Course of frailty stratified by physical and mental multimorbidity patterns: a 5-year follow-up of 92,640 participants of the LifeLines cohort study

Association between frailty and detrusor overactivity with detrusor underactivity in older women

PURPOSE

While detrusor overactivity (DO) with detrusor underactivity (DU) (DO-DU) has been described as typical of aging, the pathogenesis of DO-DU is highly multifactorial, and often thought to involve medical conditions beyond the urinary tract. We aimed to explore potential associations between idiopathic DO-DU and frailty in older women after accounting for age.

METHODS

The design of the study is a cross-sectional single-center study, in an outpatient urodynamic unit specializing in geriatrics. Participants are consecutive female patients aged ≥65 years without contributory neurological conditions or bladder outlet obstruction who completed a comprehensive geriatric assessment followed by urodynamic evaluation from 2015 to 2019. Participants were categorized as having DO, DU, combined DO-DU, or a negative study. Multinomial logistic regression analysis was used to assess the relationship between urodynamic outcomes and frailty, as quantified using the Frailty index (FI).

RESULTS

Ninety-five patients were included (median age 78 [interquartile range: 70-83] years), among whom 29% had combined DO-DU. The median FI score was 0.27 (0.2-0.32) (5-12). A higher FI was associated with significantly greater age-adjusted odds of DO-DU when either DU or subjects with a negative urodynamic assessment were used as the reference group. Age was not significantly associated with DO-DU across all multivariable analyses.

CONCLUSION

A higher FI was associated with an increased likelihood of DO-DU, which could not be attributed to the effect of age alone. The pathogenesis of DO-DU is likely more complex than chronological aging in and of itself and merits further study.

Hidden Dangers of Frailty: Higher Mortality, Complications and Costs in Acute Pancreatitis

BACKGROUND

Frailty is a clinically recognizable state of increased vulnerability due to age-related decline in reserve and function across multiple physiologic systems that compromises the ability to cope with acute stress. As frailty is being identified as an important risk factor in outcomes of gastrointestinal pathologies, we aimed to assess outcomes in patients with acute pancreatitis within this cohort.

METHOD

We conducted a retrospective study using the Nationwide Inpatient Sample (NIS) database. ICD-10 codes were used to inquire for patients admitted with acute pancreatitis between September 2015 through 2017. ICD-10 codes corresponding to the Hospital Frailty Risk Score (HFRS) were used to divide the study sample into 2 cohorts: low risk (< 5 points) and intermediate or high risk (> 5 points). To calculate the points, we fitted a logistic regression model that included membership of the frail group as the binary dependent variable (frail vs. non-frail) and the set of ICD-10 codes as binary predictor variables (1 = present, 0 = absent for each code). To simplify the calculation and interpretation, we multiplied regression coefficients by five to create a points system, so that a certain number of points are awarded for each ICD-10 code and added together to create the final frailty risk score. Multivariate regression analysis was performed to find adjusted mortality.

