Systemic effects of chronic obstructive pulmonary disease in young-old adults' life-space mobility

Initial validation of the university of Alabama Birmingham study of aging life-space assessment in older adults with multiple sclerosis

BACKGROUND

Older adults with multiple sclerosis (OAMS) have declines in walking and physical performance that may erode community mobility defined as the spatial extent of mobility in one's daily life and environment.

OBJECTIVE

This study provided the first application and validation of the University of Alabama Birmingham Study of Aging Life-Space Assessment (UAB LSA) as a measure of community mobility in OAMS.

METHODS

The sample included 97 OAMS and 108 healthy controls (HCs) who completed baseline assessments as part of an ongoing, longitudinal study. The primary assessments included the UAB LSA and timed 25-foot walk (T25FW), short physical performance battery (SPPB), global health score (GHS), and geriatric depression scale (GDS) in both OAMS and HCs, and patient determined disease steps (PDDS) scale in only OAMS.

RESULTS

OAMS had significantly lower UAB LSA scores than HCs (p < .001). UAB LSA scores had strong correlations with T25FW(rs = -.641) and SPPB(rs = 0.507) in OAMS, and moderate correlations in HCs (rs = -.300 & rs = 0.384). The correlations between UAB LSA and GHS and GDS scores were significant, but small in OAMS (rs = -.239 & rs = -.231), and not statistically significant in HCs (rs = -.009 & rs = -.166). There was a strong correlation between UAB LSA and PDDS scores in the OAMS sample (rs = -.605).

CONCLUSION

We provided initial evidence for UAB LSA scores as a measure of community mobility in OAMS.

Grupo de síntomas de enfermedad pulmonar obstructiva crónica y cuidados paliativos: una revisión sistemática

La enfermedad pulmonar obstructiva crónica (EPOC) es una entidad patológica que se caracteriza por una serie de manifestaciones físicas persistentes como tos, fatiga, disnea y producción de esputo; síntomas que generan malestar en el paciente desde el momento del diagnóstico y que, al ser una enfermedad irreversible por el daño tisular que causa, progresivamente va incidiendo de manera negativa en la calidad de vida. De otra parte, se ha reportado presencia de síntomas psicológicos como depresión, inseguridad, ansiedad y alteraciones emocionales en los pacientes diagnosticados con EPOC. Así mismo, los pacientes con este diagnóstico tienden a desarrollar comportamientos que alteran sus relaciones sociales familiares y laborales, por cuanto tienden a aislarse debido a la sintomatología, especialmente física. La situación planteada genera la necesidad de desarrollar un trabajo de investigación con el objetivo de reconocer el clúster de síntomas físicos, psicológicos y sociales de los pacientes diagnosticados con EPOC, e identificar si se plantea un abordaje desde la atención paliativa. El estudio se desarrolló mediante una revisión sistemática de literatura en la que se identificaron 1776 artículos, de los que se evaluaron 41 para la identificación del clúster de síntomas. Se identificó el binomio disnea y tos, fatiga y expectoración como el clúster de síntomas físicos; la depresión y la ansiedad constituyen el clúster de síntomas psicológicos, y el impacto en la calidad de vida y la percepción de aislamiento o exclusión social.

Significant Subgraph Detection in Multi-omics Networks for Disease Pathway Identification

