Walking Speed: A Summary Indicator of Frailty?

NAFLD Associates with Sarcopenia Defined by Muscle Mass and Slow Walking Speed: A Cross-Sectional Analysis from the Framingham Heart Study

Sarcopenia is associated with NAFLD. It is unknown if the association is explained by shared risk factors. Our study sought to investigate the association between liver fat and sarcopenia in our cohort. Liver fat was measured on CT between 2008 and 2011. We excluded heavy alcohol use and missing covariates. Muscle mass in a subset (n = 485) was measured by 24 h urinary creatinine. Physical function was defined by h strength and walking speed. Sarcopenia was defined as low muscle mass and/or low physical function. We created multivariable-adjusted regression models to evaluate cross-sectional associations between liver fat and low muscle mass, grip strength, and walking speed. The prevalence of hepatic steatosis was 30% (n = 1073; 58.1% women; mean age 65.8 ± 8.6 years). There was a significant positive association between liver fat and muscle mass in linear regression models. The association was not significant after adjusting for BMI. The odds of sarcopenia increased by 28% for each SD in liver fat (OR 1.28; 95% CI 1.02, 1.60) and persisted after accounting for confounders in multivariable-adjusted models (OR 1.30, 95% CI 1.02, 1.67). Further studies are needed to determine if there is a causal relationship between liver fat and sarcopenia and whether treatment of sarcopenia improves liver fat.

Association between walking speed and calcaneus stiffness index in older adults

INTRODUCTION

The aim here is to examine the association between objectively measured usual walking speed (UWS) and bone status in community-dwelling older Chinese.

MATERIALS AND METHODS

This is a cross-sectional study of a population of 1528 adults (817 females, mean age 68.5 ± 5.3; 711 males, mean age 69.1 ± 5.2) aged 60-79, living in communities in Shanghai. Walking speed was assessed using a 4-m walk test at a usual-pace walking speed a walking speed at which the subject felt relaxed-and bone status measured by quantitative ultrasound (QUS). The health-related characteristics of participants include family background, physical activity level, chronic disease, smoking and alcohol consumption, frequency of falls, vitamin intake, and hormone therapy.

RESULTS

Multiple linear regression is used to analyses any association between UWS and bone status, adjusting for confounding factors showing a significant association between faster UWS and a higher calcaneal stiffness index (SI) (p < 0.01). Comparing the lowest quartile of the data set with the highest at UWS, a high SI is achieved with 5.34 (95% CI = 3.22, 7.46) (p < 0.01), after adjusting for confounders. An increase of 1 dm/s was associated with a 0.91 (95% CI = 0.53, 1.29) increase in SI. This relationship for most subgroups is consistent.

CONCLUSION

Our findings suggest that UWS can be a sensitive indicator of calcaneal bone loss among an older population.

Importance analysis of psychosociological variables in frailty syndrome in heart failure patients using machine learning approach

The prevention and diagnosis of frailty syndrome (FS) in cardiac patients requires innovative systems to support medical personnel, patient adherence, and self-care behavior. To do so, modern medicine uses a supervised machine learning approach (ML) to study the psychosocial domains of frailty in cardiac patients with heart failure (HF). This study aimed to determine the absolute and relative diagnostic importance of the individual components of the Tilburg Frailty Indicator (TFI) questionnaire in patients with HF. An exploratory analysis was performed using machine learning algorithms and the permutation method to determine the absolute importance of frailty components in HF. Based on the TFI data, which contain physical and psychosocial components, machine learning models were built based on three algorithms: a decision tree, a random decision forest, and the AdaBoost Models classifier. The absolute weights were used to make pairwise comparisons between the variables and obtain relative diagnostic importance. The analysis of HF patients' responses showed that the psychological variable TFI20 diagnosing low mood was more diagnostically important than the variables from the physical domain: lack of strength in the hands and physical fatigue. The psychological variable TFI21 linked with agitation and irritability was diagnostically more important than all three physical variables considered: walking difficulties, lack of hand strength, and physical fatigue. In the case of the two remaining variables from the psychological domain (TFI19, TFI22), and for all variables from the social domain, the results do not allow for the rejection of the null hypothesis. From a long-term perspective, the ML based frailty approach can support healthcare professionals, including psychologists and social workers, in drawing their attention to the non-physical origins of HF.

