The role of thiol-disulfide homeostasis and ischemia-modified albumin in osteosarcopenia.

BACKGROUND: Oxidative stress results from an imbalance between the induction of reactive oxygen species and the ability of cells to metabolize them. Numerous markers can be used to assess the level of oxidative stress. Thiol-disulfide homeostasis (TDH) and ischemia-modified albumin (IMA) are some of them. The aim of this study is to investigate the role of TDH and IMA, which are indicators of oxidative stress, in older patients with osteosarcopenia (OS). METHODS: The study was conducted cross-sectionally in a geriatrics outpatient clinic. Patients who applied to the outpatient clinic for three months were included in the study. Patients with acute infection, delirium, malignancy, severe liver, heart or kidney dysfunction and who did not give their consent for the study were excluded from the study. The study was conducted with 136 patients. Sarcopenia was diagnosed according to muscle ultrasonography (USG) and handgrip strength (HGS) results. Osteopenia/osteoporosis was diagnosed according to bone mineral densitometry (BMD) results. The combination of osteopenia/osteoporosis and sarcopenia was accepted as OS. RESULTS: Native thiol, total thiol value and nativethiol /totalthiol*100 values were significantly lower in the group with OS (respectively; value = 265 ± 53.8 standard deviation (SD) µmol/L, p = ≤ 0.001; value = 295.33 ± 55.77 SD µmol/L, p = 0.001; value = 90.06 (2.8) interquartile ranges (IQR), p = 0.033). Disulfide/native thiol*100 and disulfide/total thiol*100 values were significantly higher in the group with OS (respectively; value = 5.5 (1.7) IQR, p = 0.033; value = 4.97 (1.4) IQR, p = 0.034). CONCLUSION: In our study, the role of oxidative stress in OS was demonstrated by using TDH as an oxidative stress parameter.

Physical frailty is related to oxidative stress through thiol/disulfide homeostasis parameters.

AIM: To evaluate relationship between frailty and oxidative stress through thiol/disulfide homeostasis parameters [Native thiol (NT), total thiol (TT), and disulfide levels (D), disulfide-native thiol (D/NT), disulfide-total thiol (D/TT), native thiol-total thiol (NT/TT) ratios, and ischemia-modified albumin levels (IMA)]. MATERIALS AND METHODS: In total, 139 community-dwelling older adults were included. The frailty status, defined by the FRIED frailty index (FFI) and Clinical Frailty Scale (CFS), and comprehensive geriatric assessment results compared with thiol/disulfide homeostasis parameters and ischemia-modified albumin levels. RESULTS: NT and TT levels were significantly lower in the frail group (respectively; p = 0.014, p = 0.020). The FFI scores were correlated with the levels of NT, TT, D/NT, D/TT, and NT/TT (respectively; r = - 0.25, r = - 0.24, r = 0.17, r = 0.17, r = - 0.17). The significant correlation could not be retained with the CFS scores. In ROC analysis, the AUC for NT was calculated as 0.639 in diagnosing frailty according to the FFI (95% CI 0.542-0.737), AUC was 0.638 for TT (95% CI 0.540-0.735), and AUC was 0.610 for NT/TT (95% CI 0.511-0.780). The AUC was calculated as 0.610 for both D/NT and D/TT in diagnosing physical frailty (95% CI 0.511-0.708). CONCLUSION: Thiol/disulfide homeostasis parameters can be a potential biomarker in diagnosing physical frailty. However, further studies are needed for diagnosing frailty defined with cumulative deficit models.

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.

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.

Frequency and Risk Factors of Re-hospitalization in Geriatric Inpatient Wards: A Multicenter Retrospective Analysis.