RESULTS

Out of a total of 1,267,744 patients admitted with acute pancreatitis, 728,953 (57.5%) were identified as intermediate and high risk (> 5 points) (study cohort) and 538,781 (42.5%) as low risk (< 5 points). The mean age in the study cohort was 64.8 ± 12.6 and that in the low-risk group was 58.6 ± 9.5. Most of the patients in both groups were males and Caucasians; Medicare was the predominant insurance provider. A majority of the admissions in both groups were in an urban teaching hospital and were emergency. (Table 1). The primary outcome was in-hospital mortality which was significantly higher in the study cohort as compared to the low-risk group (4.3% vs. 2.5%, p < 0.0001). The age-adjusted Odds ratio of mortality was 1.72(95% CI (Confidence Interval) 1.65-1.80, p < 0.05). When compared between the two groups; median length of stay (6 vs. 4); hospitalization cost ($14,412 vs. $10,193), disposition to a skilled nursing facility (SNF) (17.1% vs. 8.6%) and need for home health care (HHC) was significantly higher in the study cohort. Complications like septicemia, septic shock, and acute kidney injury were also higher in the study group (Table 2). Table 1 Baseline demographics of the cohort Characteristics Acute pancreatitis with High HES Frailty score (> 5, intermediate + high) Acute pancreatitis with low HES Frailty score (< 5) P-value N = 1,267,744 N = 728,953 (57.5%) N = 538,781 (42.5%) Age  Mean years (Mean ± SD) 64.8 ± 12.6 58.6 ± 9.5  < 0.001 Gender  < 0.001  Male 59.1% 52.3%  Female 40.9% 47.7% *Missing-475 Age groups  < 0.001  18-44 3.7% 14.3%  45-64 48% 52.9%  65-84 32.2% 28.7%  ≥ 85 16.1% 4.1% Race  < 0.001  Caucasians 67.4% 61.9%  African Americans 9.6% 16.8%  Others 23% 21.3% *Missing-10 Insurance type  < 0.001  Medicare 40.9% 36.3%  Medicaid 17.2% 24.3%  Private 31.8% 27.9%  Other 9.9% 11.4% *Missing-75 Active smoking 32.7% 37.9% 0.005 Biliary Stone 36.2% 16.7%  < 0.001 Admission Type  < 0.001  Emergent 93.7% 94.3%  Elective 6.3% 5.7% *Missing-2880 Hospital ownership/control  < 0.001  Rural 7.8% 10%  Urban nonteaching 26.3% 26.6%  Urban teaching 65.9% 63.4% Table 2 Outcomes Outcomes Acute pancreatitis with High HES Frailty score (> 5, intermediate + high) Acute pancreatitis with low HES Frailty score (< 5) P-value In-hospital mortality *Missing-920 4.3% 2.5%  < .0001 1.72(1.65-1.80)  < .0001 Length of stay, days (Median,IQR) 6(3-8) 4(2-6)  < .0001 Total hospitalization cost, $ (Median,IQR) 14,412(8843-20,216) 10,193(6840-13,842)  < .0001 In-Hospital Complications  ARDS 0.4% 0.3% 0.08  Ventilator dependence respiratory failure 0.23% 0.29% 0.25  Septicemia 15.2% 9.6%  < .0001  Septic Shock 6.1% 2.9%  < .0001  AKI 24.8% 14.9%  < .0001 Disposition  < .0001  Discharge to home 58.9% 74.9%  Transfer other: includes  Skilled Nursing Facility (SNF), Intermediate Care Facility (ICF), and another type of facility 17.1% 8.6%  Home health care 11.5% 8.1%  Against medical advice (AMA) 1.6% 3.4% *Missing-920 CONCLUSION: Using frailty as a construct to identify those who are at greater risk for adverse outcomes, can help formulate interventions to target individualized reversible factors to improve outcomes in patients with acute pancreatitis. Future large-scale prospective studies are warranted to understand the dynamic and longitudinal relationship between pancreatitis and frailty.

Assessing the relationship between multimorbidity, NCD configurations, frailty phenotypes, and mortality risk in older adults

BACKGROUND

Older adults are increasingly susceptible to prolonged illness, multiple chronic diseases, and disabilities, which can lead to the coexistence of multimorbidity and frailty. Multimorbidity may result in various noncommunicable disease (NCD) patterns or configurations that could be associated with frailty and death. Mortality risk may vary depending on the presence of specific chronic diseases configurations or frailty.

METHODS

The aim was to examine the impact of NCD configurations on mortality risk among older adults with distinct frailty phenotypes. The population was analyzed from the Costa Rican Longevity and Healthy Aging Study Cohort (CRELES). A total of 2,662 adults aged 60 or older were included and followed for 5 years. Exploratory factor analysis and various clustering techniques were utilized to identify NCD configurations. The frequency of NCD accumulation was also assessed for a multimorbidity definition. Frailty phenotypes were set according to Fried et al. criteria. Kaplan‒Meier survival analyses, mortality rates, and Cox proportional hazards models were estimated.

RESULTS

Four different types of patterns were identified: 'Neuro-psychiatric', 'Metabolic', 'Cardiovascular', and 'Mixt' configurations. These configurations showed a higher mortality risk than the mere accumulation of NCDs [Cardiovascular HR:1.65 (1.07-2.57); 'Mixt' HR:1.49 (1.00-2.22); ≥3 NCDs HR:1.31 (1.09-1.58)]. Frailty exhibited a high and constant mortality risk, irrespective of the presence of any NCD configuration or multimorbidity definition. However, HRs decreased and lost statistical significance when phenotypes were considered in the Cox models [frailty + 'Cardiovascular' HR:1.56 (1.00-2.42); frailty + 'Mixt':1.42 (0.95-2.11); and frailty + ≥ 3 NCDs HR:1.23 (1.02-1.49)].

CONCLUSIONS

Frailty accompanying multimorbidity emerges as a more crucial indicator of mortality risk than multimorbidity alone. Therefore, studying NCD configurations is worthwhile as they may offer improved risk profiles for mortality as alternatives to straightforward counts.

Additive effect of frailty with distinct multimorbidity patterns on mortality amongst middle-aged and older adults in Taiwan: A 16-year population-based study

AIM

This study aimed to explore the association between multimorbidity patterns with/without frailty and future mortality among Taiwanese middle-aged and older adults through a population-based cohort study design.

METHODS

Data were collected from the Taiwan Longitudinal Study on Aging. The data were obtained from Wave 3, with the multimorbidity patterns in the years of 1996 being analyzed through latent class analysis. Frailty was defined using the modified Fried criteria. The association between each disease group with/without frailty and mortality was examined using logistic regression, with the reference group as the Relatively healthy group without frailty. Survival analysis was performed using Cox regression, and the follow-up period of mortality was from 1 January 1996 to 31 December 2012.

RESULTS

A total of 4748 middle-aged and older adults with an average age of 66.3 years (SD: 9.07 years) were included. Four disease patterns were identified in 1996, namely the Cardiometabolic (21.0%), Arthritis-cataract (11.9%), Relatively healthy (61.6%), and Multimorbidity (5.5%) groups. After adjusting for all covariates, the Relatively healthy group with frailty showed the highest risk for mortality (odds ratio: 3.66, 95% confidence interval [95% CI]: 2.24-5.95), followed by the Cardiometabolic group with frailty (odds ratio: 3.58, 95% CI: 1.96-6.54), Multimorbidity group with frailty (odds ratio: 2.28, 95% CI: 1.17-4.44), Multimorbidity group without frailty (odds ratio: 1.44, 95% CI: 1.01-2.04), and the Cardiometabolic group without frailty (odds ratio: 1.24, 95% CI: 1.04-1.49).

CONCLUSIONS

Frailty plays an important role in mortality among middle-aged and older adults with distinct multimorbidity patterns. Middle-aged and older adults with a relatively healthy multimorbidity pattern or a cardiometabolic multimorbidity pattern with frailty encountered dismal outcomes. Geriatr Gerontol Int 2023; 23: 684-691.

Impact of Geroscience on Therapeutic Strategies for Older Adults With Cardiovascular Disease: JACC Scientific Statement

Geroscience posits that cardiovascular disease (CVD) and other chronic diseases result from progressive erosion of the effectiveness of homeostatic mechanisms that oppose age-related accumulation of molecular damage. This hypothetical common root to chronic diseases explains why patients with CVD are often affected by multimorbidity and frailty and why older age negatively affects CVD prognosis and treatment response. Gerotherapeutics enhance resilience mechanisms that counter age-related molecular damage to prevent chronic diseases, frailty, and disability, thereby extending healthspan. Here, we describe the main resilience mechanisms of mammalian aging, with a focus on how they can affect CVD pathophysiology. We next present novel gerotherapeutic approaches, some of which are already used in management of CVD, and explore their potential to transform care and management of CVD. The geroscience paradigm is gaining traction broadly in medical specialties, with potential to mitigate premature aging, reduce health care disparities, and improve population healthspan.

The Longitudinal Relationship between Frailty, Loneliness and Cardiovascular Disease: A Prospective Cohort Study

OBJECTIVES

Previous studies had reported that frailty and loneliness were associated with increased risk of cardiovascular disease (CVD). The aim of present study was to evaluate the combined effect of frailty and loneliness on the risk of CVD.

METHODS

A total of 9,674 participants from the China Health and Retirement Longitudinal Study were included. Multivariate Cox proportional hazards regression model was used to explore the associations between frailty, loneliness and new-onset CVD, stroke and cardiac events.

RESULTS

During the 7-year follow-up, a total of 1,758 respondents experienced CVD (including 584 stroke and 1,324 cardiac events). Compared to those without loneliness or frailty, individuals with loneliness alone, or with frailty alone, or with both loneliness and frailty were significantly associated with increased risk of CVD, with corresponding HRs (95%CIs) were 1.21(1.07-1.37), 1.57(1.32-1.86) and 1.78(1.52-2.10), respectively. Similarly, participants with loneliness alone, or with frailty alone, or with both loneliness and frailty were associated with higher risk of cardiac events. The significant associations were consistent in age subgroups (participants aged less or more than 60 years).

CONCLUSION

Our study indicated that there was a combined effect of effect of frailty and loneliness on the risk of CVD, stroke and cardiac events. These findings highlighted the importance of identifying loneliness and frailty, and intervening much earlier both in older and younger population.

Frailty and affective disorders throughout adult life: A 5-year follow-up of the Lifelines Cohort Study

BACKGROUND

Frailty is an important concept for risk stratification in clinical practice, but it is hardly acknowledged at all in mental healthcare settings. This paper aims to assess the impact of frailty on the course of depression and anxiety, and the impact of these affective disorders on the course of frailty.

METHODS

Lifelines, a prospective population-based cohort study, evaluated 167,729 people living in the northern Netherlands. Frailty was based on the deficit accumulation model, which resulted in a 60-item frailty index (FI) at baseline and a 35-item FI at baseline and 5-year follow-up. Current depressive and anxiety disorders were assessed with the Mini International Neuropsychiatric Interview according to DSM-IV criteria. Bidirectional associations between frailty and affective disorders were investigated using separate multivariable regression analyses in younger (<60 years) and older adults (≥60 years).

RESULTS

The FI was associated with the onset of a depressive disorder (younger adults: odds ratio [OR] = 1.12; 95% confidence interval [CI] 1.11-1.13; older adults: OR = 1.13; 95% CI 1.09-1.16) as well as any anxiety disorder (younger adults: OR = 1.10; 95% CI 1.09-1.10; older adults: OR = 1.07; 95% CI 1.04-1.09). The other way around, depressive disorder and anxiety disorders were associated with an accelerated increase of frailty over time (depressive disorder: younger adults: beta [β] = 0.03, p < 0.001; older adults: β = 0.04, p < 0.001; and any anxiety disorder: younger adults: β = 0.02, p < 0.001; older adults: β = 0.01, p < 0.142), although the effect of anxiety disorders was less equivocal among older adults.

CONCLUSIONS

Affective disorders are reciprocally related to frailty. Results with respect to the impact of anxiety disorders on frailty suggest most impact at lower levels of frailty. Our results might imply that interventions to slow biological aging should be broadened towards younger and middle-aged people as well as non-frail older patients. To develop targeted treatment, future clinical and epidemiologic studies on the underlying pathways of this bidirectional association are needed.

Frailty Index and Cardiovascular Disease among Middle-Aged and Older Chinese Adults: A Nationally Representative Cross-Sectional and Follow-Up Study

Evidence for the association between the frailty index and cardiovascular disease (CVD) is inconclusive, and this association has not been evaluated in Chinese adults. We aim to examine the association between the frailty index and CVD among middle-aged and older Chinese adults. We conducted cross-sectional and cohort analyses using nationally representative data from the China Health and Retirement Longitudinal Study (CHARLS). From 2011 to 2018, 17,708 participants aged 45 years and older were included in the CHARLS. The primary outcome was CVD events (composite of heart disease and stroke). Multivariable adjusted logistic regression and Cox proportional hazards models were used to estimate the association between the frailty index and CVD in cross-sectional and follow-up studies, respectively. A restricted cubic spline model was used to characterize dose−response relationships. A total of 16,293 and 13,580 participants aged 45 years and older were included in the cross-sectional and cohort analyses, respectively. In the cross-sectional study, the prevalence of CVD in robust, pre-frailty and frailty was 7.83%, 18.70% and 32.39%, respectively. After multivariable adjustment, pre-frailty and frailty were associated with CVD; ORs were 2.54 (95% confidence interval [CI], 2.28−2.84) and 4.76 (95% CI, 4.10−5.52), respectively. During the 7 years of follow-up, 2122 participants without previous CVD developed incident CVD; pre-frailty and frailty were associated with increased risk of CVD events; HRs were 1.53 (95% CI, 1.39−1.68) and 2.17 (95% CI, 1.88−2.50), respectively. Furthermore, a stronger association of the frailty index with CVD was observed in participants aged <55, men, rural community-dwellers, BMI ≥ 25, without hypertension, diabetes or dyslipidemia. A clear nonlinear dose−response pattern between the frailty index and CVD was widely observed (p < 0.001 for nonlinearity), the frailty index was above 0.08, and the hazard ratio per standard deviation was 1.18 (95% CI 1.13−1.25). We observed the association between the frailty index and CVD among middle-aged and elderly adults in China, independent of chronological age and other CVD risk factors. Our findings are important for prevention strategies aimed at reducing the growing burden of CVD in older adults.

The Frail Depressed Patient: A Narrative Review on Treatment Challenges

Although the public importance of frailty is widely acknowledged by the World Health Organization, physical frailty is still largely neglected in geriatric mental health care. Firstly in this narrative review, we summarize the knowledge on the epidemiology of the association between depression and frailty, whereafter implications for treatment will be discussed. Even though frailty and depression have overlapping diagnostic criteria, epidemiological studies provide evidence for distinct constructs which are bidirectionally associated. Among depressed patients, frailty has predictive validity being associated with increased mortality rates and an exponentially higher fall risk due to antidepressants. Nonetheless, guidelines on the treatment of depression neither consider frailty for risk stratification nor for treatment selection. We argue that frailty assessment enables clinicians to better target the pharmacological and psychological treatment of depression as well as the need for interventions targeting primarily frailty, for instance, lifestyle interventions and reduction of polypharmacy. Applying a frailty informed framework of depression treatment studies included in a meta-analysis reveals that the benefit–harm ratio of antidepressants given to frail depressed patients can be questioned. Nonetheless, frail-depressed patients should not withhold antidepressants as formal studies are not available yet, but potential adverse effects should be closely monitored. Dopaminergic antidepressants might be preferable when slowness is a prominent clinical feature. Psychotherapy is an important alternative for pharmacological treatment, especially psychotherapeutic approaches within the movement of positive psychology, but this approach needs further study. Finally, geriatric rehabilitation, including physical exercise and nutritional advice, should also be considered. In this regard, targeting ageing-related abnormalities underlying frailty that may also be involved in late-life depression such as low-grade inflammation might be a promising target for future studies. The lack of treatment studies precludes firm recommendations, but more awareness for frailty in mental health care will open a plethora of alternative treatment options to be considered.

Frailty trajectories in three longitudinal studies of aging: Is the level or the rate of change more predictive of mortality?

BACKGROUND

frailty shows an upward trajectory with age, and higher levels increase the risk of mortality. However, it is less known whether the shape of frailty trajectories differs by age at death or whether the rate of change in frailty is associated with mortality.

OBJECTIVES

to assess population frailty trajectories by age at death and to analyse whether the current level of the frailty index (FI) i.e. the most recent measurement or the person-specific rate of change is more predictive of mortality.

METHODS

3,689 individuals from three population-based cohorts with up to 15 repeated measurements of the Rockwood frailty index were analysed. The FI trajectories were assessed by stratifying the sample into four age-at-death groups: <70, 70-80, 80-90 and >90 years. Generalised survival models were used in the survival analysis.

RESULTS

the FI trajectories by age at death showed that those who died at <70 years had a steadily increasing trajectory throughout the 40 years before death, whereas those who died at the oldest ages only accrued deficits from age ~75 onwards. Higher level of FI was independently associated with increased risk of mortality (hazard ratio 1.68, 95% confidence interval 1.47-1.91), whereas the rate of change was no longer significant after accounting for the current FI level. The effect of the FI level did not weaken with time elapsed since the last measurement.

CONCLUSIONS

Frailty trajectories differ as a function of age-at-death category. The current level of FI is a stronger marker for risk stratification than the rate of change.

Frailty in inflammatory bowel diseases: an emerging concept

Inflammatory bowel diseases (IBD), consisting of Crohn's disease and ulcerative colitis, are chronic remitting, relapsing inflammatory conditions of the gastrointestinal tract. While traditionally a disease of younger ages, the number of older adults with IBD is rising rapidly. Patients with IBD often experience geriatric syndromes at earlier ages. Older adults with IBD have poorer disease and treatment-related outcomes compared with younger adults with IBD. Applying the principles of geriatrics to understanding a chronic disease in older adults may improve health span. Better tools are needed to stratify IBD patients who are at high risk for adverse events. Frailty is a geriatric construct that may approximate biologic age. Frailty is a complex, multi-dimensional syndrome that leads to increased vulnerability to stress and decline of reserve across multiple physiologic systems. In this review, we present the leading conceptual models of frailty and discuss the applications of frailty in immune-mediated diseases. We also review chronic conditions where frailty has been applied successfully as a tool for risk stratification. Finally, we discuss in the detail the growing body of literature highlighting the relationship between frailty and IBD, the epidemiology of frailty in IBD, and ramifications of frailty in IBD.

The management of multi-morbidity in elderly patients: Ready yet for precision medicine in intensive care?

There is ongoing demographic ageing and increasing longevity of the population, with previously devastating and often-fatal diseases now transformed into chronic conditions. This is turning multi-morbidity into a major challenge in the world of critical care. After many years of research and innovation, mainly in geriatric care, the concept of multi-morbidity now requires fine-tuning to support decision-making for patients along their whole trajectory in healthcare, including in the intensive care unit (ICU). This article will discuss current challenges and present approaches to adapt critical care services to the needs of these patients.

Excess mortality in depressive and anxiety disorders: The Lifelines Cohort Study

Background

To examine the mortality risk of current and life-time depressive as well as anxiety disorders, whether this risk is moderated by sex or age, and whether this risk can be explained by lifestyle and/or somatic health status.

Methods

A cohort study (Lifelines) including 141,377 participants (18–93 years) which were followed-up regarding mortality for 8.6 years (range 3.0–13.7). Baseline depressive and anxiety disorders according to Diagnostic and Statistical Manual of Mental Disorders, fourth edition criteria were assessed with the Mini International Neuropsychiatric Interview and lifetime diagnoses by self-report. All-cause mortality was retrieved from Statistics Netherlands. Cox-regression was applied to calculate proportional hazard ratios, adjusted for lifestyle (physical activity, alcohol use, smoking, and body mass index) and somatic health status (multimorbidity and frailty) in different models.

Results

The mortality rate of depressive and anxiety disorders was conditional upon age but not on sex. Only in people below 60 years, current depressive and anxiety disorders were associated with mortality. Only depressive disorder and panic disorder independently predicted mortality when all mental disorders were included simultaneously in one overall model (hazard ratio [HR] = 2.18 [95% confidence intervals (CI): 1.56–3.05], p < 0.001 and HR = 2.39 [95% CI: 1.15–4.98], p = 0.020). Life-time depressive and anxiety disorders, however, were independent of each other associated with mortality. Associations hardly changed when adjusted for lifestyle characteristics but decreased substantially when adjusted for somatic health status (in particular physical frailty).

Conclusions

In particular, depressive disorder is associated with excess mortality in people below 60 years, independent of their lifestyle. This effect seems partly explained by multimorbidity and frailty, which suggest that chronic disease management of depression-associated somatic morbidity needs to be (further) improved.

Longitudinal Association between Late-Life Depression (LLD) and Frailty: Findings from a Prospective Cohort Study (MiMiCS-FRAIL)

OBJECTIVES

The aim of the present study was to investigate whether late-life depression (LLD) is associated with incident frailty over time.

DESIGN

Prospective cohort study, one-year follow-up.

SETTING

Geriatric outpatient clinic, Southwestern of Brazil.

PARTICIPANTS

181 follow-up participants aged 60 years or over.

MEASUREMENTS

Depressive disorders were classified as Major Depressive disorder (MDD) or Subthreshold Depression (STD) according to DSM-5 criteria. Depressive symptoms were assessed with validated versions of 15-item Geriatric Depression Scale (GDS-15) and 9-item Patient Health Questionnaire (PHQ-9). We performed binary logistic regressions to estimate the odds ratio (OR) for frailty in LLD adjusting for multiple confounders. Participants who were frail at baseline were excluded from the analyses according to measures of frailty (FRAIL questionnaire and 36-item Frailty Index, FI-36). We also estimated the risk ratio or relative risk (RR) and the risk difference (RD) for incident frailty.

RESULTS

We observed a 2 to 4-fold increased risk for incident frailty among participants with LLD. The presence of a depressive disorder was significantly associated with the onset of frailty (adjusted OR for FRAIL and FI-36: 3.07 [95% CI = 1.03 - 9.17] and 3.76 [95% CI = 1.09 - 12.97], respectively. Notably, the risk for frailty due to LLD was significantly higher with the FI-36 compared to the FRAIL (RR: 3.03 versus 2.23). RD was of 17.3% and 12.7% with the FRAIL and the FI-36, respectively.

CONCLUSION

Our data support the association between LLD and incident frailty over one year among geriatric outpatients, reinforcing longitudinal evidence from population-based studies.

Socio-Demographic, Clinical and Psychological Profile of Frailty Patients Living in the Home Environment and Nursing Homes: A Cross-Sectional Study

Introduction: Frailty syndrome, as a physiological syndrome, is characterized by a gradual decline in physiological reserve and a lowered resistance to stress-inducing factors, leading to an increased risk of adverse outcomes. It is significantly connected with dependence on care and frequent hospitalizations. Objectives: The aim of the study was to describe socio-demographic, clinical and psychological profile of frailty older adults living in their own homes and to nursing homes. Methods: The study was conducted with 180 patients who were over 60 years of age, the mean (±SD) was 74.1 (±8.8) years. Among the subjects, 90 individuals were community-dwelling older adults. The survey used a list of socio-demographic questions, as well as the following scales: Mini-Mental State Examination (MMSE), Geriatric Depression Scale (GDS), SHARE-FI, and The World Health Organization Quality of Life (WHOQOL-Bref). Results: Pre-frailty was confirmed in 49 (27.2%) patients, and frailty syndrome was noticed in 47 patients (26.1%). The prevalence of frailty syndrome in the study group was related to: place of living (p < 0.001), age (p < 0.001), widowhood (p < 0.001), a poor economic situation (p < 0.001), basic education level (p < 0.001), living alone (p < 0.001), longer duration of illness (p < 0.001), comorbidities (p < 0.001), more medications taken (p < 0.001), deterioration of hearing (p = 0.003), impairment of cognitive functions (p < 0.001), depression (p < 0.001), and decreased quality of life (p < 0.001). Discussion: A lot of socio-demographic and medical factors, particularly cognitive and mental functioning were connected with the prevalence and progression of frailty syndrome in the study group. Quality of life was significantly dependent on the presence of frailty syndrome, both in homes and in nursing homes.