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1.
J Subst Abuse Treat ; 133: 108552, 2022 02.
Article in English | MEDLINE | ID: mdl-34304950

ABSTRACT

INTRODUCTION: In response to the COVID-19 pandemic, a federal exemption allowed stable and less stable patients greater take-home doses of methadone. We assessed the adoption of increased take-home medication during COVID-19 and whether increased take-home doses is associated with clients' characteristics. METHODOLOGY: We completed a pre-post study of adults receiving methadone for OUD from an OTP in Spokane, Washington. Our outcome was the change in the number of take-home methadone doses three months before and three months after the March 2020 take-home medication exemption. Clients' characteristics included age, gender, ethnicity, education level, homelessness, spatial access to the clinic, and methamphetamine use. RESULTS: The study included 194 clients in treatment for a median of three years. All study participants experienced an average increase in take-home medication of 41.4 in the three-month period after the COVID-19 exemption. In the final adjusted models, clients who reported using methamphetamine in the last 30 days experienced a significantly larger increase in take-home dosage (55.6 days) compare to clients who did not use methamphetamine (p ≤0.001). Most of the clients who reported using methamphetamine were also likely to be homeless. All other variables were not associated with a change in take-home doses. CONCLUSION: These results suggest that the Spokane OTP quickly expanded take-home medication dosing in response to the COVID-19 exemption and broadly expanded take-home dosing among established clients. Clients with concurrent methamphetamine use were allowed fewer take-home doses prior to COVID-19, but after the exemption the clinic provided them the same number of take-home doses as clients who had not used methamphetamine.


Subject(s)
COVID-19 , Opioid-Related Disorders , Adult , Humans , Methadone/therapeutic use , Opiate Substitution Treatment , Opioid-Related Disorders/drug therapy , Pandemics , SARS-CoV-2
2.
Epilepsia ; 61(11): 2500-2508, 2020 11.
Article in English | MEDLINE | ID: mdl-32944938

ABSTRACT

OBJECTIVE: Childhood epilepsy with centrotemporal spikes (CECTS) is a common, focal, transient, developmental epilepsy syndrome characterized by unilateral or bilateral, independent epileptiform spikes in the Rolandic regions of unknown etiology. Given that CECTS presents during a period of dramatic white matter maturation and thatspikes in CECTS are activated during non-rapid eye movement (REM) sleep, we hypothesized that children with CECTS would have aberrant development of white matter connectivity between the thalamus and the Rolandic cortex. We further tested whether Rolandic thalamocortical structural connectivity correlates with spike rate during non-REM sleep. METHODS: Twenty-three children with CECTS (age = 8-15 years) and 19 controls (age = 7-15 years) underwent 3-T structural and diffusion-weighted magnetic resonance imaging and 72-electrode electroencephalographic recordings. Thalamocortical structural connectivity to Rolandic and non-Rolandic cortices was quantified using probabilistic tractography. Developmental changes in connectivity were compared between groups using bootstrap analyses. Longitudinal analysis was performed in four subjects with 1-year follow-up data. Spike rate was quantified during non-REM sleep using manual and automated techniques and compared to Rolandic connectivity using regression analyses. RESULTS: Children with CECTS had aberrant development of thalamocortical connectivity to the Rolandic cortex compared to controls (P = .01), where the expected increase in connectivity with age was not observed in CECTS. There was no difference in the development of thalamocortical connectivity to non-Rolandic regions between CECTS subjects and controls (P = .19). Subjects with CECTS observed longitudinally had reductions in thalamocortical connectivity to the Rolandic cortex over time. No definite relationship was found between Rolandic connectivity and non-REM spike rate (P > .05). SIGNIFICANCE: These data provide evidence that abnormal maturation of thalamocortical white matter circuits to the Rolandic cortex is a feature of CECTS. Our data further suggest that the abnormalities in these tracts do not recover, but are increasingly dysmature over time, implicating a permanent but potentially compensatory process contributing to disease resolution.


Subject(s)
Action Potentials/physiology , Cerebral Cortex/physiopathology , Epilepsy, Rolandic/physiopathology , Nerve Net/physiopathology , Thalamus/physiopathology , White Matter/physiopathology , Adolescent , Cerebral Cortex/diagnostic imaging , Child , Child, Preschool , Electroencephalography/methods , Epilepsy, Rolandic/diagnostic imaging , Female , Humans , Male , Nerve Net/diagnostic imaging , Thalamus/diagnostic imaging , White Matter/diagnostic imaging
3.
Brain Commun ; 1(1): fcz002, 2019.
Article in English | MEDLINE | ID: mdl-31608323

ABSTRACT

Benign epilepsy with centrotemporal spikes is a common childhood epilepsy syndrome that predominantly affects boys, characterized by self-limited focal seizures arising from the perirolandic cortex and fine motor abnormalities. Concurrent with the age-specific presentation of this syndrome, the brain undergoes a developmentally choreographed sequence of white matter microstructural changes, including maturation of association u-fibres abutting the cortex. These short fibres mediate local cortico-cortical communication and provide an age-sensitive structural substrate that could support a focal disease process. To test this hypothesis, we evaluated the microstructural properties of superficial white matter in regions corresponding to u-fibres underlying the perirolandic seizure onset zone in children with this epilepsy syndrome compared with healthy controls. To verify the spatial specificity of these features, we characterized global superficial and deep white matter properties. We further evaluated the characteristics of the perirolandic white matter in relation to performance on a fine motor task, gender and abnormalities observed on EEG. Children with benign epilepsy with centrotemporal spikes (n = 20) and healthy controls (n = 14) underwent multimodal testing with high-resolution MRI including diffusion tensor imaging sequences, sleep EEG recordings and fine motor assessment. We compared white matter microstructural characteristics (axial, radial and mean diffusivity, and fractional anisotropy) between groups in each region. We found distinct abnormalities corresponding to the perirolandic u-fibre region, with increased axial, radial and mean diffusivity and fractional anisotropy values in children with epilepsy (P = 0.039, P = 0.035, P = 0.042 and P = 0.017, respectively). Increased fractional anisotropy in this region, consistent with decreased integrity of crossing sensorimotor u-fibres, correlated with inferior fine motor performance (P = 0.029). There were gender-specific differences in white matter microstructure in the perirolandic region; males and females with epilepsy and healthy males had higher diffusion and fractional anisotropy values than healthy females (P ≤ 0.035 for all measures), suggesting that typical patterns of white matter development disproportionately predispose boys to this developmental epilepsy syndrome. Perirolandic white matter microstructure showed no relationship to epilepsy duration, duration seizure free, or epileptiform burden. There were no group differences in diffusivity or fractional anisotropy in superficial white matter outside of the perirolandic region. Children with epilepsy had increased radial diffusivity (P = 0.022) and decreased fractional anisotropy (P = 0.027) in deep white matter, consistent with a global delay in white matter maturation. These data provide evidence that atypical maturation of white matter microstructure is a basic feature in benign epilepsy with centrotemporal spikes and may contribute to the epilepsy, male predisposition and clinical comorbidities observed in this disorder.

4.
Brain ; 142(5): 1296-1309, 2019 05 01.
Article in English | MEDLINE | ID: mdl-30907404

ABSTRACT

In the past decade, brief bursts of fast oscillations in the ripple range have been identified in the scalp EEG as a promising non-invasive biomarker for epilepsy. However, investigation and clinical application of this biomarker have been limited because standard approaches to identify these brief, low amplitude events are difficult, time consuming, and subjective. Recent studies have demonstrated that ripples co-occurring with epileptiform discharges ('spike ripple events') are easier to detect than ripples alone and have greater pathological significance. Here, we used objective techniques to quantify spike ripples and test whether this biomarker predicts seizure risk in childhood epilepsy. We evaluated spike ripples in scalp EEG recordings from a prospective cohort of children with a self-limited epilepsy syndrome, benign epilepsy with centrotemporal spikes, and healthy control children. We compared the rate of spike ripples between children with epilepsy and healthy controls, and between children with epilepsy during periods of active disease (active, within 1 year of seizure) and after a period of sustained seizure-freedom (seizure-free, >1 year without seizure), using semi-automated and automated detection techniques. Spike ripple rate was higher in subjects with active epilepsy compared to healthy controls (P = 0.0018) or subjects with epilepsy who were seizure-free ON or OFF medication (P = 0.0018). Among epilepsy subjects with spike ripples, each month seizure-free decreased the odds of a spike ripple by a factor of 0.66 [95% confidence interval (0.47, 0.91), P = 0.021]. Comparing the diagnostic accuracy of the presence of at least one spike ripple versus a classic spike event to identify group, we found comparable sensitivity and negative predictive value, but greater specificity and positive predictive value of spike ripples compared to spikes (P = 0.016 and P = 0.006, respectively). We found qualitatively consistent results using a fully automated spike ripple detector, including comparison with an automated spike detector. We conclude that scalp spike ripple events identify disease and track with seizure risk in this epilepsy population, using both semi-automated and fully automated detection methods, and that this biomarker outperforms analysis of spikes alone in categorizing seizure risk. These data provide evidence that spike ripples are a specific non-invasive biomarker for seizure risk in benign epilepsy with centrotemporal spikes and support future work to evaluate the utility of this biomarker to guide medication trials and tapers in these children and predict seizure risk in other at-risk populations.


