Delirium after hip fracture: to be or not to be?

The impact of electronic pathways and digital systems on neck of femur fracture outcomes globally: a systematic review

INTRODUCTION

Electronic pathways (e-pathways) and digital systems are novel interventions with several uses in healthcare, ranging from clinical decision support systems to checklists for care delivery. Their application in the management of neck of femur (NOF) fractures is evolving and they may play a key role in facilitating improvements in care delivery. The primary aim of this review was to outline the impact of e-pathways/digital systems on NOF fracture outcomes.

METHODS

A systematic literature search was performed using the PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses) guidelines. A total of 698 citations were evaluated, of which 38 passed the inclusion/exclusion criteria. Six studies were then finalised following full-text review. Heterogenous data meant a narrative synthesis was undertaken. Risk of bias for each paper was assessed using the Downs and Black scale.

RESULTS

A statistically significant improvement was demonstrated for time to theatre (3/6 studies), length of hospital stay (2/6 studies) and secondary fracture prevention (2/6 studies). Although postoperative delirium and mortality improved with the introduction of e-pathways/digital systems, statistical significance was not achieved. No outcome measures were adversely affected.

CONCLUSIONS

This systematic review of the literature demonstrates that e-pathways and digital systems are promising novel interventions, displaying a significant positive impact on several NOF fracture outcomes. Owing to the novel nature of e-pathways and digital systems in orthopaedics, a limited number of studies were identified for review, each with variable study design. More high quality homogenous prospective cohort studies with a standardised primary outcome measure are required for more definitive conclusions of efficacy to be drawn.

Delirium in the intensive care unit and its importance in the post-operative context: A review

The burden of delirium in the intensive care setting is a global priority. Delirium affects up to 80% of patients in intensive care units; an episode of delirium is often distressing to patients and their families, and delirium in patients within, or outside of, the intensive care unit (ICU) setting is associated with poor outcomes. In the short term, such poor outcomes include longer stay in intensive care, longer hospital stay, increased risk of other hospital-acquired complications, and increased risk of hospital mortality. Longer term sequelae include cognitive impairment and functional dependency. While medical category of admission may be a risk factor for poor outcomes in critical care populations, outcomes for surgical ICU admissions are also poor, with dependency at hospital discharge exceeding 30% and increased risk of in-hospital mortality, particularly in vulnerable groups, with high-risk procedures, and resource-scarce settings. A practical approach to delirium prevention and management in the ICU setting is likely to require a multi-faceted approach. Given the good evidence for the prevention of delirium among older post-operative outside of the intensive care setting, simple non-pharmacological interventions should be effective among older adults post-operatively who are cared for in the intensive care setting. In response to this, the future ICU environment will have a range of organizational and distinct environmental characteristics that are directly targeted at preventing delirium.

Post-operative delirium in the patient with hip fracture: The journey from hospital arrival to discharge

Delirium- an acute disorder of attention and cognition- is the commonest complication following hip fracture. Patients with hip fracture are particularly vulnerable to delirium, and many of the lessons from the care of the patient with hip fracture will extend to other surgical cohorts. Prevention and management of delirium for patients presenting with hip fracture, extending along a continuum from arrival through to the post-operative setting. Best practice guidelines emphasize multidisciplinary care including management by an orthogeriatric service, regular delirium screening, and multimodal interventions. The evidence base for prevention is strongest in terms of multifaceted interventions, while once delirium has set in, early recognition and identification of the cause are key. Integration of effective strategies is often suboptimal, and may be supported by approaches such as interactive teaching methodologies, routine feedback, and clear protocol dissemination. Partnering with patients and carers will support person centered care, improve patient experiences, and may improve outcomes. Ongoing work needs to focus on implementing recognized best practice, in order to minimize the health, social and economic costs of delirium.

New onset delirium prediction using machine learning and long short-term memory (LSTM) in electronic health record

OBJECTIVE

To develop and test an accurate deep learning model for predicting new onset delirium in hospitalized adult patients.

METHODS

Using electronic health record (EHR) data extracted from a large academic medical center, we developed a model combining long short-term memory (LSTM) and machine learning to predict new onset delirium and compared its performance with machine-learning-only models (logistic regression, random forest, support vector machine, neural network, and LightGBM). The labels of models were confusion assessment method (CAM) assessments. We evaluated models on a hold-out dataset. We calculated Shapley additive explanations (SHAP) measures to gauge the feature impact on the model.

RESULTS

A total of 331 489 CAM assessments with 896 features from 34 035 patients were included. The LightGBM model achieved the best performance (AUC 0.927 [0.924, 0.929] and F1 0.626 [0.618, 0.634]) among the machine learning models. When combined with the LSTM model, the final model's performance improved significantly (P = .001) with AUC 0.952 [0.950, 0.955] and F1 0.759 [0.755, 0.765]. The precision value of the combined model improved from 0.497 to 0.751 with a fixed recall of 0.8. Using the mean absolute SHAP values, we identified the top 20 features, including age, heart rate, Richmond Agitation-Sedation Scale score, Morse fall risk score, pulse, respiratory rate, and level of care.

CONCLUSION

Leveraging LSTM to capture temporal trends and combining it with the LightGBM model can significantly improve the prediction of new onset delirium, providing an algorithmic basis for the subsequent development of clinical decision support tools for proactive delirium interventions.

Using the Mini-Mental State Examination to screen for delirium in elderly patients with hip fracture

BACKGROUND

The main aim of this paper was to examine the usefulness of the Mini-Mental State Examination (MMSE) for screening delirium in elderly patients with hip fracture.

METHODS

The sample included 364 elderly patients with hip fracture admitted to two hospitals in Oslo. Delirium was assessed by the Confusion Assessment Method (CAM) as an approximation of the gold standard, DSM-IV. To evaluate the psychometric properties of the MMSE scale, we used the Mokken nonparametric latent trait model for unidimensional scaling.

RESULTS

In total, 76 (21%) patients were diagnosed with delirium based on the CAM, and 141 (43%) had preexisting cognitive impairment. As a screening tool, the recommended MMSE cut-point of 24 showed an acceptable sensitivity of 88% with a specificity of 54%. The prediction of delirium, based on logistic regression on the MMSE total score and on the 5 items selected by the stepwise logistic regression procedure, gave clearly less acceptable results.

CONCLUSIONS

Our study indicates that the MMSE may be useful in screening for delirium, but the high percentage of false positives shows that it does not have diagnostic potential in patients with hip fracture.

Use of clinical decision support to improve the quality of care provided to older hospitalized patients

BACKGROUND

Frail older inpatients are at risk of unintended adverse events while in hospital, particularly falls, functional decline, delirium and incontinence.

OBJECTIVE

The aim of this pragmatic trial was to pilot and evaluate a multi-component knowledge translation intervention that incorporated a nurse-initiated computerized clinical decision support tool to reduce harms in the care of older medical inpatients.

METHODS

A stepped wedge trial design was conducted on six medical units at two hospitals in Calgary, Alberta, Canada. The primary quantitative outcome was the rate of order set use. Secondary outcomes included the number of falls, the average number of days in hospital, and the total number of consults ordered for each of orthopedics, geriatrics, psychiatry and physiotherapy. Qualitative analysis included interviews with nurses to explore barriers and facilitators around the implementation of the electronic decision support tool.

RESULTS

The estimated mean rate of order set use over a 2 week period was 3.1 (95% CI 1.9-5.3) sets higher after the intervention than before. The estimated odds of a fall happening on a unit over a 2-week period was 9.3 (p = 0.065) times higher before than after the intervention. There was no significant effect of the intervention on length of hospital stay (p = 0.67) or consults to related clinical services (all p <0.2). Interviews with front-line nurses and nurse managers/educators revealed that the order set is not being regularly ordered because its content is perceived as part of good nursing care and due to the high workload on these busy medical units.

CONCLUSIONS

Although not statistically significant, a reduction in the number of falls as a result of the intervention was noted. Frontline users' engagement is crucial for the successful implementation of any decision support tool. New strategies of implementation will be evaluated before broad dissemination of this knowledge translation intervention.

Matching the environment to patients with delirium: lessons learned from the delirium room, a restraint-free environment for older hospitalized adults with delirium

Delirium is associated with several negative outcomes and is not always preventable. Current practices for the management of older hospitalized adults with delirium, such as one-on-one sitters, antipsychotic medications, and physical restraints, have limited effectiveness or potential health risks. An alternative management model, called the Delirium Room (DR), is a four-bed patient room (within an Acute Care for Elders (ACE) Unit) that provides 24-hour nursing care, emphasizes nonpharmacological approaches, and is completely free of physical restraints. This article is based on 13 years of experience at two hospitals. The authors have found that a restraint-free environment can be achieved; "tolerate, anticipate, and don't agitate" (the T-A-DA method) are the core principles of the nonpharmacological approach that go beyond the traditional strategies of management (such as reorientation); based on observational data, it appears that negative outcomes associated with delirium, such as loss of function, longer hospital stay, and greater mortality, can be decreased to levels seen in individuals without delirium; and based on limited data, it appears that the rate of falls is at least not higher in the DR than in the ACE unit overall. The limitations of the DR model include lack of randomized controlled trials and the inability to determine which component of the model provides its benefits.

