The Association of a Frailty Index and Incident Delirium in Older Hospitalized Patients: An Observational Cohort Study

The impact of frailty as a critical mediator causing postoperative neurocognitive disorders in postoperative cardiac patients

Frailty is prevalent in elderly cardiac patients and may be a critical predictor of post-operative neurocognitive disorders (PND). The aim of this review was to demonstrate the correlation of frailty with PND in postsurgical elder patients. A review of published literature and bibliometric analysis was undertaken. Electronic databases from 2009 to 2022 were searched to identify articles that evaluated the relationship between frailty and PND in aging populations. Demographic data, type of surgery performed, frailty measurement, and impact of frailty on PND were extracted from the selected studies. The quality of the studies and risk of bias were assessed by the Newcastle-Ottawa Quality Assessment Scale, and the included articles were assessed as medium to high quality. Eighty-one studies were selected for the Bibliometric review in terms of research trends and hotpots. Additionally, 35 observational studies (prospective and retrospective cohorts) were selected for this review. The mean age ranged from 63 to 84 years and included patients undergoing cardiac, orthopedic, and other surgeries who had cardiac symptoms. Regardless of how frailty was measured, the strongest evidence in terms of numbers of studies, consistency of results, and study quality was for associations between frailty and PND. This analysis found a steadily growing focus on frailty and PND research in cardiac and other patients. The observational studies account for the majority of this area, and frailty occurred in the older cardiac patients over 60 years of age, and pre-screening of frailty can be predictive of PND and mortality.

Factors associated with delirium in a real-world acute-care setting: analysis considering the interdependence of clinical variables with the frailty syndrome

PURPOSE

Delirium risk assessment in the acute-care setting generally does not account for frailty. The objective of this retrospective study was to identify factors associated with delirium, considering the interdependency of clinical variables with frailty syndrome in complex older patients.

METHODS

The clinical records of 587 participants (248 M, median age 84) were reviewed, collecting clinical, anamnestic and pharmacological data. Frailty syndrome was assessed with the Clinical Frailty Scale (CFS). Delirium was the main study endpoint. The correlations of the considered anamnestic and clinical variables with delirium and its subtypes were investigated selecting only those variables not showing a high overlap with frailty. Correlations associated with a 25% excess of frequency of delirium in comparison with the average of the population were considered as statistically significant.

RESULTS

Delirium was detected in 117 (20%) participants. The presence of one among age > 85 years old, CFS > 4 and invasive devices explained 95% of delirium cases. The main factors maximizing delirium incidence at the individual level were dementia, other psychiatric illness, chronic antipsychotic treatment, and invasive devices. The coexistence of three of these parameters was associated with a peak frequency of delirium, ranging from 57 to 61%, mostly hypoactive forms.

CONCLUSIONS

In acute-care wards, frailty exhibited a strong association with delirium during hospitalization, while at the individual level, dementia and the use of antipsychotics remained important risk factors. Modern clinical prediction tools for delirium should account for frailty syndrome.

Spontaneous retropharyngeal abscess presenting as delirium in a frail older woman: a case-based review

INTRODUCTION

Retropharyngeal abscess (RPA) is an uncommon infection in older people, which usually presents with localized upper airway symptoms.

CASE PRESENTATION

We present a case of RPA in a 69-year-old frail woman with co-morbidities, who presented atypically with delirium. She initially complained of general symptoms of malaise, body aches and general decline. Her symptoms progressed to hypoactive delirium before she started to localize her complaints to the upper airway. The delirium presentation of RPA is not commonly reported in the literature. Co-morbidities and frailty are likely to be the underlying risk factors for delirium presentation in this case. Most of the RPA cases reported in older people in the literature presented typically with localized symptoms, however these cases had lower burden of morbidities and reported no frailty. In our case report, poor mouth hygiene and dental caries were thought to be the source of infection. Early intervention with antibiotic treatment for total of four weeks resulted in a full recovery.

CONCLUSION

RPA may present with delirium in older people with frailty and co-morbidities. Poor oral hygiene and dental caries, if left untreated, may progress into serious deep space neck infection.

Hospital admission and the occurrence of delirium in older adults with physical frailty: cross-sectional study

OBJECTIVE

To analyze the relationship between hospitalization and the occurrence of delirium in older adults with physical frailty.

METHOD

Cross-sectional study carried out in a public hospital in southern Brazil. Hospitalized older adults aged ≥ 60 years participated. Sociodemographic and clinical data were collected, physical frailty phenotype tests were performed and the Confusion Assessment Method was used. Descriptive analyzes were carried out and odds ratio values were estimated for the frailty and delirium variables.

RESULTS

Of the 320 older adults evaluated, 21.14% presented delirium, 49% were identified as pre-frail and 36.2% as frail. Of those affected by delirium, 71.6% were classified as frail and 28.3% as pre-frail (p < 0.001). An association was observed between the occurrence of delirium and frailty (OR 1.22; 95% CI 1.07 to 1.38), age ≥ 80 years (OR 1.14; 95% CI 1.01 to 1.32), epilepsy (OR 1.38; 95% CI 1.09 to 1.76), dementia (OR 1.58; 95% CI 1.37 to 1.82), and history of stroke (OR 1.14; 95% CI 1.03 to 1.26).

CONCLUSION

There was a high frequency of pre-frail and frail older adults, and the occurrence of delirium in frail was significantly higher. Special attention should be paid to frail older adults to prevent the occurrence of delirium during hospitalization.

Incidence and associations of hospital delirium diagnoses in 85,979 people with severe mental illness: A data linkage study

INTRODUCTION

Delirium is an acute neuro-psychiatric disturbance precipitated by a range of physical stressors, with high morbidity and mortality. Little is known about its relationship with severe mental illness (SMI).

METHODS

We conducted a retrospective cohort study using linked data analyses of the UK Clinical Practice Research Datalink (CPRD) and Hospital Episodes Statistics (HES) databases. We ascertained yearly hospital delirium incidence from 2000 to 2017 and used logistic regression to identify associations with delirium diagnosis in a population with SMI.

RESULTS

The cohort included 249,047 people with SMI with median follow-up time in CPRD of 6.4 years. A total of 85,979 patients were eligible for linkage to HES. Delirium incidence increased from 0.04 (95% CI 0.02-0.07) delirium associated admissions per 100 person-years in 2000 to 1.05 (95% CI 0.93-1.17) per 100 person-years in 2017, increasing most notably from 2010 onwards. Delirium was associated with older age at study entry (OR 1.05 per year, 95% CI 1.05-1.06), SMI diagnosis of bipolar affective disorder (OR 1.66, 95% CI 1.44-1.93) or other psychosis (OR 1.56, 95% CI 1.35-1.80) relative to schizophrenia, and more physical comorbidities (OR 1.08 per additional comorbidity of the Charlson Comorbidity Index, 95% CI 1.02-1.14). Patients with delirium received more antipsychotic medication during follow-up (1-2 antipsychotics OR 1.65, 95% CI 1.44-1.90; >2 antipsychotics OR 2.49, 95% CI 2.12-2.92).

CONCLUSIONS

The incidence of recorded delirium diagnoses in people with SMI has increased in recent years. Older people prescribed more antipsychotics and with more comorbidities have a higher incidence. Linked electronic health records are feasible for exploring hospital diagnoses such as delirium in SMI.

Predicting postoperative delirium after hip arthroplasty for elderly patients using machine learning

BACKGROUND

Postoperative delirium (POD) is a common and severe complication in elderly hip-arthroplasty patients.

AIM

This study aims to develop and validate a machine learning (ML) model that determines essential features related to POD and predicts POD for elderly hip-arthroplasty patients.

METHODS

The electronic record data of elderly patients who received hip-arthroplasty surgery between January 2017 and April 2021 were enrolled as the dataset. The Confusion Assessment Method (CAM) was administered to the patients during their perioperative period. The feature section method was employed as a filter to determine leading features. The classical machine learning algorithms were trained in cross-validation processing, and the model with the best performance was built in predicting the POD. Metrics of the area under the curve (AUC), accuracy (ACC), sensitivity, specificity, and F1-score were calculated to evaluate the predictive performance.

RESULTS

476 Arthroplasty elderly patients with general anesthesia were included in this study, and the final model combined feature selection method mutual information (MI) and linear binary classifier using logistic regression (LR) achieved an encouraging performance (AUC = 0.94, ACC = 0.88, sensitivity = 0.85, specificity = 0.90, F1-score = 0.87) on a balanced test dataset.

CONCLUSION

The model could predict POD with satisfying accuracy and reveal important features of suffering POD such as age, Cystatin C, GFR, CHE, CRP, LDH, monocyte count, history of mental illness or psychotropic drug use and intraoperative blood loss. Proper preoperative interventions for these factors could reduce the incidence of POD among elderly patients.

