The effect of social frailty on mental health and quality of life in older people: a cross-sectional study.

PURPOSE: This study aims to evaluate anxiety, depression, loneliness, death anxiety, and quality of life and investigate their relationship with social frailty in the geriatric population. Additionally, it aimed to identify social frailty predictors. METHODS: The study included 136 participants admitted to the geriatric outpatient clinic. The 15-item Geriatric Depression Scale (GDS-15), the Multidimensional Scale of Perceived Social Support (MSPSS), the Cumulative Illness Rating Scale for Geriatrics (CIRS-G), the Templer Death Anxiety Scale (T-DAS), the Loneliness Scale for the Elderly (LSE), the Quality of Life Scale (CASP-19), the Generalized Anxiety Disorder-7 Test (GAD-7), the Tilburg Frailty Indicator (TFI), the FRAIL Scale, and the Clinical Frailty Scale (CFS) were performed. The TFI was used to collect data about social frailty. RESULTS: There were 61.8% females, and the median age (min-max) was 72.2 (65.3-90.3) years. The prevalence rate of social frailty was 26.7%. The rates of depression, loneliness, anxiety, death anxiety, the burden of chronic disease, and frailty were higher in the social frailty group. Furthermore, logistic regression analysis revealed a strong relationship between social frailty status and widowhood (odds ratio (OR) 6.86; 95% confidence interval (95% CI), 2.42-19.37; p < 0.001), moderate to severe anxiety symptoms (OR 4.37; 95% CI 1.08-17.68; p = 0.038), and a TFI-physical frailty score (OR 1.40; 95% CI 1.12-1.73; p = 0.002). CONCLUSION: In older adults, the social dimension of frailty is associated with quality of life and psychological state. Physical frailty and sociodemographic characteristics may affect the development of social frailty.

Which comorbidity index is more appropriate for geriatric patients from the frailty perspective?

OBJECTIVES: This study examined the relationship between comorbidity indices and physical, psychologic and social frailty and 1-year mortality. METHODS: A cross-sectional analysis was conducted with 136 community-dwelling older adults. The relationship of 4 comorbidity indices (CIRS-G, ACCI, GIC, ICED) with 3 different frailty scales (FRAIL, CFS, TFI) was examined. RESULTS: The participants' median age was 72 years (65-90); 62% of the participants were female. Overall, 15.4% of the participants were living with frailty according to the FRAIL scale, 27.9% of them according to the CFS, 58.8% of them according to the TFI, 47.7% of them living with psychological frailty, and 28.6% of them living with social frailty. There were significant and moderate correlations between CIRS-G and FRAIL, CFS and TFI total scores, TFI-Psychological scores and TFI-Social scores (respectively; p < 0.001, r = 0.530; p < 0.001, r = 0.471; p < 0.001, r = 0.535; p < 0.001, r = 0.402; p = 0.016 r = 0.206). AUC for CIRS-G was calculated as 0.716 among comorbidity indices in predicting the presence of frailty according to the FRAIL scale (p = 0.002, 95%CI [0.60-0.82]), 0.765 according to the CFS (p < 0.001, 95%CI [0.66-0.86]), 0.746 according to the TFI (p < 0.001, 95%CI [0.66-0.82]). CONCLUSION: The CIRS-G index was found to be superior to other indices in predicting the presence of frailty of comorbidity indices, and only GIC scores showed significant results in predicting mortality. However, it would not be the right approach to recommend a single comorbidity index when evaluating older adults.

Dysphagia is closely related to frailty in mild-to-moderate Alzheimer's disease.

