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rdw-and-sepsis

Association Between Red Cell Distribution Width and Hospital Mortality in Patients with Sepsis DOI: 10.1177/03000605211004221

They were my code for the extraction data in eICU-CRD database and statistical analysis in R. It was also my first project so the code maybe a little disorder. I learned a lot in this writing, and I will improve it next time. Thanks for Alistair Johnson(@mit-lcp). Follow these steps.

1. Request access to the eICU Collaborative Research Database(https://eicu-crd.mit.edu/gettingstarted/access/), download the database to your computer and install it.(Follow the instruction of https://github.com/MIT-LCP/eicu-code/tree/master/build-db/postgres)

2. run the sql code in the eicu github respiratory:(https://github.com/mit-lcp/eicu-code)

\i ../eicu-code/concepts/pivoted/pivoted-bg.sql

\i ../eicu-code/concepts/pivoted/pivoted-infusion.sql

\i ../eicu-code/concepts/pivoted/pivoted-lab.sql

\i ../eicu-code/concepts/pivoted/pivoted-med.sql

\i ../eicu-code/concepts/pivoted/pivoted-o2.sql

\i ../eicu-code/concepts/pivoted/pivoted-score.sql

\i ../eicu-code/concepts/pivoted/pivoted-treatment-vasopressor.sql

\i ../eicu-code/concepts/pivoted/pivoted-uo.sql

\i ../eicu-code/concepts/pivoted/pivoted-vital-other.sql

\i ../eicu-code/concepts/pivoted/pivoted-vital.sql

\i ../eicu-code/concepts/neuroblock.sql

3.run the cohort sql code(https://github.com/alistairewj/mechanical-power/blob/master/eicu/cohort.sql)

4.run the first_firstlabs.sql to get the first lab results in the patients' ICU admissions.

5.run the first_firstvitals.sql to get the first vital signs recorded after the ICU admissions.

6.run the select_cohort.sql to get the cohort fufilled the criteria.

7.then you get the cohort data file, I name it by 'sepsis.csv'

8.statistic analyze it with R.R in R software(I used 3.6.1)

Finish

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