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Alnaami I, Algarni A, Alqahtani SA, Alqahtani RM, Jabbar IA, Alhadi W, Alnujaymi BM, Alahmari SA, Asiri D, AlQahtani AM, Otaif MY. Vagal Nerve Stimulation in the Pediatric Population and Correlation between Family and Treatment Team Perspectives: Single-Center Experience. J Neurol Surg A Cent Eur Neurosurg 2025; 86:286-294. [PMID: 38876464 DOI: 10.1055/a-2344-8309] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/16/2024]
Abstract
BACKGROUND Vagal nerve stimulation (VNS) is an adjunctive therapy to pharmacologic treatment in patients with drug-resistant epilepsy. This study aimed to assess the efficacy of VNS therapy for seizure frequency reduction and improving the quality-of-life (QOL) measures in children with refractory epilepsy and to evaluate the correlation between the perspectives of families and those of the treating team. METHODS This was a prospective cohort study conducted at Abha Maternity and Children's Hospital, Saudi Arabia, from 2018 to 2022. A total of 21 pediatric patients who completed 1 year of follow-up after VNS implantation were included. Patients were aged between 2 and 14 years, with a mean age of 8.14 ± 3.92 years; 11 (52.4%) patients were females. Family and physician assessments were collected blinded to each other using the Clinical Global Impression of Improvement (CGI-I) scores and QOL assessments to evaluate the correlation between the families' and treating team's perspectives on VNS outcomes. RESULTS In this study, VNS showed significant efficacy in reducing the frequency of seizures. VNS significantly reduced the number of seizures per week from a baseline median of 35 to a median of 0.25 at the end of the follow-up period, representing a dramatic reduction of 99.3% (p < 0.001). The number of emergency department visits per year decreased from a baseline median of 12 to a median of 2, a reduction of 83.3% (p < 0.001), while the number of hospital admissions per year decreased from a baseline median of 3 to a median of 1, a 66.7% decrease (p < 0.001). The number of antiepileptic medications taken decreased from a median of four to three (p < 0.001). Notably, 28.57% of the patients achieved complete seizure freedom, and 38% exhibited significant improvement, with at least 50% reduction in seizure frequency. Importantly, none of the patients experienced an increase in seizure frequency following VNS treatment. The family and physician assessments showed varying degrees of alignment in perceptions, with "concentration" exhibiting a significant positive correlation (r = 0.498, p = 0.022), indicating noteworthy agreement, whereas verbal communication did not show a substantial correlation (r = - 0.062, p = 0.791), indicating a divergence of views. CONCLUSION VNS is a promising and well-tolerated therapy for individuals with intractable seizures, offering clinical benefits and potential enhancements in various aspects of QOL. The varying perceptions between family and physician assessments highlight the importance of considering multiple perspectives when evaluating treatment outcomes.
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Affiliation(s)
- Ibrahim Alnaami
- Division of Neurosurgery, Department of Surgery, King Khalid University, Abha, Saudi Arabia
- Department of Pediatric Neurosurgery, Abha Maternity and Children's Hospital, Abha, Saudi Arabia
| | - Abdullah Algarni
- Department of Occupational Health, Aseer Central Hospital, Abha, Saudi Arabia
| | - Saeed A Alqahtani
- Division of Neurology, Department of Medicine, College of Medicine, King Khalid University, Abha, Saudi Arabia
| | | | | | - Wajd Alhadi
- College of Medicine, King Khalid University, Abha, Saudi Arabia
| | | | | | - Dina Asiri
- Department of Pediatric Neurosurgery, Abha Maternity and Children's Hospital, Abha, Saudi Arabia
| | - Asma M AlQahtani
- Department of Emergency Medicine, Aseer Central Hospital, Abha, Saudi Arabia
| | - Mansour Y Otaif
- Division of Pediatric Neurology, Department of Pediatrics, Abha Maternity and Children's Hospital, Abha, Saudi Arabia
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Muniyandi M, Chelvanayagam K, Salam SA, Vadamalai S, Rajsekar K, Ramachandran R. Significant reduction of seizure frequency in patients with drug-resistant epilepsy by vagus nerve stimulation: Systematic review and meta-analysis. Epilepsy Res 2025; 210:107510. [PMID: 39809131 DOI: 10.1016/j.eplepsyres.2025.107510] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2024] [Revised: 10/01/2024] [Accepted: 01/06/2025] [Indexed: 01/16/2025]
Abstract
BACKGROUND Epilepsy is a major neurological disorder, typically managed with Anti-Seizure Medication (ASM). Nevertheless, a substantial 30 % of patients did not respond satisfactorily to ASMs, classifying their condition as Drug-Resistant Epilepsy (DRE). Vagus Nerve Stimulation (VNS) was recommended as a potential solution. OBJECTIVE To evaluate clinical efficacy of VNS on patients with DRE in reduction of seizures through a systematic review and meta-analysis using a random effects model. METHODS A systematic search was done from PubMed, ScienceDirect, Cochrane Library and Google Scholar databases on observational studies and randomized controlled trials (RCTs) for the clinical effectiveness of VNS among DRE patients. A meta-analysis was performed to obtain the pooled estimate of the clinical effectiveness of VNS in terms of seizure reduction and the odds ratio (OR) for patients achieving > 50 % seizure reduction. Heterogeneity was assessed using visual inspection of forest plots and I2 statistic. RESULTS A total of 1023 articles were retrieved from the electronic search. After removing duplicates, non-relevance and non-availability of efficacy data, 28 articles were included in the final analysis. Of these, 9 are RCTs and 19 are observational studies. The pooled estimate of > 50 % seizure reduction was 0.46 (95 % CI: 0.40-0.51) and the pooled estimate of the OR comparing > 50 % vs ≤ 50 % seizure reduction was 0.76 (95 % CI: 0.44-1.29). CONCLUSION Our meta-analysis showed that 46 % of DRE patients have experienced ≥ 50 % seizure reduction with VNS treatment. It should be considered in patients in whom ASM has failed or who continue to experience seizures after medication.
