Predictive value of adductor pollicis muscle thickness for ultrasound-based sarcopenia in older adults.

BACKGROUND: The adductor pollicis muscle thickness (APMT) is least affected by subcutaneous adipose tissue and can be measured externally. The aim of this study is to identify the predictive value of APMT for the diagnosis of ultrasonography-based sarcopenia. METHODS: A total of 245 outpatients who were aged ≥65 years (49 with sarcopenia and 196 without sarcopenia) were included in this cross-sectional study. Patients with knee or hip replacement, advanced dementia, cerebrovascular disease, neurodegenerative disease, or decompensated heart failure and those using drugs that affect muscle functions, such as steroids, were excluded. Comprehensive geriatric assessments and anthropometric measurements of the patients were performed. APMT was assessed with a skinfold caliper. The diagnosis of sarcopenia was based on a low Sonographic Thigh Adjustment Ratio (STAR) index (anterior thigh muscle thickness by ultrasonography/body mass index [BMI] ratio, cutoff points are <1.4 for men and <1.0 for women) and low handgrip strength. The predictive ability of APMT for ultrasound-based sarcopenia diagnosis was examined. RESULTS: There was no significant difference in terms of arm and calf circumference and BMI between the sarcopenic and nonsarcopenic groups. APMT, handgrip strength, anterior thigh muscle thickness, and gait speed were significantly lower in the patients with sarcopenia. The best cutoff points of APMT for sarcopenia were ≤16.5 for women and ≤21.5 for men with areas under the curve of 0.70 and 0.66, respectively, and negative predictive values of 91.2 and 94.3, respectively (P < 0.001). CONCLUSION: APMT can be a useful anthropometric marker for ultrasound-based sarcopenia diagnosis.

Comparison of the Accuracy of Short Cognitive Screens Among Adults With Cognitive Complaints in Turkey.

BACKGROUND: Cutoff values of cognitive screen tests vary according to age and educational levels. OBJECTIVE: The objective of this study was to compare the accuracy and determine cutoffs for 3 short cognitive screening instruments: the Mini-Mental State Examination, Montreal Cognitive Assessment (MoCA), and Quick Mild Cognitive Impairment Screen-Turkish version (Qmci-TR), in older adults with low literacy in Turkey. METHODS: In all 321 patients, 133 with subjective cognitive complaints (SCC), 88 amnestic-type mild cognitive impairment (aMCI), and 100 with probable Alzheimer disease (AD) with a median of 5 years education were included. Education and age-specific cutoffs were determined. RESULTS: For the overall population, the Qmci-TR was more accurate than the MoCA in distinguishing between aMCI and AD (area under the curve=0.83 vs. 0.76, P=0.004) and the Qmci-TR and Mini-Mental State Examination were superior to the MoCA in discriminating SCC from aMCI and AD. All instruments had similar accuracy among those with low literacy (primary school and lower educational level or illiterate). CONCLUSIONS: To distinguish between SCC, aMCI, and AD in a sample of older Turkish adults, the Qmci-TR may be preferable. In very low literacy, the choice of the instrument appears less important.