The objective of this study was to validate the Turkish version of the Quick Mild Cognitive Impairment (Qmci-TR) screen. In total, 100 patients aged ≥65 years referred to a geriatric outpatient clinic with memory loss were included. The Qmci was compared to the Turkish versions of the standardized Mini-Mental State Examination and the Montreal Cognitive Assessment (MoCA). The Qmci-TR had higher accuracy than the MoCA in discriminating subjective memory complaints (SMCs) from cognitive impairment (mild cognitive impairment [MCI] or dementia), of borderline significance after adjusting for age and education (P = .06). The Qmci-TR also had higher accuracy than the MoCA in differentiating MCI from SMC, which became nonsignificant after adjustment (P = .15). A similar pattern was shown for distinguishing MCI from dementia. Test reliability for the Qmci-TR was strong. The Qmci-TR is a reliable and useful screening tool for discriminating MCI from SMC and dementia in a Turkish population.

Background: This study aims to compare the predictive value of all comprehensive geriatric assessment (CGA) parameters with the predictive value of frailty assessment (with Edmonton Frailty Scale (EFS) and Fried Frailty Index (FFI)) for long-term mortality, in older adults. Methods: A total of 967 patients were included, consecutively. At the first admission, age, gender, comorbidities, number of drugs, and laboratory values of the patients were recorded. Each patient underwent CGA which consisted of anthropometric measurements, functional, cognitive, mood, nutritional, gait, fall, sleep duration, and frailty assessment. Fifty-seven months after the first admission, CGA parameters were analyzed to determine their predictive abilities on long-term mortality due to all causes, comparatively. Results: The median age was 73 years (range 65–94 years). The median follow-up time was 39.9 months (range 0.5–57.3 months). Serum albumin level, FFI, EFS, instrumental activity of daily living (IADL) score, and walking time were the best predictors of mortality. There was no significant difference between these parameters in predicting mortality. Conclusion: FFI and EFS have similar predictive value for mortality. In busy clinical practice, a new index based on IADL, walking time, and serum albumin level may be an alternative of frailty assessment for predicting mortality.