Assessment of phase angle as a novel indicator for sarcopenic obesity according to the ESPEN/EASO criteria in older adults with diabetes mellitus.

BACKGROUND: Sarcopenic obesity (SO) is a clinical condition in which sarcopenia and obesity occur together, and is associated with more poor clinical outcomes, increased mortality, and morbidity than sarcopenia. Phase angle (PhA), a parameter derived from bioimpedance analysis (BIA), provides data on cellular health, membrane integrity, and cellular function. This study aimed to evaluate the relationship between SO and PhA among older adults with type 2 diabetes mellitus (DM). METHODS: We performed a cross-sectional study in a tertiary hospital, and all participants underwent a comprehensive geriatric assessment, the hand-grip strength test (HGST), the chair stand test (CST) for muscle strength evaluation, the 4-meter walking test, and the timed up-and-go (TUG) test for physical performance assessment. The diagnosis of SO was made according to the ESPEN/EASO criteria. The PhA was determined automatically by the BIA using resistance and reactance at 50 kHz for each participant. RESULTS: A total of 322 participants were included in the study. The mean age of the participants was 72.5 ±5.8, and 203 (63%) of them were female; 63 (19.6%) of them were sarcopenic obese. In multivariable logistic regression analyses, a significant relationship was found when the model was adjusted for age, female gender, MNA-sf scores, HbA1c level, and CCI scores (OR: 0.53, 95%CI: 0.29-0.98, P = 0.04). In ROC analyses, for PhA in predicting SO diagnosis, the AUC was 0.586 (95%CI: 0.505-0.678, P = 0.033). At the cut-off score 4.4, sensitivity was 57.1% and specificity was 61.4%; positive predictive value (PPV) was 26.5%; negative predictive value (NPV) was 85.5%. CONCLUSIONS: The study identified a significant relationship between SO and PhA among older adults with type 2 DM. However, larger prospective studies are needed to confirm the potential utility of PhA as a biomarker for SO.

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.

Decreased abdominal wall muscle mass defined by muscle ultrasound is associated with malnutrition according to Global Leadership Initiative on Malnutrition criteria in renal transplant recipients: A cross-sectional study.

BACKGROUND: Changed body composition with increased fat content and decreased muscle mass is seen in renal transplantation recipients (RTRs). Increased fat mass might mask underlying muscle mass loss; measuring low body mass index and weight reduction alone may not be sensitive enough to diagnose malnutrition in RTRs. We aimed to determine the prevalence of malnutrition in stable RTRs using the Global Leadership Initiative on Malnutrition (GLIM) criteria and to assess the use of muscle ultrasonography (US) to compare the performance of various muscle US measurements in the diagnosis of reduced muscle mass. METHODS: Ninety-one patients who had renal transplantation >6 months ago were enrolled in the study. GLIM criteria were performed for all patients, but not those at risk of malnutrition. Bioelectrical impedance analysis and muscle US were performed to identify reduced muscle mass. RESULTS: The prevalence of malnutrition according to GLIM criteria was 25.3% (n = 23). All muscle US measurements were lower in the malnourished group than the well-nourished group; however, the malnourished group had substantially lower muscle thicknesses in abdominal muscles, specifically the external oblique (EO) and internal oblique (IO) muscles, than the well-nourished group (P = 0.001 and P = 0.007, respectively). There was a significant association between malnutrition and EO (odds ratio [OR] = 0.338, 95% CI = 0.163-0.699; P = 0.003) and IO (OR = 0.620, 95% CI = 0.427-0.900; P = 0.012) regardless of age and sex. CONCLUSION: One in four RTRs experience malnutrition. Muscle US could be used effectively for the diagnosis of reduced muscle mass and malnutrition in RTRs according to GLIM criteria.

Calf circumference predicts sarcopenia in maintenance hemodialysis.

BACKGROUND: Early recognition of sarcopenia in hemodialysis (HD) patients will be of great importance in preventing adverse outcomes and improving the quality of life in these patients. The main goal of this study was to evaluate the diagnostic accuracy of calf circumference (CC) measurement in detecting sarcopenia among CKD patients undergoing maintenance HD. METHODS: This cross-sectional study included 52 patients (53 ± 17 years) who were currently in a maintenance HD. Muscle strength was evaluated using handgrip strength, and smooth muscle mass index (SMI) was assessed through bioelectrical impedance analysis, and CC was measured at the widest part of the calf with the foot pressed against a hard surface. RESULTS: Out of the total patient population, sarcopenia was identified in 32.7% (n = 17). The two groups were comparable in terms of age, weight, and height, but the median body mass index of sarcopenic group was statistically lower than nonsarcopenic group (21.6 kg/m2 [18.9-24.6] vs 24.7 kg/m2 [21.4-27.3]. The sarcopenic group had a substantially smaller CC than the nonsarcopenic group (30.0 cm [26.5-32.0] vs 31.5 cm [30.3-34.8], P = 0.013; respectively). In the regression analysis, CC was found to be independently associated with post-HD SMI (P < 0.001; odds ratio, 1.938; and 95% CI, 1.020-2.856). CC was positively but weakly correlated with handgrip strength, however strong and significant correlation was found between CC and SMI (r = 0.277, P = 0.047 and r = 0.733, P < 0.001; respectively). A CC of 31 cm or less predicted confirmed sarcopenia in HD patients (area under the curve = 0.709, P = 0.006, specificity = 0.556, sensitivity = 0.765). CONCLUSIONS: Low muscle mass and potentially low muscle strength in HD patients can be accurately identified through the use of CC measurements. Specifically, a CC measurement below 31 cm has found to be a useful indicator to identify individuals on maintenance HD.

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.

The Role of Muscle Ultrasonography to Diagnose Malnutrition and Sarcopenia in Maintenance Hemodialysis.

BACKGROUND: Sarcopenia and malnutrition are commonly seen and fundamental indicators of prognosis and are directly associated with increased mortality in maintenance hemodialysis (MHD) patients. We aimed to reveal the frequency of malnutrition and sarcopenia in patients undergoing MHD and investigate the role of muscle ultrasound (US) parameters to predict sarcopenia and malnutrition. METHODS: A total of 45 patients who have undertaken MHD for more than 6 months three times a week were evaluated for the present study. The US measurement was performed on gastrocnemius medialis, rectus femoris (RF), and abdominal muscles, including rectus abdominis, external oblique abdominalis, internal oblique abdominalis, and transversus abdominis. Nutritional status of the participants was assessed by mini-nutritional assessment short-form (MNA-SF). RESULTS: The prevalence of probable and confirmed sarcopenia was 51.1% (n = 23) and 35.6% (n = 16), respectively. The malnutrition and risk of malnutrition were observed in 31.1% of the whole study population (n = 14). All muscle US measurements were lower in the sarcopenic group; however, the difference is meaningful only for RF cross-sectional area (CSA) (P = .046). The malnourished group had substantially lower muscle thickness and CSA, except for the gastrocnemius muscle thickness. The value of RFCSA to predict sarcopenia and malnutrition was observed as 4.61 cm2, respectively (P < .05). RFCSA was independently associated with sarcopenia (odds ratio: 0.37; 95% confidence interval: 0.17-0.79; P = .011) and malnutrition (odds ratio: 0.45; 95% confidence interval: 0.23-0.87; P = .017). CONCLUSION: RFCSA may be a useful and simple predictor for predicting patients undergoing hemodialysis who are at risk of sarcopenia and malnutrition.

Lower gastrocnemius muscle stiffness, derived from elastography, is an independent factor for falls in older adults.

BACKGROUND AND AIMS: It is well known that components of sarcopenia (i.e., decreased muscle strength and mass) are related to falls in older adults. However, the possible effects of changes in muscle quality on falls have not been identified. This study aimed to evaluate the changes in muscle quality reflected by muscle stiffness derived from shear-wave elastography (SWE) and its association with falls in older adults. METHODS: A total of 101 geriatric outpatients were included in the study. Assessments of physical performance, muscle strength (handgrip strength), muscle mass (muscle ultrasonography and bioelectrical impedance analysis), and muscle stiffness of the medial head of gastrocnemius (GCM) in relaxation and passive stretching were performed. The history of falls in the previous year was questioned and recorded. RESULTS: The median (25-75 percentiles) age of participants was 73 (69-77) years, and 66.3% (n = 67) were female. According to fall history, participants were divided into non-fallers and fallers groups, and 72 (71.3%) and 29 (28.7%) participants were in each group, respectively. The median muscle stiffness of (Emean) the GCM in passive stretching was significantly lower in the fallers group (p < 0.001), and it was significantly correlated with the number of falls in the previous year (r: - 0.274, p: 0.010). In regression analyses, the Emean value of GCM in passive stretching was significantly associated with falls independent of confounders (OR: 0.944, 95% CI 0.90-0.98, p = 0.010). DISCUSSION AND CONCLUSION: This is the first study to reveal the relationship between falls and SWE-defined lower GCM stiffness independently of muscle mass and strength.

