Association between preoperative anxiety and postoperative delirium in older patients: a systematic review and meta-analysis.

BACKGROUND: Postoperative delirium (POD) is a common postoperative complication associated with multiple adverse consequences on patient outcomes and higher medical expenses. Preoperative anxiety has been suggested as a possible precipitating factor for the development of POD. As such, we aimed to explore the association between preoperative anxiety and POD in older surgical patients. METHODS: Electronic databases including MEDLINE (via PubMed), EMBASE (via Embase.com), Web of Science Core Collection, Cumulative Index to Nursing and Allied Health Literature (CINAHL Complete; via EBSCOhost) and clinical trial registries were systematically searched to identify prospective studies examining preoperative anxiety as a risk factor for POD in older surgical patients. We used Joanna Briggs Institute Critical Appraisal Checklist for Cohort Studies to assess the quality of included studies. The association between preoperative anxiety and POD was summarized with odds ratios (ORs) and 95% confidence intervals (CIs) using DerSimonian-Laird random-effects meta-analysis. RESULTS: Eleven studies were included (1691 participants; mean age ranging between 63.1-82.3 years). Five studies used a theoretical definition for preoperative anxiety, with the Anxiety subscale of Hospital Anxiety and Depression Scale (HADS-A) as the instrument being most often used. When using dichotomized measures and within the HADS-A subgroup analysis, preoperative anxiety was significantly associated with POD (OR = 2.17, 95%CI: 1.01-4.68, I2 = 54%, Tau2 = 0.4, n = 5; OR = 3.23, 95%CI: 1.70-6.13, I2 = 0, Tau2 = 0, n = 4; respectively). No association was observed when using continuous measurements (OR = 0.99, 95%CI: 0.93-1.05, I2 = 0, Tau2 = 0, n = 4), nor in the subgroup analysis of STAI-6 (six-item version of state scale of Spielberger State-Trait Anxiety Inventory, OR = 1.07, 95%CI: 0.93-1.24, I2 = 0, Tau2 = 0, n = 2). We found the overall quality of included studies to be moderate to good. CONCLUSIONS: An unclear association between preoperative anxiety and POD in older surgical patients was found in our study. Given the ambiguity in conceptualization and measurement instruments used for preoperative anxiety, more research is warranted in which a greater emphasis should be placed on how preoperative anxiety is operationalized and measured.

Delirium Item Bank: Utilization to Evaluate and Create Delirium Instruments.

INTRODUCTION: The large number of heterogeneous instruments in active use for identification of delirium prevents direct comparison of studies and the ability to combine results. In a recent systematic review we performed, we recommended four commonly used and well-validated instruments and subsequently harmonized them using advanced psychometric methods to develop an item bank, the Delirium Item Bank (DEL-IB). The goal of the present study was to find optimal cut-points on four existing instruments and to demonstrate use of the DEL-IB to create new instruments. METHODS: We used a secondary analysis and simulation study based on data from three previous studies of hospitalized older adults (age 65+ years) in the USA, Ireland, and Belgium. The combined dataset included 600 participants, contributing 1,623 delirium assessments, and an overall incidence of delirium of about 22%. The measurements included the Diagnostic and Statistical Manual of Mental Disorders, 5th Edition diagnostic criteria for delirium, Confusion Assessment Method (long form and short form), Delirium Observation Screening Scale, Delirium Rating Scale-Revised-98 (total and severity scores), and Memorial Delirium Assessment Scale (MDAS). RESULTS: We identified different cut-points for each existing instrument to optimize sensitivity or specificity, and compared instrument performance at each cut-point to the author-defined cut-point. For instance, the cut-point on the MDAS that maximizes both sensitivity and specificity was at a sum score of 6 yielding 89% sensitivity and 79% specificity. We then created four new example instruments (two short forms and two long forms) and evaluated their performance characteristics. In the first example short form instrument, the cut-point that maximizes sensitivity and specificity was at a sum score of 3 yielding 90% sensitivity, 81% specificity, 30% positive predictive value, and 99% negative predictive value. DISCUSSION/CONCLUSION: We used the DEL-IB to better understand the psychometric performance of widely used delirium identification instruments and scorings, and also demonstrated its use to create new instruments. Ultimately, we hope that the DEL-IB might be used to create optimized delirium identification instruments and to spur the development of a unified approach to identify delirium.

