Predicting speed at traffic lights--the problem with static assessments of frailty

Assessing Physiologic Reserve and Frailty in the Older Emergency Department Patient: Should the Paradigm Change?

Older patients are more vulnerable to acute illness or injury because of reduced physiologic reserve associated with aging. Therefore, their assessment in the emergency department (ED) should include not only vital signs and their baseline values but also changes that reflect physiologic reserve, such as mobility, mental status, and frailty. Combining aggregated vitals sign scores and frailty might improve risk stratification in the ED. Implementing these changes in ED assessment may require the introduction of senior-friendly processes to ensure ED treatment is appropriate to the older patients' immediate discomfort, personal goals, and likely prognosis.

Can vital signs recorded in patients' homes aid decision making in emergency care? A Scoping Review

Aim

Use of tele-health programs and wearable sensors that allow patients to monitor their own vital signs have been expanded in response to COVID-19. We aimed to explore the utility of patient-held data during presentation as medical emergencies.

Methods

We undertook a systematic scoping review of two groups of studies: studies using non-invasive vital sign monitoring in patients with chronic diseases aimed at preventing unscheduled reviews in primary care, hospitalization or emergency department visits and studies using vital sign measurements from wearable sensors for decision making by clinicians on presentation of these patients as emergencies. Only studies that described a comparator or control group were included. Studies limited to inpatient use of devices were excluded.

Results

The initial search resulted in 896 references for screening, nine more studies were identified through searches of references. 26 studies fulfilled inclusion and exclusion criteria and were further analyzed. The majority of studies were from telehealth programs of patients with congestive heart failure or Chronic Obstructive Pulmonary Disease. There was limited evidence that patient held data is currently used to risk-stratify the admission or discharge process for medical emergencies. Studies that showed impact on mortality or hospital admission rates measured vital signs at least daily. We identified no interventional study using commercially available sensors in watches or smart phones.

Conclusions

Further research is needed to determine utility of patient held monitoring devices to guide management of acute medical emergencies at the patients' home, on presentation to hospital and after discharge back to the community.

The Use of Figurative Language to Describe Frailty in Older Adults

INTRODUCTION

Frailty affects 15% of non-institutionalized older adults in the United States, yet confusion remains in defining and, in turn, assessing frailty. Figurative language, such as metaphor, can help to explain difficult scientific concepts and to form new theories. We aimed to examine the use of figurative language to describe frailty and to identify themes in the way figurative expressions are used. Understanding how frailty is described figuratively may offer insights for developing useful communication approaches in research settings.

METHODS

We performed a comprehensive review of editorials in the scientific literature to explore figurative language used to describe frailty in older adults. We categorized themes among the figurative expressions, which may help to inform how to effectively communicate about frailty.

RESULTS

We found 24 editorials containing 32 figurative expressions. The figurative expressions conceptualized frailty in six ways: 1) a complex, multifaceted concept; 2) an important issue in health and medicine; 3) indicative of something that is failing or faulty; 4) indicative of fragility; 5) representative of vulnerable, ignored persons; and 6) an opportunity for self-awareness and reflection.

DISCUSSION

Our review highlights the heterogeneity in depictions of frailty, which is consonant with the lack of a standardized definition of frailty. We also found a novel aspect to the concept of frailty, which merits attention: frailty characterized as an opportunity for self-awareness and reflection. Figurative language, which often juxtaposes familiar with challenging, complex concepts, can offer insights on issues in frailty research and holds potential as a tool for researchers to improve communication about this important and debated medical condition.

Defining Aging Phenotypes and Related Outcomes: Clues to Recognize Frailty in Hospitalized Older Patients

Background

Because frailty is a complex phenomenon associated with poor outcomes, the identification of patient profiles with different care needs might be of greater practical help than to look for a unifying definition. This study aimed at identifying aging phenotypes and their related outcomes in order to recognize frailty in hospitalized older patients.

Methods

Patients aged 65 or older enrolled in internal medicine and geriatric wards participating in the REPOSI registry. Relationships among variables associated to sociodemographic, physical, cognitive, functional, and medical status were explored using a multiple correspondence analysis. The hierarchical cluster analysis was then performed to identify possible patient profiles. Multivariable logistic regression was used to verify the association between clusters and outcomes (in-hospital mortality and 3-month postdischarge mortality and rehospitalization).

Results

2,841 patients were included in the statistical analyses. Four clusters were identified: the healthiest (I); those with multimorbidity (II); the functionally independent women with osteoporosis and arthritis (III); and the functionally dependent oldest old patients with cognitive impairment (IV). There was a significantly higher in-hospital mortality in Cluster II (odds ratio [OR] = 2.27, 95% confidence interval [CI] = 1.15-4.46) and Cluster IV (OR = 5.15, 95% CI = 2.58-10.26) and a higher 3-month mortality in Cluster II (OR = 1.66, 95% CI = 1.13-2.44) and Cluster IV (OR = 1.86, 95% CI = 1.15-3.00) than in Cluster I.

Conclusions

Using alternative analytical techniques among hospitalized older patients, we could distinguish different frailty phenotypes, differently associated with adverse events. The identification of different patient profiles can help defining the best care strategy according to specific patient needs.