Subject(s)
Action Potentials/physiology , Electroencephalography/methods , Epilepsy, Rolandic/physiopathology , Scalp/physiopathology , Seizures/physiopathology , Adolescent , Child , Child, Preschool , Epilepsy, Rolandic/diagnosis , Female , Humans , Male , Predictive Value of Tests , Risk Factors , Seizures/diagnosis
5.
Brain Behav ; 9(3): e01237, 2019 03.
Article in English | MEDLINE | ID: mdl-30790472

ABSTRACT

INTRODUCTION: Benign epilepsy with centrotemporal spikes (BECTS) is a common form of childhood epilepsy with the majority of those afflicted remitting during their early teenage years. Seizures arise from the lower half of the sensorimotor cortex of the brain (e.g. seizure onset zone) and the abnormal epileptiform discharges observed increase during NREM sleep. To date no clinical factors reliably predict disease course, making determination of ongoing seizure risk a significant challenge. Prior work in BECTS have shown abnormalities in beta band (14.9-30 Hz) oscillations during movement and rest. Oscillations in this frequency band are modulated by state of consciousness and thought to reflect intrinsic inhibitory mechanisms. METHODS: We used high density EEG and source localization techniques to examine beta band activity in the seizure onset zone (sensorimotor cortex) in a prospective cohort of children with BECTS and healthy controls during sleep. We hypothesized that beta power in the sensorimotor cortex would be different between patients and healthy controls, and that beta abnormalities would improve with resolution of disease in this self-limited epilepsy syndrome. We further explored the specificity of our findings and correlation with clinical features. Statistical testing was performed using logistic and standard linear regression models. RESULTS: We found that beta band power in the seizure onset zone is different between healthy controls and BECTS patients. We also found that a longer duration of time spent seizure-free (corresponding to disease remission) correlates with lower beta power in the seizure onset zone. Exploratory spatial analysis suggests this effect is not restricted to the sensorimotor cortex. Exploratory frequency analysis suggests that this phenomenon is also observed in alpha and gamma range activity. We found no relationship between beta power and the presence or rate of epileptiform discharges in the sensorimotor cortex or a test of sensorimotor performance. CONCLUSION: These results provide evidence that cortical beta power in the seizure onset zone may provide a dynamic physiological biomarker of disease in BECTS.


Subject(s)
Electroencephalography/methods , Epilepsy, Rolandic , Seizures/diagnosis , Sensorimotor Cortex , Adolescent , Child , Epilepsy, Rolandic/diagnosis , Epilepsy, Rolandic/physiopathology , Female , Humans , Male , Predictive Value of Tests , Prospective Studies , Risk Assessment/methods , Sensorimotor Cortex/diagnostic imaging , Sensorimotor Cortex/physiopathology
6.
Epilepsy Behav ; 62: 90-6, 2016 09.
Article in English | MEDLINE | ID: mdl-27450312

ABSTRACT

OBJECTIVE: The aim of this study was to compare physician encounter documentation with patient perceptions of quality of epilepsy care and examine the association between quality and patient assessment of provider communication. METHODS: We identified 505 adult patients with epilepsy aged 18years or older over a 3-year period in two large academic medical centers. We abstracted individual, clinical, and care measures from 2723 electronic clinical notes written by physicians. We then randomly selected 245 patients for a phone interview. We compared patient perceptions of care with the documented care for several established epilepsy quality measures. We also explored the association of patient's perception of provider communication with provider documentation of key encounter interventions. RESULTS: There were 88 patients (36%) who completed the interviews. Fifty-seven (24%) refused to participate, and 100 (40%) could not be contacted. Participants and nonparticipants were comparable in their demographic and clinical characteristics; however, participants were more often seen by epilepsy specialists than nonparticipants (75% vs. 61.9%, p<0.01). Quality scores based on patient perceptions differed from those determined by assessing the documentation in the medical record for several quality measures, e.g., documentation of side effects of antiseizure therapy (p=0.05), safety counseling (p<0.01), and counseling for women of childbearing potential with epilepsy (McNemar's p=0.03; intraclass correlation coefficient, ICC=0.07). There was a significant, positive association between patient-reported counseling during the encounter (e.g., personalized safety counseling) and patient-reported scores of provider communication (p=0.05). CONCLUSIONS: The association between the patient's recollection of counseling during the visit and his/her positive perception of the provider's communication skills highlights the importance of spending time counseling patients about their epilepsy and not just determining if seizures are controlled.


Subject(s)
Epilepsy/drug therapy , Medical Records , Perception , Physician-Patient Relations , Quality of Health Care , Adult , Communication , Epilepsy/psychology , Female , Humans , Male , Middle Aged , Physicians , Young Adult
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