INTRODUCTION: Physical phenotype and the cumulative deficit model are two well-known concepts of frailty. One of the main components of frailty is loss of muscle mass and function, which may also include swallowing muscles, therefore is a risk factor for dysphagia. Since dysphagia is seen starting from the early stages of Alzheimer's Disease (AD), in this study we aimed to reveal the relationship between frailty and dysphagia and dysphagia-related quality of life through Swallow Quality of Life (SwalQoL) tool in patients with AD and compare them with cognitively intact older adults. METHODS: Comprehensive geriatric assessment, dysphagia evaluation by Eating-Assessment Tool (EAT-10) and SwalQoL questionnaire, and frailty assessment via FRAIL and Clinical Frailty Scale (CFS) were performed on all 101 participants of the study. Thirty-five patients were cognitively intact, 36 patients were diagnosed with mild AD, and 30 patients were diagnosed with moderate AD. RESULTS: Sex distribution was similar between the groups, however, there was a statistically significant age difference. The prevalence of frailty increased according to both frailty indexes as the cognitive status deteriorated. All parameters of SwalQoL except fear and sleep parameters deteriorated as cognitive status impaired. In quantile regression of the total score of the SwalQoL questionnaire and multivariable logistic regression of EAT-10, frailty, as defined by CFS and FRAIL, was associated with dysphagia and poor quality of life regardless of age, presence of dementia, as well as nutritional status. CONCLUSION: Swallowing difficulties in AD negatively affects the quality of life, and it is closely related to frailty in mild-to-moderate AD.

Elasticity of leg muscles and incidence of falls in older adults: a prospective cohort analysis.

PURPOSE: Aging impacts muscle strength and elasticity, which in turn influence dynamic balance, walking speed, and physical performance. We aimed to evaluate the relationship between the elasticity of leg muscles and incidence of falls in older adults. METHODS: We conducted a prospective cohort analysis with outpatients from a geriatric clinic. Any history of falls in the past year was recorded. Timed up and go test, muscle thickness, and handgrip strength tests were performed. Elasticities of the gastrocnemius medialis (GM) and rectus femoris (RF) muscles were evaluated using shear wave elastography. Patients self-recorded their falls, and additional phone calls were made to them each month for 6 months. RESULTS: The median age of the patients (n = 55) was 72 years (66-86); and 72% were women. The GM showed significantly lower elasticity in patients with history of falls in the past year than in those without it (8.08 kPa [3.90-16.17] vs. 9.70 kPa [4.99-20.95]; p = 0.028). A similar negative correlation between GM and fall incidence was noted among those with additional falls during the follow-up period (6.96 kPa [3.90-12.41] vs. 9.13 kPa [4.99-20.95]; p = 0.019). GM elasticity was significantly correlated with the timed up and go test score (r = - 0.612, p < 0.001), handgrip strength (r = 0.384, p = 0.015), and muscle thickness (r = 0.232, p = 0.049). No such associations were observed for the RF muscles. CONCLUSION: GM muscle elasticity is associated with alterations in muscle structure that may lead to falls in older adults. Therefore, muscle elasticity may be a fall predictor in older adults.

Cognitive assessment in the time of pandemics: mandatory surgical face mask usage affects cognitive test performance of older adults.

BACKGROUND: The most important disadvantage of surgical mask usage is that it can aversely affect communication. This study aimed to evaluate the possible effects of face masks on the cognitive test performance of older adults. METHODS: A total of 198 geriatric patients were enrolled after applying the exclusion criteria. Within the comprehensive geriatric assessment (CGA), cognitive status assessment was performed with the Mini-Mental State Examination test (MMSE) and Quick Mild Cognitive Impairment Screening test (Q-MCI) tests. RESULTS: The median age was 70 (66-77) years, and there were 119 female (60.7%) patients. Patients were divided into normal cognitive status (NC), mild cognitive impairment (MCI), and probable Alzheimer's disease (AD) groups. There were 129 (65.2%), 30 (15.2%), and 37 (18.7%) patients in each group, respectively. For differentiating MCI from NC, calculated optimal cut-offs for the Q-MCI and MMSE total scores were ≤50 (sensitivity 83.3%, specificity 90.7%) and ≤26 (sensitivity 63.3%, specificity 87.5%), respectively. For differentiating AD from MCI, calculated optimal cut-offs for the Q-MCI and MMSE total scores were ≤28 (sensitivity 76.8%, specificity 86.7%), and ≤24 (sensitivity 94.4%, specificity 64.5%), respectively. CONCLUSION: Our results revealed that screening tests are still sensitive in discriminating cognitive disorders although cut-offs are lower with mask usage than for previously validated cut-offs. This is the first study revealing the impact of surgical mask usage on cognitive test performance, indicating that cut-offs validated before the pandemic may cause overdiagnosing of cognitive disorders since the previous cut-offs are not validated for mask usage. Large sample studies are needed to determine new cut-offs validated with mask usage.

Global Leadership Initiative on Malnutrition criteria with different muscle assessments including muscle ultrasound with hospitalized internal medicine patients.

BACKGROUND: The aim of this study is to identify cutoff values for muscle ultrasound (US) to be used in Global Leadership Initiative on Malnutrition (GLIM) criteria, and to define the effect of reduced muscle mass assessment on malnutrition prevalence at hospital admission. METHODS: A total of 118 inpatients were enrolled in this cross-sectional study. Six different muscles were evaluated by US. Following defining thresholds for muscle US to predict low muscle mass measured by bioelectrical impedance analysis, malnutrition was diagnosed by GLIM criteria with seven approaches, including calf circumference, mid-upper arm circumference (MAC), handgrip strength (HGS), skeletal muscle index (SMI), rectus femoris (RF) muscle thickness, and cross-sectional area (CSA) in addition to without using the reduced muscle mass criterion. RESULTS: The median age of patients was 64 (18-93) years, 55.9% were female. RF muscle thickness had moderate positive correlations with both HGS (r = 0.572) and SMI (r = 0.405). RF CSA had moderate correlation with HGS (r = 0.567) and low correlation with SMI (r = 0.389). The cutoff thresholds were 11.3 mm (area under the curve [AUC] = 0.835) and 17 mm (AUC = 0.737) for RF muscle thickness and 4 cm² (AUC = 0.937) and 7.2 cm² (AUC = 0.755) for RF CSA in females and males, respectively. Without using the reduced muscle mass criterion, malnutrition prevalence was 46.6%; otherwise, it ranged from 47.5% (using MAC) to 65.2% (using HGS). CONCLUSIONS: Muscle US may be used in GLIM criteria. However, muscle US needs a standard measurement technique and specific cutoff values in future studies.

The relationship between the severity of insomnia and falls in the elderly.

BACKGROUND: Insomnia is associated with depression, cognitive impairment, hypertension, myocardial infarction, stroke, metabolic syndrome and prostate cancer in the elderly. The aim of this study is to investigate the relationship between severity of insomnia and falls. METHODS: This cross-sectional study was conducted in a single geriatric outpatient clinic at a university teaching hospital. Patients with active infection, who could not complete insomnia severity index (ISI) test because of cognitive impairment and who could not perform handgrip strength and timed up and go (TUG) tests were excluded from the study. RESULTS: A total of 215 patients were included in this study. Logistic regression analysis showed that there is significant relationship between poorer TUG performance, mild insomnia, moderate insomnia, severe insomnia and falls in the elderly (odds ratio (OR) = 1.04, CI: 1.00-1.09, P = 0.041, OR = 2.43, CI: 1.22-4.85, P = 0.011, OR = 3.84, CI:1.35-10.94, P = 0.012, OR = 5.81, CI:1.00-33.72, P = 0.050). CONCLUSIONS: In this study we showed that there is a relationship between the severity of insomnia and falls.

Integration of low muscle mass into the IPS system and its prognostic significance in patients with Hodgkin's lymphoma.

Aim: The aim of this study is to determine whether a novel prognostic score can be obtained by including low muscle mass in the international prognostic score (IPS) system. Materials & Methods: Psoas muscle areas were determined in the PET/CT scans of the patients taken for staging at the time of diagnosis and after two cycles of ABVD. After evaluating the effect of low muscle mass on overall survival, receiver operating characteristic (ROC) analyzes were performed by including it in IPS systems. Results: Overall survival was significantly lower in patients with low muscle mass. Adding low muscle mass to IPS scores increased AUC, sensitivity and specificity. Conclusion: The integration of low muscle mass into the IPS scoring systems increased the success of these systems in predicting a prognosis.

Lay abstract Hodgkin's lymphoma is a cancer that responds well to standard treatments. However, the cancer recurs 30% of the time. Improved scoring systems could help better predict the outcomes of treatment. The 'International Prognostic Score' (IPS) system is an algorithm currently used to predict the possibility of death and treatment complications. In this study, low muscle mass is evaluated as data that could be added to the current scoring system to improve the system's ability to predict outcomes. Data from the scans of patients before and after treatment were used to determine the muscle mass. It was found that survival was significantly lower in patients with low muscle mass. This suggests that this information is highly effective in predicting the outcomes of Hodgkin's lymphoma patients.

Thiol/Disulfide Balance in Older Patients with BCR-ABL Negative Myeloproliferative Neoplasms.

