Background: Changes in cognitive function are associated with increased depression and decreased quality of life (QOL). This study aimed to determine the relationship between the characteristics of geriatric patients and anesthetic management with changes in postoperative cognitive function and QOL of geriatric patients undergoing elective surgery. Methods: This prospective observational analytic multicenter study included patients aged ≥60 years who underwent elective surgery in hospitals in Indonesia. We used the whole sampling method and performed follow-up 30 days after surgery. Data were analyzed using bivariate chi-square and multivariate regression tests with a confidence interval of 95% and α=5%. Results: Among the 933 geriatric patients included in this study 55.0%, females most (59.8%) received general anesthesia. Factors including age (p<0.001, B=-0.374, odds ratio [OR]=0.688), body mass index (BMI) (p<0.05, B=0.129, OR=1.138), and physical status based on American Society of Anesthesiologists (ASA) classification (p<0.001, B=-0.458, OR=0.633) were significantly associated with postoperative cognitive function. BMI (p<0.001, B=-0.218, OR=1.244), absence of comorbidities (p<0.05, B=-0.312, OR=0.732), regional anesthesia (p<0.05, B=0.606, OR=1.883), and changes in cognitive function (p<0.05, B=0.288, OR=1.334) were significantly correlated with changes in postoperative QOL. Conclusion Age, BMI, and ASA physical status were significantly associated with postoperative cognitive function in geriatric patients, whereas BMI, comorbidities, regional anesthesia, and changes in postoperative cognitive function were associated with QOL. These preoperative factors can predict postoperative cognitive function and QOL and may be useful during preoperative planning.

Background: Changes in cognitive function are associated with increased depression and decreased quality of life (QOL). This study aimed to determine the relationship between the characteristics of geriatric patients and anesthetic management with changes in postoperative cognitive function and QOL of geriatric patients undergoing elective surgery. Methods: This prospective observational analytic multicenter study included patients aged ≥60 years who underwent elective surgery in hospitals in Indonesia. We used the whole sampling method and performed follow-up 30 days after surgery. Data were analyzed using bivariate chi-square and multivariate regression tests with a confidence interval of 95% and α=5%. Results: Among the 933 geriatric patients included in this study 55.0%, females most (59.8%) received general anesthesia. Factors including age (p<0.001, B=-0.374, odds ratio [OR]=0.688), body mass index (BMI) (p<0.05, B=0.129, OR=1.138), and physical status based on American Society of Anesthesiologists (ASA) classification (p<0.001, B=-0.458, OR=0.633) were significantly associated with postoperative cognitive function. BMI (p<0.001, B=-0.218, OR=1.244), absence of comorbidities (p<0.05, B=-0.312, OR=0.732), regional anesthesia (p<0.05, B=0.606, OR=1.883), and changes in cognitive function (p<0.05, B=0.288, OR=1.334) were significantly correlated with changes in postoperative QOL. Conclusion Age, BMI, and ASA physical status were significantly associated with postoperative cognitive function in geriatric patients, whereas BMI, comorbidities, regional anesthesia, and changes in postoperative cognitive function were associated with QOL. These preoperative factors can predict postoperative cognitive function and QOL and may be useful during preoperative planning.

Background: Changes in cognitive function are associated with increased depression and decreased quality of life (QOL). This study aimed to determine the relationship between the characteristics of geriatric patients and anesthetic management with changes in postoperative cognitive function and QOL of geriatric patients undergoing elective surgery. Methods: This prospective observational analytic multicenter study included patients aged ≥60 years who underwent elective surgery in hospitals in Indonesia. We used the whole sampling method and performed follow-up 30 days after surgery. Data were analyzed using bivariate chi-square and multivariate regression tests with a confidence interval of 95% and α=5%. Results: Among the 933 geriatric patients included in this study 55.0%, females most (59.8%) received general anesthesia. Factors including age (p<0.001, B=-0.374, odds ratio [OR]=0.688), body mass index (BMI) (p<0.05, B=0.129, OR=1.138), and physical status based on American Society of Anesthesiologists (ASA) classification (p<0.001, B=-0.458, OR=0.633) were significantly associated with postoperative cognitive function. BMI (p<0.001, B=-0.218, OR=1.244), absence of comorbidities (p<0.05, B=-0.312, OR=0.732), regional anesthesia (p<0.05, B=0.606, OR=1.883), and changes in cognitive function (p<0.05, B=0.288, OR=1.334) were significantly correlated with changes in postoperative QOL. Conclusion Age, BMI, and ASA physical status were significantly associated with postoperative cognitive function in geriatric patients, whereas BMI, comorbidities, regional anesthesia, and changes in postoperative cognitive function were associated with QOL. These preoperative factors can predict postoperative cognitive function and QOL and may be useful during preoperative planning.

Augmented reality technology had developed rapidly in recent years and had been applied in many fields, including medical education. Augmented reality had potential to improve students’ knowledge and skills in medical education. This scoping review primarily aims to further elaborate the current studies on the implementation of augmented reality in advancing clinical skills. This study was conducted by utilizing electronic databases such as PubMed, Embase, and Web of Science in June 2022 for articles focusing on the use of augmented reality for improving clinical skills. The Rayyan website was used to screen the articles that met the inclusion criteria, which was the application of augmented reality as a learning method in medical education. Total of 37 articles met the inclusion criteria. These publications suggested that using augmented reality could improve clinical skills. The most researched topics explored were laparoscopic surgery skills and ophthalmology were the most studied topic. The research methods applied in the articles fall into two main categories: randomized control trial (RCT) (29.3%) and non-RCT (70.3%). Augmented reality has the potential to be integrated in medical education, particularly to boost clinical studies. Due to limited databases, however, any further studies on the implementation of augmented reality as a method to enhance skills in medical education need to be conducted.