Comparative Diagnostic Accuracy of Nursing Delirium Screening Scale Versus Confusion Assessment Method for Postoperative Delirium: A Systematic Review and Meta-Analysis.

AIMS: To synthesise the evidence on and to compare the diagnostic accuracy of the Nu-DESC and CAM in detecting postoperative delirium among hospitalised patients. DESIGN: Systematic review and diagnostic meta-analysis. DATA SOURCES: The PubMed, Embase, Cumulative Index to Nursing and Allied Health Literature, ProQuest Dissertations and Theses A&I, and PsycINFO databases were systematically searched from their inception to February 10, 2023. RESULTS: In total, 10 (n = 1950) and seven (n = 830) reports were included for the Nu-DESC and CAM, respectively. For Nu-DESC and CAM, the pooled sensitivities were 0.69 and 0.65, respectively, while the summary specificities were 0.99 for Nu-DESC and 0.92 for CAM. The pooled specificity differed significantly between the two tools (p < 0.001), despite comparable pooled sensitivities. The duration of stay in the intensive care unit significantly moderated the summary specificity of Nu-DESC (B = -0.0003, p = 0.009). Regarding CAM, the percentage of female participants showed a positive correlation with its pooled sensitivity (B = 0.005, p = 0.02). Furthermore, studies where clinical specialists served as assessors demonstrated a higher summary sensitivity than those assessed by nurses (0.87 vs. 0.25, p = 0.01). CONCLUSION: The sensitivities of the Nu-DESC and CAM for detecting postoperative delirium did not achieve optimal levels. Therefore, developing more accurate tools to detect postoperative delirium by integrating features from related risk factors or incorporating technology-based algorithms to enhance the screening capability is warranted. REPORTING METHOD: The study has adhered to PRISMA-DTA guideline. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution. TRIAL REGISTRATION: The study protocol has been registered on PROSPERO (CRD42023398961).

Diagnostic Accuracy of the Recognizing Acute Delirium as Part of Your Routine (RADAR) Scale for Delirium Assessment in Hospitalized Older Adults: A Cross-Sectional Study.

Delirium is highly prevalent among hospitalized older adults and is associated with unfavorable outcomes. However, delirium often remains undiagnosed in the hospital context. Having a valid, simple, and fast screening tool could help in limiting the additional workload for healthcare professionals, without leaving delirium undetected. The aim of this study was to estimate the sensitivity and specificity of the Recognizing Acute Delirium As part of your Routine (RADAR) scale in an Italian hospital. An observational cross-sectional study was conducted. A total of 150 patients aged ≥70 years were enrolled. Receiver operating characteristic (ROC) curves using the Confusion Assessment Method (CAM) criterion-defined delirium as the gold standard were plotted to evaluate the performance of the RADAR scale. The cut-off suggested by previous research was used to estimate the sensitivity, specificity, and positive and negative predictive values of the RADAR scale. The involved patients were mostly females (60%; n = 90), with a median age of 84 years (I-III quartiles: 80-88). According to the CAM and the RADAR scale, 37 (25%) and 58 (39%) patients were classified as experiencing delirium, respectively. The area under the ROC curve of the RADAR scale was 0.916. Furthermore, the RADAR scale showed robust sensitivity (95%), specificity (80%), and positive (60%) and negative predictive values (98%). The RADAR scale is thus suggested to be a valid tool for screening assessment of delirium in hospitalized older adults.

Rest-Activity Rhythm Differences in Acute Rehabilitation Between Poststroke Patients and Non-Brain Disease Controls: Comparative Study.

