Risk Factors For Postoperative Delirium Research Articles

Incidence and risk factors of postoperative delirium in elderly surgical patients 2023

Postoperative delirium has the potential to impact individuals of all age groups, with a significant emphasis on the elderly population. Its presence leads to an increase in surgical morbidity and mortality rates, as well as a notable prolongation of hospital stays. However, there is a lack of research regarding the prevalence, risk factors, and implications of postoperative delirium in developing nations like Ethiopia, which affects both patients and healthcare institutions. An observational study was conducted at hospitals in the South Gondar Zone to diagnose postoperative delirium in the Post-Anesthesia Care Unit (PACU) using the Nursing Delirium Screening Scale. Both bivariable and multivariable logistic regression techniques were employed to analyze the association between independent factors and postoperative delirium. The strength of the association was indicated by the odds ratio with a 95% confidence interval (CI). Any p-values below 0.05 were considered statistically significant. The incidence of postoperative delirium was determined to be 41%. In the multivariate logistic regression analysis, several factors were identified as significantly associated with postoperative delirium. These factors include an age of 75 or older (AOR, 11.24; 95% CI, 4.74–26.65), ASA-PS IV (AOR, 3.25; 95% CI, 1.81–5.85), severe functional impairment of activities of daily living (AOR, 3.29; 95% CI, 1.06–10.20), premedication with benzodiazepine (AOR, 4.61; 95% CI, 2.48–8.57), intraoperative estimated blood loss exceeding 1000 ml (AOR, 2.74; 95% CI, 1.50–4.98), and intraoperative ketamine use (AOR, 3.84; 95% CI, 2.21–6.68). Additionally, postoperative delirium was found to significantly prolong the duration of stay in the post-anesthesia care unit (PACU) and the length of hospital stay (p-value < 0.05). Patients aged 75 or older, ASA-PS IV, experiencing severe functional impairment of ADL, patients premedicated with benzodiazepine, patients with intraoperative estimated blood loss exceeding 1000 ml, and intraoperative ketamine use were identified as risk factors for post-operative delirium.

Intraoperative Electroencephalogram Frontal Low Alpha Power for Predicting Postoperative Delirium in Elderly Patients after Orthopedic Surgery: A Prospective Cohort Study.

Postoperative delirium (POD) is a common complication with significant adverse effects in elderly patients. Electroencephalography (EEG) provides a promising approach for predicting the risk of POD. This study aims to elucidate the correlation between intraoperative EEG spectrum and the incidence of POD in elderly patients undergoing orthopedic surgery. A single-center prospective observational cohort study was conducted at Zhongda Hospital, Southeast University, from September 2022 to March 2023, registered on Chinese Clinical Trail Registry (ChiCTR2300069548). Among the 172 patients who underwent orthopedic surgery, 125 completed the study with available data. Preoperative baseline cognitive function was assessed using the mini-mental state examination (MMSE). An intraoperative 4-channel EEG was recorded. Total power spectra and power spectral density for beta, alpha, theta, and delta bands were calculated. Spectral edge frequency, burst suppression ratio, and patient state index were directly extracted from the EEG monitor. The primary outcome was POD, assessed using a 3-minute Diagnostic Interview for Confusion Assessment Method (CAM)-Defined Delirium scale or the CAM for the Intensive Care Unit. Patients were divided into POD and non-postoperative delirium (non-POD) groups. Logistic regression analysis was conducted to evaluate the independent predictive effect of intraoperative spectral distribution and other quantitative EEG data for POD. The incidence of delirium within 72 hours after surgery was 8.8%. Compared to the non-POD group, the POD group showed significantly lower absolute power in the beta [0.06 (0.03, 0.09) dB vs 0.14 (0.08, 0.26) dB, p < 0.001], alpha [0.41 (0.25, 0.71) dB vs 1.24 (0.55, 2.57) dB, p = 0.008], and theta [0.77 (0.44, 1.01) dB vs 1.19 (0.72, 2.02) dB, p = 0.035] bands. Logistic regression analysis identified several independent risk factors for POD, including lower intraoperative alpha power [odds ratio (OR) 10.210, 95% confidence interval (CI) 1.233-84.568, p = 0.031], advanced age (OR 7.713, 95% CI 1.022-58.204, p = 0.048), preoperative anemia (OR 6.636, 95% CI 1.091-40.358, p = 0.040), and preoperative depression (OR 10.089, 95% CI 1.029-98.909, p = 0.047). In contrast, higher preoperative MMSE scores appeared to be a protective factor for POD (OR 0.130, 95% CI 0.021-0.820, p = 0.030). Intraoperative EEG frontal low alpha power demonstrated a significant independent association with POD in elderly patients after orthopedic surgery. This parameter may serve as an intraoperative neurophysiological marker of cerebral vulnerability to POD. Additionally, advanced age, lower preoperative MMSE scores, preoperative anemia, and preoperative depression were independent risk factors for POD. Chinese Clinical Trial Registry (ChiCTR2300069548).

