Resilience in Clinical Care: Getting a Grip on the Recovery Potential of Older Adults

Experiences of older people with multimorbidity regarding self-management of diseases: A systematic review and qualitative meta-synthesis

AIM

This qualitative systematic review aimed to consolidate existing evidence on the self-management experience of older patients with multimorbidity worldwide.

METHODS

Nine databases were searched, for papers published from database inception to April 2023. The systematic review was conducted according to the systematic review method of qualitative evidence by the Joanna Briggs Institute (JBI).

RESULTS

Seven studies were included. Finally, four themes and 12 subthemes were formed: (1) physical level: reduced physical function and lack of coordinated care; (2) psychological level: mental state of anxiety and positive attitude towards life; (3) social level: technical support, support from family, support from healthcare workers and support from others; and (4) practical level: economic burden, lifestyle changes, self-care in daily life and compliance was much lower than expected.

CONCLUSIONS

To improve self-management in older people with multimorbidity, nurses should provide more guidance to patients to improve their self-management skills, and clinicians should recommend effective self-management behaviours.

Quantifying Physical Resilience after Knee or Hip Surgery in Older Australian Women Based on Long-Term Physical Functioning Trajectories

INTRODUCTION

To improve outcomes after knee or hip surgery, better insight is needed in long-term recovery patterns in the context of ageing-related decline. We examined long-term trajectories of physical functioning (PF) in older women with and without hip and knee surgery and described profiles of cases with higher and lower resilience after surgery.

METHODS

This observational study used data from 10,434 women (73-79 years) who completed survey 2 of the Australian Longitudinal Study on Women's Health. Data were used from surveys 2 (1999) to 6 (2011). Covariable-adjusted linear mixed models were run to examine the surgery-by-time (-12 to +12 years) interaction in association with PF (SF-36 subscale). The differences between observed and expected PF were calculated, with positive/negative values reflecting higher/lower resilience, respectively.

RESULTS

Women with hip surgery (n = 982) had lower PF than those without surgery (n = 8,117) (p < 0.001). Among hip surgery patients, the decline was more rapid pre-surgery than post-surgery (Δslope = -0.7, p < 0.001). Women with knee surgery (n = 1,144) had lower PF than those without surgery (n = 7,971), but with a slower rate of decline (p = 0.01). Among knee surgery patients, the rate of decline was similar pre- and post-surgery (Δslope = -0.3, p = 0.25). Both in hip and knee patients, women with higher resilience had fewer comorbidities and symptoms and were more often physically active and independent in daily activities than those with lower resilience (all p < 0.05).

CONCLUSION

Compared with women without surgery, PF was lower and declined more rapidly around the time of hip surgery, but not for knee surgery. Women with better long-term recovery after surgery had fewer health problems and were more independent around the time of surgery.

Assessment of Mobility Trajectories Using Wearable Inertial Sensors During Autologous Hematopoietic Cell Transplant

OBJECTIVE

This study aimed to characterize mobility patterns using wearable inertial sensors and serial assessment across autologous hematopoietic cell transplant (autoHCT) and investigate the relation between mobility and perceived function in patients with hematologic cancer.

DESIGN

Prospective longitudinal study.

SETTING

Hospital adult transplant clinic followed by discharge.

PARTICIPANTS

78 patients with hematological cancer receiving autoHCT.

MAIN OUTCOME MEASURES

Mobility was measured across 3 clinical phases (pretransplant, pre-engraftment, and post-engraftment) in using inertial sensors worn during prescribed performance tests in the hospital. Perceived function was assessed using validated provider-reported (Eastern Cooperative Oncology Group [ECOG] Performance Status Scale) and patient-reported [European Organization for Research and Treatment of Cancer Quality of Life Questionnaire [EORTC QLQ-C30]) measures. Trajectories of 5 selected mobility characteristics (turn duration, gait speed, stride time variability, double support time, and heel strike angle) across the clinical phases were also evaluated using piecewise linear mixed-effects models.

RESULTS

Using Principal Components Analysis, 4 mobility patterns were identified pretransplant: Gait Limitation, Sagittal Sway, Coronal Sway, and Balance Control. Gait Limitation measured pretransplant was significantly inversely associated with perceived function reported by the provider- (β = -0.11; 95% CI: -0.19, -0.02) and patient- (β = -4.85; 95% CI: -7.72, -1.99) post-engraftment in age-adjusted linear regression models. Mobility characteristics demonstrated immediate declines early pre-engraftment with stabilization by late pre-engraftment.

CONCLUSION

Patients with hematological cancer experiencing gait limitations pretransplant are likely to have worse perceived function post-engraftment. Mobility declines in early phases post-transplant and may not fully recover, indicating an opportunity for timely rehabilitation referrals. Wearable inertial sensors can be used to identify early mobility problems and patients who may be at risk for future functional decline who may be candidates for early physical rehabilitation.

Assessing dynamical resilience indicators in older adults: a prospective feasibility cohort study

PURPOSE

Measuring dynamical resilience indicators based on time series data may improve the prediction of health deterioration in older adults after hospital discharge. We examined the feasibility of an intensive prospective cohort study examining dynamical resilience indicators based on time series data of symptoms and physical activity in acutely ill older adults who visited the Emergency Department (ED).

METHODS

This is a prospective cohort study with time series data from symptom questionnaires and activity trackers. Thirty older adults (aged 75.9 ± 5.5 years, 37% female) who were discharged from the ED of a tertiary hospital in the Netherlands were included in the study. We monitored self-reported symptoms using a daily online questionnaire, and physical activity using an activity tracker for 30 days. Descriptive data on participant eligibility and adherence to and acceptability of the assessments were collected.

RESULTS

Of 134 older patients visiting the ED, 109/134 (81%) were eligible for inclusion and 30/109 (28%) were included. Twenty-eight (93%) of the included participants completed follow-up. Regarding the adherence rate, 78% of participants filled in the questionnaire and 80% wore the activity tracker. Three (10%) participants completed fewer than three questionnaires. Most participants rated the measurements as acceptable and seven (23%) participants experienced an adverse outcome in the 30 days after discharge.

CONCLUSION

Such an intensive prospective cohort study examining dynamical resilience indicators in older adults was feasible. The quality of the collected data was sufficient, some adjustments to the measurement protocol are recommended. This study is an important first step to study resilience in older adults.

Quantifying the Resilience of a Healthcare System: Entropy and Network Science Perspectives

In this study, we consider the human body and the healthcare system as two complex networks and use theories regarding entropy, requisite variety, and network centrality metrics with resilience to assess and quantify the strengths and weaknesses of healthcare systems. Entropy is used to quantify the uncertainty and variety regarding a patient's health state. The extent of the entropy defines the requisite variety a healthcare system should contain to be able to treat a patient safely and correctly. We use network centrality metrics to visualize and quantify the healthcare system as a network and assign the strengths and weaknesses of the network and of individual agents in the network. We apply organization design theories to formulate improvements and explain how a healthcare system should adjust to create a more robust and resilient healthcare system that is able to continuously deal with variations and uncertainties regarding a patient's health, despite possible stressors and disturbances at the healthcare system. In this article, these concepts and theories are explained and applied to a fictive and a real-life example. We conclude that entropy and network science can be used as tools to quantify the resilience of healthcare systems.

The vulnerability of aging states: A survival analysis across premodern societies

How states and great powers rise and fall is an intriguing enigma of human history. Are there any patterns? Do polities become more vulnerable over time as they age? We analyze longevity in hundreds of premodern states using survival analysis to help provide initial insights into these questions. This approach is commonly used to study the risk of death in biological organisms or failure in mechanical systems. The results reveal that the risk of state termination increased steeply over approximately the first two centuries after formation and stabilized thereafter. This provides the first quantitative support for the hypothesis that the resilience of political states decreases over time. Potential mechanisms that could drive such declining resilience include environmental degradation, increasing complexity, growing inequality, and extractive institutions. While the cases are from premodern times, such dynamics and drivers of vulnerability may remain relevant today.

Assessment of Physical Resilience Using Residual Methods and Its Association With Adverse Outcomes in Older Adults

Background and Objectives

Physical resilience (PR) is recognized as the ability to recover from the adverse effects of a stressor. However, there is a lack of consensus on how to optimally measure PR in older adults in general. We aimed to measure PR using residuals from regression analyses and investigated its association with adverse outcomes in older adults.