CANOPTIPHYS study protocol: Optimising PHYSical function before CANcer surgery: effects of pre-operative optimisation on complications and physical function after gastrointestinal cancer surgery in older people at risk-a multicentre, randomised, parallel-group study

BACKGROUND

This multicentre study explores the effects of pre-operative exercise on physical fitness, post-operative complications, recovery, and health-related quality of life in older individuals with low pre-operative physical capacity scheduled to undergo surgery for colorectal cancer. We hypothesise that this group of patients benefit from pre-operative exercise in terms of improved pre-operative physical function and lower rates of post-operative complications after surgery compared to usual care. Standardised cancer pathways in Sweden dictate a timeframe of 14-28 days from suspicion of cancer to surgery for colorectal cancer. Therefore, an exercise programme aimed to enhance physical function in the limited timeframe requires a high-intensity and high-frequency approach.

METHODS

Participants will be included from four sites in Stockholm, Sweden. A total of 160 participants will be randomly assigned to intervention or control conditions. Simple randomisation (permuted block randomisation) is applied with a 1:1 allocation ratio. The intervention group will perform home-based exercises (inspiratory muscle training, aerobic exercises, and strength exercises) supervised by a physiotherapist (PT) for a minimum of 6 sessions in the pre-operative period, complemented with unsupervised exercise sessions in between PT visits. The control group will receive usual care with the addition of advice on health-enhancing physical activity. The physical activity behaviour in both groups will be monitored using an activity monitor. The primary outcomes are (1) change in physical performance (6-min walking distance) in the pre-operative period and (2) post-operative complications 30 days after surgery (based on Clavien-Dindo surgical score).

DISCUSSION

If patients achieve functional benefits by exercise in the short period before surgery, this supports the implementation of exercise training as a clinical routine. If such benefits translate into lower complication rates and better post-operative recovery or health-related quality of life is not known but would further strengthen the case for pre-operative optimisation in colorectal cancer.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04878185. Registered on 7 May 2021. https://clinicaltrials.gov/ct2/home.

Predictors of incident reversible and potentially reversible cognitive frailty among Taiwanese older adults

BACKGROUND

Few studies emphasize on predictors of incident cognitive frailty (CF) and examine relationships between various gait characteristics and CF. Therefore, we conducted a 2-year prospective study to investigate potential predictors, including gait characteristics, of incident reversible CF (RCF) and potentially RCF (PRCF) among Taiwanese older adults.

METHODS

Eligible participants were individuals aged ≥ 65 years, who could ambulate independently, and did not have RCF/PRCF at the baseline. The baseline assessment collected information on physical frailty and cognitive measures, in addition to sociodemographic and lifestyle characteristics, preexisting comorbidities and medications, gait characteristics, Tinetti's balance, balance confidence as assessed by Activities-specific Balance Confidence (ABC) scale, and the depressive status as assessed by the Geriatric Depression Scale. The Mini-Mental State Examination (MMSE), Mattis Dementia Rating Scale, and Digit Symbol Substitution Test were used to evaluate cognitive functions. Incident RCF and PRCF were ascertained at a 2-year follow-up assessment.

RESULTS

Results of the multinomial logistic regression analysis showed that incident RCF was significantly associated with older age (odds ratio [OR] = 1.05) and lower ABC scores (OR = 0.97). Furthermore, incident PRCF was significantly associated with older age (OR = 1.07), lower ABC scores (OR = 0.96), the presence of depression (OR = 3.61), lower MMSE scores (OR = 0.83), slower gait velocity (OR = 0.97), and greater double-support time variability (OR = 1.09).

CONCLUSIONS

Incident RCF was independently associated with older age and lower balance confidence while incident PRCF independently associated with older age, reduced global cognition, the presence of depression, slower gait velocity, and greater double-support time variability. Balance confidence was the only modifiable factor associated with both incident RCF and PRCF.

Treating Hypertension in Older Adults in Light of the Recent STEP Trial: Can We Implement the Findings in Geriatric Practice?

Recently, major trials have explored blood pressure targets that would provide greater benefit and fewer adverse events in older adult population on antihypertensive treatment. The last study was the STEP study conducted in China, which included 8511 older people aged 60-80 years. When systolic blood pressure below 130 mmHg was targeted in older individuals, there was a 26% risk reduction in cardiovascular outcomes compared with higher (< 150 mmHg) blood pressure values. At this point, it is necessary to evaluate how much the study group represents the older population because this population group is very heterogeneous, and it is not possible to apply a single treatment strategy to all older people. In this context, when we examined the baseline characteristics of the study group, we saw that the individuals included in the study consisted mostly of young-older people with less accompanying comorbidities. In addition, vulnerable groups, such as those with dementia and nursing home residents who are susceptible to treatment adverse effects, appeared to be excluded from the study. Therefore, this trial is very important as it concludes that the goal of strict blood pressure control is beneficial in fit older individuals, but does not guide treatment strategy for other groups. When planning treatments in older adults, it is essential to consider the biological age of individuals and to determine a strategy by evaluating frailty, functionality and cognitive status. As stated in the STEP study protocol, additional analyses considering frailty and cognitive performance will aid in a healthier interpretation of the study in the future.

