Predisposing and precipitating risk factors for delirium in palliative care patients

Association between admission Braden Skin Score and delirium in surgical intensive care patients: an analysis of the MIMIC-IV database

Background

The Braden Skin Score (BSS), a tool for assessing pressure ulcers, is increasingly recognized for its prognostic value in various disorders. However, its link to critical delirium in surgical patients remains understudied. This study aimed to explore the association between BSS upon admission and the risk of delirium in SICU patients.

Methods

This retrospective observational cohort study used data from the Medical Information Mart for Intensive Care (MIMIC)-IV database. The primary outcome was incidence of delirium. Feature importance of BSS was initially assessed using a machine learning algorithm, while restricted cubic spline (RCS) models and multivariable logistic analysis evaluated the relationship between BSS and delirium. Additionally, Kaplan-Meier analysis and mediation analysis were conducted to explore interactions among BSS, delirium, and short-term mortality.

Results

A total of 4,899 patients were included in the study, among whom 1,491 were diagnosed with delirium. The Boruta algorithm identified BSS as a significant predictor of delirium occurrence. RCS models demonstrated a non-linear positive relationship between BSS and delirium. Based on RCS curves, the optimal threshold for BSS was established at 16, thereby categorizing participants into two groups: those with BSS < 16 and those with BSS ≥ 16. Multivariable logistic regression analysis revealed that lower BSS was positively correlated with an increased risk of delirium. These findings exhibited robust consistency across subgroup analyses and sensitivity analyses. Furthermore, patients in lower BSS groups had a higher 90-day mortality, with delirium mediating an indirect effect on this outcome.

Conclusion

The low BSS was independently associated with an increased risk of delirium in critically ill surgical patients. Patients exhibiting a BSS below 16 demonstrated heightened susceptibility to the onset of delirium, thereby necessitating vigilant monitoring and timely intervention. Larger prospective studies are needed to confirm these findings.

Assessing the relationship between the distress levels in patients with irreversible terminal delirium and the good quality of death from the perspective of bereaved family

BACKGROUND

Research on achieving a good death for terminally delirious patients is scarce, with limited knowledge about the level of good death and influencing factors. This study investigates the level of good death among delirium patients, factors influencing it, and the correlation between distress, end-of-life care needs, and achieving a good death by surveying bereaved family members of deceased patients in Chinese hospitals.

METHODS

This cross-sectional study from January 2022 to January 2024 was conducted among bereaved family members of patients using an online questionnaire. The questionnaires consisted of (1) participants' demographic and disease-related questionnaires; (2) the Good Death Inventory (GDI) China version; (3) Terminal Delirium-Related Distress Scale (TTDS) China version; (4) the Care Evaluation Scale - short form (CES) China version. All data were analyzed using descriptive statistics, and the associated factors influencing good death were analyzed by multiple linear regression analyses.

RESULT

A total of 263 subjects were enrolled. More males (63.5%) participated than females (36.5%), the mean age was 75.35 ± 13.90 years. Good quality of death was significantly and negatively related to the distress in patients with irreversible terminal delirium (r = -0.458, P<0.01).The multiple linear regression model indicates that TDDS score, CES score, types of diseases, smoking history, nutritional deficiency are important factor affecting the good quality of death.

CONCLUSIONS

The good quality of death from the perspective of bereaved family, a negative correlation was found between the distress in patients with irreversible terminal delirium and good death. Medical staff should be more aware of good quality of death in patients, future research should expand sample sizes to include more demographic data, and explore the concept of a good death across different cultural contexts.

Development of a Prediction Model for Delirium in Hospitalized Patients with Advanced Cancer

PURPOSE

Delirium is a common neurocognitive disorder in patients with advanced cancer and is associated with poor clinical outcomes. As a potentially reversible phenomenon, early recognition of delirium by identifying the risk factors demands attention. We aimed to develop a model to predict the occurrence of delirium in hospitalized patients with advanced cancer.