BACKGROUND: Circadian rhythm disruptions are a common concern for poststroke patients undergoing rehabilitation and might negatively impact their functional outcomes. OBJECTIVE: Our research aimed to uncover unique patterns and disruptions specific to poststroke rehabilitation patients and identify potential differences in specific rest-activity rhythm indicators when compared to inpatient controls with non-brain-related lesions, such as patients with spinal cord injuries. METHODS: We obtained a 7-day recording with a wearable actigraphy device from 25 poststroke patients (n=9, 36% women; median age 56, IQR 46-71) and 25 age- and gender-matched inpatient control participants (n=15, 60% women; median age 57, IQR 46.5-68.5). To assess circadian rhythm, we used a nonparametric method to calculate key rest-activity rhythm indicators-relative amplitude, interdaily stability, and intradaily variability. Relative amplitude, quantifying rest-activity rhythm amplitude while considering daily variations and unbalanced amplitudes, was calculated as the ratio of the difference between the most active 10 continuous hours and the least active 5 continuous hours to the sum of these 10 and 5 continuous hours. We also examined the clinical correlations between rest-activity rhythm indicators and delirium screening tools, such as the 4 A's Test and the Barthel Index, which assess delirium and activities of daily living. RESULTS: Patients who had a stroke had higher least active 5-hour values compared to the control group (median 4.29, IQR 2.88-6.49 vs median 1.84, IQR 0.67-4.34; P=.008). The most active 10-hour values showed no significant differences between the groups (stroke group: median 38.92, IQR 14.60-40.87; control group: median 31.18, IQR 18.02-46.84; P=.93). The stroke group presented a lower relative amplitude compared to the control group (median 0.74, IQR 0.57-0.85 vs median 0.88, IQR 0.71-0.96; P=.009). Further analysis revealed no significant differences in other rest-activity rhythm metrics between the two groups. Among the patients who had a stroke, a negative correlation was observed between the 4 A's Test scores and relative amplitude (ρ=-0.41; P=.045). Across all participants, positive correlations emerged between the Barthel Index scores and both interdaily stability (ρ=0.34; P=.02) and the most active 10-hour value (ρ=0.42; P=.002). CONCLUSIONS: This study highlights the relevance of circadian rhythm disruptions in poststroke rehabilitation and provides insights into potential diagnostic and prognostic implications for rest-activity rhythm indicators as digital biomarkers.

Detection of delirium in older patients-A point prevalence study in surgical and non-surgical hospital wards.

AIMS AND OBJECTIVES: To (i) determine the prevalence of delirium and identify delirium subtypes in surgical and non-surgical patients aged ≥65 years, (ii) determine whether certain precipitating factors affect the prevalence of delirium and (iii) review patients' medical records for description of delirium symptoms and the presence of International Classification of Diseases (ICD-10) coding for delirium in discharge summaries. METHODOLOGICAL DESIGN AND JUSTIFICATIONS: Despite being a robust predictor of morbidity and mortality in older adults, delirium might be inadequately recognised and under-reported in patients' medical records and discharge summaries. A point prevalence study (24-h) of patients ≥65 years from surgical and non-surgical wards was therefore conducted in a tertiary university hospital. ETHICAL ISSUES AND APPROVAL: The study was approved by the Data Protection Officer at the university hospital (2018/3454). RESEARCH METHODS, INSTRUMENTS AND/OR INTERVENTIONS: Patients were assessed for delirium with 4AT and delirium subtypes with the Delirium Motor Subtype Scale. Information about room transfers, need and use of sensory aids and medical equipment was collected onsite. Patients' medical records were reviewed for description of delirium symptoms and of ICD-10 codes. RESULTS: Overall, 123 patients were screened (52% female). Delirium was identified in 27% of them. Prevalence was associated with advanced age (≥85 years). The uncharacterised delirium subtype was most common (36%), followed by hypoactive (30%), hyperactive (24%) and mixed (9%). There were significant associations between positive screening tests and the need and use of sensory aids. Delirium symptoms were described in 58% of the patients who tested positive for delirium and the ICD-10 code for delirium was registered in 12% of these patients' discharge summaries. CONCLUSIONS: The high prevalence of delirium and limited use of discharge codes highlight the need to improve the identification of delirium in hospital settings and at discharge. Increased awareness and detection of delirium in hospital settings are vital to improve patient care.

Prospective validation of Sophia observation withdrawal symptoms: A paediatric delirium scale in critically ill children in Denmark.