Research Design and Methods

A total of 6 508 older adults were included from the National Health and Aging Trends Study, which was a population-based prospective cohort study. PR was assessed using residual methods from a linear model regressing the short physical performance battery on clinical diseases, age, sex, race/ethnicity, and health condition. Adverse outcomes included all-cause mortality, falls, and overnight hospitalization.

Results

The mean age was 77.48 (7.84) years. Increased PR was associated with a lower risk of all-cause mortality (hazard ratio [HR] = 0.85, 95% confidence interval [CI]: 0.83-0.87). Compared to participants with reduced PR, those with normal PR had a lower risk for mortality (HR = 0.51, 95% CI: 0.46-0.56). Specifically, restricted cubic spline regression revealed a dose-response relationship between PR and all-cause mortality (p-overall < .0001, p-nonlinear = .011). Additionally, we also found significant associations of increased PR with lower risks of falls (HR = 0.98, 95% CI: 0.96-0.99) and overnight hospitalization (HR = 0.98, 95% CI: 0.97-1.00).

Discussion and Implications

PR, measured by residual methods, was robustly and independently associated with all-cause mortality, falls, and overnight hospitalization. Our findings provide evidence that this approach may be a simple and feasible strategy to assess PR.

Machine learning models of healthcare expenditures predicting mortality: A cohort study of spousal bereaved Danish individuals

BACKGROUND

The ability to accurately predict survival in older adults is crucial as it guides clinical decision making. The added value of using health care usage for predicting mortality remains unexplored. The aim of this study was to investigate if temporal patterns of healthcare expenditures, can improve the predictive performance for mortality, in spousal bereaved older adults, next to other widely used sociodemographic variables.

METHODS

This is a population-based cohort study of 48,944 Danish citizens 65 years of age and older suffering bereavement within 2013-2016. Individuals were followed from date of spousal loss until death from all causes or 31st of December 2016, whichever came first. Healthcare expenditures were available on weekly basis for each person during the follow-up and used as predictors for mortality risk in Extreme Gradient Boosting models. The extent to which medical spending trajectories improved mortality predictions compared to models with sociodemographics, was assessed with respect to discrimination (AUC), overall prediction error (Brier score), calibration, and clinical benefit (decision curve analysis).

RESULTS

The AUC of age and sex for mortality the year after spousal loss was 70.8% [95% CI 68.8, 72.8]. The addition of sociodemographic variables led to an increase of AUC ranging from 0.9% to 3.1% but did not significantly reduce the overall prediction error. The AUC of the model combining the variables above plus medical spending usage was 80.8% [79.3, 82.4] also exhibiting smaller Brier score and better calibration. Overall, patterns of healthcare expenditures improved mortality predictions the most, also exhibiting the highest clinical benefit among the rest of the models.

CONCLUSION

Temporal patterns of medical spending have the potential to significantly improve our assessment on who is at high risk of dying after suffering spousal loss. The proposed methodology can assist in a more efficient risk profiling and prognosis of bereaved individuals.

Predicting mortality risk after a fall in older adults using health care spending patterns: a population-based cohort study

OBJECTIVE

To develop a prognostic model of 1-year mortality for individuals aged 65+ presenting at the emergency department (ED) with a fall based on health care spending patterns to guide clinical decision-making.

DESIGN

Population-based cohort study (n = 35,997) included with a fall in 2013 and followed 1 year.

METHODS

Health care spending indicators (dynamical indicators of resilience, DIORs) 2 years before admission were evaluated as potential predictors, along with age, sex and other clinical and sociodemographic covariates. Multivariable logistic regression models were developed and internally validated (10-fold cross-validation). Performance was assessed via discrimination (area under the receiver operating characteristic curve, AUC), Brier scores, calibration and decision curve analysis.

RESULTS

The AUC of age and sex for mortality was 72.5% [95% confidence interval 71.8 to 73.2]. The best model included age, sex, number of medications and health care spending DIORs. It exhibited high discrimination (AUC: 81.1 [80.5 to 81.6]), good calibration and potential clinical benefit for various threshold probabilities. Overall, health care spending patterns improved predictive accuracy the most while also exhibiting superior performance and clinical benefit.

CONCLUSIONS

Patterns of health care spending have the potential to significantly improve assessments on who is at high risk of dying following admission to the ED with a fall. The proposed methodology can assist in predicting the prognosis of fallers, emphasising the added predictive value of longitudinal health-related information next to clinical and sociodemographic predictors.

A Study of Physical Resilience and Aging (SPRING): Conceptual framework, rationale, and study design

Understanding the physiological basis of physical resilience to clinical stressors is crucial for the well-being of older adults. This article presents a novel framework to discover the biological underpinnings of physical resilience in older adults as part of the "Characterizing Resiliencies to Physical Stressors in Older Adults: A Dynamical Physiological Systems Approach" study, also known as The Study of Physical Resilience and Aging (SPRING). Physical resilience, defined as the capacity of a person to withstand clinical stressors and quickly recover or improve upon a baseline functional level, is examined in adults aged 55 years and older by studying the dynamics of stress response systems. The hypothesis is that well-regulated stress response systems promote physical resilience. The study employs dynamic stimulation tests to assess energy metabolism, the hypothalamic-pituitary-adrenal axis, the autonomic nervous system, and the innate immune system. Baseline characteristics influencing resilience outcomes are identified through deep phenotyping of physical and cognitive function, as well as of biological, environmental, and psychosocial characteristics. SPRING aims to study participants undergoing knee replacement surgery (n = 100), bone and marrow transplantation (n = 100), or anticipating dialysis initiation (n = 60). Phenotypic and functional measures are collected pre-stressor and at multiple times after stressor for up to 12 months to examine resilience trajectories. By improving our understanding of physical resilience in older adults, SPRING has the potential to enhance resilient outcomes to major clinical stressors. The article provides an overview of the study's background, rationale, design, pilot phase, implementation, and implications for improving the health and well-being of older adults.

Psychometrics of the Physical Resilience Scale in Older Adults Living with Dementia: Proxy Responses

Objectives: The purpose of this study was to determine if proxies can complete the Physical Resilience Scale for older adults living with dementia. Methods: This was a descriptive study using Rasch analysis and baseline data from the Function Focused Care for Acute Care Using the Evidence Integration Triangle trial. The first 240 patients living with dementia were included in this analysis. Results: There was evidence of reliability based on person and item separation index. There was no evidence of Differential Item Functioning (DIF) between genders and a DIF by race on Item 7. Validity was supported based on items fitting the model with the exception of one item, and a significant relationship between physical resilience and pain and function. Discussion: There is some evidence that the Physical Resilience Scale is reliable and valid when completed by proxy reports. Future use should remove one of the items due to redundancy.

Choi E, Gao F, Lewandowski D, Halabi M, L. Sander C, Wu A, Wang JM, Singh R, Gao S, Lessieur EM, Dong Z, Palczewska G, Mullins RF, Peachey NS, Kiser PD, Tabaka M, Kern TS, Palczewski K. Stress resilience-enhancing drugs preserve tissue structure and function in degenerating retina via phosphodiesterase inhibition

Chronic, progressive retinal diseases, such as age-related macular degeneration (AMD), diabetic retinopathy, and retinitis pigmentosa, arise from genetic and environmental perturbations of cellular and tissue homeostasis. These disruptions accumulate with repeated exposures to stress over time, leading to progressive visual impairment and, in many cases, legal blindness. Despite decades of research, therapeutic options for the millions of patients suffering from these disorders remain severely limited, especially for treating earlier stages of pathogenesis when the opportunity to preserve the retinal structure and visual function is greatest. To address this urgent, unmet medical need, we employed a systems pharmacology platform for therapeutic development. Through integrative single-cell transcriptomics, proteomics, and phosphoproteomics, we identified universal molecular mechanisms across distinct models of age-related and inherited retinal degenerations, characterized by impaired physiological resilience to stress. Here, we report that selective, targeted pharmacological inhibition of cyclic nucleotide phosphodiesterases (PDEs), which serve as critical regulatory nodes that modulate intracellular second messenger signaling pathways, stabilized the transcriptome, proteome, and phosphoproteome through downstream activation of protective mechanisms coupled with synergistic inhibition of degenerative processes. This therapeutic intervention enhanced resilience to acute and chronic forms of stress in the degenerating retina, thus preserving tissue structure and function across various models of age-related and inherited retinal disease. Taken together, these findings exemplify a systems pharmacology approach to drug discovery and development, revealing a new class of therapeutics with potential clinical utility in the treatment or prevention of the most common causes of blindness.