Severity of frailty using modified Thai frailty index, social factors, and prediction of mortality among community-dwelling older adults in a middle-income country

Background

Frailty has been increasingly recognized as a public health problem for aging populations with significant social impact, particularly in low- and middle-income countries. We aimed to develop a modified version of the Thai Frailty Index (TFI) and explore the association between different frailty statuses, socioeconomic factors, and mortality in community-dwelling older people from a middle-income country.

Methods

The data from participants aged ≥60 years in the Fourth Thai National Health Examination Survey were used to construct the 30-item TFI. Cutoff points were created based on stratum-specific likelihood ratio. TFI ≤ 0.10 was categorized as fit, 0.10-0.25 as pre-frail, 0.25-0.45 as mildly frail, and >0.45 as severely frail. The association of frailty status with mortality was examined using Cox proportional hazard models.

Findings

Among 8,195 older adults with a mean age of 69.2 years, 1,284 died during the 7-year follow-up. The prevalence of frailty was 16.6%. The adjusted hazard ratio (aHR) for mortality in pre-frail was 1.76 (95% CI = 1.50-2.07), mildly frail 2.79 (95% CI = 2.33-3.35), and severely frail 6.34 (95% CI = 4.60-8.73). Having a caretaker in the same household alleviated mortality risk for severely frail participants with an aHR of 2.93 (95% CI = 1.92-4.46) compared with an aHR of 6.89 (95% CI = 3.87-12.26) among those living without a caretaker.

Interpretation

The severity of frailty classified by the modified TFI can predict long-term mortality risk for community-dwelling older adults. Identification of severely frail older people to provide appropriate care might alleviate mortality risk. Our findings can inform policymakers to appropriately allocate services in a resource-limited setting.

Decision making in frail patients at risk of postoperative delirium: A case study and literature review

Preoperative frailty is strongly associated with risks of postoperative delirium. However, gaps exist in targeted recommendations for clinical decision making related to surgical interventions in frail older patients. A case study is presented involving a frail 74-year-old referred to the palliative care team for assistance with clinical decision making and in weighing risks and benefits of a surgical intervention. A literature review on the quantification of postoperative delirium risk and how this information might inform medical decision making in frail surgical patients did not identify clear clinical guidelines. In the absence of practice guidelines, the Patient Priorities Care model is proposed as a framework to help providers working with patients and caregivers facing complex medical decisions to better align interventions with patient values.

Recipe for primary prevention of delirium in hospitalized older patients

Delirium is an acute fluctuating syndrome characterized by a change in consciousness, perception, orientation, cognition, sleep-wake rhythm, psychomotor skills, and the mood and feelings of a patient. Delirium and delirium prevention remain a challenge for healthcare professionals, especially nurses who form the basis of patient care. It also causes distress for patients, their caregivers and healthcare professionals. However, delirium is preventable in 30-40% of cases. The aim of this article is to summarize the delirium risk models, delirium screening tools, and (non-pharmacological) delirium prevention strategies. A literature search of review articles supplemented by original articles published in PubMed, Cinahl, and Cochrane between 1 January 2000 and 31 December 2020 was carried out. Among the older patients, delirium is a common condition with major consequences in terms of mortality and morbidity, but prevention is possible. Despite the fact that delirium risk models, delirium screening scales and non-pharmacological prevention are available for the development of a hospital delirium prevention programme, such a programme is still not commonly used on a daily basis.

Incidence and interaction factors of delirium as an independent risk of mortality in elderly patients in the intensive units: a retrospective analysis from MIMIC-IV database

BACKGROUND

As delirium is a common problem in critcal elderly patients, the aim of the study was to investigate the interaction factors of delirium as an independent risk of mortality in elderly patients in the intensive care unit (ICU).

PATIENTS AND METHODS

Elderly patients (age ≥ 65) were selected from Medical Information Mart for Intensive Care (MIMIC)-IV database. Demographics data were collected on the 1st day of admission to ICU. The main outcome is in-hospital mortality. Propensity score matching analysis (PSMA) was used to remove the influence of comfounding factors between survival and nonsurvival groups. Chi-square test and logistic regression analysis was used to identify the association between delirium and in-hospital death. Stratified analysis and interaction analysis was used to evaluate the interaction factors of delirium as a risk of in-hospital mortality.

