Efficacy of add-on Cenobamate treatment in refractory epilepsy due to Rasmussen's encephalitis.

OBJECTIVE: To assess antiseizure effects of cenobamate, a new antiseizure medication with at least two mechanisms of action, in the rare, highly pharmacoresistant and progressive epilepsy syndrome related to Rasmussen's encephalitis. METHODS: Three patients from the epilepsy centers in Freiburg, Kork, and Valencia are reported with focal epilepsy which had been pharmacoresistant to more than 10 prior treatment regimens. Assessment included at least 1 year of follow-up after cenobamate introduction and included seizure frequency, seizure severity (in particular status epilepticus) and changes in co-medication. RESULTS: In the three patients, cenobamate add on treatment proved superior to all prior antiseizure and immunomodulatory treatments which had been individually applied. Not only were focal to bilateral tonic-clonic seizure completely controlled, but also focal motor status epilepticus no longer occurred. Co-medication could be reduced in all patients. SIGNIFICANCE: This case series in a rare and highly pharmacoresistant epilepsy syndrome suggests high efficacy of cenobamate add-on treatment for seizure control. This may be a valuable information in epilepsy related to Rasmussen encephalitis and calls for further elucidation of the mechanism involved in superior seizure control also compared to prior treatments including sodium channel blockers and benzodiazepines. PLAIN LANGUAGE SUMMARY: Rasmussen's encephalitis is a rare type of epilepsy that gets worse over time and doesn't respond well to most seizure medications. We describe three patients who tried many treatments without much success, but when they added cenobamate to their treatment, it worked better than the other medications. This also let them lower the overall amount of medication they were taking.

Proof-of-concept study of a small language model chatbot for breast cancer decision support - a transparent, source-controlled, explainable and data-secure approach.

PURPOSE: Large language models (LLM) show potential for decision support in breast cancer care. Their use in clinical care is currently prohibited by lack of control over sources used for decision-making, explainability of the decision-making process and health data security issues. Recent development of Small Language Models (SLM) is discussed to address these challenges. This preclinical proof-of-concept study tailors an open-source SLM to the German breast cancer guideline (BC-SLM) to evaluate initial clinical accuracy and technical functionality in a preclinical simulation. METHODS: A multidisciplinary tumor board (MTB) is used as the gold-standard to assess the initial clinical accuracy in terms of concordance of the BC-SLM with MTB and comparing it to two publicly available LLM, ChatGPT3.5 and 4. The study includes 20 fictional patient profiles and recommendations for 5 treatment modalities, resulting in 100 binary treatment recommendations (recommended or not recommended). Statistical evaluation includes concordance with MTB in % including Cohen's Kappa statistic (κ). Technical functionality is assessed qualitatively in terms of local hosting, adherence to the guideline and information retrieval. RESULTS: The overall concordance amounts to 86% for BC-SLM (κ = 0.721, p < 0.001), 90% for ChatGPT4 (κ = 0.820, p < 0.001) and 83% for ChatGPT3.5 (κ = 0.661, p < 0.001). Specific concordance for each treatment modality ranges from 65 to 100% for BC-SLM, 85-100% for ChatGPT4, and 55-95% for ChatGPT3.5. The BC-SLM is locally functional, adheres to the standards of the German breast cancer guideline and provides referenced sections for its decision-making. CONCLUSION: The tailored BC-SLM shows initial clinical accuracy and technical functionality, with concordance to the MTB that is comparable to publicly-available LLMs like ChatGPT4 and 3.5. This serves as a proof-of-concept for adapting a SLM to an oncological disease and its guideline to address prevailing issues with LLM by ensuring decision transparency, explainability, source control, and data security, which represents a necessary step towards clinical validation and safe use of language models in clinical oncology.

Immersive medical training: a comprehensive longitudinal study of extended reality in emergency scenarios for large student groups.

Young healthcare professionals and medical graduates often fall short in the practical experience necessary for handling medical emergencies. This can not only lead to strained feelings of inadequacy and insecurity among future physicians and less experienced healthcare providers in general, but also to detrimental outcomes for patients as emergency medicine demands rapid decision-making with low tolerance for errors. New didactic modalities and approaches may be needed to effectively address this shortcoming. Immersive technologies are powerful novel educational tools with untapped potential in medical training, and may be particularly suitable for simulation trainings in the high-stakes field of emergency medicine.Herein, we systematically explored the educational potential of extended reality (XR) technology, particularly virtual reality (VR), in the management of patients presenting as medical emergencies, combining the use of the STEP-VR application with an untethered hardware setup.Importantly, we aimed at studying multiple, large cohorts of senior medical students involving a total of 529 participants and collecting data over a period of two years. We assessed students' acceptance of the training through a modified questionnaire measuring device handling, content complexity, degree of immersion, learning success, and seminar design.Our results show high, sustained acceptance and ease of use across different student cohorts and subgroups, with most students finding XR/VR engaging and beneficial for acquiring emergency medicine skills. Importantly, the prevalence of simulation sickness was minimal. Moreover, no major effect of the head-mounted displays (HMDs) price range was noted with regard to the learning experience. The results underscore the potential of XR/VR capabilities in effectively enhancing medical education, particularly in areas of high-stakes clinical scenarios and emergency care, by providing realistic and reproducible immersive training environments.In summary, our findings suggest that XR/VR-based training approaches could significantly contribute to preparing future physicians for the complexities of emergency medical care, encouraging the integration of such technologies into medical curricula. However, careful consideration must be given to its suitability for all students and the practical challenges of its implementation, highlighting the need for further research to harness its full potential for medical education.

In Silico Decoding of Parkinson's: Speech & Writing Analysis.

Background: Parkinson's disease (PD) has transitioned from a rare condition in 1817 to the fastest-growing neurological disorder globally. The significant increase in cases from 2.5 million in 1990 to 6.1 million in 2016, coupled with predictions of a further doubling by 2040, underscores an impending healthcare challenge. This escalation aligns with global demographic shifts, including rising life expectancy and a growing global population. The economic impact, notably in the U.S., reached $51.9 billion in 2017, with projections suggesting a 46% increase by 2037, emphasizing the substantial socio-economic implications for both patients and caregivers. Coupled with a worldwide demand for health workers that is expected to rise to 80 million by 2030, we have fertile ground for a pandemic. Methods: Our transdisciplinary research focused on early PD detection through running speech and continuous handwriting analysis, incorporating medical, biomedical engineering, AI, and linguistic expertise. The cohort comprised 30 participants, including 20 PD patients at stages 1-4 on the Hoehn and Yahr scale and 10 healthy controls. We employed advanced AI techniques to analyze correlation plots generated from speech and handwriting features, aiming to identify prodromal PD biomarkers. Results: The study revealed distinct speech and handwriting patterns in PD patients compared to controls. Our ParkinsonNet model demonstrated high predictive accuracy, with F1 scores of 95.74% for speech and 96.72% for handwriting analyses. These findings highlight the potential of speech and handwriting as effective early biomarkers for PD. Conclusions: The integration of AI as a decision support system in analyzing speech and handwriting presents a promising approach for early PD detection. This methodology not only offers a novel diagnostic tool but also contributes to the broader understanding of PD's early manifestations. Further research is required to validate these findings in larger, diverse cohorts and to integrate these tools into clinical practice for timely PD pre-diagnosis and management.

High precision in epileptic seizure self-reporting with an app diary.

People with epilepsy frequently under- or inaccurately report their seizures, which poses a challenge for evaluating their treatment. The introduction of epilepsy health apps provides a novel approach that could improve seizure documentation. This study assessed the documentation performance of an app-based seizure diary and a conventional paper seizure diary. At two tertiary epilepsy centers patients were asked to use one of two offered methods to report their seizures (paper or app diary) during their stay in the epilepsy monitoring unit. The performances of both methods were assessed based on the gold standard of video-EEG annotations. In total 89 adults (54 paper and 35 app users) with focal epilepsy were included in the analysis, of which 58 (33 paper and 25 app users) experienced at least one seizure and made at least one seizure diary entry. We observed a high precision of 85.7% for the app group, whereas the paper group's precision was lower due to overreporting (66.9%). Sensitivity was similar for both methods. Our findings imply that performance of seizure self-reporting is patient-dependent but is more precise for patients who are willing to use digital apps. This may be relevant for treatment decisions and future clinical trial design.