Associations between oral frailty, oral microbiota composition, and postoperative delirium in older adult patients.

Poor oral health, prevalent among the older adults, can undermine overall health and contribute to frailty. Older adults experiencing oral frailty and dysbiosis potentially face an elevated risk of postoperative delirium. This study aims to explore the influence of oral frailty and changes in oral microbiota composition on occurrence of postoperative delirium in older adult patients undergoing non-cardiac surgery. A total of 303 older adult patients undergoing non-cardiac surgeries were recruited in the Second Affiliated Hospital of Nanjing Medical University from July 2023 to December 2023. Oral swabs for oral microbiota analyses were collected before surgery. Subsequently, after propensity score matching, 21 samples from patients with postoperative delirium and 21 samples from patients without postoperative delirium were analyzed for oral microbiota. Our primary objective was to determine the association between oral frailty, changes in oral microbiota composition, and the occurrence of postoperative delirium. Oral frailty emerged as an independent risk factor for postoperative delirium [HR = 1.75; 95% CI = (1.04-2.96); p = 0.035]. Additionally, patients with postoperative delirium demonstrated lower oral microbiota diversity, as indicated by a reduced Chao index compared with those without postoperative delirium (p = 0.034). A significant association was also found between the dysbiosis index and postoperative delirium (p < 0.001). ROC analysis revealed a pronounced area under the curve of 0.95 (95% CI: 0.88-1.00) for the dysbiosis index in predicting postoperative delirium. Subsequent Principal Coordinates and Kaplan-Meier analyses affirmed that both beta diversity and the dysbiosis index were significantly correlated with incidence of postoperative delirium, with p-values of 0.002 and <0.001, respectively. Furthermore, the interaction analysis through Cox proportional hazards regression suggested a combined effect of oral frailty and the dysbiosis index on the likelihood of developing postoperative delirium (p = 0.004). Oral frailty and changes in oral microbiota among older adult patients undergoing non-cardiac surgery may influence the incidence of postoperative delirium.

Risk Factors and Pain Management in the Incidence of Postoperative Delirium in Elderly Patients: A Retrospective Study.

Background: Postoperative delirium (POD) is a common surgical complication that increases hospital stay duration, hospitalization costs, readmission rates and mortality. This study aims to describe the incidence of POD in an elderly patient population and to investigate pain assessment as a risk factor for postoperative confusion. Additionally, we aim to determine a predictive model for POD. Methods: We conducted a retrospective, observational, single-center study at La Timone Hospital between September 2020 and September 2021. We included patients aged 65 or older, admitted for scheduled or emergency surgical care, with an expected postoperative stay of three days or more and no history of dementia. Data were collected in three stages of hospitalization: preoperative, perioperative, and postoperative. Preoperative data included medical history and lifestyle; perioperative data included surgical and anesthesia characteristics, and postoperative data were collected. Results: Of the 531 patients admitted for surgical care, we analyzed 109 patients. Among these, 24 (22%) experienced a POD episode within the first three postoperative days. Age, preoperative cognitive impairments, preoperative sensory deficits, and long-term benzodiazepine use were identified as risk factors for POD. A significant difference in pain levels was also observed for all NRS scores during the first three postoperative days. After multivariate analysis, we retained two predictive models for POD. Conclusions: This study identified risk factors for POD and proposed predictive models based on these factors. Two models were particularly notable for their potential use in anesthesia consultations and patient follow-up services to quickly detect patients at risk of POD.

Incidence and Associated Factors of Postoperative Delirium in Adults Undergoing Cardiac Surgery With Cardiopulmonary Bypass: A Prospective Cohort Study.

Delirium is one of the most common and serious complications after cardiac surgery with cardiopulmonary bypass (CPB). A comprehensive assessment of independent risk factors for postoperative delirium (POD) is essential for early detection and prevention. To investigate the incidence and independent associated factors of POD in adults undergoing cardiac surgery with CPB. Prospective cohort design. A total of 203 patients were enrolled in this study from October 2022 to December 2023 in China. Richmond agitation and sedation scale (RASS) and confusion assessment method-intensive care unit (CAM-ICU) were used for assessing delirium symptom. This study analysed various factors for POD, including demographic, physical, psychological, social, spiritual and environmental aspects. Using logistic regression analysis to identify the independent associated factors. A totla of 60.1% (n = 122) of patients had POD. Of these cases, 86 (70.5%) were hypoactive delirium, 4 (3.3%) were hyperactive delirium and 32 (26.2%) were mixed delirium. Advanced age (OR = 1.069, 95% confidence interval [CI]: 1.031-1.107; p < 0.001), preoperative depression (OR = 1.847, 95% CI: 1.246-2.736; p = 0.002), postoperative albumin level (OR = 0.921, 95% CI: 0.851-0.997; p = 0.042) and duration of mechanical ventilation (OR > 1.000, 95% CI: 1.000-1.001; p < 0.001) were independent predictors of POD. The incidence of POD in patients undergoing cardiac surgery with CPB was high. This study identified advanced age, preoperative depression, postoperative albumin level and duration of mechanical ventilation as significant and independent predictors of POD. The study's findings highlight the urgent necessity for improved clinical vigilance and proactive management strategies. No patient or public contribution.