Cutoff values for appendicular skeletal muscle mass using dual-energy x-ray absorptiometry in a reference group of Turkish adults.

BACKGROUND: The aim of this study is to determine cutoff values for different appendicular skeletal muscle mass index (ASMI) methods measured by dual-energy x-ray absorptiometry (DXA) in a reference group of the Turkish population. METHODS: Body composition analyses were performed with DXA, and appendicular skeletal muscle mass (ASM) was adjusted to body size as ASMI using height squared (ASM/ht2 ), weight (ASM/wt), and body mass index (BMI) (ASM/BMI). Sex-specific cutoff values were obtained as 1 and 2 standard deviations (SDs) below the mean values of ASM/ht2 , ASM/wt, and ASM/BMI. RESULTS: A total of 207 (106 women and 101 men) healthy adults were enrolled. Sex-specific cutoff values based on 1 SD below the mean values of ASM, ASM/ht2 , ASM/BMI, and ASM/wt were 14.44, 5.45, 0.61, and 24.07 in women and 22.63, 7.22, 0.90, and 29.04 in men, respectively; 2 SDs below the mean values of ASM, ASM/ht2 , ASM/BMI, and ASM/wt were 11.96, 4.65, 0.51, and 21.75 in women and 19.26, 6.40, 0.78, and 26.55 in men, respectively. ASM, ASM/BMI, ASM/ht2 , and ASM/wt were statistically significant positively correlated with handgrip strength (r = 0.81, r = 0.78, r = 0.73, and r = 0.67, respectively; P < 0.001). CONCLUSION: In this study, ASM/BMI was found to be the most suitable ASM adjustment method to predict muscle strength.

Phase angle is associated with frailty in community-dwelling older adults.

OBJECTIVES: Frailty is a geriatric syndrome associated with adverse outcomes. Malnutrition and sarcopenia are conditions intertwined with frailty. Phase angle (PhA), used to evaluate nutritional status and sarcopenia, shows the cell membrane integrity and is closely related to clinical outcomes and mortality in many chronic conditions. The aim of this study was to evaluate the relationship between PhA and frailty in community-dwelling older adults. METHODS: The study included 299 older adults admitted to a geriatric outpatient clinic. A comprehensive geriatric assessment was performed on all participants. Frailty was evaluated via the Clinical Frailty Scale, ≥4 levels were accepted as living with frailty. All participants underwent bioelectrical impedance analysis, and PhA was recorded for each participant. RESULTS: The prevalence of frailty among the participants was 53%. The median PhA was lower in patients living with frailty than in those who were robust (5.10 [4.55-7.80] and 5.90 [3.90-6.90] degrees, respectively, and P = 0.014). Multivariable regression analysis showed that PhA was also associated with frailty in both sexes (odds ratio [OR], 0.920; P = 0.034 for men; OR, 0.81; P = 0.005 for women, respectively) independent of age, handgrip strength, nutritional status, body mass index, living alone, and burden of morbidities. CONCLUSION: PhA calculated with bioelectrical impedance analysis was significantly associated with frailty. Further research with large samples is needed to determine whether PhA demonstrates potential utility as a biomarker for frailty.

Prevalence of nutrition disorders and nutrition-related conditions in older patients with Alzheimer's disease.