Comparing the treatment of endometriosis-related pain by excision of endometriosis or hysterectomy: A multicentre prospective cohort study.

OBJECTIVE: To compare the effectiveness of endometriosis excision alone to excision plus hysterectomy, with and without bilateral oophorectomy, for endometriosis-related symptoms. DESIGN: Multicentre prospective cohort. SETTING: Eighty-six specialist endometriosis centres. POPULATION: Women undergoing rectovaginal endometriosis surgery between 2009 and 2021. METHODS: We performed multivariable regression with random effects for patient and centre, controlling for age, BMI, smoking, laparoscopic versus open approach and type of bowel surgery performed, with sensitivity analysis for loss to follow-up. MAIN OUTCOME MEASURES: Pain scores, bowel symptoms and quality-of-life measures. RESULTS: Compared to endometriosis excision alone, women undergoing hysterectomy with conservation of ovaries had greater improvement in non-cyclical pain (MD: 1.41/10, 95% CI: 1.03-1.78, p < 0.001), dyspareunia (MD: 1.12/10, 95% CI: 0.71-1.53, p < 0.001), back pain (MD: 1.29/10, 95% CI: 0.92-1.67, p < 0.001) and quality-of-life scores (MD: 8.77/100, 95% CI: 5.79-11.75, p < 0.001) at 24 months post-operatively. Women undergoing hysterectomy with bilateral oophorectomy also had greater improvement in non-cyclical pelvic pain (MD: 2.22/10, 95% CI: 1.80-2.63, p < 0.001), dyspareunia (MD: 1.05/10, 95% CI: 0.59-1.52, p < 0.001), back pain (MD: 1.18/10, 95% CI: 0.77-1.59, p < 0.001) and quality of life (MD: 12.41/100, 95% CI: 9.07-15.74, p < 0.001) at 24 months compared to endometriosis excision alone. Compared to hysterectomy with ovarian conservation, hysterectomy with bilateral oophorectomy was associated with greater improvement in non-cyclical pelvic pain (MD: 0.81/10, 95% CI: 0.32-1.30, p = 0.001) at 24 months and quality of life (MD: 3.74/100, 95% CI: 0.56-6.92, p = 0.021) at 12 months, although this result was sensitive to loss to follow-up. CONCLUSIONS: Patients who undergo endometriosis excision plus hysterectomy experience greater improvement in pain and quality of life compared to those who have endometriosis excision alone. There are additional benefits of bilateral oophorectomy with hysterectomy, although its value is less clear due to loss of follow-up.

Obstetric outcomes in women with pelvic endometriosis: a prospective cohort study.