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Affiliation(s)
| | | | - Sahil Abdul Salam
- ICMR-National Institute for Research in Tuberculosis, Chennai, India
| | | | - Kavitha Rajsekar
- Department of Health Research, Ministry of Health and Family Welfare, New Delhi, India
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Yang Y, Wang J, Wang X, Tang C, Deng J, Yan Z, Deng Q, Chen D, Zhou J, Guan Y, Wang M, Li T, Luan G. Long-term effects of vagus nerve stimulation on EEG aperiodic components in patients with drug-resistant epilepsy. Ther Adv Neurol Disord 2024; 17:17562864241279124. [PMID: 39371641 PMCID: PMC11452897 DOI: 10.1177/17562864241279124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2024] [Accepted: 08/12/2024] [Indexed: 10/08/2024] Open
Abstract
Background Drug-resistant epilepsy (DRE) affects approximately one-third of epilepsy patients who do not achieve adequate seizure control with medication. Vagus nerve stimulation (VNS) is an adjunctive therapy for DRE, but its long-term effects on cortical excitability remain unclear. Objectives This study aims to elucidate the long-term effects of VNS on electroencephalography (EEG) aperiodic components in patients with DRE. Our objective is to identify biomarkers that can serve as indicators of therapeutic efficacy and provide mechanistic insights into the underlying neural processes. Design This longitudinal observational study focused on patients with DRE undergoing VNS therapy at Sanbo Brain Hospital. The reduction in seizure frequency rates was quantified over short-term (⩽1 year), medium-term (1-3 years), and long-term (⩾3 years) intervals to assess the therapeutic efficacy of VNS. Both the periodic and aperiodic components of EEG data were analyzed. Methods Advanced signal processing techniques were utilized to parameterize the periodic and aperiodic components of EEG data, focusing particularly on "offset" and "exponent." These measures were compared before and after VNS therapy. Correlation analyses were conducted to explore the relationship between these EEG parameters and clinical outcomes. Results In all, 18 patients with DRE participated in this study. During the long-term follow-up period, the responder rate was 55.56%. Significant decreases were observed in aperiodic offset (p = 0.022) and exponent (p = 0.039) among responders. The impact of age on these results was not significant. Correlation analyses revealed a negative association between therapeutic efficacy and a decrease in offset (R = -0.546, p = 0.019) and exponent (R = -0.636, p = 0.019). Conclusion EEG aperiodic parameters, including offset and exponent, have the potential to serve as promising biomarkers for evaluating the efficacy of VNS. An understanding of the regulatory influence of VNS on cortical excitability through these aperiodic parameters could provide a basis for the development of more effective stimulation parameters and therapeutic strategies.
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Affiliation(s)
- Yujiao Yang
- Department of Neurology, Sanbo Brain Hospital, Capital Medical University, Beijing, China
| | - Jing Wang
- Department of Neurology, Sanbo Brain Hospital, Capital Medical University, Beijing, China
| | - Xiongfei Wang
- Department of Neurosurgery, Sanbo Brain Hospital, Capital Medical University, Beijing, China
| | - Chongyang Tang
- Department of Neurosurgery, Sanbo Brain Hospital, Capital Medical University, Beijing, China
| | - Jiahui Deng
- Beijing Key Laboratory of Epilepsy, Beijing, China
| | - Zhaofen Yan
- Department of Neurology, Sanbo Brain Hospital, Capital Medical University, Beijing, China
| | - Qinqin Deng
- Department of Neurology, Sanbo Brain Hospital, Capital Medical University, Beijing, China
| | - Dong Chen
- Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences Beijing, Beijing, China
| | - Jian Zhou
- Department of Neurosurgery, Sanbo Brain Hospital, Capital Medical University, Beijing, China
| | - Yuguang Guan
- Department of Neurosurgery, Sanbo Brain Hospital, Capital Medical University, Beijing, China
| | - Mengyang Wang
- Department of Neurology, Sanbo Brain Hospital, Capital Medical University, No. 50 Xiang Shan Yi-Ke-Song Road, Haidian District, Beijing 100093, China
| | - Tianfu Li
- Department of Neurology, Sanbo Brain Hospital, Capital Medical University, No. 50 Xiang Shan Yi-Ke-Song Road, Haidian District, Beijing 100093, China
- Beijing Key Laboratory of Epilepsy, Beijing, China
- Beijing Institute for Brain Disorders, Capital Medical University, Beijing, China
| | - Guoming Luan
- Department of Neurosurgery, Sanbo Brain Hospital, Capital Medical University, No. 50 Xiang Shan Yi-Ke-Song Road, Haidian District, Beijing 100093, China
- Beijing Key Laboratory of Epilepsy, Beijing, China
- Beijing Institute for Brain Disorders, Capital Medical University, Beijing, China
- Laboratory for Clinical Medicine, Capital Medical University, Beijing, China
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Chan HY, Janssen LMM, Wijnen BFM, Hiligsmann M, Majoie MHJM, Evers SMAA. Economic evaluations of nonpharmacological treatments for drug-resistant epilepsy: A systematic review. Epilepsia 2023; 64:2861-2877. [PMID: 37545415 DOI: 10.1111/epi.17742] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2023] [Revised: 08/03/2023] [Accepted: 08/03/2023] [Indexed: 08/08/2023]
Abstract