Optimization of the cardiac delirium index by including age, decrease in butyrylcholinesterase actitivity, preoperative HbA1c, and postoperative hemoglobin levels: results of a secondary analysis of a prospective observational study.

Postoperative delirium (POD) after cardiac surgery significantly affects the perioperative morbidity and mortality. Butyrylcholinesterase (BChE) is an enzyme primarily produced in the liver, which plays a crucial role in the hydrolysis of acetylcholine outside of neuronal synapses, referred to as extraneuronal hydrolysis. The integration of BChE activity into the cardiac delirium (CARDEL) index might increase its predictive power for identifying POD after cardiac surgery. Therefore, the primary aim of this study was to assess the applicability of the CARDEL index and determine whether integrating the BChE activity enables optimization of the predictive model. This secondary analysis of a prospective observational study included patients undergoing elective coronary artery bypass graft surgery. BChE activity is expressed in units per liter (U/L), while the BChE drop refers to the percentage decrease in BChE activity from pre- to postoperative levels. POD risk factors were identified using multivariate regression analysis. The predictive power of the CARDEL index and an optimized model including BChE was calculated with receiver operating characteristic (ROC) analysis. Of 93 included patients, 20 (21.5%) developed POD. Elevated preoperative HbA1c [OR 2.5 (1.2-4.8), p = 0.01], a decrease in BChE activity [%, OR 1.1 (1.0-1.2), p = 0.04], age [1 (0.94-1.1), p = 0.55], and a postoperative hemoglobin change [OR 0.86 (0.78-0.96), p < 0.001] were identified as independent risk factors for POD. While the CARDEL index showed a moderate prediction of POD [AUCROC of 0.74 (0.60-0.87)], the optimization including BChE resulted in a significant prognostic improvement: AUCROC of 0.84 (0.72-0.94, p < 0.001). Despite the small size of this derivation cohort, this study identified elevated HbA1c as the strongest risk factor for the development of POD, followed by a decrease in BChE activity, postoperative anemia, and age, respectively. By including these parameters to the CARDEL index, its predictive power for the identification of POD significantly improved in this derivation cohort. Moving forward, integrating these findings into clinical practice could enhance early risk stratification and targeted intervention for patients at high risk of POD. Therefore, further research should evaluate these results in a larger, external cohort.

Anticholinergic Exposure, Drug Dose and Postoperative Delirium: Comparison of Dose-Related and Non-Dose-Related Anticholinergic Burden Scores in a Retrospective Cohort Study of Older Orthopaedic and Trauma Surgery Patients.

Postoperative delirium (POD) is a common complication in older adult patients after surgery. A patient's preoperative anticholinergic (AC) burden is a potentially modifiable risk factor for POD. As the influence of the drug dose remains unknown, we aimed to compare three AC burden scores in relation to POD, two of which were dose-related. This retrospective cohort study (03/22-10/22) included orthopaedic and trauma surgery patients > 65 years. POD was assessed using the four A's test (4AT), delirium diagnosis, and chart review. The AC burden was determined using the non-dose-related German Anticholinergic Burden score (GerACB), an extension of the dose-related Muscarinic Acetylcholinergic Receptor ANTagonist Exposure scale (extMARANTE), and the dose-related German Drug Burden Index (GerDBI). Multivariable logistic regression analysis determined the association between the preoperative AC burden and POD. Scores were compared using kappa statistics, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). POD was observed in 71 of 385 patients (18.4%). For all three scores, a high AC burden was significantly associated with POD after adjusting for age, sex, dementia, preoperative physical status, and number of prescribed drugs (p < 0.001). The overall agreement among the burden classifications was substantial (no POD: κ = 0.645, POD: κ = 0.632). The GerACB had the lowest sensitivity with 23.9% (extMARANTE: 42.3%, GerDBI: 40.8%), but the highest PPV with 48.6% (extMARANTE: 38.5%, GerDBI: 43.3%). Both dose-related and non-dose-related AC burden scores have limited sensitivity and modest PPV for screening a patient's medication for POD. However, given the additional effort required for dose consideration, the non-dose-related GerACB remains sufficient in clinical practice, with the lowest sensitivity but highest PPV.

