Validity and reliability of the Thai version of the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU)

Perioperative Risk Factors for Postoperative Delirium in Non-dementia Older Patients after Non-cardiac Surgery and Anesthesia: A Prospective Study

BACKGROUND

To investigate the incidence and perioperative risk factors for postoperative delirium (POD) in non-dementia older patients who underwent anesthesia for non-cardiac surgery.

METHODS

This prospective cohort study was conducted on 195 non-dementia older patients, aged 60 years or older, who were hospitalized after non-cardiac surgery and anesthesia. The Confusion Assessment Method for the Intensive Care Unit was used to evaluate the occurrence of POD. Incidence of POD was reported. We conducted univariate and multivariate logistic regression to identify the risk factors associated with POD.

RESULTS

A total of 195 patients were enrolled; 172 completed the study. POD occurred in seven patients within three days after anesthesia, which is a 4.1% incidence of POD. Multivariate logistic analysis showed arrhythmia, coagulopathy, urinary comorbidity, minimum intraoperative heart rate, and minimum post-anesthesia care unit (PACU) pain score as independent risk factors for POD. A minimum PACU pain score >1 is the optimum cutoff pain score for developing POD, with a sensitivity of 85.7% and a specificity of 69.1%. The postoperative complication rate and in-hospital mortality were significantly higher for patients with POD compared to those without POD.

CONCLUSION

The incidence of POD in the study population is 4.1%. Arrhythmia, coagulopathy, urinary comorbidity, minimum intraoperative heart rate, and minimum PACU pain score were independent risk factors for POD. The minimum PACU pain score is the strongest independent risk factor of POD. POD is associated with increased postoperative complications and in-hospital mortality rates in non-dementia older patients.

Validity and predictability of the confusion assessment method for the intensive care unit for delirium among critically ill patients in the intensive care unit: A systematic review and meta-analysis

BACKGROUND

Delirium is the most common psychiatric diagnosis in the intensive care unit (ICU), and 55%-80% of delirium cases are unrecognized and undocumented the most popular validated instruments available to diagnose delirium for critically ill patients are the Confusion Assessment Method for the ICU (CAM-ICU). [Correction added on 16 October 2024, after first online publication: The Background section in Abstract has been added in this version.] AIM: To identify the validity and predictability of the confusion assessment method for the intensive care unit (CAM-ICU) for delirium in critically ill patients in the ICU.

STUDY DESIGN

In this systematic review, PubMed, Embase, Cochrane Central Register of Controlled Trials, and MEDLINE databases were searched for observational studies investigating delirium screening tools for ICU patients. In the meta-analysis, we combined the sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio, and area under the curve (AUC) of SROC to analysis the predictive value of CAM-ICU.

RESULTS

Twenty-nine articles met the inclusion criteria. The pooled sensitivity and specificity values were 0.82 (95% confidence interval [CI]: 0.75-0.87) and 0.95 (95% CI: 0.93-0.97), respectively. The AUC point estimate of the SROC curve was 0.96 (95% CI: 0.94-0.97). Race (Asian or Others) could affect the pooled sensitivity and specificity, and the analysis method (Patient- or Scan-based) and study design were not sources of heterogeneity for pooled sensitivity and specificity.

CONCLUSIONS

The CAM-ICU is a valid and reliable tool for delirium prediction among ICU patients. When introducing CAM-ICU to assess delirium, it is necessary to localize its language and content to improve its predictive efficacy in different countries and different ethnic groups.

RELEVANCE TO CLINICAL PRACTICE

In clinical practice, nurses can use CAM-ICU to evaluate delirium in critically ill patients in ICU. However, it is necessary to debug the language and content according to the application population.

The predictive value of confusion assessment method-intensive care unit and intensive care delirium screening checklist for delirium in critically ill patients in the intensive care unit: A systematic review and meta-analysis

BACKGROUND

Approximately 16%-89% of patients developed delirium during hospitalization in the intensive care unit (ICU). Studies on the accuracy and clinical application of ICU delirium screening tools exist, but the results are inconsistent. Moreover, the accuracy of different screening tools varied greatly.

AIM

To compare the diagnostic accuracy of Confusion Assessment Method-Intensive Care Unit (CAM-ICU) and Intensive Care Delirium Screening Checklist (ICDSC) for delirium screening in critically ill patients in the ICU.

STUDY DESIGN

We searched PubMed, Embase, Cochrane Central Register of Controlled Trials, Medline, and SciELO databases for relevant studies by combining relevant medical subject headings (MeSH) and keywords. Each database was searched from its creation to 30 January 2024. The included literature was screened by title, abstract, and full text. The diagnostic studies were summarized using Stata 14.0 software. SEN, SPE, PLR, NLR, DOR, and 95% confidence interval (CI) of the diagnostic studies were combined, the SROC analysis was performed, and the area under curve was estimated.

RESULTS

Thirty-two articles from the database met the inclusion criteria. The number of studies on CAM-ICU and ICDSC was 28 and 14, respectively. For CAM-ICU, the pooled sensitivity and specificity were 0.81 (95% CI: 0.81-0.81) and 0.94 (95% CI: 0.94-0.94), and the hierarchical SROC curve was 0.96 (95% CI: 0.93-0.97). Regarding the ICDSC, The pooled sensitivity and specificity were 0.79 (95% CI: 0.68-0.86) and 0.90 (95% CI: 0.84-0.93), and the hierarchical SROC curve was 0.92 (95% CI: 0.89-0.94). Regarding the likelihood ratio, the CAM-ICU has a high PLR of 14.24 (95% CI: 14.24-14.24) and a low NLR of 0.20 (95% CI: 0.20-0.20). The ICDSC has a low PLR of 7.64 (95% CI: 5.37-10.87) and a high NLR of 0.24 (95% CI: 0.16-0.35).

CONCLUSIONS

CAM-ICU showed good performance in terms of screening and diagnostic efficacies for delirium in critically ill patients. In view of the diagnostic accuracy of these two tools in delirium assessment, the strategies on how to increase their implementation in delirium screening among ICU patients are the focus of future research.

RELEVANCE FOR CLINICAL PRACTICE

CAM-ICU is recommended as the first choice to evaluate delirium in clinical practice, followed by ICDSC. Future studies can explore the predictive value of CAM-ICU and ICDSC in different special populations and different types of delirium.

Reliability and Validity of Hindi Version of the Confusion Assessment Method for Intensive Care Unit (CAM-ICU) for Diagnosis of Delirium: A Cohort Study

Background

The confusion assessment method for the intensive care unit (CAM-ICU) is a bedside tool to diagnose delirium in critically ill patients. This study aims to determine the reliability and validity of the Hindi version of CAM-ICU against the Diagnostic and Statistical Manual (DSM), fourth edition text revision (DSM-IV-TR), and DSM, fifth edition (DSM-5) criteria for diagnosis of delirium.

Methods

Seventy-five Hindi-speaking consenting patients ≥18-year-old with Richmond Agitation Sedation Scale ≥-3 and an anticipated ICU stay > 48 hours were included. Patients with known severe mental illnesses, visual/hearing loss, neurological injury, burns, drug overdose, and Glasgow Coma Scale <9 at the time of screening were excluded. After 48 hours of ICU stay and ensuring at least 2 hours of sedative interruption, within a 4-hour period, two examiners independently assessed delirium using the Hindi version of the scale and an experienced psychiatrist assessed the patients independently and applied the DSM-IV-TR and DSM-5 criteria for diagnosing delirium. Time taken for CAM-ICU assessment, inter-observer reliability, sensitivity, specificity, and positive and negative predictive values were calculated.

Results

The Cohen's κ value was 0.944 (p < 0.001). The Cronbach's α for observer 1 and observer 2 was 0.961 and 0.968, respectively. The sensitivity and negative predictive value of the tool was 100% with both DSM-IV-TR and DSM-5. The specificity was 90.2% and 92% and the positive predictive value was 82.8 and 86.2% with DSM-IV-TR and DSM-5, respectively.

Conclusions

The Hindi version of CAM-ICU is a reliable and valid tool for the diagnosis of delirium in an ICU setting.

Trial registration

The study was registered with the Clinical Trials Registry, India (CTRI) as per the research guidelines laid down by the Indian Council of Medical Research before enrolling the participants. (CTRI number- CTRI/2021/01/030471). The registration date was 14th January 2021. URL of registry is http://ctri.nic.in.

Highlights

Delirium in the ICU is often undiagnosed due to unfamiliarity, lack of understanding of symptoms, non-availability of psychiatric consultation, and validated diagnostic tools in the native language of the patient. This study aims to find the reliability and validity of the Hindi version of CAM-ICU.

How to cite this article

Salhotra R, Bose A, Srivastava S, Mohta M, Pandarinathan K, Rautela RS. Reliability and Validity of Hindi Version of the Confusion Assessment Method for Intensive Care Unit (CAM-ICU) for Diagnosis of Delirium: A Cohort Study. Indian J Crit Care Med 2024;28(10):958-962.

Implementing pain, agitation, delirium, and sleep deprivation protocol in critically ill patients: A pilot study on pharmacological interventions

Critically ill patients frequently experience pain, agitation, delirium, and sleep deprivation, which have been linked to increased mortality and unfavorable clinical outcomes. To address these challenges, the Pain, Agitation, Delirium, and Sleep Deprivation (PADS) protocol was developed, aiming to mitigate mortality and improve clinical outcomes. This study focuses on assessing the protocol's impact using a robust before-and-after study design in the medical and surgical intensive care units (ICUs) at Ramathibodi Hospital. Using an observational approach, this study compares clinical outcomes before and after implementing the PADS protocol in the ICUs. Two patient cohorts were identified: the "before" group, comprising 254 patients with retrospective data collected between May 2018 and September 2019, and the "after" group, consisting of 255 patients for whom prospective data was collected from May to September 2020. Analysis reveals improvements in the after group. Specifically, there was a significant increase in 14-day ICU-free days (9.95 days vs. 10.40 days, p value = 0.014), a decrease in delirium incidence (18.1% vs. 16.1%, p value < 0.001), and a significant reduction in benzodiazepine usage (38.6% vs. 24.6%, p value = 0.001) within the after group. This study emphasizes the protocol's potential to improve patient care and highlights its significance in the ICU context.

Confusion Assessment Method for the Intensive Care Unit (CAM-ICU) for the diagnosis of delirium in adults in critical care settings

BACKGROUND

Delirium is an underdiagnosed clinical syndrome typified by an acute alteration of mental state. It is an important problem in critical care and intensive care units (ICU) due to its high prevalence and its association with adverse outcomes. Delirium is a very distressing condition for patients, with a huge impact on their well-being. Diagnosis of delirium in the critical care setting is challenging. This is especially true for patients who are mechanically ventilated and are therefore unable to engage in a verbal interview. The Confusion Assessment Method for the Intensive Care Unit (CAM-ICU) is a tool specifically designed to assess for delirium in the context of ICU patients, including those on mechanical ventilation. CAM-ICU can be administered by non-specialists to give a dichotomous delirium present/absent result.

OBJECTIVES

To determine the diagnostic accuracy of the CAM-ICU for the diagnosis of delirium in adult patients in critical care units.

SEARCH METHODS

We searched MEDLINE (Ovid SP, 1946 to 8 July 2022), Embase (Ovid SP, 1982 to 8 July 2022), Web of Science Core Collection (ISI Web of Knowledge, 1945 to 8 July 2022), PsycINFO (Ovid SP, 1806 to 8 July 2022), and LILACS (BIREME, 1982 to 8 July 2022). We checked the reference lists of included studies and other resources for additional potentially relevant studies. We also searched the Health Technology Assessment database, the Cochrane Library, Aggressive Research Intelligence Facility database, WHO ICTRP, ClinicalTrials.gov, and websites of scientific associations to access any annual meetings and abstracts of conference proceedings in the field.

SELECTION CRITERIA

We included diagnostic studies enrolling adult ICU patients assessed using the CAM-ICU tool, regardless of language or publication status and reporting sufficient data on delirium diagnosis for the construction of 2 x 2 tables. Eligible studies evaluated the diagnostic performance of the CAM-ICU versus a clinical reference standard based on any iteration of the Diagnostic and Statistical Manual of Mental Disorders (DSM) criteria applied by a clinical expert.

DATA COLLECTION AND ANALYSIS

Two review authors independently selected and collated study data. We assessed the methodological quality of studies using the QUADAS-2 tool. We used two univariate fixed-effect or random-effects models to determine summary estimates of sensitivity and specificity. We performed sensitivity analyses that excluded studies considered to be at high risk of bias and high concerns in applicability, due mainly to the target population included (e.g. patients with traumatic brain injury). We also investigated potential sources of heterogeneity, assessing the effect of reference standard diagnosis and proportion of patients ventilated.

MAIN RESULTS

We included 25 studies (2817 participants). The mean age of participants ranged from 48 to 69 years; 15 of the studies included critical care units admitting mixed populations (e.g. medical, trauma, surgery patients). The percentage of patients receiving mechanical ventilation ranged from 11.8% to 100%. The prevalence of delirium in the studies included ranged from 12.5% to 83.9%. Presence of delirium was determined by the application of DSM-IV criteria in 13 out of 25 included studies. We assessed 13 studies as at low risk of bias and low applicability concerns for all QUADAS-2 domains. The most common issue of concern was flow and timing of the tests, followed by patient selection. Overall, we estimated a pooled sensitivity of 0.78 (95% confidence interval (CI) 0.72 to 0.83) and a pooled specificity of 0.95 (95% CI 0.92 to 0.97). Sensitivity analysis restricted to studies at low risk of bias and without any applicability concerns (n = 13 studies) gave similar summary accuracy indices (sensitivity 0.80 (95% CI 0.72 to 0.86), specificity 0.95 (95% CI 0.93 to 0.97)). Subgroup analyses based on diagnostic assessment found summary estimates of sensitivity and specificity for studies using DSM-IV of 0.79 (95% CI 0.72 to 0.85) and 0.94 (95% CI 0.90 to 0.96). For studies that used DSM-5 criteria, summary estimates of sensitivity and specificity were 0.75 (95% CI 0.67 to 0.82) and 0.98 (95% CI 0.95 to 0.99). DSM criteria had no significant effect on sensitivity (P = 0.421), but the specificity for detection of delirium was higher when DSM-5 criteria were used (P = 0.024). The relative specificity comparing DSM-5 versus DSM-IV criteria was 1.05 (95% CI 1.02 to 1.08). Summary estimates of sensitivity and specificity for studies recruiting < 100% of patients with mechanical ventilation were 0.81 (95% CI 0.75 to 0.85) and 0.95 (95% CI 0.91 to 0.98). For studies that exclusively recruited patients with mechanical ventilation, summary estimates of sensitivity and specificity were 0.91 (95% CI 0.76 to 0.97) and 0.98 (95% CI 0.92 to 0.99). Although there was a suggestion of differential performance of CAM-ICU in ventilated patients, the differences were not significant in sensitivity (P = 0.316) or in specificity (P = 0.493).

AUTHORS' CONCLUSIONS

The CAM-ICU tool may have a role in the early identification of delirium, in adult patients hospitalized in intensive care units, including those on mechanical ventilation, when non-specialized, properly trained clinical personnel apply the CAM-ICU. The test is most useful for exclusion of delirium. The test may miss a proportion of patients with incident delirium, therefore in situations where detection of all delirium cases is desirable, it may be best to repeat the test or combine CAM-ICU with another assessment. Future studies should compare different screening tests proposed for bedside assessment of delirium, as this approach will reveal which tool yields superior accuracy. In addition, future studies should consider and report the flow and timing of the tests and clearly report key characteristics related to patient selection. Finally, future research should focus on the impact of CAM-ICU screening on patient outcomes.

Diagnostic Value of the Bispectral Index to Assess Sleep Quality after Elective Surgery in Intensive Care Unit

Purpose

Monitoring and improving sleep quality may help recovery from major illness. Polysomnography is a gold standard for measuring sleep quality, but routine use is not practical. The goal of this study is to investigate the diagnostic accuracy of an alternative monitor, the Bispectral Index (BIS), for evaluating the quality of sleep-in postoperative patients in the intensive care unit (ICU).

Study design

An observational study.

Materials and methods

Patients admitted to postoperative ICU after elective major noncardiac surgery were monitored with both BIS and PSG during the first night. The temporally synchronized data from both monitors were obtained for measurement of the association. Clinical outcomes were compared between patients with different postoperative sleep quality.

Results

Thirty-three patients were enrolled in this study. For determining the average BIS index associated with good postoperative sleep quality, receiver operating characteristics (ROC) curve was generated. Area under the ROC curve (AUC) was 0.65. The cutoff with best discriminability was 75 with a sensitivity of 68% and a specificity of 56%. Compared with those with good and poor postoperative sleep quality, there were no differences in main postoperative outcomes including duration of mechanical ventilation and ICU stay. Although the quality of sleep after surgery of all subjects with postoperative delirium was poor, the incidence of delirium between the groups did not significantly differ (0% vs 10.3%; p = 0.184).

Conclusion

The monitoring of BIS is a viable tool for evaluating sleep quality in mechanically ventilated patients in the postoperative ICU with acceptable precision.

Trial registration

www.clinicaltrials.in.th, TCTR20200310005.

How to cite this article

Sirilaksanamanon P, Thawitsri T, Charuluxananan S, Chirakalwasan N. Diagnostic Value of the Bispectral Index to Assess Sleep Quality after Elective Surgery in Intensive Care Unit. Indian J Crit Care Med 2023;27(11):795-800.

Thirty-day mortality among patients with acute delirium in the emergency department

Purpose

The number of visits to the emergency department (ED) is growing among older patients. Older people are at risk of acute delirium, which is associated with mortality. Our primary objective was to determine the 30-day mortality outcome between older patients with and without acute delirium.

Methods

From August 2018 to October 2019, we conducted a prospective cohort study in the ED of a tertiary care and university hospital. Patients over the age of 65 years who presented to the ED were included in the study. Within the first 12 h after the ED visit, delirium was assessed by using the Thai version of the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU). We collected data on 30-day mortality, ED LOS, hospital length of stay (LOS), and the 30-day ED revisit rate.

Results

We enrolled 173 patients in this study; 49 (28%) patients had acute delirium according to the CAM-ICU. The overall 30-day mortality was 4% (7/173). Delirium had no effect on 30-day mortality (adjusted odds ratio [OR], 2.15; 95% confidence interval [CI], 0.37-12.55; P = 0.40). Delirium was not associated with hospital LOS (adjusted mean difference -18.83 h; 95% CI, -71.94-34.28; P = 0.49) and the 30-day ED revisit rate (adjusted OR, 1.55; 95% CI, 0.59-4.11; P = 0.37). However, an increasing trend in ED LOS was observed (adjusted mean difference 16.39 h; 95% CI, -0.160-32.96; P = 0.05).

Conclusions

We found insufficient evidence to establish an association between delirium and 30-day mortality, hospital LOS, or 30-day emergency department revisits.

Trial registration

The trial was retrospectively registered in the Thai Clinical Trial Registry, identification number TCTR2021082700 on August 27, 2021.

Long-term outcomes of delirium in critically ill surgical patients: A multicenter prospective cohort study

OBJECTIVE

To identify the mortality rates and dependency rate (functional outcomes) of delirious patients at 12-months after surgical intensive care unit (SICU) admission and to determine the independent risk factors of 12-months mortality and dependency rate in a cohort of SICU patients.

METHODS

A prospective, multi-center study was conducted in 3 university-based hospitals. Critically-ill surgical patients who were admitted to SICU and followed-up at 12-months after ICU admission were enrolled.

RESULTS

A total of 630 eligible patients were recruited. 170 patients (27%) had postoperative delirium (POD). The overall 12-months mortality rate in this cohort was 25.2%. Delirium group showed significantly higher mortality rates than non-delirium group at 12-months after ICU admission (44.1% vs 18.3%, P < 0.001). Independent risk factors of 12-months mortality were age, diabetes mellitus, preoperative dementia, high Sequential Organ Failure Assessment (SOFA) score and POD. POD was associated with 12-months mortality (adjusted hazard ratio, 1.49; 95% confidence interval 1.04-2.15; P = 0.032). The dependency rate defined as the Basic Activities Daily Living (B-ADL) ≤70 was 52%. Independent risk factors of B-ADL were age ≥ 75 years, cardiac disease, preoperative dementia, intraoperative hypotension, on mechanical ventilator and POD. POD was associated with dependency rate at 12-months. (adjusted risk ratio, 1.26; 95%CI 1.04-1.53; P = 0.018).

CONCLUSIONS

Postoperative delirium was an independent risk factor of death and was also associated with dependent state at 12 months after a surgical intensive care unit admission in critically ill surgical patients.

Reactivity to neural tissue epitopes, aquaporin 4 and heat shock protein 60 is associated with activated immune-inflammatory pathways and the onset of delirium following hip fracture surgery

OBJECTIVES

Activation of the immune-inflammatory response system (IRS) and a deficiency in the compensatory immunoregulatory system (CIRS), neuronal injuries, and alterations in the glutamate receptor (GlutaR), aquaporin-4 (AQP4) and heat shock protein 60 (HSP60) are involved in delirium. Increased serum levels of neurofilament protein (NFP), glial fibrillary acidic protein (GFAP) and myelin basic protein (MBP) are biomarkers of neuronal injury. This investigation delineates whether elevated IgA/IgG reactivity against those self-antigens is associated with delirium severity and IRS activation.

METHODS

We measured peak Delirium Rating Scale (DRS) scores on days 2 and 3 following surgery in 59 hip fractured older adults, and IgA and IgG antibody levels against MBP, NFP, GFAP and myelin oligodendrocyte glycoprotein (MOG), metabotropic glutamate receptors mGluRs 1 and 5, N-Methyl-D-Aspartate receptor (NMDAR) GLU₁ (NR₁) and GLU₂ (NR₂), APQ4 and HSP60.

RESULTS

The IgA antibody levels against those self-antigens, especially GFAP, MBP and HSP60, strongly predict peak DRS scores on days 2 and 3 post-surgery. IgA reactivity against NMDAR and baseline DRS scores explained 40.6% of the variance in peak DRS scores, while IgA against NMDAR, IgG against MBP and age explained 29.1% of the variance in the IRS/CIRS ratio. There was no correlation between DRS scores and IgG directed against other self-antigens.

CONCLUSIONS

Increased IgA levels against neuronal self-antigens, AQP4 and HSP60 are risk factors for delirium. Polyreactive antibody-associated breakdown of immune tolerance, IRS activation and injuries in the neuronal cytoskeleton, oligodendrocytes, astrocytes, glial cells, and myelin sheath are involved in the pathophysiology of delirium.

Risk factors for postoperative delirium in geriatric patients with hip fracture: A systematic review and meta-analysis

OBJECTIVES

This systematic review and meta-analysis was conducted to identify the potential risk factors for postoperative delirium in geriatric patients with hip fracture.

METHODS

PubMed, EMBASE, and Cochrane Library were searched from inception until December 31st, 2021. A combined searching strategy of subject words and free words was adopted. Studies involving risk factors for postoperative delirium in elderly patients undergoing hip fracture surgeries were reviewed. Qualities of included studies were assessed using the Newcastle-Ottawa Scale. Data were pooled and a meta-analysis was performed using Review Manager 5.3.

RESULTS

A total of 37 studies were included. The following risk factors were significant: advanced age (per year increase) (OR: 1.05, 95% CI 1.04-1.07), age>80 years (OR: 2.26, 95% CI 1.47-3.47), male (OR: 1.53, 95% CI 1.37-1.70), preoperative cognitive impairment (OR:3.20, 95% CI 2.12-4.83), preoperative dementia (OR: 2.74, 95% CI 2.18-3.45), preoperative delirium (OR: 9.23, 95% CI 8.26-10.32), diabetes (OR: 1.18, 95% CI 1.05-1.33), preoperative functional dependence (OR: 1.31, 95% CI 1.11-1.56), ASA level (per level increase) (OR: 1.63, 95% CI 1.04-2.57), ASA level≥3(OR: 1.76, 95% CI 1.39-2.24), low albumin (OR: 3.30, 95% CI 1.44-7.55), medical comorbidities (OR: 1.15, 95% CI 1.06-1.25), Parkinson's disease (OR: 4.17, 95% CI 1.68-10.31) and surgery delay>48 h (OR: 1.90, 95% CI 1.36-2.65).

CONCLUSIONS

Clinicians should be alert to patients with those risk factors. To identify the risk factors more precisely, more research studies with larger sample size and better design should be conducted.

Validation of a delirium predictive model in patients admitted to surgical intensive care units: a multicentre prospective observational cohort study

OBJECTIVE

To internally and externally validate a delirium predictive model for adult patients admitted to intensive care units (ICUs) following surgery.

DESIGN

A prospective, observational, multicentre study.

SETTING

Three university-affiliated teaching hospitals in Thailand.

PARTICIPANTS

Adults aged over 18 years were enrolled if they were admitted to a surgical ICU (SICU) and had the surgery within 7 days before SICU admission.

MAIN OUTCOME MEASURES

Postoperative delirium was assessed using the Thai version of the Confusion Assessment Method for the ICU. The assessments commenced on the first day after the patient's operation and continued for 7 days, or until either discharge from the ICU or the death of the patient. Validation was performed of the previously developed delirium predictive model: age+(5×SOFA)+(15×benzodiazepine use)+(20×DM)+(20×mechanical ventilation)+(20×modified IQCODE>3.42).

RESULTS

In all, 380 SICU patients were recruited. Internal validation on 150 patients with the mean age of 75±7.5 years resulted in an area under a receiver operating characteristic curve (AUROC) of 0.76 (0.683 to 0.837). External validation on 230 patients with the mean age of 57±17.3 years resulted in an AUROC of 0.85 (0.789 to 0.906). The AUROC of all validation cohorts was 0.83 (0.785 to 0.872). The optimum cut-off value to discriminate between a high and low probability of postoperative delirium in SICU patients was 115. This cut-off offered the highest value for Youden's index (0.50), the best AUROC, and the optimum values for sensitivity (78.9%) and specificity (70.9%).

CONCLUSIONS

The model developed by the previous study was able to predict the occurrence of postoperative delirium in critically ill surgical patients admitted to SICUs.

TRIAL REGISTRATION NUMBER

Thai Clinical Trail Registry (TCTR20180105001).

Delirium screening tools in the post-anaesthetic care unit: a systematic review and meta-analysis

BACKGROUND

Delirium is a serious neurocognitive disorder among surgical patients in the post-anaesthetic care unit (PACU). Despite the development of screening tools to identify delirium, it is not clear which tool is the most accurate and reliable in assessing delirium in the PACU.

AIM

To examine the diagnostic accuracy of delirium screening tools used in the PACU.

METHODS

A systematic literature search of CINAHL, MEDLINE, Embase, PsycINFO and Scopus was conducted, using MeSH terms and relevant keywords, from databases establishment to 23 April 2021. Studies were assessed for methodological quality using the Standards for Reporting of Diagnostic Accuracy Studies (STARD) tool.

RESULTS

A total of 1503 studies were screened from the database search, four studies met the inclusion criteria for this review. Six delirium screening tools used in the PACU were identified in the selected studies. Three studies evaluated screening tools in adult surgical patients without cognitive impairment and dementia. Two studies evaluated screening tools among patients who were scheduled for elective surgery. Review results indicated that two tools, the 4A's test (4AT; sensitivity 96%; specificity 99%) and the 3 min diagnostic interview for the Confusion Assessment Method (3D-CAM; sensitivity 100%; specificity 88%), had greatest validity and reliability as a screening tool for detecting delirium in the PACU.

CONCLUSION

Results indicate the 4AT and the 3D-CAM are most accurate screening tools to detect delirium in the PACU. Further research is required to validate those tools among a broader surgical population, including patients with cognitive impairment, dementia and those undergoing emergency surgical procedures.

Delirium due to hip fracture is associated with activated immune-inflammatory pathways and a reduction in negative immunoregulatory mechanisms

BACKGROUND

The objectives of this study were to delineate whether delirium in older adults is associated with activation of the immune-inflammatory response system (IRS) as indicated by activation of M1, T helper (Th)1, and Th17 profiles, and/or by reduced activities of the compensatory immunoregulatory system (CIRS), including Th2 and T regulatory profiles.

METHODS

We recruited 65 older adult patients with a low energy impact hip fracture who underwent hip fracture operation. The CAM-ICU and the Delirium Rating Scale, Revised-98-Thai version (DRS-R-98) were assessed pre-operatively and 1, 2 and 3 days after surgery. Blood samples (day 1 and 2) post-surgery were assayed for cytokines/chemokines using a MultiPlex assay and the neutrophil/lymphocyte ratio.

RESULTS

We found that delirium and/or the DRS-R-98 score were associated with IRS activation as indicated by activated M1, Th1, Th17 and T cell growth profiles and by attenuated CIRS functions. The most important IRS biomarkers were CXCL8, interleukin (IL)-6, and tumor necrosis factor-α, and the most important CIRS biomarkers were IL-4 and soluble IL-1 receptor antagonist. We found that 42.5% of the variance in the actual changes in the DRS-R-98 score (averaged from day 1 to day 3) was explained by T cell growth factors, baseline DRS-R-98 scores and age. An increase in the NLR reflects overall IRS, M1, Th1, Th17, and Th2 activation.

CONCLUSIONS

Post-hip surgery delirium is associated with activated IRS pathways and appears especially in patients with lowered CIRS functions.

Postoperative cognitive dysfunction in older surgical patients associated with increased healthcare utilization: a prospective study from an upper-middle-income country

BACKGROUND

Perioperative neurocognitive disorder includes postoperative cognitive dysfunction (POCD) and postoperative delirium (POD). Concerning inconclusive consequences of POCD compared with POD, we explored the association between either POCD or POD and functional decline as well as healthcare utilization.

METHODS

Patients aged at least 60 years who underwent a major operation were enrolled. POCD was defined as a decrease in the Montreal Cognitive Assessment (MoCA) score (≥ 2) 1 week after surgery. Postoperative delirium (POD) was defined according to the criteria of the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5). The primary outcome was instrumental activities of daily living (IADLs) 3 months after discharge. Secondary outcomes were the length of stay (LOS), hospital cost, and factors that affected functional decline 3 months after surgery. The multivariate model, including potential confounding factors, namely age, gender, surgery type, and postoperative complications, was used to analyze possible factors that influenced a reduction in function, and the results were expressed by using adjusted relative risk (RR) and 95%CI.

RESULTS

Two hundred eighty-nine patients with a mean age of 72 years were enrolled. The incidence of POCD at 1 week was 28.5%. At their 3-month follow-ups, the patients with POCD were not associated with IADL decline. Nevertheless, patients with POCD were more likely to need a prolonged LOS (11 days [1, 46] vs. 8 days [2, 42]; P = 0.01), and incur higher hospital costs (8973.43 USD [3481.69, 11 763.74] vs. 5913.62 USD [332.43, 19 567.33]; P < 0.001). Additionally, the patients experiencing POD demonstrated increased risks of reducing their IADLs (adjusted RR 2.33; 95% CI, 1.15-4.71; P = 0.02).

CONCLUSIONS

POCD at 1 week leaded to increase healthcare utilization in a middle-income country. POD during hospitalization was associated with a decline in function after surgery and increased health care utilization.

TRIAL REGISTRATION

Thai Clinical Trials Registry TCTR20190115001 .

The impact of physical medicine and rehabilitation consultation on clinical outcomes in the surgical intensive care unit: A prospective observational cohort study

The impact of a physical medicine and rehabilitation (PM&R) consultation on clinical outcomes in critically ill surgical patients remains unclear. The aim of this study is to examine whether the patients who received PM&R consultation will demonstrate better clinical outcomes in terms of the differences in clinical outcomes including muscle mass and strength, intensive care unit (ICU) length of stay (LOS) and functional outcomes between the PM&R consultation and no PM&R consultation and between early PM&R consultation and late PM&R consultation in critically ill surgical patients.A prospective observational cohort study was undergone in 65-year-old or older patients who were admitted > 24 hours in the surgical intensive care unit (SICU) in a tertiary care hospital. Data collection included patients' characteristic, muscle mass and muscle strength, and clinical outcomes.Ninety surgical patients were enrolled and PM&R was consulted in 37 patients (36.7%). There was no significant difference in muscle mass and function between consulted and no consulted groups. PM&R consulted group showed worse in clinical outcomes including functional outcomes at hospital discharge, longer duration of mechanical ventilation, ICU, and hospital LOS as compared with no PM&R consulted group. The median time of rehabilitation consultation was 6 days and there were no significant differences in clinical outcomes between early (≤ 6 days) and late (> 6 days) consultation.PM&R consultation did not improve muscle mass, functional outcomes at hospital discharge, and ICU LOS in critically ill surgical patients. The key to success might include the PM&R consultation with both intensified physical therapy and early start of mobilization or the rigid mobilization protocol.

Immune, Blood Cell, and Blood Gas Biomarkers of Delirium in Elderly Individuals with Hip Fracture Surgery

BACKGROUND

Postoperative delirium in elderly people with hip fracture is associated with various adverse clinical outcomes. Nevertheless, the pathophysiological processes underpinning delirium have remained elusive.

OBJECTIVES

The aim of this study was to explore the associations between delirium and its features and immune-inflammatory and blood gas biomarkers.

METHODS

In this prospective study, we examined 65 patients who underwent a hip fracture surgery and assessed the Confusion Assessment Method for the Intensive Care Unit, Richmond Agitation-Sedation Scale (RASS), and Delirium Rating Scale Revised-98 (DRS-R-98) before and during 4 days after the surgery. Complete blood count and venous blood gas markers were obtained at the same time points.

RESULTS

Delirium was observed in 19 patients and was accompanied by significantly increased pO2, number of white blood cells, neutrophil percentage, and neutrophil/lymphocyte ratio, and lower mean platelet volume (MPV) after adjusting for age, central nervous system (CNS) disease, blood loss during surgery, sleep disorders, and body mass index. The severity of delirium was associated with lowered number of platelets and MPV. Psychomotor disorders were associated with lower bicarbonate levels. The requirement of physical restraint of the patients was predicted by increased percentages of neutrophils and lymphocytes. Prior CNS disease was together with these biomarkers a significant predictor of delirium and severity of delirium.

CONCLUSION

Delirium and psychomotor disorders following hip fracture and surgery may be caused by immune-inflammatory and oxidative stress pathways probably attributable to an aseptic inflammatory process.

Risk factors and adverse clinical outcomes of postoperative delirium in Thai elderly patients: A prospective cohort study

PURPOSE

To determine the incidence, risk factors, and adverse clinical outcomes of postoperative delirium (POD) in elderly patients.

DESIGN AND METHODS

A total of 429 patients scheduled to undergo noncardiac surgery were recruited. Delirium was assessed using the confusion assessment method.

FINDINGS

The incidence of POD was 5.4%. Risk factors of POD were age over 70 years, an American Society of Anesthesiologist physical status 2 and 3, cognitive impairment, history of psychiatric illness, and preoperative hemoglobin ≤ 10 g/dl.

PRACTICE IMPLICATIONS

The correction of modifiable risk factors, the use of preventive strategies, and the monitoring of POD are advisable to improve the quality of perioperative care.

Diagnostic accuracy of the CAM-ICU and ICDSC in detecting intensive care unit delirium: A bivariate meta-analysis

BACKGROUND

Delirium is a critical and highly prevalent problem among critically ill patients. The Confusion Assessment Method for the Intensive Care Unit (CAM-ICU) and the Intensive Care Delirium Screening Checklist (ICDSC) are the most recommended assessment tools for detecting intensive care unit (ICU) delirium.

OBJECTIVES

To synthesize the current evidence and compared the diagnostic accuracy of the two tools in the detection of delirium in adults in ICUs.

DESIGN

Systematic review and meta-analysis.

DATA SOURCE

A comprehensive search of the following electronic databases was performed using PubMed, Embase, CINAHL and ProQuest Dissertations and Theses A&I. The date range searched was from database inception to April 26, 2019.

REVIEW METHODS

Two researchers independently identified articles, systematically abstracted data and evaluated the sensitivity and specificity of the CAM-ICU or the ICDSC against standard references. Bivariate diagnostic statistical analysis with a random-effects model was performed to summarize the pooled sensitivity and specificity of the two tools.

RESULTS

In total, 29 CAM-ICU and 12 ICDSC studies were identified. The pooled sensitivity was 0.84 and 0.83 and pooled specificity was 0.95 and 0.87 for the CAM-ICU and the ICDSC, respectively. The CAM-ICU had higher summary specificity than the ICDSC did (p = 0.04). The percentage of hypoactive delirium, ICU type, use of mechanical ventilation, number of participants, and female percentage moderated the accuracy of the tools. Most of the domains of patient selection, index test, reference standards, and flow and timing were rated as having a low or unclear risk of bias.

CONCLUSIONS

Although both the CAM-ICU and the ICDSC are accurate assessment tools for screening delirium in critically ill patients, the CAM-ICU is superior in ruling out patients without ICU delirium and detecting delirium in patients in the medical ICU and those receiving mechanical ventilation. Further investigations are warranted to validate our findings. The study protocol is registered at PROSPERO (CRD42020133544).

Diagnostic Performance of Delirium Assessment Tools in Critically Ill Patients: A Systematic Review and Meta-Analysis

BACKGROUND

Critical care nurses are in the best position to detect and monitor delirium in critically ill patients. Therefore, an optimum delirium assessment tool with strong evidence should be identified with critical care nurses to perform in the daily assessment.

AIM

To evaluate and compare the diagnostic performance of delirium assessment tools in diagnosing delirium in critically ill patients.

METHODS

We searched five electronic databases including the Cochrane Library, PubMed, Embase, CINAHL, and a Chinese database for eligible diagnostic studies published in English or Mandarin up to December 2018. This diagnostic test accuracy meta-analysis was limited to studies in intensive care unit (ICU) settings, using the Diagnostic and Statistical Manual of Mental Disorders (DSM) as a standard reference to test the accuracy of delirium assessment tools. Eligible studies were critically appraised by two investigators independently. The summary of evidence was conducted for pooling and comparing diagnostic accuracy by a bivariate random effects meta-analysis model. The pooled sensitivities and specificities, summary receiver operating characteristic curve (sROC), the area under the curve (AUC), and diagnostic odds ratio (DOR) were calculated and plotted. The possibility of publication bias was assessed by Deeks' funnel plot.

DATA SYNTHESIS

We identified and evaluated 23 and 8 articles focused on CAM-ICU and ICDSC, respectively. The summary sensitivities of 0.85 and 0.87, and summary specificities of 0.95 and 0.91 were found for CAM-ICU and ICDSC, respectively. The AUC of the CAM-ICU was 0.96 (95% CI, 0.94-0.98), with DOR at 99 (95% CI, 55-177). The AUC of the ICDSC was 0.95 (95% CI, 0.92-0.96), and the DOR was 65 (95% CI, 27-153).

LINKING EVIDENCE TO ACTION

CAM-ICU demonstrated higher diagnostic test accuracy and is recommended as the optimal delirium assessment tool. However, the results should be interpreted with caution due to the between-study heterogeneity of this diagnostic test accuracy meta-analysis.

A Tunisian version of the confusion assessment method for the intensive care unit (CAM-ICU): translation and validation

BACKGROUND

Delirium is common in critically ill patients and it is associated with poor outcomes. In Tunisia, however, it is still underdiagnosed as there is no validated screening tool. The aim of this study was to translate and to validate a Tunisian version of the CAM-ICU.

METHODS

For the validation and inter-rater reliability assessment of the Tunisian CAM-ICU, two trained intensivists independently evaluated delirium in the patients admitted to the ICU between October 2017 and June 2018. All the patients consecutively admitted to the ICU for more than 24 h and having a Richmond Agitation-Sedation Scale greater than or equal to "-3" were assessed for delirium excluding those with stroke, dementia, psychosis or persistent coma. The results were compared with the reference evaluation carried out by a psychiatrist using the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-V) criteria. The inter-rater reliability was calculated using the kappa (κ) statistic. The CAM-ICU concurrent validity was assessed using Cronbach's α coefficient, sensitivity, specificity as well as positive and negative predictive values (PPV and NPV, respectively) for the two Tunisian CAM-ICU raters.

RESULTS

The study involved 137 patients [median (IQR) age: 60 [49-68] years, male sex (n = 102), invasive mechanical ventilation (n = 49)]. Using the DSM-V criteria evaluations, 46 patients were diagnosed with delirium. When applying the Tunisian version of the CAM-ICU, 38(27.7%) patients were diagnosed with delirium for the first rater and 45(32.6%) patients for the second one. The Tunisian CAM-ICU showed a very-high inter-rater reliability for both intensivists (κ = 0.844, p < 0.001). Using the DSM-V rater as the reference standard, the sensitivity of the two intensivists' evaluations was 80.4 vs. 95.7%. Specificity was 98.9% for both. The Cronbach's α of the first and second raters' evaluations using the Tunisian version of the CAM-ICU were 0.886 and 0.887, respectively.

CONCLUSIONS

The Tunisian version of the CAM-ICU showed almost perfect validity and reliability in detecting delirium in critically ill patients. It could therefore be used in Tunisian ICUs or where Tunisian translators are available following appropriate training.

TRIAL REGISTRATION

Not applicable.

The Validity and Reliability of the Japanese Version of the Cornell Assessment of Pediatric Delirium

OBJECTIVES

To examine validity and reliability of the Japanese version of the Cornell Assessment of Pediatric Delirium.

DESIGN

Prospective double-blinded observational cohort study.

SETTING

Eight-bed mixed PICU (post-surgical and internal medicine) from May 2017 to June 2018.

PATIENTS

All children between the ages of 0-13 years who were admitted to the PICU for at least 24 hours were eligible for inclusion, as long as the child was arousable to verbal stimulation.

INTERVENTIONS

Two nurses simultaneously and independently assessed each patient for pediatric delirium with the Japanese version of the Cornell Assessment of Pediatric Delirium; this was compared to the gold standard of psychiatric diagnosis based on Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition standards.

MEASUREMENTS AND MAIN RESULTS

Forty-one children were enrolled and 92 assessments (ranging from one to four per subject) were completed. Congenital heart disease patients accounted for 73 enrollees (79%). Forty-three percent of observations were performed in children on invasive mechanical ventilation. Pediatric delirium prevalence (as determined by psychiatric diagnosis) was 53%. The Japanese version of the Cornell Assessment of Pediatric Delirium demonstrated an optimal scoring cutpoint of 9. Overall, area under the curve was 92%, sensitivity 90% (95% CI, 79-97%), specificity 88% (95% CI, 75-96%), positive predictive value of 90% (95% CI, 79-97%), negative predictive value of 91% (95% CI, 80-97%), and a Cohen's κ of 0.89 (95% CI, 0.8-0.98). In children on invasive mechanical ventilation, the Japanese version of the Cornell Assessment of Pediatric Delirium maintained an area under the curve 87%, sensitivity 97%, and specificity 64%.

CONCLUSIONS

The Japanese version of the Cornell Assessment of Pediatric Delirium is a valid and reliable tool for use in Japanese PICUs. This will allow for detection of delirium in real-time and may lead to better identification of the population and risk factors for appropriate management and therapeutic and preventative interventions.

Validity and Reliability of the Brazilian Portuguese Version of the Pediatric Confusion Assessment Method for the ICU

OBJECTIVES

To determine the validity and reliability of the Brazilian Portuguese version of the Pediatric Confusion Assessment Method for the ICU for diagnosing delirium in patients with chronological and developmental ages from 5 to 17 years in Brazilian PICUs.

DESIGN

Prospective, cross-sectional study.

SETTINGS

Eight Brazilian PICUs (seven in Rio de Janeiro and one in São Paulo).

PATIENTS

One-hundred sixteen patients, 5-17 years old, without developmental delay, submitted to mechanical ventilation or not.

INTERVENTIONS

To assess the inter-observer reliability, two previously trained researchers concomitantly applied the Brazilian Portuguese version of the Pediatric Confusion Assessment Method for the ICU and independently rated the same patient. To assess the criterion validity, a pediatric neurologist or psychiatrist, blinded to the Brazilian Portuguese version of the Pediatric Confusion Assessment Method for the ICU assessments, evaluated the same patient within 30 minutes, using the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, considered the reference standard.

MEASUREMENTS AND MAIN RESULTS

One-hundred forty-nine paired assessments were included (some patients had more than one). Delirium was diagnosed in 11 of 149 assessments (7%), or eight of 116 patients (7%), using both the Brazilian Portuguese version of the Pediatric Confusion Assessment Method for the ICU and the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition. There was one false positive and one false negative diagnosis, which resulted in 90.9% sensitivity (95% CI, 58.7-99.8%) and 99.3% specificity (95% CI, 96-100%) for the Brazilian Portuguese version of the Pediatric Confusion Assessment Method for the ICU. The inter-rater reliability was considered almost perfect (κ = 1.0).

CONCLUSIONS

The Brazilian Portuguese version of the Pediatric Confusion Assessment Method for the ICU is a valid and reliable tool for diagnosing delirium in pediatric patients 5-17 years old who are spontaneously breathing and not pharmacologically sedated in Brazilian PICUs. The implementation of this tool may be useful to reduce underdiagnosis, ensure monitoring and earlier intervention, provide a better prognosis, and improve research on delirium in this age group in Brazil. Further studies are necessary to test the psychometric properties of the Brazilian Portuguese version of the Pediatric Confusion Assessment Method for the ICU in sedated and mechanically ventilated children.

Role of perceived stress in postoperative delirium: an investigation among elderly patients

Objectives: This study examined levels of perceived stress (PS), postoperative delirium (POD) and associated factors among Thai elderly patients undergoing elective noncardiac surgery.Background and aims: Preoperative PS and change after operation have not been widely studied. Moreover, psychological factors associated with PS and POD has been poorly investigated.Materials and Methods: In total, 429 elderly patients were recruited at a university hospital. The preoperative evaluation included sociodemographic data, health behaviors at risk, Perceived Stress Scale (PSS-10), Neuroticism Inventory (NI), Mental State Examination T10 (MSET10), Montreal Cognitive Assessment (MoCA) and Geriatric Depression Scale (GDS-15). Three-day postoperative evaluation included PSS-10 and Confusion Assessment Method Algorithm (CAM) or CAM-ICU for Delirium. Multiple regression and logistic regression analysis were performed to determine potential predictors.Results: Females were 58.97%, and the mean age was 69.93 ± 6.87 years. Mean pre- and postoperative PS were 12.77 ± 5.41 and 13.39 ± 5.26, respectively (P < 0.05). Multiple regression revealed that neuroticism, depression, and BMI predicted PS significantly. None of the independent variables was found to predict postoperative PS except for preoperative PS (p <.001). POD at the recovery room was predicted by preoperative PS (odds ratio = 1.181, 95% CI = 1.019-1.369), whereas overall POD was predicted by MoCA (odds ratio = .864, 95% CI = .771 -.968).Conclusion: Preoperative PS was significant in that it was associated with postoperative PS and POD. A careful assessment of preoperative PS as well as providing brief interventions for patients with high levels of this condition may reduce the risk of POD.

The Association of Perioperative Serum Lactate Levels with Postoperative Delirium in Elderly Trauma Patients

Background

Several studies have shown the utility of lactate level as a predictor of early outcomes in trauma patients. We conducted this study to evaluate the association of perioperative serum lactate levels with postoperative delirium (POD) in elderly trauma patients.

Materials and Methods

This study included 466 elderly trauma patients with measurements of serum lactate levels on admission and 1 h after surgery. The associations of POD with serum lactate levels (on admission and 1 h after surgery) and lactate clearance were analyzed using Kendall's correlation. Perioperative serum lactate levels and lactate clearance as predictors of POD were evaluated using univariate and multivariable analyses.

Results

The incidence of POD in the present study was 38.1%. Serum lactate levels on admission and at 1 h after surgery were significantly higher in major trauma than in minor trauma. In univariate analysis of perioperative serum lactate levels and lactate clearance as predictors of POD, the odds ratio (OR) for serum lactate level on admission was 4.19 (P < 0.01, 2.91 < 95% confidence interval (CI) < 6.02) and that 1 h after surgery was 3.83 (P < 0.01, 2.79 < 95% CI < 5.25); however, the OR for serum change of lactate level was 0.99 ((P < 0.09, 0.99 < 95% CI < 1.00). In multivariable analysis for predictors of POD, the OR for serum lactate level on admission was 2.40 (P < 0.09, 0.87 < 95% CI < 6.7), that for serum lactate 1 h after surgery was 2.83 (P=0.01, 1.28 < 95% CI < 6.24), that for ICU admission was 3.01 (P=0.01, 2.09 < 95% CI < 6.03), and that for ISS was 1.47 (P < 0.01, 1.27 < 95% CI < 3.70).

Conclusions

Taking together the results of univariate and multivariable analyses, serum lactate level 1 h after surgery may be used as a prediction model of POD development in elderly trauma patients.

Validity and Reliability of the Memorial Delirium Assessment Scale-Thai Version (MDAS-T) for Assessment of Delirium in Palliative Care Patients

Background

Delirium, a neuropsychiatric syndrome that occurs throughout medical illness trajectories, is frequently misdiagnosed. The Memorial Delirium Assessment Scale (MDAS) is a commonly used tool in palliative care (PC) settings. Our objective was to establish and validate the Memorial Delirium Assessment Scale‐Thai version (MDAS‐T) in PC patients.

Materials and Methods

The MDAS was translated into Thai. Content validity, inter‐rater reliability, and internal consistency were explored. The construct validity of the MDAS‐T was analyzed using exploratory factor analysis. Instrument testing of the MDAS‐T, the Thai version of the Confusion Assessment Method for the Intensive Care Unit (CAM‐ICU‐T), and the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition as the gold standard was performed. The receiver operating characteristic (ROC) curve was used to determine the optimal cutoff score. The duration of each assessment was recorded.

Results

The study enrolled 194 patients. The content validity index was 0.97. The intraclass correlation coefficient and Cronbach's α coefficient were 0.98 and 0.96, respectively. A principal component analysis indicated a homogeneous, one‐factor structure. The area under the ROC curve was 0.96 (95% confidence interval [CI], 0.93–0.99). The best combination of sensitivity and specificity (95% CI) of the MDAS‐T were 0.92 (0.85–0.96) and 0.90 (0.82–0.94), respectively, with a cutoff score of 9, whereas the CAM‐ICU‐T yielded 0.58 (0.48–0.67) and 0.98 (0.93–0.99), respectively. The median MDAS‐T assessment time was 5 minutes.

Conclusion

This study established and validated the MDAS‐T as a good and feasible tool for delirium screening and severity rating in PC settings.

Implications for Practice

Delirium is prevalent in palliative care (PC) settings and causes distress to patients and families, thereby making delirium screening necessary. This study found that the MDAS‐T is a highly objective and feasible test for delirium screening and severity monitoring in PC settings and can greatly improve the quality of care for this population.

Delirium is often misdiagnosed. This article reports on the value of assessment tools for diagnosis of delirium, in particular the Memorial Delirium Assessment Scale, which was translated into Thai for purposes of this study.

Arabic intensive care delirium screening checklist's validity and reliability: A multicenter study

PURPOSE

To develop an Arabic version of Intensive Care Delirium Screening Checklist (ICDSC) and assess its validity and reliability among critically ill patients.

MATERIALS AND METHODS

Multicentered study of convenience sample of adult ICU patients. Arabic translation was performed with rigorous back-to-back translation methods. Concurrent validity was established by calculating the sensitivity and specificity of two examiner assessments compared to a psychiatric evaluation. Kappa coefficients describe interrater reliability, whereas Cronbach α and composite reliability depict internal consistency.

RESULTS

Three hundred critically ill patients were enrolled. Of these, validity testing was assessed in 180 patients. ICDSC screening was positive for delirium in 11% of enrolled patients. The area under the receiver operator characteristic (ROC) curve is 0.9413, with predicted sensitivity 70% (95% confidence interval [CI]: 60-81%) and specificity 99% (95% CI: 98-100%). The Arabic ICDSC showed acceptable internal consistency (Cronbach α = 0.63 and composite reliability = 0.64). Interrater agreement was excellent (Kappa coefficient [ҡ] = 0.85).

CONCLUSIONS

Arabic ICDSC is a valid and reliable delirium-screening tool among Arabic-speaking ICU population. Future studies could address whether these findings are generalizable to a higher proportion of mechanically ventilated patients, and address acceptability and reliability in other Arabic language critical care settings.

Postoperative delirium in critically ill surgical patients: incidence, risk factors, and predictive scores

BACKGROUND

A common postoperative complication found among patients who are critically ill is delirium, which has a high mortality rate. A predictive model is needed to identify high-risk patients in order to apply strategies which will prevent and/or reduce adverse outcomes.

OBJECTIVES

To identify the incidence of, and the risk factors for, postoperative delirium (POD) in surgical intensive care unit (SICU) patients, and to determine predictive scores for the development of POD.

METHODS

This study enrolled adults aged over 18 years who had undergone an operation within the preceding week and who had been admitted to a SICU for a period that was expected to be longer than 24 h. The CAM - ICU score was used to determine the occurrence of delirium.

RESULTS

Of the 250 patients enrolled, delirium was found in 61 (24.4%). The independent risk factors for delirium that were identified by a multivariate analysis comprised age, diabetes mellitus, severity of disease (SOFA score), perioperative use of benzodiazepine, and mechanical ventilation. A predictive score (age + (5 × SOFA) + (15 × Benzodiazepine use) + (20 × DM) + (20 × mechanical ventilation) + (20 × modified IQCODE > 3.42)) was created. The area under the receiver operating characteristic (ROC) curve (AUC) was 0.84 (95% CI: 0.786 to 0.897). The cut point of 125 demonstrated a sensitivity of 72.13% and a specificity of 80.95%, and the hospital mortality rate was significantly greater among the delirious than the non-delirious patients (25% vs. 6%, p < 0.01).

CONCLUSIONS

POD was experienced postoperatively by a quarter of the surgical patients who were critically ill. A risk score utilizing 6 variables was able to predict which patients would develop POD. The identification of high-risk patients following SICU admission can provide a basis for intervention strategies to improve outcomes.

TRIAL REGISTRATION

Thai Clinical Trials Registry TCTR20181204006 . Date registered on December 4, 2018. Retrospectively registered.

Association between age-related factors and extubation failure in elderly patients

BACKGROUND

Elderly patients are being increasingly admitted to the intensive care unit (ICU) for mechanical ventilation. Previous studies demonstrated that 20% to 35% of elderly patients were reintubated within 48 to 72 hours after extubation. Given the age-related physiologic changes and multiple comorbidities in elderly patients, the current conventional parameters for predicting extubation outcomes may not be applicable to this population. This study was performed to identify the association between age-related parameters and extubation failure in elderly patients.

METHODS

Intubated elderly patients (age of ≥60 years) admitted to the medical ICU of a university-based hospital from October 2014 to July 2015 were included. Failed extubation was defined as reintubation within 48 hours after the first extubation. The associations of extubation failure with demographic data, vital signs, cognition and anxiety, and ventilator parameters at the time of intubation and extubation were analyzed.

RESULTS

In total, 127 intubated elderly patients were recruited. Extubation failure occurred in 15 patients (11.8%). Patients with failed extubation had a lower body temperature (37.0°C vs. 37.3°C, P < 0.05) but a higher Facial Anxiety Scale (FAS) score than those with successful extubation (3 vs. 2, P < 0.05). Patients with extubation failure had significantly higher levels of blood urea nitrogen (BUN) (39.88 vs. 58.47 g/dL), serum sodium (137.66 vs. 141.47 mmol/L), and serum calcium (9.52 vs. 10.0 g/dL) but a wider anion gap (12.23 vs. 9.97), but no significant differences in respiratory parameters were found between the two groups. Multiple logistic regression revealed no independent factors associated with successful extubation.

CONCLUSION

This study revealed no strong predictive factors. However, several physiological parameters (lower body temperature and higher FAS scores) and metabolic parameters (BUN, sodium, calcium, and anion gap) were significantly associated with the rate of extubation failure.

Processed electroencephalogram and evoked potential techniques for amelioration of postoperative delirium and cognitive dysfunction following non-cardiac and non-neurosurgical procedures in adults

BACKGROUND

Postoperative delirium (POD) and postoperative cognitive dysfunction (POCD) may complicate a patient's postoperative recovery in several ways. Monitoring of processed electroencephalogram (EEG) or evoked potential (EP) indices may prevent or minimize POD and POCD, probably through optimization of anaesthetic doses.

OBJECTIVES

To assess whether the use of processed EEG or auditory evoked potential (AEP) indices (bispectral index (BIS), narcotrend index, cerebral state index, state entropy and response entropy, patient state index, index of consciousness, A-line autoregressive index, and auditory evoked potentials (AEP index)) as guides to anaesthetic delivery can reduce the risk of POD and POCD in non-cardiac surgical or non-neurosurgical adult patients undergoing general anaesthesia compared with standard practice where only clinical signs are used.

SEARCH METHODS

We searched CENTRAL, MEDLINE, Embase and clinical trial registry databases up to 28 March 2017. We updated this search in February 2018, but these results have not been incorporated in the review.

SELECTION CRITERIA

We included randomized or quasi-randomized controlled trials comparing any method of processed EEG or evoked potential techniques (entropy, BIS, AEP etc.) against a control group where clinical signs were used to guide doses of anaesthetics in adults aged 18 years or over undergoing general anaesthesia for non-cardiac or non-neurosurgical elective operations.

DATA COLLECTION AND ANALYSIS

We used the standard methodological procedures expected by Cochrane. Our primary outcomes were: occurrence of POD; and occurrence of POCD. Secondary outcomes included: all-cause mortality; any postoperative complications; and postoperative length of stay. We used GRADE to assess the quality of evidence for each outcome.

MAIN RESULTS

We included six randomized controlled trials (RCTs) with 2929 participants comparing processed EEG or EP indices-guided anaesthesia with clinical signs-guided anaesthesia. There are five ongoing studies and one study awaiting classification.Anaesthesia administration guided by the indices from a processed EEG (bispectral index) probably reduces the risk of POD within seven days after surgery with risk ratio (RR) of 0.71 (95% CI 0.59 to 0.85; number needed to treat for an additional beneficial outcome (NNTB) of 17, 95% CI 11 to 34; 2197 participants; 3 RCTs; moderate quality of evidence). Three trials also showed the lower rate of POCD at 12 weeks after surgery (RR 0.71, 95% CI 0.53 to 0.96; NNTB 38, 95% CI 21 to 289; 2051 participants; moderate-quality evidence), but it is uncertain whether processed EEG indices reduce POCD at one week (RR 0.84, 95% CI 0.69 to 1.02; 3 trials; 1989 participants; moderate-quality evidence), and at 52 weeks (RR 0.30, 95% CI 0.05 to 1.80; 1 trial; 59 participants; very low quality of evidence). There may be little or no effect on all-cause mortality (RR 1.01, 95% CI 0.62 to 1.64; 1 trial; 1155 participants; low-quality evidence). One trial suggested a lower risk of any postoperative complications with processed EEG (RR 0.51, 95% CI 0.37 to 0.71; 902 participants, moderate-quality evidence). There may be little or no effect on reduced postoperative length of stay (mean difference -0.2 days, 95% CI -2.02 to 1.62; 1155 participants; low-quality evidence).

AUTHORS' CONCLUSIONS

There is moderate-quality evidence that optimized anaesthesia guided by processed EEG indices could reduce the risk of postoperative delirium in patients aged 60 years or over undergoing non-cardiac surgical and non-neurosurgical procedures. We found moderate-quality evidence that postoperative cognitive dysfunction at three months could be reduced in these patients. The effect on POCD at one week and over one year after surgery is uncertain. There are no data available for patients under 60 years. Further blinded randomized controlled trials are needed to elucidate strategies for the amelioration of postoperative delirium and postoperative cognitive dysfunction, and their consequences such as dementia (including Alzheimer's disease (AD)) in both non-elderly (below 60 years) and elderly (60 years or over) adult patients. The one study awaiting classification and five ongoing studies may alter the conclusions of the review once assessed.

Psychometric properties of the Arabic version of the confusion assessment method for the intensive care unit (CAM-ICU)

BACKGROUND

It is recommended that critically ill patients undergo routine delirium monitoring with a valid and reliable tool such as the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU). However, the validity and reliability of the Arabic version of the CAM-ICU has not been investigated. Here, we test the validity and reliability of the Arabic CAM-ICU.

METHODS

We conducted a psychometric study at ICUs in a tertiary-care hospital in Saudi Arabia. We recruited consecutive adult Arabic-speaking patients, who had stayed in the ICU for at least 24 hours, and had a Richmond Agitation-Sedation Scale (RASS) score ≥ - 2 at examination. Two well-trained examiners (ICU nurse and intensivist) independently assessed delirium in eligible patients with the Arabic CAM-ICU. Evaluations by the two examiners were compared with psychiatrist blind clinical assessment of delirium according to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5). Subgroup analyses were conducted for age, invasive mechanical ventilation, and gender.

RESULTS

We included 108 patients (mean age: 62.6 ± 17.6; male: 51.9%), of whom 37% were on invasive mechanical ventilation. Delirium was diagnosed in 63% of enrolled patients as per the psychiatrist clinical assessment. The Arabic CAM-ICU sensitivity was 74% (95% confidence interval [CI] = 0.63-0.84) and 56% (95%CI = 0.44-0.68) for the ICU nurse and intensivist, respectively. Specificity was 98% (95%CI = 0.93-1.0) and 92% (95%CI = 0.84-1.0), respectively. Sensitivity was greater for mechanically-ventilated patients, women, and those aged ≥65 years. Specificity was greater for those aged < 65 years, non-mechanically-ventilated patients and men. The median duration to complete the Arabic CAM-ICU was 2 min (interquartile range, 2-3) and 4.5 min (IQR, 3-5) for the ICU nurse and intensivist, respectively. Inter-rater reliability (kappa) was 0.66.

CONCLUSIONS

The Arabic CAM-ICU demonstrated acceptable reliability and validity to assess delirium in Arabic-speaking ICU patients.

Delirium Assessment Tools for Use in Critically Ill Adults: A Psychometric Analysis and Systematic Review

BACKGROUND

Delirium is highly prevalent in critically ill patients. Its detection with valid tools is crucial.

OBJECTIVE

To analyze the development and psychometric properties of delirium assessment tools for critically ill adults.

METHODS

Databases were searched to identify relevant studies. Inclusion criteria were English language, publication before January 2015, 30 or more patients, and patient population of critically ill adults (>18 years old). Search terms were delirium, scales, critically ill patients, adult, validity, and reliability. Thirty-six manuscripts were identified, encompassing 5 delirium assessment tools (Confusion Assessment Method for the Intensive Care Unit (CAM-ICU), Cognitive Test for Delirium, Delirium Detection Score, Intensive Care Delirium Screening Checklist (ICDSC), and Nursing Delirium Screening Scale). Two independent reviewers analyzed the psychometric properties of these tools by using a standardized scoring system (range, 0-20) to assess the tool development process, reliability, validity, feasibility, and implementation of each tool.

RESULTS

Psychometric properties were very good for the CAM-ICU (19.6) and the ICDSC (19.2), moderate for the Nursing Delirium Screening Scale (13.6), low for the Delirium Detection Score (11.2), and very low for the Cognitive Test for Delirium (8.2).

CONCLUSIONS

The results indicate that the CAM-ICU and the ICDSC are the most valid and reliable delirium assessment tools for critically ill adults. Additional studies are needed to further validate these tools in critically ill patients with neurological disorders and those at various levels of sedation or consciousness.

The validity and reliability of the Arabic version of the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU): A prospective cohort study

BACKGROUND

Accurate diagnosis for Arabic speaking critically ill patients suffering from delirium is limited by the need for a valid/reliable translation of a standardized delirium instrument such as the Confusion Assessment Method for the ICU (CAM-ICU).

OBJECTIVE

To determine the validity and reliability of the Arabic version of the CAM-ICU.

DESIGN

A prospective cohort study design was used to conduct the current study.

SETTINGS

Data collection took place in Geriatric, Emergency and Surgical intensive care units.

PARTICIPANTS

Fifty-eight adult patients met the inclusion criteria and participated in the study. Among the participants 22(38%) patients were on mechanical ventilation.

METHODS

After translating the CAM-ICU into Arabic language, the Arabic CAM-ICU was administered by two well-trained critical care nurses and compared with reference standard assessments by delirium experts using the Diagnostic and Statistical Manual of Mental Disorders, 4th Edition, Text Revision (DSM -IV-TR), along with assessment of severity of illness using Sequential Organ Failure Assessment (SOFA). Concurrent validity was assessed by calculating sensitivity, specificity and positive and negative predictive value (PPV and NPV) for the two Arabic CAM-ICU raters, where calculations were based on considering the DSM-IV-TR criterion as the reference standard. The convergent validity of the Arabic CAM-ICU was explored by comparing the Arabic CAM-ICU ratings and the total score of SOFA (severity of illness) and MMSE (cognitive impairment).

RESULTS

A total of 58 ICU patients were included, of whom 27 (47%) were diagnosed with delirium during their ICU stay via DSM-IV criteria. Interrater reliability for the Arabic CAM-ICU, overall and for mechanically ventilated patients assessed using Cohen's kappa (κ) were 0.82 and 1, respectively, p < 0.001. The sensitivities (95% CI) for the two critical care nurses when using the Arabic CAM-ICU compared with the reference standard were 81% (60%-93%) and 85% (65%-95%), respectively, whereas specificity (95% CI) was 81%(62%-92%) for both nurses. High sensitivity and specificity measures were also observed across subgroups; 100% for mechanically ventilated patients, 88% (60%-98%) and 79% (49%-94%) for those aged 65 years or older and 82% (56%-95%) and 75% (43%-93%) for those with SOFA scores at or above the median value.

CONCLUSIONS

The Arabic CAM-ICU appeared to be valid and reliable tool for diagnosing delirium. Future investigations may lead to a better understanding of the prevalence, predictors, and consequences of delirium among critically ill Arabic speaking patients.

Impact of pharmaceutical care on pain and agitation in a medical intensive care unit in Thailand

Background Currently, a lack of pharmaceutical care exists concerning pain and agitation in medical intensive care units (MICU) in Thailand. Pharmaceutical care focusing on analgesics/sedatives would improve clinical outcomes. Objective To investigate the impact of pharmaceutical care of pain and agitation on ICU length of stay (LOS), hospital LOS, ventilator days and mortality. Setting The MICU of a university hospital. Method A before/after study was conducted on mechanically ventilated patients receiving analgesics/sedatives. Medical chart reviews and data collection were conducted in the retrospective group (no pharmacists involved). In the prospective group, pharmacists involved with the critical care team helped select analgesics/sedatives for individual patients. Main outcome measure ICU LOS Results In total, 90 and 66 patients were enrolled in retrospective and prospective groups, respectively. The median duration of ICU LOS was reduced from 10.00 (2.00-72.00) in the retrospective group to 6.50 days (2.00-30.00) in the prospective group (p = 0.002). The median hospital stay was reduced from 30.50 days (2.00-119.00) in the retrospective group to 17.50 days (2.00-110.00) in the prospective group (p < 0.001). Also, the median ventilator days was reduced from 14.00 days (2.00-90.00) to 8.50 days (1.00-45.00), p = 0.008. Mortality was 53.03% in the prospective group and 46.67% in the retrospective group (p = 0.432). Conclusion Pharmacist participation in a critical care team resulted in a significant reduction in the duration of ICU LOS, hospital LOS and ventilator days, but not mortality.

Psychometric properties and feasibility of instruments for the detection of delirium in older hospitalized patients: a systematic review

OBJECTIVE

Delirium is a serious and common complication among older hospitalized patients and is a predictor of many adverse outcomes. However, up to 72% of delirium incidents are unrecognized or misdiagnosed. The aim of this systematic review is to determine the validity, reliability, and feasibility of instruments for the detection of delirium in older hospitalized patients.

METHODS

A systematic literature search was conducted. The inclusion criteria were a mean or median age of 65+ years, the use of the Diagnostic and Statistical Manual of Mental Disorders or International Classification of Diseases-10 as a reference standard, and publication in English. All included studies underwent a quality assessment (QUADAS-2).

RESULTS

Forty-three of the 3.790 identified studies were relevant to the review, describing 28 instruments. Quality assessment resulted in 37 studies with a positive quality assessment, describing 23 instruments. Five instruments (Delirium Observation Scale (DOS), Nursing Delirium Screening Scale (Nu-DESC), Confusion Assessment Method (CAM), CAM-Intensive Care Unit (ICU), and Delirium Rating Scale-Revised-98) were described in three or more methodologically sound studies. The Delirium Observation Screening Scale (DOS) and Nu-DESC are observational instruments with good psychometric properties, but the Nu-DESC is shorter and has been validated in more languages. The CAM, CAM-ICU, and Delirium Rating Scale-Revised-98 (DRS-R-98) are instruments with both observational and interactive components. The CAM is the most widely studied and demonstrates the best psychometric properties.

CONCLUSION

Timely detection of delirium might reduce the negative outcomes of delirium in the long term. The Nu-DESC and CAM appear to be the most adequate instruments for detecting delirium. Copyright © 2016 John Wiley & Sons, Ltd.

Delirium in critical care: a study of incidence, prevalence, and associated factors in the tertiary care hospital of older Thai adults

OBJECTIVES

Delirium is a common condition in older adults which can have devastating outcomes. The studies about delirium in intensive care units (ICU) are relatively rare compared to studies in the non-ICU setting. This study aimed to study the prevalence, incidence, and risk factors of delirium among older Thai adults in ICU.

METHOD

Participants were older patients who were admitted to the ICU of Srinagarind Medical School, KhonKaen, Thailand from May 2013 to August 2014. Baseline characteristics were collected. Delirium was rated by trained clinical researchers using the Confusion Assessment Method for the ICU (CAM-ICU). Demographic data were analyzed using descriptive statistics. Regression analyses were used to analyze the outcomes.

RESULTS

Delirium occurred in 44 of 99 patients (44.4%) with an incidence rate of 22.2% (22/99). The prevalence of delirium in mechanically ventilated patients was 62.5% (30/48). The majority of the patients had delirium within five days of ICU admission. Seven independent predisposing factors were identified using bivariate regressions: age, functional status, disease severity, having pneumonia, cognitive impairment, depression, or previous stroke. Numbers of additional drugs, bed changes, physical restraints, sleep deprivation, use of bladder catheters, and patients with mechanical ventilators were independent precipitating factors. For multivariate regressions, previous stroke, multiple bed changes, and physical restraints were the significant factors.

CONCLUSION

The prevalence and incidence of delirium of older adults in the ICU setting in this study was high and comparable to prior studies. There are several significant risk factors associated with delirium which could be modified. These factors should be considered when designing effective preventive strategies of delirium.

Under-recognition of delirium in older adults by nurses in the intensive care unit setting

BACKGROUND

Nurses have the key roles to detect delirium in hospitalized older patients but under-recognition of delirium among nurses is prevalent. The objectives of this study were to identify the under-recognition rate of delirium by intensive care nurses (ICU) using Confusion Assessment Method for the ICU (CAM-ICU) and factors associated with under-recognition.

METHODS

Participants were older patients aged ≥65 years who were admitted to the ICU of Srinagarind Medical School, Khon Kaen, Thailand from May 2013 to August 2014. Baseline characteristics were collected. Delirium was rated by a trained clinical researcher using the CAM-ICU. Demographic data were analyzed using descriptive statistics. Univariate and multiple logistic regressions were used to analyze the outcomes.

RESULTS

Delirium occurred in 44 of 99 patients (44.4 %). Nurses could not identify delirium in 29.6 % of patients compared with researchers. Pre-existing dementia and depression were found in 47.7 % of patients. Pneumonia or other causes of respiratory failure were the most common causes of admission to ICU (47.7 %). Independent factors associated with under-recognition by nurses were identified-heart failure [adjusted odds ratio (OR), 77.8; 95 % confidence interval (CI) 2.5-2,543, p = 0.01] and pre-existing taking treatment with benzodiazepines (adjusted OR, 22.6; 95 % CI 1.8-85, p = 0.01).

DISCUSSION

Under-recognition of delirium is a frequent issue. New independent factors associated with under-recognition were identified. Awareness of delirium in the patients with these factors is recommended.

CONCLUSIONS

This study supports the finding of high under-recognition rates of delirium among hospitalized older adults in ICU. Patients with heart failure and receiving benzodiazepines were identified as barriers of recognition of delirium.