Systematic review and meta-analysis of prevalence, trajectories, and clinical outcomes for frailty in COPD

Identifying and Estimating Frailty Phenotypes by Vocal Biomarkers: Cross-Sectional Study

BACKGROUND

Researchers have developed a variety of indices to assess frailty. Recent research indicates that the human voice reflects frailty status. Frailty phenotypes are seldom discussed in the literature on the aging voice.

OBJECTIVE

This study aims to examine potential phenotypes of frail older adults and determine their correlation with vocal biomarkers.

METHODS

Participants aged ≥60 years who visited the geriatric outpatient clinic of a teaching hospital in central Taiwan between 2020 and 2021 were recruited. We identified 4 frailty phenotypes: energy-based frailty, sarcopenia-based frailty, hybrid-based frailty-energy, and hybrid-based frailty-sarcopenia. Participants were asked to pronounce a sustained vowel "/a/" for approximately 1 second. The speech signals were digitized and analyzed. Four voice parameters-the average number of zero crossings (A1), variations in local peaks and valleys (A2), variations in first and second formant frequencies (A3), and spectral energy ratio (A4)-were used for analyzing changes in voice. Logistic regression was used to elucidate the prediction model.

RESULTS

Among 277 older adults, an increase in A1 values was associated with a lower likelihood of energy-based frailty (odds ratio [OR] 0.81, 95% CI 0.68-0.96), whereas an increase in A2 values resulted in a higher likelihood of sarcopenia-based frailty (OR 1.34, 95% CI 1.18-1.52). Respondents with larger A3 and A4 values had a higher likelihood of hybrid-based frailty-sarcopenia (OR 1.03, 95% CI 1.002-1.06) and hybrid-based frailty-energy (OR 1.43, 95% CI 1.02-2.01), respectively.

CONCLUSIONS

Vocal biomarkers might be potentially useful in estimating frailty phenotypes. Clinicians can use 2 crucial acoustic parameters, namely A1 and A2, to diagnose a frailty phenotype that is associated with insufficient energy or reduced muscle function. The assessment of A3 and A4 involves a complex frailty phenotype.

Phase angle measured by bioelectrical impedance analysis in patients with chronic obstructive pulmonary disease: Associations with physical inactivity and frailty

BACKGROUND

Factors associated with early-stage frailty (pre-frailty) in patients with chronic obstructive pulmonary disease (COPD) remain unestablished. In addition to skeletal muscle quantity, skeletal muscle dysfunction can be estimated using an angular metric from bioelectrical impedance analyzer (BIA), termed the phase angle, that reflects cell membrane reactance representing the structural stability. This study examined whether the phase angle was more closely associated with pre-frailty compared with skeletal muscle quantity in patients with COPD.

METHODS

This cross-sectional analysis included stable smokers with and without COPD whose frailty status was assessed using the Japanese version of the Cardiovascular Health Study criteria. The phase angle and skeletal muscle index (SMI) were measured using BIA, and physical activity over one week was assessed using triaxial accelerometers.

RESULTS

A total of 159 patients were categorized into robust, pre-frail, and frail groups (n = 38, 92, and 29, respectively). The phase angle was significantly smaller in the pre-frail and frail groups than in the robust group after adjusting for age, sex, height, body mass index, smoking history, and lung function. In contrast, SMI did not differ between the robust and pre-frail groups. When combining the pre-frail and frail groups into a non-robust group, 4.8° was determined as the cutoff phase angle value to identify non-robust status. A phase angle <4.8° was associated with shorter durations of moderate-intensity physical activity but not with light physical activity.

CONCLUSIONS

A smaller phase angle was associated with pre-frailty and impaired moderate-intensity physical activity in smokers with and without COPD.

Comparison of two frailty definitions in women with systemic lupus erythematosus

OBJECTIVES

Frailty is a risk factor for adverse health in SLE. The Fried phenotype (FP) and the SLICC Frailty Index (SLICC-FI) are common frailty metrics reflecting distinct approaches to frailty assessment. We aimed to (1) compare frailty prevalence according to both metrics in women with SLE and describe differences between frail and non-frail participants using each method and (2) evaluate for cross-sectional associations between each metric and self-reported disability.

METHODS

Women aged 18-70 years with SLE were enrolled. FP and SLICC-FI were measured, and agreement calculated using a kappa statistic. Physician-reported disease activity and damage, Patient Reported Outcome Measurement Information System (PROMIS) computerized adaptive tests, and Valued Life Activities (VLA) self-reported disability were assessed. Differences between frail and non-frail participants were evaluated cross-sectionally, and the association of frailty with disability was determined for both metrics.

RESULTS

Of 67 participants, 17.9% (FP) and 26.9% (SLICC-FI) were frail according to each metric (kappa = 0.41, P < 0.01). Compared with non-frail women, frail women had greater disease damage, worse PROMIS scores, and greater disability (all P < 0.01 for FP and SLICC-FI). After age adjustment, frailty remained associated with a greater odds of disability [FP: odds ratio (OR) 4.7, 95% CI 1.2, 18.8; SLICC-FI: OR 4.6, 95% CI 1.3, 15.8].

CONCLUSION

Frailty is present in 17.9-26.9% of women with SLE. These metrics identified a similar, but non-identical group of women as frail. Further studies are needed to explore which metric is most informative in this population.

Association of Frailty with Patient-Report Outcomes and Major Clinical Determinants in Patients with Acute Exacerbation of Chronic Obstructive Pulmonary Disease

Purpose

This study aimed to explore the correlation of frailty status with disease characteristics and patient-reported outcomes (PROs) in patients with acute exacerbations of chronic obstructive pulmonary disease (AECOPD) and determine the sensitivity and specificity of modified COPD PRO scale (mCOPD-PRO) for detecting frailty.

Patients and Methods

This cross-sectional study surveyed 315 inpatients with AECOPD from a tertiary hospital in China from August 2022 to June 2023. Patient frailty and PROs were assessed using the validated FRAIL scale and mCOPD-PRO, respectively. Spearman's ρ was used to assess the relevance of lung disease indicators commonly used in clinical practice, and ordinal logistic regression analyses were used to identify the variables associated with frailty status. The validity of mCOPD-PRO in discriminating frail or non-frail individuals was determined using the receiver operating characteristic curve.

Results

The participants (N=302, mean age 72.4±9.1 years) were predominantly males (73.2%). Among them, 43 (14.3%) patients were not frail, whereas 123 (40.7%) and 136 (45.0%) patients were pre-frail and frail, respectively. The FRAIL scale was moderately correlated with the mCOPD-PRO scores (Spearman's rank correlation coefficient [Rs]=0.52, P<0.01) for all dimensions (Rs=0.43-0.49, P<0.01). Patients residing in rural areas (odds ratio [OR], 1.67; 95% confidence interval [95% CI], 1.01-2.76) and with higher mCOPD-PRO scores (OR, 4.78; 95% CI, 2.75-8.32) were more likely to be frail. Physically active patients (OR, 0.42; 95% CI, 0.21-0.84) were less likely to be frail. In addition, mCOPD-PRO had good discriminate validity for detecting frailty (area under the curve=0.78), with a sensitivity and specificity of 84.6% and 60.8%, respectively. The optimal probability threshold for mCOPD-PRO was ≥1.52 points.

Conclusion

In patients with AECOPD, frailty is closely related to PROs and disease characteristics. Additionally, the mCOPD-PRO score can distinguish well between frail and non-frail patients. Our findings provide support for interventions targeting frail populations with AECOPD.

Association between oxidative balance score and frailty in chronic obstructive pulmonary disease

Background

Oxidative stress is associated with frailty and adverse outcomes in chronic obstructive pulmonary disease (COPD). The oxidative balance score (OBS) assesses oxidative stress from diet and lifestyle, with higher OBS indicating more antioxidants than oxidants. A cross-sectional study was conducted to investigate the potential association between OBS and frailty in US adults with COPD.

Methods

A total of 1201 COPD subjects from the National Health and Nutrition Examination Survey (NHANES 1999-2018) were assessed for frailty using the Frailty Index. OBS, consisting of 20 dietary and lifestyle factors, was the exposure variable. Weighted multiple logistic regression, subgroup analysis, and restricted cubic spline curves were used to assess the association between OBS and frailty.

Results

Compared with the lowest OBS reference group (Q1), the adjusted odds ratios (ORs) for the highest quartile group (Q4) for OBS, dietary OBS, and lifestyle OBS were 0.41 (95% CI: 0.19-0.92), 0.37 (95% CI: 0.20-0.71), and 0.41 (95% CI: 0.24-0.71), respectively. All trend p-values were less than 0.05. Subgroup and RCS analyses revealed a negative linear association between OBS and frailty, with a significant reduction in frailty risk observed in women compared to men.

Conclusions

OBS was negatively associated with frailty in COPD. The higher the OBS, the lower the risk of frailty, especially in women. Identifying at-risk populations with OBS and through antioxidant diet and lifestyle are potential ways to reduce the prevalence of frailty.

The Long-Term Impact of Frailty After an Intensive Care Unit Admission Due to Chronic Obstructive Pulmonary Disease

Rationale

Frailty is an increasingly recognized aspect of chronic obstructive pulmonary disease (COPD). The impact of frailty on long-term survival after admission to an intensive care unit (ICU) due to an exacerbation of COPD has not been described.

Objective

The objective was to quantify the impact of frailty on time to death up to 4 years after admission to the ICU in Australia and New Zealand for an exacerbation of COPD.

Methods

We performed a multicenter retrospective cohort study of adult patients admitted to 179 ICUs with a primary diagnosis of an exacerbation of COPD using the Australian and New Zealand Intensive Care Society Adult Patient Database from January 1, 2018, through December 31, 2020, in New Zealand, and March 31, 2022, in Australia. Frailty was measured using the clinical frailty scale (CFS). The primary outcome was survival up to 4 years after ICU admission. The secondary outcome was readmission to the ICU due to an exacerbation of COPD.

Measurements and Main Results

We examined 7126 patients of which 3859 (54.1%) were frail (CFS scores of 5-8). Mortality in not-frail individuals versus frail individuals at 1 and 4 years was 19.8% versus 40.4%, and 56.8% versus 77.3% respectively (both p<0.001). Frailty was independently associated with a shorter time to death (adjusted hazard ratio 1.66; 95% confidence interval 1.54-1.80).There was no difference in the proportion of survivors with or without frailty who were readmitted to the ICU during a subsequent hospitalization.

Conclusions

Frailty was independently associated with poorer long-term survival in patients admitted to the ICU with an exacerbation of COPD.

Association of Prefrailty and Frailty With All-Cause Mortality, Acute Exacerbation, and Hospitalization in Patients With Chronic Obstructive Pulmonary Disease: A Meta-Analysis

OBJECTIVE

To evaluate the impact of prefrailty and frailty on all-cause mortality, acute exacerbation, and all-cause hospitalization in patients with chronic obstructive pulmonary disease (COPD).

DESIGN

Meta-analysis.

SETTING AND PARTICIPANTS

Two authors independently searched PubMed, Web of Science, and Embase databases until December 27, 2022，to identify studies that reported the predictive value of prefrailty and frailty in COPD patients.

MEASUREMENTS

All-cause mortality, acute exacerbation, and all-cause hospitalization.

RESULTS

Ten studies reporting on 11 articles enrolling 13,203 patients with COPD were included. The prevalence of frailty ranged from 6.0% to 51%. When compared with nonfrailty, the pooled adjusted hazard ratio (HR) of all-cause mortality was 1.48 (95% CI 0.92-2.40) for prefrailty and 2.64 (95% CI 1.74-4.02) for frailty, respectively. The pooled adjusted odds ratio (OR) of all-cause hospitalization was 1.35 (95% CI 1.05-1.74) for prefrailty and 1.65 (95% CI 1.05-2.61) for frailty. In addition, frailty significantly predicted all acute exacerbation (OR 2.20, 95% CI 1.26-3.81) but not moderate to severe acute exacerbation (OR 1.42, 95% CI 0.94-2.17) in patients with stable COPD. However, the pooled results of all-cause hospitalization were not reliable in leave-1-out sensitivity analyses.

CONCLUSIONS AND IMPLICATIONS

Frailty significantly predicts all-cause mortality in patients with COPD, even after adjustment for common confounding factors. Assessment of frail status in COPD patients may improve secondary prevention and allow early intervention. However, future studies are warranted to validate the impact of frailty defined by a standardized definition of frailty on acute exacerbation and all-cause hospitalization.

Frailty in asthma-COPD overlap: a cross-sectional study of association and risk factors in the NHANES database

BACKGROUND

Asthma-chronic obstructive pulmonary disease (COPD) overlap (ACO) is a condition characterised by the simultaneous presence of features of both asthma and COPD. The study aims to investigate the association between ACO and frailty among middle-aged and elderly populations, and identify the risk factors for frailty in individuals with ACO.

METHODS

We conducted a cross-sectional study with 34 403 eligible participants (aged ≥40 years) from the National Health and Nutrition Examination Survey 1999-2018 cycles. Participants were stratified into four groups: ACO, asthma, COPD and non-asthma/COPD. Frailty assessment was based on frailty index, generating frail and non-frail group. Univariate and multivariate survey-weighted logistic regression analysis were used to determine the association between ACO and frailty, and to identify the risk factors for frailty in ACO.

RESULTS

The frailty prevalence in participants with ACO was 60.2%, significantly higher than that in those with asthma (32.3%) and COPD (40.6%). In the unadjusted model, participants with ACO exhibited six-fold higher odds of frailty (OR 6.30, 95% CI 5.29 to 7.49), which was significantly greater than those with COPD (OR 2.84, 95% CI 2.46 to 3.28) and asthma (OR 1.99, 95% CI 1.80 to 2.18), using the non-asthma/COPD group as a reference. After adjusting for all confounders, participants with ACO had over four times higher odds of frailty (OR 4.48, 95% CI 3.53 to 5.71), still higher than those with asthma and COPD. The findings remained robust in sensitivity and subgroup analyses. Furthermore, hypertension, cancer, cardiovascular disease, chronic kidney disease and cognitive disorders were identified as risk factors for frailty among ACO participants, while higher income and education levels were protective factors.

CONCLUSION

Patients (aged ≥40 years) with ACO were at a higher risk of frailty, regardless of age or sex, compared with those with asthma or COPD alone. Greater attention should be paid to patients with ACO, regardless of their age.

Trends in prevalence and the effects on hospital outcomes of dementia in patients hospitalized with acute COPD exacerbation

AIMS

To assess changes in prevalence and the effects on hospital outcomes of dementia among patients hospitalized with an acute exacerbation of chronic obstructive pulmonary disease (AE-COPD); and to evaluate sex-differences, as well as the impact of COVID-19 pandemic in this relationship.

METHODS

We used a nationwide discharge database to select patients admitted with AE-COPD in Spain from 2011 to 2020. We identified those with any type of dementia, vascular dementia (VaD) or Alzheimer's disease (AD).

RESULTS

We identified 658,429 hospitalizations with AE-COPD (4.45% had any type of dementia, 0.79% VaD and 1.57% AD). The presence of any type of dementia remained stable from 2011 to 2015, and increased significantly between 2016 and 2020. For VaD, the time trend showed no change until 2020, when a significant increment was found. The probability of AD decreased significantly overtime. The in-hospital mortality (IHM) among patients with any type of dementia remained stable overtime until 2020, when it increased significantly. Older age, higher comorbidity, COVID-19, and use of mechanical ventilation were variables associated to IHM. Women had lower risk of dying in the hospital than men in all subgroups.

CONCLUSIONS

After a previous period of stability, the prevalence of any type of dementia increased over the last 5 years of the study, although we identified different trends depending on the specific cause of dementia. The IHM remained stable overtime until 2020, when it increased, probably related to the COVID-19 pandemic. It is remarkable the protective effect of female sex for IHM.