PURPOSE: We aimed to evaluate frequency and risk factors of re-hospitalization which are not stated in comorbidity indexes in geriatric wards. METHODS: A total of 585 patients who were admitted to tertiary care geriatric inpatient clinics at least once between 1 September 2017 and 1 September 2018 and who survived to discharge during initial hospitalization were included in this cross-sectional retrospective multicenter study. RESULTS: Overall, 507(86.7%) patients were hospitalized once for treatment during the study period, while re-hospitalization occurred in 78(13.3%) patients. Rates of previous surgery (10.3 vs. 3.0%, p = .006), urinary incontinence (UI) (50.0 vs. 36.3%, p = .021), controlled hypertension (64.1 vs. 46.4%, p = .024), malnutrition (55.1 vs. 29.6%, p = .014) were significantly higher in re-hospitalized patients. Re-hospitalized patients were younger (mean ± SD 76.4 ± 8.3 vs. 79.6 ± 7.9 years, p = .002) than once-hospitalized patients. Multivariate logistic regression analysis revealed the younger patient age (OR, 0.942, 95% CI 0.910 to 0.976, p = .001), higher Modified Charlson Comorbidity Index (MCCI) score (OR, 1.368, 95% CI 1.170 to 1.600, p < .001) to significantly predict the increased risk of re-hospitalization. CONCLUSIONS: Our findings showed that previous history of surgery and geriatric syndromes such as UI, malnutrition were determined to significantly predict the increased risk of re-hospitalization. We suggest that these risk factors be added to prognostic tools designed for elderly patients.

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.

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.

Insomnia and falls in older adults: are they linked to executive dysfunction?

BACKGROUND: Insomnia increases the incidence of falls and impairs executive function. Moreover, falls are associated with executive function impairment. The relationship between falls and executive function in patients with insomnia is not clear. The aim of this study was to evaluate relationship between falls and executive function in individuals with insomnia and a control group. METHODS: This study involved 122 patients (47 insomnia, 75 controls). The Mini-Mental State Examination, Quick Mild Cognitive Impairment Screen, Trail Making Test A, clock-drawing test, and digit span test were used to measure executive function. Semantic and working memory dual task was also performed. Fall history was recorded and the Falls Efficacy Scale - International administered. RESULTS: The median age of the patients was 71 years (range: 65-89 years), and 60.7% were women. The insomnia group scored lower on the three-word recall than the control group (P = 0.005), but there was no difference between the groups on cognitive tests. Fall history and fear of falling were more frequent in the insomnia group (P = 0.003, P < 0.001). Semantic and working memory dual tasks were correlated with clock-drawing test only in the insomnia group (r = -0.316, P = 0.031; r = -0.319, P = 0.029). Depression (odds ratio (OR) = 9.65, P = 0.001) and Trail Making Test A (OR = 1.025, P = 0.07) were independently associated with insomnia. Four-metre walking speed (OR = 2.342, P = 0.025), insomnia (OR = 3.453; P = 0.028), and the semantic memory dual task (OR = 1.589; P = 0.025) were also independently associated with falls. CONCLUSION: Our study showed that dual tasking and executive function are related to falls in patients with insomnia. Managing insomnia and assessment of executive dysfunction may have beneficial effects on preventing falls.

Older Adults With Coronavirus Disease 2019: A Nationwide Study in Turkey.

BACKGROUND: A novel coronavirus (severe acute respiratory syndrome coronavirus 2 [SARS-CoV-2]) occurred in China in December 2019 and has spread globally. In this study, we aimed to describe the clinical characteristics and outcomes of hospitalized older adults with coronavirus disease 2019 (COVID-19) in Turkey. METHODS: We retrospectively analyzed the clinical data of hospitalized patients aged ≥ 60 years with confirmed COVID-19 from March 11, 2020 to May 27, 2020 using nationwide health database. RESULTS: In this nationwide cohort, a total of 16,942 hospitalized older adults with COVID-19 were enrolled, of whom 8,635 (51%) were women. Mean age was 71.2 ± 8.5 years, ranging from 60 to 113 years. Mortality rate before and after curfew was statistically different (32.2% vs. 17.9%; p < .001, respectively). Through multivariate analysis of the causes of death in older patients, we found that male gender, diabetes mellitus, heart failure, dementia, were all significantly associated with mortality in entire cohort. In addition to abovementioned risk factors, in patients aged between 60 and 79 years, hypertension, chronic kidney disease and cancer and in patients 80 years of age and older malnutrition were also associated with increased risk of mortality. CONCLUSIONS: In addition to the results of previous studies with smaller sample size, our results confirmed the age-related relationship between specific comorbidities and COVID-19-related mortality.