Influence of Frailty on Cognitive Decline: A Population-Based Cohort Study in Rural Ecuador

Cognitive performance and all-cause mortality in community dwellers of Amerindian ancestry living in rural Ecuador: A population-based, longitudinal prospective study

OBJECTIVE

There is limited information on mortality risk in individuals with cognitive impairment living in rural Latin America. In this study, we assess the association between cognitive impairment and all-cause mortality in adults of Amerindian ancestry living in rural Ecuador.

PATIENTS AND METHODS

Middle-aged and older adults enrolled in the population-based Three Villages Study cohort were followed prospectively in order to estimate mortality risk according to their baseline cognitive performance as determined by the Montreal Cognitive Assessment (MoCA). Results were adjusted for demographics, level of education, traditional cardiovascular risk factors, symptoms of depression, severe tooth loss, and oily fish intake (factors previously associated with mortality in the study population).

RESULTS

Analysis included 1022 individuals followed for an average of 7.8 ± 3.4 years. Mean MoCA score was 21.2 ± 5.4 points (median: 22 points), with 334 (32.7%) individuals showing cognitive impairment, as evidenced by a MoCA score ≤ 19 points (the cutoff for poor cognitive performance based on previous studies in the same population). A total of 150 (14.7%) individuals died during the follow-up. Crude mortality rate was 2.87 per 100 person-years (95% C.I.: 2.08 - 3.96). For individuals with normal cognition, the mortality rate was 1.21 (95% C.I.: 0.92 - 1.50) while for those with cognitive impairment the rate increased to 3.48 (95% C.I.: 2.73 - 4.23). A multivariate Cox-proportional hazards model, confirmed that individuals with cognitive impairment had a significantly higher mortality risk than those without cognitive impairment (HR: 1.52; 95% C.I.: 1.05 - 2.18).

CONCLUSIONS

Cognitive impairment is associated with mortality in the study population.

Subjective Cognitive Decline and Frailty Trajectories and Influencing Factors in Japanese Community-Dwelling Older Adults: A Longitudinal Study

We studied frailty and subjective cognitive decline (SCD) trajectories in older Japanese adults and evaluated the influence of various factors on these trajectories. We analyzed data from 1157 non-demented adults aged 70 and above from 2013 to 2019. Frailty was assessed using the self-administered Kihon Checklist (KCL), a Japanese frailty index. SCD was evaluated using the questionnaire of the Subjective Memory Complaints scale. Through group-based joint trajectory models, we discerned three frailty trajectories: non-progressive (n = 775), moderate progressive (n = 312), and rapid progressive (n = 70); and three SCD trajectories: non-progressive (n = 302), moderate progressive (n = 625), and rapid progressive (n = 230). Individuals in the rapid progressive SCD trajectory had a 32.2% probability of also being in the rapid progressive frailty trajectory. In contrast, those in the non-progressive SCD trajectory had zero probability of being in the rapid progressive frailty trajectory. Both the rapid progressive frailty and SCD groups combined had a higher incidence of depressive symptoms and slow gait speed. Our results have found that frailty and SCD share a similar trajectory in Japanese older adults. Additionally, rapid progressive frailty and SCD were associated with the highest risk of depressive symptoms and slow gait speed. Thus, interventions targeting both frailty and cognitive decline should prioritize mental health enhancement and gait speed improvement.

Impact of frailty, mild cognitive impairment and cognitive frailty on adverse health outcomes among community-dwelling older adults: A systematic review and meta-analysis

Aims

This study analyzes the impact of frailty, mild cognitive impairment, and cognitive frailty on adverse outcomes in community-dwelling older adults.

Methods

This systematic review and meta-analysis were conducted using the PRISMA guidelines and MOOSE statement. We developed a specific search strategy for each electronic database and searched PubMed, Web of Science, MEDLINE, and Embase from initial records to July 2021. The studies on adverse outcomes of frailty, pre-frailty, mild cognitive impairment, and mild cognitive impairment with pre-frailty and cognitive frailty were included. Two researchers independently extracted data based on a spreadsheet and assessed the risk of bias. The primary outcomes were mortality, dementia, disability, and hospitalization. The second outcome included quality of life and falls. All analysis was conducted by using Review Manager (RevMan) 5.3 software.

Results

A total of 22 cohort studies (71,544 older adults with mean age ranging from 65.1 to 93.6 years) were included with a low risk of bias and high methodological quality with a NOS score ≥7. Compared to robust elders, individuals identified as frailty were associated with a higher risk of mortality (RR = 2.11, 95% CI: 1.57–2.83) and disability (RR = 5.91, 95% CI: 2.37–14.74). Mild cognitive impairment with pre-frailty was associated with mortality (RR = 1.74, 95% CI: 1.48–2.05) and dementia (RR = 4.15, 95% CI: 1.87–9.20). Pre-frailty was associated with a higher risk of mortality (RR = 1.29, 95% CI: 1.11–1.50). Cognitive frailty was associated with higher risk of incident mortality (RR = 2.41, 95% CI: 1.97–2.94), dementia (RR = 3.67, 95% CI: 2.81–4.78), disability (RR = 11.32, 95% CI: 4.14–30.97), and hospitalization (RR = 2.30, 95% CI: 1.60–3.32), as well as poor quality of life.

Conclusion

Cognitive frailty could be a comprehensive psychosomatic predictor for adverse outcomes among older people. Interactions between frailty, mild cognitive impairment, and cognitive frailty on adverse outcomes must be further explored.

Systematic review registration

[https://inplasy.com/inplasy-2022-5-0064/], identifier [INPLASY202250064].

Physical frailty and cognitive impairment in older nursing home residents: a latent class analysis

BACKGROUND

Little is known about the heterogeneous clinical profile of physical frailty and its association with cognitive impairment in older U.S. nursing home (NH) residents.

METHODS

Minimum Data Set 3.0 at admission was used to identify older adults newly-admitted to nursing homes with life expectancy ≥6 months and length of stay ≥100 days (n = 871,801). Latent class analysis was used to identify physical frailty subgroups, using FRAIL-NH items as indicators. The association between the identified physical frailty subgroups and cognitive impairment (measured by Brief Interview for Mental Status/Cognitive Performance Scale: none/mild; moderate; severe), adjusting for demographic and clinical characteristics, was estimated by multinomial logistic regression and presented in adjusted odds ratios (aOR) and 95% confidence intervals (CIs).

RESULTS

In older nursing home residents at admission, three physical frailty subgroups were identified: "mild physical frailty" (prevalence: 7.6%), "moderate physical frailty" (44.5%) and "severe physical frailty" (47.9%). Those in "moderate physical frailty" or "severe physical frailty" had high probabilities of needing assistance in transferring between locations and inability to walk in a room. Residents in "severe physical frailty" also had greater probability of bowel incontinence. Compared to those with none/mild cognitive impairment, older residents with moderate or severe impairment had slightly higher odds of belonging to "moderate physical frailty" [aOR (95%CI)moderate cognitive impairment: 1.01 (0.99-1.03); aOR (95%CI)severe cognitive impairment: 1.03 (1.01-1.05)] and much higher odds to the "severe physical frailty" subgroup [aOR (95%CI)moderate cognitive impairment: 2.41 (2.35-2.47); aOR (95%CI)severe cognitive impairment: 5.74 (5.58-5.90)].

CONCLUSIONS

Findings indicate the heterogeneous presentations of physical frailty in older nursing home residents and additional evidence on the interrelationship between physical frailty and cognitive impairment.

Hand grip strength before and after SARS-CoV-2 infection in community-dwelling older adults

Objective

To assess the association between SARS‐CoV‐2 infection and decreased hand grip strength (HGS).

Design

Longitudinal population‐based study.

Setting

Community‐dwelling older adults (aged ≥60 years) living in a rural Ecuadorian village struck by the SARS‐CoV‐2 pandemic.

Participants

Of 282 enrolled individuals, 254 (90%) finished the study.

Measurements

HGS was measured 3 months before (January 2020) and 9 months after the introduction of the virus into the population (January 2021). SARS‐CoV‐2 antibody testing was performed in two rounds: in May–June (early) and September–November (late), 2020. An independent association between SARS‐CoV‐2 infection and HGS decline was assessed by fitting linear mixed models for longitudinal data. Changes in HGS scores in SARS‐CoV‐2 seropositive subjects, according to the time elapsed since seroconversion, were compared with those who remained seronegative.

Results

Overall, 149 (59%) individuals became seropositive for SARS‐CoV‐2. The mean HGS (in kg) was 25.3 ± 8.3 at baseline and 23.7 ± 8.1 at follow‐up (p = 0.028), with 140 individuals having >5% HGS decline between both measurements. The follow‐up HGS measurement decreased by 1.72 kg in seropositive individuals, and by 0.57 kg in their seronegative counterparts (p < 0.001). SARS‐CoV‐2 seropositive individuals were 2.27 times more likely (95% CI: 1.33–3.87) to have a lower HGS measurement at the time of follow‐up than those who remained seronegative. When compared with seronegative subjects, seropositive patients with early seroconversion were 3.41 times (95% CI: 1.73–6.74) more likely to have >5% HGS decline at the time of the follow‐up than those with later, i.e., more recent, infections.

Conclusions

This study shows an independent deleterious impact of SARS‐CoV‐2 on HGS that is more marked among individuals with infections that occurred more than 8 months before follow‐up HGS. Results suggest the possibility of chronic damage to skeletal muscles by SARS‐CoV‐2.

Physical Frailty and Cognitive Impairment in Older Adults in United States Nursing Homes

INTRODUCTION

In older US nursing home (NH) residents, there is limited research on the prevalence of physical frailty, its potential dynamic changes, and its association with cognitive impairment in older adults' first 6 months of NH stay.

METHODS

Minimum Data Set (MDS) 3.0 is the national database on residents in US Medicare-/Medicaid-certified NHs. MDS 3.0 was used to identify older adults aged ≥65 years, newly admitted to NHs during January 1, 2014, and June 30, 2016, with life expectancy ≥6 months at admission and NH length of stay ≥6 months (N = 571,139). MDS 3.0 assessments at admission, 3 months, and 6 months were used. In each assessment, physical frailty was measured by FRAIL-NH (robust, prefrail, and frail) and cognitive impairment by Brief Interview for Mental Status and Cognitive Performance Scale (none/mild, moderate, and severe). Demographic characteristics and diagnosed conditions were measured at admission, while presence of pain and receipt of psychotropic medications were at each assessment. Distribution of physical frailty and its change over time by cognitive impairment were described. A nonproportional odds model was fitted with a generalized estimation equation to longitudinally examine the association between physical frailty and cognitive impairment, adjusting for demographic and clinical characteristics.

RESULTS

Around 60% of older residents were physically frail in the first 6 months. Improvement and worsening across physical frailty levels were observed. Particularly, in those who were prefrail at admission, 23% improved to robust by 3 months. At admission, 3 months, and 6 months, over 37% of older residents had severe cognitive impairment and about 70% of those with cognitive impairment were physically frail. At admission, older residents with moderate cognitive impairment were 35% more likely (adjusted odds ratio [aOR]: 1.35, 95% confidence interval [CI]: 1.33-1.37) and those with severe impairment were 74% more likely (aOR: 1.74, 95% CI: 1.72-1.77) to be frail than prefrail/robust, compared to those with none/mild impairment. The association between the 2 conditions remained positive and consistently increased over time.

DISCUSSION/CONCLUSION

Physical frailty was prevalent in NHs with potential to improve and was strongly associated with cognitive impairment. Physical frailty could be a modifiable target, and interventions may include efforts to address cognitive impairment.

Frailty, MRI, and FDG-PET Measures in an Australian Memory Clinic Cohort

Given that the global population is aging, the number of age-related syndromes, such as frailty, is expected to rise in conjunction. Frailty is characterized by the loss of homeostatic reserve, rendering the individual vulnerable to poor health outcomes. Many biological mechanisms have been proposed to contribute to frailty. However, few studies have assessed the associations between frailty and brain diseases or neuroimaging biomarkers. Aims: The aims of this study were to measure the prevalence of frailty in a memory clinic and to examine associations between frailty and brain changes found on magnetic resonance imaging (MRI) and 18-F deoxyglucose (FDG) positron emission tomography (PET) in memory clinic attendees. Methods: A 54-items Frailty Index was retrospectively assessed for all clinic attendees from 2014. Frailty was defined as FI > 0.25. MR images were analyzed for stroke, cerebral small vessel disease [CSVD, including cerebral microbleeds (CMBs), cortical superficial siderosis (CSS), and white matter hyperintensity (WMH)], and neurodegenerative changes [MRI: mesial temporal atrophy (MTA), FDG-PET: regional hypometabolism], blind to clinical findings. Results: There were 209 clinic attendees in 2014, of whom 121 had MRI performed. The prevalence of frailty (using FI) in the memory clinic in 2014 was 38.3% overall (patients without MRI: 43.2%, patients with MRI 34.7%, p = 0.25). Frailty was associated with presence of deep WMH, increased severity of periventricular WMH, and presence of CSS, but not neurodegeneration markers (MTA atrophy/FDG-PET hypometabolism). Conclusion: The findings support the idea that previously reported associations between frailty and imaging evidence of CSVD in other cohorts are also relevant to the Australian clinic setting. Given that a large proportion of memory clinic attendees are frail, there may be opportunities for interventions to reduce preventable adverse health outcomes, such as falls and fractures, and reduce the prevalence and impact of frailty in this cohort.

Frailty and SARS-CoV-2 infection. A population-based study in a highly endemic village

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Data on the association between frailty and SARS-CoV-2 infection is inconsistent.

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There are no studies addressing if frail subjects are more prone to acquire SARS-CoV-2 infection.

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We assessed the relationship between previously diagnosed frailty and SARS-CoV-2 in older adults.

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Frailty does not predispose to SARS-CoV-2 infection in community-dwelling older adults.

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Lack of confinement to retirement homes probably accounts for our findings.

Mediation of age in the association between frailty and large artery atherosclerosis burden - A population study in community-dwelling older adults

BACKGROUND

A systematic evaluation of the relationship between frailty and large artery atherosclerosis (LAA) burden has not been carried out. Here, we aimed to assess the association between these variables in community-dwelling older adults living in Atahualpa (rural Ecuador).

METHODS

Participants underwent frailty assessment and determinations of LAA in several vascular beds. Frailty was estimated by the Edmonton Frailty Scale (EFS). LAA was investigated in the peripheral vascular bed by means of ankle-brachial index determinations, in the extracranial carotid bed by B-mode ultrasounds, and in the intracranial bed by high-resolution CT and time-of-flight MRA. Ordinal logistic regression with interaction models were fitted to assess the independent association between levels of cognitive frailty and the LAA burden. Casual mediation and sensitivity analysis, and the E value, evaluated the effect of age in this association.

RESULTS

Out of 331 included individuals, 176 (53%) were robust and the remaining 47% were either pre-frail (n = 78) or frail (n = 77). Atherosclerosis affected only one (any) vascular bed in 111 (34%) individuals, two beds in 75 (23%), and three beds in 22 (7%); the remaining 123 (37%) had no evidence of atherosclerosis. Univariate analysis showed a significant inverse association between the robust status of cognitive frailty and LAA burden (p = 0.006). This association vanishes after considering the effect of covariates. Causal mediation analysis confirms that age captures 51.8% (95% C.I.: 34.6 to 97.2%) of the effect of the association. Sensitivity analysis and E-value computation find that the amount of bias provided by age is enough to explain away the effect estimate.

CONCLUSIONS

This study found no independent relationship between cognitive frailty and LAA burden.

On the Association Between Social Determinants of Health and Disability in Stroke-Free Older Adults Living in Rural Settings. The Three Villages Study

BACKGROUND

High social risk, as quantified by the social determinants of health (SDH), may lead to disability. This association has not been well explored in remote settings. Using the three Villages Study cohort, we assessed the association between SDH and disability among stroke-free older adults living in a rural Ecuadorian community.

METHODS

SDH were measured by the use of the Gijon Scale and disability by the Functional Activities Questionnaire. All participants had a brain MRI to assess subclinical biomarkers of cerebral small vessel disease. Multivariate models were fitted to assess the association between components of SDH and disability, after adjusting for covariates of interest.

RESULTS

The mean age of 478 enrolled individuals was 70.1 ± 8 years (59% women). High social risk was observed in 220 (46%) individuals and disability in 222 (46%). There was an almost direct linear relationship between SDH and disability, after taking into account the effect of age. A generalized linear model, adjusted for all included covariates, showed an independent association between social risk and disability (P < .001). In addition, multivariate models showed that independent SDH components more strongly associated with disability were worse support networks and social relationships. In contrast, the single SDH component not associated with disability was the economic status.

CONCLUSIONS

This study showed a robust association between SDH and disability. Economic needs were surpassed by other components of SDH. This knowledge will help to develop strategies for the control of factors that may be in the path for disability among older adults living in rural settings.