Delirium Group Research Articles

Protocol for a prospective, longitudinal cohort study on the incidence of dementia after the onset of delirium in patients with mild cognitive impairment: MDDCohort (Mild Cognitive Impairment Delirium Dementia)

BackgroundMild cognitive impairment (MCI) is a major risk factor for delirium. Few studies with mid- to long-term follow-up periods have examined delirium, MCI, and the conversion of MCI to dementia. This prospective, longitudinal cohort study aims to assess the incidence of dementia after delirium onset in patients with MCI and to develop an artificial intelligence algorithm for predicting the conversion of MCI to dementia.MethodsA 30-day evaluation for delirium will be performed for adults aged ≥ 65 years diagnosed with MCI who score 18–23 on the Korean Mini-Mental State Exam. Individuals exhibiting delirium at least once will be classified into the delirium group and the remainder into the non-delirium group. Over 3 years, patients will undergo follow-ups for survival and conversion to dementia at 30-day intervals to analyze risk factors for delirium and clinical outcomes. Differences between the two groups will be analyzed using the chi-square and independent t-tests. Kaplan-Meier survival and Cox proportional hazard regression will be used to assess the effects on 30-day, 60-day, 12-month, 24-month, and 36-month mortality, whereas linear regression will be used to assess the length of stay at long-term care facilities and medical costs.DiscussionThe results will emphasize the importance of preventing delirium in MCI patients, and preventive interventions can be strengthened.Trial RegistrationNCT05113446 (ClinicalTrials.gov). Registered 9 November 2021 - Retrospectively registered.

Systemic immune inflammatory index (SII) and systemic inflammatory response index (SIRI) as predictors of postoperative delirium in patients undergoing off-pump coronary artery bypass grafting (OPCABG) with cerebral infarction

ObjectivePostoperative delirium (POD) is a common complication following off-pump coronary artery bypass grafting (OPCABG) and is associated with significant morbidity. This study aims to evaluate the correlation of systemic immune inflammatory index (SII) and systemic inflammatory response index (SIRI) with postoperative delirium (POD) in patients with cerebral infarction undergoing OPCABG.MethodsThe perioperative cohort study included 321 patients who underwent OPCABG. Patients were divided into two groups based on the occurrence of POD: the delirium group (n = 113) and the non-delirium group (n = 208). Baseline characteristics, including gender, left ventricular ejection fraction (LVEF), surgery duration, hypertension, age, and smoking history were analyzed. SII and SIRI values were calculated preoperatively, and their association with POD was assessed using univariate and multivariate logistic regression analyses. Receiver operating characteristic (ROC) curves were used to evaluate the predictive accuracy of SII and SIRI.ResultsStatistical differences between SII and SIRI in the two groups (P < 0.05) were observed. Multivariate analysis confirmed that SII and SIRI, age and preoperative smoking history were predictors of POD. ROC curve analysis demonstrated that SII and SIRI had considerable predictive power, with AUC values of 0.73 (0.67–0.79) for SII and 0.75 (0.69–0.81) for SIRI.ConclusionSII and SIRI were found to be associated with an increased risk of POD in patients undergoing OPCABG, but further research is needed to confirm these findings and determine their independence as risk factors.

Refining Research Diagnostic Criteria for Catatonia Among Delirium, Medical, Affective, and Psychosis Patient Groups.

The authors proposed catatonia diagnostic criteria that require the presence of three neuropsychiatric symptom clusters, rated over 24 hours; this system differs from other symptom clustering proposals and is intended to increase diagnostic rigor over Bush-Francis Catatonia Rating Scale (BFCRS) or DSM-5 criteria. By applying new BFCRS item score thresholds, symptoms were clustered into three categories to comprise the Research Diagnostic Criteria for Catatonia (RDCC): akinesia (criterion A), unusual motor signs (criterion B), and behavioral signs (criterion C). RDCC symptom clusters were analyzed in four prospectively evaluated patient groups (delirium, medical, affective, and psychosis) (N=341). Use of the RDCC, compared with the DSM-5-TR and BFCRS, resulted in far fewer diagnoses of catatonia in the four patient groups: medical, N=1 out of 42 (2%); affective, N=1 out of 45 (2%); psychosis, N=3 out of 53 (6%); and delirium, N=0 out of 201. Permutations of the RDCC with more relaxed criteria were assessed, requiring either symptom thresholds or numbers of symptoms to meet criteria, resulting in catatonia rate gradations between those obtained with the RDCC and those obtained with current systems. The Cochrane Q test found that the DSM-5-TR was not dissimilar to the RDCC, if fulfilling numerical thresholds for criteria A-C, although any level of symptom severity was allowed. Confirmatory factor analysis with three goodness-of-fit indexes validated the RDCC. The RDCC requires akinetic symptoms on the basis of literature demonstrating their high BFCRS prevalence and exploratory factor analysis co-loadings, plus symptoms from unusual motor and behavioral signs. Compared with current lenient diagnostic approaches, having the symptoms required by the RDCC produced lower catatonia rates in the psychosis, affective, and medical groups and revealed no patients with catatonia in the delirium group. Subdividing DSM-5-TR symptoms into several different criteria may improve diagnosis. RDCC symptom clusters are both research data-based and amenable to further research for validation.