BACKGROUND: Paediatric delirium (PD) is increasingly recognised as a common disorder in critically ill children with a reported prevalence ranging from 9% to 66%. We validated the PD component of the Sophia Observation withdrawal Symptoms-Paediatric Delirium (SOS-PD) scale in a Danish setting to provide increased awareness and reliable identification of this critical condition, thereby paving the way for improved pathways to targeted delirium care. OBJECTIVE: The objectives of this study were to criterion validate the PD component of the SOS-PD screening tool by comparing blinded psychiatric and nurse assessments and to estimate the prevalence of delirium in critically ill children in a Danish context. METHODS: A prospective observational study was performed on critically ill children aged between 3 m and 18 y, admitted to an intensive care unit, with a hospital stay of 48 h or more. Assessments took place on a fixed weekday over an 18-month period. To test accuracy and criterion validity, bedside nurses' SOS-PD assessments were compared to the reference standard, a diagnostic assessment performed by a child psychiatrist according to the Diagnostic and Statistical Manual-V criteria by use of the Vanderbilt Assessment of Delirium in Infants and Children. RESULTS: We included 141 children in the study, 30 (21%) of whom were diagnosed with delirium by the child psychiatrist. The accuracy of the delirium diagnosis was 93.6% (95% confidence interval [CI]: 88.3-97.1) among the nurses' SOS-PD assessments compared to the reference standard. The SOS-PD demonstrated a high sensitivity of 83.3% (95% CI: 65.3-94.4) and a high specificity of 96.4% (95% CI: 91.0-99.0) with five false-negative and four false-positive cases. CONCLUSION: The PD component of the SOS-PD tool has good accuracy and validity for assessments performed by nurses compared to a child psychiatrist's diagnosis in critically ill children in a Danish setting. We recommend the use of the SOS-PD instrument in clinical practice.

Diagnostic accuracy of the pediatric CAM-ICU, pre-school CAM-ICU, Pediatric Anesthesia Emergence Delirium and Cornell Assessment of Pediatric Delirium for detecting delirium in the pediatric intensive care unit: A systematic review and meta-analysis.

OBJECTIVES: Delirium is a frequent complication of critical illness, affecting 34% of children admitted to pediatric intensive care units. The commonly used tools for detecting delirium in the pediatric intensive care unit include the Pediatric Confusion Assessment Method for the intensive care unit (ICU, pCAM-ICU), Preschool Confusion Assessment Method for the ICU (psCAM-ICU), Pediatric Anesthesia Emergence Delirium and the Cornell Assessment of Pediatric Delirium. DATA SOURCES: We searched four electronic databases for relevant articles from inception to March 1, 2023. STUDY SELECTION: All full-text observational studies examining the sensitivity and specificity of the four tools for screening delirium in the pediatric intensive care units were included. DATA EXTRACTION: Two researchers independently identified articles, extracted data, and retrieved the diagnostic accuracy parameters of the pediatric CAM-ICU, pre-school CAM-ICU, Pediatric Anesthesia Emergence Delirium, and Cornell Assessment of Pediatric Delirium relative to standard references. A bivariate diagnostic statistical analysis with a random-effects model was performed. DATA SYNTHESIS: Four, five, three and seven studies on the pediatric CAM-ICU, pre-school CAM-ICU, Pediatric Anesthesia Emergence Delirium, and Cornell Assessment of Pediatric Delirium, respectively, were identified. Due to the limited number of Pediatric Anesthesia Emergence Delirium articles included, no pooled diagnostic accuracy was produced. The pooled sensitivity was 0.73, 0.84, and 0.95 for the pediatric CAM-ICU, pre-school CAM-ICU, and Cornell Assessment of Pediatric Delirium, respectively, whereas the pooled specificity was 0.98, 0.90, and 0.81, respectively. The Cornell Assessment of Pediatric Delirium had greater sensitivity compared to both the pediatric CAM-ICU and pre-school CAM-ICU (both p = 0.04) and lower specificity than the pediatric CAM-ICU did (p < 0.001). Age, sample size, and mechanical ventilation use were significant moderators of the specificity of the pediatric CAM-ICU (p < 0.001, <0.001, and = 0.001, respectively). CONCLUSIONS: Our data indicate that the Cornell Assessment of Pediatric Delirium is a more dependable instrument than the pediatric CAM-ICU and pre-school CAM-ICU for detecting pediatric intensive care delirium occurrence. More studies on the Pediatric Anesthesia Emergence Delirium are warranted. IMPLICATIONS FOR CLINICAL PRACTICE: Healthcare providers are suggested adopting the Cornell Assessment of Pediatric Delirium into daily routine for the early detection of delirium in pediatric intensive care units.

The use of checklists in the intensive care unit: a scoping review.

