Serotonin syndrome in a patient with chronic pain taking analgesic drugs mistaken for psychogenic nonepileptic seizure: a case report.
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SUBMITTER: Boudier-Reveret M
PROVIDER: S-EPMC8688781 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Abstract Psychogenic nonepileptic seizures, also called Functional Seizures, are a highly disabling form of Functional Neurological Disorder. The diagnosis of PNES could be missed in clinical scenarios where patients exhibit concurrent musculoskeletal/neurological findings. Characterization of convulsions and judicious use of diagnostics are equally valuable in establishing the diagnosis. Psychogenic nonepileptic seizures (PNES), also called functional seizures (FS), are a common and highly disabling form of functional neurological disorder (FND). The diagnosis of PNES could be missed or delayed in various clinical scenarios, including where patients exhibit concurrent musculoskeletal/neurological findings. Clinical characterization of convulsions and judicious use of diagnostics are equally valuable in establishing the diagnosis. Once PNES is diagnosed, access to empathetic, continuous, multidisciplinary support remains the mainstay of recovery.
| S-EPMC9552981 | biostudies-literature
Project description:Video-encephalographic (vEEG) seizure recordings make essential contributions to the differentiation of epilepsy and psychogenic nonepileptic seizures (PNES). The yield of vEEG examinations can be increased through suggestive seizure manipulation (SSM) (ie, activation/provocation/cessation procedures), but its use has raised ethical concerns. In preparation for guidelines on the investigation of patients with PNES, the ILAE PNES Task Force carried out an international survey to investigate practices of and opinions about SSM. An online questionnaire was developed by the ILAE PNES Task Force. Questions were asked at clinical unit or individual respondent level. All ILAE chapters were encouraged to send questionnaires to their members. The survey was open from July 1, 2019, to August 31, 2019. A total of 487 clinicians from 411 units across 94 countries responded. Some form of SSM was used in 296/411 units (72.0%). Over 90% reported the use of verbal suggestion, over 80% the use of activation procedures also capable of eliciting epileptic activity (hyperventilation or photic stimulation). Only 26.3% of units used techniques specifically intended to provoke PNES (eg, saline injection). Fewer than 10% of units had established protocols for SSM, only 20% of units required written patient consent, in 12.2% of units patients received explicitly false information to provoke seizures. Clinicians using SSM tended to perceive no ethical problems, whereas those not using SSM were likely to have ethical concerns about these methods. We conclude that the use of invasive nocebo techniques intended to provoke PNES in diagnostic settings has declined, but SSM is commonly combined with activation procedures also capable of eliciting epileptic activity. While research suggests that openness about the use of PNES-specific nocebo techniques does not reduce diagnostic yield, very few units have suggestion protocols or seek patient consent. This could be addressed through establishing consensus guidance for the practice of SSM.
| S-EPMC8408588 | biostudies-literature
Project description:ObjectiveThere have been few treatment trials for psychogenic nonepileptic seizures (PNES). Some psychotherapies have been shown to improve PNES and comorbid symptom outcomes. We evaluated a pharmacologic intervention to test the hypothesis that sertraline would reduce PNES.MethodsWe conducted a pilot, double-blind, randomized, placebo-controlled trial in an academic medical hospital with epilepsy center outpatients. Subjects aged 18 to 65 years diagnosed with video-EEG-confirmed PNES were treated with flexible-dose sertraline or placebo over 12 weeks. Seizure calendars and symptom scales were charted prospectively. Secondary outcome measures included psychiatric symptom scales and psychosocial variables.ResultsThirty-eight subjects enrolled, and 26 (68%) completed the trial. Thirty-three subjects with nonzero nonepileptic seizure rates at baseline were included in intent-to-treat analysis of the primary outcome. Subjects assigned to the sertraline arm experienced a 45% reduction in seizure rates from baseline to final visit (p = 0.03) vs an 8% increase in placebo (p = 0.78). Secondary outcome scales revealed no significant between-group differences in change scores from baseline to final visit, after adjustment for differences at baseline.ConclusionsPNES were reduced in patients treated with a serotonin selective reuptake inhibitor, whereas those treated with placebo slightly increased. This study provides feasibility data for a larger-scale study.Level of evidenceThis study provides Class II evidence that flexible-dose sertraline up to a maximum dose of 200 mg is associated with a nonsignificant reduction in PNES rate compared with a placebo control arm (risk ratio 0.51, 95% confidence interval 0.25-1.05, p = 0.29), adjusting for differences at baseline.
| S-EPMC3013487 | biostudies-literature
Project description:ObjectivePsychogenic movement disorder (PMD) and psychogenic nonepileptic seizures (PNES) are two subtypes of conversion disorder (CD). In this case-control study, we asked whether these subtypes varied as a function of personality and history of childhood abuse.MethodsFifty-nine patients with PMD from the Human Motor Control Section Clinic at the National Institutes of Health, 43 patients with PNES from the Rhode Island Hospital Neuropsychiatry and Behavioral Neurology Division, and 26 healthy volunteers (HC) received a battery of neurological, psychiatric and psychological assessments, including the NEO Personality Inventory Revised (NEO PI-R), the Childhood Trauma Questionnaire (CTQ), and the Traumatic Life Events Questionnaire (TLEQ).ResultsOne-way ANOVA between the three groups indicated significant differences in overall domains of Neuroticism (p=0.001) and Conscientiousness (p=0.009): Patients with PNES reported significantly greater levels of Neuroticism (p=0.002) and lower levels of Conscientiousness (p=0.023) than patients with PMD. Levels of Neuroticism remained significantly higher in both PMD and PNES than HC following correction for multiple comparisons. Patients with PNES reported greater levels of depressive and anxiety symptoms, overall psychopathology, greater history of sexual abuse, greater levels of alexithymia, higher levels of dissociative symptoms, and an earlier age at which they experienced their most distressing traumatic event than patients with PMD.ConclusionsThese findings suggest that personality traits, type of abuse and age of onset of trauma varies as a function of CD subtype. Patients with PNES rated greater Neuroticism and lower Conscientiousness than patients with PMD. These differing psychological profiles may inform differing treatment approaches such as psychological therapies for PNES and physiotherapy (with/without psychotherapy) for PMD.
| S-EPMC5572831 | biostudies-literature
Project description:Psychogenic or functional neurological disorders (FND) often occur in the practice of a neurologist. Diagnosis of FND usually causes significant difficulties. Among FND, psychogenic non-epileptic seizures (PNES) comprise around 40% cases. Sometimes it is necessary to differentiate PNES from narcolepsy. We describe a 55-year-old man with frequent brief and sudden sleep-like attacks in combination with nocturnal sleep disturbance. During attacks he was unresponsive, snoring but maintained posture. He resisted passive eye opening but with rolling eyes. The patient was confused on waking. In the interictal period, there were FND signs including give-way weakness of the left hand, typical functional "leg-dragging" gait, mistake in the finger-to-nose test. Video-electroencephalogram monitoring did not detect specific epileptic activity or sleep pattern during the attacks. Polysomnography showed multiple waking episodes during the night, but no typical pattern of narcolepsy was found in the multiple sleep latency test. The patient had frequent urgent hospitalizations due to different diseases and numerous invasive procedures. Six month later, the patient obtained state related disability financial benefit, after which hospitalizations in various hospitals continued, and PNES became shorter and less pronounced.
| S-EPMC7772851 | biostudies-literature
Project description:ObjectiveTo compare cognitive-behavioral therapy (CBT) and standard medical care (SMC) as treatments for psychogenic nonepileptic seizures (PNES).MethodsOur randomized controlled trial (RCT) compared CBT with SMC in an outpatient neuropsychiatric setting. Sixty-six PNES patients were randomized to either CBT (plus SMC) or SMC alone, scheduled to occur over 4 months. PNES diagnosis was established by video-EEG telemetry for most patients. Exclusion criteria included comorbid history of epilepsy, <2 PNES/month, and IQ <70. The primary outcome was seizure frequency at end of treatment and at 6-month follow-up. Secondary outcomes included 3 months of seizure freedom at 6-month follow-up, measures of psychosocial functioning, health service use, and employment.ResultsIn an intention-to-treat analysis, seizure reduction following CBT was superior at treatment end (group x time interaction p < 0.0001; large to medium effect sizes). At follow-up, the CBT group tended to be more likely to have experienced 3 months of seizure freedom (odds ratio 3.125, p = 0.086). Both groups improved in some health service use measures and on the Work and Social Adjustment Scale. Mood and employment status showed no change.ConclusionsOur findings suggest that cognitive-behavioral therapy is more effective than standard medical care alone in reducing seizure frequency in PNES patients.Classification of evidenceThis study provides Class III evidence that CBT in addition to SMC, as compared to SMC alone, significantly reduces seizure frequency in patients with PNES (change in median monthly seizure frequency: baseline to 6 months follow-up, CBT group, 12 to 1.5; SMC alone group, 8 to 5).
| S-EPMC2905892 | biostudies-literature
Project description:Psychogenic nonepileptic seizures (PNES) are sudden, involuntary seizure-like attacks that, unlike epileptic seizures, are not related to electrographic ictal discharges and are psychological in nature. Psychogenic nonepileptic seizures presenting symptoms mimic a wide array of nervous system dysfunctions, as they involve changes in behavior, motor activity, sensation, cognitive, and autonomic functions. Spontaneous paroxysms of laughing resembling gelastic seizure have only exceptionally been reported as main symptom of PNES. Here, we describe the cases of two patients with a prolonged history of laughter attacks mistaken for epilepsy and unresponsive to AED treatment. Brain MRI and interictal EEG were unremarkable. Video-EEG monitoring allowed us to document the spontaneous and suggestion-induced habitual episodes that were then diagnosed as PNES.
| S-EPMC4543217 | biostudies-literature
Project description:Psychogenic nonepileptic seizures (PNES) are diagnosed in approximately 30% of patients referred to tertiary care epilepsy centers. Little is known about the molecular pathology of PNES, much less about possible underlying genetic factors. We generated whole-exome sequencing and whole-genome genotyping data to identify rare, pathogenic (P) or likely pathogenic (LP) variants in 102 individuals with PNES and 448 individuals with focal (FE) or generalized (GE) epilepsy. Variants were classified for all individuals based on the ACMG-AMP 2015 guidelines. For research purposes only, we considered genes associated with neurological or psychiatric disorders as candidate genes for PNES. We observe in this first genetic investigation of PNES that six (5.88%) individuals with PNES without coexistent epilepsy carry P/LP variants (deletions at 10q11.22-q11.23, 10q23.1-q23.2, distal 16p11.2, and 17p13.3, and nonsynonymous variants in NSD1 and GABRA5). Notably, the burden of P/LP variants among the individuals with PNES was similar and not significantly different to the burden observed in the individuals with FE (3.05%) or GE (1.82%) (PNES vs. FE vs. GE (3 × 2 χ2), P = 0.30; PNES vs. epilepsy (2 × 2 χ2), P = 0.14). The presence of variants in genes associated with monogenic forms of neurological and psychiatric disorders in individuals with PNES shows that genetic factors are likely to play a role in PNES or its comorbidities in a subset of individuals. Future large-scale genetic research studies are needed to further corroborate these interesting findings in PNES.
| S-EPMC7495430 | biostudies-literature
Project description:PURPOSE:Differentiating psychogenic non-epileptic seizures (PNES) from epileptic seizures (ES) can be difficult, even when expert clinicians have video recordings of seizures. Moreover, witnesses who are not trained observers may provide descriptions that differ from the expert clinicians', which often raises concern about whether the patient has both ES and PNES. As such, quantitative, evidence-based tools to help differentiate ES from PNES based on patients' and witnesses' descriptions of seizures may assist in the early, accurate diagnosis of patients. METHODS:Based on patient- and observer-reported data from 1372 patients with diagnoses documented by video-elect roencephalography (vEEG), we used logistic regression (LR) to compare specific peri-ictal behaviors and seizure triggers in five mutually exclusive groups: ES, PNES, physiologic non-epileptic seizure-like events, mixed PNES plus ES, and inconclusive monitoring. To differentiate PNES-only from ES-only, we retrospectively trained multivariate LR and a forest of decision trees (DF) to predict the documented diagnoses of 246 prospective patients. RESULTS:The areas under the receiver operating characteristic curve (AUCs) of the DF and LR were 75% and 74%, respectively (empiric 95% CI of chance 37-62%). The overall accuracy was not significantly higher than the naïve assumption that all patients have ES (accuracy DF 71%, LR 70%, naïve 68%, p > 0.05). CONCLUSIONS:Quantitative analysis of patient- and observer-reported peri-ictal behaviors objectively changed the likelihood that a patient's seizures were psychogenic, but these reports were not reliable enough to be diagnostic in isolation. Instead, our scores may identify patients with "probable" PNES that, in the right clinical context, may warrant further diagnostic assessment.
| S-EPMC6526032 | biostudies-literature
Project description:ObjectiveDifferential diagnosis between epileptic seizures and psychogenic nonepileptic events (PNEEs) is a worldwide problem for neurologists. The present study aims to identify important characteristics from body fluid tests and develop diagnostic models based on them.MethodsThis is a register-based observational study in patients with a diagnosis of epilepsy or PNEEs at West China Hospital of Sichuan University. Data from body fluid tests between 2009 and 2019 were used as a training set. We constructed models with a random forest approach in eight training subsets divided by sex and categories of tests, including electrolyte, blood cell, metabolism, and urine tests. Then, we collected data prospectively from patients between 2020 and 2022 to validate our models and calculated the relative importance of characteristics in robust models. Selected characteristics were finally analyzed with multiple logistic regression to establish nomograms.ResultsA total of 388 patients, including 218 with epilepsy and 170 with PNEEs, were studied. The AUROCs of random forest models of electrolyte and urine tests in the validation phase achieved 80.0% and 79.0%, respectively. Carbon dioxide combining power, anion gap, potassium, calcium, and chlorine in electrolyte tests and specific gravity, pH, and conductivity in urine tests were selected for the logistic regression analysis. C (ROC) of the electrolyte and urine diagnostic nomograms achieved 0.79 and 0.85, respectively.SignificanceThe application of routine indicators of serum and urine may help in the more accurate identification of epileptic and PNEEs.
| S-EPMC10472377 | biostudies-literature