The relationship between pre-surgery self-rated health and changes in functional and mental health in older adults: insights from a prospective observational study

BACKGROUND

Elective surgeries are among the most common health stressors in later life and put a significant risk at functional and mental health, making them an important target of research into healthy aging and physical resilience. Large-scale longitudinal research mostly conducted in non-clinical samples provided support of the predictive value of self-rated health (SRH) for both functional and mental health. Thus, SRH may have the potential to predict favorable adaptation processes after significant health stressors, that is, physical resilience. So far, a study examining the interplay between SRH, functional and mental health and their relative importance for health changes in the context of health stressors was missing. The present study aimed at addressing this gap.

METHODS

We used prospective data of 1,580 inpatients (794 complete cases) aged 70 years or older of the PAWEL study, collected between October 2017 and May 2019 in Germany. Our analyses were based on SRH, functional health (Barthel Index) and self-reported mental health problems (PHQ-4) before and 12 months after major elective surgery. To examine changes and interrelationships in these health indicators, bivariate latent change score (BLCS) models were applied.

RESULTS

Our analyses provided evidence for improvements of SRH, functional and mental health from pre-to-post surgery. BLCS models based on complete cases and the total sample pointed to a complex interplay of SRH, functional health and mental health with bidirectional coupling effects. Better pre-surgery SRH was associated with improvements in functional and mental health, and better pre-surgery functional health and mental health were associated with improvements in SRH from pre-to-post surgery. Effects of pre-surgery SRH on changes in functional health were smaller than those of functional health on changes in SRH.

CONCLUSIONS

Meaningful changes of SRH, functional and mental health and their interplay could be depicted for the first time in a clinical setting. Our findings provide preliminary support for SRH as a physical resilience factor being associated with improvements in other health indicators after health stressors. Longitudinal studies with more timepoints are needed to fully understand the predictive value of SRH for multidimensional health.

TRIAL REGISTRATION

PAWEL study, German Clinical Trials Register, number DRKS00013311. Registered 10 November 2017 - Retrospectively registered, https://www.drks.de/drks_web/navigate.do?navigationId=trial.HTML&TRIAL_ID=DRKS00013311 .

Health-related quality-of-life trajectories during/after surgery and adjuvant chemotherapy in patients with colon cancer

PURPOSE

This study aims to evaluate quality of life trajectory during the first year after surgical treatment in patients with resectable primary colon cancer.

METHODS

Patients with resectable primary colon cancer diagnosed between 2013 and 2019 who received surgical treatment and adjuvant chemotherapy if indicated were selected from the Prospective Dutch ColoRectal Cancer cohort study (PLCRC). Health-related quality of life (HR-QoL) was assessed using EORTC-QLQ-C30 questionnaire before surgery, and three and twelve months after surgery. HR-QoL scores varied between 0 and 100 and outcomes were compared according to age (< 70 years, ≥ 70 years), comorbidity (yes, no) and treatment type (adjuvant chemotherapy, surgical treatment only). The extent of resilience, defined as a recovery of HR-QoL to baseline level after a clinically relevant decline in HR-QoL at months, was calculated twelve months post-surgery.

RESULTS

For all 458 patients, the mean age was 66.4 years (SD 9.5), 40% were aged 70 years and older and 68% were men. Baseline level of HR-QoL summary score was relatively high with a mean of 87.9 (SD 11.5), and did not significantly differ between older and younger patients. The strongest decline of HR-QoL compared to baseline was observed at three months with a gradual recovery over time. Fourteen percent of all patients were non-resilient or showed a late decline at twelve months post-surgery. Compared to younger patients, older patients who received adjuvant chemotherapy were less resilient (respectively, 53 and 32%, p = 0.07) and at risk of a late decline in HR-QoL 1 year post-surgery (respectively, 3% versus 16%, p = 0.02). Comorbidity status had no significant impact on the HR-QoL trajectory.

CONCLUSION

Colon cancer treatment was associated with a decline in HR-QoL three months post-surgery, but most patients return to baseline level within twelve months. Still, particularly older patients who received adjuvant chemotherapy were less resilient and at risk of a late decline in HR-QoL. These data could help in patients counselling regarding colon cancer treatment.

The effect of positive thinking on resilience and life satisfaction of older adults: a randomized controlled trial

The cumulative effects of adversity and unhappiness affect life satisfaction and quality of life in the growing older adult population. Most of the interventions aimed at improving the health and quality of life of older adults have adopted a problem-oriented or weakness-focused approach. However, a positive or strengths-focused approach can also have a virtuous but more effective capacity to contribute to the well-being and life satisfaction of older adults. Therefore, the present study was conducted to investigate the effect of positive thinking training on improving resilience and life satisfaction among older adults. A randomized controlled trial was conducted on 100 older adults with simple random sampling. The intervention group received 90-min weekly sessions for eight weeks on positive thinking training through written homework for reflection, group discussion, and media. The data were collected using Ingram and Wisnicki Positive Thinking Questionnaire, Connor-Davidson Resilience Scale, and Tobin Life Satisfaction Questionnaire at baseline and one week and two months after the training. The collected data were analyzed using descriptive and inferential statistics in SPSS software 26. P values below 0.05 were considered statistically significant. Positive thinking training led to better thinking (p < 0.001), higher resilience (p < 0.001), and greater life satisfaction (p < 0.001). The study's findings showed the effectiveness of the positive thinking training approach in improving resilience and life satisfaction in older adults. It is recommended to evaluate the long-term outcome in populations with different social, economic, and cultural statuses in future studies.

Intrinsic capacity and resilience: Taking frailty to the next level

In addition to frailty, two novel concepts have been introduced in the field of geriatrics to capture the heterogeneous ageing process: the first is intrinsic capacity, which uses a community-based, holistic approach and is propagated by the World Health Organization (WHO); and the second is resilience, which provides a more dynamic perspective on the individual's reserves, injury and recovery. While both concepts are linked to frailty, with all three focusing on reserves in relation to ageing, each approaches this issue from a different point of view. In this paper, we will compare and contrast these three concepts - frailty, intrinsic capacity and resilience - and assess their relevance to future geriatric oncology research as well as daily clinical practice.

Sex differences in health care expenditures and mortality after spousal bereavement: A register-based Danish cohort study

BACKGROUND

Spousal bereavement is a life event that affects older people differently. We investigated the impact of spousal bereavement on medical expenditures and mortality in the general population, emphasizing on age and sex.

METHODS

Data are from a population-based, retrospective cohort study following 924,958 Danish citizens over the age of 65 years, within 2011-2016. Changes in health care expenditures in those who suffer bereavement were compared with time matched changes among those who did not. Mortality hazards were analysed with time to event analysis.

RESULTS

A total of 77,722 (~8.4%) individuals experienced bereavement, 65.8% being females. Among males, bereavement was associated with increase of expenditures the year after, that was 42 Euros per week (95% CI, 36 to 48) larger than the non-bereaved group. The corresponding increase for females was 35 Euros per week (95% CI, 30 to 40). The increase of mortality hazards was highest in the first year after bereavement, higher in males than females, in young old and almost absent in the oldest old. Compared with the reference, mortality the year after spousal loss was 70% higher (HR 1.70 [95% CI 1.40 to 2.08]) for males aged 65-69 years and remained elevated for a period of six years. Mortality for females aged 65-69 years was 27% higher in the first year (HR 1.27, [1.07 to 1.52]), normalizing thereafter.

CONCLUSION

Bereavement affects older people differently with younger males being most frail with limited recovery potential.