BACKGROUND: Despite the extensive volume of research published on checklists in the intensive care unit (ICU), no review has been published on the broader role of checklists within the intensive care unit, their implementation and validation, and the recommended clinical context for their use. Accordingly, a scoping review was necessary to map the current literature and to guide future research on intensive care checklists. This review focuses on what checklists are currently used, how they are used, process of checklist development and implementation, and outcomes associated with checklist use. METHODS: A systematic search of MEDLINE (Ovid), Embase, Scopus, and Google Scholar databases was conducted, followed by a grey literature search. The abstracts of the identified studies were screened. Full texts of relevant articles were reviewed, and the references of included studies were subsequently screened for additional relevant articles. Details of the study characteristics, study design, checklist intervention, and outcomes were extracted. RESULTS: Our search yielded 2046 studies, of which 167 were selected for further analysis. Checklists identified in these studies were categorised into the following types: rounding checklists; delirium screening checklists; transfer and handover checklists; central line-associated bloodstream infection (CLABSI) prevention checklists; airway management checklists; and other. Of 72 significant clinical outcomes reported, 65 were positive, five were negative, and two were mixed. Of 122 significant process of care outcomes reported, 114 were positive and eight were negative. CONCLUSIONS: Checklists are commonly used in the intensive care unit and appear in many clinical guidelines. Delirium screening checklists and rounding checklists are well implemented and validated in the literature. Clinical and process of care outcomes associated with checklist use are predominantly positive. Future research on checklists in the intensive care unit should focus on establishing clinical guidelines for checklist types and processes for ongoing modification and improvements using post-intervention data.

Delirium assessment tools among hospitalized older adults: A systematic review and metaanalysis of diagnostic accuracy.

Delirium is a common neuropsychiatric syndrome that is often overlooked in clinical settings. The most accurate instrument for screening delirium has not been established. This study aimed to compare the diagnostic accuracy of the 4 'A's Test (4AT), Nursing Delirium Screening Scale (Nu-DESC), and Confusion Assessment Method (CAM) in detecting delirium among older adults in clinical settings. These assessment tools feature concise item sets and straightforward administration procedures. Five electronic databases were systematically searched from their inception to September 7, 2022. Studies evaluating the sensitivity and specificity of the 4AT, Nu-DESC, and CAM against the Diagnostic and Statistical Manual of Mental Disorders or International Classification of Diseases as the reference standard were included. Bivariate random effects model was used to summarize the sensitivity and specificity results. A total of 38 studies involving 7378 patients were included. The 4AT, Nu-DESC, and CAM had comparable sensitivity in detecting delirium (0.76, 0.78, and 0.80, respectively). However, the specificity of the CAM was higher than that of the 4AT (0.98 vs 0.89, P = .01) and Nu-DESC 0.99 vs 0.90, P = .003). Diagnostic accuracy was moderated by the percentage of women, acute care setting, sample size, and assessors. The three tools exhibit comparable sensitivity, and the CAM has the highest specificity. Based on the feasibility of the tools, nurses and clinical staffs could employ the Nu-DESC and the 4AT on screening out positive delirium cases and integrate these tools into daily practice. Further investigations are warranted to verify our findings.

Predicting hospital mortality and length of stay: A prospective cohort study comparing the Intensive Care Delirium Screening Checklist versus Confusion Assessment Method for the Intensive Care Unit.

OBJECTIVE: The objective of this study was to compare two tools, the Intensive Care Delirium Screening Checklist (ICDSC) and Confusion Assessment Method for the intensive care unit (ICU) (CAM-ICU), for their predictive validity for outcomes related to delirium, hospital mortality, and length of stay (LOS). METHODS: The prospective study conducted in six medical ICUs at a tertiary care hospital in Taiwan enrolled consecutive patients (≥20 years) without delirium at ICU admission. Delirium was screened daily using the ICDSC and CAM-ICU in random order. Arousal was assessed by the Richmond Agitation-Sedation Scale (RASS). Participants with any one positive result were classified as ICDSC- or CAM-ICU-delirium groups. RESULTS: Delirium incidence evaluated by the ICDSC and CAM-ICU were 69.1% (67/97) and 50.5% (49/97), respectively. Although the ICDSC identified 18 more cases as delirious, substantial concordance (κ = 0.63; p < 0.001) was found between tools. Independent of age, Acute Physiology and Chronic Health Evaluation II score, and Charlson Comorbidity Index, both ICDSC- and CAM-ICU-rated delirium significantly predicted hospital mortality (adjusted odds ratio: 4.93; 95% confidence interval [CI]:1.56 to 15.63 vs. 2.79; 95% CI: 1.12 to 6.97, respectively), and only the ICDSC significantly predicted hospital LOS with a mean of 17.59 additional days compared with the no-delirium group. Irrespective of delirium status, a sensitivity analysis of normal-to-increased arousal (RASS≥0) test results did not alter the predictive ability of ICDSC- or CAM-ICU-delirium for hospital mortality (adjusted odds ratio: 2.97; 95% CI: 1.06 to 8.37 vs. 3.82; 95% CI: 1.35 to 10.82, respectively). With reduced arousal (RASS<0), neither tool significantly predicted mortality or LOS. CONCLUSIONS: The ICDSC identified more delirium cases and may have higher predictive validity for mortality and LOS than the CAM-ICU. However, arousal substantially affected performance. Future studies may want to consider patients' arousal when deciding which tool to use to maximise the effects of delirium identification on patient mortality.

