The Clinical Frailty Scale predicts inpatient mortality in older hospitalised patients with idiopathic Parkinson's disease

Mortality and causes of death in patients with Parkinson's disease in Taiwan

BackgroundPrevious studies that examined Parkinson's disease (PD) mortality were mostly conducted in Western countries.ObjectsWe compared mortality rates and causes of death in PD patients and persons without PD from Taiwan over 15 years of follow-up.MethodsWithin the National Health Insurance database, we followed 50,290 incident PD patients (2003-2016) and 201,153 matched non-PD participants (controls) until 31/12/2018. We used multivariable Cox proportional-hazards regression models to compare mortality rates and causes of death in PD patients and controls. Due to non-proportionality, we performed stratification by follow-up duration (≤5/>5 years). We examined interactions between PD status participants' characteristics for all-cause mortality.ResultsPD patients had higher all-cause mortality than controls (HR = 1.40, 95% CI = 1.37-1.42); the association was stronger (p < 0.0001) after the first 5 years of follow-up (HR = 1.49 [1.46-1.53]) than before (HR = 1.34 [1.31-1.37]). The strongest associations were observed for suicide (HR = 1.79 [1.52-2.10]), dementia (HR = 1.69 [1.47-1.93]), and pneumonia (HR = 1.57 [1.49-1.65]). The association between PD and death decreased as age increased, and was stronger in patients without comorbidities, depression, and dementia than in those with.ConclusionsTaiwanese PD patients have reduced life expectancy throughout the course of disease with a stronger association after the first 5 years of follow-up. PD had a stronger impact on mortality in younger persons and in those without comorbidities. Prevention of pneumonia and suicide, and appropriate management of dementia and comorbidities would help reduce PD-related mortality. Our findings may help health authorities allocate resources to improve the management of PD patients in order to address PD-related mortality.

Frailty and Parkinson's disease: the role of diabetes mellitus

Parkinson's disease (PD) is a chronic neurodegenerative disease associated with a progressive loss of dopaminergic neurons, clinically characterized by motor and non-motor signs. Frailty is a clinical condition of increased vulnerability and negative health outcomes due to the loss of multiple physiological reserves. Chronic hyperglycemia and insulin resistance, which characterize diabetes mellitus (DM), have been reported to alter dopaminergic activity, increase the risk of PD, and influence the development of frailty. Even though diabetes may facilitate the development of frailty in patients with PD, this relationship is not established and a revision of the current knowledge is necessary. Furthermore, the synergy between DM, PD, and frailty may drive clinical complexity, worse outcomes, and under-representation of these populations in the research. In this review, we aimed to discuss the role of diabetes in the development of frailty among patients with PD. We summarized the clinical characteristics and outcomes of patients with concomitant DM, PD, and frailty. Finally, interventions to prevent frailty in this population are discussed.

Development and validation of prognostic machine learning models for short- and long-term mortality among acutely admitted patients based on blood tests

Several scores predicting mortality at the emergency department have been developed. However, all with shortcomings either simple and applicable in a clinical setting, with poor performance, or advanced, with high performance, but clinically difficult to implement. This study aimed to explore if machine learning algorithms could predict all-cause short- and long-term mortality based on the routine blood test collected at admission.

METHODS

We analyzed data from a retrospective cohort study, including patients > 18 years admitted to the Emergency Department (ED) of Copenhagen University Hospital Hvidovre, Denmark between November 2013 and March 2017. The primary outcomes were 3-, 10-, 30-, and 365-day mortality after admission. PyCaret, an automated machine learning library, was used to evaluate the predictive performance of fifteen machine learning algorithms using the area under the receiver operating characteristic curve (AUC).

RESULTS

Data from 48,841 admissions were analyzed, of these 34,190 (70%) were randomly divided into training data, and 14,651 (30%) were in test data. Eight machine learning algorithms achieved very good to excellent results of AUC on test data in a of range 0.85-0.93. In prediction of short-term mortality, lactate dehydrogenase (LDH), leukocyte counts and differentials, Blood urea nitrogen (BUN) and mean corpuscular hemoglobin concentration (MCHC) were the best predictors, whereas prediction of long-term mortality was favored by age, LDH, soluble urokinase plasminogen activator receptor (suPAR), albumin, and blood urea nitrogen (BUN).

CONCLUSION

The findings suggest that measures of biomarkers taken from one blood sample during admission to the ED can identify patients at high risk of short-and long-term mortality following emergency admissions.

Clinical features and outcomes of hospitalised patients with COVID-19 and Parkinsonian disorders: A multicentre UK-based study

BACKGROUND

Parkinson's disease has been identified as a risk factor for severe Coronavirus disease 2019 (COVID-19) outcomes. However, whether the significant high risk of death from COVID-19 in people with Parkinson's disease is specific to the disease itself or driven by other concomitant and known risk factors such as comorbidities, age, and frailty remains unclear.

OBJECTIVE

To investigate clinical profiles and outcomes of people with Parkinson's disease and atypical parkinsonian syndromes who tested positive for COVID-19 in the hospital setting in a multicentre UK-based study.

METHODS

A retrospective cohort study of Parkinson's disease patients with a positive SARS-CoV-2 test admitted to hospital between February 2020 and July 2021. An online survey was used to collect data from clinical care records, recording patient, Parkinson's disease and COVID-19 characteristics. Associations with time-to-mortality and severe outcomes were analysed using either the Cox proportional hazards model or logistic regression models, as appropriate.

RESULTS

Data from 552 admissions were collected: 365 (66%) male; median (inter-quartile range) age 80 (74-85) years. The 34-day all-cause mortality rate was 38.4%; male sex, increased age and frailty, Parkinson's dementia syndrome, requirement for respiratory support and no vaccination were associated with increased mortality risk. Community-acquired COVID-19 and co-morbid chronic neurological disorder were associated with increased odds of requiring respiratory support. Hospital-acquired COVID-19 and delirium were associated with requiring an increase in care level post-discharge.

CONCLUSIONS

This first, multicentre, UK-based study on people with Parkinson's disease or atypical parkinsonian syndromes, hospitalised with COVID-19, adds and expands previous findings on clinical profiles and outcomes in this population.

Frailty and cognitive impairment in Parkinson’s disease: a systematic review

BACKGROUND

Frailty can lead to increased vulnerability in older people and patients with Parkinson's disease (pwPD) and worsen their health conditions. These patients can also develop cognitive function impairment. The objective is to analyze whether there is a relationship between frailty and cognitive impairment in pwPD, and to find out which instruments to use for its evaluation.

METHODS

Publications were searched in PubMed, Medline, Web of Science, Cinalh, Cochrane Library, Embase, Phycinfo, and Scopus. The results were measured with the instruments that are used to assess frailty and cognitive impairment, and analyze their relationship.

RESULTS

Two hundred seventy-one articles were identified, of which 12 met the inclusion criteria. All studies assessed frailty and cognitive function in pwPD. Five studies analyzed the relationship between frailty and cognitive impairment. The most used instruments were the Fried scale followed by the Clinical Frailty Scale (CFS) for frailty. Cognitive impairment was mostly evaluated with the Mini-Mental State Examination and the Montreal Cognitive Assessment. The prevalence data ranged from 20.2 to 51.5% with the Fried scale and from 35.6 to 83.9% with the CFS. Cognitive impairment was present in 15 to 45.2% of the pwPD.

CONCLUSION

Analysis of the included studies shows a relationship between frailty and cognitive impairment in pwPD. There was significant variability in the application of the scales used, which influences the prevalence data. More observational and experimental studies are needed to provide more evidence on this association and to determine which is the optimal tool to identify frailty in pwPD using multidimensional scales.

Can the Clinical Frailty Scale on admission predict 30-day survival, postoperative complications, and institutionalization in patients with fragility hip fracture? : a cohort study of 1,255 patients

AIMS

We assessed the value of the Clinical Frailty Scale (CFS) in the prediction of adverse outcome after hip fracture.

METHODS

Of 1,577 consecutive patients aged > 65 years with a fragility hip fracture admitted to one institution, for whom there were complete data, 1,255 (72%) were studied. Clinicians assigned CFS scores on admission. Audit personnel routinely prospectively completed the Standardised Audit of Hip Fracture in Europe form, including the following outcomes: 30-day survival; in-hospital complications; length of acute hospital stay; and new institutionalization. The relationship between the CFS scores and outcomes was examined graphically and the visual interpretations were tested statistically. The predictive values of the CFS and Nottingham Hip Fracture Score (NHFS) to predict 30-day mortality were compared using receiver operating characteristic area under the curve (AUC) analysis.

RESULTS

Significant non-linear associations between CFS and outcomes were observed. Risk of death within 30 days rose linearly for CFS 1 to 5, but plateaued for CFS > 5. The incidence of complications and length of stay rose linearly for CFS 1 to 4, but plateaued for CFS > 4. In contrast, the risk of new institutionalization rose linearly for CFS 1 to 8. The AUCs for 30-day mortality for the CFS and NHFS were very similar: CFS AUC 0.63 (95% CI 0.57 to 0.69) and NHFS AUC 0.63 (95% CI 0.57 to 0.69).

CONCLUSION

Use of the CFS may provide useful information on outcomes for fitter patients presenting with hip fracture, but completion of the CFS by the admitting orthopaedic team does not appear successful in distinguishing between higher CFS categories, which define patients with frailty. This makes a strong case for the role of the orthogeriatrician in the early assessment of these patients. Further work is needed to understand why patients assessed as being of mild, moderate, and severe frailty do not result in different outcomes. Cite this article: Bone Joint J 2022;104-B(8):980-986.

Frailty as Tested by the Clinical Frailty Scale Is a Risk Factor for Hepatorenal Syndrome in Patients With Liver Cirrhosis

INTRODUCTION

Frailty is common in patients with cirrhosis and increases the vulnerability to internal and external stressors. This study aimed to investigate the impact of frailty, as defined by the Clinical Frailty Scale (CFS), on the risk of acute kidney injury (AKI) and hepatorenal syndrome (HRS-AKI) in hospitalized patients with liver cirrhosis.

METHODS

We analyzed data of 201 nonelectively hospitalized patients with cirrhosis and without higher-grade chronic kidney disease. Patient characteristics were captured within the first 24 hours of hospital admission, and frailty was assessed using the CFS. Patients were followed for the development of AKI and/or HRS-AKI during the hospital stay.

RESULTS

In the total cohort, median CFS was 3 (interquartile range 3-4), and 34 (16.9%) patients were frail (CFS >4). During the hospital stay, 110 (54.7%) and 49 (24.3%) patients developed AKI or HRS-AKI, respectively. Patients with AKI or HRS-AKI had a significantly higher CFS than patients without kidney injury (P < 0.001 each). In multivariable analyses, a higher CFS was independently associated with the development of AKI (odds ratio [OR] 1.467, 95% confidence interval (CI) 1.065-2.021) in the total cohort and HRS-AKI (OR 1.809, 95% CI 1.263-2.591) in the subcohort of patients with a history of ascites. In addition, there was a strong association between frailty (OR 3.717, 95% CI 1.456-9.491) and HRS-AKI.

DISCUSSION

Frailty in patients with cirrhosis is associated with AKI and HRS-AKI. In this context, CFS appears to be a reliable tool to identify patients at high risk for developing AKI or HRS-AKI on hospital admission.

Similarities, differences and overlaps between frailty and Parkinson's disease

Parkinson's disease is a neurodegenerative disorder clinically characterized by bradykinesia, rest tremor, rigidity, and postural and gait disturbances, which are frequently observed in older people. It also shows non-motor symptoms, such as depression, anxiety, cognitive impairment and dementia. The number of patients is gradually increasing worldwide. Aging is a risk factor for the onset of Parkinson's disease, and various physiological effects of aging influence its progression. Frailty is a geriatric syndrome in which the reversible and vulnerable status between robustness and disability is affected by various physiological stressors with aging. Frailty consists of physical, psychological and social aspects. Furthermore, sarcopenia, a syndrome characterized by the loss of muscle mass, strength and function, is also significantly associated with frailty. To maintain the quality of life of older people, frailty, including sarcopenia, should be quickly and appropriately managed. Polypharmacy is an important factor causing the progression of frailty in geriatric syndrome. Although Parkinson's disease and frailty have similar symptoms, and are considered to affect each other, the clinical features and mechanisms of both largely remain unclear. Nevertheless, little literature on the relationship between frailty and Parkinson's disease is currently available. This narrative review aims to clarify the relationships between Parkinson's disease and frailty, not only on the physical, but also on the mental, cognitive, and social aspects and issues regarding polypharmacy in Parkinson's disease explored by previous studies. Geriatr Gerontol Int 2022; 22: 259-270.

Comparison of Machine Learning Techniques for Mortality Prediction in a Prospective Cohort of Older Adults

As global demographics change, ageing is a global phenomenon which is increasingly of interest in our modern and rapidly changing society. Thus, the application of proper prognostic indices in clinical decisions regarding mortality prediction has assumed a significant importance for personalized risk management (i.e., identifying patients who are at high or low risk of death) and to help ensure effective healthcare services to patients. Consequently, prognostic modelling expressed as all-cause mortality prediction is an important step for effective patient management. Machine learning has the potential to transform prognostic modelling. In this paper, results on the development of machine learning models for all-cause mortality prediction in a cohort of healthy older adults are reported. The models are based on features covering anthropometric variables, physical and lab examinations, questionnaires, and lifestyles, as well as wearable data collected in free-living settings, obtained for the "Healthy Ageing Initiative" study conducted on 2291 recruited participants. Several machine learning techniques including feature engineering, feature selection, data augmentation and resampling were investigated for this purpose. A detailed empirical comparison of the impact of the different techniques is presented and discussed. The achieved performances were also compared with a standard epidemiological model. This investigation showed that, for the dataset under consideration, the best results were achieved with Random UnderSampling in conjunction with Random Forest (either with or without probability calibration). However, while including probability calibration slightly reduced the average performance, it increased the model robustness, as indicated by the lower 95% confidence intervals. The analysis showed that machine learning models could provide comparable results to standard epidemiological models while being completely data-driven and disease-agnostic, thus demonstrating the opportunity for building machine learning models on health records data for research and clinical practice. However, further testing is required to significantly improve the model performance and its robustness.

Parkinsonism and cerebrovascular disease

The relationship between cerebrovascular disease and parkinsonism is commonly seen in everyday clinical practice but remains ill-defined and under-recognised with little guidance for the practising neurologist. We attempt to define this association and to illustrate key clinical, radiological and pathological features of the syndrome of Vascular Parkinsonism (VaP). VaP is a major cause of morbidity in the elderly associated with falls, hip fractures and cognitive impairment. Although acute parkinsonism is reported in the context of an acute cerebrovascular event, the vast majority of VaP presents as an insidious syndrome usually in the context of vascular risk factors and radiological evidence of small vessel disease. There may be an anatomic impact on basal ganglia neuronal networks, however the effect of small vessel disease (SVD) on these pathways is not clear. There are now established reporting standards for radiological features of SVD on MRI. White matter hyperintensities and lacunes have been thought to be the representative radiological features of SVD but other features such as the perivascular space are gaining more importance, especially in context of the glymphatic system. It is important to consider VaP in the differential diagnosis of Parkinson disease (PD) and in these situations, neuroimaging may offer diagnostic benefit especially in those patients with atypical presentations or refractoriness to levodopa. Proactive management of vascular risk factors, monitoring of bone density and an exercise program may offer easily attainable therapeutic targets in PD and VaP. Levodopa therapy should be considered in patients with VaP, however the dose and effect may be different from use in PD. This article is part of the Special Issue "Parkinsonism across the spectrum of movement disorders and beyond" edited by Joseph Jankovic, Daniel D. Truong and Matteo Bologna.