Measurements of damage and repair of binary health attributes in aging mice and humans reveal that robustness and resilience decrease with age, operate over broad timescales, and are affected differently by interventions

As an organism ages, its health-state is determined by a balance between the processes of damage and repair. Measuring these processes requires longitudinal data. We extract damage and repair transition rates from repeated observations of binary health attributes in mice and humans to explore robustness and resilience, which respectively represent resisting or recovering from damage. We assess differences in robustness and resilience using changes in damage rates and repair rates of binary health attributes. We find a conserved decline with age in robustness and resilience in mice and humans, implying that both contribute to worsening aging health - as assessed by the frailty index (FI). A decline in robustness, however, has a greater effect than a decline in resilience on the accelerated increase of the FI with age, and a greater association with reduced survival. We also find that deficits are damaged and repaired over a wide range of timescales ranging from the shortest measurement scales toward organismal lifetime timescales. We explore the effect of systemic interventions that have been shown to improve health, including the angiotensin-converting enzyme inhibitor enalapril and voluntary exercise for mice. We have also explored the correlations with household wealth for humans. We find that these interventions and factors affect both damage and repair rates, and hence robustness and resilience, in age and sex-dependent manners.

Resilience in relation to older adults with multimorbidity: A scoping review

The purpose of this scoping review is to identify conceptual and theoretical resilience models, types of resilience measures, and outcomes regarding resilience in relation to older adults with multimorbidity. PubMed, Embase, CINAHL, and PsycINFO were searched, and we identified 14 studies to July 2021. Most models operationalize resilience as dependent on the social and environmental context of older adults. Three of the five resilience measures in the included studies are used to evaluate general resilience. They are primarily psychological or psychosocial in nature, and measuring physical resilience therefore may help to better understand individuals' ability to cope with the physical challenges associated with various chronic diseases. Quality of life and physical activity were common outcomes in studies of resilience. Findings highlight the need for studies that incorporate physiological measures or physical properties of resilience and longitudinal studies that capture the dynamic process of resilience in older adults with multimorbidity.

Tolerance to oral anticancer agent treatment in older adults with cancer: a secondary analysis of data from electronic health records and a pilot study of patient-reported outcomes

Background

More than 60% of cancer cases occur in older adults, and many are treated with oral anticancer agents. Yet, the treatment tolerability in older adults has not been fully understood due to their underrepresentation in oncology clinical trials, creating challenges for treatment decision-making and symptom management. The objective of this study was to investigate the tolerance of capecitabine, an example of oral chemotherapy, among older adults with cancer and explore factors associated with capecitabine-related side effects and treatment changes, to enhance supportive care.

Methods

A secondary analysis used combined data from electronic health records and a pilot study of patient-reported outcomes, with a total of 97 adult patients taking capecitabine during 2016–2017, including older adult patients aged 65 years or older (n = 43). The data extracted included patient socio-demographics, capecitabine information, side effects, and capecitabine treatment changes (dose reductions and dose interruptions). Bivariate correlations, negative binomial regression, and multiple linear regression were conducted for data analysis.

Results

Older adults were more likely to experience fatigue (86% vs. 51%, p = .001) and experienced more severe fatigue (β = 0.44, p = 0.03) and hand-foot syndrome (HFS) (β = 1.15, p = 0.004) than younger adults. The severity of fatigue and HFS were associated with the number of outpatient medications (β = 0.06, p = 0.006) and the duration of treatment (β = 0.50, p = 0.009), respectively. Correlations among side effects presented different patterns between younger and older adults. Although more older adults experienced dose reductions (21% vs. 13%) and dose interruptions (33% vs. 28%) than younger adults, the differences were not statistically different. Female sex, breast cancer diagnosis, capecitabine monotherapy, and severe HFS were found to be associated with dose reductions (p-values < 0.05).

Conclusions

Older adults were less likely to tolerate capecitabine treatment and had different co-occurring side effects compared to younger adults. While dose reductions are common among older adults, age 65 years or older may not be an independent factor of treatment changes. Other socio-demographic and clinical factors may be more likely to be associated. Future studies can be conducted to further explore older adults’ tolerance to a variety of oral anticancer agents to generate more evidence to support optimal treatment decision-making and symptom management.

Asking the right questions: towards a person-centered conception of shared decision-making regarding treatment of advanced chronic kidney disease in older patients

An increasing number of older patients have to decide on a treatment plan for advanced chronic kidney disease (CKD), involving dialysis or conservative care. Shared decision-making (SDM) is recommended as the model for decision-making in such preference-sensitive decisions. The aim of SDM is to come to decisions that are consistent with the patient’s values and preferences and made by the patient and healthcare professional working together. In clinical practice, however, SDM appears to be not yet routine and needs further implementation. A shift from a biomedical to a person-centered conception might help to make the process more shared. Shared should, therefore, be interpreted as two persons bringing two perspectives to the table, that both need to be explored during the decision-making process. Starting from the patient’s perspective will enable to determine the mutual goals of care first and, subsequently, determine the best way for achieving those goals. To perform such SDM, the healthcare professional needs to become a skilled companion, being part of the patient’s relational context, and start asking the right questions about what matters to the patient as person. In this article, we describe the need for a person-centered conception of SDM for the setting of older patients with advanced CKD.

Dynamical indicators in time series of healthcare expenditures predict mortality risk of older adults following spousal bereavement

BACKGROUND

The process of aging renders older people susceptible for adverse outcomes upon stress. Various indicators derived from complex systems theory have been proposed for quantifying resilience in living organisms, including humans. We investigated the ability of system-based indicators in capturing the dynamics of resilience in humans who suffer the adversity of spousal bereavement and tested their predictive power in mortality as a finite health transition.

METHODS

Using longitudinal register data on weekly healthcare consumption of all Danish citizens over the age of 65 from January 1st, 2011, throughout December 31st, 2016, we performed statistical comparisons of the indicators 'average', 'slope', 'mean squared error', and 'lag-1 autocorrelation' one year before and after spousal bereavement, stratified for age and sex. The relation between levels of these indicators before bereavement and mortality hazards thereafter was determined by time to event analysis. We assessed the added value for mortality prediction via the time dependent area (AUC) under the receiver operating characteristic curve.

RESULTS

The study included 934,003 citizens of whom 51,890 experienced spousal bereavement and 2862 died in the first year thereafter. Healthcare consumption is increased, more volatile and accelerating with aging and in men compared to women (all p-values < 0.001). All dynamic indicators before bereavement were positively related with mortality hazards thereafter (all p-values < 0.001). The average discriminative performance for the 1-year mortality risk of the model with only age as a predictor (AUC: 68.9% and 70.2%) was significantly increased with the addition of dynamical indicators (78.5% and 82.4%) for males and females, respectively.

CONCLUSIONS

Dynamic indicators in time series of health care expenditures are strong predictors of mortality risk and could be part of predictive models for prognosis after life stressors, such as bereavement.

Resilience in sports: a multidisciplinary, dynamic, and personalized perspective

Athletes are exposed to various psychological and physiological stressors, such as losing matches and high training loads. Understanding and improving the resilience of athletes is therefore crucial to prevent performance decrements and psychological or physical problems. In this review, resilience is conceptualized as a dynamic process of bouncing back to normal functioning following stressors. This process has been of wide interest in psychology, but also in the physiology and sports science literature (e.g. load and recovery). To improve our understanding of the process of resilience, we argue for a collaborative synthesis of knowledge from the domains of psychology, physiology, sports science, and data science. Accordingly, we propose a multidisciplinary, dynamic, and personalized research agenda on resilience. We explain how new technologies and data science applications are important future trends (1) to detect warning signals for resilience losses in (combinations of) psychological and physiological changes, and (2) to provide athletes and their coaches with personalized feedback about athletes' resilience.

Referral to geriatric rehabilitation: a scoping review of triage factors in acutely hospitalised older patients

OBJECTIVE

Old or frail acutely hospitalised patients can benefit from geriatric rehabilitation but criteria concerning referral decisions are unclear. This review presents an overview of clinical factors associated with referral to geriatric rehabilitation that may further consensus between hospital and rehabilitation professionals on triage.

DESIGN

Scoping review.

METHODS

A review was conducted following Arksey and O'Malley's framework. The search included literature concerning a broad spectrum of acutely hospitalised patients and factors associated with their referral to geriatric rehabilitation.