BACKGROUND: The trio Essential Thrombocytosis (ET), Polycythemia Vera (PV), and Primary Myelofibrosis (PM) are BCR-ABL negative myeloproliferative neoplasms. All three diseases have the risk of transforming into acute leukemia. Oxidative stress and some genetic mutations increase the risk of leukemic transformation. The median age in patients with ET, PV, and MF is around 64 years, and it is expected to exceed 65 in the coming years. Since oxidative stress increases with age, we aimed to evaluate the oxidative stress parameters in older patients with myeloproliferative neoplasms. METHODS: The study included a total of 160 patients (57 patients with Essential Thrombocytosis, 52 patients with Primary Myelofibrosis, and 51 patients with Polycythemia Vera) and 56 healthy controls, aged 65 and over. Ischemia Modified Albumin (IMA) and thiol parameters (native thiol, total thiol, and disulfide) were studied from serum samples taken at the time of diagnosis. RESULTS: The median age of the patients was 69 (65 - 85) years. Patients had higher levels of IMA and lower levels of thiol compared to the control group (p < 0.001). When evaluated according to disease subgroups, it was observed that the highest IMA levels and the lowest thiol levels were in patients with PM (p < 0.001). Higher IMA levels and lower native thiol levels were found in patients with the ASXL1 mutation (p < 0.001). CONCLUSIONS: Serum IMA and thiol levels are also significantly changed in older patients with BCR-ABL negative myeloproliferative neoplasia. Changes in these markers are independent of age. Disease-associated mutations such as ASXL1 can also affect the serum levels of these markers.

Predictive ability of the G8 screening test to determine probable sarcopenia and abnormal comprehensive geriatric assessment in older patients with solid malignancies.

BACKGROUND: Pre-treatment evaluation for sarcopenia is recommended in cancer patients. New screening tests that are less time-consuming and can identify patients who will potentially benefit from geriatric assessment are being developed; the G8 geriatric screening test is one such example. We aimed to investigate whether the G8 screening test can detect probable sarcopenia and is valid and reliable compared to a comprehensive geriatric assessment (CGA) in Turkish older adults with solid cancers. METHODS: We included solid cancer patients referred to a single center. Probable sarcopenia and abnormal CGA were defined as low handgrip strength. Cut-offs for handgrip strength in the Turkish population have been previously determined to be 32 kg for males and 22 kg for females and impairment in at least one of the CGA tests, respectively. The CGA tests comprised KATZ Basic Activities of Daily Living Scale Lawton-Brody Instrumental Activities of Daily Living Scale, Mini-Mental-State Examination Scale, Geriatric Depression Scale-15, and Mini-Nutritional Assessment Short Form. Receiver operating characteristic curve analyses evaluated the test's predictive ability. Intra-rater and inter-rater reliabilities were assessed. RESULTS: The median age of the 76 patients included was 72 (65-91) years. There was a moderate correlation between handgrip strength and the G8 test total score. The sensitivity and specificity of the G8 test to detect probable sarcopenia alone (cut off score = 12.5) were 50 and 92%, respectively (AUC: 0.747; p < 0.001); to determine abnormal CGA plus probable sarcopenia (cut off score = 13) were 93.33 and 86.89%, respectively (AUC: 0.939; p < 0.001); and to detect abnormal CGA alone (cut off score = 14) were 79.63 and 95.45%, respectively (AUC: 0.893; p < 0.001). The G8 test results agreed with those of CGA (κ = 0.638; p < 0.001). Both inter- and intra-rater assessments of G8 scores revealed a strong agreement (Interclass correlation coefficient = 0.979, p < 0.001 and ρ = 0.994, p < 0.001, respectively). CONCLUSIONS: The Turkish version of the G8 test is a good screening tool to detect probable sarcopenia alone and in conjunction with abnormal CGA in older patients with solid malignancies. The G8 screening tool may thus be useful in detecting probable sarcopenia in Turkish older adults with solid cancers.

Frailty is associated with poor sleep quality in the oldest old

Background/aim: Sleep disorders and frailty increase with advancing age, along with physical disabilities, cognitive dysfunction, mood disorders, and social vulnerability. Thus, the study objective was to evaluate the relationship between frailty and sleep quality in the oldest old patients. Materials and methods: In this study, 100 patients aged ≥80 years were assessed using comprehensive geriatric assessment (CGA) including basic activities of daily living (ADL), instrumental ADL, handgrip strength, the Geriatric Depression Scale-15, the Mini- Mental State Examination, and the Mini-Nutritional Assessment-Short Form. The sleep quality and frailty status of the patients were evaluated using the Pittsburgh Sleep Quality Index (PSQI) and the Fried Frailty Index, respectively. Results: The median age of the participants was 84 years (80­92), 55% of them were women, and 41% of them were frail. There was no statistically significant difference between the frail and nonfrail groups in terms of age, sex, and comorbidities (P > 0.050). The frail patients scored poorly according to the CGA tests when compared to the nonfrail ones (P < 0.050). The median score for the PSQI was significantly higher in the frail group, 12 points (3­19) versus 6 points (1­19) in the nonfrail patients (P < 0.001). The PSQI score (odds ratio [OR] of 1.308, 95% confidence interval [CI]: 1.092­1.566, P = 0.004), female sex (OR of 5.489, 95% CI: 1.063­28.337; P = 0.042), and the basic ADL score (OR of 0.383; 95% CI: 0.207­0.706; P = 0.002) were found to be independently associated with frailty using multivariate analysis. Conclusion: Sleep quality was significantly decreased in the oldest old frail patients compared to the nonfrail ones, and poor sleep quality was independently associated with frailty. Evaluating the sleep patterns of the oldest old patients with CGA in daily geriatric practice might help to improve the quality of life of frail patients.

Validity and reliability of the G8 screening test in older non-cancer patients.

PURPOSE: A comprehensive geriatric assessment (CGA) is a time-consuming approach that requires a special team and a screening test, whereas the G8 screening test is a practical and validated test for screening cancer patients. This study aimed to evaluate the validity and reliability of the G8 test in older patients without cancer and to investigate its concordance with CGA in an outpatient clinic. METHODS: Two hundred older patients were included in the study. CGA and G8 tests were performed, and the concordance between them was evaluated for scale validity using Spearman correlation coefficients (r) and kappa analyses. Patients who obtained scores lower than the predefined cutoff values in at least one of the CGA tests were considered to have an abnormal CGA. Inter-rater and intra-rater concordance were assessed for reliability. RESULTS: Of the 200 patients, 57.4% were female, and the median age was 73 (63-93) years. There was a strong concordance between the CGA and G8 screening test (kappa: 0.630; p < 0.001). Inter-rater and intra-rater concordance in the reliability assessments were high (kappa: 0.886; kappa: 875; p < 0.001, respectively), and inter- and intra-clinician assessments of the G8 scores revealed significant correlations (r = 0.962 and r = 0.976, respectively; p < 0.001). CONCLUSION: The G8 screening test is a valid and reliable tool for older adults without malignancy. It is a quick and practical test for physicians who frequently admit older patients.

Relationship between psychological pain and death anxiety with comprehensive geriatric assessment in older adults.

AIM: Psychological pain refers to the torment that results from adverse experiences, such as loneliness, guilt, frustration, hopelessness or loss. Psychological pain may impair physical and psychosocial functioning of older adults. Death anxiety is associated with cognitive function deterioration, change to social environment and increased risk of depression. This study investigated associations among components of comprehensive geriatric assessment (CGA), death anxiety and psychological pain. METHODS: In total, 100 patients aged ≥65 years were included in this study. Demographic characteristics and CGA test scores were examined. The Templer scale was used to evaluate death anxiety; the Psychache scale was used to evaluate psychological pain. Multivariate logistic regression analysis was performed to identify parameters independently associated with poor cognitive performance and death anxiety. RESULTS: The patients' median age was 73 (65-92) years. Death anxiety was detected in 34% of patients. Psychological pain and death anxiety levels were significantly associated with Mini-Mental State Examination, clock drawing test, Geriatric Depression Scale-15 and Instrumental Activities of Daily Living (IADL) scores. Psychological pain levels were independently associated with cognitive performance. Finally, psychological pain and IADL scores were independently associated with death anxiety. CONCLUSIONS: During a CGA, practitioners should note that psychological pain and death anxiety may negatively affect cognitive function and IADL scores. Patients should be re-evaluated, following suitable psychotherapeutic interventions. Geriatr Gerontol Int 2020; 20: 1056-1060..