Associations between HIV infection and frailty status and its individual components: Are frailty components disproportionally affected?

OBJECTIVE

We aimed to examine whether HIV infection was independently associated with frailty status and its individual components.

METHODS

This cross-sectional investigation included people living with HIV (PLWH) and HIV-negative individuals from the baseline survey of the Comparative HIV and Aging Research in Taizhou (CHART) cohort, China. Frailty phenotype was based on five components: weight loss, low physical activity, exhaustion, weak grip strength and slow gait speed. Frailty was defined as the presence of at least three components, and prefrailty was defined as one or two components. Logistic regression models were used to analyse the factors associated with frailty and its components.

RESULTS

In all, 2475 people living with HIV (age 45.5 ± 14.9 years; 76.2% male) and 4948 HIV-negative individuals (age 45.5 ± 14.8 years; 76.3% male) were included. Among PLWH, median CD4 count was 395 cells/μL and 78% were currently on antiretroviral therapy (ART). Frailty and prefrailty were significantly more prevalent in PLWH (3.2% vs 1.9% and 32.9% vs 27.9%) overall and at ages 18-39 (1.4% vs 0.2% and 22.7% vs 19.0%), 40-59 (2.5% vs 0.9% and 30.9% vs 27.9%) and 60-90 years (8.4% vs 7.4% and 57.1% vs 45.8%). HIV infection was associated with frailty and prefrailty [adjusted odds ratio (aOR) = 1.48, 95% confidence interval (CI): 1.06-2.08; and aOR = 1.18, 95% CI: 1.05-1.33, respectively] after adjusting for confounding variables, but were strengthened with further adjustment for multimorbidity (aOR = 1.62, 95% CI: 1.14-2.28; and aOR = 1.22, 95% CI: 1.09-1.37), and were no longer significant with further adjustment for depressive symptoms and sleep disorders (aOR = 1.02, 95% CI: 0.71-1.46; and aOR = 1.06, 95% CI: 0.94-1.20). Among individual components, HIV infection was positively associated with weak grip strength and slow gait speed, but negatively associated with low physical activity and exhaustion in all the adjusted models described.

CONCLUSIONS

Frailty and prefrailty occur more often and earlier in PLWH. However, grip strength and gait speed are affected to a greater extent, highlighting their potential as screening and intervention targets to prevent or slow frailty among PLWH.

Machine learning models for identifying pre-frailty in community dwelling older adults

Background

There is increasing evidence that pre-frailty manifests as early as middle age. Understanding the factors contributing to an early trajectory from good health to pre-frailty in middle aged and older adults is needed to inform timely preventive primary care interventions to mitigate early decline and future frailty.

Methods

A cohort of 656 independent community dwelling adults, aged 40–75 years, living in South Australia, undertook a comprehensive health assessment as part of the Inspiring Health cross-sectional observational study. Secondary analysis was completed using machine learning models to identify factors common amongst participants identified as not frail or pre-frail using the Clinical Frailty Scale (CFS) and Fried Frailty Phenotype (FFP). A correlation-based feature selection was used to identify factors associated with pre-frailty classification. Four machine learning models were used to derive the prediction models for classification of not frail and pre-frail. The class discrimination capability of the machine learning algorithms was evaluated using area under the receiver operating characteristic curve (AUC), sensitivity, specificity, precision, F1-score and accuracy.

Results

Two stages of feature selection were performed. The first stage included 78 physiologic, anthropometric, environmental, social and lifestyle variables. A follow-up analysis with a narrower set of 63 variables was then conducted with physiologic factors associated with the FFP associated features removed, to uncover indirect indicators connected with pre-frailty. In addition to the expected physiologic measures, a range of anthropometric, environmental, social and lifestyle variables were found to be associated with pre-frailty outcomes for the cohort. With FFP variables removed, machine learning (ML) models found higher BMI and lower muscle mass, poorer grip strength and balance, higher levels of distress, poor quality sleep, shortness of breath and incontinence were associated with being classified as pre-frail. The machine learning models achieved an AUC score up to 0.817 and 0.722 for FFP and CFS respectively for predicting pre-frailty. With feature selection, the performance of ML models improved by up to + 7.4% for FFP and up to + 7.9% for CFS.