BACKGROUNDS: Alzheimer's disease is frequently encountered with nutrition-related conditions such as malnutrition, sarcopenia, frailty, overnutrition, and micronutrient abnormalities in older patients. In this study, we aimed to evaluate the prevalence of nutrition disorders and nutrition-related conditions in the same patient group. METHODS: A total of 253 older patients with Alzheimer's disease underwent comprehensive geriatric assessment, which included nutrition-related disorders, malnutrition via the Mini Nutritional Assessment-Short Form (MNA-SF), frailty via the Clinical Frailty Scale (CFS), and sarcopenia was diagnosed according to European Working Group on Sarcopenia in Older People-2 criteria. RESULTS: The patients' mean age was 79.8 ± 6.5 years, and 58.1% were women. In our patients, 64.8% had malnutrition or were at risk of malnutrition; 38.3% had sarcopenia; 19.8% were prefrail; and 80.2% were frail. Malnutrition, frailty, and sarcopenia prevalence increased as the Alzheimer's disease stage progressed. Malnutrition was found to be significantly related with frailty scores via CFS (odds ratio [OR], 1.397; P = 0.0049) and muscle mass via fat-free mass index (FFMI) (OR, 0.793; P = 0.001). In logistic regression analysis, age, MNA-SF, and CFS were included in the model to detect the independent correlates of probable and confirmed sarcopenia. CFS was independently associated with probable and confirmed sarcopenia (OR, 1.822; P = 0.013; OR, 2.671; P = 0.001, respectively). Frailty was similarly related with FFMI (OR, 0.836; P = 0.031). Obesity was independently related with FFMI (OR, 0.688; P < 0.001). CONCLUSION: In conclusion, nutrition disorders and nutrition-related conditions can present concurrently in patients with all stages of Alzheimer's disease; therefore, these frequent problems should be screened and diagnosed accordingly.

Predictors of 3-month mortality with muscle ultrasound and palliative prognostic tools among patients admitted to palliative care units.

BACKGROUND/AIMS: Prognostic factors are an important issue in progressive and life-limiting diseases. This study evaluate 3-month mortality in patients admitted to the palliative care unit (PCU). METHODS: In this study, the patient's demographics, comorbidities, nutritional status, and laboratory values were recorded. The palliative performance scale (PPS), the palliative prognostic index (PPI), and the palliative prognostic (PaP) score were calculated. The rectus femoris (RF) cross-sectional area (CSA), RF muscle thickness, gastrocnemius (GC) medialis muscle thickness, pennation angle and fascicle length of the GC were measured by ultrasound for survival prediction. RESULTS: A total of 88 patients enrolled during the study period, with a mean age of 73.6 ± 13.3 years and a 3-month mortality rate of 59.1%. The findings of a multivariable Cox proportional hazards regression model based on age, gender, C-reactive protein level and Nutrition Risk Screening 2002 scores as covariates revealed the PPI and the PaP score to be significant predictors of 3-month mortality. In addition, in the unadjusted Cox proportional hazard regression analysis, the CSA of the RF muscle was also found to be a significant predictor of 3-month mortality. CONCLUSION: Findings revealed that the combined use of the CSA of the RF, the PPI, and the PaP score are reliable predictors of mortality in patients admitted to the PCU.

Changes in muscle quality identified by shear-wave elastography and association with sarcopenia.

BACKGROUND AND AIMS: This study aimed to investigate the potential role of shear-wave elastography (SWE) in evaluating muscle quality and assess its association with muscle strength and mass. METHODS: A total of 129 patients aged 18-87 years were included. Patients aged >65 years underwent comprehensive geriatric assessment. Anthropometric measurements, assessment of physical performance, muscle strength (handgrip strength [HGS]), muscle mass (B-mode muscle ultrasonography), and muscle quality (identified via SWE) were performed for all patients. RESULTS: The median (interquartile range) age of participants was 69 (59-76) years and 62% (n = 80) were female. According to HGS, patients were divided into normal and low HGS groups, and there were 85 (65.9%) and 44 (34.1%) patients in each group, respectively. The median average value of SWE measurement (Vmean ) of the rectus femoris (RF) in passive stretching was significantly lower in the low HGS group. In regression analyses, Vmean was significantly associated with HGS independently of age, sex, and body mass index. Optimal cutoff values of the Vmean value (m/s) of RF in passive stretching for predicting low HGS were ≤2.62 for male (area under the curve [AUC], 0.882; 95% CI, 0.705-0.938; P = <0.0001), and ≤2.52 for female (AUC, 0.719; 95% CI, 0.605-0.833; P = 0.002). CONCLUSION: To the best of our knowledge, this is the first study revealing SWE is a good predictor of muscle strength, and it could be a useful tool for evaluating muscle quality in clinical practice. Further randomized controlled studies are needed to confirm the presented cutoff values.

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.

Cognitive Status is Better in Older Adults under Colchicine Treatment: A Case-Control Study.

PURPOSE: We aimed to investigate the effects of colchicine, an important anti-inflammatory agent, on cognitive functions in a geriatric population diagnosed with gout or osteoarthritis by comparing it to non-colchicine users. METHODS: 138 geriatric patients (67 colchicine users and 71 non-users) were enrolled. Within comprehensive geriatric assessment (CGA), cognitive status assessment via Mini-Mental State Examination test (MMSE), Quick Mild Cognitive Impairment Screening test (Qmci), clock drowning test (CDT), and digit span tests were performed. RESULTS: Median age was 68 (65-72), and there were 82 female (59.4%) patients. The scores of CDT, Backward Digit Span Test, MMSE-Total, MMSE-Attention, MMSE-Motor Function, Qmci-Total Score, Qmci-Clock drawing, and Qmci-Logical Memory were significantly higher in the colchicine user group (p < .005), showing better cognitive function. Adjusted model analysis showed that colchicine usage is independently correlated with higher Qmci-Total Score and Qmci-Logical Memory Score (For Qmci total score ß = 7.87 95%CI = 5.48-10.27, p = <0.0001, and for Qmci Logical memory score ß = 3.52, 95%CI = 2.12-4.91, p = <0.0001). CONCLUSION: To the best of our knowledge, this is the first study revealing that colchicine usage is associated with better cognitive performance in older adults. Further investigations with a prospective, larger-sampled and randomized design are needed to show the causal relationship between colchicine and cognition.

Ultrasonografically assessed osteosarcopenic obesity is associated with frailty in community-dwelling older adults.

OBJECTIVES: Osteosarcopenic obesity (OSO; also known as adiposity) is the combination of three critical conditions. This study aimed to define OSO using muscle ultrasonography (US), and examine the relationship between OSO and frailty compared with its constituent components. METHODS: A total of160 geriatric patients with a body mass index of ≥30 were enrolled in the study. We obtained US measurements of the rectus femoris thickness and cross-sectional area (RFCSA). OSO was defined as the combination of low muscle function (defined by handgrip strength <27 kg in men and <16 kg in women), low muscle mass (RFCSA ≤5.22 cm2), and the clinical diagnosis of osteoporosis. The modified Fried Frailty Index and Clinical Frailty Scale were used to identify frailty. RESULTS: The median age of participants was 72 y, and 83% (n = 137) were female. Patients were divided into four categories: Obese (n = 72; 43.6%), osteoporotic obese (n = 44; 26.7%), sarcopenic obese (n = 19; 11.5%), and osteosarcopenic obese (n = 25; 15.2%). In the subgroup analysis, the prevalence of frailty was significantly higher in the OSO group than in the other groups on both frailty scales (P < 0.05). The regression analysis showed that OSO significantly increased frailty status when adjusted for confounders detailed in Table 1 (Fried Frailty Index: odds ratio: 5.10; 95% confidence interval, 1.669-15.132; P = 0.004; Clinical Frailty Scale: odds ratio: 3.765; 95% confidence interval, 1.236-11.465; P = 0.020). CONCLUSIONS: US-defined OSO is strongly associated with frailty in older adults according to the first study to define OSO using RFCSA measures.

A Quality Improvement Study on Delirium Awareness Day: In Pursuit of Missed Delirium Diagnoses.

The current study aimed to screen for delirium in hospitalized older adults and assess the validity of the Turkish version of the 4A's Test (4AT-TR) as a feasible tool to integrate in routine patient care. The point prevalence of delirium according to clinical evaluation in routine practice was detected among all patients aged ≥60 years in 12 pilot wards. Delirium screening was then conducted by two arms: (a) nurses using the 4AT-TR and (b) geriatricians according to Diagnostic and Statistical Manual of Mental Disorders, 5th edition (DSM-5) criteria. Prevalence of delirium according to clinical impression was 3.3% (n = 4), whereas prevalence was 12.4% (n = 17) according to DSM-5 criteria and 13.8% (n = 17) according to the 4AT-TR. The 4AT-TR performed by nurses had a sensitivity of 66.6% and specificity of 93.5%. Area under the receiver operating characteristic curve for delirium diagnosis was 0.819 (p < 0.001). Most delirium cases remain undetected unless a routine and formal delirium assessment is integrated in hospital care of high-risk patients. The 4AT-TR performed by nurses seems to be a valid tool for determining delirium in hospitalized older adults. [Journal of Gerontological Nursing, 48(8), 43-51.].

Comparison of Mini Nutritional Assessment-Short and Long Form to predict all-cause mortality up to 7 years in geriatric outpatients.

BACKGROUND: We aimed to find out whether the Mini Nutritional Assessment-Short Form (MNA-SF) can predict mortality up to 7 years when compared with the Mini Nutritional Assessment-Long Form (MNA-LF) in geriatric outpatients. METHODS: This retrospective study was conducted in patients (≥65 years) who were admitted to the geriatric outpatient clinic of a university hospital. MNA-SF and MNA-LF results were available for all patients. Patients were grouped as normal nutrition status (score 12-14), at risk of malnutrition (score between 8 and 11), or malnourished (score ≤7) according to MNA-SF. Based on MNA-LF, patients had normal nutrition status (score ≥24), were at risk of malnutrition (score 17-23.5), or were malnourished (score <17). Survival of the patients was assessed retrospectively. RESULTS: The study included 209 patients (62.2% female). During the 7-year follow-up, 77 (36.8%) patients died. After adjusting for age, sex, and Charlson comorbidity index, MNA-SF was significantly associated with all-cause mortality during 6-month, 1-year, 3-year, 5-year, and 7-year follow-up time. MNA-LF was superior to MNA-SF to estimate 6-month (P = 0.004) and 1-year mortality (P = 0.031). There was no difference between MNA-SF and MNA-LF regarding 3-year, 5-year, and 7-year mortality. CONCLUSION: MNA-SF can predict short-term and long-term mortality in geriatric outpatients as well as MNA-LF. A cut-off value of 11, indicating risk of malnutrition according to MNA-SF, may be used for the risk estimation of 1-year, 3-year, and 5-year mortality. Therefore, this study highlights the importance of screening all geriatric outpatients for malnutrition and especially the risk of malnutrition for early intervention and treatment.

The role of muscle ultrasound to predict sarcopenia.

OBJECTIVES: This study aimed to provide data about the role of muscle ultrasound (US) to predict sarcopenia. METHODS: A total of 313 geriatric outpatients (age ≥65 y) were enrolled in the study. After a comprehensive geriatric assessment, anthropometric measurement and handgrip strength (HGS) data were obtained and a bioelectrical impedance analysis was performed. Sarcopenia was diagnosed using HGS and bioelectrical impedance analysis data. Gastrocnemius medialis (GC), rectus femoris (RF), and rectus abdominis (RA) muscle thickness as well as the RF cross-sectional area (CSA) were measured with US. The role of muscle US to predict sarcopenia was defined with a receiver operating characteristics analysis. RESULTS: The prevalence of probable and confirmed sarcopenia were 43.8% (n = 137) and 13.4% (n = 42), respectively. All muscle US parameters had positive correlations with both HGS and the fat-free mass index. There were inverse correlations between all muscle US parameters and the five-item sarcopenia questionnaire. The RF CSA had stronger correlations with the five-item sarcopenia questionnaire, HGS, and the fat-free mass index than others. The values of GC, RF, and RA muscle thickness and the RF CSA to predict sarcopenia for women/men were 13.9/13.8 mm (area under the curve [AUC]: 0.817/0.707 mm), 13/15.5 mm (AUC: 0.760/0.736 mm), 4.3/5.2 cm2 (AUC: 0.766/0.773 cm2), and 6.6/7.0 mm (AUC: 0.740/0.688 mm), respectively. CONCLUSIONS: GC, RF, and RA muscle thickness and the RF CSA all may predict sarcopenia accurately in geriatric outpatients.

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.

Clinical significance of concomitant extrahepatic autoimmune disease in patients with autoimmune liver disease.

Background and Aim: This study aimed to determine the presence of concomitant extrahepatic autoimmune disease (EAD) in patients with autoimmune liver disease (ALD) and the efficacy of the treatment response of ALD with the presence of any EAD. Materials and Methods: Between January 2001 and November 2017, 241 patients with ALD were included in the study. Results: Of the 241 patients, 88, 134, and 19 had autoimmune hepatitis (AIH), primary biliary cholangitis (PBC), and overlap syndrome (OS), respectively. Thirty-one patients had cirrhosis: 77% and 23% had compensated and decompensated disease, respectively. The presence of at least one EAD was defined in 38.6% of the patients with ALD (n=93), and 12% of them had ≥1 EAD. EAD was most commonly seen in patients with OS and PBC compared with those with AIH (p=0.036). Autoimmune thyroid disease was the most common association (20%), followed by Sjogren syndrome (12.0%). At the end of the follow-up period, 165 patients (72%) had biochemical response. The presence of EAD did not affect the biochemical response. Conclusion: EAD is most frequently seen in patients with ALD. The presence of EAD is not associated with the treatment response.