Chronic obstructive pulmonary disease (COPD) is one of the leading causes of death in the United States. COPD represents one of many areas of research where identifying complex pathways and networks of interacting biomarkers is an important avenue toward studying disease progression and potentially discovering cures. Recently, sparse multiple canonical correlation network analysis (SmCCNet) was developed to identify complex relationships between omics associated with a disease phenotype, such as lung function. SmCCNet uses two sets of omics datasets and an associated output phenotypes to generate a multi-omics graph, which can then be used to explore relationships between omics in the context of a disease. Detecting significant subgraphs within this multi-omics network, i.e., subgraphs which exhibit high correlation to a disease phenotype and high inter-connectivity, can help clinicians identify complex biological relationships involved in disease progression. The current approach to identifying significant subgraphs relies on hierarchical clustering, which can be used to inform clinicians about important pathways involved in the disease or phenotype of interest. The reliance on a hierarchical clustering approach can hinder subgraph quality by biasing toward finding more compact subgraphs and removing larger significant subgraphs. This study aims to introduce new significant subgraph detection techniques. In particular, we introduce two subgraph detection methods, dubbed Correlated PageRank and Correlated Louvain, by extending the Personalized PageRank Clustering and Louvain algorithms, as well as a hybrid approach combining the two proposed methods, and compare them to the hierarchical method currently in use. The proposed methods show significant improvement in the quality of the subgraphs produced when compared to the current state of the art.

Life-Space Mobility in the Elderly: Current Perspectives

Life-space mobility (LSM) is a concept for assessing patterns of functional mobility over time. LSM is gaining traction in the research of geriatric population health. Several instruments have been developed to measure LSM, such as the University of Alabama at Birmingham Life-Space Assessment (LSA) or the Nursing Home Life-Space Diameter instrument. There has been exponential growth in the use of instruments measuring LSM in studies of older adults since the concept was introduced in 1985. In response to the increased volume of publications with clinical applicability to those working in geriatric health or conducting population-based research in older adults, we conducted a narrative review: a) to provide a summary of the articles that have assessed validation of the University of Alabama at Birmingham LSA instrument, the most widely used instrument to assess LSM in older adults; and b) to provide a summary of the research articles that have examined LSM as independent or outcome variable. Studies for this review were obtained with an organized search format and were included if they were published in the past 20 years, written in English, published in peer-reviewed literature, and included LSM as an independent or outcome variable. Seventy-nine articles were identified: 36 that employed a cross-sectional design and 22 that employed a longitudinal/prospective design to examine LSM as outcome variable; 17 longitudinal/prospective design articles that examined LSM as primary independent variable; 3 review articles; and 1 systematic review. Areas of research included physical function, cognitive function, sensory impairment, mental health, falls, frailty, comorbidities, healthcare use, mortality, and social/environmental factors. These studies showed that LSM instruments can accurately predict morbidity, mortality, and healthcare use.

Identifying Protein-metabolite Networks Associated with COPD Phenotypes

Chronic obstructive pulmonary disease (COPD) is a disease in which airflow obstruction in the lung makes it difficult for patients to breathe. Although COPD occurs predominantly in smokers, there are still deficits in our understanding of the additional risk factors in smokers. To gain a deeper understanding of the COPD molecular signatures, we used Sparse Multiple Canonical Correlation Network (SmCCNet), a recently developed tool that uses sparse multiple canonical correlation analysis, to integrate proteomic and metabolomic data from the blood of 1008 participants of the COPDGene study to identify novel protein-metabolite networks associated with lung function and emphysema. Our aim was to integrate -omic data through SmCCNet to build interpretable networks that could assist in the discovery of novel biomarkers that may have been overlooked in alternative biomarker discovery methods. We found a protein-metabolite network consisting of 13 proteins and 7 metabolites which had a -0.34 correlation (p-value = 2.5 × 10^-28) to lung function. We also found a network of 13 proteins and 10 metabolites that had a -0.27 correlation (p-value = 2.6 × 10^-17) to percent emphysema. Protein-metabolite networks can provide additional information on the progression of COPD that complements single biomarker or single -omic analyses.

Activities of Daily Living and Life-Space Mobility in Older Adults with Chronic Obstructive Pulmonary Disease

Purpose

The aim of this study was to investigate whether limitation during the performance of activities of daily living (ADL) was associated with life-space mobility in older people with chronic obstructive pulmonary disease (COPD), and to generate a regression model for life-space mobility score.