Short-term and long-term orthopaedic issues in patients with fragility fractures

BACKGROUND

Patients with impaired bone quality who suffer a fragility fracture face substantial challenges in both their short- and long-term care. In addition to poor bone quality, many of these patients have multiple medical comorbidities that alter their surgical risk and affect their ultimate functional recovery. Some medical issues can contribute to the altered bone quality and must be addressed to prevent future fractures.

QUESTIONS/PURPOSES

This review summarizes the modifications in perioperative management and fracture fixation in patients with common fragility fractures who have impaired bone quality. It also summarizes the postoperative diagnosis and treatment of secondary causes of impaired bone quality in these patients.

METHODS

We performed a PubMed search, and literature published after 2000 was prioritized, with the exception of benchmark clinical trial studies published before 2000.

RESULTS

Patients with altered bone quality require rapid perioperative management of multiple medical comorbidities. Implant selection in patients with poor quality bone should permit early weightbearing, and constructs should maximize surface area contact with the remaining bone. Long-term diagnosis and treatment of other disease states contributing to poor bone quality (vitamin D deficiency/insufficiency, hypothyroidism, hyperthyroidism, hyperparathyroidism, Cushing's disease, and hypogonadism) must occur to minimize the chances of future fractures.

CONCLUSIONS

Recognition of patients with impaired bone quality and proper treatment of their special needs in both the short and long term are essential for their best opportunity for maximal functional recovery and prevention of future fractures.

Co-managed care for fragility hip fractures (Rochester model)

Hip fractures in older adults are a common event with a high risk of morbidity and mortality. Patients who sustain a hip fracture often present with multiple co-morbid conditions that can benefit from co-management by orthopedic surgeons and geriatricians. This manuscript describes a co-managed model of care for patients with hip fractures. This model of care will be explained, and the benefits and results will be described. Retrospective review of the care of all native non-pathological hip fracture patients aged 60 years and older admitted between April 2005 and March 2009 to a 261-bed community teaching hospital. The outcome measures include patient characteristics, length of stay, mortality, 30-day readmission, re-operation, and costs of care. Seven hundred fifty-eight patients were identified with an average age of 84.8 (SD 8.4); 77.8% of the patients were female, 94.7% Caucasian, and 37.3% from nursing homes, and the mean Charlson score is 2.9 (SD 2.1). The length of stay was 4.3 days, 30-day readmission rate was 10.4%, 17-month re-operation rate was 1.9%, and costs of care to the system were $15,188. The 1-year mortality rate was 21.2%. This model of care resulted in improvements in all measures studied. Previous studies have shown reduction in in-hospital complications. Additional studies are needed to show if this model of care can be translated to other systems or to other surgical conditions. Wide application of this model care could substantially improve the quality of care and cost of caring for frail elders with hip fractures.

A pragmatic study exploring the prevention of delirium among hospitalized older hip fracture patients: Applying evidence to routine clinical practice using clinical decision support

Delirium occurs in up to 65% of older hip fracture patients. Developing delirium in hospital has been associated with a variety of adverse outcomes. Trials have shown that multi-component preventive interventions can lower delirium rates. The objective of this study was to implement and evaluate the effectiveness of an evidence-based electronic care pathway, which incorporates multi-component delirium strategies, among older hip fracture patients. We conducted a pragmatic study using an interrupted time series design in order to evaluate the use and impact of the intervention. The target population was all consenting patients aged 65 years or older admitted with an acute hip fracture to the orthopedic units at two Calgary, Alberta hospitals. The primary outcome was delirium rates. Secondary outcomes included length of hospital stay, in-hospital falls, in-hospital mortality, new discharges to long-term care, and readmissions. A Durbin Watson test was conducted to test for serial correlation and, because no correlation was found, Chi-square statistics, Wilcoxon test and logistic regression analyses were conducted as appropriate. At study completion, focus groups were conducted at each hospital to explore issues around the use of the order set. During the 40-week study period, 134 patients were enrolled. The intervention had no effect on the overall delirium rate (33% pre versus 31% post; p = 0.84). However, there was a significant interaction between study phase and hospital (p = 0.03). Although one hospital did not experience a decline in delirium rate, the delirium rate at the other hospital declined from 42% to 19% (p = 0.08). This difference by hospital was mirrored in focus group feedback. The hospital that experienced a decline in delirium rates was more supportive of the intervention. Overall, post-intervention there were no significant differences in mean length of stay (12 days post versus 14 days pre; p = 0.74), falls (6% post versus 10% pre; p = 0.43) or discharges to long-term care (6% post versus 13% pre; p = 0.20). Translation of evidence-based multi-component delirium prevention strategies into everyday clinical care, using the electronic medical record, was not found to be effective at decreasing delirium rates among hip facture patients.