This study was undertaken to systematically identify and critically appraise all published full economic evaluations assessing the cost-effectiveness of nonpharmacological interventions for patients with drug-resistant epilepsy. The Population, Intervention, Comparison, Outcome, Study criteria was used to design search strategies for the identification and selection of relevant studies. Literature search was performed using the MEDLINE (via PubMed), Embase, International Health Technology Assessment, National Institute for Health Research Economic Evaluation Database, and Cost-Effectiveness Analysis Registry databases to identify articles published between January 2000 and May 2023. Web of Science was additionally used to perform forward and backward referencing. Title, abstract, and full-text screening was performed by two independent researchers. The Consensus Health Economic Criteria (CHEC) checklist and Consolidated Health Economic Evaluation Reporting Standards (CHEERS) 2022 were applied for quality assessment. A total of 4470 studies were identified, of which 18 met our inclusion criteria. Twelve of the studies conducted model-based economic evaluation, and others were trial-based. Three studies showed that epilepsy surgery was cost-effective in adults, whereas this remained inconclusive for children (two positive, three negative). Three studies showed negative economic outcome for ketogenic diet in children. One of four studies showed positive results for self-management. For vagus nerve stimulation, one study showed positive results in adults and another one negative results in children. One recent study showed cost-effectiveness of responsive neurostimulation (RNS) in adults. Finally, one study showed promising but inconclusive results for deep brain stimulation (DBS). The mean scores for risk of bias assessment (based on CHEC) and for reporting quality (CHEERS 2022) were 95.8% and 80.5%, respectively. This review identified studies that assessed the cost-effectiveness of nonpharmacological treatments in both adults and children with drug-resistant epilepsy, suggesting that in adults, epilepsy surgery, vagus nerve stimulation, and RNS are cost-effective, and that DBS and self-management appear to be promising. In children, the cost-effectiveness of epilepsy surgery remains inconclusive. Finally, the use of ketogenic diet was shown not to be cost-effective. However, limited long-term data were available for newer interventions (i.e., ketogenic diet, DBS, and RNS).
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Affiliation(s)
- Hoi Yau Chan
- Department of Health Services Research, Care and Public Health Research Institute, Maastricht, the Netherlands
| | - Luca M M Janssen
- Department of Health Services Research, Care and Public Health Research Institute, Maastricht, the Netherlands
| | - Ben F M Wijnen
- Center of Economic Evaluation & Machine Learning, Trimbos Institute, Netherlands Institute of Mental Health and Addiction, Utrecht, the Netherlands
| | - Mickaël Hiligsmann
- Department of Health Services Research, Care and Public Health Research Institute, Maastricht, the Netherlands
| | - Marian H J M Majoie
- Department of Research and Development, Epilepsy Center Kempenhaeghe, Heeze, the Netherlands
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, the Netherlands
- School of Health Professions Education, Faculty of Health, Medicine, and Life Sciences, Maastricht University, Maastricht, the Netherlands
- Department of Neurology, Academic Center for Epileptology, Epilepsy Center Kempenhaeghe & Maastricht University Medical Center, Kempenhaeghe and Maastricht, the Netherlands
| | - Silvia M A A Evers
- Department of Health Services Research, Care and Public Health Research Institute, Maastricht, the Netherlands
- Center of Economic Evaluation & Machine Learning, Trimbos Institute, Netherlands Institute of Mental Health and Addiction, Utrecht, the Netherlands
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Lyu J, Wang JB, Quan Y, Zhang X, Gong SP, Qu JQ, Huang SP. Effectiveness of vagus nerve stimulation for drug-resistant generalized epilepsy in children aged six and younger. Neurochirurgie 2023; 69:101500. [PMID: 37742915 DOI: 10.1016/j.neuchi.2023.101500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 05/28/2023] [Accepted: 09/12/2023] [Indexed: 09/26/2023]
Abstract
BACKGROUND To explore a novel scoring system to evaluate the efficacy of vagus nerve stimulation (VNS) in children with drug-resistant generalized epilepsy (DRGE) aged six and younger. BASIC PROCEDURES The data of twelve children with DRGE under the age of 6 years who accepted VNS and have been followed up for at least 3 years were retrospectively reviewed. The outcome was evaluated with the McHugh Classification System and a novel scoring system we proposed. MAIN FINDINGS Based on the McHugh Classification System, the total response rate was 91.67% (11/12) and the rate of Grade I was 41.67% (5/12). A novel scoring system involving seizure frequency, seizure duration and quality of life (QOL) was proposed, by which the outcome was scored from -3 to 11 and graded from IV to I. Based on the novel scoring system, the total response rate was 91.67% (11/12) and the rate of Grade I was 33.33% (4/12). The incidence of complication was 16.67% (2/12). The efficacy of VNS appeared a gradually improving trend with plateau or fluctuation over time. Shorter course of epilepsy prior to VNS may be related to better outcome. PRINCIPAL CONCLUSIONS VNS could effectively reduce the seizure frequency and improve the QOL of children with DRGE aged six and younger. The novel scoring system was comprehensive and feasible to evaluate the efficacy of VNS. The time pattern of the long-term efficacy of VNS requires further investigation.