Risk of sarcopenia, frailty and malnutrition as predictors of postoperative delirium in surgery

BackgroundThe risk factors for postoperative delirium are numerous and complex. One approach to identifying patients at risk is to evaluate their nutritional status. The aim of this prospective study is to better understand nutrition as a potential risk factor for postoperative delirium.MethodsA comprehensive preoperative assessment (Clinical Frailty Scale (CFS), the SARC-F questionnaire, Mini Nutritional Assessment-Short Form (MNA-SF)) were carried out as a prospective clinical study on 421 patients (70+) from 4 different surgical disciplines. Postoperatively, patients are examined daily for the presence of delirium using the 4AT screening tool (Arousal, Attention, Abbreviated Mental Test − 4, Acute change), the Nursing Delirium Screening Scale (NuDesc) and the Confusion Assessment Method (CAM) with its adaptation for the intensive care unit (CAM-ICU).ResultsIf there were indications of frailty or sarcopenia in the CFS or SARC-F, the association with delirium was increased 5.34-fold (OR of 5.34 [95% CI: 2.57;11.1]) and 5.56-fold (OR of 5.56 [95% CI: 2.97;10.4]) respectively. Delirium also occurred significantly more frequently with the risk of malnutrition or manifest malnutrition (MNA-SF) than with a normal nutritional status.ConclusionsPatients’ preoperative and nutritional status significantly impact the risk of developing postoperative delirium. Factors such as frailty, sarcopenia and possible malnutrition must be considered when implementing an effective and targeted preoperative assessment.Trail registrationGerman Clinical Trials Registry at https://www.drks.de/DRKS00028614, Registered 25 March 2022.

Perioperative blood pressure variability as a risk factor for postoperative delirium in the patients receiving cardiac surgery

BackgroundDelirium is one of the most common neurological complications after cardiac surgery. The purpose of our study was to assess the relationship between perioperative blood pressure variability (BPV) and postoperative delirium (POD) in the patients undergoing cardiac surgery.MethodsAdult patients received cardiac surgery and stayed in Cardiovascular Intensive Care Unit (ICU) for more than 24 h after surgery during the study period between June 2019 and December 2022 were included in this study. Baseline characteristics, perioperative hemodynamic variables and postoperative laboratory results of the cardiac patients were collected and analyzed. Perioperative BPV was quantified by calculating the standard deviation (SD) and average real variability (ARV) of blood pressure. Assessment of delirium was based on the mental status of the patients and CAM-positive. The relationship between perioperative BPV and POD was analyzed by LASSO and logistic regression using R (R package, 4.3.2).ResultsThe incidence of POD was 15.0% (324/2164) in the patients receiving cardiac surgery, and the average day for POD occurred at day 3 after surgery. Patients with POD had statistically lower levels of intraoperative mean blood pressure (P = 0.015) and blood pressure ARV (P < 0.001) as well as mean blood pressure at 24 h postoperatively (P = 0.003) when compared to those without. Whereas, ARV for systolic blood pressure (8.64 vs. 7.91 mmHg, P < 0.001), diastolic blood pressure (4.00 vs. 3.77 mmHg, P = 0.014) and mean blood pressure (5.23 vs. 4.94 mmHg, P = 0.001) at 24 h postoperatively was significantly higher in the patients with POD than those without. LASSO regression and further logistic regression revealed that intraoperative blood pressure ARV (OR:0.92, P < 0.001), mean central venous pressure (OR:1.05, P = 0.048) and ARV of systolic blood pressure (OR:1.17, P = 0.002) at 24 h postoperatively were independent risk factors for POD.ConclusionsPerioperative ARV, especially postoperative high ARV exposure, was associated with POD in the patients receiving cardiac surgery. Maintaining a relatively stable blood pressure after cardiac surgery might be beneficial to avoid POD in those patients.

Risk factors for delirium occurring after deep brain stimulation surgery in patients with Parkinson's disease.

