[Study of post-ICU mortality during 4 years (2006-2009). Analysis of the factors related to death in the ward after discharge from the ICU]

Factors associated with limitation of life support: Post-ICU mortality case study of a tertiary hospital

BACKGROUND

Life-sustaining treatment limitation (LSV) is the medical act of withdrawing or not initiating measures that are considered futile in a patient's specific situation. LSV in critically ill patients remains a difficult topic to study, due to the multitude of factors that condition it.

OBJECTIVE

To determine factors related to LSV in ICU in cases of post-ICU in-hospital mortality, as well as factors associated with survival after discharge from ICU.

DESIGN

Retrospective longitudinal study.

AMBIT

Intensive care unit of a tertiary hospital.

PATIENTS

People who died in the hospitalization ward after ICU treatment between January 2014 and December 2019.

INTERVENTIONS

None. This is an observational study.

VARIABLES OF INTEREST

Age, sex, probability of death, type of admission, LSV in ICU, oncological disease, dependence, invasive mechanical ventilation, emergency hemodialysis, transfusion of blood products, nosocomial infection (NI), pre-ICU, intra-ICU and post-ICU stays.

RESULTS

Of 114 patients who died outside the ICU, 49 had LSV registered in the ICU (42.98%). Age and stay prior to ICU admission were positively associated with LSV (OR 1,03 and 1,08, respectively). Patients without LSV had a higher post-ICU stay, while it was lower for male patients.

CONCLUSIONS

Our results support that LSV established within the ICU can avoid complications commonly associated with unnecessary prolongation of stay, such as NI.

Risk factors for readmission to ICU and analysis of intra-hospital mortality

INTRODUCTION

Critical patients, despite initial recovery in the intensive care unit (ICU), may require readmission to the ICU or even die in the same hospital episode. The objectives are to determine the incidence and to identify risk factors for ICU readmission, and to determine hospital mortality.

METHODS

Observational cohort study of all patients admitted consecutively for more than 24hours to the ICU of the University Hospital of Getafe between April 1, 2018 and September 30, 2018 and discharged alive from their first ICU admission.

RESULTS

Of the 164 patients alive at ICU discharge, 14 (8.5%) were readmitted to ICU (2.4% at≤48hours). The adjusted risk of ICU readmission was higher in patients with disabling neurological deficits prior to ICU admission [odds ratio (OR) 7.96, 95% confidence interval (CI) 1.55-40.92] or who received vasoactive drugs (OR 5.07, 95% CI 1.41-18.29) during their ICU stay. Readmitted patients had higher hospital mortality (4 of 14 [29%] versus 5 of 150 [3%], P<.001) and longer hospital stay (74.5 [37.5-99.75] days versus 16 [9-34] days, median [interquartile range], P=.001).

CONCLUSIONS

Patients with disabling neurological deficits prior to hospital admission or who received vasoactive drugs during their ICU stay have a higher risk of readmission to the ICU, which increases hospital stay and mortality.

Comparison of Unplanned Intensive Care Unit Readmission Scores: A Prospective Cohort Study

PURPOSE

Early discharge from the intensive care unit (ICU) may constitute a strategy of resource consumption optimization; however, unplanned readmission of hospitalized patients to an ICU is associated with a worse outcome. We aimed to compare the effectiveness of the Stability and Workload Index for Transfer score (SWIFT), Sequential Organ Failure Assessment score (SOFA) and simplified Therapeutic Intervention Scoring System (TISS-28) in predicting unplanned ICU readmission or unexpected death in the first 48 hours after discharge from the ICU.

METHODS

We conducted a prospective cohort study in a single tertiary hospital in southern Brazil. All adult patients admitted to the ICU for more than 24 hours from January 2008 to December 2009 were evaluated. SWIFT, SOFA and TISS-28 scores were calculated on the day of discharge from the ICU. A stepwise logistic regression was conducted to evaluate the effectiveness of these scores in predicting unplanned ICU readmission or unexpected death in the first 48 hours after discharge from the ICU. Moreover, we conducted a direct accuracy comparison among SWIFT, SOFA and TISS-28 scores.

RESULTS

A total of 1,277 patients were discharged from the ICU during the study period. The rate of unplanned ICU readmission or unexpected death in the first 48 hours after discharge from the ICU was 15% (192 patients). In the multivariate analysis, age (P = 0.001), length of ICU stay (P = 0.01), cirrhosis (P = 0.03), SWIFT (P = 0.001), SOFA (P = 0.01) and TISS-28 (P<0.001) constituted predictors of unplanned ICU readmission or unexpected death. The SWIFT, SOFA and TISS-28 scores showed similar predictive accuracy (AUC valueswere 0.66, 0.65 and 0.67, respectively; P = 0.58) [corrected].

CONCLUSIONS

SWIFT, SOFA and TISS-28 on the day of discharge from the ICU have only moderate accuracy in predicting ICU readmission or death. The present study did not find any differences in accuracy among the three scores.