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Affiliation(s)
- Jian Lyu
- Neurosurgical Department, Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an, 710004, China.
| | - Ju-Bo Wang
- Neurosurgical Department, Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an, 710004, China
| | - Yu Quan
- Neurosurgical Department, Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an, 710004, China
| | - Xi Zhang
- Neurosurgical Department, Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an, 710004, China
| | - Shou-Ping Gong
- Neurosurgical Department, Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an, 710004, China
| | - Jian-Qiang Qu
- Neurosurgical Department, Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an, 710004, China
| | - Shao-Ping Huang
- Pediatric Department, Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an, 710004, China
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Ngan Kee N, Foster E, Marquina C, Tan A, Pang SST, O'Brien TJ, Kwan P, Jackson GD, Chen Z, Ademi Z. Systematic Review of Cost-Effectiveness Analysis for Surgical and Neurostimulation Treatments for Drug-Resistant Epilepsy in Adults. Neurology 2023; 100:e1866-e1877. [PMID: 36927880 PMCID: PMC10159768 DOI: 10.1212/wnl.0000000000207137] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Accepted: 01/18/2023] [Indexed: 03/18/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Surgical and neurostimulator treatments are effective for reducing seizure burden in selected individuals living with drug-resistant epilepsy (DRE). We aimed to determine the presence and key model determinants for cost-effectiveness of these interventions, compared with medical management alone, to assist with decisions about resource allocation. METHODS A systematic literature search was conducted on June 1, 2022, using MEDLINE, EMBASE, the NHS Economic Evaluation Database, and the Cost-Effectiveness Analysis database. Included studies were economic evaluations in adult DRE cohorts, comparing surgical and neurostimulator treatments (vagus nerve stimulation [VNS], responsive neurostimulation [RNS], and deep brain stimulation [DBS]) vs medical management alone and reporting cost-benefit analysis, cost-utility, or cost-effectiveness. Exclusion criteria were studies with pediatric cohorts and those published in a language other than English. Three independent reviewers screened, extracted, and assessed data against the Consolidated Health Economic Evaluation Reporting Standards checklist, and a fourth reviewer adjudicated discrepancies. RESULTS Ten studies met inclusion criteria. Seven studies evaluated epilepsy surgery, and 3 evaluated neurostimulation treatments. All relevant studies established that epilepsy surgery is a cost-effective intervention compared with medical management alone, for quality-adjusted life-years and seizure freedom at 2 and 5 years. All relevant studies found neurostimulator treatments to be potentially cost-effective. The incremental cost-effectiveness ratio (ICER), with lower ICER indicating greater cost-effectiveness, was reported for 9 studies and varied between GBP £3,013 and US $61,333. Cost adaptation revealed ICERs from US $170 to US $121,726. Key model determinants included, but were not limited to, improved surgical outcomes and quality of life, reduced surgical and presurgical evaluation costs, higher rates of surgical eligibility after referral and evaluation, epilepsy subtype, less expensive neurostimulator devices with improved longevity, and cost analysis strategy used in the analysis. DISCUSSION There is consistent evidence that epilepsy surgery is a cost-effective treatment of eligible candidates with DRE. Limited evidence suggests that VNS, RNS, and DBS may be cost-effective therapies for DRE, although more health economic evaluations alongside prospective clinical trials are needed to validate these findings. STUDY REGISTRATION INFORMATION PROSPERO CRD42021278436.
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Affiliation(s)
- Nicholas Ngan Kee
- From the The Royal Melbourne Hospital (N.N.K., T.J.O.B., P.K.), Parkville; Department of Neuroscience (E.F., T.J.O.B., P.K., Z.C., Z.A.), Central Clinical School, Monash University, Melbourne; Department of Neurology (E.F., T.J.O.B., P.K., Z.C.), Alfred Health, Melbourne; School of Public Health and Preventive Medicine (C.M., P.K., Z.C., Z.A.), Monash University, Melbourne; Centre for Medicine Use and Safety (C.M., Z.A.), Monash University, Parkville; Faculty of Medicine, Nursing and Health Sciences (A.T., S.S.T.P.), Monash University, Clayton; Department of Medicine (T.J.O.B., P.K., G.D.J., Z.C.), The University of Melbourne, Parkville; Monash Institute of Medical Engineering (P.K.), Monash University, Clayton; Florey Institute of Neuroscience and Mental Health (G.D.J.), Melbourne; and Department of Neurology (G.D.J.), Austin Hospital, Heidelberg, Australia
| | - Emma Foster
- From the The Royal Melbourne Hospital (N.N.K., T.J.O.B., P.K.), Parkville; Department of Neuroscience (E.F., T.J.O.B., P.K., Z.C., Z.A.), Central Clinical School, Monash University, Melbourne; Department of Neurology (E.F., T.J.O.B., P.K., Z.C.), Alfred Health, Melbourne; School of Public Health and Preventive Medicine (C.M., P.K., Z.C., Z.A.), Monash University, Melbourne; Centre for Medicine Use and Safety (C.M., Z.A.), Monash University, Parkville; Faculty of Medicine, Nursing and Health Sciences (A.T., S.S.T.P.), Monash University, Clayton; Department of Medicine (T.J.O.B., P.K., G.D.J., Z.C.), The University of Melbourne, Parkville; Monash Institute of Medical Engineering (P.K.), Monash University, Clayton; Florey Institute of Neuroscience and Mental Health (G.D.J.), Melbourne; and Department of Neurology (G.D.J.), Austin Hospital, Heidelberg, Australia
| | - Clara Marquina
- From the The Royal Melbourne Hospital (N.N.K., T.J.O.B., P.K.), Parkville; Department of Neuroscience (E.F., T.J.O.B., P.K., Z.C., Z.A.), Central Clinical School, Monash University, Melbourne; Department of Neurology (E.F., T.J.O.B., P.K., Z.C.), Alfred Health, Melbourne; School of Public Health and Preventive Medicine (C.M., P.K., Z.C., Z.A.), Monash University, Melbourne; Centre for Medicine Use and Safety (C.M., Z.A.), Monash University, Parkville; Faculty of Medicine, Nursing and Health Sciences (A.T., S.S.T.P.), Monash University, Clayton; Department of Medicine (T.J.O.B., P.K., G.D.J., Z.C.), The University of Melbourne, Parkville; Monash Institute of Medical Engineering (P.K.), Monash University, Clayton; Florey Institute of Neuroscience and Mental Health (G.D.J.), Melbourne; and Department of Neurology (G.D.J.), Austin Hospital, Heidelberg, Australia
| | - Andy Tan
- From the The Royal Melbourne Hospital (N.N.K., T.J.O.B., P.K.), Parkville; Department of Neuroscience (E.F., T.J.O.B., P.K., Z.C., Z.A.), Central Clinical School, Monash University, Melbourne; Department of Neurology (E.F., T.J.O.B., P.K., Z.C.), Alfred Health, Melbourne; School of Public Health and Preventive Medicine (C.M., P.K., Z.C., Z.A.), Monash University, Melbourne; Centre for Medicine Use and Safety (C.M., Z.A.), Monash University, Parkville; Faculty of Medicine, Nursing and Health Sciences (A.T., S.S.T.P.), Monash University, Clayton; Department of Medicine (T.J.O.B., P.K., G.D.J., Z.C.), The University of Melbourne, Parkville; Monash Institute of Medical Engineering (P.K.), Monash University, Clayton; Florey Institute of Neuroscience and Mental Health (G.D.J.), Melbourne; and Department of Neurology (G.D.J.), Austin Hospital, Heidelberg, Australia
| | - Samantha S T Pang
- From the The Royal Melbourne Hospital (N.N.K., T.J.O.B., P.K.), Parkville; Department of Neuroscience (E.F., T.J.O.B., P.K., Z.C., Z.A.), Central Clinical School, Monash University, Melbourne; Department of Neurology (E.F., T.J.O.B., P.K., Z.C.), Alfred Health, Melbourne; School of Public Health and Preventive Medicine (C.M., P.K., Z.C., Z.A.), Monash University, Melbourne; Centre for Medicine Use and Safety (C.M., Z.A.), Monash University, Parkville; Faculty of Medicine, Nursing and Health Sciences (A.T., S.S.T.P.), Monash University, Clayton; Department of Medicine (T.J.O.B., P.K., G.D.J., Z.C.), The University of Melbourne, Parkville; Monash Institute of Medical Engineering (P.K.), Monash University, Clayton; Florey Institute of Neuroscience and Mental Health (G.D.J.), Melbourne; and Department of Neurology (G.D.J.), Austin Hospital, Heidelberg, Australia
| | - Terence J O'Brien
- From the The Royal Melbourne Hospital (N.N.K., T.J.O.B., P.K.), Parkville; Department of Neuroscience (E.F., T.J.O.B., P.K., Z.C., Z.A.), Central Clinical School, Monash University, Melbourne; Department of Neurology (E.F., T.J.O.B., P.K., Z.C.), Alfred Health, Melbourne; School of Public Health and Preventive Medicine (C.M., P.K., Z.C., Z.A.), Monash University, Melbourne; Centre for Medicine Use and Safety (C.M., Z.A.), Monash University, Parkville; Faculty of Medicine, Nursing and Health Sciences (A.T., S.S.T.P.), Monash University, Clayton; Department of Medicine (T.J.O.B., P.K., G.D.J., Z.C.), The University of Melbourne, Parkville; Monash Institute of Medical Engineering (P.K.), Monash University, Clayton; Florey Institute of Neuroscience and Mental Health (G.D.J.), Melbourne; and Department of Neurology (G.D.J.), Austin Hospital, Heidelberg, Australia
| | - Patrick Kwan
- From the The Royal Melbourne Hospital (N.N.K., T.J.O.B., P.K.), Parkville; Department of Neuroscience (E.F., T.J.O.B., P.K., Z.C., Z.A.), Central Clinical School, Monash University, Melbourne; Department of Neurology (E.F., T.J.O.B., P.K., Z.C.), Alfred Health, Melbourne; School of Public Health and Preventive Medicine (C.M., P.K., Z.C., Z.A.), Monash University, Melbourne; Centre for Medicine Use and Safety (C.M., Z.A.), Monash University, Parkville; Faculty of Medicine, Nursing and Health Sciences (A.T., S.S.T.P.), Monash University, Clayton; Department of Medicine (T.J.O.B., P.K., G.D.J., Z.C.), The University of Melbourne, Parkville; Monash Institute of Medical Engineering (P.K.), Monash University, Clayton; Florey Institute of Neuroscience and Mental Health (G.D.J.), Melbourne; and Department of Neurology (G.D.J.), Austin Hospital, Heidelberg, Australia
| | - Graeme D Jackson
- From the The Royal Melbourne Hospital (N.N.K., T.J.O.B., P.K.), Parkville; Department of Neuroscience (E.F., T.J.O.B., P.K., Z.C., Z.A.), Central Clinical School, Monash University, Melbourne; Department of Neurology (E.F., T.J.O.B., P.K., Z.C.), Alfred Health, Melbourne; School of Public Health and Preventive Medicine (C.M., P.K., Z.C., Z.A.), Monash University, Melbourne; Centre for Medicine Use and Safety (C.M., Z.A.), Monash University, Parkville; Faculty of Medicine, Nursing and Health Sciences (A.T., S.S.T.P.), Monash University, Clayton; Department of Medicine (T.J.O.B., P.K., G.D.J., Z.C.), The University of Melbourne, Parkville; Monash Institute of Medical Engineering (P.K.), Monash University, Clayton; Florey Institute of Neuroscience and Mental Health (G.D.J.), Melbourne; and Department of Neurology (G.D.J.), Austin Hospital, Heidelberg, Australia