Postoperative delirium (POD) may cause cognitive morbidities and prolonged hospital stay. This study aimed to evaluate the risk factors associated with postoperative delirium in patients undergoing deep brain stimulation (DBS) for Parkinson's disease (PD). We retrospectively reviewed 83 patients with idiopathic PD who underwent bilateral DBS between 2016 and 2023. The target of DBS was the globus pallidus interna (Gpi) or the subthalamic nucleus (STN) in 84.3% and 15.7% of patients, respectively. Patients were evaluated using the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU) and categorized into two groups: those with delirium and those without. Demographic features, disease duration, preoperative cognitive status (Mini-Mental State Examination) and silent ischemia, brain atrophy rates, DBS target location, surgical type and duration, Unified PD Rating Scale-3 scores, Hoehn and Yahr scores, postoperative perilead edema, and electrolyte imbalance were compared between patients with and without post-DBS delirium. Apart from univariate analysis, receiver operating characteristic (ROC) curve analysis for disease duration and multivariate logistic regression analyses were used to determine independent risk factors for post-DBS delirium. Five out of the 83 patients (6%) developed post-DBS delirium. Age (> 68years), disease duration, preoperative cerebral atrophy rates, and postoperative perilead edema were significantly higher in patients who developed delirium (p < 0.05 each). The ROC curve analysis revealed disease duration of ≥ 11years as a risk factor for delirium (p = 0.001; odds ratio, OR: 58.4, 95% confidence interval, CI: 5.45-625.49). Age and disease duration were independent risk factors for post-DBS delirium (OR: 1.243, 95% CI: 1.070-1.592 and OR: 22.52, 95% CI: 1.21-383.96, respectively). Older age and longer disease duration are independent risk factors for postoperative delirium in patients with PD. This study highlights the need to identify high-risk patients when undertaking DBS to facilitate early diagnosis and timely management.

Effects of preoperative neoadjuvant chemotherapy on postoperative delirium in patients with gynecological tumor surgery: an observational study

PurposeTo investigate whether neoadjuvant chemotherapy (NACT) increases the incidence of postoperative delirium (POD) in patients with gynecological tumors undergoing radical hysterectomy.MethodsThis study included 60 patients in the neoadjuvant chemotherapy exposure group and 60 in the non-exposure group. Preoperative cognitive function, the incidence of POD and other physiological parameters were assessed on preoperative day 1 (POD-1), postoperative day 1 (POD1), postoperative day 2 (POD2), and postoperative day 3 (POD3). Additionally, preoperative olfactory function was evaluated using an olfactory detection kit on POD-1. The primary outcome was the incidence of POD within three days after surgery.ResultsThe incidence of POD was 28.33% in the exposed group and 8.33% in the non-exposed group (P = 0.005). Compared to the non-exposed group, the exposed group had a higher rate of cognitive dysfunction (33.33% vs 13.33%; P = 0.010), and a higher rate of olfactory dysfunction (OD) (25.00% vs 10.00%; P = 0.031). A restricted cubic spline analysis revealed a non-linear relationship between olfactory test scores and Montreal Cognitive Assessment Scale (MoCA) scores (P for overall < 0.001, P for nonlinear = 0.001). Logistic regression identified NACT, mild and moderate cognitive dysfunction, OD, and depression as independent risk factors for POD, with all factors showing significant associations (P < 0.05). The area under the curve (AUC) of OD for predicting POD was 0.783 (95%CI 0.656–0.909).ConclusionsThis single-blind observational study suggests that NACT increases the incidence of POD in patients with gynecological tumors undergoing radical hysterectomy. Moreover, the results indicate that preoperative OD may reflect preoperative cognitive dysfunction, and have predictive value for the incidence of POD.

Study on the predictive model of delirium risk after surgery for elderly hip fractures based on meta-analysis.

To develop and validate a risk prediction model for postoperative delirium in elderly patients with hip fractures, aiming to identify high-risk patients and implement preventive measures. A systematic search of five authoritative medical databases was conducted, retrieving a total of 1368 relevant articles. After screening, 44 high-quality studies were included in the meta-analysis, analyzing 13 potential risk factors, such as age, gender, diabetes, and history of stroke. A risk prediction model was constructed and validated in a cohort of 189 elderly hip fracture patients. The model's predictive performance was evaluated using ROC curves, with calibration assessed through the Hosmer-Lemeshow test, and clinical utility examined via Decision Curve Analysis (DCA) and Clinical Impact Curves (CIC). The meta-analysis identified the following as independent risk factors for postoperative delirium: age (≥ 70years), male gender, diabetes, history of stroke, preoperative comorbidities (≥ 2), previous delirium, preoperative cognitive impairment, low preoperative albumin levels (≤ 40g/L), prolonged preoperative waiting time (≥ 48h), anemia (≤ 100g/L), ASA classification (≥ 3), use of general anesthesia, and prolonged surgery duration (≥ 2h). The prediction model demonstrated strong efficiency in the validation cohort, with an AUC of 0.956, sensitivity of 87.3%, specificity of 94.8%, and a Brier score of 0.144, indicating high predictive accuracy and calibration. DCA and CIC analyses showed the model to have strong clinical decision-making value and impact across most thresholds. The risk prediction model developed in this study shows high predictive accuracy and clinical utility, making it valuable for identifying high-risk patients and implementing preventive measures in clinical practice. However, the study has limitations, such as potential retrospective bias, and further validation in larger, multicenter prospective studies is needed to confirm the model's broader applicability and stability.

Effects of Surgery on Hemodynamics and Postoperative Delirium in Stanford Type A Aortic Dissection.

To investigate the impact of surgical intervention on hemodynamic parameters and postoperative delirium in Stanford Type A aortic dissection patients. A retrospective analysis was conducted on 139 patients who underwent surgery for Stanford Type A aortic dissection from February 2022 to February 2024. Hemodynamic parameters, including maximum ascending aortic diameter (MAAD), left ventricular end-diastolic diameter (LVEDd), and ejection fraction (LVEF), were compared pre- and post-surgery. Patients were divided into two groups based on delirium occurrence postoperatively: Group A (n=49, with delirium) and Group B (n=90, without delirium). Differences in surgical factors and intensive care conditions were analyzed, and risk factors for postoperative delirium were identified. Group sizes differ due to retrospective categorization based on observed outcomes rather than controlled sampling. ① Hemodynamic parameters: Postoperative MAAD and LVEDd were significantly reduced, while LVEF increased compared to preoperative levels (P < 0.05). ② Surgical and postoperative conditions: Group A had longer surgery, cardiopulmonary bypass, and deep hypothermic circulatory arrest times than Group B (P < 0.05). ③ Univariate analysis of baseline data: Group A had higher rates of patients aged ≥60, hypertension, history of stroke, and elevated preoperative D-dimer levels (P < 0.05). ④ Multivariate logistic analysis: Independent risk factors for postoperative delirium included age ≥60, hypertension, history of stroke, surgery time >6hours, cardiopulmonary bypass time >3hours, and deep hypothermic circulatory arrest time >40minutes (OR > 1, P < 0.05). Surgical treatment of Stanford Type A aortic dissection has a good effect, significantly improving long-term cardiac function. However, the incidence of postoperative delirium is relatively high and is closely related to factors such as age, hypertension, history of stroke, surgery time, cardiopulmonary bypass time, and deep hypothermic circulatory arrest time.

Incidence and Risk Factors of Postoperative Delirium in Lumbar Spinal Fusion Patients: A National Database Analysis

Postoperative delirium (POD) is a frequent complication observed in patients following spinal surgeries. The incidence of POD is particularly concerning for major procedures like lumbar spinal fusion, leading to a range of detrimental outcomes. However, existing research on the prevalence and risk factors associated with POD after lumbar spinal fusion is limited, especially when relying on data from large-scale national databases. This study employed a comprehensive analysis of the National Inpatient Sample database, encompassing data from 2010 to 2019. The study population included patients who underwent primary lumbar spinal fusion surgery. We compared patients who did not experience POD with those who developed POD postoperatively, analyzing demographic characteristics, pre-existing comorbidities, and perioperative complications. Analysis of the National Inpatient Sample database identified a total of 493,481 patients who underwent lumbar spinal fusion. The overall incidence of POD following the procedure was 1.07%. Patients who experienced delirium postoperatively exhibited significantly longer hospital stays, incurred higher healthcare costs, and faced a heightened risk of in-hospital mortality (P < 0.001). Additionally, POD following lumbar spinal fusion was associated with various medical complications, including acute renal failure, myocardial infarction, pneumonia, pulmonary embolism, stroke, and urinary tract infections. Several independent predictors were identified as being significantly associated with POD, including advanced age (≥ 65years), pre-existing neurological disorders, a history of alcohol or drug abuse, depression, psychotic disorders, fluid and electrolyte imbalances, diabetes, weight loss, deficiency anemia, coagulopathy, congestive heart failure, pulmonary circulation disorders, peripheral vascular disease, chronic renal insufficiency, and receiving treatment at a teaching hospital. Notably, neurological disorders demonstrated the strongest correlation with the development of POD. Overall, our analysis revealed a relatively low prevalence of POD following lumbar spinal fusion surgery. Nevertheless, it is critical to investigate and understand the independent predictors of POD to effectively prevent and mitigate its negative impact on patient outcomes.

Effect of perioperative dexmedetomidine on postoperative delirium in patients with brain tumours: a protocol of a randomised controlled trial

IntroductionNeurosurgery is a risk factor for postoperative delirium. Dexmedetomidine has a potential effect on reducing postoperative delirium. We aim to test the primary hypothesis that perioperative administration of dexmedetomidine reduces...

Predisposing and precipitating factors of post-operative delirium after transfemoral TAVI

Abstract Background Transcatheter aortic valve implantation (TAVI) represents the treatment of choice for aortic stenosis (AS) patients at higher age (&amp;gt; 75y) or with relevant comorbidities. Post-operative delirium (POD) is a frequent complication which has been associated with worse outcome. Thus, preventive options are highly needed. The aim of our single-center study was to investigate predisposing and precipitating factors of POD after transfemoral TAVI, with a focus on the influence of anaesthesia. Methods Risk factors for POD after TAVI were analysed in 2 merged cohorts of 480 study patients (43% women; mean age 80 years), enrolled in 2017-2022 (n=375, TAVI in 95% in general anaesthesia) and in 2022-2024 (n=105, TAVI in 91% in local anaesthesia). Incidence of POD was evaluated retrospectively by nursing documentation, medical records, and DRG coding. The association of demographics, comorbidities, echo parameters, procedural parameters, anaesthesia, and peri-procedural complications with POD incidence was investigated. Results In total, 29 patients (6%) developed POD, with a tendency towards a lower incidence in the later cohort (6.7% vs. 3.8%; p=0.28). Regarding baseline characteristics, patients experiencing POD were more likely to be male (p=0.03), frail (Katz Index &amp;lt;6, p=0.049), and to suffer from low-gradient AS (p=0.005 for paradoxical, p=0.02 for classical low-flow, low-gradient AS; see also fig. 1A). Total procedure time was significantly longer in patients with POD (median, 86 vs. 62 min, p=0.004; fig 1B), and a tendency towards a more frequent implantation of other than ballon-expandable valves could be observed (p=0.07). Concerning the role of anaesthesia, POD did not differ significantly after general anaesthesia (n=24/360, 6.7%), conscious sedation (n=1/19, 5.3%), and local anaesthesia (n=4/100, 4%) (p=0.38). Regarding procedural complications, POD patients were characterized by lower minimum hemoglobin post-TAVI (9.3 vs. 10.1 g/dl, p=0.05; fig. 1C) and higher incidences of intra-procedural resuscitation (11% vs. 2%, p=0.03), cerebrovascular accidents (10% vs. 2%, p=0.04) and new permanent pacemaker implantations (25% vs. 10%, p=0.02). In POD patients, long-term survival after TAVI was significantly reduced, with a median survival of only 2 years (Kaplan-Meier curves in fig. 2; p=0.001). Conclusions POD after TAVI stays common and unfavourable. The role of anaesthesia seems less pronounced than expected. Total procedure time and relevant anaemia after TAVI emerged as most important modifiable risk factors. Future research is warranted, since strategies to reduce precipitating factors for POD may have a significant impact on post-TAVI outcomes.Selected risk factors for PODConsequence of POD: Reduced Survival

Clinical investigation into risk factors for delirium post-cardiac surgery and its implications for nursing intervention guided by behavior change theory

BackgroundThis study explores the factors contributing to the occurrence of delirium following cardiac surgery and devises nursing strategies rooted in behavior change theory.MethodsA cohort of 320 cardiac surgery patients was selected, categorized into two groups: 93 cases where postoperative delirium (POD) was anticipated, and 227 cases where it was not. Preoperative, intraoperative, and postoperative factors of POD were scrutinized using single-factor analysis, while binary logistic regression analysis was employed to pinpoint risk factors.ResultsAmong the 320 patients, 93 displayed POD symptoms post-surgery, yielding an incidence of 29.06%. Preoperative univariate analysis disclosed significant differences in gender, age, smoking, hypertension, and diabetes (P < 0.05). Intraoperatively, significant differences were noted in the American Society of Anesthesiologists (ASA) anesthesia grade (II, III, and IV), surgery time, cardiopulmonary bypass duration, and aortic occlusion duration (P < 0.05). Post-surgery, significant differences were observed in the duration of Intensive Care Unit (ICU) stay, mechanical ventilation time, and visual analogue scale (VAS) scores (P < 0.05). Multivariate Logistic regression identified surgery time (OR = 2.334, P < 0.001), ICU admission duration (OR = 1.457, P < 0.001), mechanical ventilation time (OR = 1.235, P = 0.004), and VAS scores (OR = 2.986, P < 0.001) as independent risk factors for POD. ROC curve analysis indicated higher sensitivity and specificity in predicting POD with surgery time, ICU stay duration, mechanical ventilation time, and VAS scores.ConclusionIrrespective of the surgical intervention type, surgery time, ICU stay duration, mechanical ventilation time, and VAS scores are recognized as risk factors for POD in cardiac surgery patients. Hence, continuous patient monitoring and early intervention tailored to specific risk factors are essential in clinical practice to mitigate POD incidence.

How to predict postoperative delirium in geriatric patients with hip fracture as soon as possible? A retrospective study

PurposeInflammation may play a role in the mechanism of postoperative delirium (POD), a severe complication among older postoperative patients. The purpose of this study was to investigate the risk factors of POD in postoperative patients with hip fracture, especially the inflammation marker– neutrophil–lymphocyte ratio (NLR).MethodsThis retrospective investigation utilized data from the Seventh Medical Center of People’s Liberation Army. 1,242 Eligible patients with hip fracture (829 females), median age 81 years, mean neutrophil-lymphocyte ratio (NLR) 5.28, were enrolled. Receiver operating characteristic (ROC) curve was performed to identify the optimal cut point of NLR for POD. The relationship between NLR and POD occurrence, NLR and POD duration were analyzed by multivariable analysis.ResultsROC curve showed that the optimal cut point of NLR for POD was NLR ≥ 7.6. Multivariate logistic regression analysis showed that NLR ≥ 7.6 (odds ratio [OR] 2.75, [95% confidence interval [CI] 1.51 to 5.02], p = 0.001), stroke (OR 1.05, [95% CI 1.02 to 1.09], p = 0.005), complications, general anesthesia, long length of stay were risk factors of POD, with the largest effect for NLR ≥ 7.6. NLR ≥ 7.6 (β 0.59, [95% CI 0.209 to 0.886], p = 0.038), older age (β 0.054, [95% CI 0.009 to 0.099], p = 0.019), previous stroke (β 0.908, [95% CI 0.085 to 1.731], p = 0.031), and previous heart failure (β 1.679, [95% CI 0.448 to 2.910], p = 0.008) suggested long POD duration.ConclusionsThis study demonstrates an association between NLR and postoperative delirium in geriatric hip fracture patients, and contribute new evidence to support NLR as a potential marker for prediction of POD and POD duration.

Perioperative Risk Factors for Postoperative Delirium in Non-Dementia Older Patients after Non-Cardiac Surgery and Anesthesia: A Prospective Study.

To investigate the incidence and perioperative risk factors for postoperative delirium (POD) in non-dementia older patients who underwent anesthesia for non-cardiac surgery. This prospective cohort study was conducted on 195 non-dementia older patients, aged 60 years or older, who were hospitalized after non-cardiac surgery and anesthesia. The Confusion Assessment Method for the Intensive Care Unit (CAM-ICU) was used to evaluate the occurrence of POD. Incidence of POD was reported. We conducted univariate and multivariate logistic regression to identify the risk factors associated with POD. 195 patients were enrolled; 172 completed the study. POD occurred in seven patients within three days after anesthesia, which is a 4.1% incidence of POD. Multivariate logistic analysis showed arrhythmia, coagulopathy, urinary comorbidity, minimum intraoperative heart rate, and minimum post-anesthesia care unit (PACU) pain score as independent risk factors for POD. A minimum PACU pain score > 1 is the optimum cutoff pain score for developing POD, with a sensitivity of 85.7% and a specificity of 69.1%. The postoperative complication rate and in-hospital mortality were significantly higher for patients with POD compared to those without POD. The incidence of POD in the study population is 4.1%. Arrhythmia, coagulopathy, urinary comorbidity, minimum intraoperative heart rate, and minimum PACU pain score were independent risk factors for POD. The minimum PACU pain score is the strongest independent risk factor of POD. POD is associated with increased postoperative complications and in-hospital mortality rates in non-dementia older patients.

Association of preoperative frailty with risk of postoperative delirium in older patients undergoing craniotomy: a prospective cohort study

BackgroundPreoperative frailty is a risk factor associated with postoperative delirium (POD), which has attracted more attention from clinicians, but no research has shown that it is related to elderly patients undergoing craniotomy. Therefore, the aim of this study was to determine the effect of preoperative frailty on POD in older patients, especially those who underwent craniotomy.MethodsFrom October 2022 to May 2023, older patients who underwent elective craniotomy were collected. Assess the occurrence of frailty using the FRAIL scale one day before surgery. Evaluate the occurrence of POD using the Confusion Assessment Method (CAM) within three days after surgery. Participants were divided into two groups, one group being POD, Logistic regression analysis was used to find the risk variables for POD, and the predictive value of preoperative frailty to POD was determined by using the operating characteristic curve of the subjects.ResultsA total of 300 patients were included in this study, among whom 83 patients (27.7%) exhibited preoperative frailty and 69 patients (23.0%) experienced POD. The results of the multivariate logistic regression analysis indicate that preoperative frailty (OR: 8.816, 95% CI: 3.972–19.572), preoperative hypoalbuminemia (OR: 0.893, 95% CI: 0.811–0.984), low BMI (OR: 0.793, 95% CI: 0.698–0.901), and prolonged operative duration (OR: 1.007, 95% CI: 1.004–1.010) are independent risk factors for POD in older patients who underwent craniotomy. We constructed a risk prediction model using these factors, which had an area under the ROC curve of 0.908 (95% CI: 0.869–0.947, P < 0.001). Preoperative frailty enhanced the discriminative ability of the prediction model by 0.037. POD was associated with a longer length of hospital stay and higher hospitalization costs.ConclusionsPreoperative frailty is an independent risk factor for POD in older patients undergoing elective craniotomy and can predict the occurrence of POD to a certain extent. In addition, early identification of patients at risk of malnutrition and appropriate surgical planning can reduce the incidence of POD.