Postoperative delirium.

Postoperative delirium is a serious complication occurring mainly in patients over 65 years. This complication is common in the above mentioned age group and has been described in up to 50% of patients. Postoperative delirium has a significant impact both on postoperative morbidity and mortality. Systematic and early detection of at-risk patients is essential to reduce the risk of postoperative delirium. Targeted efforts are then developed in thus identified patients to reduce the risk factors for developing delirium. An individualized approach to anesthesia is adopted during the surgery. Procedures that contribute to reducing the risk of developing delirium are preferred in the postoperative period. If this complication does occur, it is primarily preferred to manage any potential cause of the condition using non-pharmacological procedures. Pharmacological interven- tion should be reserved only for patients with a hyperactive form of delirium. The aim of the article was to shed more light on measures that help to prevent the delirium and on the therapeutic procedures used.

Using Music for the Prevention of Delirium in Patients After Coronary Artery Bypass Graft Surgery: A Randomized Clinical Trial.

OBJECTIVE: The aim was to evaluate the effect of music on preventing delirium after coronary artery bypass grafting, to analyze vital signs and blood gas parameters, and to determine risk factors affecting delirium. DESIGN: A randomized clinical trial. SETTING: A single-center, tertiary hospital. PARTICIPANTS: In total, 200 patients who underwent coronary artery bypass grafting surgery from April 2020 to April 2021. INTERVENTIONS: A one-hour session of new-age music was administered twice a day postoperatively for 7 days using a headphone. Delirium was assessed using the Confusion Assessment Method for the Intensive Care Unit before and after each session. Vital signs and blood gas parameters were compared to evaluate the effect of music. All assessments were conducted blindly by a different researcher. MEASUREMENTS AND MAIN RESULTS: Twelve participants who were delirium-positive were in the control group, and there were 3 in the case group, which suggested a statistically significant effect of music in preventing delirium (p = 0.016). The mean age of patients was 64.7 ± 7.9 years old in the control group and 62.2 ± 7.5 years old in the case group. There was a significant difference among the control and case groups in terms of the surgery time; surgery time in the control group was significantly lower than in the case group (242.4 ± 42.3 v 261.6 ± 48.9, respectively; p = 0.03 < 0.05). Blood pressure and heart rate in the case group were lower, similar to the respiratory rate and venous blood gas parameters; Blood pressure differences were not statistically significant (p > 0.05); CONCLUSION: Relaxation music, including bird, water, and wind, significantly prevents delirium after coronary artery bypass grafting.

Use of Automated Infrared Pupillometry to Predict Delirium in the Intensive Care Unit: A Prospective Observational Study.

Introduction: Delirium is an acute state of brain dysfunction prevalent among critically ill patients. Disturbances in the sympathetic neurons, including cholinergic neurons, have been reported to cause delirium by upsetting the balance of neurotransmitter synthesis, release, and inactivation. The cholinergic system mediates pupillary constriction as a response to light stimulation, and this reflex can be measured using automated infrared pupillometry (AIP). The relationship between delirium and AIP parameters has been examined. The Confusion Assessment Method for the Intensive Care Unit (CAM ICU) and the Intensive Care Unit Delirium Screening Checklist (ICDSC) are used for assessing delirium. However, that between the ICDSC score and AIP parameters remains unclear. Objective: To examine the relationship between AIP parameters and the various categories of delirium as defined by the ICDSC score (delirium, subsyndromal delirium, no delirium). Methods: This prospective observational study included patients aged ≥18 years admitted to the intensive care unit (ICU) from May 2018 to September 2018. ICU patients were classified into delirium, subsyndromal delirium, and no delirium groups according to the ICDSC score during ICU stay. The pupillary light reflex was assessed in both eyes immediately after admission using AIP with a portable infrared pupillometer. Logistic regression analyses were used to estimate the odds ratio to examine the relationship between the severity of delirium as assessed by the ICDSC score and the AIP parameters. Results: In total 133 patients were included in the study. Based on the ICDSC scores, 41.4% of patients had no delirium, 40.6% had subsyndromal delirium, and 18% had delirium. Dilation velocity (DV) measured by AIP was significantly different among the delirium, subsyndromal delirium, and no delirium groups. Post-hoc comparisons showed that DV was significantly slower in the delirium group than in the no delirium group but was not significantly different between the subsyndromal delirium and no delirium groups. After adjusting for patients' sex and age at enrollment, DV was shown to be independently associated with delirium. Conclusion: This study suggests that the use of AIP at ICU admission may improve the identification of patients at a high risk of developing delirium.