OBJECTIVE: To determine whether obstetric outcomes differ between women with endometriosis and those without, where all women undergo first-trimester screening for endometriosis. DESIGN: A prospective observational cohort study. SETTING: The Early Pregnancy Unit at University College London Hospital, United Kingdom. PATIENTS: Women with a live pregnancy progressing beyond 12 weeks' gestation and concurrent endometriosis (n = 110) or no endometriosis (n = 393). INTERVENTION: All women underwent a pelvic ultrasound examination in early pregnancy to examine for the presence of endometriosis and uterine abnormalities. MAIN OUTCOME MEASURES: The primary outcome of interest was preterm birth, defined as delivery before 37 completed weeks' gestation. Secondary outcomes included late miscarriage, antepartum hemorrhage, placental site disorders, gestational diabetes, hypertensive disorders of pregnancy, neonates small for gestational age, mode of delivery, intrapartum sepsis, postpartum hemorrhage, and admission to the neonatal unit. RESULTS: Women with a diagnosis of endometriosis did not have statistically significantly higher odds of preterm delivery (adjusted odds ratio [aOR] 1.85 [95% confidence interval {CI} 0.50-6.90]), but they did have higher odds of postpartum hemorrhage during cesarean section (aOR 3.64 [95% CI 2.07-6.35]) and admission of their newborn infant to the neonatal unit (aOR 3.24 [95% CI 1.08-9.73]). Women with persistent or recurrent deep endometriosis after surgery also had higher odds of placental site disorders (aOR 8.65 [95% CI 1.17-63.71]) and intrapartum sepsis (aOR 3.47 [95% CI 1.02-11.75]). CONCLUSION: We observed that women with endometriosis do not have higher odds of preterm delivery, irrespective of their disease subtype. However, they do have higher odds of postpartum hemorrhage during the cesarean section and newborn admission to the neonatal unit.

Structured Exposure Achieves High Acceptance of Immersive Technology Among Medical Students and Educators.

Virtual reality (VR) is a potent educational tool with untapped potential in medical training. However, its integration into medical schools faces challenges such as cybersickness and hesitancy among medical students and professionals. Notably, there has been no systematic assessment of the acceptance of medical educational VR applications by both students and educators. In our single-center study, we enrolled 133 medical students and 14 medical educators. Following a practical demonstration of the established VR anatomy application, Sharecare YOU VR, participants completed a self-reporting survey based on the Technology Acceptance Model (TAM), exploring user acceptance of information technologies and focusing on perceived usefulness (PU), perceived ease of use (PEU), and attitude toward using (ATU). We also sought insights into potential future applications of VR in medical education. Our findings indicate a high level of acceptance among medical students and educators upon structured exposure to VR with significantly positive responses for all three TAM variables (PU, PEU, and ATU). Intriguingly, hands-on experience influenced acceptance. Students envisioned VR's benefits in anatomy, surgery, emergency medicine, and communication skill training with patients. Both students and educators believed that VR could enhance traditional approaches and complement the existing curriculum, anticipating improved preparedness for medical students through VR training applications. In conclusion, our results demonstrate the receptivity of both students and educators to immersive technologies, including VR, in medical education. Importantly, the data suggest that the adoption of VR in this field would be welcomed rather than resisted, potentially enhancing students' self-efficacy and enriching the medical school curriculum.

Technical note: preliminary surgical experience with a new implantable epicranial stimulation device for chronic focal cortex stimulation in drug-resistant epilepsy.

PURPOSE: This study is to report some preliminary surgical considerations and outcomes after the first implantations of a new and commercially available implantable epicranial stimulation device for focal epilepsy. METHODS: We retrospectively analyzed data from clinical notes. Outcome parameters were as follows: wound healing, surgery time, and adverse events. RESULTS: Five patients were included (17-52 y/o; 3 female). Epicranial systems were uneventfully implanted under neuronavigation guidance. Some minor adverse events occurred. Wound healing in primary intention was seen in all patients. Out of these surgeries, certain concepts were developed: Skin incisions had to be significantly larger than expected. S-shaped incisions appeared to be a good choice in typical locations behind the hairline. Preoperative discussions between neurologist and neurosurgeon are mandatory in order to allow for the optimal coverage of the epileptogenic zone with the electrode geometry. CONCLUSION: In this first small series, we were able to show safe implantation of this new epicranial stimulation device. The use of neuronavigation is strongly recommended. The procedure is simple but not trivial and ideally belongs in the hands of a neurosurgeon.

Add-on treatment with cenobamate is already effective at low doses in refractory focal epilepsy: A prospective observational study.