Conclusions

The results of this study indicate that machine learning methods are well suited for predicting pre-frailty and indicate a range of factors that may be useful to include in targeted health assessments to identify pre-frailty in middle aged and older adults.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-022-03475-9.

Screening accuracy of percentage predicted gait speed for prefrailty/frailty in community-dwelling older adults

AIM

In order to account for the variability in gait speed due to demographic factors, an observed gait speed value can be compared with its predicted value based on age, sex, and body height (observed gait speed divided by predicted gait speed, termed "GS%predicted" henceforth). This study aimed to examine the screening accuracy of an optimal GS%predicted threshold for prefrailty/frailty.

METHODS

This cross-sectional study included 998 community-dwelling ambulant participants aged >50 years (mean age = 68 years). Participants completed a multi-domain geriatric screen and a physical fitness assessment, from which the 10-m habitual gait speed, GS%predicted, Physical Frailty Phenotype (PFP) index, and 36-item Frailty Index (FI) were computed.

RESULTS

Based on the FI, ~49% of participants had pre-frailty or frailty. The optimal threshold of GS%predicted (0.93) had greater screening accuracy than the 1.0 m/s fixed threshold for gait speed (AUC, 0.65 vs. 0.60; DeLong's P < 0.001). Replacing gait speed with GS%predicted in the PFP improved its overall discrimination (AUC, 0.70 vs. 0.67 of original PFP; DeLong's P < 0.001).

CONCLUSIONS

Defining a "slow" gait speed by a GS%predicted value of <0.93 provided greater screening accuracy than the traditional 1.0 m/s threshold for gait speed. Our results also support the use of GS%predicted-derived PFP to identify older adults at risk of prefrailty/frailty. Geriatr Gerontol Int 2022; ••: ••-••.

Association of immunity markers with the risk of incident frailty: the Rugao longitudinal aging study

BACKGROUND

The neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and systemic immune-inflammation index (SII) are readily available circulatory immunity markers that are associated with components of frailty. However, few studies have investigated the relationship between these immunity markers and frailty, and it remains unknown whether they are predictive of incident frailty in older adults in general. Hence, we aimed to examine the association of these immunity markers with the risk of incident frailty.

RESULTS

Overall, 1822 older adults (mean age was 78.03 ± 4.46 years) were included in the Rugao Longitudinal Aging Study. NLR, PLR and SII were calculated from blood cell counts. The frailty definition was based on the Fried phenotype. At baseline, 200 (10.98%) individuals were defined as frailty, and no significant associations of NLR, PLR and SII with frailty were found. During the 2-year follow-up, 180 (15.67%) individuals were new-onset frailty. After adjustment, an increased logNLR (odds ratio [OR] 2.92, 95% confidence interval [CI] 1.20-7.18), logPLR (OR 2.54, 95% CI: 1.01-6.53) and logSII (OR 2.34, 95% CI: 1.16-4.78) were significantly associated with a higher risk of incident frailty in all individuals. Additionally, the associations of logNLR (OR 4.21, 95% CI 1.54-11.62 logPLR (OR 3.38, 95% CI: 1.17-9.91) and logSII (OR 2.56, 95% CI: 1.15-5.72) with incident frailty were remained after excluding individuals with comorbidities. In further analyzed, individuals with higher levels of NLR and SII had higher risk of incident frailty when we stratified individuals by quartiles of these immunity markers.

CONCLUSION

NLR and SII are easily obtained immunity markers that could be used to predict incident frailty in clinical practice.

Walking Speed and Mortality: An Updated Systematic Review

OBJECTIVE

The aim of our systematic review was to update the current evidence on the association between slow walking speed (WS) and mortality, expanding the current knowledge available in the literature.

METHODS

A systematic review of the published data on the association of WS and mortality was carried out by searching on PubMed and ISI Web of Knowledge databases.

RESULTS

From a title and abstract analysis, 61 articles were included that met the prespecified criteria. After a full-text analysis, 6 articles were excluded and the remaining articles accounted for 120,838 patients and > 25,148 deaths were registered. The duration of follow-ups ranged between 2 and 21 years. In general, studies have shown a consistent association between WS and mortality from all causes.

CONCLUSIONS

WS showed continuous and consistent evidence to be a good predictor of mortality. As such, our study supports the use of this tool in clinical practice as a way to improve health care.

Mobility and muscle strength trajectories in old age: the beneficial effect of Mediterranean diet in combination with physical activity and social support

INTRODUCTION

Decline in physical function varies substantially across older individuals due to several extrinsic modifiable factors such as dietary patterns, physical activity and social support. We aimed to determine the association of these factors and their interaction with mobility and muscle strength decline.

METHODS

We analyzed data from 1686 functionally healthy individuals aged 60 + from the population-based Swedish National study on Aging and Care in Kungsholmen (SNAC-K). The Mediterranean Diet Score (MDS) was calculated based on a validated food frequency questionnaire. Self-reported physical activity was categorized based on current recommendations, and social support was measured according to participants' perceived material and psychological support from relatives and friends. Participants' physical function was assessed over 12 years through changes in walking speed (m/s) and chair stand time (s). Linear mixed models adjusted for socio-demographic and clinical factors were used. In order to explore the combined effect of the different exposures, two indicator variables were created by cross-classifying individuals' levels of Mediterranean diet adherence and social support or physical activity.

RESULTS

Participants with a high adherence to Mediterranean diet were primarily < 78 years (82.3%), women (56.1%), married (61.1%), with university education (52.8%), high levels of social support (39.3%) and health-enhancing levels of physical activity (51.5%). A one-point increase in MDS (score range 0-9) was associated with less annual deterioration in walking speed (β*time[year] = 0.001; p = 0.024) and chair-stand time (β*time[year] = -0.014; p = 0.008). The potential protective effect of Mediterranean diet was highest among participants reporting high social support (β*time[year] = -0.065, p = 0.026 for chair stands) and high physical activity (β*time[year] = 0.010, p = 0.001 for walking speed), beyond the effect of each exposure individually.

CONCLUSION

A higher adherence to Mediterranean diet, especially in combination with recommended levels of physical activity and high social support, may contribute to delay the decline in physical function observed with aging.

Neutrophil-lymphocyte ratio as a predictor of slow gait speed in older adults: The Rugao Longitudinal Aging Study

BACKGROUND

Few studies have investigated the association of the neutrophil-to-lymphocyte ratio (NLR) with gait speed, but whether the NLR is predictive of slow gait speed in older adults remains unknown. The aim of this study is to examine the association of NLR levels with risk of slow gait speed development in older adults.

METHODS

Overall, 1753 participants (53.11% male, aged 60-92 years, with a mean age of 77.01 ± 4.27 years) from the second wave of the Rugao Longitudinal Aging Study were included. The second wave was recognized as the baseline in this study. Gait speed was measured using a 5-m walk test at baseline and at the 3.5-year follow-up. A slow gait speed was considered a walking speed less than 0.8 m/s. The NLR was calculated based on absolute blood neutrophil and lymphocyte counts. Logistic regression models were used to investigate the association between NLR levels and slow gait speed.

RESULTS

In the cross-sectional analysis, 394 individuals were identified as having slow gait speed. We found that increased NLR levels were associated with a higher risk of slow gait speed in older adults with and without comorbidities (P-value <0.05). During the 3.5-year follow-up period, 440 individuals had developed new-onset slowness. After confounding factors were controlled, increased NLR levels were significantly and independently associated with an increased risk of slow gait speed among older adults with (odds ratio [OR] 3.82, 95% confidence interval [CI] 1.87-7.89) and without (OR 3.29, 95% CI: 1.54-7.10) comorbidities.

CONCLUSION

The NLR is an inexpensive and easily obtainable inflammatory biomarker that robustly and independently predicts slow gait speed risk in older adults.

Stair climbing and mortality: a prospective cohort study from the UK Biobank

BACKGROUND

Regular stair climbing has the potential to lower the risk of premature death, but current evidence is scarce. We aimed to examine whether daily stair climbing is associated with lower risk of all-cause, cancer, and cardiovascular disease (CVD) mortality.

METHODS

Using the UK Biobank cohort, we extracted information of self-reported daily flights of stairs climbed at home, categorized as none, 1 to 5, 6 to 10, 11 to 15, and ≥16 flights per day. Associations between flights of stair climbed per day and mortality were examined as hazard ratios (HRs) from Cox proportional hazards models adjusted for demographic, clinical, and behavioural covariates including time spent in other physical activities. We calculated the restricted mean survival time as an absolute measure of association. The risk of residual confounding was examined using propensity score matching and by using lung cancer as negative control outcome. Participants were followed from baseline (2006-2010) through 31 March 2020.

RESULTS

A total of 280 423 participants (median follow-up 11.1 years, during which 9445 deaths occurred) were included. Compared with not climbing any stairs, climbing more than five flights of stairs at home per day was associated with lower risk of premature mortality. The lowest risk was found for those climbing 6-10 flights per day: 0.91; 95% confidence interval (CI): 0.85, 0.98, translated to approximately 44 to 55 days of additional survival. A similar pattern was found after applying propensity score matching and for cancer mortality (6-10 flights per day HR: 0.88; 95% CI: 0.80, 0.97), but not for CVD mortality (6-10 flights per day HR: 1.08; 95% CI: 0.91, 1.29). The association between stair climbing and lung cancer was similar to that of all-cause mortality.

CONCLUSIONS

Climbing more than five flights of stairs at home per day was associated with a lower risk of all-cause and cancer mortality, but not CVD mortality, compared with those who did not take the stairs. The magnitude of the association was small and appeared susceptible to residual confounding. It is unlikely that at-home stair climbing is sufficient physical activity stimuli to lower the risk of premature mortality.

Outdoor Walking Speeds of Apparently Healthy Adults: A Systematic Review and Meta-analysis

BACKGROUND

Walking outdoors can be used by many individuals to meet public health guidelines for moderate-to-vigorous-intensity physical activity. The speed at which adults walk may be a proxy for intensity. Traditional estimates of indoor walking speed are unlikely to reflect self-selected usual or other instructed paces of outdoor walking speed.

OBJECTIVE

To inform estimates of pace-based walking speed of apparently healthy adults in outdoor settings.

METHODS

We searched four electronic databases for articles published in English between January 1970 and March 2019. Studies that reported walking speed (m/s), cadence (steps/min), or intensity (mL/kg/min) of ambulatory, apparently healthy, and community-dwelling adults (> 18 years) were included. Walking speed categories were defined according to the description provided in each study. Meta-analysis was used to synthesise speed, cadence, and intensity data by slow, usual, medium, fast, and maximal pace (where reported).

RESULTS

Thirty-five studies, representing 14,015 participants (6808 women, 5135 men, and 2072 sex not specified), were identified. The mean (95% CI) walking speed for slow, usual, medium, fast, and maximal pace was 0.82 (0.77-0.86), 1.31 (1.27-1.35), 1.47 (1.44-1.49), 1.72 (1.64-1.81), and 1.62 (1.45-1.79) m/s, respectively. Mean cadence (95% CI) for usual and fast paces were 116.65 (114.95-118.35) and 126.75 (121.87-131.63) steps/min, respectively. The mean oxygen consumption (95% CI) for the usual and medium paces was 11.97 (11.69-12.25) and 13.34 (12.94-13.73) mL/kg/min, respectively.

CONCLUSION

These findings provide greater clarity with regard to how various indicators of enacted walking pace, speed, and intensity overlap and how each can be best communicated in the real-world setting to optimise health-related outcomes. Pace-based instructions can be used to support walking in outdoor settings within public health guidelines.

Walking Speed and Maximal Knee Flexion During Gait After Total Knee Arthroplasty: Minimal Clinically Important Improvement Is Not Determinable; Patient Acceptable Symptom State Is Potentially Useful

BACKGROUND

Total knee arthroplasty (TKA) is the operation of choice in patients with end-stage knee osteoarthritis (OA). Up to 1 in 5 patients still encounter functional limitations after TKA, partly explaining patient dissatisfaction. Which gait ability to target after TKA remains unclear. To determine whether Minimal Clinical Important Improvement (MCII) or Patient Acceptable Symptom State (PASS) values could be derived from gait parameters recorded in patients with TKA. And, if so, to define those values.

METHODS

In this ancillary study, we retrospectively analyzed gait parameters of patients scheduled for a unilateral TKA between 2011 and 2013. We investigated MCII and PASS values for walking speed and maximal knee flexion using anchor-based methods: 5 anchoring questions based on perceived body function and patients' satisfaction.

RESULTS

Over the study period, 79 patients performed a clinical gait analysis the week before and 1 year after surgery, and were included in the present study. All clinical and gait parameters improved 1 year after TKA. Nevertheless, changes in gait outcomes were not associated with perceived body function or patients' satisfaction, precluding any MCII estimation in gait parameters. PASS values, however, could be determined as 1.2 m/s for walking speed and 50° for maximal knee flexion.

CONCLUSION

In this study, we found that MCII and PASS values are not necessarily determinable for gait parameters after TKA in patients with end-stage OA. Using anchor questions based on perceived body function and patient's satisfaction, MCII could not be defined while PASS values were potentially useful.

LEVEL OF EVIDENCE

Level III.

Are frail elderly people in Europe high-need subjects? First evidence from the SPRINTT data

Physical frailty and sarcopenia (PF&S) has received growing attention in empirical models of health care use. However, few articles focused on objective measures of PF&S to assess the extent of care consumption among the frail population at risk of dependency. Using baseline data from the SPRINTT study, a sample of 1518 elderly people aged 70+ recruited in eleven European countries, we analyse the association between various PF&S measures and health care / long term care (LTC) use. Multiple health care and LTC outcomes are modelled using linear probability models adjusted for a range of individual characteristics and country fixed effects. We find that PF&S is associated with a significant increase in emergency admissions and hospitalizations, especially among low-income elders. All PF&S measures are significantly associated with increased use of formal and informal LTC. There is a moderating effect of income on LTC use: poor frail elders are more likely to use any of the formal LTC services than rich frail elders. Our results are robust to various statistical specifications. They suggest that the inclusion of PF&S in the eligibility criteria of public LTC allowances could contribute to decrease the economic gradient in care use among the elderly community-dwelling European population.

Characteristics of decline in cognition and locomotion among the elderly in seven provinces of China

BACKGROUND

Decline in cognition and in locomotion is associated with aging. However, the relationship between them and the current occurrence of them in Chinese elderly people was weak.

METHODS

To investigate the details of these two functions in Chinese elderly people and to try to find some early recognition and intervention clues, data of MMSE test and usual gait speed from 4487 elderly people from seven provinces in China were analysed.

RESULTS

The prevalence of mild cognitive impairment (MCI) and dementia in persons aged 60 and over was 17.83% and 4.08%, respectively. Among 11 items of MMSE, calculation, three-word recall, drawing two pentagons, and temporal orientation were the most commonly impaired items in persons with MCI or dementia. The gait speed of old persons with dementia was significantly slower than that of persons with MCI or NCI. Meanwhile, old persons with gait speed >1.39 m/s fast gait speed also had high MMSE scores and no dementia was detected by MMSE.

CONCLUSION

The prevalence of dementia observed in this population was similar to that reported 20 years ago. Loss of temporal orientation and drawing two pentagons may supply more information for early recognition of cognitive impairment. Maintaining locomotion in a proper way may help old persons to prevent cognitive function decline.

Impact of Frailty on Mortality and Hospitalization in Chronic Heart Failure: A Systematic Review and Meta-Analysis

Background

Although frailty has been associated with increased risks for hospitalization and mortality in chronic heart failure, the precise average effect remains uncertain. We performed a systematic review and meta‐analysis to summarize the hazards for mortality and incident hospitalization in patients with heart failure and frailty compared with those without frailty and explored the heterogeneity underlying the effect size estimates.

Methods and Results

MEDLINE, EMBASE, and Cochrane databases were queried for articles published between January 1966 and March 2018. Predefined selection criteria were used. Hazard ratios (HRs) were pooled for meta‐analyses, and where odds ratios were used previously, original data were recalculated for HR. Overlapping data were consolidated, and only unique data points were used. Study quality and bias were assessed. Eight studies were included for mortality (2645 patients), and 6 studies were included for incident hospitalization (2541 patients) during a median follow‐up of 1.82 and 1.12 years, respectively. Frailty was significantly associated with an increased hazard for mortality (HR, 1.54; 95% confidence interval, 1.34–1.75; P<0.001) and incident hospitalization (HR, 1.56; 95% confidence interval, 1.36–1.78; P<0.001) in chronic heart failure. The Fried phenotype estimated a 16.9% larger effect size than the combined Fried/non‐Fried frailty assessment for the end point of mortality (HR, 1.80; 95% confidence interval, 1.41–2.28; P<0.001), but not for hospitalization (HR, 1.57; 95% confidence interval, 1.30–1.89; P<0.001). Study heterogeneity was found to be low (I²=0%), and high quality of studies was verified by the Newcastle‐Ottawa scale.

Conclusions

Overall, the presence of frailty in chronic heart failure is associated with an increased hazard for death and hospitalization by ≈1.5‐fold.

Peak oxygen uptake, six-minute walk distance, six-meter walk speed, and pulse pressure as predictors of seven year all-cause and cardiovascular mortality in community-living older adults

Cardiorespiratory fitness and physical performance measures predict mortality. It is uncertain whether pulse pressure (PP), a measure that is routinely available in healthcare settings, may also predict mortality with a comparable degree of accuracy. In a study consisting of older adults (709 men and 467 women) living in the community, we examined the relationship between PP, peak oxygen uptake (VO2 peak), 6-minute walk distance (6MWD) and 6-meter walking speed (6MWS) and seven year all-cause and cardiovascular mortality. Receiver operator characteristic (ROC) curve was used to compare predictive performance. In the prediction of all-cause mortality, in men, 6MWD, 6MWS and PP all have comparable area under curve (AUC) values compared with VO2 peak: 0.736, 0.723, 0.736 and 0.734 respectively. Similar results were observed for women, although all the AUC values were slightly lower (corresponding values were 0.723, 0.713, 0.702 and 0.747 respectively). For cardiovascular mortality, the findings are similar although in men all AUC values were higher. We conclude that PP predicts 7 year all-cause and cardiovascular mortality in older adults with an accuracy similar to VO2 peak, 6MWD and 6MWS, although the association is less strong in women.

Gait speed associated factors in elderly subjects undergoing exams to obtain the driver's license

Objective

to analyze the factors associated with gait speed in elderly subjects undergoing physical and mental fitness tests to obtain a driver’s license.

Method

a cross-sectional quantitative study conducted in transit agencies. The probabilistic sample included 421 elderly (≥ 60 years old). The study was developed through application of questionnaires and tests that assess the frailty phenotype. For evaluating gait speed, the time spent by each participant to walk a 4.6 meter distance at normal pace on a flat surface was timed. Data were analyzed by using multiple linear regression and the stepwise method. The R statistical program version 3.4.0 was adopted.

Results

there was a significant association between gait speed and paid work (<0.0000), body mass index (<0.0000), Mini-Mental State Examination (=0.0366), physical frailty (pre-frail =0.0063 and non-frail <0.0000), age (<0.0000), sex (=0.0255), and manual grip strength (<0.0000).

Conclusion

elderly drivers who do not work, women of advanced age, high body mass index, low score in the Mini-Mental State Examination, low hand grip strength, and frail tend to decrease gait speed and should be a priority of interventions.

Physical frailty and gait speed in community elderly: a systematic review

OBJECTIVE

To identify the outcomes of studies on gait speed and its use as a marker of physical frailty in community elderly.

METHOD

Systematic review of the literature performed in the following databases: LILACS, SciELO, MEDLINE/PubMed, ScienceDirect, Scopus and ProQuest. The studies were evaluated by STROBE statement, and the PRISMA recommendations were adopted.

RESULTS

There were 6,303 studies, and 49 of them met the inclusion criteria. Of the total number of studies, 91.8% described the way of measuring gait speed. Of these, 28.6% used the distance of 4.6 meters, and 34.7% adopted values below 20% as cutoff points for reduced gait speed, procedures in accordance with the frailty phenotype. Regarding the outcomes, in 30.6% of studies, there was an association between gait speed and variables of disability, frailty, sedentary lifestyle, falls, muscular weakness, diseases, body fat, cognitive impairment, mortality, stress, lower life satisfaction, lower quality of life, napping duration, and poor performance in quantitative parameters of gait in community elderly.

CONCLUSION

The results reinforce the association between gait speed, physical frailty and health indicator variables in community elderly.

Implications of frailty screening in clinical practice

PURPOSE OF REVIEW

Many frailty screening instruments have been proposed due to the lack of consensus on a unified operational definition of frailty. This review reports on recent frailty screening tools in addition to revisiting the frailty concept.

RECENT FINDINGS

Although there are two representative frailty models, both have issues that prevent them from being implemented in clinical settings despite their remarkable advantages. Due to their different characteristics, these models are thought to be complementary rather than substitutive. The recent introduction of frailty identification into primary care and specific clinical settings has led to both a focus on its importance and the development of new screening methods.

SUMMARY

The phenotype model is rather faithfully based on biological change with aging, while the deficit model comprehensively captures risk of disability. Most of the current frailty screening tools are based on these models. Screening tools based on the former model primarily capture declines in physical functions, whereas screening tools based on the latter model involve questionnaires that examine functional impairments in multiple domains. Implementation of a model in a clinical setting depends on both the model characteristics and the clinical settings.