RESULTS

22,361 patients were selected, and in which 2809 patients died. 5453 patients had delirium (about 24.4%). There is a significant difference in delirium between the survival and nonsurvival groups before and after PSMA (p = 0.000 and p = 0.030). Logistic regression showed delirium, sequential organ failure assessment (SOFA), and hemoglobin were all significantly related to in-hospital death (p = 0.000). SOFA score and hemoglobin concentration were proved to be remarkable interaction factors of delirium (p = 0.000, and p = 0.041). Significant correlation between delirium and hospital mortality was inhibited when SOFA was more than 12 or hemoglobin was higher than 15 g/dL. In-hospital mortality (49.1% vs. 10.5%, p = 0.000) and shock incidence (87.9% vs. 15.8%, p = 0.000) of the patients with SOFA ≥ 12 was much higher than that of the patients with SOFA ≤ 11.

CONCLUSION

SOFA and hemoglobin are interaction factors of delirium as an independent risk of in-hospital mortality in elderly patients in the intensive care unit.

The Evolution, Current Value, and Future of the American Society of Anesthesiologists Physical Status Classification System

The American Society of Anesthesiologists (ASA) Physical Status classification system celebrates its 80th anniversary in 2021. Its simplicity represents its greatest strength as well as a limitation in a world of comprehensive multisystem tools. It was developed for statistical purposes and not as a surgical risk predictor. However, since it correlates well with multiple outcomes, it is widely used-appropriately or not-for risk prediction and many other purposes. It is timely to review the history and development of the system. The authors describe the controversies surrounding the ASA Physical Status classification, including the problems of interrater reliability and its limitations as a risk predictor. Last, the authors reflect on the current status and potential future of the ASA Physical Status system.

The degree of frailty as a translational measure of health in aging

Frailty is a multiply determined, age-related state of increased risk for adverse health outcomes. We review how the degree of frailty conditions the development of late-life diseases and modifies their expression. The risks for frailty range from subcellular damage to social determinants. These risks are often synergistic-circumstances that favor damage also make repair less likely. We explore how age-related damage and decline in repair result in cellular and molecular deficits that scale up to tissue, organ and system levels, where they are jointly expressed as frailty. The degree of frailty can help to explain the distinction between carrying damage and expressing its usual clinical manifestations. Studying people-and animals-who live with frailty, including them in clinical trials and measuring the impact of the degree of frailty are ways to better understand the diseases of old age and to establish best practices for the care of older adults.

The delirium screening tool 4AT in routine clinical practice: prediction of mortality, sensitivity and specificity

Aim

Investigate if 4AT score predicts 1 year mortality and explore the sensitivity and specificity of the 4AT when applied as part of a clinical routine.

Findings

4AT score is one of several clinical characteristics predicting 1 year mortality. The 4AT has reasonable sensitivity and specificity to detect delirium in a clinical routine setting.

Message

The 4AT seems to be a useful tool for delirium screening and may predict mortality.

Purpose

Delirium is common and associated with poor outcomes, partly due to underdetection. We investigated if the delirium screening tool 4 A’s test (4AT) score predicts 1 year mortality and explored the sensitivity and specificity of the 4AT when applied as part of a clinical routine.

Methods

Secondary analyses of a prospective study of 228 patients acutely admitted to a Medical Geriatric Ward. Physicians without formal training conducted the index test (the 4AT); a predefined cut-off ≥ 4 suggested delirium. Reference standard was delirium diagnosed by two geriatricians using the Diagnostic and Statistical Manual of Mental Disorders 5 (DSM-5). We calculated hazard ratios (HR) using Cox regression based on the groups 4AT = 0, 1–3, 4–7 and ≥ 8, first unadjusted, then adjusted for the covariates age, comorbidity, and personal activities of daily living. We calculated sensitivity, specificity, and the area under the receiver operating curve (AUC).

Results

Mean age of patients was 86.6 years, 139 (61.0%) were female, 78 (34.2%) had DSM-5 delirium; of these, 56 had 4AT-delirium. 1 year mortality was 27.6% (63 patients). Compared to 4AT score 0, the group 4AT ≥ 8 had increased 1 year mortality (HR 2.86, 95% confidence interval 1.28–6.37, p = 0.010). The effect was reduced in multiadjusted analyses (HR 1.69, 95% confidence interval 0.70–4.07, p = 0.24). Sensitivity, specificity, and AUC were 0.72, 0.84, and 0.88, respectively.

Conclusions

4AT ≥ 8 indicates increased mortality, but the effect was reduced in multiadjusted analyses. 4AT had acceptable sensitivity and specificity when applied as a clinical routine.