Frailty for neurologists: a practical guide

Neurologists increasingly care for people with significant frailty in both clinic and ward settings. Such care demands a balanced approach to investigation, diagnosis and treatment, as well-intentioned actions can produce adverse effects. This article presents a practical approach to the identification and management of patients with frailty and neurological conditions. We address medicines optimisation, common causes of deterioration in those with frailty, communication, decisions about intensity of treatment, and shared decision-making including ethical aspects of withholding or withdrawing life-prolonging treatment, with a view to improving the experience both of people living with frailty and of the teams who care for them.

Claims-Based Frailty and Outcomes: Applying an Aging Measure to Older Adults with Parkinson's Disease

BACKGROUND

Frailty is a geriatric syndrome with negative health impacts not captured by comorbidity and disability alone. The prevalence of frailty in Parkinson's disease (PD) has been described, but data on frailty-associated outcomes are limited.

OBJECTIVE

To describe the level of frailty and investigate the association between frailty and outcomes in a Medicare sample of persons diagnosed with PD.

METHODS

We used the claims-based frailty index to assess frailty in a cohort of Medicare beneficiaries with PD in 2013. Frailty was categorized as non-frail/pre-frail, mildly frail, moderately frail, and severely frail. Adjusted logistic regression models examined the relationship between frailty and mortality, hospitalization, emergency department visits, and fall-related injuries through 2014.

RESULTS

Of 62,786 beneficiaries with PD in 2013, 55.3% were frail. Frail individuals were more likely to be female, older, Black, metropolitan dwelling, without neurologist care, nursing facility residents, or multimorbid. The average daily levodopa equivalent dose initially increased, then decreased from the pre-frail to the severely frail groups. Compared to non-frail/pre-frail persons, severely frail persons had higher adjusted odds of 1-year mortality (AOR 2.74, 95% CI 1.98, 3.78), hospitalization (AOR 2.34, 95% CI 1.74, 3.14), emergency department visits (AOR 2.97, 95% CI 2.14, 4.13), and fall-related injury (AOR 1.43, 95% CI 0.90, 2.26).

CONCLUSIONS

Frailty is common and differentially distributed among older adults with PD. Frailty in PD is associated with adverse health outcomes and death. Observational study analyses may benefit from adjustment for frailty; claims-based frailty surveillance may identify vulnerable PD patients in health system, registry, or administrative data. © 2021 International Parkinson and Movement Disorder Society.

Frailty in Parkinson's disease: A systematic review and meta-analysis

INTRODUCTION

Frailty and Parkinson's disease (PD) are common conditions that increase with age. Independently, frailty and PD lead to increased morbidity and mortality for patients. Few studies report on frailty in patients with PD. We performed a systematic review and meta-analysis of the prevalence, associations and outcomes of frailty in persons with PD.

METHODS

We searched four electronic databases and grey literature from inception to May 19, 2020, for articles which reported the prevalence, associations and outcomes of frailty in persons with PD.

RESULTS

One-thousand and sixty-three citations were identified, of which 127 articles were reviewed. Thirty studies were included. Twenty-eight studies were observational and the settings varied including 25 community and 5 inpatient studies.The most common frailty screening measures were the frailty phenotype and clinical frailty scale. The prevalence of frailty in PD using the FP was 0.38 (0.24-0.55) with I2 = 92.6% (p < 0.01). Frailty was associated with recurrent falls, cognitive impairment, dementia, orthostatic hypotension, fatigue, hallucinations, nursing home placement, dependency in activities of daily living and in-patient mortality. PD disease duration, motor impairment, non-tremor dominant PD (postural instability/gait difficulty dominant phenotype) and total daily levodopa dose were associated with frailty.

CONCLUSION

Frailty is common in PD. There is no agreed upon tool for identifying frailty, however, the importance of its identification is apparent given the high prevalence and the association between frailty and adverse outcomes in persons with PD. Future studies are required to guide clinicians in how best to identify and manage frail patients with PD.

The Association Between Frailty and Parkinson's Disease in the ReSPOnD Trial

Background

Frailty and Parkinson’s disease (PD) are both highly prevalent in older people, but few studies have studied frailty in people with Parkinson’s. Identifying frailty in this population is vital, to target new interventions to those who would most benefit.

Methods

Data were collected as part of the double-blind randomised controlled rivastigmine to stabilise gait ReSPonD trial in 130 people with Hoehn and Yahr 2–3, idiopathic PD who had fallen in the year prior to enrolment. Individuals were assessed at baseline and followed up at eight months, including determination of frailty status.

Results

120 patients attended for follow-up. At follow-up, the mean (SD) age was 70.2 years (8.0), MDS-UPDRS total score 91.5 (29.1), and MDS-UPDRS motor score (Part III) 42.7 (14.8). Median disease duration was 9.2 years (IQR 4.6 to 13.1), Geriatric Depression Score 4 (IQR 2 to 6). Using the Fried frailty criteria, 31 (26%) were frail and 70 (58%) pre-frail. In univariable analysis, being female, higher depression score, and MDS-UPDRS score were associated with greater frailty. Using ordinal regression, in the multivariable model, being female (odds ratio [OR] 3.10, 95%CI 1.53 to 6.26, p=.002), higher total MDS-UPDRS score (OR 2.02, 95%CI 1.42 to 2.87, p<.0001) and higher depression (OR 1.47, 95%CI 1.05 to 2.06, p=.03) were associated with higher number of frailty markers.

Conclusion

There was a high prevalence (84%) of pre-frail and frail individuals in patients participating in this RCT. Future research should determine the optimum tool to assess frailty in this at-risk population, and delineate the association between Parkinson’s, frailty, and health outcomes.

Multimorbidity and Frailty: Tackling Complexity in Parkinson's Disease

Parkinson's disease (PD) is a condition that predominantly affects older people. It is imperative that clinical management considers the other significant illnesses that people with PD accumulate as they age in conjunction with their resilience to cope with physiological change. Multimorbidity and frailty act synergistically to heighten the risk of adverse outcomes for older people with PD. These states are associated with increased likelihood of hospitalization, polypharmacy, adverse drug effects including the anticholinergic burden of medications, drug-disease and drug-drug interactions. Management should be integrated, holistic and individualised to meticulously balance the risks of interventions considering the vulnerability of the individual to recover from disturbance to their environmental, physical and cognitive equilibrium.

The role of frailty in predicting mortality and readmission in older adults in acute care wards: a prospective study

Few studies have focused on frailty as a predictor of mortality and readmission among inpatients in the acute care setting, especially over long follow-up periods. We conducted this study to determine the impact of the frailty on subsequent mortality and readmission in this setting. This study was a prospective observational study conducted in the acute geriatric wards, with a three-year follow-up duration. We assessed frailty via the 36-item Frailty Index (FI), and a cut-off value of 0.25 was used to identify the presence or absence of frailty. We collected survival and readmission information through telephone interviews at 12, 24, and 36 months. We used the Cox regression model to examine the association between frailty and outcomes interested (death and readmission). The present study included 271 patients (mean age: 81.1 years old; 20.3% females), of whom 21.4% died during the 3-year follow-up period. One hundred and thirty-three patients (49.1%) were identified as being frail. The prevalence of frailty was similar in men and women (46.8% vs.58.2%, P = 0.130). Compared with non-frail patients, death and hospital readmission rates of frail patients were increased. Frailty was an independent predictor of 3-year death (adjusted hazard ratio (HR): 2.09; 95% confidence interval (CI): 1.20 to 3.63) and readmission (adjusted HR: 1.40; 95% CI: 1.04 to 1.88) after adjusting for several potential confounders. Frailty is prevalent among older inpatients and is a valuable predictor of 3-year mortality and hospital readmission in an acute care setting.