Patients and Methods

This cross-sectional study with a convenience sample included older people (aged ≥60 years old) with COPD. We assessed participants’ lung function (spirometry), life-space mobility (University of Alabama at Birmingham Study of Aging Life-Space Assessment questionnaire), severity of dyspnea (Modified Dyspnea Index) and limitation during the performance of ADL (London Chest Activity of Daily Living). We used Pearson’s correlation to investigate the associations between the measures, and multiple linear regression to detect which of the measures influenced life-space mobility. Statistical significance was set at 5%.

Results

Fifty participants completed all the assessments (29 females [58%]; mean ± SD age of 67 ± 6 years old, FEV₁ 47 ± 29% of predicted, and body mass index 22.5 ± 11.6 kg/m²). Their mean scores for life-space mobility and for limitation during the performance of ADL were 49.7 ± 27.2 and 16.46 ± 9.74, respectively. We found a strong inverse correlation between limitation during the performance of ADL and life-space mobility (r = −0.57, p = <0.01) as well as between severity of dyspnea and life-space mobility (r= 0.86, p= <0.01). Both sex and limitation during the performance of ADL were considered as independent factors associated to life-space mobility (R²= 0.56).

Conclusion

In this study, limitations during the performance of ADL and dyspnea had a strong correlation with life-space mobility in older adults with COPD. Also, alongside sex, the limitation during the performance of ADL is an independent factor associated with life-space mobility in a regression model.

Handgrip Strength and Pulmonary Disease in the Elderly: What is the Link?

Societies in developed countries are aging at an unprecedented rate. Considering that aging is the most significant risk factor for many chronic lung diseases (CLDs), understanding this process may facilitate the development of new interventionist approaches. Skeletal muscle dysfunction is a serious problem in older adults with CLDs, reducing their quality of life and survival. In this study, we reviewed the possible links between handgrip strength (HGS)—a simple, noninvasive, low-cost measure of muscle function—and CLDs in the elderly. Different mechanisms appear to be involved in this association, including systemic inflammation, chronic hypoxemia, physical inactivity, malnutrition, and corticosteroid use. Respiratory and peripheral myopathy, associated with muscle atrophy and a shift in muscle fiber type, also seem to be major etiological contributors to CLDs. Moreover, sarcopenic obesity, which occurs in older adults with CLDs, impairs common inflammatory pathways that can potentiate each other and further accelerate the functional decline of HGS. Our findings support the concept that the systemic effects of CLDs may be determined by HGS, and HGS is a relevant measurement that should be considered in the clinical assessment of the elderly with CLDs. These reasons make HGS a useful practical tool for indirectly evaluating functional status in the elderly. At present, early muscle reconditioning and optimal nutrition appear to be the most effective approaches to reduce the impact of CLDs and low muscle strength on the quality of life of these individuals. Nonetheless, larger in-depth studies are needed to evaluate the link between HGS and CLDs.

Assessing life-space mobility for a more holistic view on wellbeing in geriatric research and clinical practice

Life-space mobility (LSM) is a holistic measure of resilience to physical decline and social isolation in later life. To promote its use as an outcome in geriatric studies and in clinical practice, this review paper explains the concept of LSM; outlines available questionnaires for LSM assessment, provides an overview of associations between LSM and other outcomes, and discusses emerging methods to measure LSM using wearable sensors. Based on performed activity around a central geographical anchor, LSM aims to quantify the observed contraction of daily activities associated with ageing. Several questionnaires are available to assess LSM in different contexts: the University of Alabama Life-Space Assessment and the Life-Space Questionnaire (community settings), the Nursing Home Life-Space Diameter (nursing home settings) and Life Space at Home (for house-bound populations). Some studies using GPS trackers to calculate life-space parameters reported promising results. Although these techniques reduce data collection burden, battery life and older people’s willingness to wear a tracker require further improvement before they can be used more widely. Regardless of the assessment method used, LSM was associated with measures of functional and cognitive abilities, nursing home admission and mortality. The current availability of instruments, the ongoing development of less burdensome data collection techniques, and evidence of construct validity support a case for promoting integration of LSM assessments into geriatric research studies and clinical practice. Ultimately, this will provide a more holistic view on older people’s health and wellbeing.