Silent cerebral ischemia detected by magnetic resonance imaging can predict postoperative delirium after total arch replacement for aneurysm.

Objective: To identify whether preoperative magnetic resonance imaging findings of the brain can predict postoperative delirium in patients who undergo arch replacement for aneurysms. Methods: Overall, 193 patients who underwent aortic replacement for the first time at a single institution between April 2014 and September 2020 were enrolled in this retrospective study. After we excluded patients with acute aortic dissection, no preoperative magnetic resonance imaging findings of the brain, and postoperative cerebral infarction, 50 patients were included and divided into 2 groups, according to their confusion scale results: postoperative delirium (group D) and nonpostoperative delirium (group ND). Preoperative magnetic resonance imaging findings of the brain were classified into lacunar stroke, periventricular hyperintensity, and deep subcortical white matter hyperintensity groups; the latter 2 groups were further classified based on the Fazekas scale, grade 0 to 3. Results: There were 23 patients (46%) in group D and 27 (54%) in group ND. The mean age was significantly greater in group D than in group ND (75 vs 70 years; P = .007). The mean operative time was significantly longer in group D than in group ND (447 vs 384 minutes; P = .024). As for preoperative magnetic resonance imaging findings of the brain, there were significantly more lacunar stroke cases in group D than in group ND (P = .027). In multivariable logistic regression with stepwise selection, high-grade periventricular hyperintensity was significantly related to postoperative delirium (odds ratio, 9.38; 95% confidence interval, 1.55-56.56; P = .015). Conclusions: Silent cerebral ischemia detected by preoperative magnetic resonance imaging of the brain was a significant risk factor for postoperative delirium.

Diagnostic accuracy of the Spanish version of the 4AT scale (4AT-ES) for delirium screening in older inpatients

Background and objectivesThe 4AT scale is a sensitive tool for screening delirium, which can be applied rapidly in clinical settings without any specific training. It has not been translated, adapted, and validated to assess Spanish older adults. The aims of the study are: to translate and adapt to Spanish culture the 4AT scale, to present evidence of the diagnostic accuracy of this version (4AT-ES) when applied in non-specialized hospital wards, and to assess the loss of diagnostic accuracy in presence of risk factors.MethodsA prospective sample was independently assessed on the 4AT-ES and the reference standard. One hundred and twenty-one inpatients (70+ years) for whom a psychiatric assessment was requested were included. Out of them, 50 were diagnosed with delirium. Nurses without specific training applied the 4AT-ES, and experienced psychiatrists cast the reference standard diagnosis (DSM-V criteria).ResultsPatients with delirium were older and had more risk factors (more previous delirium episodes, a higher likelihood of prior dementia/cognitive impairment) than controls. The 4AT-ES had excellent validity, sensitivity (96%) , and specificity (83.1%). The area under the curve was 0.918; in the subsample with any of those risk factors, its value did not decrease.ConclusionThe 4AT-ES version of the 4AT scale was developed. When applied by non-specifically trained, nursing staff it showed excellent validity, sensitivity, and specificity, even in a subsample with previous risk factors. All indices were comparable to the original version. We recommend its use for efficient delirium screening in hospitalized older patients with suspected delirium. (AU)

Evidence-Based Guideline on Management of Postoperative Delirium in Older People for Low Resource Setting: Systematic Review Article.

Background: Postoperative delirium is the highest prevalence and life-threatening complication following geriatric surgery. The overall incidence rate varies from 5% to 52% of hospitalized surgical patients based on the type of surgery that often began in the postanesthesia care unit and continues up to 5 days post-surgery. Postoperative delirium manifests as a hypoactive, hyperactive and mixed subtype. The mechanism of delirium development is not clear, but it is accepted that delirium is a result of the patient's underlying vulnerabilities or risk factors combined with an outside stressor such as infection or surgery. Objective: To develop evidence-based recommendations for the prevention, diagnosis, and treatment of postoperative delirium. Methods: Literature was searched from PubMed, CINAH, Google Scholar, and Cochrane databases that are published from 2010 to 2021 by formulating inclusion and exclusion criteria. Filtering was made depending on methodological quality, outcome, and data on population. Finally, 11 meta-analysis, 11 systematic reviews, 7 interventional studies, 11 observational studies, and recommendations of the previous clinical practice guideline developed by the American and European are included in this review. Results: A total of 43 studies were considered in this evaluation. The development of this guideline was based on nine studies on risk stratification for postoperative delirium, eighteen studies on risk minimization and prevention for postoperative delirium, five studies on diagnosis for postoperative delirium, and eleven studies on treatments for postoperative delirium. Conclusion: Postoperative delirium management can be categorized into risk assessment, risk minimization, early diagnosis, and treatment. Early diagnosis is critical to trigger focused and effective treatment. Non-pharmacological interventions are the first-line management for both hypoactive and hyperactive postoperative with considering contributory factors and underlying causes. Antipsychotics should only be used for hyperactive delirium individuals who try to harm themselves. Current evidence suggested that dexmedetomidine can be used as a treatment option for postoperative delirium.

Impact of a dementia-friendly program on detection and management of patients with cognitive impairment and delirium in acute-care hospital units: a controlled clinical trial design.

BACKGROUND: Frail older persons with cognitive impairment (CI) are at special risk of experiencing delirium during acute hospitalisation. The purpose of this study was to investigate whether a dementia-friendly hospital program contributes to improved detection and management of patients with CI and risk of delirium at an acute-care hospital in Norway. Furthermore, we aimed to explore whether the program affected the detection of delirium, pharmacological treatment, 30-day re-hospitalisation, 30-day mortality and institutionalisation afterwards. METHODS: This study was part of a larger quality improvement project aiming at developing and implementing a new program for early screening and management of patients with CI. This study, evaluating the program are designed as a controlled clinical trial with a historical control group. It was conducted at two different medical wards at a large acute-care hospital in Norway from September 2018 to December 2019. A total of 423 acute hospitalised patients 75 years of age or older were included in the study. Delirium screening and cognitive tests were recorded by research staff with the 4 'A's Test (4AT) and the Confusion Assessment Measure (CAM), while demographic and medical information was recorded from the electronic medical records (EMR). RESULTS: Implementation of the dementia-friendly hospital program did not show any significant changes in the identification of patients with CI. However, the share of patients screened with 4AT within 24 h increased from 0% to 35.5% (P < .001). The proportion of the patients with CI identified by the clinical staff, who received measures to promote "dementia-friendly" care and reduce the risk for delirium increased by 32.2% (P < .001), compared to the control group. Furthermore, the number of patients with CI who were prescribed antipsychotic, hypnotic or sedative medications was reduced by 24.5% (P < .001). There were no differences in delirium detection, 30-day readmission or 30-day mortality. CONCLUSIONS: A model for early screening and multifactorial non-pharmacological interventions for patients with CI and delirium may improve management of this patient group, and reduce prescriptions of antipsychotic, hypnotic and sedative medications. The implementation in clinical practice of early screening using quality improvement methodology deserves attention. TRIAL REGISTRATION: The protocol of this study was retrospectively registered in the ClinicalTrials.gov Protocol Registration and Results System with the registration number: NCT04737733 and date of registration: 03/02/2021.

A retrospective comparison of haloperidol and hydroxyzine combination therapy with haloperidol alone in the treatment of overactive delirium.

BACKGROUND: For the treatment of delirium, antipsychotics such as haloperidol are used as standard treatments. However, haloperidol has a little sedative effect and may not be sufficiently effective in controlling overactive delirium. Hydroxyzine, an antihistamine, may be used in combination with haloperidol to supplement its sedative effect. The aim of this study was to investigate the effect of haloperidol alone or in combination with hydroxyzine on the improvement of overactive delirium retrospectively. METHOD: Delirium was assessed from medical records using the Intensive Care Delirium Screening Checklist (ICDSC). The number of patients and days with an ICDSC score of < 4, indicating an absence of delirium after haloperidol alone or haloperidol and hydroxyzine was surveyed for 6 days. RESULTS: A total of 157 patients were diagnosed with delirium from April 2019 to July 2021, of which 18 patients received haloperidol alone, and 21 patients received the combination of haloperidol and hydroxyzine for overactive delirium. The number of patients with a mean ICDSC score of < 4 on days 1-6 was two patients (11%) in the haloperidol groups and two patients (10%) in the combination of haloperidol and hydroxyzine group (P = 0.999). The days within < 4 of the ICDSC score on days 1-6 were 0.8 (1.3) and 0.8 (1.5), respectively (P = 0.848). CONCLUSION: Haloperidol alone and haloperidol plus hydroxyzine are both effective in the treatment of overactive delirium. However, the concomitant use of hydroxyzine with haloperidol may not improve the efficacy of treatment of overactive delirium compared to haloperidol alone.

The prevalence of delirium in belgian nursing homes: a cross-sectional evaluation.

BACKGROUND: Delirium is a common geriatric syndrome, but only few studies have been done in nursing home residents. Therefore, the aim of this study was to investigate (point) prevalence of and risk factors for delirium in nursing homes in Belgium. METHODS: A multisite, cross-sectional study was conducted in six nursing homes in Belgium. Residents of six nursing homes were screened for delirium. Exclusion criteria were coma,'end-of-life' status and residing in a dementia ward. Delirium was assessed using the Delirium Observation Screening Scale. RESULTS: 338 of the 448 eligible residents were included in this study. Of the 338 residents who were evaluated, 14.2 % (95 %CI:3.94-4.81) screened positive for delirium with the Delirium Observation Screening Scale. The mean age was 84.7 years and 67.5 % were female. Taking antipsychotics (p = 0.009), having dementia (p = 0.005), pneumonia (p = 0.047) or Parkinson's disease (p = 0.03) were more present in residents with delirium. The residents were more frequently physically restrained (p = 0.001), participated less in activities (p = 0.04), had had more often a fall incident (p = 0.007), had lower levels of cognition (p < 0.001; MoCA ≥ 26, p = 0.04; MoCA ≥ 25, p = 0.008) and a higher "Activities of Daily Living" score (p = 0.001). In multivariable binary logistic regression analysis, a fall incident (2.76; 95 %CI: 1.24-6.14) and cognitive impairment (OR: 0.69; 95 %CI: 0.63-0.77) were significantly associated with delirium. CONCLUSIONS: Delirium is an important clinical problem affecting almost 15 % of the nursing home residents at a given moment. Screening of nursing home residents for risk factors and presence of delirium is important to prevent delirium if possible and to treat underlying causes when present.

The Polish Version of the Nursing Delirium Screening Scale (NuDESC PL)-Experience of Using in Nursing Practice in Cardiac Surgery Intensive Care Unit.

INTRODUCTION: Delirium is a common complication of patients hospitalized in Intensive care units (ICU). The risk of delirium is estimated at approximately 80% in intensive care units. In the case of cardiac surgery ICU, the risk of delirium increases due to the type of procedures performed with the use of extracorporeal circulation. The aim of this study was to provide an official translation and evaluation of Nursing Delirium Screening Scale (NuDESC) into Polish. The NuDESC scale is a scale used by nurses around the world to detect delirium at an early stage in treatment. METHODS: The method used in the study was the NuDESC tool, which was translated into Polish. The study was conducted by Cardiac ICU nurses during day shift (at 8 a.m.), night shift (at 8 p.m.) and in other situations where the patients showed delirium-like symptoms. RESULTS: Statistically significant differences were observed between the first and second day in the studied group of patients in the case of illusions/hallucinations. Delirium occurred more frequently during the night, but statistical significance was demonstrated for both daytime and nighttime shifts. It was not demonstrated in relation to the NuDESC scale in the case of insomnia disorders. The diagnosis of delirium and disorientation was the most common diagnosis observed in patients on the first day of their stay in the ICU, followed by problems with communication. Delirium occurred on the first day, mainly at night. On the second day, delirium was much less frequent during the night; the biggest problem was disorientation and problems with communication. CONCLUSION: This study contributed to the development of the Polish version of the scale (NuDESC PL) which is now used as the Polish screening tool for delirium detection. The availability of an easy-to-use nurse-based delirium instrument is a prerequisite for widespread implementation.