| | - Zhibin Chen
- From the The Royal Melbourne Hospital (N.N.K., T.J.O.B., P.K.), Parkville; Department of Neuroscience (E.F., T.J.O.B., P.K., Z.C., Z.A.), Central Clinical School, Monash University, Melbourne; Department of Neurology (E.F., T.J.O.B., P.K., Z.C.), Alfred Health, Melbourne; School of Public Health and Preventive Medicine (C.M., P.K., Z.C., Z.A.), Monash University, Melbourne; Centre for Medicine Use and Safety (C.M., Z.A.), Monash University, Parkville; Faculty of Medicine, Nursing and Health Sciences (A.T., S.S.T.P.), Monash University, Clayton; Department of Medicine (T.J.O.B., P.K., G.D.J., Z.C.), The University of Melbourne, Parkville; Monash Institute of Medical Engineering (P.K.), Monash University, Clayton; Florey Institute of Neuroscience and Mental Health (G.D.J.), Melbourne; and Department of Neurology (G.D.J.), Austin Hospital, Heidelberg, Australia.
| | - Zanfina Ademi
- From the The Royal Melbourne Hospital (N.N.K., T.J.O.B., P.K.), Parkville; Department of Neuroscience (E.F., T.J.O.B., P.K., Z.C., Z.A.), Central Clinical School, Monash University, Melbourne; Department of Neurology (E.F., T.J.O.B., P.K., Z.C.), Alfred Health, Melbourne; School of Public Health and Preventive Medicine (C.M., P.K., Z.C., Z.A.), Monash University, Melbourne; Centre for Medicine Use and Safety (C.M., Z.A.), Monash University, Parkville; Faculty of Medicine, Nursing and Health Sciences (A.T., S.S.T.P.), Monash University, Clayton; Department of Medicine (T.J.O.B., P.K., G.D.J., Z.C.), The University of Melbourne, Parkville; Monash Institute of Medical Engineering (P.K.), Monash University, Clayton; Florey Institute of Neuroscience and Mental Health (G.D.J.), Melbourne; and Department of Neurology (G.D.J.), Austin Hospital, Heidelberg, Australia.
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7
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Evans K, Stamas N, Li Q, Vincent T, Halchenko Y, Zhang L, Danielson V, Murphy J, Barion F, Lam S, Lassagne R, Berger A. Impact of Vagus Nerve Stimulation for the Treatment of Drug-Resistant Epilepsy on Patterns of Use and Cost of Health Care Services and Pharmacotherapy: Comparisons of the 24-Month Periods Before and After Implantation. Clin Ther 2023; 45:136-150. [PMID: 36746736 DOI: 10.1016/j.clinthera.2023.01.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 12/20/2022] [Accepted: 01/13/2023] [Indexed: 02/05/2023]
Abstract
PURPOSE This study examines the impact of vagus nerve stimulation (VNS) as treatment for drug-resistant epilepsy (DRE) on the use and cost of health care services and pharmacotherapy. METHODS Using a large US health care claims database, we identified all patients with DRE who underwent VNS between January 1, 2012 and December 31, 2019. VNS implantation date was designated as the index date, and patients had to be continuously enrolled for the 24-month period before this date (preindex period). Outcomes included all-cause and epilepsy-related hospitalization, emergency department (ED) visits, and health care costs; health care claims resulting in an epilepsy diagnosis and all claims for antiseizure medications were deemed epilepsy related. Preindex data, except care related to preoperative medical clearance for VNS, were used to estimate multivariate regression models predicting outcomes during the 24-month postindex period (follow-up period). Predicted outcomes during follow-up were then compared with observed values. As a sensitivity analysis, we also replicated all analyses among subgroups defined by comorbid depression. FINDINGS A total of 659 patients underwent VNS for DRE and met the selection criteria. For the composite outcome of all-cause hospitalizations and ED visits, observed values were 42% lower than expected during the 24-month follow-up period; for the composite outcome of epilepsy-related hospitalizations and ED visits, observed values were 49% lower (P < 0.001 for both). Observed mean total all-cause costs, inclusive of costs of the procedure, were not significantly different than expected costs by month 19 of follow-up; mean total epilepsy-related costs were comparable by month 18. Findings were similar in subgroups with and without depression, although nominally greater differences (observed - expected) were seen in those with comorbid depression. IMPLICATIONS Our findings suggest that VNS is associated with decreased risk of hospitalization or ED visits (all cause and epilepsy related) during the 2-year period subsequent to implantation and may become cost-neutral within 2 years of implantation (vs continued medical management of DRE without VNS). Although expected outcomes were estimated based on the 24-month period before implantation, the degree to which they approximated what would have happened in the absence of VNS is unknowable. Further research is needed to better understand the extend and duration of the impact of VNS on seizure frequency and severity and health-related quality of life, including its performance among those with and without comorbid depression.