Harmonization of Four Delirium Instruments: Creating Crosswalks and the Delirium Item-Bank (DEL-IB).

OBJECTIVES: Over 30 instruments are in current, active use for delirium identification. In a recent systematic review, we recommended 4 commonly used and well-validated instruments for clinical and research use. The goal of this study is to harmonize the four instruments on the same metric using modern methods in psychometrics. DESIGN: Secondary data analysis from 3 studies, and a simulation study based on the observed data. SETTING: Hospitalized (non-ICU) adults over 65 years old in the United States, Ireland, and Belgium. PARTICIPANTS: The total sample comprised 600 participants, contributing 1,623 assessments. MEASUREMENTS: Confusion Assessment Method (long-form and short-form), Delirium Observation Screening Scale, Delirium Rating Scale-Revised-98 (DRS-R-98) (total and severity scores), and Memorial Delirium Assessment Scale. RESULTS: Using item response theory, we linked scores across instruments, placing all four instruments and their separate scorings on the same metric (the propensity to delirium). Kappa statistics comparing agreement in delirium identification among the instruments ranged from 0.37 to 0.75, with the highest agreement between the DRS-R-98 total score and MDAS. After linking scores, we created a harmonized item bank, called the Delirium Item Bank (DEL-IB), consisting of 50 items. The DEL-IB allowed us to create six crosswalks, to allow scores to be translated across instruments. CONCLUSIONS: With our results, individual instrument scores can be directly compared to aid in clinical decision-making, and quantitatively combined in meta-analyses.

Is preoperative anxiety associated with postoperative delirium in older persons undergoing cardiac surgery? Secondary data analysis of a randomized controlled trial.

BACKGROUND: Although many studies have reported numerous risk factors for postoperative delirium, data are scarce about preoperative anxiety as a risk factor. The study aimed to investigate the association between preoperative anxiety and postoperative delirium in older patients undergoing cardiac surgery. METHODS: Secondary data analysis of a randomized, observer-blind, controlled trial. A total of 190 patients 65 years or older and admitted to the intensive care unit and cardiac surgery unit of a university hospital scheduled for elective on-pump cardiac surgery were included. State anxiety was measured preoperatively using the Amsterdam Preoperative Anxiety and Information Scale and the Visual Analogue Scale for anxiety. Incidence of delirium was measured during the first 5 postoperative days using the Confusion Assessment Method for Intensive Care Unit (when ventilated), or the 3 Minute Diagnostic Interview for Confusion Assessment Method (when extubated) and by daily chart review. RESULTS: Preoperative state anxiety was reported by 31% of the patients and 41% had postoperative delirium. A multiple step logistic regression analyses revealed no association between preoperative anxiety and postoperative delirium. Significant risk factors for postoperative delirium were age (OR = 1.10, 95% CI (1.03-1.18)), activities of daily living (0.69, 95% CI (0.50-0.96)), diabetes mellitus (OR = 3.15, 95% CI (1.42-7.00)) and time on cardiopulmonary bypass (OR = 1.01, 95% CI (1.00 to 1.02)). CONCLUSIONS: No relationship could be found between preoperative anxiety and postoperative delirium.

Psychometric properties of the intensive care delirium screening checklist when used by bedside nurses in clinical practice: a prospective descriptive study.

BACKGROUND: The Intensive Care Delirium Screening Checklist (ICDSC) demonstrates good psychometric characteristics in research settings. However, evidence about these characteristics in pragmatic ICU settings is inconsistent. This study evaluated psychometric properties and user-friendliness of the ICDSC when administered by ICU nurses in daily practice. METHODS: This prospective study included 77 patients from a surgical intensive care unit. To examine the psychometric characteristics, the scores on the ICDSC (performed by bedside nurses) were compared with the scores on the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU) (performed by researchers as gold standard). The user-friendliness was evaluated by 34 ICU nurses with a 20-item questionnaire. RESULTS: The ICDSC had an area under the curve of 0.843. It showed a good diagnostic accuracy with a sensitivity of 81.0%, a specificity of 87.7%, and a 53.1% positive and 96.4% negative predictive value. The overall Cronbach's alpha coefficient for all ICDSC scores was high (0.839). Overall, ICU nurses experienced the ICDSC as easy-to-use. The scale was usable in most surgical ICU patients. Yet, some nurses (11.8%) had problems to score the items 'inappropriate speech' and 'symptom fluctuation' in intubated patients. CONCLUSIONS: The ICDSC is a valid and user-friendly tool for delirium screening in daily ICU nursing practice. Yet, some problems were reported in intubated patients. Therefore, validation studies with specific focus on intubated patients are needed.