Association between intraoperative electroencephalogram burst suppression and postoperative delirium: A systematic review and meta-analysis.

Electroencephalogram burst suppression can be associated with postoperative delirium; however, the results of relevant studies are discrepant. This systematic review and meta-analysis aimed to assess the association between intraoperative burst suppression and postoperative delirium in adult surgical patients. PubMed, MEDLINE, Embase, Google Scholar, and the Cochrane Central Register of Controlled Trials were systematically searched and updated in May 2023. We included cohort studies, case-control studies, and randomized-controlled studies reporting on postoperative delirium incidence with documented intraoperative burst suppression in adults receiving general anesthesia for any surgery. The primary outcome was the pooled odds ratio (OR) for postoperative delirium in cases with intraoperative burst suppression compared to those without burst suppression, calculated using a random-effects model. Two independent investigators extracted the data. The protocol was prospectively registered in PROSPERO (registration number: CRD42022326479); the results were reported according to PRISMA guidelines. Fourteen studies (6435 patients) were included in the analysis. The overall incidence of postoperative delirium was 21.1% (1358/6435). Patients with intraoperative burst suppression had a higher incidence of postoperative delirium than those without burst suppression (pooled OR, 1.492; 95% confidence interval (CI) [1.022-2.178]; I2 =44%; 95% CI [0%-75%]; τ2 = 0.110). The intraoperative duration of burst suppression was significantly longer in patients who developed postoperative delirium (standardized mean difference [SMD] 0.462 [95% CI, 0.293-0.632]; I2 = 63%; 95% CI [16%-84%]; τ2 = 0.027). The burst suppression ratio was significantly higher in the delirium group (SMD 0.150; 95% CI [0.055-0.245]; I2 = 0%; 95% CI [0%-85%]; τ2 = 0.00). Our meta-analysis suggests an association between intraoperative burst suppression and postoperative delirium; however, the quality of evidence was very low. The limited number of studies and substantial heterogeneity across them emphasize the need for further high-quality studies to establish a more robust conclusion.

Delirium event and associated treatment modifications among older adults with Alzheimer's disease: An interrupted time-series analysis of Medicare data.

Both Alzheimer's disease (AD) and deliriogenic medications increase the risk of delirium in older adults. This study examined the association between delirium and the subsequent monthly use of anticholinergic, sedative, and opioid medications in the 1 year after delirium in older adults with AD. This comparative interrupted time series analysis involved adults (aged 65 years and older) with a diagnosis of AD initiating on cholinesterase inhibitors (ChEIs) based on 2013-2017 Medicare data. Separate patient-level segmented regression models were used for each outcome to evaluate changes in the cumulative anticholinergic burden (CAB), sedative load, and opioid load after the delirium/index event using a 12-month baseline and follow-up period among patients who had a delirium event and those without delirium (control group). Propensity score-based stabilized weights were utilized to balance baseline factors in the delirium and control groups. The study included 80,019 older adults with AD with incident ChEI use; 17.11% had delirium. There was an immediate decline in monthly CAB after the delirium event (mean estimate -0.86, p-value: 0.01) compared to the control group. A similar decline was observed when examining the sedative load (-0.06, p-value: 0.002) after the delirium event. However, there was no decline in opioid load (-0.50, p-value: 0.18). In the long term, CAB (0.13; p-value: <0.0001), sedative load (0.01; p-value: <0.001), and opioid load (0.07; p-value: 0.006) increased over the 1-year post-delirium period in the delirium group compared to those without delirium. This study found the burden of deliriogenic medications over the 1-year follow-up showed increasing trends in older adults with AD, even though there was some level shift in CAB and sedative load after the delirium event.

Delirium in Lower Limb Trauma: The Incidence and Risk Factors in a Prospective Observational Study.

Delirium poses a significant challenge in musculoskeletal trauma patients, particularly the elderly, contributing to elevated morbidity and mortality. Despite unclear pathogenesis, various risk factors have been identified. This prospective observational study, conducted in a tertiary center, aims to estimate delirium incidence and identify associated risk factors in adult patients undergoing lower limb trauma surgeries. Between August 2021 and December 2022, 150 patients with lower limb trauma admitted for surgery were included. Initial assessments recorded Mini-Mental State Examination scores, Injury Severity Scores, and potential risk factors. Confusion Assessment Method scoring done preoperatively (excluding emergencies) and postoperatively on days 2 and 5 or at discharge. Daily delirium screening utilized Nursing 4-Abbreviated Trauma score, with severity assessed using CAM-Severity score. Risk factor analysis categorized patients into Group A (delirium) and Group B (non-delirium), with primary endpoint being delirium occurrence. The study revealed a 10% delirium incidence. Delirium severity ranged from mild to severe. The median age (in years) was 79 vs 46 in delirium and non-delirium group respectively. Delirium patients had longer hospital stay (13 vs 8, p value 0.011). Similarly, factors like female gender, delayed surgery, hyponatremia, hypoproteinaemia, increased injury severity, midazolam use during induction, multiple blood transfusions, and heightened postoperative pain intensity were found significant (p value < 0.05). This study enhances our understanding of delirium in lower limb trauma patients undergoing surgeries. Identified risk factors offer insights for targeted interventions, emphasizing the need for comprehensive preoperative assessments and management strategies to reduce delirium incidence and improve patient outcomes.

Long-Term Impact of Delirium on the Risk of Dementia in Hospitalized Older Patients: A Real-World Multicenter Study

BackgroundThe association between delirium and dementia has been suggested, but mostly in the postoperative setting. This study aims to explore this relationship in a broader inpatient population, leveraging extensive real-world data to provide a more generalized understanding. MethodsIn this retrospective cohort study, electronic health records of 11,970,475 hospitalized patients aged over 60 from nine institutions in South Korea were analyzed. Patients with and without delirium were identified, and propensity score matching (PSM) was used to create comparable groups. A 10-year longitudinal analysis was conducted using the Cox proportional hazards model, which calculated the hazard ratio (HR) and 95% confidence interval (CI). Additionally, a meta-analysis was performed, aggregating results from all nine medical institutions. Lastly, we conducted various subgroup and sensitivity analyses to demonstrate the consistency of our study results across diverse conditions. ResultsAfter 1:1 PSM, a total of 47,306 patients were matched in both the delirium and nondelirium groups. Both groups had a median age group of 75–79 years, with 43.1% being female. The delirium group showed a significantly higher risk of all dementia compared with the nondelirium group (HR: 2.70 [95% CI: 2.27–3.20]). The incidence risk for different types of dementia was also notably higher in the delirium group (all dementia or mild cognitive impairment, HR: 2.46 [95% CI: 2.10–2.88]; Alzheimer's disease, HR: 2.74 [95% CI: 2.40–3.13]; vascular dementia, HR: 2.55 [95% CI: 2.07–3.13]). This pattern was consistent across all subgroup and sensitivity analyses. ConclusionsDelirium significantly increases the risk of onset for all types of dementia. These findings highlight the importance of early detection of delirium and prompt intervention. Further research studies are warranted to investigate the mechanisms linking delirium and dementia.

Analysis of risk factors for postoperative delirium in elderly patients undergoing spinal surgery

To investigate the risk factors of postoperative delirium in elderly patients undergoing spine surgery. The basic case data of 566 patients who underwent spine surgery under general anesthesia from January 2021 to January 2023 were retrospectively analyzed. There were 296 males and 270 females with an average age of (71.58 ± 4.21) years old. There were 195 cases of cervical spine surgery, 26 cases of thoracic spine surgery and 345 cases of lumbar spine surgery.According to the occurrence of postoperative delirium, the patients were divided into postoperative delirium group(41 patients) and non-delirium group (525 patients). Univariate analysis was used to analyze the possible influencing factors such as gender, age, weight, smoking history, drinking history, surgical site, preoperative anxiety, intraoperative hypotension times, blood loss and so on, and binary Logistic regression was used to analyze the univariate factors with P<0.05. A total of 41 patients developed postoperative delirium. Univariate analysis showed that age (P=0.000), duration of surgery (P=0.039), preoperative anxiety (P=0.001), blood loss (P=0.000), history of opioid use (P=0.003), history of stroke (P=0.005), C-reactive protein (P=0.000), sodium ion(P=0.000) were significantly different between delirium group and non-delirium group. These factors were included in the binary Logistic regression analysis, and the results showed that age [OR=0.729, 95%CI(0.569, 0.932), P=0.012], opioid use [OR=21.500, 95%CI(1.334, 346.508), P=0.031], blood loss [OR=0.932, 95%CI(0.875, 0.993), P=0.029], C-reactive protein [OR=0.657, 95%CI(0.485, 0.890), P=0.007], preoperative anxiety [OR=23.143, 95%CI(1.859, 288.090), P=0.015], and sodium [OR=1.228, 95%CI(1.032, 1.461), P=0.020] were independent risk factors for the development of delirium after spinal surgery in elderly patients. Age, opioid use, blood loss, preoperative anxiety, elevated c-reactive protein, and hyponatremia are independent risk factors for the development of postoperative delirium in elderly patients undergoing spinal surgery.

Refeeding hypophosphatemia is a common cause of delirium in critically ill patients: A retrospective study

BackgroundThe purpose was to explore the correlation between refeeding hypophosphatemia and delirium and analyze the related factors in critically ill patients. MethodsWe conducted a retrospective review of critically ill patients admitted to Nanjing Drum Tower Hospital between September 2019 and March 2021. The patients were divided into delirium and nondelirium groups. Demographic data, underlying diseases, laboratory findings, comorbidities, nutritional intake and overall prognosis were collected and analyzed. ResultsIn total, 162 patients were included and divided into delirium (n = 54) and nondelirium (n = 108) groups. Serum phosphorus levels in the two groups decreased significantly in the first three days (P1, P2, P3) after nutrient intake compared with baseline before nutrient intake (Ppre). P1 and P2 were significantly lower in the delirium group compared to the nondelirium group. The maximum blood phosphorus reduction (Pmax) in the first three days after nutrient intake was significantly higher in the delirium group than in the nondelirium group. The time of Pmax in the delirium group was on the first day after nutrient intake. Multivariable logistic regression analysis identified starting route of nutrition and P1< 0.845 mmol/L as the independent predictors of delirium development in critically ill patients. ConclusionThe incidence of delirium in critically ill patients is high and associated with refeeding hypophosphatemia. Delirium may occur with serum phosphorus levels less than 0.845 mmol/L on the first day.

Epigenetic signals associated with delirium replicated across four independent cohorts

Delirium is risky and indicates poor outcomes for patients. Therefore, it is crucial to create an effective delirium detection method. However, the epigenetic pathophysiology of delirium remains largely unknown. We aimed to discover reliable and replicable epigenetic (DNA methylation: DNAm) markers that are associated with delirium including post-operative delirium (POD) in blood obtained from patients among four independent cohorts. Blood DNA from four independent cohorts (two inpatient cohorts and two surgery cohorts; 16 to 88 patients each) were analyzed using the Illumina EPIC array platform for genome-wide DNAm analysis. We examined DNAm differences in blood between patients with and without delirium including POD. When we compared top CpG sites previously identified from the initial inpatient cohort with three additional cohorts (one inpatient and two surgery cohorts), 11 of the top 13 CpG sites showed statistically significant differences in DNAm values between the delirium group and non-delirium group in the same directions as found in the initial cohort. This study demonstrated the potential value of epigenetic biomarkers as future diagnostic tools. Furthermore, our findings provide additional evidence of the potential role of epigenetics in the pathophysiology of delirium including POD.

Predictive value of leukocyte derived markers for postoperative delirium after cardiac valve surgery

To explore the predictive value of leukocyte derived markers for postoperative delirium (POD) in patients undergoing cardiac valve surgery. A prospective cohort study was conducted. The patients who underwent cardiac valve surgery admitted to Beijing Anzhen Hospital of Capital Medical University from October 2021 to March 2023 were enrolled. The demographic, baseline and perioperative data were collected, and the neutrophil to lymphocyte ratio (NLR) and platelet to white blood cell ratio (PWR) were calculated before operation and within 24 hours after operation. Delirium assessment was conducted twice a day for patients within 1-5 days after surgery or discharged within 5 days. According to the evaluation results, the patients were divided into delirium group and non-delirium group. The clinical indexes between the two groups were compared. Multivariate Logistic regression analysis was used to screen the independent risk factors of POD, and the POD predictive model was constructed. The predictive value of POD predictive model was evaluated by receiver operator characteristic curve (ROC curve). A total of 235 patients were enrolled in the analysis, of which 83 patients had POD (35.32%) and 152 patients did not have POD (64.68%). Compared with the non-delirious group, the patients in the delirious group had higher Charlson comorbidity index (CCI) score and lower mini-mental state examination (MMSE) score. In terms of perioperative data, compared with the non-delirium group, the patients in the delirium group had longer operative time, duration of cardiopulmonary bypass, length of intensive care unit (ICU) stay, duration of mechanical ventilation, and postoperative hospital stay, higher incidence of perioperative atrial fibrillation, and lower discharge life score. In terms of leukocyte derived markers, NLR within 24 hours after surgery in both groups were significantly higher than those before surgery, and PWR were significantly lower than those before surgery. The NLR within 24 hours after surgery, PWR difference and NLR difference in the delirium group were significantly higher than those in the non-delirium group. Multivariate Logistic regression analysis showed that CCI score [odds ratio (OR) = 1.394, 95% confidence interval (95%CI) was 1.038-1.872, P = 0.027], perioperative atrial fibrillation (OR = 3.697, 95%CI was 1.711-7.990, P < 0.001), duration of cardiopulmonary bypass (OR = 1.008, 95%CI was 1.002-1.015, P = 0.016), length of ICU stay (OR = 1.006, 95%CI was 1.002-1.010, P = 0.002), NLR difference (OR = 1.029, 95%CI was 1.009-1.050, P = 0.005) and PWR difference (OR = 1.044, 95%CI was 1.009-1.080, P = 0.013) were independently correlated with POD. POD predictive model was constructed by multivariate Logistic regression analysis result: POD predictive model index = -4.970+0.336×CCI score+1.317×perioperative atrial fibrillation+0.009×duration of cardiopulmonary bypass+0.006×length of ICU stay+0.030×NLR difference+0.044×PWR difference. ROC curve analysis showed that the area under the ROC curve (AUC) of NLR difference for predicting POD was 0.659 (95%CI was 0.583-0.735), the optimal critical value was 16.62, the sensitivity was 60.2%, and the specificity was 70.4% (P < 0.05). The AUC of PWR difference for predicting POD was 0.608 (95%CI was 0.528-0.688), the optimal critical value was 25.68, the sensitivity was 51.8%, and the specificity was 75.7% (P < 0.05). The AUC of POD predictive model for predicting POD was 0.805 (95%CI was 0.745-0.865), the optimal critical value was 0.39, the sensitivity was 74.7%, and the specificity was 79.6% (P < 0.05). The differences of NLR and PWR are independently related to POD, which has potential value in predicting POD after cardiac valve surgery.

Impact of prognostic nutritional index on the occurrence of post-operative delirium after total knee arthroplasty

PurposeDelirium has been reported to cause delayed functional recovery, prolonged hospitalization, future institutionalization, increased mortality, and increased healthcare costs. However, there are no reports on how prognostic nutritional index (PNI), Controlling Nutritional Status (CONUT) score, and geriatric nutritional risk index (GNRI) are related to delirium after total knee arthroplasty (TKA). This study aimed to identify risk factors for post-operative delirium after TKA using various pre-operative nutritional assessments (PNI, CONUT score, and GNRI). MethodsIn total, 289 patients who underwent primary TKA between September 2011 and April 2022 in our institute (Hamamatsu University School of Medicine, Hamamatsu, Shizuoka, Japan) were enrolled. Patients were divided into two groups: those who developed post-operative delirium (Group D), and those who did not (Group ND). Pre-operative risk factors, including nutritional indices, for post-operative delirium were evaluated. ResultsGroup D comprised 16 participants, while Group ND comprised 273 participants. Comparisons between the two groups revealed significant differences in age, PNI, CONUT score, GNRI, and history of cerebrovascular disease. Multiple logistic regression analysis revealed that significant risk factors for delirium after TKA were age, PNI, and history of cerebrovascular disease. A receiver operating characteristic curve indicated that the cutoff values for delirium were 47.4 for PNI (sensitivity, 0.810; specificity, 0.875) and 78.5 years for age (sensitivity, 0.813; specificity, 0.722). ConclusionsRisk factors for post-operative delirium after TKA were PNI <47.4, age >78.5 years, and history of cerebrovascular disease. Patients exceeding these pre-operative cutoff values or with a history of cerebrovascular disease should receive counseling about delirium before surgery.

Diffuse optical tomography for mapping cerebral hemodynamics and functional connectivity in delirium.

Delirium is associated with mortality and new onset dementia, yet the underlying pathophysiology remains poorly understood. Development of imaging biomarkers has been difficult given the challenging nature of imaging delirious patients. Diffuse optical tomography (DOT) offers a promising approach for investigating delirium given its portability and three-dimensional capabilities. Twenty-five delirious and matched non-delirious patients (n=50) were examined using DOT, comparing cerebral oxygenation and functional connectivity in the prefrontal cortex during and after an episode of delirium. Total hemoglobin values were significantly decreased in the delirium group, even after delirium resolution. Functional connectivity between the dorsolateral prefrontal cortex and dorsomedial prefrontal cortex was strengthened post-resolution compared to during an episode; however, this relationship was still significantly weaker compared to controls. These findings highlight DOT's potential as an imaging biomarker to measure impaired cerebral oxygenation and functional dysconnectivity during and after delirium. Future studies should focus on the role of cerebral oxygenation in delirium pathogenesis and exploring the etiological link between delirium and dementias. We developed a portable diffuse optical tomography (DOT) system for bedside three-dimensional functional neuroimaging to study delirium in the hospital. We implemented a novel DOT task-focused seed-based correlation analysis. DOT revealed decreased cerebral oxygenation and functional connectivity strength in the delirium group, even after resolution of delirium.

Brain functional magnetic resonance imaging in ICU patients who developed delirium

ObjectiveTo detect brain alterations in intensive care unit (ICU) patients who develop delirium using functional magnetic resonance imaging (fMRI) and diffusion tensor imaging (DTI) and to determine their predictive value.MethodsFifty-two patients who were admitted to the ICU of the Affiliated Hospital of Zunyi Medical University between June 2021 and June 2022 were enrolled. Fifteen patients who were diagnosed with delirium by the Intensive Care Delirium Screening Checklist (ICDSC) after MRI were selected as the delirium group, and 15 healthy volunteers who were examined during the same period served as the control group. Both groups underwent fMRI and DTI. Quantitative fMRI and DTI data were compared between the two groups to detect abnormal structural and functional brain damage. The relationships between MRI outliers and clinical indicators in the delirium group were also assessed.ResultsDemographic characteristics and imaging indicators before delirium were not correlated with ICDSC scores after delirium. Compared with the healthy control group, the delirium group had significantly lower regional homogeneity (ReHo) values in the left caudate nucleus and frontal lobe on fMRI. The amplitude of the low-frequency fluctuations (ALFF) values of the delirium group were significantly increased in the hippocampus but significantly decreased in the frontal lobe. Compared with the healthy control group, the delirium group showed reduced mean diffusivity (MD) values, mainly in the right cerebellum and right middle temporal gyrus; reduced radial diffusivity (RD) values, mainly in the anterior cerebellum and right middle temporal gyrus; reduced fractional anisotropy (FA) values, only in the corpus callosum; and reduced axial diffusivity (AD) values, mainly in the anterior cerebellar lobe, right middle temporal gyrus, and left middle frontal gyrus on DTI. The statistical thresholds for quantitative DTI measurements were p &amp;lt; 0.005 at the voxel level and a cluster size &amp;gt; 5.ConclusionAbnormal resting-state brain activity in the left superior frontal gyrus and structural changes in the frontal lobe, temporal lobe, corpus callosum, hippocampus, and cerebellum were observed in ICU patients who developed delirium during hospitalization. Early-brain fMRI and DTI examinations are recommended for the prediction of delirium according to unique quantitative indicators to facilitate early intervention for critically ill patients, reduce the length of hospital stay, and improve patient prognosis.

Clinical characteristics of older patients with suspected or diagnosed dementia during hospitalization.

In Japan, an additional system for patients with suspected or diagnosed dementia during hospitalization for physical illness began in 2016. We examined the clinical characteristics of older patients with suspected or diagnosed dementia during hospitalization. The study participants consisted of 569 patients. Current age, sex, comorbidities, causative disease for admission, body mass index (BMI), blood tests, environment before admission, prescription history before admission and rate of delirium were examined. Simple regression analysis for high-frequency diseases was carried out with the respective risk factors as independent variables. Multiple regression analysis was then carried out. Infection had the highest frequency in the causative diseases for admission. A total of 48% of patients had delirium during hospitalization. The delirium group had the highest frequency of being at home. In the infection group, BMI and serum albumin were lower in the non-infection group (BMI 19.0 ± 3.7 vs 20.4 ± 4.1; P < 0.001, albumin 2.1 ± 0.7 vs 3.3 ± 0.6 g/dL; P < 0.001 respectively). White blood cell count and C-reactive protein were higher than in the non-infection group, respectively (white blood cell count 11181.4 ± 6533.3 vs 8765.8 ± 111 424.3/μL; P = 0.007, C-reactive protein 8.6 ± 8.6 vs 3.0 ± 5.2 mg/dL; P < 0.001 respectively). Using independent factors associated with infection, multiple regression analysis was performed. BMI (P = 0.013), serum albumin (P < 0.001) and nursing home care before admission (P < 0.001) had significant correlations. Assessment of delirium and the environment before admission of older patients with suspected or diagnosed dementia when hospitalized are necessary. Furthermore, evaluation of nutrition might also contribute to reducing deterioration due to physical illness. Geriatr Gerontol Int 2024; 24: 641-645.

Predictive modeling for postoperative delirium in elderly patients with abdominal malignancies using synthetic minority oversampling technique.

Postoperative delirium, particularly prevalent in elderly patients after abdominal cancer surgery, presents significant challenges in clinical management. To develop a synthetic minority oversampling technique (SMOTE)-based model for predicting postoperative delirium in elderly abdominal cancer patients. In this retrospective cohort study, we analyzed data from 611 elderly patients who underwent abdominal malignant tumor surgery at our hospital between September 2020 and October 2022. The incidence of postoperative delirium was recorded for 7 d post-surgery. Patients were divided into delirium and non-delirium groups based on the occurrence of postoperative delirium or not. A multivariate logistic regression model was used to identify risk factors and develop a predictive model for postoperative delirium. The SMOTE technique was applied to enhance the model by oversampling the delirium cases. The model's predictive accuracy was then validated. In our study involving 611 elderly patients with abdominal malignant tumors, multivariate logistic regression analysis identified significant risk factors for postoperative delirium. These included the Charlson comorbidity index, American Society of Anesthesiologists classification, history of cerebrovascular disease, surgical duration, perioperative blood transfusion, and postoperative pain score. The incidence rate of postoperative delirium in our study was 22.91%. The original predictive model (P1) exhibited an area under the receiver operating characteristic curve of 0.862. In comparison, the SMOTE-based logistic early warning model (P2), which utilized the SMOTE oversampling algorithm, showed a slightly lower but comparable area under the curve of 0.856, suggesting no significant difference in performance between the two predictive approaches. This study confirms that the SMOTE-enhanced predictive model for postoperative delirium in elderly abdominal tumor patients shows performance equivalent to that of traditional methods, effectively addressing data imbalance.

Burden of delirium on mortality and healthcare resource utilization in geriatric patients hospitalized for inflammatory bowel disease

Background Delirium is prevalent in elderly patients, linked to elevated mortality rates, heightened healthcare resource use, and caregiver burden. Inflammatory bowel disease (IBD) poses various delirium risk factors, yet the impact on geriatric IBD patient outcomes remains unexplored. Methods Using 2016–2019 National Inpatient Sample data, we identified ≥65-year-old patients admitted for IBD (Crohn’s, ulcerative colitis) management stratified by delirium presence as a secondary diagnosis. The study aimed to assess delirium’s impact on geriatric IBD patient outcomes. Results Among 67,534 elderly IBD admissions, 0.7% (470) developed delirium. The delirium group had a 4.8-fold increase in in-hospital mortality risk (odds ratio 4.80, P < 0.001, 95% confidence interval [CI] 1.94–11.8). IBD patients with delirium experienced prolonged length of stay (adjusted mean difference 5.15 days, 95% CI 3.24–7.06, P < 0.001) and increased care costs (adjusted mean difference $48,328, 95% CI $26,485–$70,171, P < 0.001) compared to those without delirium. Conclusion Elderly IBD patients with delirium face higher mortality risk, prolonged hospitalization, and increased healthcare costs. Clinicians should recognize delirium’s detrimental effects in this vulnerable group and adhere to preventive protocols for improved care.

Predictive factors for postoperative delirium in thoracic surgery.

We examined cases in which delirium developed after thoracic surgery under general anesthesia at our hospital to determine the predictive factors for postoperative delirium, as well as the perioperative findings in cases showing postoperative delirium. This retrospective study included 1674 patients who underwent surgery under general anesthesia at our hospital between 2012 and 2022, A psychiatrist diagnosed postoperative delirium using the Confusion Assessment Method. There were 99 (5.9%) patients with postoperative delirium in our study, including 85 (86%) men, of whom 31 (31%) had a history of cerebrovascular disease. The incidence of postoperative delirium in patients aged > 80years was 20% (36/182). The postoperative delirium group showed significantly longer hospital stays and more frequent postoperative complications than the group without postoperative delirium. In univariate analysis, age ≥ 80years, male sex, history of cerebrovascular disease, hypertension, history of atrial fibrillation, and history of smoking were identified as significant factors, while multivariate analysis identified age ≥ 80years, male sex, history of cerebrovascular disease, hypertension, and history of smoking as significant factors (odds ratios = 5.15, 2.04, 3.10, 1.67, and 2.36, respectively). In the 169 cases with none of these five factors, the postoperative delirium risk was 0% (0/169). In patients undergoing thoracic surgery, predictive factors for postoperative delirium include age ≥ 80years, male sex, history of cerebrovascular disease, hypertension, and smoking history. The findings also indicate that patients with these risk factors may require psychiatric consultation before surgery.

Insulin resistance and osteocalcin associate with the incidence and severity of postoperative delirium in elderly patients undergoing joint replacement.

While insulin sensitivity plays an important role in maintaining glucose metabolic homeostasis and cognitive function, its impact on postoperative delirium (POD) remains unclear. This study aimed to investigate the association between POD and indicators of insulin sensitivity, including insulin resistance and osteocalcin. A total of 120 elderly patients undergoing joint replacement were recruited and divided into delirium and non-delirium groups. Plasma and cerebrospinal fluid (CSF) samples were collected for the analysis of biomarkers, including insulin, uncarboxylated osteocalcin (ucOC), total osteocalcin (tOC), and glucose. Insulin resistance was assessed through the homeostatic model assessment of insulin resistance (HOMA-IR). Out of the total, 28 patients (23.3%) experienced POD within 5 days after surgery. Patients with delirium exhibited higher levels of preoperative HOMA-IR and ucOC in CSF and plasma, and of tOC in CSF (P = 0.028, P < 0.001, P = 0.005, P = 0.019). After adjusting for variables, including age, Mini-Mental State Examination score, surgical site and preoperative fracture, only preoperative ucOC in CSF and HOMA-IR were significantly linked to the incidence of delirium (OR = 5.940, P = 0.008; OR = 1.208, P = 0.046, respectively), both of which also correlated with the severity of delirium (P = 0.007, P < 0.001). Receiver operating curve analysis indicated that preoperative HOMA-IR and ucOC in CSF might partly predict POD (area under the curve [AUC] = 0.697, 95% confidence interval [CI] = 0.501-0.775, AUC = 0.745, 95% CI = 0.659-0.860). We observed that preoperative elevated HOMA-IR and ucOC in CSF were associated with the incidence and severity of POD. While these preliminary results need confirmation, they suggest a potential involvement of insulin resistance and osteocalcin in the pathological mechanism of POD. Geriatr Gerontol Int 2024; 24: 421-429.

The evaluation of frequency and predictors of delirium and its short-term and long-term outcomes in hospitalized older adults’

BackgroundDelirium is a common complication in hospitalized older adults with multifactorial etiology and poor health outcomes. AimTo determine the frequency and predictors of delirium and its short-term and long-term outcomes in hospitalized older adults. MethodsA prospective observational study was performed in patients aged ≥60 years consecutively admitted to geriatric ward. Potential risk factors were assessed within 24 hours of hospital admission. Delirium screening was performed on admission and daily thereafter throughout the hospital stay using Confusion Assessment Method (CAM). Patients were followed up at 1-year post-discharge. ResultsThe study included 200 patients with mean age 73.1 ± 8.83 years. Incidence and prevalence rate of delirium were 5% and 20% respectively. Multivariable regression analysis revealed emergency admission (OR= 5.12 (1.94–13.57), p=0.001), functional dependency (Katz index of Independence in Activities of Daily Living (Katz-ADL) score <5) 2 weeks before admission (OR= 3.08 (1.30–7.33), p=0.011) and more psychopathological symptoms (higher Brief Psychiatric Rating Scale (BPRS) total score) (OR=1.12 (1.06–1.18), p=0.001) to be independently associated with delirium. Patients in delirium group had significantly high in-hospital mortality (OR= 5.02 (2.12–11.8), p=0.001) and post-discharge mortality (HR= 2.02 (1.13–3.61), p=0.017) and functional dependency (Katz-ADL score <5) (OR= 5.45 (1.49–19.31), p=0.01) at 1-year follow up. ConclusionDelirium is quite frequent in geriatric inpatients and is associated with high in-hospital and post-discharge mortality risk and long-term functional dependency. Emergency admission, pre-hospitalization functional dependency, and more general psychopathological symptoms are independently associated factors. Hence, earliest identification and treatment with early implementation of rehabilitation services is warranted.