MATERIALS AND METHODS

This retrospective study included patients with advanced cancer admitted to the oncology ward of four tertiary cancer centers in Korea for supportive cares and excluded those discharged due to death. The primary endpoint was occurrence of delirium. Sociodemographic characteristics, clinical characteristics, laboratory findings, and concomitant medication were investigated for associating variables. The predictive model developed using multivariate logistic regression was internally validated by bootstrapping.

RESULTS

From January 2019 to December 2020, 2,152 patients were enrolled. The median age of patients was 64 years, and 58.4% were male. A total of 127 patients (5.9%) developed delirium during hospitalization. In multivariate logistic regression, age, body mass index, hearing impairment, previous delirium history, length of hospitalization, chemotherapy during hospitalization, blood urea nitrogen and calcium levels, and concomitant antidepressant use were significantly associated with the occurrence of delirium. The predictive model combining all four categorized variables showed the best performance among the developed models (area under the curve 0.831, sensitivity 80.3%, and specificity 72.0%). The calibration plot showed optimal agreement between predicted and actual probabilities through internal validation of the final model.

CONCLUSION

We proposed a successful predictive model for the risk of delirium in hospitalized patients with advanced cancer.

Can admission Braden skin score predict delirium in older adults in the intensive care unit? Results from a multicenter study

AIMS AND OBJECTIVES

To investigate whether a low Braden Skin Score (BSS), reflecting an increased risk of pressure injury, could predict the risk of delirium in older patients in the intensive care unit (ICU).

BACKGROUND

Delirium, a common acute encephalopathy syndrome in older ICU patients, is associated with prolonged hospital stay, long-term cognitive impairment and increased mortality. However, few studies have explored the relationship between BSS and delirium.

DESIGN

Multicenter cohort study.

METHODS

The study included 24,123 older adults from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database and 1090 older adults from the eICU Collaborative Research Database (eICU-CRD), all of whom had a record of BSS on admission to the ICU. We used structured query language to extract relevant data from the electronic health records. Delirium, the primary outcome, was primarily diagnosed by the Confusion Assessment Method for the ICU or the Intensive Care Delirium Screening Checklist. Logistic regression models were used to validate the association between BSS and outcome. A STROBE checklist was the reporting guide for this study.

RESULTS

The median age within the MIMIC-IV and eICU-CRD databases was approximately 77 and 75 years, respectively, with 11,195 (46.4%) and 524 (48.1%) being female. The median BSS at enrollment in both databases was 15 (interquartile range: 13, 17). Multivariate logistic regression showed a negative association between BSS on ICU admission and the prevalence of delirium. Similar patterns were found in the eICU-CRD database.

CONCLUSIONS

This study found a significant negative relationship between ICU admission BSS and the prevalence of delirium in older patients.

RELEVANCE TO CLINICAL PRACTICE

The BSS, which is simple and accessible, may reflect the health and frailty of older patients. It is recommended that BSS assessment be included as an essential component of delirium management strategies for older patients in the ICU.

NO PATIENT OR PUBLIC CONTRIBUTION

This is a retrospective cohort study, and no patients or the public were involved in the design and conduct of the study.

Clinical assessment and short-term mortality prediction of older adults with altered mental status using RASS and 4AT tools

BACKGROUND

Altered mental status (AMS) in older adults is a common reason for admission to emergency departments (EDs) and usually results from delirium, stupor, or coma. It is important to proficiently identify underlying factors and anticipate clinical outcomes for those patients.

AIM

The primary objective of this study was to reveal and compare the clinical outcomes and etiologic factors of older patients with delirium, stupor, and coma. The secondary objective was to identify the 30-day mortality risk for those patients.

METHOD

The study was conducted as prospective and observational research. We included patients aged 65 years and older who presented with new-onset neurological and cognitive symptoms or worsening in baseline mental status. Patients who presented no change in their baseline mental status within 48 h and those who needed urgent interventions were excluded. Selected patients were assessed using RASS and 4AT tools and classified into three groups: stupor/coma, delirium, and no stupor/coma or delirium (no-SCD). Appropriate statistical tests were applied to compare these 3 groups. The 30-day mortality risks were identified by Cox survival analysis and Kaplan-Meier curve.

RESULTS

A total of 236 patients were eligible for the study. Based on their RASS and 4AT test scores: 56 (23.7%), 94 (40.6%), and 86 (36.4%) patients formed the stupor/coma, delirium and no-SCD groups, respectively. There was no statistical difference in the three groups for gender, mean age, and medical comorbidities. Neurological (34.7%), infectious (19.4%), and respiratory (19.0%) diseases were the leading factors for AMS. Post-hoc tests showed that CCI scores of the delirium (6, IQR = 3) and stupor/coma (7, IQR = 3) groups were not significantly different. The 30-day mortality rates of stupor/coma, delirium, and no-SCD groups were 42.%, 15.9%, and 12.8%, respectively (p < 0.005). The hazard ratio of the stupor/coma group was 2.79 (CI: 95%, 1.36-5.47, p = 0.005).

CONCLUSION

AMS remains a significant clinical challenge in EDs. Using the RASS and 4AT tests provides benefits and advantages for emergency medicine physicians. Neurological, infectious, and respiratory diseases can lead to life-threatening mental deterioration. Our study revealed that long-term mortality predictor CCI scores were quite similar among patients with delirium, stupor, or coma. However, the short-term mortality was significantly increased in the stupor/coma patients and they had 2.8 times higher 30-day mortality risk than others.

Thoracic delirium index for predicting postoperative delirium in elderly patients following thoracic surgery: A retrospective case-control study

BACKGROUND

Postoperative delirium (POD) is an acute neurological complication in the elderly undergoing thoracic surgery and can result in serious adverse consequences.

AIMS

This study aimed to identify the related risk factors for POD following thoracic surgery, primarily focusing on preoperative serum biomarkers, and further to establish a novel delirium index to better predict POD.

METHODS

A total of 279 patients aged ≥60 years who underwent elective thoracic surgery from August 2021 to August 2022 were enrolled in this observational study. The platelet-to-white blood cell ratio (PWR) was calculated as number the of platelets divided by the number of white blood cells. POD was defined by the confusion assessment method twice daily during the postoperative first 3 days. Multivariate regression analysis was performed to identify all potential variables for POD. Moreover, a novel thoracic delirium index (TDI) was developed based on the related risk factors. The accuracy of TDI and its component factors in predicting POD was determined by the curve of receiver operating characteristic (ROC).

RESULTS

In total, 25 of 279 patients developed POD (8.96%). Age, PWR, and average pain scores within the first 3 days after surgery were regarded as the independent risk factors for POD. Moreover, the ROC analysis showed the TDI, including age, PWR, and average pain scores within the first 3 days after surgery, can more accurately predict POD with the largest area under the curve of 0.790 and the optimal cutoff value of 9.072, respectively.

CONCLUSION

The TDI can scientifically and effectively predict POD to provide optimal clinical guidance for older patients after thoracic surgery.

Delivering Palliative and Supportive Care for Older Adults with Cancer: Interactions between Palliative Medicine and Geriatrics

The world's population is aging rapidly, with projections indicating that by 2050 one in six people will be aged ≥65 years. As a result, the number of cancer cases in older people is expected to increase significantly. Palliative care is an essential component of cancer care with a direct impact on quality of life. However, older adults with cancer often suffer from multiple comorbidities, cognitive impairment, and frailty, posing unique challenges in the delivery of palliative care. The complex healthcare needs of older patients with cancer therefore require a comprehensive assessment, including a geriatric evaluation. Collaboration between geriatrics and palliative care can offer a solution to the challenges faced by older people with cancer, since this is a population with overlapping concerns for both disciplines. This review highlights the importance of palliative care for older adults with cancer and the benefits of a multidisciplinary approach. It also addresses the coordination of palliative care and geriatrics for specific symptom management and decision making.

[End-of-Life Dreams and Visions]

End-of-Life Dreams and Visions Abstract: End-of life dreams and visions (ELDVs) or so-called death bed phenomena are transcendent experiences at the end of life that can be visual, auditory and/or kinesthetic, and often include visions of (deceased) loved ones, close friends or perceptions of places, travels, bright lights, or music. ELDVs typically occur weeks to hours prior to death and may comfort the dying and prepare spiritually for the end of life. Such experiences are frequently reported by dying individuals, the prevalence varying between 30 and 80%, but in the clinical context ELDVs are usually neglected, but interpreted and treated as pathological changes in the brain that result in, and from, delirium. This article tries to enlighten the occurrence, the contents and meanings of ELDVs in dying persons as opposed to delirium and night dreams using findings from the literature and from clinical observations. Implications of these conclusions for palliative care and the therapeutic relevance of ELDVs when taking care of dying individuals and their loved ones will also be discussed.

Risk factors for delirium in advanced cancer patients: A systematic review and meta-analysis

PURPOSE

To systematically collect published research in order to identify and quantify risk factors for delirium in advanced cancer patients.

METHODS

The Cochrane Library, PubMed, Proquest, CINAHL, Web of Science, Ovid MEDLINE, Embase, Scopus, Chinese Wanfang Data, Chinese Periodical Full-text Database (VIP), Chinese Biomedical Literature Database (CBM), and Chinese National Knowledge Infrastructure (CNKI) were systematically searched for cohort or case-control studies reporting individual risk factors for delirium among advanced-stage cancer patients published prior to March 2022. The Newcastle-Ottawa Scale was used to assess the methodological quality of included studies. The pooled adjusted odds ratio (aOR) and its 95% confidence interval were calculated using the RevMan 5.4 software package.

RESULTS

A total of 15 studies with data from 3106 advanced cancer patients were included in our analysis. Nine studies were high-quality and six were of moderate quality. Pooled analyses revealed that 11 risk factors were statistically significant. High-intensity risk factors included sleep disturbance, infection, cachexia and the Palliative Prognostic Index; medium-intensity risk factors included male sex, renal failure, dehydration and drowsiness; low-intensity risk factors included age, total bilirubin and opioid use. Antibiotic use was found to have been a protective factor.

CONCLUSIONS

We identified 12 independent risk factors that were significantly associated with delirium in advanced cancer patients and provide an evidence-based foundation to implement appropriate preventive strategies.

Update on Prevalence of Pain in Patients with Cancer 2022: A Systematic Literature Review and Meta-Analysis

Experiencing pain and insufficient relief can be devastating and negatively affect a patient's quality of life. Developments in oncology such as new treatments and adjusted pain management guidelines may have influenced the prevalence of cancer pain and severity in patients. This review aims to provide an overview of the prevalence and severity of pain in cancer patients in the 2014-2021 literature period. A systematic literature search was performed using the databases PubMed, Embase, CINAHL, and Cochrane. Titles and abstracts were screened, and full texts were evaluated and assessed on methodological quality. A meta-analysis was performed on the pooled prevalence and severity rates. A meta-regression analysis was used to explore differences between treatment groups. We identified 10,637 studies, of which 444 studies were included. The overall prevalence of pain was 44.5%. Moderate to severe pain was experienced by 30.6% of the patients, a lower proportion compared to previous research. Pain experienced by cancer survivors was significantly lower compared to most treatment groups. Our results imply that both the prevalence of pain and pain severity declined in the past decade. Increased attention to the assessment and management of pain might have fostered the decline in the prevalence and severity of pain.

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.

A simple risk score list can be used to predict the occurrence of delirium in patients admitted to inpatient hospice care: A medical record study

OBJECTIVE

This study aimed to examine whether the 10-item Risk Score List (RSL) accurately predicts delirium in patients admitted to inpatient hospice care and whether this instrument can be simplified. Determining the risk for developing delirium can help to treat these patients in a timely manner.

METHODS

This was a retrospective medical record study in patients who died in 2019 or 2020 in three hospices. Predictive values were examined using Cox regression analysis, crosstabs, and C-statistic.

RESULTS

In total, 240 patients were included. Median age at admission was 78 (IQR 70-84) years. Primary diagnosis most often was cancer (n = 186, 78%); 173 (72%) patients had an increased risk of delirium according to RSL, of whom 120 (69%) developed delirium. Overall, 147 (61%) patients developed delirium. The RSL significantly predicted future delirium (HR 3.25, CI 1.87-5.65, p < 0.01) and had a sensitivity of 85%, a specificity of 43%, positive predictive value of 62%, negative predictive value of 73%, and a C-statistic of 0.64. Simplifying the RSL to four items still significantly predicted future delirium, with similar predictive values.

CONCLUSION

Delirium occurs in more than half of patients admitted to hospice care. The RSL can be simplified to four items, without compromising on predictive accuracy.

The Age-adjusted Charlson Comorbidity Index predicts post-operative delirium in the elderly following thoracic and abdominal surgery: A prospective observational cohort study

Background

Post-operative delirium (POD) presents as a serious neuropsychiatric syndrome in the elderly undergoing thoracic and abdominal surgery, which is mostly associated with poor prognosis. The Age-adjusted Charlson Comorbidity Index (ACCI) has been widely recognized as an independently predictive factor for overall survival rate and mortality in various surgeries. However, no studies demonstrated the potential relationship between ACCI and POD. The current study was to explore the correlation between ACCI and POD, and determine the predictive effect of ACCI on POD in the elderly after thoracic and abdominal surgery.

Materials and methods

Total 184 patients (≥60 years) who underwent thoracic and abdominal surgery from 2021.10 to 2022.5 were enrolled in this prospective observational cohort study. ACCI was calculated by weighting comorbidities and age. POD was diagnosed using Confusion Assessment Method (CAM) twice a day in the first 3 days after surgery. The Visual Analog Scale (VAS) was applied to measure pre-operative and post-operative pain at rest and in motion. All demographic and perioperative data were compared in patients with POD and without POD. ACCI and other variables were analyzed by univariate and multivariate logistic regression analysis. The characteristic curve of receiver operating characteristic (ROC) was used to further evaluate the accuracy of ACCI to predict POD.

Results

Post-operative delirium was diagnosed in 36 of 184 patients included in our study. The prevalence of POD in the elderly after thoracic and abdominal surgery was 19.6%. The outcomes by multivariate regression analysis showed the independent risk factors for POD were ACCI (OR: 1.834; 95%CI: 1.434–2.344; P < 0.001), pre-operative Mini-Mental State Examination (MMSE) scores (OR: 0.873; 95%CI: 0.767–0.994; P = 0.040), serum albumin (OR: 0.909; 95%CI: 0.826–1.000; P = 0.049) and pain scores in the post-operative third day (OR: 2.013; 95%CI: 1.459–2.778; P < 0.001). ACCI can predict POD more accurately with the largest area under curve (AUC) of 0.794 and sensitivity of 0.861, respectively.

Conclusion

Age-adjusted Charlson Comorbidity Index, pre-operative MMSE scores, serum albumin and post-operative pain were independently associated with POD in geriatric patients following thoracic and abdominal surgery. Moreover, ACCI may become an accurate indicator to predict POD early.

Risk factors for delirium in adult patients receiving specialist palliative care: A systematic review and meta-analysis

BACKGROUND

Delirium is common and distressing for patients receiving palliative care. Interventions targetting modifiable risk factors in other settings have been shown to prevent delirium. Research on delirium risk factors in palliative care can inform context-specific risk-reduction interventions.

AIM

To investigate risk factors for the development of delirium in adult patients receiving specialist palliative care.

DESIGN

Systematic review and meta-analysis (PROSPERO CRD42019157168).

DATA SOURCES

CINAHL, Cochrane Database of Systematic Reviews, Embase, MEDLINE and PsycINFO (1980-2021) were searched for studies reporting the association of risk factors with delirium incidence/prevalence for patients receiving specialist palliative care. Study risk of bias and certainty of evidence for each risk factor were assessed.

RESULTS

Of 28 included studies, 16 conducted only univariate analysis, 12 conducted multivariate analysis. The evidence for delirium risk factors was limited with low to very low certainty.

POTENTIALLY MODIFIABLE RISK FACTORS

Opioids and lower performance status were positively associated with delirium, with some evidence also for dehydration, hypoxaemia, sleep disturbance, liver dysfunction and infection. Mixed, or very limited, evidence was found for some factors targetted in multicomponent prevention interventions: sensory impairments, mobility, catheter use, polypharmacy (single study), pain, constipation, nutrition (mixed evidence).

NON-MODIFIABLE RISK FACTORS

Older age, male sex, primary brain cancer or brain metastases and lung cancer were positively associated with delirium.

CONCLUSIONS

Findings may usefully inform interventions to reduce delirium risk but more high quality prospective cohort studies are required to enable greater certainty about associations of different risk factors with delirium during specialist palliative care.

The prevalence, associated factors, clinical impact, and state of diagnosis of delirium in palliative care patients

PURPOSE

The aim of this study is to establish the prevalence, associated factors, and clinical impact of delirium in newly referred palliative care patients and the percentage of delirium diagnoses missed by primary medical teams.

METHODS

Newly referred palliative care patients were evaluated and were reviewed for possible associated factors of delirium. Univariable and multivariable analysis were used to identify associated factors. Median overall survival and survival curves were analyzed. The percentage of missed diagnosis in IPD patients was identified.

RESULTS

We included 350 palliative care patients. Nearly all patients had cancer diagnosis (96.6%). The overall prevalence of delirium was 44.0%. The independent associated factors of delirium were age ≥ 63 years (adjusted odds ratio [aOR], 7.0; 95% CI, 2.2-22.9), palliative performance scale ≤ 20% (aOR, 54.5; 95% CI, 13.1-228.0), brain metastasis (aOR, 15.6; 95% CI, 3.7-66.7), urinary tract infection (aOR, 18.8; 95% CI, 4.7-75.5), sepsis (aOR, 59.0; 95% CI, 4.4-797.8), hyponatremia (aOR, 8.8; 95% CI, 2.6-29.8), and hypercalcemia (not applicable). Interestingly, opioids and benzodiazepines were not associated with delirium. Delirious patients had significantly shorter survival (median survival 11 days). Delirium diagnoses were missed for 76.1%.

CONCLUSION

Nearly half of the palliative care patients had delirium, which was associated with noticeably short survivals. We identified the independent factors associated with the delirium. Despite having a remarkably high prevalence rate and being a well-known poor prognostic factor, there was still a very high rate of missed delirium diagnoses. Effective, routine, delirium screening of palliative care patients needs to be emphasized.

Delirium is associated with an increased morbidity and in-hospital mortality in cancer patients: Results from a prospective cohort study

OBJECTIVE

Delirium is a frequent complication in advanced cancer patients, among whom it is frequently underdiagnosed and inadequately treated. To date, evidence on risk factors and the prognostic impact of delirium on outcomes remains sparse in this patient population.

METHOD

In this prospective observational cohort study at a single tertiary-care center, 1,350 cancer patients were enrolled. Simple and multiple logistic regression models were utilized to identify associations between predisposing and precipitating factors and delirium. Cox proportional-hazards models were used to estimate the effect of delirium on death rate.

RESULTS

In our patient cohort, the prevalence of delirium was 34.3%. Delirium was associated inter alia with prolonged hospitalization, a doubling of care requirements, increased healthcare costs, increased need for institutionalization (OR 3.22), and increased mortality (OR 8.78). Predisposing factors for delirium were impaired activity (OR 10.82), frailty (OR 4.75); hearing (OR 2.23) and visual impairment (OR 1.89), chronic pneumonitis (OR 2.62), hypertension (OR 1.46), and renal insufficiency (OR 1.82). Precipitating factors were acute renal failure (OR 7.50), pressure sores (OR 3.78), pain (OR 2.86), and cystitis (OR 1.32). On multivariate Cox regression, delirium increased the mortality risk sixfold (HR 5.66). Age ≥ 65 years and comorbidities further doubled the mortality risk of delirious patients (HR 1.77; HR 2.05).

SIGNIFICANCE OF RESULTS

Delirium is common in cancer patients and associated with increased morbidity and mortality. Systematically categorizing predisposing and precipitating factors might yield new strategies for preventing and managing delirium in cancer patients.

The Association Between Frailty and Delirium Among Hospitalized Patients: An Updated Meta-Analysis

OBJECTIVE

The aim of our meta-analysis was to update evidence for the association between frailty and delirium in different types of hospitalized patients, given the large volume of new studies with inconsistent results.

DESIGN

Systematic review and meta-analysis.

SETTING AND PARTICIPANTS

In this updated meta-analysis, we searched 3 databases (Embase, PubMed, and the Cochrane Library) for observational studies, exploring the association between frailty and delirium from database inception to September 21, 2020, among hospitalized patients. Relevant data were extracted from the studies that were included. A random effects model was conducted to synthesize and pool the effect size of frailty on delirium due to different frailty score instruments, different countries, and various delirium assessments that were used. The participants enrolled in this meta-analysis were hospitalized patients.

MEASURES

Delirium risk due to frailty.

RESULTS

A total of 30 independent studies from 9 countries, consisting of 217,623 patients, was identified, and the prevalence of frailty ranged from 16.20% to 78.00%. Frail patients exhibited an increased risk for delirium compared to those without frailty [odds ratio (OR) 2.96, 95% confidence interval (CI) 2.36-3.71]. In addition, different types of hospitalized patients had various OR values, which were 2.43 for selective surgical patients (95% CI 1.88-3.14), 3.61 for medical patients (95% CI 3.61-7.89), 3.76 for urgent surgical patients (95% CI 2.88-4.92), and 6.66 for emergency or critical illness patients (95% CI 1.41-31.47). Subgroup analysis based on the frailty score instrument showed the association still existed when using the Clinical Frailty Scale (OR 4.07, 95% CI 2.71-6.11), FRAIL Scale (OR 2.83, 95% CI 1.56-5.13), Frailty Index (OR 6.15, 95% CI 3.75-10.07), frailty phenotype (OR 2.30, 95%CI 1.35-5.66), or Erasmus Frailty Score (OR 2.79, 95% CI 1.63-4.77). However, an association between frailty and delirium was not observed when the Edmonton Frail Scale was used (OR 1.45, 95% CI 0.91-2.30).

CONCLUSIONS AND IMPLICATIONS

A 2.96-fold incremental risk of delirium in frail patients underscores the need for early screening of frailty and comprehensive delirium prevention. Appropriate interventions by clinicians should be performed to manage delirium, potentially reducing adverse clinical outcomes for hospitalized patients.

Delirium in trauma patients: a 1-year prospective cohort study of 2026 patients

Background

Delirium in trauma surgery is common, especially post-operatively, but medical characteristics, risk factors and residence post-discharge have not comprehensively been investigated in all trauma patients.

Methods

Over 1 year, 2026 trauma patients were prospectively screened for delirium with the following tools: Delirium Observation screening scale (DOS), Intensive Care Delirium Screening Checklist (ICDSC) and a DSM (Diagnostic and Statistical Manual)-5, nursing tool (ePA-AC) construct. Risk factors—predisposing und precipitating—for delirium were assessed via multiple regression analysis.

Results

Of 2026 trauma patients, 440 (21.7%) developed delirium, which was associated with an increased risk of assisted living (OR 6.42, CI 3.92–10.49), transfer to nursing home (OR 4.66, CI 3.29–6.6), rehabilitation (OR 3.96, CI 3.1–5.1), or death (OR 70.72, CI 22–227.64). Intensive care management (OR 18.62, CI 14.04–24.68), requirement of ventilation (OR 32.21, CI 21.27–48.78), or its duration (OR 67.22, CI 33.8–133.71) all increased the risk for developing delirium. Relevant predisposing risk factors were dementia (OR 50.92, CI 15.12–171.45), cardiac insufficiency (OR 11.76, CI 3.6–38.36), and polypharmacy (OR 5.9, CI 4.01–8.68).Relevant precipitating risk factors were brain edema (OR 40.53, CI 4.81–341.31), pneumonia (OR 39.66, CI 8.89–176.93) and cerebral inflammation (OR 21.74, CI 2.34–202.07).

Conclusion

Delirium in trauma patients is associated with poor outcome as well as with intensive care management and various predisposing and/or precipitating factors. Three quarters of patients who had undergone delirium were not able to live independently at home any more.

Supplementary Information

The online version contains supplementary material available at 10.1007/s00068-021-01603-5.

The economic cost of delirium: A systematic review and quality assessment

INTRODUCTION

This review aims to systematically identify and appraise the methodological quality of claims on the cost of delirium; and discuss challenges and opportunities for improvements in the precision of the estimates.

METHODS

Searches of scientific papers and gray literature were performed up until June 2020. The Larg and Moss checklist was used to assess the methodological quality of the included studies.

RESULTS

After deduplication, the search identified 317 potentially relevant articles, of which 17 articles were eligible for inclusion. After adjusting for inflation and common currency, the cost of delirium ranged between $806 and $24,509 (in 2019 US$).

DISCUSSION

This review found significant variation among the cost estimates and methodological quality. There has been limited focus on dementia as a sequela of delirium in terms of economic implications, but recent evidence suggests cost implications of delirium may be 52% higher when dementia is considered.

Risk Factors for Delirium Are Different in the Very Old: A Comparative One-Year Prospective Cohort Study of 5,831 Patients

Background: In an ever-aging society, health care systems will be confronted with an increasing number of patients over 80 years ("the very old"). Currently, knowledge about and recommendations for delirium management are often based on studies in patients aged 60 to 65 years. It is not clear whether these findings apply to patients ≥80 years. Aim: Comparison of younger and older patients with delirium, especially regarding risk factors. Methods: In this prospective cohort study, within 1-year, 5,831 patients (18-80 years: n = 4,730; ≥80: n = 1,101) with delirium were enrolled. The diagnosis of delirium was based on the Delirium Observation screening scale (DOS), Intensive Care Delirium Screening Checklist (ICDSC) and a DSM (Diagnostic and Statistical Manual)-5 construct of nursing instrument. Sociodemographic trajectories, as well as the relevant predisposing and precipitating factors for delirium, were assessed via a multiple regression analysis. Results: The very old were more commonly admitted as emergencies (OR 1.42), had a greater mortality risk (OR 1.56) and displayed fewer precipitating risk factors for the development of a delirium, although the number of diagnoses were not different (p = 0.325). Predisposing factors were sufficient almost alone for the development of delirium in patients ≥ 80 years of age; in 18-80 years of age, additional precipitating factors had to occur to make a delirium possible. Conclusion: When relevant predisposing factors for delirium are apparent, patients over 80 years of age require comparatively few or no precipitating factors to develop delirium. This finding should be taken into account at hospitalization and may allow better treatment of delirium in the future.

Risk Factors for Delirium in the Palliative Care Population: A Systematic Review and Meta-Analysis

Objective: Delirium is common and highly distressing for the palliative care population. Until now, no study has systematically reviewed the risk factors of delirium in the palliative care population. Therefore, we performed a systematic review and meta-analysis to evaluate delirium risk factors among individuals receiving palliative care. Methods: We systematically searched PubMed, Medline, Embase, and Cochrane database to identify relevant observational studies from database inception to June 2021. The methodological quality of the eligible studies was assessed by the Newcastle Ottawa Scale. We estimated the pooled adjusted odds ratio (aOR) for individual risk factors using the inverse variance method. Results: Nine studies were included in the review (five prospective cohort studies, three retrospective case-control studies and one retrospective cross-section study). In pooled analyses, older age (aOR: 1.02, 95% CI: 1.01-1.04, I ² = 37%), male sex (aOR:1.80, 95% CI: 1.37-2.36, I ² = 7%), hypoxia (aOR: 0.87, 95% CI: 0.77-0.99, I ² = 0%), dehydration (aOR: 3.22, 95%CI: 1.75-5.94, I ² = 18%), cachexia (aOR:3.40, 95% CI: 1.69-6.85, I ² = 0%), opioid use (aOR: 2.49, 95%CI: 1.39-4.44, I ² = 0%), anticholinergic burden (aOR: 1.18, 95% CI: 1.07-1.30, I ² = 9%) and Eastern Cooperative Oncology Group Performance Status (aOR: 2.54, 95% CI: 1.56-4.14, I ² = 21%) were statistically significantly associated with delirium. Conclusion: The risk factors identified in our review can help to highlight the palliative care population at high risk of delirium. Appropriate strategies should be implemented to prevent delirium and improve the quality of palliative care services.