Developing delirium best practice: a systematic review of education interventions for healthcare professionals working in inpatient settings.

PURPOSE: Understanding the quality of evidence of delirium education studies will assist in designing future education interventions that seek to improve the well-known deficits in delirium prevention, detection and care. The aim of this study is to systematically review the methodological strengths and limitations, as well as the impact of delirium educational interventions for healthcare professionals working in inpatient settings. METHODS: MEDLINE, EMBASE, The Cochrane Library, PsychINFO and CINAHL databases were searched according to PRISMA guidelines for delirium educational interventions in hospital inpatient settings from 2007 to 2017. Identified studies were rated using a standardised quality assessment criteria checklist (Kmet). Reported outcomes were organised by level on the Kirkpatrick model for educational outcomes. The search was repeated in March 2018. RESULTS: 1354 papers were screened, of which 42 studies met the inclusion criteria. Interventions delivered included face-to-face education (n = 34), e-learning (n = 8) and interprofessional education (n = 8). Quality of studies varied in Kmet score (14-96%). There were 17 high-quality studies (Kmet > 80%) and 4 very high-quality studies (Kmet over > 90%). Thirty-eight studies (90%) reported improved outcomes post-intervention. In terms of Kirkpatrick level of educational outcomes, 6 studies were rated at level 1; 13 studies at level 2; 15 studies at level 3; and 8 studies at level 4. Thirteen studies measured intervention sustainability with variable impacts. CONCLUSIONS: Healthcare professional education has benefits for inpatient delirium care, as shown by the high number of good-quality studies and the majority demonstrating improved outcomes post-intervention. The sustainability of educational interventions warrants further exploration.

Effect of an interactive E-learning tool for delirium on patient and nursing outcomes in a geriatric hospital setting: findings of a before-after study.

BACKGROUND: Education of healthcare workers is a core element of multicomponent delirium strategies to improve delirium care and, consequently, patient outcomes. However, traditional educational strategies are notoriously difficult to implement. E-learning is hypothesised to be easier and more cost effective, but research evaluating effectiveness of delirium education through e-learning is scarce at present. Aim is to determine the effect of a nursing e-learning tool for delirium on: (1) in-hospital prevalence, duration and severity of delirium or mortality in hospitalized geriatric patients, and (2) geriatric nurses' knowledge and recognition regarding delirium. METHODS: A before-after study in a sample of patients enrolled pre-intervention (non-intervention cohort (NIC); n = 81) and post-intervention (intervention cohort (IC); n = 79), and nurses (n = 17) of a geriatric ward (university hospital). The intervention included an information session about using the e-learning tool, which consisted of 11 e-modules incorporating development of knowledge and skills in the prevention, detection and management of delirium, and the completion of a delirium e-learning tool during a three-month period. Key patient outcomes included in-hospital prevalence and duration of delirium (Confusion Assessment Method), delirium severity (Delirium Index) and mortality (in-hospital; 12 months post-admission); key nurse outcomes included delirium knowledge (Delirium Knowledge Questionnaire) and recognition (Case vignettes). Logistic regression and linear mixed models were used to analyse patient data; Wilcoxon Signed Rank tests, McNemar's or paired t-tests for nursing data. RESULTS: No significant difference was found between the IC and NIC for in-hospital prevalence (21.5% versus 25.9%; p = 0.51) and duration of delirium (mean 4.2 ± SD 4.8 days versus 4.9 ± SD 4.8 days; p = 0.38). A trend towards a statistically significant lower delirium severity (IC versus NIC: difference estimate - 1.59; p = 0.08) was noted for delirious IC patients in a linear mixed model. No effect on patient mortality and on nurses' delirium knowledge (p = 0.43) and recognition (p = 1.0) was found. CONCLUSION: Our study, the first in its area to investigate effects of delirium e-learning on patient outcomes, demonstrated no benefits on both geriatric patients and nurses. Further research is needed to determine whether delirium e-learning nested within a larger educational approach inclusive of enabling and reinforcing strategies, would be effective. TRIAL REGISTRATION: ISRCTN ( 82,293,702 , 27/06/2017).

