Search

Objective: This study was undertaken to determine reasons for adults with drug-resistant focal epilepsy who undergo presurgical evaluation not proceeding with surgery, and to identify predictors of this course. // Methods: We retrospectively analyzed data on 617 consecutive individuals evaluated for epilepsy surgery at a tertiary referral center between January 2015 and December 2019. We compared the characteristics of those in whom a decision not to proceed with surgical treatment was made with those who underwent definitive surgery in the same period. Multivariate logistic regression was performed to identify predictors of not proceeding with surgery. // Results: A decision not to proceed with surgery was reached in 315 (51%) of 617 individuals evaluated. Common reasons for this were an inability to localize the epileptogenic zone (n = 104) and the presence of multifocal epilepsy (n = 74). An individual choice not to proceed with intracranial electroencephalography (icEEG; n = 50) or surgery (n = 39), risk of significant deficit (n = 33), declining noninvasive investigation (n = 12), and coexisting neurological comorbidity (n = 3) accounted for the remainder. Compared to 166 surgically treated patients, those who did not proceed to surgery were more likely to have a learning disability (odds ratio [OR] = 2.35, 95% confidence interval [CI] = 1.07‒5.16), normal magnetic resonance imaging (OR = 4.48, 95% CI = 1.68–11.94), extratemporal epilepsy (OR = 2.93, 95% CI = 1.82‒4.71), bilateral seizure onset zones (OR = 3.05, 95% CI = 1.41‒6.61) and to live in more deprived socioeconomic areas (median deprivation decile = 40%–50% vs. 50%–60%, p < .05). // Significance: Approximately half of those evaluated for surgical treatment of drug-resistant focal epilepsy do not proceed to surgery. Early consideration and discussion of the likelihood of surgical suitability or need for icEEG may help direct referral for presurgical evaluation.

Introduction Laser interstitial thermal therapy (LITT) is a novel minimally invasive alternative to open mesial temporal resection in drug-resistant mesial temporal lobe epilepsy (MTLE). The safety and efficacy of the procedure are dependent on the pre-planned trajectory and the extent of the ablation achieved. Ablation of the mesial hippocampal head has been suggested to be an independent predictor of seizure freedom, whilst sparing of collateral structures is thought to result in improved neuropsychological outcomes. We aim to validate an automated trajectory planning platform against manually planned trajectories to objectively standardize the process. Methods Using the EpiNav™ platform we compare automated trajectory planning parameters derived from expert opinion and machine learning to undertake a multicentre validation study against manually planned and implemented trajectories in 95 patients with MTLE. We estimate ablation volumes of regions of interest and quantify the size of the avascular corridor through the use of a risk score as a marker of safety. We also undertake blinded external expert feasibility ratings and preference rankings between the trajectories. Results Automated trajectory planning employs a complex algorithm to optimize planning parameters in order to maximize ablation of the mesial hippocampal head and amygdala, whilst sparing the parahippocampal gyrus. Automated trajectories resulted in significantly lower risk scores and greater amygdala ablation percentage, whilst overall hippocampal ablation percentage did not differ significantly. Blinded external expert raters were significantly more likely to give preference to automated compared to manually planned trajectories. Conclusion Retrospective studies of automated trajectory planning show much promise in optimizing safety parameters and ablation volumes during LITT for MTLE. Multi-center validation provides evidence that the algorithm is robust and blinded external expert ratings indicate that the trajectories are clinically feasible. Prospective validation studies are now required to determine if automated trajectories result in improved seizure freedom rates and reduced neuropsychological deficits.

In many studies, interest lies in determining whether members of the study population will undergo a particular event of interest. Such scenarios are often termed 'mover-stayer' scenarios, and interest lies in modelling two sub-populations of 'movers' (those who have a propensity to undergo the event of interest) and 'stayers' (those who do not). In general, mover-stayer scenarios within data sets are accounted for through the use of mixture distributions, and in this paper, we investigate the use of various random effects distributions for this purpose. Using data from the University of Toronto psoriatic arthritis clinic, we present a multi-state model to describe the progression of clinical damage in hand joints of patients with psoriatic arthritis. We consider the use of mover-stayer gamma, inverse Gaussian and compound Poisson distributions to account for both the correlation amongst joint locations and the possible mover-stayer situation with regard to clinical hand joint damage. We compare the fits obtained from these models and discuss the extent to which a mover-stayer scenario exists in these data. Furthermore, we fit a mover-stayer model that allows a dependence of the probability of a patient being a stayer on a patient-level explanatory variable.

ObjectiveTo examine the frequency and characteristics of headaches and their association with global disease activity and health-related quality of life (HRQOL) in patients with systemic lupus erythematosus (SLE). MethodsA disease inception cohort was assessed annually for headache (5 types) and 18 other neuropsychiatric (NP) events. Global disease activity scores (SLE Disease Activity Index 2000 [SLEDAI-2K]), damage scores (Systemic Lupus International Collaborating Clinics/American College of Rheumatology Damage Index [SDI]), and Short Form 36 (SF-36) mental and physical component summary scores were collected. Time to first headache and associations with SF-36 scores were analyzed using Cox proportional hazards and linear regression models with generalized estimating equations. ResultsAmong the 1,732 SLE patients enrolled, 89.3% were female and 48.3% were white. The mean SD age was 34.6 +/- 13.4 years, duration of disease was 5.6 +/- 5.2 months, and length of followup was 3.8 +/- 3.1 years. At enrollment, 17.8% of patients had headache (migraine [60.7%], tension [38.6%], intractable nonspecific [7.1%], cluster [2.6%], and intracranial hypertension [1.0%]). The prevalence of headache increased to 58% after 10 years. Only 1.5% of patients had lupus headache, as identified in the SLEDAI-2K. In addition, headache was associated with other NP events attributed to either SLE or non-SLE causes. There was no association of headache with SLEDAI-2K scores (without the lupus headache variable), SDI scores, use of corticosteroids, use of antimalarials, use of immunosuppressive medications, or specific autoantibodies. SF-36 mental component scores were lower in patients with headache compared with those without headache (mean +/- SD 42.5 +/- 12.2 versus 47.8 +/- 11.3; P < 0.001), and similar differences in physical component scores were seen (38.0 +/- 11.0 in those with headache versus 42.6 +/- 11.4 in those without headache; P < 0.001). In 56.1% of patients, the headaches resolved over followup. ConclusionHeadache is frequent in SLE, but overall, it is not associated with global disease activity or specific autoantibodies. Although headaches are associated with a lower HRQOL, the majority of headaches resolve over time, independent of lupus-specific therapies. (Less)