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.
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?
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.
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.
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?
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,