Effect of the COVID-19 Pandemic on Seizure Control Status in Patients With Epilepsy

Background: Previous studies have shown that patients with epilepsy (PWE) perceived significant disruption in the quality and provision of care due to the coronavirus disease 2019 (COVID-19) pandemic. The present study aimed to investigate the effect of this pandemic on seizure control status and changes in seizure frequency in PWE. Methods:A consecutive sample of adult PWE registered in the database of Shiraz Epilepsy Center (Shiraz, Iran) was included in the study. In July 2021, phone interviews were conducted with all selected patients. Information such as age, sex, last seizure, seizure type, and frequency during the 12 months before the study, and history of COVID-19 contraction was extracted. The seizure control status of the patients in 2019 (pre-pandemic) was compared with that during the COVID-19 pandemic. Data were analyzed using SPSS software with the Fisher’s exact test and Pearson’s Chi squared test. P Results: A total of 158 patients were included in the study, out of which 62 (39.2%) patients had a stable seizure control status, 47 (29.7%) had fewer seizures, and 50 (31.6%) had more seizures. Breakthrough seizures were reported by 32 (34.4%) patients. Seizure frequency increased in 18 (27.7%) and decreased in 46 (70.7%) patients. Conclusion: Overall, the COVID-19 pandemic has not been a major precipitating factor nor has it affected the seizure control status of PWE. In treated epilepsy, a fluctuating course with periods of seizure freedom followed by relapses is part of its natural history

Contributions of Iranian Journal of Medical Sciences (IJMS) during the COVID-19 Pandemic

Since late 2019, the world and since early 2020, Iran has been experiencing a catastrophic pandemic of the coronavirus disease 2019 (COVID-19), which is caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2).1 This fatal virus has a high potential for person-to-person transmission; therefore, this deadly outbreak has caused massive job losses, various psychiatric problems, and increasing difficulties for all businesses worldwide.2-5 Production of scientific data and its timely dissemination are the essential elements of an effective response to any crisis including the current pandemic. The current study aimed to determine the early contributions of the Iranian Journal of Medical Sciences (IJMS) during the COVID-19 pandemic in 2020. We retrieved all the IJMS publications in 2020 and divided the published articles into three main categories: clinical sciences, basic sciences, and editorials. We also identified and highlighted the studies related to COVID-19

Individualised prediction of drug resistance and seizure recurrence after medication withdrawal in people with juvenile myoclonic epilepsy: A systematic review and individual participant data meta-analysis

Summary Background A third of people with juvenile myoclonic epilepsy (JME) are drug-resistant. Three-quarters have a seizure relapse when attempting to withdraw anti-seizure medication (ASM) after achieving seizure-freedom. It is currently impossible to predict who is likely to become drug-resistant and safely withdraw treatment. We aimed to identify predictors of drug resistance and seizure recurrence to allow for individualised prediction of treatment outcomes in people with JME. Methods We performed an individual participant data (IPD) meta-analysis based on a systematic search in EMBASE and PubMed – last updated on March 11, 2021 – including prospective and retrospective observational studies reporting on treatment outcomes of people diagnosed with JME and available seizure outcome data after a minimum one-year follow-up. We invited authors to share standardised IPD to identify predictors of drug resistance using multivariable logistic regression. We excluded pseudo-resistant individuals. A subset who attempted to withdraw ASM was included in a multivariable proportional hazards analysis on seizure recurrence after ASM withdrawal. The study was registered at the Open Science Framework (OSF; https://osf.io/b9zjc/). Findings  368) was predicted by an earlier age at the start of withdrawal, shorter seizure-free interval and more currently used ASMs, resulting in an average internal-external cross-validation concordance-statistic of 0·70 (95%CI 0·68–0·73). Interpretation We were able to predict and validate clinically relevant personalised treatment outcomes for people with JME. Individualised predictions are accessible as nomograms and web-based tools. Funding MING fonds

Functional (Psychogenic) Seizures Are Associated With Thyroid Disorders

Objective: We investigated medical comorbidities in patients with functional seizures (FS) and those with epilepsy (idiopathic generalized epilepsies [IGEs] or temporal lobe epilepsy [TLE]). We hypothesized that the nature of medical comorbidities differs between these three groups. This might be helpful to postulate on the pathophysiology of FS. Materials and Methods: In a retrospective study, all adult patients with a diagnosis of IGE, TLE, or FS were recruited at the outpatient epilepsy clinic at Shiraz University of Medical Sciences, Iran, from 2008 until 2020. The three groups of patients were matched with regard to their age. Age, sex, and medical comorbidities were registered routinely for all patients at the time of the first visit. Results: Nine hundred and sixty-six patients were studied (254 patients with IGE, 467 persons with TLE, and 245 individuals with FS). The groups differed significantly with regard to having medical comorbidities. The most striking difference was comorbid thyroid disorders; this was more common among patients with FS. The diagnosis of FS was independently significantly associated with thyroid disorder comorbidity (odds ratio: 2.77, 95% confidence interval: 1.06–7.23; P = 0.038). Conclusion: Thyroid disorders are significantly associated with FS. We can make the following suggestions to advance the field: a. It is necessary to reproduce this observation in larger multicenter studies; b. We recommend to evaluate thyroid function in all patients with FS; c. It might be helpful to design clinical trials to investigate whether correction of any clinical or subclinical thyroid disorders changes the treatment outcome in patients with FS

Knee impairments: Comparison between new clinical classification by cluster analysis and movement system impairment model

Background: Although Movement System Impairment (MSI) model classifies patients with knee impairments, it has some limitations. This study compares MSI model with a new Partitioning Around Medoids (PAM) model in knee pain patients.Methods: In this cross-sectional study, knee movement impairments (signs) and symptoms. (pain) of 200 patients were studied in eight different functional positions. After modification of impairments, the examinations were repeated to record the changes in symptoms. The patients were then classified based on the signs and symptoms firstly by MSI model and secondly using PAM clustering by R software. Results: PAM model has a similar acceptable grouping compared to MSI because most patients are in 4 similar categories in both methods: valgus, varus, hyperextension and hypomobility. However, due to low discriminative power of the tests used for finding hypermobility and patellar dysfunctions, these sub-clusters are absent in PAM model. Instead, two new sub-clusters of self-management and valgus with hypomobility were found. Most importantly, the PAM model sorted the signs and symptoms based on their discriminative power and eliminated trivial tests so that the therapist can classify patients more quickly by performing clinically relevant tests.Conclusion: The new PAM method can be advantageous for therapists since it defines the importance of signs over symptoms in examination, prioritizes examination tests, and outlines tests with lower discriminative power. In PAM model, patients in the hypermobility and patellar subgroups of MSI model merged into other sub-clusters due to low discriminating power of their characteristics

Comparison of medical treatments in cryptogenic stroke patients with patent foramen ovale: A randomized clinical trial

Background: This randomized clinical trial compared rates of stroke or transient ischemic attack recurrence or death in patients with cryptogenic stroke and patent foramen ovale (PFO) who received medical treatment with aspirin or warfarin. Materials and Methods : Forty-four Iranian patients with cryptogenic stroke and patent foramen ovale participated in this randomized, single-blind trial between July 2007 and June 2010. All patients underwent transesophageal echocardiography and contrast-transcranial Doppler sonography to confirm the presence of patent foramen ovale. The patients were randomly assigned to receive aspirin or warfarin and were followed for 18 months for the recurrence of ischemic events or death. The principal investigator was blind to the group assignment. This trial is registered under number IRCT138805192323N1. Results: Five (11.4%) patients had a stroke, 2 (4.5%) had a transient ischemic attack and 2 (4.5%) died. There was no difference in the rate of ischemic events or death between the aspirin- and warfarin-treated groups (hazard ratio: 0.45; 95% CI: 0.1-1.8; P = 0.259). Conclusion: There was no difference in ischemic event recurrence, death rates or side-effects between patients with cryptogenic stroke and patent foramen ovale who were treated with aspirin vs. warfarin

A new clustering method for knee movement impairments using partitioning around medoids model

Background: The movement system impairment (MSI) model is a clinical model that can be used for the classification, diagnosis, and treatment of knee impairments. By using the partitioning around medoids (PAM) clustering method, patients can be easily clustered in homogeneous groups through the determination of the most discriminative variables. The present study aimed to reduce the number of clinical examination variables, determine the important variables, and simplify the MSI model using the PAM clustering method. Methods: The present cross-sectional study was performed in Shiraz, Iran, during February-December 2018. A total of 209 patients with knee pain were recruited. Patients’ knee, femoral and tibial movement impairments, and the perceived pain level were examined in quiet standing, sitting, walking, partial squatting, single-leg stance (both sides), sit-to-stand transfer, and stair ambulation. The tests were repeated after correction for impairments. Both the pain pattern and the types of impairment were subsequently used in the PAM clustering analysis. Results: PAM clustering analysis categorized the patients in two main clusters (valgus and non-valgus) based on the presence or absence of valgus impairment. Secondary analysis of the valgus cluster identified two sub-clusters based on the presence of hypomobility. Analysis of the non-valgus cluster showed four sub-clusters with different characteristics. PAM clustering organized important variables in each analysis and showed that only 23 out of the 41 variables were essential in the sub-clustering of patients with knee pain. Conclusion: A new direct knee examination method is introduced for the organization of important discriminative tests, which requires fewer clinical examination variables

The effect of exergaming on knee proprioception in older men: a randomized controlled trial

Background: Proprioception is the ability to sense the body position, muscle sense, joint stability and posture. As balance decreases during the process of aging, knee proprioception has a critical role in body balance and daily activities. Exergaming has shown to be a potentially effective and more enjoyable form of exercise delivery. Objective: The purpose of this study was to determine the effect of an 8-week Xbox Kinect exercise program on knee proprioception in healthy older adults. Methodology: Thirty-two elderly men who were 65 years of age or older were randomly allocated to either a control or experimental group (allocation ratio 1:1). The experimental group received an exergame intervention that included Xbox Kinect with games focusing on movements of the knee joint for 8 weeks (three times per week and 40 min per sessions). A Biodex Isokinetic Dynamometer was used to measure knee joint position sense before and after the exercise program. Results: After eight weeks of training, knee proprioception significantly improved in the intervention group for several knee joint angles: 30° (3.5 ± 1.1), 45° (3.1 ± 0.9), and 60° (3.0 ± 0.6) compared to the control group 30° (5.2 ± 0.8), 45° (5.2 ± 0.8), and 60° (6.2 ± 0.9) (dominant leg F1, 28 = 23.469, p = 0.001. ƞ2 = 0.456; non-dominant leg F1, 28 = 23.076, p = 0.001. ƞ2 = 0.452). Conclusion: The results from this study indicate that exergame intervention can enhance knee proprioception in elderly men

Individualised prediction of drug resistance and seizure recurrence after medication withdrawal in people with juvenile myoclonic epilepsy: A systematic review and individual participant data meta-analysis

Background A third of people with juvenile myoclonic epilepsy (JME) are drug-resistant. Three-quarters have a seizure relapse when attempting to withdraw anti-seizure medication (ASM) after achieving seizure-freedom. It is currently impossible to predict who is likely to become drug-resistant and safely withdraw treatment. We aimed to identify predictors of drug resistance and seizure recurrence to allow for individualised prediction of treatment outcomes in people with JME. Methods We performed an individual participant data (IPD) meta-analysis based on a systematic search in EMBASE and PubMed – last updated on March 11, 2021 – including prospective and retrospective observational studies reporting on treatment outcomes of people diagnosed with JME and available seizure outcome data after a minimum one-year follow-up. We invited authors to share standardised IPD to identify predictors of drug resistance using multivariable logistic regression. We excluded pseudo-resistant individuals. A subset who attempted to withdraw ASM was included in a multivariable proportional hazards analysis on seizure recurrence after ASM withdrawal. The study was registered at the Open Science Framework (OSF; https://osf.io/b9zjc/). Findings Our search yielded 1641 articles; 53 were eligible, of which the authors of 24 studies agreed to collaborate by sharing IPD. Using data from 2518 people with JME, we found nine independent predictors of drug resistance: three seizure types, psychiatric comorbidities, catamenial epilepsy, epileptiform focality, ethnicity, history of CAE, family history of epilepsy, status epilepticus, and febrile seizures. Internal-external cross-validation of our multivariable model showed an area under the receiver operating characteristic curve of 0·70 (95%CI 0·68–0·72). Recurrence of seizures after ASM withdrawal (n = 368) was predicted by an earlier age at the start of withdrawal, shorter seizure-free interval and more currently used ASMs, resulting in an average internal-external cross-validation concordance-statistic of 0·70 (95%CI 0·68–0·73). Interpretation We were able to predict and validate clinically relevant personalised treatment outcomes for people with JME. Individualised predictions are accessible as nomograms and web-based tools