Life-Space mobility and clinical outcomes in COPD

Background

Social isolation is a common experience in patients with COPD but is not captured by existing patient-reported outcomes, and its association with clinical outcomes is unknown.

Methods

We prospectively enrolled adults with stable COPD who completed the University of Alabama at Birmingham Life Space Assessment (LSA) (range: 0–120, restricted Life-Space mobility: ≤60 and a marker of social isolation in older adults); six-minute walk test (6MWT), and the University of California at San Diego Shortness of Breath Questionnaire, COPD Assessment Test, and Hospital Anxiety and Depression Scale. The occurrence of severe exacerbations (emergency room visit or hospitalization) was recorded by review of the electronic record up to 1 year after enrollment. We determined associations between Life-Space mobility and clinical outcomes using regression analyses.

Results

Fifty subjects had a mean ± SD %-predicted FEV₁ of 42.9±15.5, and 23 (46%) had restricted Life-Space mobility. After adjusting for age, gender, %-predicted FEV₁, comorbidity count, inhaled corticosteroid/long-acting beta₂-agonist use, and prior cardiopulmonary rehabilitation, subjects with restricted Life-Space had an increased risk for severe exacerbations (adjusted incidence rate ratio 4.65, 95% CI 1.19–18.23, P=0.03). LSA scores were associated with 6MWD (R=0.50, P<0.001), dyspnea (R=−0.58, P<0.001), quality of life (R=−0.34, P=0.02), and depressive symptoms (R=−0.39, P=0.005).

Conclusion

Restricted Life-Space mobility predicts severe exacerbations and is associated with reduced exercise tolerance, more severe dyspnea, reduced quality of life, and greater depressive symptoms.

A study of measurement properties of the Life-Space Assessment questionnaire in older adults with chronic obstructive pulmonary disease

OBJECTIVE

To test the measurement properties (reliability, interpretability, and validity) of the Life-Space Assessment questionnaire for older adults with chronic obstructive pulmonary disease.

DESIGN

Clinimetric study.

SETTING

Pneumology service, ambulatory care, São Paulo, SP, Brazil.

PARTICIPANTS

Consecutive sample of older adults ( n = 62; 38 (61%) men, 24 (39%) women) with chronic obstructive pulmonary disease.

INTERVENTIONS

Not applicable.

MAIN OUTCOME MEASURES

Life-Space Assessment questionnaire assesses five space levels visited by the older adult in four weeks prior to the assessment. We tested the following measurement properties of this questionnaire: reliability (reproducibility assessed by a type-2,1 intraclass correlation coefficient (ICC_2,1); internal consistency assessed by the Cronbach's alpha; measurement error by determining the standard error of measurement (SEM)), interpretability (minimum detectable change with 90% confidence (MDC₉₀); ceiling and floor effects by calculating the proportion of participants who achieved the minimum and maximum scores), and validity by Pearson's correlation test between the Life-Space Assessment questionnaire scores and number of daily steps assessed by accelerometry.

RESULTS

Reproducibility (ICC_2,1) was 0.90 (95% confidence interval (CI): 0.84-0.94), and internal consistency (Cronbach's α) was 0.80 (range = 0.76-0.80 for each item deleted). SEM was 3.65 points (3%), the MDC₉₀ was 0.20 points, and we observed no ceiling (2%) or floor (6%) effects. We observed an association between the score of the Life-Space Assessment questionnaire and daily steps ( r = 0.43; P = 0.01).

CONCLUSION

Life-Space Assessment questionnaire shows adequate measurement properties for the assessment of life-space mobility in older adults with chronic obstructive pulmonary disease.