Dataset Information

A cross-sectional, multicenter survey of the prevalence and influencing factors for migraine in epilepsy.

ABSTRACT:

Objectives

Epilepsy and migraine are common chronic neurological disease. Epidemiologic studies and shared pathophysiology and treatment suggest that these two diseases overlap. However, migraine is often underestimated among patients with epilepsy. This study aimed to evaluate the prevalence of migraine and identify the related influencing factors among adult patients with epilepsy.

Methods

Adult patients with epilepsy were recruited at the outpatient epilepsy clinic of 13 tertiary hospitals in China from February to September 2022. ID Migraine questionnaire was applied to evaluate for migraine. Both univariable and multivariable logistic regression models were used to explore the influencing factors of migraine.

Results

A total of 1326 patients with epilepsy were enrolled in this study. The prevalence of migraine among patients with epilepsy was 19.2% (254/1326). In the multivariable analysis, being female (OR = 1.451, 95% CI: 1.068-1.975; p = 0.018), focal and focal to bilateral tonic-clonic seizures (OR = 1.583, 95% CI: 1.090-2.281; p = 0.015), and current seizure attack in the last 3 months (OR = 1.967, 95% CI: 1.282-3.063; p = 0.002) were the influencing factors for migraine. However, <10% of patients with epilepsy received analgesics for migraine.

Significance

Approximately 20% of patients with epilepsy screened positive for migraine. Being female, focal and focal to bilateral tonic-clonic seizures, and current seizure attack in the last 3 months were the influencing factors for migraine. Neurologists should pay more attention to the screening and management of the migraine among patients with epilepsy in China.

Plain language summary

Epilepsy and migraine are common chronic neurological disease with shared pathophysiological mechanisms and therapeutic options. However, migraine is often underestimated among patients with epilepsy. This multicenter study aimed to evaluate the prevalence of migraine and current status of treatment. In this study, approximately 20% of patients with epilepsy screened positive for migraine. Female, focal and focal to bilateral tonic-clonic seizures, and current seizure attack in the last 3 months were identified as independent influencing factors for migraine. Despite the high prevalence, the treatment for migraine was not optimistic, neurologists should pay more attention to the screening and management of migraine.

SUBMITTER: Shi W

PROVIDER: S-EPMC11296102 | biostudies-literature | 2024 May

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

A cross-sectional, multicenter survey of the prevalence and influencing factors for migraine in epilepsy.

Shi Wenyan W Sun Hanlin H Peng Wei W Chen Ziyi Z Wang Qun Q Lin Weihong W Ding Meiping M Sun Hongbin H Wang Xiangqing X Wang Tiancheng T Wang Xuefeng X Liu Yonghong Y Chen Yangmei Y Zhu Guoxing G Zhou Dong D Li Jinmei J

Epilepsia open 20240529 4

<h4>Objectives</h4>Epilepsy and migraine are common chronic neurological disease. Epidemiologic studies and shared pathophysiology and treatment suggest that these two diseases overlap. However, migraine is often underestimated among patients with epilepsy. This study aimed to evaluate the prevalence of migraine and identify the related influencing factors among adult patients with epilepsy.<h4>Methods</h4>Adult patients with epilepsy were recruited at the outpatient epilepsy clinic of 13 tertia ...[more]

PMID: 38808742

Similar Datasets

Project description:To explore the prevalence and influencing factors of anxiety and depression symptoms among Chinese people in 2021. Investigation teams were recruited in 120 cities across the country. Based on the data from "the Seventh National Population Census in 2021″, quota sampling was conducted on the residents of these cities to obtain samples that conformed to population characteristics. Next, baseline information on research objects was collected, and the questionnaire survey was conducted through the online questionnaire Wenjuanxing platform. The Patient Health Questionnaire-9 (PHQ-9) rating scale was used to evaluate the mental state of the subjects. The correlation between baseline information and different PHQ-9 risk intervals was analyzed using the Chi-square test and Logit model. The impact of relevant risk factors on PHQ-9 scores was analyzed using the decision tree. The Chi-square test results revealed that place of residence (p = 0.438) and obesity (p = 0.443) was not significantly correlated with PHQ-9 risk intervals. According to Logit model analysis, age (p = 0.001, 95%CI 0.84-0.96), marital status (p < 0.001, 95%CI 0.71-0.89), drinking (p < 0.001, 95%CI 1.07-1.18), diabetes or hypertension (p = 0.001, 95%CI 1.11-1.47), health care (p < 0.001, 95%CI 0.53-0.66), economic welfare (p = 0.022, 95%CI 0.85-0.99), COVID-19 vaccine (p < 0.001, 95%CI 1.28-1.72), and HPV vaccine (p < 0.001, 95%CI 0.46-0.57) were potential influencing factors of PHQ-9 risk intervals. Decision tree analysis results showed that the grouping strategy in the PHQ-9 two-side groups had a better classification effect on the questionnaire population according to the PHQ-9 score characteristics. The prevalence rate of moderate to severe depression among Chinese people was about 8.29%. Age, marital status, drinking, diabetes or hypertension, health care, economic well, COVID-19 vaccine, and HPV vaccine were potential influencing factors of anxiety and depression symptoms in Chinese people.

Project description:BackgroundComprehensive research on the impact of various types of refractive errors (RE) and anisometropia on dry eye disease is still lacking. This study aimed to estimate the prevalence rates and potential lifestyle factors related to symptomatic dry eye (SDE) among adolescents in eastern China.MethodsA cross-sectional study was performed in 2023, and a stratified cluster sampling technique was used among adolescents in Nantong, China. Demographic information, including sex, age and BMI, were collected. All participants underwent optometric tests, while Ocular Surface Disease Index (OSDI) and self-designed questionnaires were administered. Both univariate and multivariate logistic regression analyses were used to assess associations between SDE and related parameters, and various types of RE and anisometropia were also included in the study.ResultsA total of 1,518 participants were enrolled in the study, and the overall prevalence of SDE was 20.3% among adolescents in Nantong, China. Multiple logistic regression analyses showed that high myopia (aOR = 3.42, 95% CI = 1.60-3.36, p = 0.025), frequent use of eye drops (aOR = 2.31, 95% CI = 1.60-3.36, p<0.001), a history of allergic conjunctivitis (aOR = 1.93, 95% CI = 1.09-3.34, p = 0.025), and frequent blinking (aOR = 3.23, 95% CI = 2.31-4.53, p<0.001) were identified as risk factors for SDE. Conversely, male gender (aOR: 0.76, 95% CI: 0.58-0.99, p = 0.043), increased sleep time (6-7 h: aOR = 0.64, 95% CI = 0.46-0.89, p = 0.009; 7-8 h: aOR = 0.64, 95% CI = 0.43-0.95, p = 0.026; >8 h: aOR = 0.43, 95% CI = 0.23-0.82, p = 0.010), and timely intervention when vision decline occurred were protective factors against SDE (aOR = 0.61, 95% CI = 0.43-0.85, p = 0.004).ConclusionHigh myopia was found to be independently associated with an increased risk of SDE., while hyperopia, astigmatism, and anisometropia were not independent risk factors for SDE. The identified risk and protective factors may help provide valuable insights for future research and interventions aimed at improving ocular health in adolescents.

Dataset Information

A cross-sectional, multicenter survey of the prevalence and influencing factors for migraine in epilepsy.

Objectives

Methods

Results

Significance

Plain language summary

Publications

A cross-sectional, multicenter survey of the prevalence and influencing factors for migraine in epilepsy.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets