Frailty in the prediction of delirium in the intensive care unit: A secondary analysis of the Deli study.

BACKGROUND: Delirium is an acute disorder of attention and cognition with an incidence of up to 70% in the adult intensive care setting. Due to the association with significantly increased morbidity and mortality, it is important to identify who is at the greatest risk of an acute episode of delirium while being cared for in the intensive care. The objective of this study was to determine the ability of the cumulative deficit frailty index and clinical frailty scale to predict an acute episode of delirium among adults admitted to the intensive care. METHODS: This study is a secondary analysis of the Deli intervention study, a hybrid stepped-wedge cluster randomized controlled trial to assess the effectiveness of a nurse-led intervention to reduce the incidence and duration of delirium among adults admitted to the four adult intensive care units in the south-west of Sydney, Australia. Important predictors of delirium were identified using a bootstrap approach and the absolute risks, based on the cumulative deficit frailty index and the clinical frailty scale are presented. RESULTS: During the 10-mth data collection period (May 2019 and February 2020) 2566 patients were included in the study. Both the cumulative deficit frailty index and the clinical frailty scale on admission, plus age, sex, and APACHE III (AP III) score were able to discriminate between patients who did and did not experience an acute episode of delirium while in the intensive care, with AUC of 0.701 and 0.703 (moderate discriminatory ability), respectively. The addition of a frailty index to a prediction model based on age, sex, and APACHE III score, resulted in net reclassified of risk. Nomograms to individualize the absolute risk of delirium using these predictors are also presented. CONCLUSION: We have been able to show that both the cumulative deficits frailty index and clinical frailty scale predict an acute episode of delirium among adults admitted to intensive care.

Delirium in intensive care: A stepped-wedge cluster randomised controlled trial for a nurse-led intervention to reduce the incidence and duration of delirium among adults admitted to the intensive care unit (protocol).

BACKGROUND: Delirium is an acute disorder of attention and cognition with the highest rates among adults receiving intensive care. An acute episode of delirium is associated with morbidity and mortality, as well as a significant psychological sequela. Importantly, an increasing body of evidence supports the benefit of nonpharmacological, nurse-led interventions to reduce the incidence and duration of delirium among adults cared for in the intensive care unit (ICU). OBJECTIVES: This study will evaluate the impact of a nursing-led delirium prevention protocol that is aimed at reducing the incidence and duration of delirium among adults admitted to the ICU. The delirium prevention nursing protocol specifically targets risk factors for delirium. STUDY PLAN: A stepped-wedge cluster randomised controlled trial approach will be used to assess the effectiveness of the nurse-led intervention, in four adult ICUs across the South Western Sydney Local Health District (SWS-LHD), over a 12-month period. The primary outcomes of interest are (i) the incidence of delirium before and after the implementation of the nurse-led intervention and (ii) the number of delirium-free days during an ICU stay, before and after the implementation of the nurse-led intervention. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry (ANZCTR): (ACTRN12618000411246p).

Severity of illness and risk of readmission to intensive care: a meta-analysis.

BACKGROUND: Almost one in every 10 patients who survive intensive care will be readmitted to the intensive care unit (ICU) during the same hospitalisation. The association between increasing severity of illness (widely calculated in ICU patients) with risk of readmission to ICU has not been systematically summarized. OBJECTIVE: The meta-analysis was designed to combine information from published studies to assess the relationship between severity of illness in ICU patients and the risk of readmission to ICU during the same hospitalisation. DATA SOURCES: Studies were identified by searching MEDLINE (1966 to August 2008), EMBASE (1980-2008), and CINAHL (1982 to August 2008). REVIEW METHODS: Studies included only adult populations, readmissions to ICU during the same hospitalisation and reports of valid severity of illness index. RESULTS: Eleven studies (totaling 220000 patients) were included in the meta-analysis. Severity of illness (APACHE II, APACHE III, SAPS and SAPS II) measured at the time of ICU admission or discharge, was higher in patients readmitted to the ICU during the same hospitalisation compared to patients not-readmitted (both p-values<0.001). The risk of readmission to ICU increased by 43% with each standard deviation increase in severity of illness score (regardless if measured on admission to, or discharge from the ICU) (odds ratio (OR)=1.43, 95% confidence interval (CI)=1.3-1.6). CONCLUSIONS: A relationship between increasing intensive care severity of illness and risk of readmission to ICU was found. The effect was the same regardless of the time of measurement of severity of illness (at admission to ICU or the time of discharge from ICU). However, further research is required to develop more comprehensive tools to identify patients at risk of readmission to ICU to allow the targeted interventions, such as ICU-outreach to follow-up these patients to minimize adverse events.

Unplanned admission to intensive care after emergency hospitalisation: risk factors and development of a nomogram for individualising risk.

BACKGROUND AND AIMS: Unplanned admission to an intensive care unit (ICU) is associated with high mortality, having the highest incidence among patients who are emergency admissions to the hospital. This study was designed to identify factors associated with unplanned ICU admission in emergency admissions to hospital and develop an absolute risk tool to individualise the risk of an event during a hospital stay. METHODS: Emergency department (ED) and in-patient hospital data from a large teaching hospital of consecutive admissions from 1 January 1997 to 31 December 2007 aged over 14 years was included in this study. Patient data extracted from 126826 emergency presentations admitted as in-patients consisted of demographic and clinical variables. RESULTS: During an 11-year period 1582 incident unplanned ICU admissions occurred. Predictors of unplanned ICU admission included older age, being male, having a higher acuity triage category and a history of co-morbid conditions. Emergency department diagnostic groups associated with higher incidence of unplanned ICU admission included: sepsis, acute renal failure, lymphatic-hematopoietic tissue neoplasms, pneumonia, chronic-airways disease and bowel obstruction. The final model used to develop the nomogram had an ROC curve AUC of 0.7. CONCLUSION: This study identified factors associated with unplanned ICU admission and developed a nomogram to individualise risk prior to a patient being transferred from the ED. This nomogram provides clinicians the opportunity prior to transfer from the ED, to either (1) review the appropriateness of the ward level of planned transfer or (2) flag patients for follow-up on the general ward to assess for deterioration.