An ACE unit with a delirium room may improve function and equalize length of stay among older delirious medical inpatients

BACKGROUND

Patients with delirium, compared with those without, are at increased risk for loss of function, longer hospital stays, and increased mortality. We studied the effect that an Acute Care of the Elderly Unit, which includes a delirium room, has on patients with delirium.

METHODS

Retrospective observational study. Charts of 148 patients (≥65 years) admitted to an Acute Care of the Elderly Unit with a delirium room during a 4-month period were reviewed. Delirium on admission (prevalence) was based on physician-performed Confusion Assessment Method; delirium during hospital stay (incidence) was based on nurse-performed Confusion Assessment Method. Patients with delirium were compared with those without delirium regarding change in function between admission and discharge (activities of daily living), hospital length of stay, and mortality.

RESULTS

The prevalence of delirium was 16.2% (24/148), and the incidence was 16.1% (20/124). There were no significant differences between delirious and non-delirious patients in demographics or comorbidity scores. A significant interaction effect (p < .001) indicated improved activities of daily living (mean ± SD; scale 0-12) between admission and discharge among delirious patients (4.1 ± 4.6 and 6.1 ± 3.9) compared with non-delirious patients (7.4 ± 4.7 and 6.9 ± 4.5). There were no differences between delirious and non-delirious patients with reference to mean length of stay (6.4 ± 3.1 vs 5.9 ± 3.6 days, respectively; p = .461) and mortality (2 [4.5%] versus 2 [1.9%], respectively; p = .582).

CONCLUSIONS

Although this study sample was small, the results suggest that an Acute Care of the Elderly Unit with a delirium room may improve function among delirious patients and may equalize other outcomes compared with non-delirious patients.

Behavioral Indicators of Postoperative Pain in Older Adults With Delirium

The undertreatment of postoperative pain in older adults with delirium is attributed, in part, to the inability to complete self-report pain assessment instruments. Patients’ loss of verbal skills to self-report pain and the lack of reliable and valid postoperative pain assessment instruments for use in older adults with delirium prompted the design of a study to identify common and subtle behavioral indicators of pain. Sixteen experienced registered nurses participating in four focus groups identified behavioral indicators of pain.Transcript analysis resulted in 89 behaviors indicative of pain. Seven researchers with expertise in pain and cognitive impairment in older adults reached 80% agreement on 22 behavioral indicators. The behavioral indicators were classified within one of four pain behavior categories (nonverbal cues/behaviors, vocalizations, facial expressions, and change in usual behavior), and each behavioral indicator was identified as common or subtle. Findings provide evidence of content validity for the pain behaviors.

A model for managing delirious older inpatients

Although multiple models of care exist to prevent the development of delirium in hospitalized patients, models for the management of patients for whom delirium is unpreventable or who already have delirium on admission to the hospital are needed. This article describes the development, management, and economics of a new model of care for patients with delirium, called the Delirium Room (DR). The DR is a specialized 4-bed unit that provides 24-hour intensive nursing care and is completely free of physical restraints. Another important feature of the 4-bed DR is that it is an integral part of a 22-bed acute care for the elderly (ACE) unit. As such, patients in the DR benefit from features of the ACE unit: a change in the physical environment of the medical floor to promote mobility and function and discourage bedrest, comprehensive geriatric care that identifies and addresses problems that can lead to a decline in function, and use of a daily multidisciplinary team meeting. This article also presents descriptive data on a group of delirious patients managed in the DR with the intention of giving baseline data for other ACE units that are considering opening a DR or for future prospective studies in this area.

The development and testing of the PATCOA to assess pain in confused older adults

The purposes of this study were to develop and evaluate the psychometric properties of an instrument with nonverbal cues to assess pain in confused older adults, and to describe the differences among selected demographic variables and scores on the pain and confusion measures. The Pain Assessment Tool in Confused Older Adults (PATCOA) was evaluated with 116 cognitively intact older adults undergoing orthopedic surgery. The interrater reliability for each nonverbal cue ranged from 56.5% to 100%, and the Spearman correlations were .16 to 1.00. Nine nonverbal pain cues were subjected to exploratory factor analysis. Four components explained 69.83% variance. Older adults reported significantly higher levels of pain on the visual analog scale, yet age was not related to the nonverbal pain cues. Women reported significantly more pain than did men. No significant gender differences were found regarding the display of nonverbal pain cues and the level of acute confusion, or with race and self-report of pain, display of nonverbal pain cues, or level of confusion. The development and testing of the PATCOA are initial steps that contribute to our knowledge about acute pain assessment in confused older adults.