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Affiliation(s)
| | | | | | | | | | - Lu Zhang
- Department of Neurosurgery, Division of Pediatric Neurosurgery, Ann and Robert H. Lurie Children's Hospital of Chicago, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | | | | | | | - Sandi Lam
- Department of Neurosurgery, Division of Pediatric Neurosurgery, Ann and Robert H. Lurie Children's Hospital of Chicago, Northwestern University Feinberg School of Medicine, Chicago, Illinois
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8
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Raspin C, Faught E, Armand J, Barion F, Pollit V, Murphy J, Danielson V. An economic evaluation of vagus nerve stimulation as an adjunctive treatment to anti-seizure medications for the treatment of drug resistant epilepsy in the United States. J Med Econ 2023; 26:189-199. [PMID: 36691763 DOI: 10.1080/13696998.2023.2171230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
INTRODUCTION People with recurrent epileptic seizures are typically treated with anti-seizure medications (ASMs). Around a third of epilepsy patients fail to achieve an adequate response to ASMs and may be eligible to receive vagus nerve stimulation (VNS) therapy for their drug-resistant epilepsy (DRE) if they are unsuited to surgery. VNS received approval from the United States (US) Food and Drug Administration agency. However, there has to date been no comprehensive cost effectiveness evaluation of VNS within the US setting. This study was designed, using a US Medicare perspective, to estimate costs and quality-adjusted life years (QALYs) associated with VNS as an adjunct to ongoing ASM therapy, compared to ASMs alone. METHODS We developed a cohort state transition model in Microsoft Excel, with four health states defined by different percentage reductions in seizure frequency, with a 3-month cycle and transition probabilities derived from published clinical trials and registry data. Sensitivity analyses were conducted to understand the impact of parameter uncertainty. Costs included the VNS device, placement, programming, battery changes, and removal; ASM therapy; adverse events associated with VNS (dyspnea, hoarseness, and cough); and costs associated with seizure burden (i.e. hospitalizations, emergency department visits, neurologist visits). RESULTS Under base case assumptions, treatment with VNS was associated with a 0.385 QALY gain and a $109,678 saving per patient, when compared with ASM therapy alone. The incremental net monetary benefit (iNMB) was $128,903 at a threshold of $50,000 per QALY, with the positive iNMB indicating that VNS is a highly cost effective treatment. This result is explained by the modeled reduction in relative seizure frequency and associated reduction in healthcare resource use that the VNS group experienced. Sensitivity analyses supported this conclusion. CONCLUSIONS VNS was evaluated as a cost effective addition to the current standard of care in the treatment of DRE in the US Medicare context.
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Affiliation(s)
| | - Edward Faught
- Department of Neurology, Emory University, Atlanta, GA, USA
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9
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Gordon LG, Elliott TM, Bennett C, Hollway G, Waddell N, Vadlamudi L. Early cost-utility analysis of genetically guided therapy for patients with drug-resistant epilepsy. Epilepsia 2022; 63:3111-3121. [PMID: 36082520 DOI: 10.1111/epi.17408] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Revised: 09/07/2022] [Accepted: 09/07/2022] [Indexed: 01/11/2023]
Abstract
OBJECTIVE Existing gene panels were developed to understand the etiology of epilepsy, and further benefits will arise from an effective pharmacogenomics panel for personalizing therapy and achieving seizure control. Our study assessed the cost-effectiveness of a pharmacogenomics panel for patients with drug-resistant epilepsy, compared with usual care. METHODS A cost-utility analysis was employed using a discrete event simulation model. The microsimulation model aggregated the costs and benefits of genetically guided treatment versus usual care for 5000 simulated patients. The 10-year model combined data from various sources including genomic databases on prevalence of variants, population-level pharmaceutical claims on antiseizure medications, published long-term therapy retention rates, patient-level cost data, and systematic reviews. Incremental cost per quality-adjusted life-year (QALY) gained was computed. Deterministic and probabilistic sensitivity analyses were undertaken to address uncertainty in model parameters. RESULTS The mean cost of the genetically guided treatment option was AU$98 199 compared with AU$95 386 for usual care. Corresponding mean QALYs were 4.67 compared with 4.28 for genetically guided and usual care strategies, respectively. The incremental cost per QALY gained was AU$7381. In probabilistic sensitivity analyses, the incremental cost per QALY gained was AU$6321 (95% uncertainty interval = AU$3604-AU$9621), with a 100% likelihood of being cost-effective in the Australian health care system. The most influential drivers of the findings were the monthly health care costs associated with reduced seizures, costs when seizures continued, and the quality-of-life estimates under genetically guided and usual care strategies. SIGNIFICANCE This early economic evaluation of a pharmacogenomics panel to guide treatment for drug-resistant epilepsy could potentially be cost-effective in the Australian health care system. Clinical trial evidence is necessary to confirm these findings.
