Predictors of Mortality in Older Adults With Epilepsy: Implications for Learning Health Systems

Incident Epilepsy Among US Medicare Beneficiaries, 2019: Differences by Age, Sex, and Race/Ethnicity

BACKGROUND AND OBJECTIVES

Epilepsy is common among older adults, but previous incident studies have had limited ability to make comparisons across key subgroups. We aimed to provide updated epilepsy incidence estimates among older adults, comparing across age, sex, and race/ethnicity.

METHODS

Using a random sample of 4,999,999 US Medicare beneficiaries older than 65 years, we conducted a retrospective cohort study of epilepsy incidence using administrative claims for 2016-2019. Sampled beneficiaries were enrolled in the Fee-for-Service (FFS) program in each of 2016-2018 and had no epilepsy claims in those years. Non-Hispanic Black and Hispanic beneficiaries were oversampled to ensure adequate cases for detailed comparisons. Incidence in 2019 was identified in the Master Beneficiary Summary File as ≥1 inpatient claim or ≥2 outpatient nondrug claims occurring at least 1 day apart (ICD-10 G40.x). Incidence models were estimated by age, sex, race/ethnicity, and combinations thereof, with adjustment for the racial/ethnic oversampling.

RESULTS

We identified 20,545 incident epilepsy cases. The overall epilepsy incidence rate (IR) was 393 per 100,000 (99% CI 385-400). Incidence peaked at ages 85-89 (504 [481-529]) and was higher for men (396 [385-407]) than women (376 [366-385]). The sex difference in IRs was constant with age. Incidence was higher for non-Hispanic Black (678 [653-702]) and Hispanic (405 [384-426]), and lower for non-Hispanic Asian/Pacific Islander (272 [239-305]) beneficiaries, compared with non-Hispanic White beneficiaries (354 [299-408]). The age-specific IRs significantly differed by race/ethnicity and sex, but only among non-Hispanic Black beneficiaries-where men had higher rates at younger ages and women at older ages.

DISCUSSION

We found higher epilepsy IRs among those enrolled in the Medicare FFS system 2016-2019 than previous studies using Medicare claims data from at least a decade ago. The risk of epilepsy onset is higher for those in their late 80s, men, and non-Hispanic Black and Hispanic older adults. There is also evidence that these age-graded risks operate differently for Black men and Black women. Efforts to provide care and services that improve quality of life for older adults living with epilepsy should consider differences by multiple social characteristics simultaneously: age, sex, and race/ethnicity.

Emerging Trends in Neuropalliative Care: A Palliative Approach to Epilepsy and Seizure Management in Adults

Management of severe (drug-resistant) epilepsy and epilepsy in other serious illnesses is multidimensional and requires consideration of both physical symptoms and psychosocial distress that require individualized treatment. Palliative care offers a holistic approach to disease that focuses on all dimensions of suffering to maintain quality of life. Integration of a palliative care mind- and skillset in the management of severe epilepsy and epilepsy in other serious illnesses can provide person-centered care and support for families and caregivers.

Comorbidities in Hispanic/Latino Veterans with epilepsy

BACKGROUND

Hispanic/Latino people with epilepsy may be at a differential risk of medical and psychiatric comorbidities given genetic, environmental, sociocultural, and quality of care factors. In people with epilepsy, comorbidities are especially crucial to investigate given the well-known impact on quality of life and risk of adverse outcomes. Yet, Hispanic/Latino Veterans with Epilepsy (HL-VWE) remain an understudied population. The present nationwide population study sought to investigate medical and psychiatric comorbidities in this group.

METHODS

Data from the Veterans Health Administration (VHA) Corporate Data Warehouse administrative data were used to identify 56,556 VWE (5.7 % HL-VWE) using a one-year cross-sectional analysis of ICD codes. Elixhauser Comorbidity Index scores and psychiatric diagnoses were calculated based on ICD-9/ICD-10-CM diagnoses using a lookback period. Comparisons were made between HL-VWE and non-HL-VWE using chi-squared and student t-tests. Regression analyses were then performed to examine group differences while accounting for age.

RESULTS

HL-VWE had higher probability of being diagnosed with several psychiatric conditions when accounting for age, including depression (OR 1.21, 95 % CI 1.13-1.31) and schizophrenia (OR 1.56, 95 % CI 1.31-1.84). There were no significant differences in medical comorbidities between the HL-VWE and non-HL-VWE groups.

CONCLUSIONS

We present results from the largest known study of HL people with epilepsy examining their psychiatric and medical comorbidities and one of the first to specifically study HL-VWE. Compared to non-HL-VWE, the Hispanic/Latino group had comparable medical comorbidity, but higher rates of multiple psychiatric conditions. Results indicate a need for increased screening and interventions in this population to reduce psychiatric disease burden.

Clinical prediction models for treatment outcomes in newly diagnosed epilepsy: A systematic review

Up to 35% of individuals diagnosed with epilepsy continue to have seizures despite treatment, commonly referred to as drug-resistant epilepsy. Uncontrolled seizures can directly, or indirectly, negatively impact an individual's quality of life. To inform clinical management and life decisions, it is important to be able to predict the likelihood of seizure control. Those likely to achieve seizure control will be able to return sooner to their usual work and leisure activities and require less follow-up, whereas those with a poor prognosis will need more frequent clinical attendance and earlier consideration of epilepsy surgery. This is a systematic review aimed at identifying demographic, clinical, physiological (e.g., electroencephalographic), and imaging (e.g., magnetic resonance imaging) factors that may be predictive of treatment outcomes in patients with newly diagnosed epilepsy (NDE). MEDLINE and Embase were searched for prediction models of treatment outcomes in patients with NDE. Study characteristics were extracted and subjected to assessment of risk of bias (and applicability concerns) using the PROBAST (Prediction Model Risk of Bias Assessment Tool) tool. Baseline variables associated with treatment outcomes are reported as prognostic factors. After screening, 48 models were identified in 32 studies, which generally scored low for concerns of applicability, but universally scored high for susceptibility to bias. Outcomes reported fit broadly into four categories: drug resistance, short-term treatment response, seizure remission, and mortality. Prognostic factors were also heterogenous, but the predictors that were commonly significantly associated with outcomes were those related to seizure characteristics/types, epilepsy history, and age at onset. Antiseizure medication response was often included as a baseline variable, potentially obscuring other factor relationships at baseline. Currently, outcome prediction models for NDE demonstrate a high risk of bias. Model development could be improved with a stronger adherence to recommended TRIPOD (Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis) practices. Furthermore, we outline actionable changes to common practices that are intended to improve the overall quality of prediction model development in NDE.

Variation in prognosis and treatment outcome in juvenile myoclonic epilepsy: a Biology of Juvenile Myoclonic Epilepsy Consortium proposal for a practical definition and stratified medicine classifications

Reliable definitions, classifications and prognostic models are the cornerstones of stratified medicine, but none of the current classifications systems in epilepsy address prognostic or outcome issues. Although heterogeneity is widely acknowledged within epilepsy syndromes, the significance of variation in electroclinical features, comorbidities and treatment response, as they relate to diagnostic and prognostic purposes, has not been explored. In this paper, we aim to provide an evidence-based definition of juvenile myoclonic epilepsy showing that with a predefined and limited set of mandatory features, variation in juvenile myoclonic epilepsy phenotype can be exploited for prognostic purposes. Our study is based on clinical data collected by the Biology of Juvenile Myoclonic Epilepsy Consortium augmented by literature data. We review prognosis research on mortality and seizure remission, predictors of antiseizure medication resistance and selected adverse drug events to valproate, levetiracetam and lamotrigine. Based on our analysis, a simplified set of diagnostic criteria for juvenile myoclonic epilepsy includes the following: (i) myoclonic jerks as mandatory seizure type; (ii) a circadian timing for myoclonia not mandatory for the diagnosis of juvenile myoclonic epilepsy; (iii) age of onset ranging from 6 to 40 years; (iv) generalized EEG abnormalities; and (v) intelligence conforming to population distribution. We find sufficient evidence to propose a predictive model of antiseizure medication resistance that emphasises (i) absence seizures as the strongest stratifying factor with regard to antiseizure medication resistance or seizure freedom for both sexes and (ii) sex as a major stratifying factor, revealing elevated odds of antiseizure medication resistance that correlates to self-report of catamenial and stress-related factors including sleep deprivation. In women, there are reduced odds of antiseizure medication resistance associated with EEG-measured or self-reported photosensitivity. In conclusion, by applying a simplified set of criteria to define phenotypic variations of juvenile myoclonic epilepsy, our paper proposes an evidence-based definition and prognostic stratification of juvenile myoclonic epilepsy. Further studies in existing data sets of individual patient data would be helpful to replicate our findings, and prospective studies in inception cohorts will contribute to validate them in real-world practice for juvenile myoclonic epilepsy management.

Seizures provoked by over-the-counter cough and cold medications in an elderly patient: a case report

BACKGROUND

Seizures are common neurological emergencies in the elderly that are frequently provoked. Geriatrics have higher rates of neurological disorders and other comorbidities that could affect seizure threshold.

CASE PRESENTATION

An 83-year-old male Arabic patient presented to the emergency department with an acute confusional state and urinary incontinence followed by a witnessed tonic-clonic seizure in the hospital. Thorough investigations and imaging were positive only for nonspecific magnetic resonant imaging findings with a negative electroencephalogram. The patient was diagnosed with provoked seizure due to over-the-counter cold medications that included pseudoephedrine and caffeine. He was not prescribed antiepileptic medications at discharge and did not develop subsequent seizures up to this date.

CONCLUSION

Over-the-counter cough and cold medications with sympathomimetic ingredients can be associated with provoked seizures in the elderly. Physicians should be aware of the potentially serious adverse events associated with commonly used nonprescription sympathomimetics such as pseudoephedrine and caffeine in elderly patients.

Comorbidities in newly diagnosed epilepsy: Pre-existing health conditions are common and complex across age groups

OBJECTIVES

People with epilepsy have a higher prevalence of medical and psychiatric comorbidities compared to the general population. Comorbidities are associated with poor epilepsy outcomes, and there have been recommendations for screening and early identification to improve clinical management. Data from 'First Seizure Clinics' (FSCs) with expert epileptological review can inform about disorders already present at the point of diagnosis of epilepsy or unprovoked seizures. Here, we aimed to describe pre-existing conditions with a focus on psychiatric, substance use, cardiac, neurological, and cancer health domains.

METHODS

We included 1383 adults who received a new diagnosis of epilepsy or unprovoked seizures at Austin Hospital (AH) or Royal Melbourne Hospital (RMH) (Australia) FSCs from 2000 to 2010. Data were audited from FSC records, primarily detailed interviews undertaken by epileptologists. Logistic regression examined age distribution and other risk factors.

RESULTS

The median age at FSC presentation was 37 years (IQR 26-53, range 18-94). Pre-existing conditions were reported by 40 %; from 32 % in the youngest group (18-30 years) to 53 % in the oldest (65+ years). Psychiatric (18 %) and substance use (16 %) disorders were most common, with higher prevalence among patients 18 to 65 years of age compared to those older than 65 years (p < 0.001). Cardiac, neurological, or cancer conditions were reported by 3-6 %, most often amongst those older than 65 years (p < 0.01). Eight percent (n = 112) reported disorders in >1 health domain. The commonest combination was a psychiatric condition with substance use disorder. Of the sixty-two patients reporting this combination, 61 were ≤65 years of age.

CONCLUSIONS

Pre-existing health conditions are present in a substantial proportion of patients diagnosed with epilepsy or unprovoked seizures. Disorders are highest amongst elders, but one-third of younger adults also reported positive histories. These are predominantly psychiatric and/or substance use disorders, conditions strongly associated with poor outcomes in the general population. These findings inform post-diagnosis planning and management, as well as research examining post-diagnostic outcomes and associations between comorbidities and epilepsy.

Mechanisms Involved in Epileptogenesis in Alzheimer's Disease and Their Therapeutic Implications

Epilepsy and Alzheimer's disease (AD) incidence increases with age. There are reciprocal relationships between epilepsy and AD. Epilepsy is a risk factor for AD and, in turn, AD is an independent risk factor for developing epilepsy in old age, and abnormal AD biomarkers in PET and/or CSF are frequently found in late-onset epilepsies of unknown etiology. Accordingly, epilepsy and AD share pathophysiological processes, including neuronal hyperexcitability and an early excitatory-inhibitory dysregulation, leading to dysfunction in the inhibitory GABAergic and excitatory glutamatergic systems. Moreover, both β-amyloid and tau protein aggregates, the anatomopathological hallmarks of AD, have proepileptic effects. Finally, these aggregates have been found in the resection material of refractory temporal lobe epilepsies, suggesting that epilepsy leads to amyloid and tau aggregates. Some epileptic syndromes, such as medial temporal lobe epilepsy, share structural and functional neuroimaging findings with AD, leading to overlapping symptomatology, such as episodic memory deficits and toxic synergistic effects. In this respect, the existence of epileptiform activity and electroclinical seizures in AD appears to accelerate the progression of cognitive decline, and the presence of cognitive decline is much more prevalent in epileptic patients than in elderly patients without epilepsy. Notwithstanding their clinical significance, the diagnosis of clinical seizures in AD is a challenge. Most are focal and manifest with an altered level of consciousness without motor symptoms, and are often interpreted as cognitive fluctuations. Finally, despite the frequent association of epilepsy and AD dementia, there is a lack of clinical trials to guide the use of antiseizure medications (ASMs). There is also a potential role for ASMs to be used as disease-modifying drugs in AD.

Socioeconomic disparities in epilepsy care

PURPOSE OF REVIEW

Epilepsy is a common, chronic neurologic disease with continued disparities in care. The COVID-19 pandemic and recent social movements have drawn greater attention to social determinants of health and our progress (or lack thereof) toward delivering more equitable care.

RECENT FINDINGS

Recent studies continue to document racial and economic disparities in diagnosis, treatment, and overall care of epilepsy and associated conditions. Notably, an increasing number of studies are attempting to design healthcare pathways and other interventions to improve access and equity in epilepsy care.

SUMMARY

The present literature highlights the importance of identifying and addressing the particular needs of vulnerable persons with epilepsy. Practitioners and researchers should continue to develop interventions aimed at improving care for all patients and, crucially, measure the impact of their changes to ensure that any interventions are truly advancing health equity.

Epilepsy and mortality: a retrospective cohort analysis with a nested case-control study identifying causes and risk factors from primary care and linkage-derived data

OBJECTIVES

People with epilepsy (PWE) have a higher mortality rate than the general population. Epilepsy-related deaths have increased despite all-cause mortality decreasing in the general population pre-COVID-19. We hypothesised that clinical and lifestyle factors may identify people more at risk.

DESIGN

We used a retrospective cohort study to explore cause of death and a nested case-control study to identify risk factors.

SETTING

We explored factors associated with mortality using primary care population data from 1 April 2004 to 31 March 2014. Data were obtained from the Clinical Practice Research Datalink which compiles anonymised patient data from primary care in the UK. Cause of death data was supplemented from the Office of National Statistics when available.

PARTICIPANTS

The analysis included 70 431 PWE, with 11 241 registered deaths.

RESULTS

The number of deaths within the database increased by 69% between the first and last year of the study. Epilepsy was considered as a contributing cause in approximately 45% of deaths of PWE under 35. Factors associated with increased risk of death included attendance at emergency departments and/or emergency admissions (OR 3.48, 95% CI 3.19 to 3.80), antiepileptic drug (AED) polytherapy (2 AEDs: OR 1.60, 95% CI 1.51 to 1.71; 3 AEDs: OR 2.06, 95% CI 1.86 to 2.29; 4+AEDs: OR 2.62, 95% CI 2.23 to 3.08), status epilepticus (OR 2.78, 95% CI 1.64 to 4.71), depression (OR 1.67, 95% CI 1.57 to 1.76) and injuries (OR 1.54, 95% CI 1.43 to 1.67). No seizures in the prior year (OR 0.52, 95% CI 0.41 to 0.65).

CONCLUSION

Our results add to existing evidence that deaths in epilepsy are increasing. Future studies could focus on identifying PWE at high risk and addressing them with clinical interventions or better self-management. Identifying specific risk factors for younger people should be a priority as epilepsy may be a factor in close to half of deaths of PWE under 35 years of age.

Causes for Emergency Hospitalization of Neurological Patients With Palliative Care Needs

Background: Acute and unexpected hospitalization can cause serious distress, particularly in patients with palliative care needs. Nevertheless, the majority of neurological inpatients receiving palliative care are admitted via an emergency department.

Objective: Identification of potentially avoidable causes leading to acute hospitalization of patients with neurological disorders or neurological symptoms requiring palliative care.

Methods: Retrospective analysis of medical records of all patients who were admitted via the emergency department and received palliative care in a neurological ward later on (n = 130).

Results: The main reasons for acute admission were epileptic seizures (22%), gait disorders (22%), disturbance of consciousness (20%), pain (17%), nutritional problems (17%), or paresis (14%). Possible therapy limitations, (non)existence of a patient decree, or healthcare proxy was documented in only 31%. Primary diagnoses were neoplastic (49%), neurodegenerative (30%), or cerebrovascular (18%) diseases. Fifty-nine percent were directly admitted to a neurological ward; 25% needed intensive care. On average, it took 24 h until the palliative care team was involved. In contrast to initially documented problems, key challenges identified by palliative care assessment were psychosocial problems. For 40% of all cases, a specialized palliative care could be organized.

Conclusion: Admissions were mainly triggered by acute events. Documentation of the palliative situation and treatment limitations may help to prevent unnecessary hospitalization. Although patients present with a complex symptom burden, emergency department assessment is not able to fully address multidimensionality, especially concerning psychosocial problems. Prospective investigations should develop short screening tools to identify palliative care needs of neurological patients already in the emergency department.