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View Code? Open in Web Editor NEW📈 Evaluation of the Predictive value of short-term Oliguria and minor Creatinine increases for Acute Kidney Injury in ICU
License: GNU General Public License v3.0
📈 Evaluation of the Predictive value of short-term Oliguria and minor Creatinine increases for Acute Kidney Injury in ICU
License: GNU General Public License v3.0
True and false positive rates
Another approach to assessing value is to calculate the change in true and false positive rates at a clinical relevant risk threshold…which here could be 15% and/or 20%
cr_change
AUC 95% CI
All AUCs have 95% Cis and we should show that the Cis of this model and of the one below do not overlap with the clinical model in isolation.
cr_change
Net Reclassification Index
We should consider the net reclassification index (NRI)
Brier Score
Consider calculating the Brier score. The Brier Score is a strictly proper score function or strictly proper scoring rule that measures the accuracy of probabilistic predictions.
Need to analyse AKI stage 2 and 3 and rerun all analysis
For captions and variables within a figure, use Helvetica (or Arial) font, if possible, in upper and lower case letters.
https://journals.lww.com/ccmjournal/Documents/CCM_Info_for_Auths.pdf
How can I access the data source? Sincerely.
Maximum of 8 total
Running with and without a filter for Excl_criteria_ok results in differing values
filter(Excl_criteria_ok == 1) %>% # TODO If no filter, there is an 'extra' one
select(`UR number`, starts_with("Total_no_")) %>%
mutate(
Total_no_cr_epis = if_else(
is.na(Total_no_cr_epis), " 0 cr epis", sprintf("%2d cr epis", Total_no_cr_epis)),
Total_no_olig_epis = if_else(
is.na(Total_no_olig_epis), " 0 olig epis", sprintf("%2d olig epis", Total_no_olig_epis)),
) %>%
group_by(Total_no_cr_epis, Total_no_olig_epis) %>%
summarise(
Admissions = n(),
) %>%
ungroup() %>%
pivot_wider(names_from = Total_no_olig_epis, values_from = Admissions) %>%
adorn_totals(c("row", "col")) %>%
03_screening_log
mutate(
Total_rows = n(),
duplicates = Total_admissions != Total_rows,
Event = if_else(is.na(Pt_Study_no_olig), 0, 1),
Event = if_else(is.na(Pt_Study_no_crch), 0, 2) + Event
) %>%
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