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Affiliation(s)
- Louisa G Gordon
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.,School of Nursing and Cancer and Palliative Care Outcomes Centre, Queensland University of Technology, Brisbane, Queensland, Australia.,Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia
| | - Thomas M Elliott
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Carmen Bennett
- University of Queensland Centre for Clinical Research, University of Queensland, Brisbane, Queensland, Australia
| | - Georgina Hollway
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.,Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia.,genomiQa, Brisbane, Queensland, Australia
| | - Nicola Waddell
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.,Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia.,genomiQa, Brisbane, Queensland, Australia
| | - Lata Vadlamudi
- University of Queensland Centre for Clinical Research, University of Queensland, Brisbane, Queensland, Australia.,Department of Neurology, Royal Brisbane and Women's Hospital, Brisbane, Queensland, Australia
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10
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Mayo J, Panahi S, Roghani A, Van Cott AC, Pugh MJ. Treatment of Epilepsy in the Setting of Cognitive Decline in Older Adults. Curr Treat Options Neurol 2022. [DOI: 10.1007/s11940-022-00740-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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11
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Ma J, Wang Z, Cheng T, Hu Y, Qin X, Wang W, Yu G, Liu Q, Ji T, Xie H, Zha D, Wang S, Yang Z, Liu X, Cai L, Jiang Y, Hao H, Wang J, Li L, Wu Y. A prediction model integrating synchronization biomarkers and clinical features to identify responders to vagus nerve stimulation among pediatric patients with drug-resistant epilepsy. CNS Neurosci Ther 2022; 28:1838-1848. [PMID: 35894770 PMCID: PMC9532924 DOI: 10.1111/cns.13923] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2022] [Revised: 07/06/2022] [Accepted: 07/08/2022] [Indexed: 12/01/2022] Open
Abstract
Aims Vagus nerve stimulation (VNS) is a neuromodulation therapy for children with drug‐resistant epilepsy (DRE). The efficacy of VNS is heterogeneous. A prediction model is needed to predict the efficacy before implantation. Methods We collected data from children with DRE who underwent VNS implantation and received regular programming for at least 1 year. Preoperative clinical information and scalp video electroencephalography (EEG) were available in 88 children. Synchronization features, including phase lag index (PLI), weighted phase lag index (wPLI), and phase‐locking value (PLV), were compared between responders and non‐responders. We further adapted a support vector machine (SVM) classifier selected from 25 clinical and 18 synchronization features to build a prediction model for efficacy in a discovery cohort (n = 70) and was tested in an independent validation cohort (n = 18). Results In the discovery cohort, the average interictal awake PLI in the high beta band was significantly higher in responders than non‐responders (p < 0.05). The SVM classifier generated from integrating both clinical and synchronization features had the best prediction efficacy, demonstrating an accuracy of 75.7%, precision of 80.8% and area under the receiver operating characteristic (AUC) of 0.766 on 10‐fold cross‐validation. In the validation cohort, the prediction model demonstrated an accuracy of 61.1%. Conclusion This study established the first prediction model integrating clinical and baseline synchronization features for preoperative VNS responder screening among children with DRE. With further optimization of the model, we hope to provide an effective and convenient method for identifying responders before VNS implantation.
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Affiliation(s)
- Jiayi Ma
- Department of Pediatrics, Peking University First Hospital, Beijing, China
| | - Zhiyan Wang
- National Engineering laboratory for Neuromodulation, School of Aerospace Engineering, Tsinghua University, Beijing, China
| | - Tungyang Cheng
- National Engineering laboratory for Neuromodulation, School of Aerospace Engineering, Tsinghua University, Beijing, China
| | - Yingbing Hu
- National Engineering laboratory for Neuromodulation, School of Aerospace Engineering, Tsinghua University, Beijing, China
| | - Xiaoya Qin
- National Engineering laboratory for Neuromodulation, School of Aerospace Engineering, Tsinghua University, Beijing, China
| | - Wen Wang
- Pediatric Epilepsy Center, Peking University First Hospital, Beijing, China
| | - Guojing Yu
- Pediatric Epilepsy Center, Peking University First Hospital, Beijing, China
| | - Qingzhu Liu
- Pediatric Epilepsy Center, Peking University First Hospital, Beijing, China
| | - Taoyun Ji
- Department of Pediatrics, Peking University First Hospital, Beijing, China.,Pediatric Epilepsy Center, Peking University First Hospital, Beijing, China
| | - Han Xie
- Department of Pediatrics, Peking University First Hospital, Beijing, China
| | - Daqi Zha
- National Engineering laboratory for Neuromodulation, School of Aerospace Engineering, Tsinghua University, Beijing, China
| | - Shuang Wang
- Pediatric Epilepsy Center, Peking University First Hospital, Beijing, China
| | - Zhixian Yang
- Department of Pediatrics, Peking University First Hospital, Beijing, China
| | - Xiaoyan Liu
- Department of Pediatrics, Peking University First Hospital, Beijing, China.,Pediatric Epilepsy Center, Peking University First Hospital, Beijing, China
| | - Lixin Cai
- Pediatric Epilepsy Center, Peking University First Hospital, Beijing, China
| | - Yuwu Jiang
- Department of Pediatrics, Peking University First Hospital, Beijing, China.,Pediatric Epilepsy Center, Peking University First Hospital, Beijing, China
| | - Hongwei Hao
- National Engineering laboratory for Neuromodulation, School of Aerospace Engineering, Tsinghua University, Beijing, China
| | - Jing Wang
- Beijing Key Laboratory of Epilepsy Research, Department of Neurology, Center of Epilepsy, Beijing Institute for Brain Disorders, Sanbo Brain Hospital, Capital Medical University, Beijing, China
| | - Luming Li
- National Engineering laboratory for Neuromodulation, School of Aerospace Engineering, Tsinghua University, Beijing, China.,Precision Medicine & Healthcare Research Center, Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen, China.,IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing, China.,Institute of Epilepsy, Beijing Institute for Brain Disorders, Beijing, China
| | - Ye Wu
- Department of Pediatrics, Peking University First Hospital, Beijing, China.,Pediatric Epilepsy Center, Peking University First Hospital, Beijing, China
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