Epilepsy on social media in Serbian, Croatian, and Bosnian languages

Social support and the burden of physical and psychiatric comorbidities in the patients with late-onset epilepsy in China: A cross-sectional study

INTRODUCTION

Epilepsy is the third most common neurological disorder in elderly people. Patients with epilepsy (PWEs) are more likely to have comorbidities. Social support is very important for PWEs. However, there are many gaps in the research on social support in older PWEs, especially the correlation between social support and comorbidities.

METHODS

A cross-sectional study was conducted in three hospitals in China. Social support was assessed using the Social Support Rate Scale. The burden of physical comorbidities was assessed using the CCI, and global disability was assessed using the mRS. The NDDIE was used to assess depression, the GAD7 was used for anxiety, the CDR was used for cognitive status, and the NPI was used for psychotic symptoms.

RESULTS

A total of 154 older PWEs participated in the study. There were 97 patients with at least one physical comorbidities. The burden of physical comorbidities was negatively correlated with overall social support (Adj. r = -0.35, P < 0.001) and global disability (Adj. r = -0.45, P < 0.001). In terms of psychiatric comorbidities, anxiety, depression, and cognitive status were not correlated with overall social support (Adj. r = -0.03, -0.02, and -0.11, P > 0.05). Psychotic symptoms were correlated with overall social support (Adj. r = -0.20, P < 0.05). The overall burden of psychiatric comorbidities was associated with overall social support (r = 0.30, P < 0.01).

DISCUSSION

Neurologists and social workers should consider more personalized biopsychosocial care to improve the quality of life of older PWEs.

Evaluating the performance of the language model ChatGPT in responding to common questions of people with epilepsy

OBJECTIVE

People with epilepsy desire to acquire accurate information about epilepsy and actively engage in its management throughout the long journey of living with seizures. ChatGPT is a large language model and we aimed to assess the accuracy and consistency of ChatGPT in responding to the common concerns of people with epilepsy and to evaluate its ability to provide emotional support.

METHODS

Questions were collected from the International League against Epilepsy and the China Association against Epilepsy. The responses were independently assessed by two board-certified epileptologists from the China Association against Epilepsy, and a third reviewer resolved disagreements. The reviewers assessed its ability to provide emotional support subjectively.

RESULTS

A total of 378 questions related to epilepsy and 5 questions related to emotional support were included. ChatGPT provided "correct and comprehensive" answers to 68.4% of the questions. The model provided reproducible answers for 82.3% questions. The model performed poorly in answering prognostic questions, with only 46.8% of the answers rated as comprehensive. When faced with questions requiring emotional support, the model can generate natural and understandable responses.

SIGNIFICANCE

ChatGPT provides accurate and reliable answers to patients with epilepsy and is a valuable source of information. It also provides partial emotional support, potentially assisting those experiencing emotional distress. However, ChatGPT may provide incorrect responses, leading users to inadvertently accept incorrect and potentially dangerous advice. Therefore, the direct use of ChatGPT for medical guidance is not recommended and its primary use at present is in patients education.