Optimized diagnosis-based comorbidity measures for all-cause mortality prediction in a national population-based ICU population.

ABSTRACT:

Background

We aimed to optimize prediction of long-term all-cause mortality of intensive care unit (ICU) patients, using quantitative register-based comorbidity information assessed from hospital discharge diagnoses prior to intensive care treatment.

Material and methods

Adult ICU admissions during 2006 to 2012 in the Swedish intensive care register were followed for at least 4 years. The performance of quantitative comorbidity measures based on the 5-year history of number of hospital admissions, length of stay, and time since latest admission in 36 comorbidity categories was compared in time-to-event analyses with the Charlson comorbidity index (CCI) and the Simplified Acute Physiology Score (SAPS3).

Results

During a 7-year period, there were 230,056 ICU admissions

SUBMITTER: Aronsson Dannewitz A 

PROVIDER: S-EPMC9535950 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature