Prevalence and healthcare resource utilization of patients with Dravet syndrome: Retrospective linkage cohort study.

PURPOSE: Prevalence, demography, antiseizure medication (ASM) usage, healthcare resource utilization (HCRU), and mortality of Dravet syndrome (DS) in the UK were investigated using primary and secondary care data in this retrospective cohort study. METHODS: Patients with confirmed DS were anonymously identified from the UK Clinical Practice Research Datalink (CPRD) GOLD database (01/01/1987-31/10/2018) using the DS Read Codes (F25G.11 or F25G.00). Probable DS was identified using the International Classification of Diseases-10/Read Code for epilepsy plus stiripentol or potassium bromide prescription. CPRD data were linked to the Hospital Episode Statistics database and Office for National Statistics to calculate HCRU and mortality. RESULTS: The prevalence of confirmed (n = 32; 1.1/100,000) and probable (n = 22; 0.6/100,000) DS in 2017 was 1.5/100,000. Most patients with DS (confirmed, n = 22/28; probable, n = 8/14) were aged <18 years in 2017. Mean (standard deviation) ASM usage was 5.5 (2.7) in confirmed DS and 7.6 (3.8) in probable DS, over 3.4 (3.5) years and 10.0 (6.2) years of follow-up, respectively. HCRU (per patient-year) was similarly high in patients with confirmed and probable DS; mainly consisting of general practitioner consultations (mean, 4.8-7.9), outpatient visits (5.6-8.3), hospital admissions (0.9-4), and emergency department visits (0.3-2.3). Fewer than five deaths were recorded in patients with confirmed and probable DS. CONCLUSION: Using linked national healthcare databases, our study showed that the UK prevalence of DS recorded in primary care was low, and most cases were in patients aged <18 years. HCRU and ASM usage were similarly high in confirmed or probable DS.

Epidemiology, healthcare resource use, and mortality in patients with probable Dravet syndrome: A population-based study on German health insurance data.

OBJECTIVE: Ten-year retrospective study to assess burden of illness in patients with probable Dravet syndrome (DS) identified from German healthcare data. METHODS: In the absence of an International Classification of Diseases code, patients with probable DS were identified using a selection algorithm considering diagnoses and drug prescriptions. Primary analyses were prevalence and demographics; secondary analyses included healthcare costs, annual hospitalization rate (AHR) and length of stay (LOS), medication use, and mortality. RESULTS: In the final study year, 64 patients with probable DS (mean [range] age: 33.2 [3-82] years; male: 48%) were identified. Prevalence: 4.7 per 100,000 people. During the study, 160 patients with probable DS were identified and followed up for 1,261 patient-years. Mean cost of healthcare was €11,048 per patient-year (PPY), mostly attributable to inpatient care (47%), medication (26%), and services and devices (19%). Annual healthcare costs were significantly greater for those with prescribed rescue medication (15% of patient-years) vs. without (€16,123 vs. €10,125 PPY, p < 0.001). Mean (standard deviation [SD]) AHR and LOS were 1.1 (1.7) and 17.5 (33.5) days PPY. AHR was significantly greater in patients with prescribed rescue medication vs. without (1.6 [2.0] vs. 1.0 [1.6] PPY, p < 0.001). Mean (SD) number of antiseizure medications prescribed was 2.6 (1.2) PPY and 5.0 (2.5) over the entire observable time for each patient. Mortality rate was significantly higher for probable DS vs. matched controls (11.88% [19 events] vs. 1.19% [172 events], p < 0.001). CONCLUSION: Probable DS is associated with substantial healthcare costs in Germany.

The impact of seizure frequency on quality of life in patients with Lennox-Gastaut syndrome or Dravet syndrome.

OBJECTIVES: Lennox-Gastaut syndrome (LGS) and Dravet syndrome (DS) are rare treatment-resistant epileptic encephalopathies with limited data describing the relationship between seizures and quality of life (QoL). The objective of this cross-sectional pilot study was to assess the impact on QoL of seizures and seizure-free days for the generation of utility values. METHODS: Surveys were conducted in the UK and France, whereby patients and/or caregivers of patients with LGS, DS, or other epilepsies were asked to score health state vignettes for a hypothetical patient with LGS or DS. Respondents evaluated QoL for health states based on the number of seizures and seizure-free days per month, using a visual analog scale (VAS). Visual analog scale scores were converted to the 0-1 scale as a proxy estimate for utility values. Surveys were pilot tested and respondents were recruited from October 2018 to August 2019. RESULTS: Patient respondents were mainly treatment-responsive (n = 43/55) whereas caregiver respondents mainly cared for patients with treatment-resistant epilepsy (n = 38/43). Most respondents and patients were aged ≥18 years. Results from LGS and DS surveys in the UK (n = 58) and France (n = 40) suggested that health states with fewer seizures and more seizure-free days had higher QoL scores for hypothetical patients. For DS, QoL scores for patient health states ranged from 0.20 (32 convulsive seizures and 4 seizure-free days/month, UK) to 0.92 (seizure-free, France). For LGS, scores ranged from 0.14 (130 drop seizures and 1 seizure-free day/month, France) to 0.83 (seizure-free, UK). In all surveys, seizure-free days had a greater impact on QoL than seizure frequency (P < 0.001). CONCLUSIONS: Fewer seizures and additional seizure-free days improved QoL in patients with LGS or DS; seizure-free days had the greatest impact on QoL.

Epidemiology, healthcare resource use, and mortality in patients with tuberous sclerosis complex: A population-based study on German health insurance data.

PURPOSE: 10-year retrospective study to assess burden of illness in individuals with tuberous sclerosis complex (TSC) identified from German healthcare data. METHODS: Patients with TSC were identified by International Classification of Diseases code Q85.1. Patients with epilepsy were identified by epilepsy diagnosis or antiseizure medication (ASM) prescription after TSC diagnosis. RESULTS: Using data from 2016 (final study year), 100 patients with TSC were identified (mean [range] age: 38 [1-86] years; male: 40%); prevalence: 7.9 per 100,000 (TSC), 2.2 per 100,000 (TSC with epilepsy). During the 10-year study period (2007-2016), 256 patients with TSC were identified and followed up for 1,784 patient-years (epilepsy: 36%, 616 patient-years). TSC manifestations/comorbidities (apart from epilepsy) were identified more frequently in patients with epilepsy than without. Mean annual healthcare costs for patients with TSC were €6,139 per patient-year (PPY), mostly attributable to medication (35%) and inpatient care (29%). Patients with epilepsy incurred costs more than double those without. Mean (standard deviation [SD]) annual hospitalisation rate (AHR) and length of stay (LOS) PPY: 0.5 (1.0) and 5.9 (18.6) days for TSC. AHR and LOS were greater in patients with epilepsy than without. Mean (SD) number of ASMs prescribed (TSC with epilepsy): 3.0 (2.3) over the entire observable time per patient. Mortality rates (vs. control): 5.08% (vs. 1.69%, p<0.001) for TSC, 7.53% (vs. 0.98%, p<0.001) for TSC with epilepsy, 3.68% (vs. 2.03%, p = 0.003) for TSC without epilepsy. CONCLUSION: Healthcare costs, resource utilisation, and mortality were greater in patients with TSC and epilepsy than those without epilepsy.

Prevalence, healthcare resource utilization and mortality of Lennox-Gastaut syndrome: retrospective linkage cohort study.

PURPOSE: To retrospectively investigate the prevalence, demography, antiseizure medication (ASM) usage, healthcare resource utilization (HCRU), and mortality of patients with Lennox-Gastaut syndrome (LGS) in primary and secondary care in the UK. METHODS: Patients with confirmed LGS were anonymously identified from the UK Clinical Practice Research Datalink (CPRD) GOLD database (01/01/1987-31/1b0/2018) using the LGS Read Code (F250500). Probable LGS was identified using the International Classification of Diseases-10/Read Code for epilepsy (Hospital Episode Statistics [HES]/CPRD) plus rufinamide prescription. Period prevalence was calculated based on patients enrolled in CPRD GOLD and alive in 2017. CPRD data were linked to HES to calculate HCRU, and to the Office for National Statistics mortality registry. RESULTS: Period prevalence of LGS was 0.578/10,000 (n = 180), with 74 and 106 patients identified with confirmed (0.289/10,000) and probable LGS (0.420/10,000). Mean (max) ASM usage was ~1 (3) per year. In confirmed LGS, valproate (72%), lamotrigine (69%), and clobazam (66%) were the most commonly prescribed ASMs. HCRU (per patient-year) was similar in confirmed and probable LGS and mostly consisted of primary care general practitioner consultations (4-6), outpatient visits (5-10), inpatient admissions (1-4), and A&E visits (1). During the follow-up period, 18 patients died with crude mortality rates of 6.12 (confirmed LGS) and 4.17 (probable LGS) deaths per 1000 person-years. CONCLUSION: Prevalence of LGS appears low in the UK. The similarly high HCRU and mortality rates in confirmed and probable LGS support the validity and specificity of the probable LGS algorithm and high burden of LGS.

Epidemiology, healthcare resource use, and mortality in patients with probable Lennox-Gastaut syndrome: A population-based study on German health insurance data.

OBJECTIVE: This retrospective study examined patients with probable Lennox-Gastaut syndrome (LGS) identified from German healthcare data. METHODS: This 10-year study (2007-2016) assessed healthcare insurance claims information from the Vilua Healthcare research database. A selection algorithm considering diagnoses and drug prescriptions identified patients with probable LGS. To increase the sensitivity of the identification algorithm, two populations were defined: all patients with probable LGS (broadly defined) and only those with a documented epilepsy diagnosis before 6 years of age (narrowly defined). This specific criterion was used as LGS typically has a peak seizure onset between age 3 and 5 years. Primary analyses were prevalence and demographics; secondary analyses included healthcare costs, hospitalization rate and length of stay (LOS), medication use, and mortality. RESULTS: In the final year of the study, 545 patients with broadly defined probable LGS (mean [range] age: 31.4 [2-89] years; male: 53%) were identified. Using the narrowly defined probable LGS definition, the number of patients was reduced to 102 (mean [range] age: 7.4 [2-14] years; male: 52%). Prevalence of broadly defined and narrowly defined probable LGS was 39.2 and 6.5 per 100,000 people. During the 10-year study, 208 patients with narrowly defined probable LGS were identified and followed up for 1379 patient-years. The mean annual cost of healthcare was €22,787 per patient-year (PPY); greatest costs were attributable to inpatient care (33%), home nursing care (13%), and medication (10%). Mean annual healthcare costs were significantly greater for those with prescribed rescue medication (45% of patient-years) versus those without (€33,872 vs. €13,785 PPY, p < 0.001). Mean (standard deviation [SD]) annual hospitalization rate was 1.6 (2.0) PPY with mean (SD) annual LOS of 22.7 (46.0) days. Annual hospitalization rate was significantly greater in those who were prescribed rescue medication versus those who were not (2.2 [2.3] vs. 1.1 [1.6] PPY, p < 0.001). The mean (SD) number of different medications prescribed was 11.3 (7.3) PPY and 33.8 (17.0) over the entire observable time per patient (OET); antiepileptic drugs only accounted for 2.1 (1.1) of the medications prescribed PPY and 3.8 (2.0) OET. Over the 10-year study period, mortality in patients with narrowly defined probable LGS was significantly higher than the matched control population (six events [2.88%] vs. oneevent [0.01%], p < 0.001). CONCLUSION: Annual healthcare costs incurred by patients with probable LGS in Germany were substantial, and mostly attributable to inpatient care, home nursing care, and medication. Patients prescribed with rescue medication incurred significantly greater costs than those who were not. Patients with narrowly defined probable LGS had a higher mortality rate versus control populations.

Impact of childhood Dravet syndrome on care givers of patients with DS, a major impact on mothers.

BACKGROUND: The aim of this study was to understand the impact of Dravet syndrome (DS) on patients with Dravet syndrome and their families, with a focus on the social and economic impact on both mothers and fathers. METHODS: A French language on-line survey was distributed (October 2014-January 2015) for completion by caregivers of patients aged <18 years with DS. The survey was hosted on the French Dravet Syndrome Alliance website, and the survey link was provided to patients and caregivers during clinics at the Necker Hospital (Paris, France). RESULTS: Survey responses were available for 91 patients (median age 7.6 years; 81.6% SCN1A mutation positive). Total seizure frequency was >2 per week for 16.1% of patients, 1-8 per month for 55.2% and < 1 per month for 28.7%; tonic-clonic and myoclonic were the most frequent seizure types. Patients showed various degrees of intellectual disability and DS had a high impact on concentration and school learning in 70.1% and 80.5%. In addition, patients showed appetite disorders in 73.6%, sleep disorders in 72.4% and behavior disorders in 62.1%. Most parents were married (80.5%) with higher rates than the French general population (53.5%). Educational achievement and socio-professional categories for the parents were higher than observed in the French general population, while monthly net income was similar. Preparation of medication was generally done by the mother and father (46.0% of patients) or the mother only (37.9%). Most caregivers reported very low or no difficulty with treatment preparation and low or no risk of error. Parents typically spent <30 min per day on treatment preparation and administration and around 4 h per week for attending therapy appointments. Although most patients and parents were perceived to have good general health, mothers had a worse perception of their own general health than fathers. Compared with fathers, mothers reported a greater impact of caring for a child with DS on their social life, relationships with family and friends, time and energy, and professional life. CONCLUSION: Families caring for a child with DS experience considerable social and economic impact, with an apparent greater burden of care on the mother than the father.