Effect of anaemia on hand grip strength, walking speed, functionality and 1 year mortality in older hospitalized patients.

BACKGROUND: Anaemia is a common problem in hospitalized older patients and is recognized as a risk factor for a significant number of adverse outcomes. Data of the effect of anaemia on functional status during hospitalization and mortality after discharge are limited. Aim of the study is to examine whether there is an association between anaemia, hand grip strength, gait speed and basic activities of daily living (ADL) during hospitalization and mortality 1 year after discharge in geriatric patients. METHODS: In a prospective study, data on age, sex, body mass index, Mini-Mental State Examination (MMSE), main clinical diagnosis, number of comorbidities, hand grip strength, gait speed, ADL, haemoglobin, C-reactive protein and estimated Glomerular filtration ratio (eGFR) were recorded in 220 older patients, admitted to the acute geriatric ward of a university hospital. Anaemia was defined as a haemoglobin level <13 g/dL for men and <12 g/dL for women and was further specified into severe (haemoglobin level <10 g/dL for both men and women) and moderate anaemia (haemoglobin between 10 and 12 g/dL for women and 10 and 13 g/dL for men). Gait speed (in meters per second) was calculated after a 4.5 m walk and hand grip strength (in kilogram) was assessed with a hydraulic hand dynamometer. Functionality was assessed in the six basic activities of daily living. Information about the vital status was obtained 1 year after discharge with a telephone call. Analysis of covariance (ANCOVA) was used to examine the effect of the anaemia status on the walking speed, hand grip strength and premorbid ADL index and logistic regression analysis was used to examine whether anaemia could be identified as risk factors for mortality 12 months after discharge. RESULTS: Overall, 106 (48 %) patients had anaemia. Hand-grip strength, gait speed and ADL score were not significantly different between anaemic and non-anaemic hospitalized geriatric patients. After adjustment for age, sex, body mass index, eGFR, MMSE, number of comorbidities and main clinical diagnosis, the means for hand-grip strength were 17.3, 19.9 and 19.1 kg (p = 0.38); for gait speed 0.57, 0.52 and 0.47 m/s (p = 0.28); and for the ADL score 3.50, 3.05 and 3.30 (p = 0.75) in patients with severe, moderate and without anaemia, respectively. In the unadjusted model, the odds ratio for mortality 1 year after discharge was 2.72 (95 % CI 1.20-6.14) and 4.70 (95 % CI 1.91-11.77) for moderate and severe anaemia, respectively, with no anaemia as the reference group. After adjustment for several confounders, a haemoglobin level less than 10 g/dl (OR 3.87; 95 % CI 1.25-11.99) remained significantly associated with an increased mortality over that 1 year period. CONCLUSION: Our results do not support that anaemia on admission is associated with a decline in physical performance (hand grip strength and gait speed) and functionality (ADL) during hospitalization in older patients. However, severe anaemia is a significant risk factor for an increased mortality over a 1 year period after discharge.

Evaluation of the delirium early monitoring system (DEMS).

BACKGROUND: Despite awareness of the negative health and financial outcomes of delirium, systems to routinely assess and manage the condition are absent in clinical practice. We report the development and pilot evaluation of a Delirium Early Monitoring System (DEMS), designed to be completed by non-medical staff to influence clinical processes within inpatient settings. Two versions of the DEMS are described based on a modified Confusion Assessment Method (DEMS-CAM) and Delirium Observation Screening Scale (DEMS-DOSS). METHODS: Both versions of DEMS were piloted on a 20-bedded Psychogeriatric ward over 6 weeks. Training was administered to ward staff on the use of each version of the DEMS and data were collected via electronic medical records and completed assessment sheets. The primary outcome was patterns of DEMS use and the secondary outcome was the initiation of delirium management protocols. Data regarding the use of the DEMS DOSS and DEMS CAMS were analyzed using χ 2 tests. RESULTS: Completion rates for the DEMS CAM and DEMS DOSS were 79% and 68%, respectively. Non-medical staff were significantly more likely to use the DEMS-CAM as part of daily practice as opposed to the DEMS-DOSS (p<0.001). However, there was no difference between the use of the DEMS-CAM and DEMS-DOSS in triggering related actions such as documentation of assessment scores in patients' medical records and implementation of delirium management protocols. CONCLUSIONS: This real world evaluation revealed that non-medical staff were able to incorporate delirium monitoring into their practice, on the majority of occasions, as part of their daily working routine. Further research is necessary to determine if the routine use of the DEMS can lead to improved understandings and practice of non-medical staff regarding delirium detection.

The effect of an interactive delirium e-learning tool on healthcare workers' delirium recognition, knowledge and strain in caring for delirious patients: a pilot pre-test/post-test study.

BACKGROUND: Studies investigating the effectiveness of delirium e-learning tools in clinical practice are scarce. The aim of this study is to determine the effect of a delirium e-learning tool on healthcare workers' delirium recognition, delirium knowledge and care strain in delirium. METHODS: A pilot pre-posttest study in a convenience sample of 59 healthcare workers recruited from medical, surgical, geronto-psychiatric and rehabilitation units of a university hospital. The intervention consisted of a live information session on how to use the e-learning tool and, a 2-month self-active learning program. The tool included 11 e-modules integrating knowledge and skill development in prevention, detection and management of delirium. Case vignettes, the Delirium Knowledge Questionnaire, and the Strain of Care for Delirium Index were used to measure delirium recognition, delirium knowledge and experienced care strain in delirium respectively. Subgroup analyses were performed for healthcare workers completing 0 to 6 versus 7 to 11 modules. RESULTS: The delirium recognition score improved significantly (mean 3.1 ± SD 0.9 versus 2.7 ± 1.1; P = 0.04), and more healthcare workers identified hypoactive (P = 0.04) and hyperactive (P = 0.007) delirium in the posttest compared to the pretest phase. A significant difference in the change of recognition levels over time between the 0 to 6 and 7 to 11 module groups was demonstrated (P = 0.03), with an improved recognition level in the posttest phase within the 7 to 11 module group (P = 0.007). After adjustment for potential confounders, this difference in the change over time was not significant (P = 0.07) and no change in recognition levels within the 7 to 11 module group was noted (P = 0.19). The knowledge score significantly improved in the posttest compared to the pretest phase (mean 31.7 ± SD2.6 versus 28.3 ± 4.5; P < 0.001), with a significant increased level within the 7 to 11 module group (unadjusted P < 0.001/adjusted P = 0.02). Overall, no difference between posttest and pretest phases was documented for care strain (P = 0.46). CONCLUSION: The e-learning tool improved healthcare workers' delirium recognition and knowledge. The effect of the tool is related to its level of completion, but was less explicit after controlling for potential confounders and warrants further investigation. The level of strain did not improve.

Is preoperative state anxiety a risk factor for postoperative delirium among elderly hip fracture patients?

AIM: To determine if preoperative state anxiety is a risk factor for postoperative delirium in older hip fracture patients. METHODS: A secondary data analysis comprising data from a prospective non-randomized trial including 86 patients with a hip fracture aged 65 years and older was carried out. State anxiety was measured preoperatively using the State-Trait Anxiety Inventory. Delirium and its severity was measured pre- and postoperatively (day 1, 3, 5, 8) by trained research nurses using the Confusion Assessment Method and Delirium Index. RESULTS: A total of 24 patients (27.9%) developed delirium postoperatively. Preoperative state anxiety (State-Trait Anxiety Inventory) was not associated with postoperative delirium (rb = 0.135, P = 0.353), duration of postoperative delirium (rho = 0.038, P = 0.861) or severity of postoperative delirium (rho = 0.153, P = 0.160). Independent predictors of postoperative delirium were lower MMSE scores (OR 0.75, 95% CI 0.60-0.95, P = 0.015), osteosynthesis surgery (OR 3.66, 95% CI 1.02-13.15, P = 0,047) and lowest intraoperative diastolic blood pressure (OR 0.92, 95% CI 0.85-0.99, P = 0.031). CONCLUSION: No relationship between state anxiety and postoperative delirium was found, but significant methodological hurdles were observed and discussed providing important groundwork for further research in this area. Further research should focus on reliable measurement of state anxiety in cognitively impaired older populations. Geriatr Gerontol Int 2016; 16: 948-955.

Prevalence of frailty and its ability to predict in hospital delirium, falls, and 6-month mortality in hospitalized older patients.

BACKGROUND: The prevalence and significance of frailty are seldom studied in hospitalized patients. Aim of this study is to evaluate the prevalence of frailty and to determine the extent that frailty predicts delirium, falls and mortality in hospitalized older patients. METHODS: In a prospective study of 220 older patients, frailty was determined using the Cardiovascular Health Study (CHS) and the Study of Osteoporotic Fracture (SOF) frailty index. Patients were classified as nonfrail, prefrail, and frail, according to the specific criteria. Covariates included clinical and laboratory parameters. Outcome variables included in hospital delirium and falls, and 6-month mortality. RESULTS: The CHS frailty index was available in all 220 patients, of which 1.5% were classified as being nonfrail, 58.5% as prefrail, and 40% as frail. The SOF frailty index was available in 204 patients, of which 16% were classified as being nonfrail, 51.5% as prefrail, and 32.5% as frail. Frailty, as identified by the CHS and SOF indexes, was a significant risk factor for 6-month mortality. However, after adjustment for multiple risk factors, frailty remained a strong independent risk factor only for the model with the CHS index (OR 4.7, 95% CI 1.7-12.8). Frailty (identified by CHS and SOF indexes) was not found to be a risk factor for delirium or falls. CONCLUSIONS: Frailty, as measured by the CHS index, is an independent risk factor for 6-month mortality. The CHS and the SOF indexes have limited value as risk assessment tools for specific geriatric syndromes (e.g., falls and delirium) in hospitalized older patients.

Detection of delirium in palliative care unit patients: a prospective descriptive study of the Delirium Observation Screening Scale administered by bedside nurses.

BACKGROUND: The Delirium Observation Screening Scale (DOS) is designed to detect delirium by nurses' observations and has shown good psychometric properties. Its use in palliative care unit patients has not been studied. AIM: To determine diagnostic and concurrent validity, internal consistency, and user-friendliness of the Delirium Observation Screening Scale administered by bedside nurses in palliative care unit patients. DESIGN: In this descriptive study, psychometric properties of the Delirium Observation Screening Scale were tested by comparing the performance on the Delirium Observation Screening Scale (bedside nurses) to the algorithm of the Confusion Assessment Method and the Delirium Index (DI) (researchers). Paired observations were collected on three time points. Afterward, the user-friendliness of the Delirium Observation Screening Scale was determined by bedside nurses using a questionnaire. SETTING/PARTICIPANTS: In total, 48 patients were recruited from one palliative care unit (PCU) of a university hospital. Of the 14 eligible bedside nurses of the palliative care unit, 10 participated in the study. RESULTS: Delirium was present in 22.9% of patients. Diagnostic validity of the Delirium Observation Screening Scale was very good (area under the curve = 0.933), with 81.8% sensitivity, 96.1% specificity, 69.2% positive, and 98% negative predictive value. Concurrent validity of the Delirium Observation Screening Scale with the Delirium Index was moderate (rSpearman = 0.53, p = 0.001). The Cronbach's alpha for all Delirium Observation Screening Scale shift scores was 0.772. Generally, bedside nurses experienced the Delirium Observation Screening Scale as user-friendly. However, most Delirium Observation Screening Scale items (n = 11/13 items) need verbally active patients to perform the observations correctly. CONCLUSION: The Delirium Observation Screening Scale can be used for delirium screening in verbally active palliative care unit patients. The scale was rated as easy to use and relevant. Further validation studies in this population are required.

Preventing delirium in older adults with recent hip fracture through multidisciplinary geriatric consultation.

OBJECTIVES: To evaluate the effect of inpatient geriatric consultation teams (IGCTs), which have been introduced to improve the quality of care of older persons hospitalized on nongeriatric wards, on delirium and overall cognitive functioning in older adults with hip fracture. DESIGN: Controlled trial. SETTING: Two trauma wards in a university hospital setting. PARTICIPANTS: One-hundred seventy-one people with hip fracture aged 65 and older assigned to a multidisciplinary geriatric intervention (n = 94) or usual care (n = 77). MEASUREMENTS: Incidence and duration of delirium were measured using the Confusion Assessment Method, severity of delirium using the Delirium Index, and cognitive status using the 12-item Mini-Mental State Examination. RESULTS: Significantly more controls (53.2%; n = 41) than intervention group participants (37.2%; n = 35; P = .04; odds ratio (OR) = 1.92, 95% confidence interval (CI) = 1.04-3.54) were delirious at any point after surgery. No significant difference was found between the groups for duration or severity of delirium episodes. The proportion of participants with cognitive decline at discharge was higher in controls than in those assigned to geriatric intervention (38.7% vs 22.6%; P = .02; OR = 2.16, 95% CI = 1.10-4.24). CONCLUSION: Delirium episodes and cognitive decline during hospitalization were found to be common in older adults with hip fracture, as expected, but an IGCT intervention reduced the incidence of these adverse outcomes. In participants who developed delirium, a geriatric consultation had no effect on severity or duration of the delirium episode.

The virtual gateway: opening doors in delirium teaching and learning.

Delirium is a common, serious and potentially preventable problem. It is argued here that knowledge and skills for effective assessment and treatment of delirium cannot be considered 'specialist'. Rather, delirium is a problem that requires a healthcare team approach to assessing patients, identifying risks or symptoms and reducing precipitating factors. Research from the preceding decade suggests that the clinical reality is falling short of this ideal with the result that many cases of delirium go undetected and many precipitating factors are not reduced where this is indeed possible. This presents a challenge for the education of nursing and medical students and for the development of qualified staff in practice. The current paper outlines an educational approach, e-learning, which increases access for learners, integrates knowledge and skill development and promotes active, problem-based learning.

Is preoperative anxiety and depression associated with onset of delirium after cardiac surgery in older patients? A prospective cohort study.

OBJECTIVES: To investigate the prevalence of preoperative anxiety and depressive symptoms and their relationship with the occurrence of postcardiac delirium and to describe the evolution of these symptoms from preoperative admission until discharge. DESIGN: Descriptive, prospective, longitudinal study. SETTING: The intensive care unit and two cardiac surgery units in a university hospital setting. PARTICIPANTS: One hundred four patients (median age 71; 78.8% men) admitted for elective cardiac surgery. MEASUREMENTS: Anxiety measured preoperatively using the State-Trait Anxiety Inventory (STAI) and the Hospital Anxiety and Depression Scale (HADS); depression using the HADS; cognitive functioning using the Mini-Mental State Examination (MMSE); delirium using the Confusion Assessment Method (CAM), the CAM for the Intensive Care Unit (CAMICU), and the Delirium Index (DI); and activities of daily living using the Katz index of activities of daily living (Katz ADL scale). MMSE, CAM/CAM-ICU, and DI were obtained on postoperative Days 1, 3, and 7. On Day 7 and at discharge, the STAI, HADS, and Katz ADL scale were repeated. RESULTS: Postoperative delirium occurred in 26%; 55.8% reported preoperative state anxiety, 25.2% generalized anxiety, and 15.5% depressive symptoms, but no association was found with delirium occurrence. Based on multivariable analysis, prolonged intubation time (odds ratio (OR)51.10, CI: 1.05-1.15, P5.001) and a low intraoperative lowest body temperature (OR50.86, CI: 0.74-0.99, P5.03) were independent predictors of delirium onset. At discharge, 35.7% and 12.2% of patients reported state anxiety and generalized, and 15.3% reported depressive symptoms. CONCLUSION: Despite the high prevalence of preoperative anxiety and depressive symptoms in older patients with cardiac surgery, no association was found with postoperative delirium.