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In the MIMIC database, ICD codes are used to identify patients with specific diagnoses. In the context of my research on building a predictive model for acute kidney injury (AKI) in sepsis patients during their ICU stay, it is crucial to clarify the timing of diagnosis, particularly with respect to ICU admission. Specifically, I need to determine whether the diagnosis of sepsis and AKI was made before, during, or after the patient was admitted to the intensive care unit.
Could you please advise on the best approach to ensure that: 1. Sepsis Diagnosis: How can I confirm that the sepsis diagnosis occurred at the time of ICU admission? 2. AKI Diagnosis: How can I ensure that AKI was diagnosed during the hospitalization in the ICU, after the patient’s ICU admission, rather than before the period leading up to the ICU stay? Any guidance or suggestions on how to best address these timing issues would be greatly appreciated, as they are critical for the accuracy of my predictive model.
Let me know if you'd like further revisions or additions!
The text was updated successfully, but these errors were encountered:
In the MIMIC database, ICD codes are used to identify patients with specific diagnoses. In the context of my research on building a predictive model for acute kidney injury (AKI) in sepsis patients during their ICU stay, it is crucial to clarify the timing of diagnosis, particularly with respect to ICU admission. Specifically, I need to determine whether the diagnosis of sepsis and AKI was made before, during, or after the patient was admitted to the intensive care unit.
Could you please advise on the best approach to ensure that: 1. Sepsis Diagnosis: How can I confirm that the sepsis diagnosis occurred at the time of ICU admission? 2. AKI Diagnosis: How can I ensure that AKI was diagnosed during the hospitalization in the ICU, after the patient’s ICU admission, rather than before the period leading up to the ICU stay? Any guidance or suggestions on how to best address these timing issues would be greatly appreciated, as they are critical for the accuracy of my predictive model.
Let me know if you'd like further revisions or additions!
The text was updated successfully, but these errors were encountered: