Persistent delirium predicts greater mortality

Efficacy and safety of perioperative melatonin for postoperative delirium in patients undergoing surgery: a systematic review and meta-analysis

OBJECTIVE

To assess the efficacy and safety of perioperative melatonin and melatonin agonists in preventing postoperative delirium (POD).

METHODS

We conducted a systematic search for randomized controlled trials (RCTs) published through December 2022. The primary outcome was efficacy based on the incidence of POD (POD-I). Secondary outcomes included efficacy and safety according to the length of hospital or intensive care unit stay, in-hospital mortality, and adverse events. Subgroup analyses of POD-I were based on the type and dose of drug (low- and high-dose melatonin, ramelteon), the postoperative period (early or late), and the type of surgery.

RESULTS

In the analysis (16 RCTs, 1981 patients), POD-I was lower in the treatment group than in the control group (risk ratio [RR] = 0.57). POD-I was lower in the high-dose melatonin group than in the control group (RR = 0.41), whereas no benefit was observed in the low-dose melatonin and ramelteon groups. POD-I was lower in the melatonin group in the early postoperative period (RR = 0.35) and in patients undergoing cardiopulmonary surgery (RR = 0.54).

CONCLUSION

Perioperative melatonin or melatonin agonist treatment suppressed POD without severe adverse events, particularly at higher doses, during the early postoperative period, and after cardiopulmonary surgery.

The Role of Delirium on Short- and Long-Term Postoperative Outcomes Following Major Gastrointestinal Surgery for Cancer

INTRODUCTION

The growing burden of an aging population has raised concerns about demands on healthcare systems and resources, particularly in the context of surgical and cancer care. Delirium can affect treatment outcomes and patient recovery. We sought to determine the prevalence of postoperative delirium among patients undergoing digestive tract surgery for malignant indications and to analyze the role of delirium on surgical outcomes.

METHODS

Medicare claims data were queried to identify patients diagnosed with esophageal, gastric, hepatobiliary, pancreatic, and colorectal cancers between 2018 and 2021. Postoperative delirium, occurring within 30 days of operation, was identified via International Classification of Diseases, 10th edition codes. Clinical outcomes of interested included "ideal" textbook outcome (TO), characterized as the absence of complications, an extended hospital stay, readmission within 90 days, or mortality within 90 days. Discharge disposition, intensive care unit (ICU) utilization, and expenditures also were examined.

RESULTS

Among 115,654 cancer patients (esophageal: n = 1854, 1.6%; gastric: n = 4690, 4.1%; hepatobiliary: n = 6873, 5.9%; pancreatic: n = 8912, 7.7%; colorectal: n = 93,325, 90.7%), 2831 (2.4%) were diagnosed with delirium within 30 days after surgery. On multivariable analysis, patients with delirium were less likely to achieve TO (OR 0.27 [95% CI 0.25-0.30]). In particular, patients who experienced delirium had higher odds of complications (OR 3.00 [2.76-3.25]), prolonged length of stay (OR 3.46 [3.18-3.76]), 90-day readmission (OR 1.96 [1.81-2.12]), and 90-day mortality (OR 2.78 [2.51-3.08]). Furthermore, patients with delirium had higher ICU utilization (OR 2.85 [2.62-3.11]). Upon discharge, patients with delirium had a decreased likelihood of being sent home (OR 0.40 [0.36-0.46]) and instead were more likely to be transferred to a skilled nursing facility (OR 2.17 [1.94-2.44]). Due to increased utilization of hospital resources, patients with delirium incurred in-hospital expenditures that were 55.4% higher (no delirium: $16,284 vs. delirium: $28,742) and 90-day expenditures that were 100.7% higher (no delirium: $2564 vs. delirium: $8226) (both p < 0.001). Notably, 3-year postoperative survival was adversely affected by delirium (no delirium: 55.5% vs. delirium: 37.3%), even after adjusting risk for confounding factors (HR 1.79 [1.70-1.90]; p < 0.001).

CONCLUSIONS

Postoperative delirium occurred in one in 50 patients undergoing surgical resection of a digestive tract cancer. Delirium was linked to a reduced likelihood of achieving an optimal postoperative outcome, increased ICU utilization, higher expenditures, and a worse long-term prognosis. Initiatives to prevent delirium are vital to improve postoperative outcomes among cancer surgery patients.

Sleep in the intensive and intermediate care units: Exploring related factors of delirium, benzodiazepine use and mortality

AIM OF THE STUDY

The primary purpose was to examine sleep difficulties and delirium in the Intensive and Intermediate Care Unit. Secondarily, factors impacting night-time sleep duration and quality, mortality, and the impact of benzodiazepine use on sleep outcomes were investigated.

MATERIALS AND METHODS

This retrospective study encompassed data from 323 intensive and intermediate care unit admissions collected in the Netherlands, spanning from November 2018 to May 2020. Sleep quality was measured using the Richards-Campbell Sleep Questionnaire. Night-time sleep duration was nurse-reported. We investigated associations of these sleep outcomes with age, sex, length-of-stay, natural daylight, disease severity, mechanical ventilation, benzodiazepine use, and delirium using Generalized Estimating Equations models. Associations with one-year post-discharge mortality were analyzed using Cox regression.

RESULTS

Night-time sleep duration was short (median 4.5 hours) and sleep quality poor (mean score 4.9/10). Benzodiazepine use was common (24 % of included nights) and was negatively associated with night-time sleep duration and quality (B = -0.558 and -0.533, p <.001). Delirium and overnight transfers were negatively associated with sleep quality (B = -0.716 and -1.831, p <.05). The day-to-night sleep ratio was higher in the three days before delirium onset than in non-delirious individuals (p <.05). Age, disease severity and female sex were associated with increased one-year mortality. Sleep quality was negatively, but not-significantly, associated with mortality (p =.070).

CONCLUSIONS

Night-time sleep in the critical care environment has a short duration and poor quality. Benzodiazepine use was not associated with improved sleep. Sleep patterns change ahead of delirium onset.

IMPLICATIONS FOR CLINICAL PRACTICE

Consistent sleep monitoring should be part of routine nursing practice, using a validated instrument like the Richards-Campbell Sleep Questionnaire. Given the lack of proven efficacy of benzodiazepines in promoting sleep in critical care settings, it is vital to develop more effective sleep treatments that include non-benzodiazepine medication and sleep hygiene strategies.

The prognosis of delirium in older outpatients

BACKGROUND

Delirium is a common and serious neuropsychiatric disorder. The prognosis of delirium in older patients living at home has not been studied often before. The aim of this study is to examine the prognosis of delirium in patients attending a memory clinic of a psychiatric hospital.

METHOD

The study population consisted of 85 outpatients diagnosed with delirium between October 2013 and October 2014. Seventeen patients had already been diagnosed as having dementia. Three months after the diagnosis, consenting patients underwent a follow-up visit. We recorded delirium status (remitted or not), new dementia diagnosis, subjective cognitive functioning compared to baseline and to before delirium, level of daily functioning, and place of residence.

RESULTS

After 3 months, 45 (53%) had recovered from delirium, 19 (22,4%) had persistent/recurrent delirium, 12 (14%) patients had died, and another nine (11%) could not be revisited for other reasons than death. None of the 64 re-examined patients reported that their cognitive functioning had recovered to the pre-delirium level, and the mean level of daily functioning did not substantially improve either. The rate of diagnosed dementia increased to 63.8%, and 18 patients (28.1%) had moved to a nursing home.

CONCLUSIONS

Delirium in older outpatients has a poor prognosis. A larger study on the risk factors of the prognosis of delirium in older persons living at home is advised.

Reduction of Postoperative Delirium and Opioid Use in Hip Fracture Patients Through Utilization of Emergency Department Physician Administered Regional Nerve Blocks

Introduction

The complication of delirium for hip fracture patients is a predictor of mortality. Use of opioid medication increases the incidence of delirium in the pre- and postoperative periods. Regional nerve blocks are effective in managing acute pain for acute hip fractures. This study aims to evaluate the utilization of ED physicians to perform fascia iliaca nerve blocks on hip fracture patients to decrease the incidence of delirium by decreasing usage of opioid medication.

Methods

A quality improvement project for performing regional nerve blocks on patients with femoral neck fractures was implemented during fiscal year 2019. Data was collected retrospectively for frequency of ED nerve block procedures, amount of opioid medication use, and incidence of delirium in patients diagnosed with hip fracture. This data was compared to baseline data to determine success of the intervention.

Results

Utilization of regional nerve blocks in the ED increased from 2% in 2018 to 96% in 2021 and 89% in 2022. Preoperative opioid usage decreased from 38 MMEs to 16.9 and 18 MMEs respectively. Daily average MMEs decreased from 34 to 12.1 and 14 respectively. Postoperative delirium decreased from 6% in 2018 to 0% from 2020 to 2022.

Discussion

ED provider administration of fascia iliaca blocks and follow-up is a novel practice in our region to decrease the adverse effects of opiate use and decrease delirium rates. There was a reduction in length of stay and increased discharge home rate despite the Covid-19 pandemic.

Conclusion

Administration of regional nerve blocks by ED physicians to hip fracture patients presenting to the ED results in a decrease in opioid medication usage. This also results in a decreased delirium rates in the hip fracture patient population.

Comparison of Volatile Anesthetics Versus Propofol on Postoperative Cognitive Function After Cardiac Surgery: A Systematic Review and Meta-analysis

OBJECTIVE

To compare the effects of volatile anesthetics and propofol on neurocognitive function after cardiac surgery.

DESIGN

A systematic review and meta-analysis of randomized controlled trials.

SETTING

A literature search of PubMed, EMBASE, CENTRAL, CINAHL, Scopus, and Web of Science databases was conducted.

PARTICIPANTS

A total of 10 randomized controlled trials comparing volatile anesthetics and propofol in cardiac surgery were included in the study.

INTERVENTIONS

The standardized mean difference and risk ratio were calculated to estimate pooled effect sizes.

MEASUREMENTS AND MAIN RESULTS

The primary outcome was the postoperative neurocognitive function score, and the secondary outcome was the incidence of delirium after cardiac surgery. The analysis did not show significant differences in postoperative neurocognitive function scores (standardized mean difference -0.06, 95% CI -0.81-0.69; p = 0.879). The incidences of delirium (risk ratio 1.10, 95% CI 0.81-1.50) between the volatile anesthetics and propofol groups were not significant (p = 0.533).

CONCLUSIONS

Unlike noncardiac surgery, there are no differences between volatile anesthetics and propofol regarding postoperative neurocognitive dysfunction after cardiac surgery.

Poorer outcomes in patients with early postoperative delirium: 120-day follow-up of the Delirium Reduction by Analgesia Management in Hip Fracture (DRAM-HF) study

OBJECTIVES

The Delirium Reduction by Analgesia Management-Hip Fracture (DRAM-HF) model of care, which incorporated a multicomponent intervention focussing on perioperative analgesia and medication optimisation, was associated with reduced Day 3 postoperative delirium (POD) amongst hip fracture patients. We investigated whether this effect was seen at 120 days postoperatively.

METHODS

We assessed 120-day outcomes in all patients who were included in the DRAM-HF study, by telephone, supplemented by electronic medical records, to include death (primary outcome), residential aged care facility (RACF) residence, patient/carer-reported frailty, hospital readmission and new dementia diagnosis.

RESULTS

Amongst 300 patients (mean age 81.1, 70% female, none lost to follow-up), by 120 days, 8% (n = 24) had died; 25% of survivors (n = 68/276) were RACF residents. Twenty-two per cent were readmitted (n = 61/281). A new dementia diagnosis was reported by 6% (n = 17/281). Intervention status in the DRAM-HF trial (intervention/control) was not associated with death by 120 days (OR 0.83, 95% CI 0.36-1.93, p = 0.67) or other outcomes assessed. POD was independently associated with 120-day death (aOR 3.3, 95% CI 1.2-9.2, p = 0.02), RACF residence (aOR 2.2, 95% CI 1.1-4.7, p = 0.03) and patient/carer-reported frailty (aOR 5.6, 95% CI 1.0-30.7, p = 0.05), but not readmission (p = 0.21) or new diagnosis of dementia (p = 0.08).

CONCLUSIONS

In this cohort, while the DRAM-HF bundle of care did not influence 120-day outcomes, patients who experienced POD had poorer clinical outcomes 120-day postfracture. Given that delirium was associated with death, RACF residence and frailty, models of care which have the potential to reduce POD may have benefits beyond the acute admission, and further investigation is needed.

Association between Change in the peripheral biomarkers of inflammation, astrocyte activation, and neuroprotection at one week of critical illness and hospital mortality in patients with delirium: A prospective cohort study

OBJECTIVE

In critically ill adults with delirium, biomarkers of systemic inflammation, astrocyte activation, neuroprotection, and systemic inflammation measured at one week of critical illness may be associated with mortality.

DESIGN

Prospective observational study.

SETTING

Intensive care unit (ICU).

PATIENTS

178 ICU patients with delirium, alive and remaining in ICU at one week.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Blood samples collected for a pair of previously published, negative, clinical trials were utilized. Samples were collected at study enrollment/ICU admission (Day 1 sample) and one week later (Day 8 sample), and analyzed for interleukins (IL)-6, 8, 10, Insulin-like Growth Factor (IGF), S100 Binding Protein (S100B), Tumor Necrosis Factor Alpha (TNF-A) and C-Reactive Protein (CRP). Delirium, delirium severity, and coma were assessed twice daily using Confusion Assessment Method for the Intensive Care Unit (CAM-ICU), CAM-ICU-7, and Richmond Agitation-Sedation Scale (RASS), respectively. Mortality was assessed until discharge using the electronic medical record. Logistic regression models adjusting for age, sex, severity of illness, comorbidities, sepsis, and randomization status, were used to assess the relationship among biomarkers and mortality. Higher IL-10 quartiles at day 8 were associated with increased odds of hospital mortality (IL-10: OR 2.00 95%CI: 1.1-3.65, p = 0.023). There was a significant interaction between day 1 and day 8 biomarker quartiles only for IL-6. Patients with IL-6 values in the first three quartiles on admission to the ICU that transitioned to higher IL-6 quartiles at day 8 had increased probability of hospital mortality.

CONCLUSION

In this hypothesis-generating study, higher IL-6 and IL-10 quartiles at one week, and increase in IL-6 from day 1 to day 8 were associated with increased hospital mortality. Studies with larger sample sizes are needed to confirm the mechanisms for these observations.

Meta-analysis of serological biomarkers at hospital admission for the likelihood of developing delirium during hospitalization

Importance

Identifying biomarkers that, at hospital admission, predict subsequent delirium will help to focus our clinical efforts on prevention and management.

Objective

The study aimed to investigate biomarkers at hospital admission that may be associated with delirium during hospitalization.

Data sources

A librarian at the Fraser Health Authority Health Sciences Library performed searches from 28 June 2021 to 9 July 2021, using the following sources: Medline, EMBASE, Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials, Cochrane Methodology Register, and the Database of Abstracts of Reviews and Effects.

Study selection

The inclusion criteria were articles in English that investigated the link between serum concentration of biomarkers at hospital admission and delirium during hospitalization. Exclusion criteria were single case reports, case series, comments, editorials, letters to the editor, articles that were not relevant to the review objective, and articles concerning pediatrics. After excluding duplicates, 55 studies were included.

Data extraction and synthesis

This meta-analysis followed the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) protocol. Independent extraction, with the consensus of multiple reviewers, was used to determine the final studies included. The weight and heterogeneity of the manuscripts were calculated using inverse covariance with a random-effects model.

Main outcomes and measures

Differences in mean serum concentration of biomarkers at hospital admission between patients who did and did not develop delirium during hospitalization.

Results

Our search found evidence that patients who developed delirium during hospitalization had, at hospital admission, significantly greater concentrations of certain inflammatory biomarkers and one blood-brain barrier leakage marker than patients who did not develop delirium during hospitalization (differences in the mean: cortisol: 3.36 ng/ml, p < 0.0001; CRP: 41.39 mg/L, p < 0.00001; IL-6: 24.05 pg/ml, p < 0.00001; S100β 0.07 ng/ml, p < 0.00001). These differences were independent of other confounding variables such as the patient's severity of illness. A significantly lower serum concentration, at hospital admission, of acetylcholinesterase (difference in the means -0.86 U/ml, p = 0.004) was also associated with an increased vulnerability to developing delirium during hospitalization.

Conclusion and relevance

Our meta-analysis supports the hypothesis that patients with hypothalamic-pituitary axis dysfunction, increased blood-brain barrier permeability, and chronic overload of the cholinergic system, at hospital admission, are more vulnerable to developing delirium during hospitalization.

Cortical reactivity to transcranial magnetic stimulation predicts risk of post-stroke delirium

OBJECTIVE

Post-stroke delirium (PSD) is a frequent and with regard to outcome unfavorable complication in acute stroke. The neurobiological mechanisms predisposing to PSD remain poorly understood, and biomarkers predicting its risk have not been established. We tested the hypothesis that hypoexcitable or disconnected brain networks predispose to PSD by measuring brain reactivity to transcranial magnetic stimulation with electroencephalography (TMS-EEG).

METHODS

We conducted a cross-sectional study in 33 acute stroke patients within 48 hours of stroke onset. Brain reactivity to single-pulse TMS of dorsolateral prefrontal cortex, primary motor cortex and superior parietal lobule of the right hemisphere was quantified by response intensity, effective connectivity, perturbational complexity index (PCI^ST), and natural frequency of the TMS-EEG response. PSD development was clinically tracked every 8 hours before and for 7 days following TMS-EEG.

RESULTS

Fourteen patients developed PSD while 19 patients did not. The PSD group showed lower excitability, effective connectivity, PCI^ST and natural frequency compared to the non-PSD group. The maximum PCI^ST over all three TMS sites demonstrated largest classification accuracy with a ROC-AUC of 0.943. This effect was independent of lesion size, affected hemisphere and stroke severity. Maximum PCI^ST and maximum natural frequency correlated inversely with delirium duration.

CONCLUSIONS

Brain reactivity to TMS-EEG can unravel brain network states of reduced excitability, effective connectivity, perturbational complexity and natural frequency that identify acute stroke patients at high risk for development of delirium.

SIGNIFICANCE

Findings provide novel insight into the pathophysiology of pre-delirium brain states and may promote effective delirium prevention strategies in those patients at high risk.

Plasma biomarkers and delirium in critically ill patients after cardiac surgery: A prospective observational cohort study

BACKGROUND

Delirium is common in postoperative critically ill patients and may affect by intraoperative events. Biomarkers are vital indicators in the development and prediction of delirium.

OBJECTIVES

This study aimed to investigate the associations between various plasma biomarkers and delirium.

METHODS

We performed a prospective cohort study on cardiac surgery patients. Delirium assessment was performed twice daily using the confusion assessment method for the intensive care unit (ICU), and the Richmond Agitation Sedation Scale was used to assess the depth of sedation and agitation. Blood samples were collected on the day after ICU admission, and the concentrations of cortisol, interleukin (IL)-1β, IL-6, tumor necrosis factor α, soluble tumor necrosis factor receptor-1 (sTNFR-1), and sTNFR-2 were measured.

RESULTS

Delirium in the ICU was noted in 93 (29.2%, 95% CI 24.2-34.3) out of 318 patients (mean age 52 years, SD 12.0). The longer duration of cardiopulmonary bypass, aortic clamping and surgery, and higher plasma, erythrocytes, and platelet transfusion requirements were among the significant differences in intraoperative events between patients with and without delirium. Median levels of IL-6 (p = 0.017), TNF-α (p = 0.048), sTNFR-1 (p < 0.001), and sTNFR-2 (p = 0.001) were significantly higher in patients with delirium than in those without it. After adjusting for demographic variables and intraoperative events, only sTNFR-1 (odds ratio 6.83, 95% CI: 1.14-40.90) was associated with delirium.

CONCLUSIONS

Plasma IL-6, TNF-α, sTNFR-1, and sTNFR-2 levels were higher in ICU-acquired delirium patients after cardiac surgery. sTNFR-1 was a potential indicator of the disorder.

Predictors of Survival Among the Oldest Old Following Acute Hospital Admission: Insights From Clinical and Biochemical Factors

Understanding the factors influencing survival in oldest old population is crucial for providing appropriate care and improving outcomes. This prospective observational study aimed to investigate the determinants of survival in acutely ill oldest old patients during acute hospitalization and 1-month follow-up. Various geriatric domains and biochemical markers were assessed. Among the 70 included patients with a median age of 87 (Inter quartile range: 85-90), the presence of diabetes, delirium, tachypnea, and high sirtuin-5 levels were associated with reduced in-hospital survival. Non-survivors had raised levels of Sirtuin 1 and Sirtuin 5, with an increase of 43% and 70%, respectively. At 1 month, delirium and diabetes were still associated with reduced survival. These findings suggest that type-2 diabetes, delirium, tachypnea, and high sirtuin-5 levels could serve as predictors of reduced survival in acutely ill, hospitalized oldest old patients.

Predisposing and precipitating risk factors for delirium in gastroenterology and hepatology: Subgroup analysis of 718 patients from a hospital-wide prospective cohort study

BACKGROUND AND AIMS

Delirium is the most common acute neuropsychiatric syndrome in hospitalized patients. Higher age and cognitive impairment are known predisposing risk factors in general hospital populations. However, the interrelation with precipitating gastrointestinal (GI) and hepato-pancreato-biliary (HPB) diseases remains to be determined.

PATIENTS AND METHODS

Prospective 1-year hospital-wide cohort study in 29'278 adults, subgroup analysis in 718 patients hospitalized with GI/HPB disease. Delirium based on routine admission screening and a DSM-5 based construct. Regression analyses used to evaluate clinical characteristics of delirious patients.

RESULTS

Delirium was detected in 24.8% (178/718). Age in delirious patients (median 62 years [IQR 21]) was not different to non-delirious (median 60 years [IQR 22]), p = 0.45). Dementia was the strongest predisposing factor for delirium (OR 66.16 [6.31-693.83], p < 0.001). Functional impairment, and at most, immobility increased odds for delirium (OR 7.78 [3.84-15.77], p < 0.001). Patients with delirium had higher in-hospital mortality rates (18%; OR 39.23 [11.85-129.93], p < 0.001). From GI and HPB conditions, cirrhosis predisposed to delirium (OR 2.11 [1.11-4.03], p = 0.023), while acute renal failure (OR 4.45 [1.61-12.26], p = 0.004) and liver disease (OR 2.22 [1.12-4.42], p = 0.023) were precipitators. Total costs were higher in patients with delirium (USD 30003 vs. 10977; p < 0.001).

CONCLUSION

Delirium in GI- and HPB-disease was not associated with higher age per se, but with cognitive and functional impairment. Delirium needs to be considered in younger adults with acute renal failure and/or liver disease. Clinicians should be aware about individual risk profiles, apply preventive and supportive strategies early, which may improve outcomes and lower costs.

Persistent delirium in older hospital patients: an updated systematic review and meta-analysis

Introduction

Delirium is associated with future dementia progression. Yet whether this occurs subclinically over months and years, or persistent delirium merges into worsened dementia is not understood. Our objective was to estimate the prevalence of persistent delirium and understand variation in its duration.

Methods

We adopted an identical search strategy to a previous systematic review, only including studies using a recognised diagnostic framework for ascertaining delirium at follow-up (persistent delirium). Studies included hospitalised older patients outside critical and palliative care settings. We searched MEDLINE, EMBASE, PsycINFO and the Cochrane Database of Systematic Reviews on 11th January 2022. We applied risk of bias assessments based on Standards of Reporting of Neurological Disorders criteria and assessed strength of recommendations using the grading of recommendation, assessment, development and evaluation (GRADE) approach. Estimates were pooled across studies using random-effects meta-analysis, and we estimated associations with follow-up duration using robust error meta-regression.

Results

We identified 13 new cohorts, which we added to 10 from the previous systematic review (23 relevant studies, with 39 reports of persistent delirium at 7 time-points in 3186 individuals admitted to hospital care (mean age 82 years and 41% dementia prevalence). Studies were mainly at moderate risk of bias. Pooled delirium prevalence estimates at discharge were 36% (95% CI 22% to 51%, 13 studies). Robust error meta-regression did not show variation in prevalence of persistent delirium over time (-1.6% per month, 95% CI -4.8 to 1.6, p=0.08). Margins estimates for this model indicate a prevalence of persistent delirium of 16% (95% CI 6% to 25%) at 12 months.

Conclusions

This systematic review emphasises the importance of delirium as a persistent and extensive problem (GRADE certainty = moderate), raising questions on chronic delirium as a clinical entity and how it might evolve into dementia. Addressing persistent delirium will require a whole-system, integrated approach to detect, follow-up and implement opportunities for recovery across all healthcare settings.

Practical considerations for colorectal cancer screening in older adults

Recent guidelines recommend that colorectal cancer (CRC) screening after age 75 be considered on an individualized basis, and discourage screening for people over 85 due to competing causes of mortality. Given the heterogeneity in the health of older individuals, and lack of data within current guidelines for personalized CRC screening approaches, there remains a need for a clearer framework to inform clinical decision-making. A revision of the current approach to CRC screening in older adults is even more compelling given the improvements in CRC treatment, post-treatment survival, and increasing life expectancy in the population. In this review, we aim to examine the personalization of CRC screening cessation based on specific factors influencing life and health expectancy such as comorbidity, frailty, and cognitive status. We will also review screening modalities and endoscopic technique for minimizing risk, the risks of screening unique to older adults, and CRC treatment outcomes in older patients, in order to provide important information to aid CRC screening decisions for this age group. This review article offers a unique approach to this topic from both the gastroenterologist and geriatrician perspective by reviewing the use of specific clinical assessment tools, and addressing technical aspects of screening colonoscopy and periprocedural management to mitigate screening-related complications.

Comparison of Intravenous and Inhalational Anesthetic on Postoperative Cognitive Outcomes in Elderly Patients Undergoing Cancer Surgery: Systematic Review and Meta-analysis

PURPOSE

Previous studies have documented consistent findings on the long-term cognitive effects such as postoperative cognitive dysfunction (POCD), delirium and delayed recovery among elderly undergoing cancer surgery. This review was conducted to compare the effect of intravenous and inhalational anesthetic on the postoperative cognitive outcomes among elderly patients undergoing cancer surgery.

DESIGN

Systematic review and meta-analysis METHODS: We searched Medline, EMBASE, PubMed Central, ScienceDirect, Google Scholar, and Cochrane library from inception until May 2021. We carried out a meta-analysis with a random-effects model and reported pooled risk ratio (RR) or standardized mean difference (SMD) with 95% confidence interval (CI) depending on the type of outcome.

FINDINGS

In total, we analyzed 10 studies including 2,333 participants. Half of the studies had high risk of bias. For the cognitive score, the pooled SMD was -0.87 [95% CI: -3.97 to 2.24] indicating no statistically significant difference between inhalational and intravenous anesthetic. For POCD, the pooled RR was 1.24 (95% CI: 0.83-1.84); for postoperative delirium, the pooled RR was 2.26 (95% CI: 0.79-6.44); for delayed neurocognitive recovery, the pooled RR was 1.49 (95% CI: 1.09-2.03).

CONCLUSION

Inhalational anesthetics did not show a significant difference in postoperative cognitive outcomes, except delayed neurocognitive recovery, compared to intravenous anesthetic following cancer surgery.

Prevalence and features of delirium in older patients admitted to rehabilitation facilities: a multicenter study

BACKGROUND

Delirium is thought to be common across various settings of care; however, still little research has been conducted in rehabilitation.

AIM

We investigated the prevalence of delirium, its features and motor subtypes in older patients admitted to rehabilitation facilities during the three editions of the "Delirium Day project".

METHODS

We conducted a cross-sectional study in which 1237 older patients (age ≥ 65 years old) admitted to 50 Italian rehabilitation wards during the three editions of the "Delirium Day project" (2015 to 2017) were included. Delirium was evaluated through the 4AT and its motor subtype with the Delirium Motor Subtype Scale.

RESULTS

Delirium was detected in 226 patients (18%), and the most recurrent motor subtype was mixed (37%), followed by hypoactive (26%), hyperactive (21%) and non-motor one (16%). In a multivariate Poisson regression model with robust variance, factors associated with delirium were: disability in basic (PR 1.48, 95%CI: 1.17-1.9, p value 0.001) and instrumental activities of daily living (PR 1.58, 95%CI: 1.08-2.32, p value 0.018), dementia (PR 2.10, 95%CI: 1.62-2.73, p value < 0.0001), typical antipsychotics (PR 1.47, 95%CI: 1.10-1.95, p value 0.008), antidepressants other than selective serotonin reuptake inhibitors (PR 1.3, 95%CI: 1.02-1.66, p value 0.035), and physical restraints (PR 2.37, 95%CI: 1.68-3.36, p value < 0.0001).

CONCLUSION

This multicenter study reports that 2 out 10 patients admitted to rehabilitations had delirium on the index day. Mixed delirium was the most prevalent subtype. Delirium was associated with unmodifiable (dementia, disability) and modifiable (physical restraints, medications) factors. Identification of these factors should prompt specific interventions aimed to prevent or mitigate delirium.

Delirium risk in geriatric hip hemi-arthroplasty (DRIGHA): Development and validation of a novel score using a national data

BACKGROUND

In-hospital delirium after hip hemi-arthroplasty results in a prolonged hospital course and an increase in morbidity and mortality. Early identification of high-risk patients and preventive strategies can reduce the occurrence of delirium. The purpose of the study is to identify the risk factors of delirium and create a scoring system for point of care physicians. The risk factors were created and validated in the study.

HYPOTHESIS

Certain factors are associated with in-hospital delirium after hip hemi-arthroplasty in geriatric patients.

METHODS

The National Surgical Quality Improvement Program (NSQIP) database from 2016 to 2019 was accessed for the study. The study included all geriatric patients, ages 65 years and older, who underwent hip hemi-arthroplasty following a hip fracture. A multivariable analysis was performed to identify the risk of delirium using all the available information including patient demography, timing of surgery, comorbidities, and infective complications. Eighty percent of the data were used to develop a risk model, and 20% of the data were used to validate the model. A Receiving Operating Characteristics (ROC) curve was created. The Area Under the Curve (AUC) was calculated with a 95% confidence interval (CI). A Delirium Risk in Geriatric Hip Hemi-Arthroplasty (DRIGHA) score was created.

RESULTS

Out of 13,174 patients who qualified for the study, 3924 (29.8%) patients developed in-hospital delirium. The risk model showed advanced age, male gender, prior history of delirium and dementia, certain comorbidities, and complications were associated with a higher incidence of in-hospital delirium. The AUC was 0.79 (95% CI, 0.78-0.80). The DRIGHA score predicted the risk of delirium from 8 to 99.4%.

CONCLUSION

Certain demography characteristics, comorbidities and infective complications were associated with a higher risk of developing in-hospital delirium. A DRIGHA score can be calculated at the bedside through a web-based calculator. Preventive strategies in high-risk patients will reduce the incidence of delirium.

Review of Postoperative Delirium in Geriatric Patients After Hip Fracture Treatment

Introduction

Postoperative delirium (POD) is a serious complication occurring in 4–53.3% of geriatric patients undergoing surgeries for hip fracture. Incidence of hip fractures is projected to grow 11.9% from 258,000 in 2010 to 289,000 in 2030 based on 1990 to 2010 data. As prevalence of hip fractures is projected to increase, POD is also anticipated to increase.

Signficance

Postoperative delirium remains the most common complication of emergency hip fracture surgery leading to high morbidity and mortality rates despite significant research conducted regarding this topic. This study reviews literature from 1990 to 2021 regarding POD in geriatric hip fracture management.

Results

Potentially modifiable and non-modifiable risk factors for developing POD include, but are not limited to, male gender, older age, multiple comorbidities, specific comorbidities (dementia, cognitive impairment, diabetes, vision impairment, and abnormal blood pressure), low BMI, preoperative malnutrition, low albumin, low hematocrit, blunted preoperative cytokines, emergency surgery, time to admission and surgery, preoperative medical treatment, polypharmacy, delirium-inducing medications, fever, anesthesia time, and sedation depth and type. Although the pathophysiology remains unclear, the leading theories suggest neurotransmitter imbalance, inflammation, and electrolyte or metabolic derangements as the underlying cause of POD. POD is associated with increased length of hospital stay, cost, morbidity, and mortality. Prevention and early recognition are key factors in managing POD. Methods to reduce POD include utilizing interdisciplinary teams, educational programs for healthcare professionals, reducing narcotic use, avoiding delirium-inducing medications, and multimodal pain control.

Conclusion

While POD is a known complication after hip fracture surgery, further exploration in prevention is needed. Early identification of risk factors is imperative to prevent POD in geriatric patients. Early prevention will enhance delivery of health care both pre- and post-operatively leading to the best possible surgical outcome and better quality of life after hip fracture treatment.

Outcomes in heart failure patients discharged to skilled nursing facilities with delirium

AIM

Heart failure (HF) outcomes are disproportionately worse in patients discharged to skilled nursing facilities (SNF) as opposed to home. We hypothesized that dementia and delirium were key factors influencing these differences. Our aim was to explore the associations of dementia and delirium with risk of hospital readmission and mortality in HF patients discharged to SNF.

METHODS AND RESULTS

The study population included Veterans hospitalized for a primary diagnosis of HF and discharged to SNFs between 2010 and 2015. Pre-existing dementia was identified based on International Classification of Diseases-9 codes. Delirium was determined using the Minimum Data Set 3.0 Confusion Assessment Method algorithm. Proportional hazard regression analyses were used to model outcomes and were adjusted for covariates of interest. Patients (n = 21 655) were older (77.0 ± 10.5 years) and predominantly male (96.9%). Four groups were created according to presence (+) or absence (-) of dementia and delirium. Relative to the dementia-/delirium- group, the dementia-/delirium+ group was associated with increased 30 day mortality [adjusted hazard ratio (HR) = 2.2, 95% confidence interval (CI) = 1.7, 3.0] and 365 day mortality (adjusted HR = 1.5, 95% CI = 1.3, 1.7). Readmission was highest in the dementia-/delirium+ group after 30 days (HR = 1.2, 95% CI = 1.0, 1.5). In the group with dementia (delirium-/dementia+), 30 day mortality (12.8%; HR = 0.7, 95% CI = 0.7, 0.8) and readmissions (5.3%; HR = 1.0, 95% CI = 0.8, 1.1) were not different relative to the reference group.

CONCLUSIONS

Delirium, independent of pre-existing dementia, confers increased risk of hospital readmission and mortality in HF patients discharged to SNFs. Managing HF after hospitalization is a complex cognitive task and an increased focus on mental status in the acute care setting prior to discharge is needed to improve HF management and transitional care, mitigate adverse outcomes, and reduce healthcare costs.

Sauver J, Sohn S. Ascertainment of Delirium Status Using Natural Language Processing From Electronic Health Records

BACKGROUND

Delirium is underdiagnosed in clinical practice and is not routinely coded for billing. Manual chart review can be used to identify the occurrence of delirium; however, it is labor-intensive and impractical for large-scale studies. Natural language processing (NLP) has the capability to process raw text in electronic health records (EHRs) and determine the meaning of the information. We developed and validated NLP algorithms to automatically identify the occurrence of delirium from EHRs.

METHODS

This study used a randomly selected cohort from the population-based Mayo Clinic Biobank (N = 300, age ≥65). We adopted the standardized evidence-based framework confusion assessment method (CAM) to develop and evaluate NLP algorithms to identify the occurrence of delirium using clinical notes in EHRs. Two NLP algorithms were developed based on CAM criteria: one based on the original CAM (NLP-CAM; delirium vs no delirium) and another based on our modified CAM (NLP-mCAM; definite, possible, and no delirium). The sensitivity, specificity, and accuracy were used for concordance in delirium status between NLP algorithms and manual chart review as the gold standard. The prevalence of delirium cases was examined using International Classification of Diseases, 9th Revision (ICD-9), NLP-CAM, and NLP-mCAM.

RESULTS

NLP-CAM demonstrated a sensitivity, specificity, and accuracy of 0.919, 1.000, and 0.967, respectively. NLP-mCAM demonstrated sensitivity, specificity, and accuracy of 0.827, 0.913, and 0.827, respectively. The prevalence analysis of delirium showed that the NLP-CAM algorithm identified 12 651 (9.4%) delirium patients, the NLP-mCAM algorithm identified 20 611 (15.3%) definite delirium cases, and 10 762 (8.0%) possible cases.

CONCLUSIONS

NLP algorithms based on the standardized evidence-based CAM framework demonstrated high performance in delineating delirium status in an expeditious and cost-effective manner.

Reliability and validity of the Japanese version of the 4A's Test for delirium screening in the elderly patient

Although many screening tools for delirium are available, delirium is still occasionally overlooked or misdiagnosed. One of the reasons for this is the lack of brief screening tools that do not require specialized training to use. The 4 'A's test (the 4AT) is a validated screening tool for delirium that can be administered in a very short time without specialized training. Herein, we evaluated the reliability and validity of the Japanese version of the 4AT (the 4AT-J). A total of 150 patients aged ≥ 65 years were enrolled. Their demographics and clinical characteristics were obtained within 24 hr of their hospitalization. On each patient's high-risk day of developing delirium, the 4AT-J was administered by a nurse, and the Diagnostic and Statistical Manual of Mental Disorders, 5th edition (DSM-Ⅴ) and the Japanese version of Delirium Rating Scale-Revised-98 (DRS-98-J) were administered by a psychiatrist. Our analyses revealed that when a cut-off score of 4, the 4AT-J showed high sensitivity and specificity. The Cronbach's α-coefficient was similar to that of the original version. A receiver operating curve analysis showed sufficient power of the 4AT-J to discriminate delirium. The 4AT-J showed adequate reliability and validity for delirium screening in elderly patients.

Longitudinal validation of an electronic health record delirium prediction model applied at admission in COVID-19 patients

OBJECTIVE

To validate a previously published machine learning model of delirium risk in hospitalized patients with coronavirus disease 2019 (COVID-19).

METHOD

Using data from six hospitals across two academic medical networks covering care occurring after initial model development, we calculated the predicted risk of delirium using a previously developed risk model applied to diagnostic, medication, laboratory, and other clinical features available in the electronic health record (EHR) at time of hospital admission. We evaluated the accuracy of these predictions against subsequent delirium diagnoses during that admission.

RESULTS

Of the 5102 patients in this cohort, 716 (14%) developed delirium. The model's risk predictions produced a c-index of 0.75 (95% CI, 0.73-0.77) with 27.7% of cases occurring in the top decile of predicted risk scores. Model calibration was diminished compared to the initial COVID-19 wave.

CONCLUSION

This EHR delirium risk prediction model, developed during the initial surge of COVID-19 patients, produced consistent discrimination over subsequent larger waves; however, with changing cohort composition and delirium occurrence rates, model calibration decreased. These results underscore the importance of calibration, and the challenge of developing risk models for clinical contexts where standard of care and clinical populations may shift.

DelIrium VULnerability in GEriatrics (DIVULGE) study: a protocol for a prospective observational study of electroencephalogram associations with incident postoperative delirium

INTRODUCTION

Delirium is a neurocognitive disorder common in older adults in acute care settings. Those who develop delirium are at an increased risk of dementia, cognitive decline and death. Electroencephalography (EEG) during delirium in older adults is characterised by slowing and reduced functional connectivity, but markers of vulnerability are poorly described. We aim to identify EEG spectral power and event-related potential (ERP) markers of incident delirium in older adults to understand neural mechanisms of delirium vulnerability. Characterising delirium vulnerability will provide substantial theoretical advances and outcomes have the potential to be translated into delirium risk assessment tools.

METHODS AND ANALYSIS

We will record EEG in 90 participants over 65 years of age prior to elective coronary artery bypass grafting (CABG) or transcatheter aortic valve implantation (TAVI). We will record 4-minutes of resting state (eyes open and eyes closed) and a 5-minute frequency auditory oddball paradigm. Outcome measures will include frequency band power, 1/f offset and slope, and ERP amplitude measures. Participants will undergo cognitive and EEG testing before their elective procedures and daily postoperative delirium assessments. Group allocation will be done retrospectively by linking preoperative EEG data according to postoperative delirium status (presence, severity, duration and subtype).

ETHICS AND DISSEMINATION

This study is approved by the Human Research Ethics Committee of the Royal Adelaide Hospital, Central Adelaide Local Health Network and the University of South Australia Human Ethics Committee. Findings will be disseminated through peer-reviewed journal articles and presentations at national and international conferences.

TRIAL REGISTRATION NUMBER

ACTRN12618001114235 and ACTRN12618000799257.

ICU delirium burden predicts functional neurologic outcomes

Background

We investigated the effect of delirium burden in mechanically ventilated patients, beginning in the ICU and continuing throughout hospitalization, on functional neurologic outcomes up to 2.5 years following critical illness.

Methods

Prospective cohort study of enrolling 178 consecutive mechanically ventilated adult medical and surgical ICU patients between October 2013 and May 2016. Altogether, patients were assessed daily for delirium 2941days using the Confusion Assessment Method for the ICU (CAM-ICU). Hospitalization delirium burden (DB) was quantified as number of hospital days with delirium divided by total days at risk. Survival status up to 2.5 years and neurologic outcomes using the Glasgow Outcome Scale were recorded at discharge 3, 6, and 12 months post-discharge.

Results

Of 178 patients, 19 (10.7%) were excluded from outcome analyses due to persistent coma. Among the remaining 159, 123 (77.4%) experienced delirium. DB was independently associated with >4-fold increased mortality at 2.5 years following ICU admission (adjusted hazard ratio [aHR], 4.77; 95% CI, 2.10–10.83; P < .001), and worse neurologic outcome at discharge (adjusted odds ratio [aOR], 0.02; 0.01–0.09; P < .001), 3 (aOR, 0.11; 0.04–0.31; P < .001), 6 (aOR, 0.10; 0.04–0.29; P < .001), and 12 months (aOR, 0.19; 0.07–0.52; P = .001). DB in the ICU alone was not associated with mortality (HR, 1.79; 0.93–3.44; P = .082) and predicted neurologic outcome less strongly than entire hospital stay DB. Similarly, the number of delirium days in the ICU and for whole hospitalization were not associated with mortality (HR, 1.00; 0.93–1.08; P = .917 and HR, 0.98; 0.94–1.03, P = .535) nor with neurological outcomes, except for the association between ICU delirium days and neurological outcome at discharge (OR, 0.90; 0.81–0.99, P = .038).

Conclusions

Delirium burden throughout hospitalization independently predicts long term neurologic outcomes and death up to 2.5 years after critical illness, and is more predictive than delirium burden in the ICU alone and number of delirium days.

What you need to know about: delirium in older adults in hospital

Delirium is a clinical syndrome characterised by a disturbance of perception, consciousness and/or cognitive function, with an acute onset, fluctuating course and a severe deterioration arising over hours or days. Delirium is usually triggered by a combination of influences including acute illness, surgery, drugs and environmental factors. It is commonly seen in older people presenting to hospital, but can also develop during hospitalisation. There are three types of delirium: hypoactive, hyperactive and mixed. All patients over 65 years old presenting to hospital should be screened for delirium using the '4AT' tool. An alternate method for diagnosing hospital-acquired delirium is described. This article outlines a 10-stage method for diagnosing, managing and preventing delirium, with emphasis on which areas of the history and examination should be prioritised, what the salient investigations are and both non-pharmacological and pharmacological approaches to preventing and treating delirium. Finally, this article explores which patients require specialist referrals or investigations and how to best follow up patients with delirium.

Factors associated with delirium among survivors of acute respiratory distress syndrome: a nationwide cohort study

Background

The prevalence of delirium, its associated factors, and its impact on long-term mortality among survivors of acute respiratory distress syndrome (ARDS) is unclear.

Methods

Since this was a population-based study, data were extracted from the National Health Insurance database in South Korea. All adults who were admitted to intensive care units with a diagnosis of ARDS between January 1, 2010, and December 31, 2019, and who survived for ≥ 60 days were included. The International Statistical Classification of Diseases and Related Health Problems, tenth revision code of delirium (F05) was used to extract delirium cases during hospitalization.

Results

A total of 6809 ARDS survivors were included in the analysis, and 319 patients (4.7%) were diagnosed with delirium during hospitalization. In the multivariable logistic regression analysis after covariate adjustment, male sex (odds ratio [OR] 1.60, 95% confidence interval [CI] 1.23, 2.08; P < 0.001), longer duration of hospitalization (OR 1.02, 95% CI 1.01, 1.03; P < 0.001), neuromuscular blockade use (OR 1.50, 95% CI 1.12, 2.01; P = 0.006), benzodiazepine (OR 1.55, 95% CI 1.13, 2.13; P = 0.007) and propofol (OR 1.48, 95% CI 1.01, 2.17; P = 0.046) continuous infusion, and concurrent depression (OR 1.31, 95% CI 1.01, 1.71; P = 0.044) were associated with a higher prevalence of delirium among ARDS survivors. In the multivariable Cox regression analysis after adjustment for covariates, the occurrence of delirium was not significantly associated with 1-year all-cause mortality, when compared to the other survivors who did not develop delirium (hazard ratio: 0.85, 95% CI 1.01, 1.71; P = 0.044).

Conclusions

In South Korea, 4.7% of ARDS survivors were diagnosed with delirium during hospitalization in South Korea. Some factors were potential risk factors for the development of delirium, but the occurrence of delirium might not affect 1-year all-cause mortality among ARDS survivors.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12890-021-01714-0.

Interleukin-6 mediates delirium-like phenotypes in a murine model of urinary tract infection

Background

Urinary tract infection (UTI) is frequently implicated as a precipitant of delirium, which refers to an acute confusional state that is associated with high mortality, increased length of stay, and long-term cognitive decline. The pathogenesis of delirium is thought to involve cytokine-mediated neuronal dysfunction of the frontal cortex and hippocampus. We hypothesized that systemic IL-6 inhibition would mitigate delirium-like phenotypes in a mouse model of UTI.

Methods

C57/BL6 mice were randomized to either: (1) non-UTI control, (2) UTI, and (3) UTI + anti-IL-6 antibody. UTI was induced by transurethral inoculation of 1 × 10⁸Escherichia coli. Frontal cortex and hippocampus-mediated behaviors were evaluated using functional testing and corresponding structural changes were evaluated via quantification of neuronal cleaved caspase-3 (CC3) by immunohistochemistry and western blot. IL-6 in the brain and plasma were evaluated using immunohistochemistry, ELISA, and RT-PCR.

Results

Compared to non-UTI control mice, mice with UTI demonstrated significantly greater impairments in frontal and hippocampus-mediated behaviors, specifically increased thigmotaxis in Open Field (p < 0.05) and reduced spontaneous alternations in Y-maze (p < 0.01), while treatment of UTI mice with systemic anti-IL-6 fully reversed these functional impairments. These behavioral impairments correlated with frontal and hippocampal neuronal CC3 changes, with significantly increased frontal and hippocampal CC3 in UTI mice compared to non-UTI controls (p < 0.0001), and full reversal of UTI-induced CC3 neuronal changes following treatment with systemic anti-IL-6 antibody (p < 0.0001). Plasma IL-6 was significantly elevated in UTI mice compared to non-UTI controls (p < 0.01) and there were positive and significant correlations between plasma IL-6 and frontal CC3 (r² = 0.5087/p = 0.0028) and frontal IL-6 and CC3 (r² = 0.2653, p < 0.0001).

Conclusions

These data provide evidence for a role for IL-6 in mediating delirium-like phenotypes in a mouse model of UTI. These findings provide pre-clinical justification for clinical investigations of IL-6 inhibitors to treat UTI-induced delirium.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12974-021-02304-x.

Evaluation and Management of Delirium

Delirium, sometimes referred to as encephalopathy, is an acute confusional state that is both common in hospitalized patients and associated with poor outcomes. For patients, families, and caregivers, delirium can be a traumatic experience. While delirium is one of the most common diagnoses encountered by the consulting neurologist, the majority of the time it will have been previously unrecognized as such by the care team. Neurologic syndromes such as dementia or aphasia can either be misdiagnosed as delirium or may coexist with it, necessitating careful neurologic assessment. Once the diagnosis of delirium has been established, a careful evaluation for predisposing and precipitating factors can help uncover modifiable contributors, which should be addressed as part of a multicomponent, primarily nonpharmacologic intervention. Importantly, delirium management, which begins with comprehensive prevention, should emphasize the humanity of the delirious patient and the challenges of caring for this vulnerable population. When considered, delirium represents an important opportunity for the neurologist to substantially enhance patient care.

Risk Factors for Mortality After Uncemented Bipolar Hemiarthroplasty for Geriatric Displaced Femoral Neck Fracture

Uncemented bipolar hemiarthroplasty (UBHA) has been widely used to treat geriatric displaced femoral neck fracture (GDFNF), which results in a high 30-day mortality rate among the elderly. To date, few studies have focused on the risk factors for mortality after UBHA for GDFNF. In this retrospective study, elderly patients (age ≥70 years) who underwent UBHA for GDFNF were studied in order to provide helpful insight into the risk factors for mortality postoperatively. This retrospective study enrolled 835 elderly patients who underwent UBHA for GDFNF from January 2010 to December 2017. The Kaplan-Meier method and Cox regression analysis were used to identify significant risk factors predicting mortality after UBHA for GDFNF. Univariate analysis showed that underweight (body mass index <18.5 kg/m²), smoking, alcohol use, hypertension, chronic kidney disease, hypoproteinemia, low activities of daily living (ADL) score (0 to 2), and postoperative delirium were identified as the potential risk factors responsible for mortality after UBHA for GDFNF. Multivariate analysis suggested that underweight, hypoproteinemia, low ADL score, and postoperative delirium were significant risk factors predicting mortality after UBHA for GDFNF. Postoperative delirium was the most robust risk factor for mortality after UBHA for GDFNF. Underweight, hypoproteinemia, and low ADL score were also closely associated with mortality after UBHA for GDFNF. [Orthopedics. 2021;44(4):e570-e576.].

Delirium and Long-Term Outcomes among Survivors of Extracorporeal Membrane Oxygenation Therapy: A Nationwide Cohort Study in South Korea

Background: The prevalence of delirium and its association with long-term outcomes of extracorporeal membrane oxygenation (ECMO) therapy have not yet been identified. We aimed to investigate the prevalence of delirium and its associated factors during hospitalization among ECMO survivors. We also examined whether the occurrence of delirium was associated with 1-year all-cause mortality among ECMO survivors. Methods: As a population-based cohort study, data were obtained from the National Health Insurance Service database in South Korea. Adults older than 18 years who received ECMO therapy between 2005 and 2018 were included in this study. ECMO survivors were defined as patients who were discharged from the hospital. Results: The analysis included a total of 8153 ECMO survivors, of whom 551 (6.8%) experienced delirium during hospitalization. Older age (odds ratio [OR]: 1.01, 95% confidence interval [CI]: 1.00-1.02; P = 0.004), male sex (OR: 1.38, 95% CI: 1.13-1.68; P = 0.002), underlying depression (OR: 1.90, 95% CI: 1.49-2.41; P < 0.001), and longer length of hospital stay (OR: 1.02, 95% CI: 1.02-1.03; P < 0.001) were associated with a higher incidence of delirium. In multivariable Cox regression modeling, the occurrence of delirium was not significantly associated with the risk of 1-year all-cause mortality (hazard ratio: 0.90, 95% CI: 0.76-1.07; P = 0.229). Conclusion: The prevalence of delirium among ECMO survivors during hospitalization was 6.8% in South Korea, and old age, male sex, longer duration of hospital stay, and underlying depression were associated with it. However, there was no significant association between delirium and 1-year all-cause mortality among ECMO survivors.

Postoperative Delirium in Patients After Brain Tumor Surgery

BACKGROUND

Postoperative delirium is a common surgical complication that can be associated with poorer outcome. Many patients with brain tumors experience delirium after surgery. We hypothesize that patients who experience delirium after resection of a brain tumor will have worse outcomes post surgery in terms of mortality, disposition, and length of stay compared with those without postoperative delirium. We also examine differences between nurse and physician diagnoses of delirium.

METHODS

Data from patients undergoing brain tumor resection at University of Missouri Hospital were retrospectively collected. Delirium was defined using Diagnostic and Statistical Manual-5 criteria. Patients with delirium were compared with patients without delirium using chi-squared test, Cohen Kappa value, and binomial proportion analysis at 95% confidence intervals or P < 0.05.

RESULTS

Of 500 patients having brain tumor resections, 93 (18.6%) were diagnosed with postoperative delirium. Patients with delirium had higher 30-day mortality (9.78% vs. 1.48%; P < 0.0001), required restraints more often (42.39% vs. 5.91%, P < 0.0001), had longer hospital length of stay (14.3 vs. 6.3 days; P < 0.0001), and increased skilled nursing facility disposition (57.3% vs. 26.11%; P < 0.0001) than patients without delirium. Diagnosis of delirium between nursing staff and clinicians moderately correlated (Kappa 0.5677 ± 0.0536).

CONCLUSIONS

Delirium, a common postoperative complication after brain tumor surgery, is associated with longer length of stay, increased disposition to skilled nursing facility, and increased 30-day mortality. These findings reinforce the importance of early recognition, diagnosis, and treatment of postoperative delirium in brain tumor resection patients.

A Preliminary Scoring Model to Predict In-hospital Mortality Risk for Geriatric Patients with Delirium

BACKGROUND: Elderly patients are at an increased risk of death, particularly those with altered mental status. AIM: We aimed to develop a scoring model from simple clinical data and routine laboratory testing to aid in predicting in-hospital mortality risk for geriatric patients with delirium. METHODS: A total of 73 hospitalized geriatric patients with delirium were included in the study. A multivariate regression analysis employed to obtain independent risk factors to predict in-hospital mortality. All patients were followed until dead or discharged from hospital. The formula of (B/SE)/lowest B/SE was used to calculate the scores for each variable with strong discrimination power to be included in scoring system. RESULTS: A total of 25 (34.2%) of patients were death when being hospitalized. The mean age of the patients was 73.27 ± 7.8. From a total of 20 probable variables, three variables were then included in constructing the scoring model; no caregiver (p < 0.012), abnormal diastolic blood pressure (p < 0.05), and abnormal serum SGOT levels (p < 0.03). Each variable was scored as 1, following the use of formula. Total score ranges from 0 to maximum of 3. The cutoff score of ≥ 2 provided the best accuracy with sensitivity of 40% and specificity of 89.6% (p < 0.001). The probability of in-hospital mortality was 8.8%, 32.6%, 70.8%, and 92.4% for the total score of 0, 1, 2, and 3, respectively. CONCLUSION: This novel scoring system with simple examination may aid to identify geriatric patients with delirium which possess higher risk for in-hospital mortality.

Mortality prediction by bispectral electroencephalography among 502 patients: its role in dementia

Complications of delirium and dementia increase mortality; however, it is difficult to diagnose delirium accurately, especially among dementia patients. The bispectral electroencephalography score can detect delirium and predict mortality in elderly patients. We aimed to develop an efficient and reliable bispectral electroencephalography device for high-throughput screening. We also hypothesized that bispectral electroencephalography score can predict mortality among dementia patients. A prospective cohort study was conducted between January 2016 and December 2018 to measure bispectral electroencephalography from elderly patients and correlate with outcomes. A total of 502 elderly (55 years old or older) patients with and without dementia were enrolled. For a replication of the utility of bispectral electroencephalography, mortalities between bispectral electroencephalography-positive and bispectral electroencephalography-negative group were compared. In addition, patients with and without dementia status were added to examine the utility of bispectral electroencephalography among dementia patients. The mortality within 180 days in the bispectral electroencephalography-positive group was higher than that of the bispectral electroencephalography-negative group in both the replication and the total cohorts. Mortality of those in the bispectral electroencephalography-positive group showed a dose-dependent increase in both cohorts. When the dementia patients showed bispectral electroencephalography positive, their mortality was significantly higher than those with dementia but who were bispectral electroencephalography-negative. Mortality within 30 days in the bispectral electroencephalography-positive group was significantly higher than that of the bispectral electroencephalography-negative group. The utility of the bispectral electroencephalography to predict mortality among large sample of 502 elderly patients was shown. The bispectral electroencephalography score can predict mortality among elderly patients in general, and even among dementia patients, as soon as 30 days.

Development and External Validation of a Delirium Prediction Model for Hospitalized Patients With Coronavirus Disease 2019

Background

The coronavirus disease 2019 pandemic has placed unprecedented stress on health systems and has been associated with elevated risk for delirium. The convergence of pandemic resource limitation and clinical demand associated with delirium requires careful risk stratification for targeted prevention efforts.

Objectives

To develop an incident delirium predictive model among coronavirus disease 2019 patients.

Methods

We applied supervised machine learning to electronic health record data for inpatients with coronavirus disease 2019 at three hospitals to build an incident delirium diagnosis prediction model. We validated this model in three different hospitals. Both hospital cohorts included academic and community settings.

Results

Among 2907 patients across 6 hospitals, 488 (16.8%) developed delirium. Applying the predictive model in the external validation cohort of 755 patients, the c-index was 0.75 (0.71–0.79) and the lift in the top quintile was 2.1. At a sensitivity of 80%, the specificity was 56%, negative predictive value 92%, and positive predictive value 30%. Equivalent model performance was observed in subsamples stratified by age, sex, race, need for critical care and care at community vs. academic hospitals.

Conclusion

Machine learning applied to electronic health records available at the time of inpatient admission can be used to risk-stratify patients with coronavirus disease 2019 for incident delirium. Delirium is common among patients with coronavirus disease 2019, and resource constraints during a pandemic demand careful attention to the optimal application of predictive models.

Delirium as a predictor of mortality and disability among hospitalized patients in Zambia

OBJECTIVE

To study the epidemiology and outcomes of delirium among hospitalized patients in Zambia.

METHODS

We conducted a prospective cohort study at the University Teaching Hospital in Lusaka, Zambia, from October 2017 to April 2018. The primary exposure was delirium duration over the initial 3 days of hospitalization, assessed daily using the Brief Confusion Assessment Method. The primary outcome was 6-month mortality. Secondary outcomes included 6-month disability, evaluated using the World Health Organization Disability Assessment Schedule 2.0.

FINDINGS

711 adults were included (median age, 39 years; 461 men; 459 medical, 252 surgical; 323 with HIV). Delirium prevalence was 48.5% (95% CI, 44.8%-52.3%). 6-month mortality was higher for delirious participants (44.6% [39.3%-50.1%]) versus non-delirious participants (20.0% [15.4%-25.2%]; P < .001). After adjusting for covariates, delirium duration independently predicted 6-month mortality and disability with a significant dose-response association between number of days with delirium and odds of worse clinical outcome. Compared to no delirium, presence of 1, 2 or 3 days of delirium resulted in odds ratios for 6-month mortality of 1.43 (95% CI, 0.73-2.80), 2.20 (1.07-4.51), and 3.92 (2.24-6.87), respectively (P < .001). Odds of 6-month disability were 1.20 (0.70-2.05), 1.73 (0.95-3.17), and 2.80 (1.78-4.43), respectively (P < .001).

CONCLUSION

Among hospitalized medical and surgical patients in Zambia, delirium prevalence was high and delirium duration independently predicted mortality and disability at 6 months. This work lays the foundation for prevention, detection, and management of delirium in low-income countries. Long-term follow up of outcomes of critical illness in resource-limited settings appears feasible using the WHO Disability Assessment Schedule.

Investigating how electroencephalogram measures associate with delirium: A systematic review

Delirium is a common neurocognitive disorder in hospital settings, characterised by fluctuating impairments in attention and arousal following an acute precipitant. Electroencephalography (EEG) is a useful method to understand delirium pathophysiology. We performed a systematic review to investigate associations between delirium and EEG measures recorded prior, during, and after delirium. A total of 1,655 articles were identified using PsycINFO, Embase and MEDLINE, 31 of which satisfied inclusion criteria. Methodological quality assessment was undertaken, resulting in a mean quality score of 4 out of a maximum of 5. Qualitative synthesis revealed EEG slowing and reduced functional connectivity discriminated between those with and without delirium (i.e. EEG during delirium); the opposite pattern was apparent in children, with cortical hyperexcitability. EEG appears to have utility in differentiating those with and without delirium, but delirium vulnerability and the long-term effects on brain function require further investigation. Findings provide empirical support for the theory that delirium is a disorder of reduced functional brain integration.

Reliability of nonlocalizing signs and symptoms as indicators of the presence of infection in nursing-home residents

Antibiotics are among the most common medications prescribed in nursing homes. The annual prevalence of antibiotic use in residents of nursing homes ranges from 47% to 79%, and more than half of antibiotic courses initiated in nursing-home settings are unnecessary or prescribed inappropriately (wrong drug, dose, or duration). Inappropriate antibiotic use is associated with a variety of negative consequences including Clostridioides difficile infection (CDI), adverse drug effects, drug-drug interactions, and antimicrobial resistance. In response to this problem, public health authorities have called for efforts to improve the quality of antibiotic prescribing in nursing homes.

Development and Evaluation of Clinical Practice Guideline for Delirium in Long-Term Care

Delirium is highly prevalent and leads to several bad outcomes for older long-term care (LTC) residents. For a more successful translation of delirium knowledge, Clinical Practice Guidelines (CPGs) tailored to LTC should be developed and applied based on the understanding of the barriers to implementation. This study was conducted to develop a CPG for delirium in LTC and to determine the barriers perceived by healthcare professionals related to the implementation of the CPG. We followed a structured, evidence- and theory-based procedure during the development process. After a systematic search, quality appraisal, and selection for eligible up-to-date CPGs for delirium, the recommendations applicable to the LTC were drafted, evaluated, and confirmed by an external group of experts. To evaluate the barriers to guideline uptake from the users' perspectives, semi-structured interviews were conducted which resulted in four major themes: (1) a lack of resources, (2) a tendency to follow mindlines rather than guidelines, (3) passive attitudes, and (4) misunderstanding delirium care in LTC. To minimize adverse prognoses through prompt delirium care, the implementation of a CPG with an approach that comprehensively considers various barriers at the system, practice, healthcare professional, and patients/family levels is necessary.

Validation of PREdiction of DELIRium in ICu patients (PRE-DELIRIC) among patients in intensive care units: A retrospective cohort study

BACKGROUND

An intensive care unit (ICU) delirium prediction tool, PREdiction of DELIRium in ICu patients (PRE-DELIRIC), has been developed and calibrated in a multinational project. However, there is a lack of evidence regarding the predictive ability of the PRE-DELIRIC among Chinese ICU patients.

AIM

To evaluate the predictive validity (discrimination and calibration) of PRE-DELIRIC.

DESIGN

This is a retrospective cohort study.

METHODS

A retrospective cohort study was conducted. Consecutive participants (a) admitted to the ICU for ≥24 hours, (b) aged ≥18 years, and (c) admitted to the ICU for the first time were included. Ten predictors (age, APACHE-II, urgent and admission category, urea level, metabolic acidosis, infection, coma, sedation, and morphine use) assessed within 24 hours upon ICU admission were assessed. Delirium was assessed using the Confusion Assessment Method for ICU. Outcomes included ICU length of stay and mortality. Discrimination and calibration were determined by the areas under the receiver operating characteristic curve (AUROC), box plot, and calibration plot.

RESULTS

A total of 375 ICU patients were included, with 44.0% of patients being delirious. Delirium was significantly associated with age, PRE-DELIRIC score, ICU length of stay, and mortality. The AUROC was 0.81 (95% confidence interval, 0.77-0.86). The optimal cut-off point identified by max Youden index was 49%. The calibration plot of pooled data demonstrated a calibration slope of 0.894 and an intercept of -0.178.

CONCLUSIONS

The PRE-DELIRIC has high predictive value and is suggested to be adopted in ICUs for early initiation of preventive interventions against delirium among high-risk patients.

RELEVANCE TO CLINICAL PRACTICE

Clinicians can adopt the PRE-DELIRIC among ICU patients to screen patients at high risk of developing delirium. Early initiative interventions could be implemented to reduce the negative impacts of ICU delirium.

Antipsychotic Drugs in Prevention of Postoperative Delirium-What Is Known in 2020?

Delirium is one of the most frequently reported neuropsychiatric complications in the perioperative period, especially in the population of elderly patients who often suffer from numerous comorbidities undergoing extensive or urgent surgery. It can affect up to 80% of patients who require hospitalization in an intensive care setting postoperatively. Delirium increases mortality, morbidity, length of hospital stay, and cost of treatment. An episode of delirium in the acute phase may lower the general quality of life and increases the risk of cognitive decline long-term. Since pharmacological treatment of delirium is not highly effective, focus of research has shifted towards developing preventive strategies. We aimed to perform a review of the topic based on the most recent literature. We conclude that, based on the available data, it seems impossible to make strong recommendations for using antipsychotic drugs in prophylaxis. Further research should answer the question what, if any, benefit patients receive from the pharmacological prevention of delirium, and which agents should be used.

Sleep and Delirium in Older Adults

Purpose of Review

Poor sleep and delirium are common in older patients but recognition and management are challenging, particularly in the intensive care unit (ICU) setting. The purpose of this review is to highlight current research on these conditions, their inter-relationship, modes of measurement, and current approaches to management.

Recent Findings

Sleep deprivation and delirium are closely linked, with shared clinical characteristics, risk factors, and neurochemical abnormalities. Acetylcholine and dopamine are important neurochemicals in the regulation of sleep and wakefulness and their dysregulation has been implicated in development of delirium. In the hospital setting, poor sleep and delirium are associated with adverse outcomes; non-pharmacological interventions are recommended, but tend to be resource intensive and hindered by a lack of reliable sleep measurement tools. Delirium is easier to identify, with validated tools available in both ICU and non-ICU settings; however, an optimal treatment approach remains unclear. Antipsychotics are used widely to prevent and treat delirium, although the efficacy data are equivocal. Bundled non-pharmacologic approaches represent a promising framework for prevention and management.

Summary

Poor sleep and delirium are common problems in older patients. While these phenomena appear linked, a causal relationship is not clearly established. At present, there are no established sleep-focused guidelines for preventing or treating delirium. Novel interventions are needed that address poor sleep and delirium, particularly in older adults.

Postoperative neurocognitive disorders

A decline in cognitive function is a frequent complication of major surgery. Postoperative cognitive impairments have generally been divided into short- (postoperative delirium) and long-term disturbances (postoperative cognitive dysfunction [POCD]). Long-term impairments are often subtle and overlooked. They need to be objectively assessed using neuropsychological tests to be diagnosed. Although POCD has been the subject of considerable research over the past decades, it remains uncertain why some patients do not return to preoperative levels of cognitive function. Surgery and anesthesia have both been implicated to play a role in POCD development, and certain patient-related factors, such as advanced age and low preoperative baseline cognitive function, have consistently been found to predict postoperative cognitive decline. This article will present an overview of POCD and its etiology and provide advice on possible strategies on its prevention.

Getting Back to Normal: A Grounded Theory Study of Function in Post-hospitalized Older Adults

BACKGROUND AND OBJECTIVES

The literature on transitions after hospitalization is based on a medicalized model focusing primarily on medication management and readmission, but little is known about the process older adults engage in to maintain their normal life posthealth event or how older adults define what the transition is. This grounded theory study aimed to describe how older adults understand and define a transition process, what actions they take based on their understanding, and what consequences they experience as they transition.

RESEARCH DESIGN AND METHODS

Adults aged 65 and older discharged from a large Midwestern teaching hospital (N = 14) were interviewed using in-depth one-on-one interviews. Data were analyzed using open, axial, and selective coding.

RESULTS

All participants described the process of transition as moving from a state of normal function to loss, and then working back to a normal state. A conceptual model was developed to illustrate the complexity of movement related to how older adults understand and manage the transition. All participants described starting out being normal until they experienced a major health event (acute or chronic illness). Losing normal involved experiencing a lower level of function both inside and outside the home. Working back to normal was accomplished by two different pathways: those "working to regain" focused on getting back to the level they were at prior to the major health event, whereas those "working to maintain" often involved redefining a new normal. The consequences of the two pathways were quite different, with those working to maintain describing several negative consequences.

DISCUSSION AND IMPLICATIONS

This study provides a detailed understanding of how older adults transition and the complexity of that transition. Findings provide a foundation for broadening our understanding of function beyond typical activities of daily living and reveal a more complex transition process that can span months to years.

Delirium misdiagnosis risk in psychiatry: a machine learning-logistic regression predictive algorithm

BACKGROUND

Delirium is a frequent diagnosis made by Consultation-Liaison Psychiatry (CLP). Numerous studies have demonstrated misdiagnosis prior to referral to CLP. Few studies have considered the factors underlying misdiagnosis using multivariate approaches.

OBJECTIVES

To determine the number of cases referred to CLP, which are misdiagnosed at time of referral, to build an accurate predictive classifier algorithm, using input variables related to delirium misdiagnosis.

METHOD

A retrospective observational study was conducted at Alfred Hospital in Melbourne, collecting data from a record of all patients seen by CLP for a period of 5 months. Data was collected pertaining to putative factors underlying misdiagnosis. A Machine Learning-Logistic Regression classifier model was built, to classify cases of accurate delirium diagnosis vs. misdiagnosis.

RESULTS

Thirty five of 74 new cases referred were misdiagnosed. The proposed predictive algorithm achieved a mean Receiver Operating Characteristic (ROC) Area under the curve (AUC) of 79%, an average 72% classification accuracy, 77% sensitivity and 67% specificity.

CONCLUSIONS

Delirium is commonly misdiagnosed in hospital settings. Our findings support the potential application of Machine Leaning-logistic predictive classifier in health care settings.

Results from a double blinded, randomised, placebo-controlled, feasibility trial of melatonin for the treatment of delirium in older medical inpatients

BACKGROUND

Delirium is common in elderly inpatients, causing distress, cognitive decline and death. No known intervention improves the course of delirium; current treatments are symptomatic, and limited by lack of efficacy and adverse effects. There is an urgent need to find an effective treatment for delirium.

AIMS

To determine the feasibility of a trial of oral melatonin 5 mg nightly for five nights for the treatment of delirium in older medical inpatients, and determine the participants required to demonstrate a clinically and statistically significant decrease in severity of delirium in older medical inpatients treated with melatonin.

METHODS

This was a double blinded, randomised controlled trial in general internal medicine units of a tertiary teaching hospital. Older (≥70 years) inpatients with confusion assessment method positive hyperactive or mixed delirium were suitable for inclusion. Subjects received melatonin 5 mg oral nightly for five nights or matching placebo. The primary outcome was the Memorial Delirium Assessment Scale (MDAS) administered daily.

RESULTS

No adverse effects occurred due to melatonin. In the treatment group, the mean change in MDAS from baseline during treatment period was 2.5 ± 5.0 points, in the placebo group, 2.1 ± 4.1 points, a non-significant difference. A power calculation accounting for drop-out (31.0%), suggests 120 participants would be required to demonstrate with 90% power that melatonin 5 mg reduces the severity of delirium by 3 points or more on MDAS.

CONCLUSIONS

A trial of the hypothesis that 5 mg melatonin nightly for five nights reduces delirium severity in older medical inpatients would require 120 patients, and is feasible.

Melatonergic agents in the prevention of delirium: A network meta-analysis of randomized controlled trials

Disruption of the sleep-wake cycle is a risk factor and a prodromal indicator of delirium. Melatonergic agents may thus play a role in the prevention of delirium. Based upon literature search on eight databases, this systemic review and frequentist model network meta-analysis (NMA) aimed to determine the efficacy and tolerability of melatonergic agents in delirium prevention. Six randomized controlled trials (RCTs) were included with a total of 913 adult participants (mean age = 78.8, mean female proportion = 59.4%) investigating the preventive effects of melatonergic agents in patients with high risks of developing delirium. The outcomes of NMA demonstrated significant preventive effects with 5 mg/day of melatonin [Odds Ratio (OR) = 0.21, 95% Confidence Intervals (CIs): 0.07 to 0.64], melatonin (0.5 mg/d) [OR = 0.16 (95% CIs: 0.03 to 0.75)], and ramelteon (8 mg/d) [OR = 0.28 (95% CIs: 0.12 to 0.65)] against placebo groups. According to the surface under the cumulative ranking curve (SUCRA), 0.5 mg/d of melatonin was associated with the best preventive effect. Our findings provided the rationale for recommending low-dose melatonergic agents for delirium prevention in the practice guidelines.