in ricu Package

[hbmania]

I hope this message finds you well. I am currently utilizing the ricu package from GitHub to analyze clinical data, and I have encountered a couple of points where I seek your expert guidance.

1. Differentiating Types of Death:
   I am particularly interested in distinguishing between different types of death outcomes using the death variable. Specifically, I would like to categorize and calculate the following:

ICU Death: Patients who passed away during their ICU stay.
In-Hospital Death: Patients who passed away in the hospital but not necessarily within the ICU.
Post-Discharge Death: Patients who passed away within 30 days after being discharged from the hospital.
Could you please provide guidance or recommend a methodology on how I can compute these distinct outcomes using the available data in ricu? Are there specific fields or transformations that I should consider for accurate categorization?

2. Understanding "Out of Range Entries":
   After downloading data using the load_concepts function, I noticed that the output includes warnings about "out of range entries," as illustrated in the attached image.

For example:

po2: Removed rows due to NA values and out of range entries.
fio2: Removed rows due to NA values and out of range entries.
plt: Removed rows due to NA values and out of range entries.
I am keen to understand the criteria or standards used to determine these out-of-range entries. Could you please elaborate on the methods or thresholds applied to classify data as out of range? Is there a way to access or customize these criteria?

Thank you very much for your assistance. Your insights will be highly valuable for my research, and I appreciate any documentation or resources you can provide to help clarify these aspects.

Best regards,