RESULTS

Selected abstracts were categorised into distinct geriatric rehabilitation care pathways such as stroke, hip fracture, amputation of lower limb, cardiac and oncologic rehabilitation. Abstracts on internal medical patients were further reviewed and 29 studies were included. A total of 13 studies focused on factors identifying rehabilitation needs and 16 on factors associated with outcome of geriatric rehabilitation. Triage factors were diverse and included frailty status, functional decline, cognitive symptoms and multimorbidity. Mood symptoms and living situation further specified post-acute care needs. In overview, triage factors could be characterised as demographic (n = 4), diagnosis-related (n = 8), mental (n = 6), functional (n = 10) or multi-domain (n = 12) and mapped in a transitional care pathway.

CONCLUSIONS AND IMPLICATIONS

Frailty and functional decline are characteristics frequently associated with referral to geriatric rehabilitation of acutely hospitalised internal medical patients. A comprehensive geriatric assessment or a simpler multi-domain set of tests reveals rehabilitation needs and approximates a functional prognosis. Professional consensus on factors and timing of triage in hospital is within reach.

Age and Ageing journal 50th anniversary commentary seriesWhy illness is more important than disease in old age

Clinical reasoning and research in modern geriatrics often prioritises the disease concept. This is understandable as it has brought impressive advances in medicine (e.g. antibiotics, vaccines, successful cancer treatment and many effective surgeries). However, so far the disease framework has not succeeded in getting us to root causes of many age-related chronic diseases (e.g. Alzheimer’s disease, diabetes, osteoarthritis). Moreover, in aging and disease constructs alone fail to explain the variability in illness presentations.

Therefore, we propose to apply the underused illness concept in a new way by reconsidering the importance of common symptoms in the form of a dynamic network of symptoms as a complementary framework. We show that concepts and methods of complex system thinking now enable to fruitfully monitor and analyse the multiple interactions between symptoms in such in networks, offering new routes for prognosis and treatment. Moreover, close attention to the symptoms that bother older persons may also improve weighing the therapeutic objectives of well-being and survival and aligning treatment targets with the patients’ priorities.

Frailty in Glioblastoma Is Independent From Chronological Age

Objective: Treatment of glioblastoma in elderly patients is particularly challenging due to their general condition and comorbidities. Treatment decisions are often based on chronological age. Frailty screening tests promise an assessment tool to stratify geriatric patients and identify those at risk for an unfavorable outcome. This study aims to evaluate the impact of age and frailty on the surgical outcome and overall survival in geriatric patients with glioblastoma. Methods: Data acquisition was conducted as a single-center retrospective analysis. From January 1st 2015, and December 31st 2019, 104 glioblastoma patients over 70 years of age were included in our study. Demographic data, tumor size, Karnofsky Performance Score (KPS), and Eastern Cooperative Oncology Group Performance Status (ECOG), as well as treatment modalities, were assessed. The Geriatric 8 health status screening tool (G8) and Groningen Frailty Index (GFI) were compiled pre-and postoperatively. Results: The mean patient age was 76.86 ± 4.11 years. Forty-nine (47%) patients were female, 55 (53%) male. Sixty-seven patients underwent microsurgical tumor resection, 37 received tumor biopsy alone. Mean G8 on admission was 12.4 ± 2.0, mean GFI 5.0 ± 2.5. In our cohort, frailty was independent of patient age, tumor size, or localization. Frailty, defined by G8 and GFI, is associated with shorter overall survival (G8: p = 0.0035; GFI: p = 0.0136) and higher numbers of surgical complications (G8: p = 0.0326; GFI: p = 0.0388). Frailer patients are more likely to receive best supportive care (p = 0.004). Nevertheless, frailty did not affect adjuvant treatment decision-making toward either single-use of chemo- or radiation therapy, stratified treatment, or concomitant therapy. The surgical decision on the extent of resection was not based on pre-operative frailty. Conclusion: In our study, frailty is a predictor of poorer surgical outcomes, post-operative complications, and impaired overall survival independent of chronological age. Frailty screening tests offer an additional assessment tool to stratify geriatric patients with glioblastoma and identify those at risk for a detrimental outcome and thus should be implemented in therapeutic decision making.

Electroencephalogram-Based Complexity Measures as Predictors of Post-operative Neurocognitive Dysfunction

Physiologic signals such as the electroencephalogram (EEG) demonstrate irregular behaviors due to the interaction of multiple control processes operating over different time scales. The complexity of this behavior can be quantified using multi-scale entropy (MSE). High physiologic complexity denotes health, and a loss of complexity can predict adverse outcomes. Since postoperative delirium is particularly hard to predict, we investigated whether the complexity of preoperative and intraoperative frontal EEG signals could predict postoperative delirium and its endophenotype, inattention. To calculate MSE, the sample entropy of EEG recordings was computed at different time scales, then plotted against scale; complexity is the total area under the curve. MSE of frontal EEG recordings was computed in 50 patients ≥ age 60 before and during surgery. Average MSE was higher intra-operatively than pre-operatively (p = 0.0003). However, intraoperative EEG MSE was lower than preoperative MSE at smaller scales, but higher at larger scales (interaction p < 0.001), creating a crossover point where, by definition, preoperative, and intraoperative MSE curves met. Overall, EEG complexity was not associated with delirium or attention. In 42/50 patients with single crossover points, the scale at which the intraoperative and preoperative entropy curves crossed showed an inverse relationship with delirium-severity score change (Spearman ρ = -0.31, p = 0.054). Thus, average EEG complexity increases intra-operatively in older adults, but is scale dependent. The scale at which preoperative and intraoperative complexity is equal (i.e., the crossover point) may predict delirium. Future studies should assess whether the crossover point represents changes in neural control mechanisms that predispose patients to postoperative delirium.

Physical Resilience in Daily Functioning Among Acutely Ill Hospitalized Older Adults: The Hospital-ADL Study

OBJECTIVES

Insight into older adults' physical resilience is needed to predict functional recovery after hospitalization. We assessed functional trajectories in response to acute illness and subsequent hospitalization and investigated baseline variables and dynamic variables associated with these trajectories.

DESIGN

Prospective observational cohort study (Hospitalization-Associated Disability and impact on daily Life Study).

SETTING AND PARTICIPANTS

This study included 207 older adults (aged 79.8 ± 6.9 years, 49% female, 57% frail) acutely hospitalized in 6 Dutch hospitals.

METHODS

Functional disability was assessed using the 15-item modified activities of daily living index retrospectively 2 weeks before admission, and prospectively from admission up to 3 months after discharge. Baseline variables including frailty, somatic, physical, and psychosocial factors were assessed at admission. Dynamic variables (step count, pain, fatigue, and fear of falling) were continuously or repeatedly assessed during hospitalization. We performed individual spline modeling using random effects. Baseline variables and within-person mean levels and variability in the dynamic variables were assessed as predictors of functional trajectories.

RESULTS

Functional disability significantly increased before admission and decreased from admission to 3 months post discharge. Frail participants had a significantly higher increase in functional disability before admission compared with nonfrail participants. Lower step count, higher pain scores, and higher within-person variability in fear of falling were significantly associated with higher increase in functional disability before admission. Higher within-person variability in fear of falling was associated with more recovery.

CONCLUSIONS AND IMPLICATIONS

Older adults increase in functional disability before hospitalization and start to recover from admission onward. Frailty and dynamic variables are associated with a higher increase in functional disability after acute illness. Our findings give more insight into older adults' physical resilience, which may improve the prediction of functional recovery and may improve therapeutic decision-making and rehabilitation strategies to improve functional recovery after acute hospitalization.

Perceived Recovery Time from Common Cold as a Possible Indicator of Physical Resilience

Background

Resilience refers to the ability to recover function after encounter with stressors. While psychological resilience refers to the ability to cope with psychological stress, physical resilience refers to functional restoration after biomedical challenges. However, there is no gold standard to assess physical resilience. Accordingly, we explored whether the perceived recovery time from common cold could be used to represent physical resilience.

Methods

We analyzed data of individuals aged 72–86 years who had participated in the Korean Frailty and Aging Cohort Study in 2019. Among the 1,455 survey participants, 594 with asthma and chronic obstructive pulmonary disease and missing data were excluded. The remaining 861 participants were divided into three groups according to the number of days required for recovery from common cold (Group 1, 1–4 days; Group 2, 5–7 days; and Group 3, ≥8 days). The relationship between recovery time and psychological resilience scale (Brief Resilience Scale [BRS]) score, physical frailty (Fried’s physical frailty phenotype and the Korean Frailty Index for Primary Care [KFI-PC]), and frailty outcome was investigated.

Results

Group 3 comprised individuals more likely to be women, sleep less, be less physically less active, fall more often, and have a low EuroQol visual analogue scale score. BRS scores differed significantly among the three groups (Group 1, 13.29; Group 2, 14.32; Group 3, 15.22; p<0.001). In multivariate analysis, post-hoc analysis with the Bonferroni method revealed significant differences in BRS between Groups 1–2 and Groups 1–3. However, the KFI-PC and number of falls did not differ significantly.

Conclusions

Longer days of recovery from cold were associated with worse BRS scores. However, neither frailty nor the number of falls was related.

A template for physical resilience research in older adults: Methods of the PRIME-KNEE study

BACKGROUND

Older adults with similar health conditions often experience widely divergent outcomes following health stressors. Variable recovery after a health stressor may be due in part to differences in biological mechanisms at the molecular, cellular, or system level, that are elicited in response to stressors. We describe the PRIME-KNEE study as an example of ongoing research to validate provocative clinical tests and biomarkers that predict resilience to specific health stressors.

METHODS

PRIME-KNEE is an ongoing, prospective cohort study that will enroll 250 adults ≥60 years undergoing total knee arthroplasty. Data are collected at baseline (pre-surgery), during surgery, daily for 7 days after surgery, and at 1, 2, 4, and 6 months post-surgery. Provocative tests include a cognition-motor dual-task walking test, cerebrovascular reactivity assessed by functional near-infrared spectroscopy, peripheral blood mononuclear cell reactivity ex vivo to lipopolysaccharide toxin and influenza vaccine, and heart rate variability during surgery. Cognitive, psychological, and physical performance batteries are collected at baseline to estimate prestressor reserve. Demographics, medications, comorbidities, and stressor characteristics are abstracted from the electronic medical record and via participant interview. Blood-based biomarkers are collected at baseline and postoperative day 1. Repeated measures after surgery include items from a delirium assessment tool and pain scales administered daily by telephone for 7 days and cognitive change index (participant and informant), lower extremity activities of daily living, pain scales, and step counts assessed by Garmin actigraphy at 1, 2, 4, and 6 months after surgery. Statistical models use these measures to characterize resilience phenotypes and evaluate prestressor clinical indicators associated with poststressor resilience.

CONCLUSION

If PRIME-KNEE validates feasible clinical tests and biomarkers that predict recovery trajectories in older surgical patients, these tools may inform surgical decision-making, guide pre-habilitation efforts, and elucidate mechanisms underlying resilience. This study design could motivate future geriatric research on resilience.

Adaptive Capacities and Complexity of Heart Rate Variability in Patients With Chronic Obstructive Pulmonary Disease Throughout Pulmonary Rehabilitation

Introduction

The complexity of bio-signals, like R-R intervals, is considered a reflection of the organism's capacity to adapt. However, this association still remains to be consolidated. We investigated whether the complexity of R-R intervals at rest and during perturbation [6-minute walking test (6MWT)], yielded information regarding adaptive capacities in Chronic Obstructive Pulmonary Disease (COPD) patients during pulmonary rehabilitation (PR).

Methods

In total, 23 COPD patients (64 ± 8 years, with forced expiratory volume in 1 s of 55 ± 19% predicted) were tested three times at the start (T1), middle (T2), and end (T3) of 4 weeks PR. Each time, R-R intervals were measured at rest and during 6MWT. The complexity of R-R intervals was assessed by evenly spaced Detrended Fluctuations Analysis and evaluated by the fractal exponent α and deviation from maximal complexity |1-α|.

Results

The 6MWT distance was significantly increased at T2 and T3 compared to T1. Neither α nor |1-α| at rest and during perturbation significantly changed throughout PR, nor were they consistently associated with 6MWT distances at each time. Throughout the PR program, complexity during the 6MWT was significantly lower compared to the rest. The level of α during 6MWT at T1 was positively correlated with the improvement of the 6MWT distance throughout the PR program.

Discussion

Reduced complexity in COPD patients during acute perturbation at the beginning of PR supports a decreased improvement of the 6MWT distance throughout PR. This result seems consistent with the notion that the complexity reflects the patients' adaptive capacities and could therefore become a clinical indicator in an applied perspective.

Defining Resilience in Older People: Does a Subjective Definition of Stressor Work?

BACKGROUND

The operational definition of resilience is elusive and resilient people are difficult to identify. We used self-reported "major health event" (srMHE) to identify resilience and evaluate the functional and mortality trajectories associated with this condition.

METHOD

We selected from the InCHIANTI study persons aged 65 or older who could perform the Short Physical Performance Battery at baseline and attended the 3 years follow-up visit. We identified 4 groups: Controls: no srMHE and no decline in physical function; Decliners: no srMHE and decline in physical function; Resilient: srMHE and no decline in physical function; and Non-resilient: srMHE and decline in physical function. Linear mixed models and Cox regression were used to analyze changes in activities of daily living (ADL) score over 9- and 10-year mortality across groups, respectively.

RESULTS

The 313 participants that reported a srMHE had worse perceived health status and higher number of GP visits and prescribed drugs at baseline. Of these, 78 were Resilient and 235 Non-resilient; of the remaining, 136 were Controls and 277 Decliners. Compared to the Controls, Resilient had similar change of ADL score over time (β: -.03, p = .92) and mortality (hazard ratio: 1.31, 95% confidence interval: 0.76-2.23), while Decliners and Non-resilient showed significantly higher mortality and, the latter, worsening of ADL score. Additional srMHE during follow-up affected the rate of change of ADL score and mortality more in the Controls group than in the Resilient group.

CONCLUSIONS

A srMHE along with repeated evaluation of physical function may be used to identify resilience in older people, and may complement the standard functional evaluation of geriatric patients.

Longitudinal analysis of blood markers reveals progressive loss of resilience and predicts human lifespan limit

We investigated the dynamic properties of the organism state fluctuations along individual aging trajectories in a large longitudinal database of CBC measurements from a consumer diagnostics laboratory. To simplify the analysis, we used a log-linear mortality estimate from the CBC variables as a single quantitative measure of the aging process, henceforth referred to as dynamic organism state indicator (DOSI). We observed, that the age-dependent population DOSI distribution broadening could be explained by a progressive loss of physiological resilience measured by the DOSI auto-correlation time. Extrapolation of this trend suggested that DOSI recovery time and variance would simultaneously diverge at a critical point of 120 - 150 years of age corresponding to a complete loss of resilience. The observation was immediately confirmed by the independent analysis of correlation properties of intraday physical activity levels fluctuations collected by wearable devices. We conclude that the criticality resulting in the end of life is an intrinsic biological property of an organism that is independent of stress factors and signifies a fundamental or absolute limit of human lifespan.

Role of a multidimensional prognosis in-hospital monitoring for older patients with prolonged stay

OBJECTIVES

The Multidimensional Prognostic Index (MPI) is a prognostic tool-amongst others-validated for mortality, length of hospital stay (LHS) and rehospitalisation risk assessment. Like the Comprehensive Geriatric Assessment (CGA), the MPI is usually obtained at hospital admission and discharge, not during the hospital stay. The aim of the present study was to address the role of an additional CGA-based MPI measurement during hospitalisation as an indicator of "real-time" in-hospital changes.

STUDY DESIGN AND MAIN OUTCOME MEASURES

Two-hundred consecutive multimorbid patients (128 M, 72 F, median age 75 (78-82)) admitted to an internal medicine ward of a German metropolitan university hospital prospectively underwent a CGA and a prognosis calculation using the MPI on admission and discharge. Seven to 10 days later, an intermediate assessment (IA) was performed for patients needing a longer stay.

RESULTS

The median LHS was 10 (6-19) days. As expected, patients who received an IA had poorer prognosis as measured by higher MPI values (P = .037) and a worse functional status at admission than patients who had a shorter stay (P = .025). In case of prolonged hospitalisation, significant changes in the MPI were detected between admission and IA, both in terms of improvement and deterioration (P < .001). Different overtime courses were observed during prolonged hospitalisation according to the severity of prognosis (P < .001).

CONCLUSION

A CGA-based MPI evaluation during hospitalisation can be used as an objective instrument to detect changes in multidimensional health course. Prompt identification of the latter may enable quick tailored interventions to ensure overall better outcomes at and after discharge.

Dynamical indicators of resilience from physiological time series in geriatric inpatients: Lessons learned

The concept of physical resilience may help geriatric medicine objectively assess patients' ability to 'bounce back' from future health challenges. Indicators putatively forecasting resilience have been developed under two paradigms with different perspectives: Critical Slowing Down and Loss of Complexity. This study explored whether these indicators validly reflect the construct of resilience in geriatric inpatients. Geriatric patients (n = 121, 60% female) had their heart rate and physical activity continuously monitored using a chest-worn sensor. Indicators from both paradigms were extracted from both physiological signals. Measures of health functioning, concomitant with low resilience, were obtained by questionnaire at admission. The relationships among indicators and their associations with health functioning were assessed by correlation and linear regression analyses, respectively. Greater complexity and higher variance in physical activity were associated with lower frailty (β = -0.28, p = .004 and β = -0.37, p < .001, respectively) and better ADL function (β = 0.23, p = .022 and β = 0.38, p < .001). The associations of physical activity variance with health functioning were not in the expected direction based on Critical Slowing Down. In retrospect, these observations stress the importance of matching the resilience paradigm's assumptions to the homeostatic role of the variable monitored. We present several lessons learned.

Potentially preventable hospitalizations-The 'pre-hospital syndrome': Retrospective observations from the MonashWatch self-reported health journey study in Victoria, Australia

RATIONALE, AIMS, AND OBJECTIVES

HealthLinks: Chronic Care is a state-wide public hospital initiative designed to improve care for cohorts at-risk of potentially preventable hospitalizations at no extra cost. MonashWatch (MW) is an hospital outreach service designed to optimize admissions in an at-risk cohort. Telehealth operators make regular phone calls (≥weekly) using the Patient Journey Record System (PaJR). PaJR generates flags based on patient self-report, alerting to a risk of admission or emergency department attendance. 'Total flags' of global health represent concerns about self-reported general health, medication, and wellness. 'Red flags' represent significant disease/symptoms concerns, likely to lead to hospitalization.

METHODS

A time series analysis of PaJR phone calls to MW patients with ≥1 acute non-surgical admissions in a 20-day time window (10 days pre-admission and 10 days post-discharge) between 23 December 2016 and 11 October 2017. Pettitt's hypothesis-testing homogeneity measure was deployed to analyse Victorian Admitted Episode/Emergency Minimum Datasets and PaJR data.

FINDINGS

A MW cohort of 103 patients (mean age 74 ± 15 years; with 59% males) had 263 admissions was identified. Bed days ranged from <1 to 37.3 (mean 5.8 ± 5.8; median 4.1). The MW cohort had 7.6 calls on average in the 20-day pre- and post-hospital period. Most patients reported significantly increased flags 'pre-hospital' admission: medication issues increased on day 7.0 to 8.5; total flags day 3, worse general health days 2.5 to 1.8; and red flags of disease symptoms increased on day 1. These flags persisted following discharge.

DISCUSSION/CONCLUSION

This study identified a 'pre-hospital syndrome' similar to a post-hospital phase aka the well-documented 'post-hospital syndrome'. There is evidence of a 10-day 'pre-hospital' window for interventions to possibly prevent or shorten an acute admission in this MW cohort. Further validation in a larger diverse sample is needed.

Orthostatic Blood Pressure Recovery Is Associated With the Rate of Cognitive Decline and Mortality in Clinical Alzheimer's Disease

Background

Impaired recovery of blood pressure (BP) after standing has been shown to be related to cognitive function and mortality in people without dementia, but its role in people with Alzheimer’s disease (AD) is unknown. The aim of this study was to investigate the association of the orthostatic BP response with cognitive decline and mortality in AD.

Methods

In this post hoc analysis of a randomized controlled trial (Nilvad), we measured the beat-to-beat response of BP upon active standing in mild-to-moderate AD. This included the initial drop (nadir within 40 seconds) and recovery after 1 minute, both expressed relative to resting values. We examined the relationship between a small or large initial drop (median split) and unimpaired (≥100%) or impaired recovery (<100%) with 1.5-year change in Alzheimer’s Disease Assessment—cognitive subscale (ADAS-cog) scores and all-cause mortality.

Results

We included 55 participants (age 73.1 ± 6.2 years). Impaired BP recovery was associated with higher increases in ADAS-cog scores (systolic: β [95% confidence interval] = 5.6 [0.4–10.8], p = .035; diastolic: 7.6 [2.3–13.0], p = .006). During a median follow-up time of 49 months, 20 participants died. Impaired BP recovery was associated with increased mortality (systolic: HR [95% confidence interval] = 2.9 [1.1–7.8], p = .039; diastolic: HR [95% confidence interval] = 5.5 [1.9–16.1], p = .002). The initial BP drop was not associated with any outcome. Results were adjusted for age, sex, and intervention group.

Conclusions

Failure to fully recover BP after 1 minute of standing is associated with cognitive decline and mortality in AD. As such, BP recovery can be regarded as an easily obtained marker of progression rate of AD.

Early detection of accelerated aging and cellular decline (AACD): A consensus statement

The cellular hallmarks of accelerated aging and their clinical expression may be grouped using the terms 'accelerated aging and cellular decline' (AACD) and/or 'age-associated cellular decline'. This construct is designed to capture the biological background predisposing the development of age-related conditions. By classifying risk factors, early indicators, and clinical differentiators of AACD through expert consensus, this study aimed to identify the signs, symptoms, and markers indicative of AACD. In doing so, this work paves the way for future implementation of the AACD concept in the clinical and research settings. An interdisciplinary panel of experts with clinical and research expertise was selected to participate in a virtual workshop to discuss AACD. A modified nominal group technique was used to establish consensus among the group. An extended group of international experts critically reviewed an early draft of the manuscript, and their feedback was then incorporated into the model. Experts identified 13 factors predisposing to or clinically manifesting AACD. Among these, chronic diseases, obesity, and unfavorable genetic background were considered as the most important. There was a consensus that a gradual and nonspecific development often characterizes AACD, making its clinical detection potentially challenging. In addition, signs and symptoms might have multifactorial causes and overlapping origins, such as genetic and epigenetic predispositions. As a result, an initial checklist was outlined, listing clinical factors of special relevance (e.g., fatigue, low quality of sleep, and low mood) to represent early manifestations of the organism's exhaustion, which are also frequently neglected in the clinical setting. Differentiating AACD from other conditions is essential. The use of a combination of biomarkers was proposed as a viable method in a two-step process of differentiation: 1) identification of early AACD clinical indicators, followed by 2) symptom and biomarker confirmation with a focus on system domains (to be potentially targeted by future specific interventions). Although the AACD construct is not yet ready for routine use in clinical practice, its operationalization may support the early identification of age-related conditions (when this might still be amenable to reversion) and also encourage preventative interventions. Further investigation is needed to establish specific biomarkers that confirm independent risk factors for AACD and provide a more definitive structure to the concept of AACD (and age-associated cellular decline).

Effect of Age on Longitudinal Changes in Symptoms, Function, and Outcome in the First Year After Mild-Moderate Traumatic Brain Injury

OBJECTIVE

The aim of this study was to describe and compare the recovery and disability trajectory at 1 year post injury for younger and older adults with traumatic brain injury (TBI).

METHODS

This was a prospective longitudinal cohort study. Individuals 21 years and older with mild to moderate TBI were recruited from the emergency department (n = 33). We measured symptoms, function (Glasgow Outcome Scale-Extended, Functional Status Examination), and health-related quality of life (HRQOL) at 1 week and 1, 3, 6, and 12 months post injury.

RESULTS

Whereas the total number of symptoms does not differ between younger and older adults after TBI, the specific constellation of symptoms experienced does. Older adults are more likely to experience physical symptoms such as fatigue, balance, and coordination problems as well as complain of being bothered by noise. Younger adults, in contrast, endorse more psychological symptoms such as anxiety. Functioning as measured by the Glasgow Outcome Scale-Extended and Functional Status Examination was lower in older adults at 1 year post injury. Physical HRQOL was consistently poorer in the year post injury among older adults compared with younger adults after TBI. Mental HRQOL, in contrast, was higher in older adults post TBI at 1 year.

CONCLUSIONS

During the first year post TBI, older adults report different symptom clusters than do younger adults post TBI. To foster improved recovery and HRQOL in the older adult post TBI, nursing management strategies should focus on balance, coordination, and energy conservation.

Resilience in older persons: A systematic review of the conceptual literature

Although ageing research increasingly incorporates resilience, a common notion on what resilience means is lacking. We aimed to give a comprehensive overview of the conceptual literature on resilience in older persons, identifying areas of consensus and variation/debate. A systematic search of eight databases from different disciplines led to the inclusion of 36 texts. Across the conceptual literature of resilience in older persons, three common features of descriptions of resilience were identified: a stressor, a response and a mechanism. Based on differences in their interpretation of how resilience is expressed we distinguished two perspectives. The first, classical and most widely applied perspective, describes the expression of resilience as a positive response to a high intensity stressor. The second, newer perspective, describes resilience in the context of responses relative to equilibrium, following low intensity stressors. Almost all descriptions across the two perspectives describe the resilience mechanism to be dynamic and emphasize the importance of the context in achieving resilience. This review provides clarity on the current conceptual status of resilience in older persons, an important step towards a higher level of consistency in the future use of resilience in ageing.

Newly diagnosed glioblastoma in geriatric (65 +) patients: impact of patients frailty, comorbidity burden and obesity on overall survival

Object

Increasing age is a known negative prognostic factor for glioblastoma. However, a multifactorial approach is necessary to achieve optimal neuro-oncological treatment. It remains unclear to what extent frailty, comorbidity burden, and obesity might exert influence on survival in geriatric glioblastoma patients. We have therefore reviewed our institutional database to assess the prognostic value of these factors in elderly glioblastoma patients.

Methods

Between 2012 and 2018, patients aged ≥ 65 years with newly diagnosed glioblastoma were included in this retrospective analysis. Patients frailty was analyzed using the modified frailty index (mFI), while patients comorbidity burden was assessed according to the Charlson comorbidity index (CCI). Body mass index (BMI) was used as categorized variable.

Results

A total of 110 geriatric patients with newly diagnosed glioblastoma were identified. Geriatric patients categorized as least-frail achieved a median overall survival (mOS) of 17 months, whereas most frail patients achieved a mOS of 8 months (p = 0.003). Patients with a CCI > 2 had a lower mOS of 6 months compared to patients with a lower comorbidity burden (12 months; p = 0.03). Multivariate analysis identified “subtotal resection” (p = 0.02), “unmethylated MGMT promoter status” (p = 0.03), “BMI < 30” (p = 0.04), and “frail patient (mFI ≥ 0.27)” (p = 0.03) as significant and independent predictors of 1-year mortality in geriatric patients with surgical treatment of glioblastoma (Nagelkerke's R² 0.31).

Conclusions

The present study concludes that both increased frailty and comorbidity burden are significantly associated with poor OS in geriatric patients with glioblastoma. Further, the present series suggests an obesity paradox in geriatric glioblastoma patients.

Electronic supplementary material

The online version of this article (10.1007/s11060-020-03625-2) contains supplementary material, which is available to authorized users.

What Now for Rehabilitation Specialists? Coronavirus Disease 2019 Questions and Answers

Recognizing a need for more guidance on the coronavirus disease 2019 (COVID-19) pandemic, members of the Archives of Physical Medicine and Rehabilitation Editorial Board invited several clinicians with early experience managing the disease to collaborate on a document to help guide rehabilitation clinicians in the community. This consensus document is written in a “question and answer” format and contains information on the following items: common manifestations of the disease; rehabilitation recommendations in the acute hospital setting, recommendations for inpatient rehabilitation and special considerations. These suggestions are intended for use by rehabilitation clinicians in the inpatient setting caring for patients with confirmed or suspected COVID-19. The text represents the authors’ best judgment at the time it was written. However, our knowledge of COVID-19 is growing rapidly. The reader should take advantage of the most up-to-date information when making clinical decisions.

A Debatable Top Ten Papers in Geriatric Medicine List

A personal top ten list of literature about aging and the practice of geriatrics is offered. This is primarily directed at those completing their training in the care of older patients. While acknowledging the limitations of any such exercise, it is hoped that it will engender interest in prior work by and about older persons and their care. Those at the start of their careers in geriatrics are encouraged to read these and other primary contributions, make their own list of essential literature, and incorporate the lessons learned and the examples of prior practitioners into their professional practice.

The Application of the Concept of Resilience in Aging Research and Older Adult Care: A Focus Group Study

Introduction: Research incorporating resilience, a concept featuring a positive outcome despite some type of stressor, has the potential to identify possibilities for promotion of the well-being of older people. This study aims to gain insight into the value and potential applications of resilience in both research and care practice from the perspective of researchers and care professionals. Specifically, the value of two scientific approaches, the a priori (i.e., based on a priori definition of a stressor and outcome) and dynamical systems approaches (i.e., based on mathematically modeled patterns in the real-time response to perturbations), was explored. Methods: Focus groups were performed to explore the thoughts of academic researchers from different disciplines in the fields of aging and care and care professionals on the application of the concept of resilience, including the a priori and dynamical systems approaches. Analysis of these focus groups was based on the framework method. Results: Five focus groups were held with a total of nine researchers from different disciplines (e.g., epidemiology, sociology) and 15 older adult care professionals from different professions (e.g., elderly care physician, physiotherapist). The participants described resilience as a concept with value for both aging research and care through its positive connotation and comprehensiveness. Continued research was thought to play an important role in clearing up some of the existing ambiguity surrounding resilience. The importance of resilience in the context of both high- and low-intensity stressors was underscored. The a priori and dynamical systems approaches were considered to have their specific advantages and disadvantages on both conceptual and feasibility levels. Therefore, the use of both approaches, side by side and in combination, was suggested. Conclusion: This qualitative exploration among researchers and care professionals confirms that the concept of resilience, including the a priori and dynamical systems approaches, is valuable. However, more work is necessary before can be delivered on the potential of resilience in aging research and older adult care practice. Greater conceptual and operational clarity can be achieved through more qualitative studies on the concept that take the perspective of older people into account and through empirical studies that work with both approaches simultaneously and/or in combination.

Frailty Combined with Loneliness or Social Isolation: An Elevated Risk for Mortality in Later Life

BACKGROUND/OBJECTIVES

Frailty, loneliness, and social isolation are all associated with adverse outcomes in older adults, but little is known about their combined impact on mortality.

DESIGN

Prospective cohort study.

SETTING

The Longitudinal Aging Study Amsterdam.

PARTICIPANTS

Community-dwelling older adults aged 65 and older (n = 1,427).

MEASUREMENTS

Frailty was measured with the frailty phenotype (Fried criteria). Loneliness was assessed with the De Jong Gierveld Loneliness Scale. Social isolation was operationalized using information on partner status, social support, and network size. Two categorical variables were created, for each possible combination regarding frailty and loneliness (FL) and frailty and social isolation (FS), respectively. Mortality was monitored over a period of 22 years (1995-2017). Survival curves and Cox proportional hazard models were used to study the effects of the FL and FS combinations on mortality. Analyses were adjusted for sociodemographic factors, depression, chronic diseases, and smoking.

RESULTS

Frailty prevalence was 13%, and 5.9% of the sample were frail and lonely, and 6.2% frail and socially isolated. In fully adjusted models, older adults who were only frail had a higher risk of mortality compared with people without any of the conditions (hazard ratio [HR] range = 1.40-1.48; P < .01). However, the highest risk of mortality was observed in people with a combined presence of frailty and loneliness or social isolation (HR_FL = 1.83; 95% confidence interval [CI] = 1.42-2.37; HR_FS = 1.77; 95% CI = 1.36-2.30). Sensitivity analyses using a frailty index based on the deficit accumulation approach instead of the frailty phenotype showed similar results, confirming the robustness of our findings.

CONCLUSION

Frail older adults are at increased risk of mortality, but this risk is even higher for those who are also lonely or socially isolated. To optimize well-being and health outcomes in physically frail older adults, targeted interventions focusing on both subjective and objective social vulnerability are needed.