Clinical decision support system and incidence of delirium in cognitively impaired older adults transferred to intensive care.

BACKGROUND: Elderly patients with cognitive impairment are at increased risk of developing delirium, especially in the intensive care unit. OBJECTIVE: To evaluate the efficacy of a computer-based clinical decision support system that recommends consulting a geriatrician and discontinuing use of urinary catheters, physical restraints, and unnecessary anticholinergic drugs in reducing the incidence of delirium. METHODS: Data for a subgroup of patients enrolled in a large clinical trial who were transferred to the intensive care units of a tertiary-care, urban public hospital in Indianapolis were analyzed. Data were collected on frequency of orders for consultation with a geriatrician; discontinuation of urinary catheterization, physical restraints, or anticholinergic drugs; and the incidence of delirium. RESULTS: The sample consisted of 60 adults with cognitive impairment. Mean age was 74.6 years; 45% were African American, and 52% were women. No differences were detected between the intervention and the control groups in orders for consultation with a geriatrician (33% vs 40%; P = .79) or for discontinuation of urinary catheters (72% vs 76%; P = .99), physical restraints (12% vs 0%; P=.47), or anticholinergic drugs (67% vs 36%; P=.37). The 2 groups did not differ in the incidence of delirium (27% vs 29%; P = .85). CONCLUSION: Use of a computer-based clinical decision support system may not be effective in changing prescribing patterns or in decreasing the incidence of delirium.

Delirium in hospitalized patients: implications of current evidence on clinical practice and future avenues for research--a systematic evidence review.

BACKGROUND: Despite the significant burden of delirium among hospitalized adults, critical appraisal of systematic data on delirium diagnosis, pathophysiology, treatment, prevention, and outcomes is lacking. PURPOSE: To provide evidence-based recommendations for delirium care to practitioners, and identify gaps in delirium research. DATA SOURCES: Medline, PubMed, the Cochrane Library, and the Cumulative Index to Nursing and Allied Health Literature (CINAHL) information systems from January 1966 to April 2011. STUDY SELECTION: All published systematic evidence reviews (SERs) on delirium were evaluated. DATA EXTRACTION: Three reviewers independently extracted the data regarding delirium risk factors, diagnosis, prevention, treatment, and outcomes, and critically appraised each SER as good, fair, or poor using the United States Preventive Services Task Force criteria. DATA SYNTHESIS: Twenty-two SERs graded as good or fair provided the data. Age, cognitive impairment, depression, anticholinergic drugs, and lorazepam use were associated with an increased risk for developing delirium. The Confusion Assessment Method (CAM) is reliable for delirium diagnosis outside of the intensive care unit. Multicomponent nonpharmacological interventions are effective in reducing delirium incidence in elderly medical patients. Low-dose haloperidol has similar efficacy as atypical antipsychotics for treating delirium. Delirium is associated with poor outcomes independent of age, severity of illness, or dementia. CONCLUSION: Delirium is an acute, preventable medical condition with short- and long-term negative effects on a patient's cognitive and functional states.

Comparison and agreement between the Richmond Agitation-Sedation Scale and the Riker Sedation-Agitation Scale in evaluating patients' eligibility for delirium assessment in the ICU.

BACKGROUND: Delirium evaluation in patients in the ICU requires the use of an arousal/sedation assessment tool prior to assessing consciousness. The Richmond Agitation-Sedation Scale (RASS) and the Riker Sedation-Agitation Scale (SAS) are well-validated arousal/sedation tools. We sought to assess the concordance of RASS and SAS assessments in determining eligibility of patients in the ICU for delirium screening using the confusion assessment method for the ICU (CAM-ICU). METHODS: We performed a prospective cohort study in the adult medical, surgical, and progressive (step-down) ICUs of a tertiary care, university-affiliated, urban hospital in Indianapolis, Indiana. The cohort included 975 admissions to the ICU between January and October 2009. RESULTS: The outcome measures of interest were the correlation and agreement between RASS and SAS measurements. In 2,469 RASS and SAS paired screens, the rank correlation using the Spearman correlation coefficient was 0.91, and the agreement between the two screening tools for assessing CAM-ICU eligibility as estimated by the κ coefficient was 0.93. Analysis showed that 70.1% of screens were eligible for CAM-ICU assessment using RASS (7.1% sedated [RASS −3 to −1]; 62.6% calm [0]; and 0.4% restless, agitated [+1 to +3]), compared with 72.1% using SAS (5% sedated [SAS 3]; 66.5% calm [4]; and 0.6% anxious, agitated [5, 6]). In the mechanically ventilated subgroup, RASS identified 19.1% CAM-ICU eligible patients compared with 24.6% by SAS. The correlation coefficient in this subgroup was 0.70 and the agreement was 0.81. CONCLUSION: Both SAS and RASS led to similar rates of delirium assessment using the CAM-ICU.

Enhancing care for hospitalized older adults with cognitive impairment: a randomized controlled trial.

BACKGROUND: Approximately 40% of hospitalized older adults have cognitive impairment (CI) and are more prone to hospital-acquired complications. The Institute of Medicine suggests using health information technology to improve the overall safety and quality of the health care system. OBJECTIVE: Evaluate the efficacy of a clinical decision support system (CDSS) to improve the quality of care for hospitalized older adults with CI. DESIGN: A randomized controlled clinical trial. SETTING: A public hospital in Indianapolis. POPULATION: A total of 998 hospitalized older adults were screened for CI, and 424 patients (225 intervention, 199 control) with CI were enrolled in the trial with a mean age of 74.8, 59% African Americans, and 68% female. INTERVENTION: A CDSS alerts the physicians of the presence of CI, recommends early referral into a geriatric consult, and suggests discontinuation of the use of Foley catheterization, physical restraints, and anticholinergic drugs. MEASUREMENTS: Orders of a geriatric consult and discontinuation orders of Foley catheterization, physical restraints, or anticholinergic drugs. RESULTS: Using intent-to-treat analyses, there were no differences between the intervention and the control groups in geriatric consult orders (56% vs 49%, P = 0.21); discontinuation orders for Foley catheterization (61.7% vs 64.6%, P = 0.86); physical restraints (4.8% vs 0%, P = 0.86), or anticholinergic drugs (48.9% vs 31.2%, P = 0.11). CONCLUSION: A simple screening program for CI followed by a CDSS did not change physician prescribing behaviors or improve the process of care for hospitalized older adults with CI.

Biomarkers for delirium--a review.

To improve delirium recognition and care, numerous serum biomarkers have been investigated as potential tools for risk stratification, diagnosis, monitoring, and prognostication of delirium. The literature was reviewed, and no evidence was found to support the clinical use of any delirium biomarker, although certain biomarkers such as S-100 beta and insulin-like growth factor-1 and inflammatory markers have shown some promising results that need to be evaluated in future studies with appropriate sample size, prospective designs, and in a more-generalizable population.