A Fully Automated Mini-Mental State Examination Assessment Model Using Computer Algorithms for Cognitive Screening.

Background: Rapidly growing healthcare demand associated with global population aging has spurred the development of new digital tools for the assessment of cognitive performance in older adults. Objective: To develop a fully automated Mini-Mental State Examination (MMSE) assessment model and validate the model's rating consistency. Methods: The Automated Assessment Model for MMSE (AAM-MMSE) was an about 10-min computerized cognitive screening tool containing the same questions as the traditional paper-based Chinese MMSE. The validity of the AAM-MMSE was assessed in term of the consistency between the AAM-MMSE rating and physician rating. Results: A total of 427 participants were recruited for this study. The average age of these participants was 60.6 years old (ranging from 19 to 104 years old). According to the intraclass correlation coefficient (ICC), the interrater reliability between physicians and the AAM-MMSE for the full MMSE scale AAM-MMSE was high [ICC (2,1)=0.952; with its 95% CI of (0.883,0.974)]. According to the weighted kappa coefficients results the interrater agreement level for audio-related items showed high, but for items "Reading and obey", "Three-stage command", and "Writing complete sentence" were slight to fair. The AAM-MMSE rating accuracy was 87%. A Bland-Altman plot showed that the bias between the two total scores was 1.48 points with the upper and lower limits of agreement equal to 6.23 points and -3.26 points. Conclusions: Our work offers a promising fully automated MMSE assessment system for cognitive screening with pretty good accuracy.

Social-economic impact of infection after cosmetic facial injection: A retrospective study.

BACKGROUND: The overwhelming interest in economically cost-effective treatments had led to an increase in the development of cosmetic facial injections. Concomitantly, complications have been also on the increasing trend. This article aimed to investigate the social-economic impact caused by infection after cosmetic facial injection. METHODS: A retrospective study was conducted between January 2014 and December 2019. Information including demographics, location of the original injection site, treatments, economic loss, and time away from work associated with complications was documented. Patients were asked to complete 2 FACE-Q domains 4 weeks after the first presentation, including quality of life and patient experience. RESULTS: Complete data were available for 12 patients. All patients were female; the mean age was 32.66 years (range, 26-49 years). The mean therapeutic cost of atypical mycobacterium was 18170.58 USD. The mean time away from work was 51.25 days (range, 21-103 days). The mean cost of time away from work was 400.80 USD (range, 164.23-805.50 USD). From FACE-Q, patients reported a decreased quality of social life, including social function (38.83 ± 12.10), psychological distress (48.67 ± 11.01), and early-life impact (39.92 ± 10.15). Patients also reported low satisfaction with their decision to undergo the cosmetic facial injection. CONCLUSIONS: Infection after cosmetic facial injection comes at a considerable social-economic impact on patients. Patients who responded in this study were extremely unsatisfied with the quality of life following the infection.