OBJECTIVE: Cenobamate, a novel antiseizure medication with a dual mechanism of action, has been shown in pivotal trials to significantly improve seizure control in treatment-resistant focal epilepsy. We aimed to evaluate whether these promising results could be confirmed in a real-world setting with a follow-up period of up to 12 months. METHODS: Patients from a tertiary epilepsy center who received cenobamate add-on between June 2021 and October 2023 were followed up prospectively at 3, 6, and 12 months after treatment initiation for assessment of seizure outcomes and treatment-related adverse events. RESULTS: The clinical cohort included 112 adult patients with 30% nonlesional cases and a wide spectrum of epileptogenic lesions underlying refractory focal epilepsy. We observed a significant reduction in monthly seizure frequency of all seizure types already after 3 months of treatment at a median cenobamate dose of 100 mg/day. Forty-six percent of patients were responders with a ≥50% seizure reduction, 26% had a ≥75% seizure reduction, and 9% became seizure-free. Among the 74 patients with available follow-up of 12 months, the responder rates reached 55%, 35%, and 19% for ≥50%, ≥75%, and 100% seizure reduction, respectively. After 3 months of treatment, 38% of patients reported adverse effects, mainly (84%) mild to moderate in intensity. Adjustment of comedication allowed successful management of adverse effects in 32% of patients. At a group level, there was no correlation between the cenobamate daily dose and the incidence of adverse events. SIGNIFICANCE: We found a clinically relevant response to cenobamate already at a low daily dose of 100 mg also in a patient cohort with a higher degree of drug resistance than in pivotal trials. Our prospectively collected data provide real-world evidence for high efficacy and good tolerability of the drug, although no standardized treatment protocol or comparison with a control group was applied.

A Prospective Longitudinal Study of the Effects of Eslicarbazepine Acetate Treatment on Bone Density and Metabolism in Patients with Focal-Onset Epilepsy.

BACKGROUND AND OBJECTIVES: Eslicarbazepine acetate (ESL) is a third-generation anti-seizure medication for patients with focal-onset epilepsy. There are known short-term impacts of classic enzyme-inducing drugs on bone health. For oxcarbazepine, which like ESL is a less potent inducer of cytochrome P450 (CYP450) than carbamazepine, some studies have shown that treatment is associated with increased bone metabolic parameters. The effects of ESL on bone health have not been systematically evaluated so the objective of this study was to investigate whether adverse effects of ESL on bone mineral density (BMD) could be measured after a 12-month exposure period. In addition, the effects of ESL on bone turnover were investigated using laboratory indicators of bone metabolism. METHODS: BONAPARTE was a prospective, longitudinal, observational study that enrolled patients with focal-onset epilepsy with or without secondary generalization who started treatment with ESL, either as adjunctive treatment or monotherapy, at two tertiary epilepsy centres in Germany between February 2018 and July 2020. Standardised osteodensitometry and biochemical bone metabolism parameters at the time of ESL initiation and 1 year after continuation of therapy were assessed. Comparisons between biochemical and densitometric parameters at baseline and after 12 months of treatment were performed using the paired samples t test. RESULTS: In total, 26 patients (15 male; mean age 41.4 ± 12.5 years) newly treated with ESL were evaluated. Six of these patients had osteopenia at baseline. The mean daily dose of ESL at the 12-month follow-up was 1438 ± 1406 mg. At the group level, there were no significant effects of treatment with ESL on laboratory markers or on BMD. Mean values of BMD in g/cm2 at baseline and after 12 months of ESL treatment were 1.17 (± 0.16) and 1.16 (± 0.16) in the lumbar spine, and 0.98 (± 0.15) and 0.96 (± 0.15) in the proximal femur, respectively. Intra-individually, two patients developed de novo osteopenia measured at the femoral neck associated with relevant changes in bone metabolic parameters. CONCLUSION: Neither osteodensitometry nor bone metabolism parameters showed significant group effects after 1 year of treatment with ESL. Individual fluctuations were observed, however, which may warrant monitoring for longer follow-up periods. The study was registered in the German register for clinical studies under the number DRKS00010430 with the official name BONAPARTE.

Value of ultralong-term subcutaneous EEG monitoring for treatment decisions in temporal lobe epilepsy: A case report.

Treatment decisions in epilepsy critically depend on information on the course of the disease, its severity and options for specific local interventions. We here report a patient with pharmaco-resistant non-lesional temporal lobe epilepsy with evidence for predominant right temporal epileptogenesis. While seizure frequency had been grossly underestimated for many years, ultralong-term monitoring with a subcutaneous EEG device revealed actual seizure frequency (66 over 11 months vs four patient-documented seizures), providing objective data on treatment efficacy and additional supportive lateralizing information that played a decisive role for the choice of surgical treatment, which had been rejected by the patient prior to this information.

[Deep healing-Comments on the ethical risks and chances of artificial intelligence]. / Tiefe Heilung ­ ein Kommentar zu ethischen Risiken und Chancen der künstlichen Intelligenz.

Hardly any other field of application of artificial intelligence (AI) needs more ethics by design than medicine; however, if a deep integration of ethical principles succeeds there is a chance of "deep healing", for each individual and also for medicine and the healthcare system itself. Thus, AI in medicine could also become a blueprint for how AI should enter society and culture.

[How trustworthy is artificial intelligence? : A model for the conflict between objectivity and subjectivity]. / Wie vertrauenswürdig ist künstliche Intelligenz? : Ein Modell für das Spannungsfeld zwischen Objektivität und Subjektivität.

For the integration of artificial intelligence (AI) systems into medical processes it is decisive to address both the trustworthiness of these systems and the trust that physicians and patients have in those systems. Too much trust can result in physicians uncritically relying on this technology, while too little trust may result in physicians not taking advantage of the full potential of AI-based technology in making decisions. To strike a balance between these extremes it is crucial to correctly assess the trustworthiness of a system. Only in this way is it possible to decide whether or the system can be trusted or not. This article describes these relationships for the medical context. We show why trustworthiness and trust are important in the use of AI-based systems and how individuals can come to an accurate assessment of the trustworthiness of AI-based systems.

Surgical management of uterine fibroids.

PURPOSE OF REVIEW: Fibroids are benign pelvic masses and constitute the most common gynaecological condition. They create a significant health and social burden to many women because of heavy menstrual bleeding and fibroid pressure symptoms. Many women will be faced with the dilemma of surgical management to improve their symptoms at some point of their reproductive age. The aim of this article is to identify current surgical management of fibroids describing the technical steps, advantages, disadvantages and risks of each method. RECENT FINDINGS: The surgical management of fibroids remains challenging, as the overall prevalence, the clinical experience and the patient awareness is increasing because of an upgrade in our sonographic and magnetic resonance diagnostic tools. Unfortunately not every patient is able to benefit from tailor-made surgery that holistically evaluates individual needs including fertility aspirations. SUMMARY: This article provides the most current synopsis of every available surgical modality for fibroid management. Large prospective multicentre cohort studies are needed to definitely determine the most suitable operation for any individual suffering with fibroids; and perhaps artificial intelligence may offer a valuable tool in the future data analysis.

Trends in referral patterns to presurgical evaluation at a European reference center.

PURPOSE: To determine if growing evidence for epilepsy surgery as an early treatment option is reflected in the decrease of latencies between epilepsy onset and referral for presurgical evaluation METHODS: Retrospective analysis of latencies in 1646 patients (children and adults) from the time of epilepsy diagnosis to first presurgical workup in the period from 1999 to 2019 based on electronic patient charts at a tertiary epilepsy center. Time spans 1999-2009 and 2010-2019, prior to and following the ILAE definition of pharmacoresistance, and the role of etiological factors were assessed. RESULTS: Over the whole period, the mean latency between diagnosis and a presurgical workup was 15.3 y. There was a significant reduction in the latencies between the periods 1999-2009 (16.9 y) and 2010-2019 (13.4 y), (p < 0.0001). In a linear regression analysis, the latency decreased by 2.6 months/year from 17.4 in 1999 to 13.1 y in 2019 (p < 0.001). Subgroup analyses showed significant decreases in latency to presurgical evaluation in patients with hippocampal sclerosis from 24.4 to 19.5 y, in malformations of cortical development from 16.4 to 13.2 y, and in nonlesional patients from 18.1 to 12.8 y, in contrast to patients with MR evidence for brain tumors with similar latencies across time (10.5 vs. 9.5 y, n.s.). CONCLUSION: The reduction of the time span to a first presurgical evaluation was highly significant over time, yet moderate in its degree. Overall, the aim of early diagnostic evaluation for epilepsy surgery options after established pharmacoresistance was only achieved for a minority of patients.

Perioperative hormone treatment of endometriosis.

PURPOSE OF REVIEW: The use of hormonally suppressive medication to reduce levels of reproductive hormones around the time of surgery is widely used in the management of endometriosis. This review summarizes the current evidence concerning the perioperative use of hormonal treatment in the management of endometriosis. RECENT FINDINGS: European Society of Human Reproduction and Embryology (ESHRE) guidanceSurgical Outcomes and Complications of Laparoscopic Hysterectomy for Endometriosis: A Multicentre Cohort StudyPre and postsurgical medical therapy for endometriosis surgery. Cochrane 2020Postoperative hormonal treatment for prevention of endometrioma recurrence after ovarian cystectomy: a systematic review and network meta-analysis. BJOG 2021. SUMMARY: The literature highlights the importance of hormonal treatment for symptom relief, reduced surgical complications and postoperative benefits, including a reduction in pain, disease recurrence and improved pregnancy rates. The treatment of endometriosis can be broadly categorized into medical, commonly using hormonal suppression medications and surgical, in which endometriosis tissue is excised or ablated. This review aims to outline current management strategies and examines the relationship between the two treatment modalities.

Listening to anxiety in persons with epilepsy. Development of an integrative assessment model based on qualitative interviews.

OBJECTIVE: The differentiation and assessment of anxiety in persons with epilepsy is the subject of current research. There is no consensus on which forms of anxiety are epilepsy-specific, what pathological significance they have, and how they should be conceptually systematized. The aim of this study was to detect formal landmarks that organize and further distinguish the clinical multitude of epilepsy-related anxiety, thereby establishing a basis on which an integrative assessment of epilepsy-specific fears can be developed. METHOD: Twenty-six patients with epilepsy-related fears were recruited for qualitative interviews at the Epilepsy Center of Freiburg in Germany. Prevalent types of anxiety included both periictal and interictal anxiety. Patients reported how living with epilepsy is associated with anxiety and to what extent. After an open interview, semi-structured questions were asked concerning epilepsy-specific anxiety, referring to established concepts and items. The contents of the interviews relating to anxiety were transcribed. RESULTS: The reported fears associated with epilepsy reflect the individual "pathography" of each patient. The potentially anxiety-inducing events within this pathography include the first seizure(s), especially in cases involving the amygdalae; the process of diagnostic procedures; therapy, including side effects of antiseizure medication, surgery as a therapeutic option, or a difficult physician-patient relationship; and the further course of the disease, including the fear of disease progression with brain damage, cognitive deterioration, or professional and social disintegration. The integrative assessment model derived from the pathography of the interviewed patients thus reflects the dynamics and quality of epilepsy-specific fears, especially in relation to the healthcare system, without instantly pathologizing them. It highlights that anxiety, to a variable degree, is perceived as an adequate and comprehensible emotion and might be a problem long before the diagnosis is made in the case of ictal fear. Furthermore, anxiety symptoms may (re-)emerge, consolidate, modulate, diminish, or even aggravate during the course of the disease. The integrative assessment model maps crucial events inherent to the healthcare system that may become relevant as objects of prevention, intervention, and therapy. CONCLUSION: The integrative assessment model can serve as a heuristic framework from which an integrative self-report questionnaire of epilepsy-specific anxiety might be designed. On the one hand, this would help to better understand the interrelation between epilepsy and anxiety in terms of their temporal occurrence and interdependence scientifically. On the other hand, it would allow for the enhancement of individual preventive and therapeutic measures for affected patients.