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Beuchat I, Novy J, Rosenow F, Kellinghaus C, Rüegg S, Tilz C, Trinka E, Unterberger I, Uzelac Z, Strzelczyk A, Rossetti AO. Staged treatment response in status epilepticus: Lessons from the SENSE registry. Epilepsia 2024; 65:338-349. [PMID: 37914525 DOI: 10.1111/epi.17817] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Revised: 10/20/2023] [Accepted: 10/31/2023] [Indexed: 11/03/2023]
Abstract
OBJECTIVES Although in epilepsy patients the likelihood of becoming seizure-free decreases substantially with each unsuccessful treatment, to our knowledge this has been poorly investigated in status epilepticus (SE). We aimed to evaluate the proportion of SE cessation and functional outcome after successive treatment steps. METHODS We conducted a post hoc analysis of a prospective, observational, multicenter cohort (Sustained Effort Network for treatment of Status Epilepticus [SENSE]), in which 1049 incident adult SE episodes were prospectively recorded at nine European centers. We analyzed 996 SE episodes without coma induction before the third treatment step. Rates of SE cessation, mortality (in ongoing SE or after SE control), and favorable functional outcome (assessed with modified Rankin scale) were evaluated after each step. RESULTS SE was treated successfully in 838 patients (84.1%), 147 (14.8%) had a fatal outcome (36% of them died while still in SE), and 11 patients were transferred to palliative care while still in SE. Patients were treated with a median of three treatment steps (range 1-13), with 540 (54.2%) receiving more than two steps (refractory SE [RSE]) and 95 (9.5%) more than five steps. SE was controlled after the first two steps in 45%, with an additional 21% treated after the third, and 14% after the fourth step. Likelihood of SE cessation (p < 0.001), survival (p = 0.003), and reaching good functional outcome (p < 0.001) decreased significantly between the first two treatment lines and the third, especially in patients not experiencing generalized convulsive SE, but remained relatively stable afterwards. SIGNIFICANCE The significant worsening of SE prognosis after the second step clinically supports the concept of RSE. However, and differing from findings in human epilepsy, RSE remains treatable in about one third of patients, even after several failed treatment steps. Clinical judgment remains essential to determine the aggressiveness and duration of SE treatment, and to avoid premature treatment cessation in patients with SE.
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Affiliation(s)
- Isabelle Beuchat
- Department of Neurology, Centre Hospitalier Universitaire Vaudois (CHUV) and University of Lausanne, Lausanne, Switzerland
| | - Jan Novy
- Department of Neurology, Centre Hospitalier Universitaire Vaudois (CHUV) and University of Lausanne, Lausanne, Switzerland
| | - Felix Rosenow
- Epilepsy Center Frankfurt Rhine-Main and Department of Neurology, Goethe-University, Frankfurt am Main, Germany
- LOEWE Center for Personalized Translational Epilepsy Research (CePTER), Goethe-University, Frankfurt am Main, Germany
| | - Christoph Kellinghaus
- Department of Neurology, Klinikum Osnabrück, Osnabrück, Germany
- Epilepsy Center, Münster-Osnabrück, Campus Osnabrück, Osnabrück, Germany
| | - Stephan Rüegg
- Department of Neurology, University Hospital Basel, and University of Basel, Basel, Switzerland
| | - Christian Tilz
- Department of Neurology, Krankenhaus Barmherzige Brüder, Regensburg, Germany
| | - Eugen Trinka
- Department of Neurology, Christian Doppler University Hospital, Paracelsus Medical University, Centre for Cognitive Neuroscience, Member of the European Reference Network EpiCARE, Salzburg, Austria
- Neuroscience Institute, Christian Doppler University Hospital, Paracelsus Medical University, Centre for Cognitive Neuroscience, Salzburg, Austria
- Department of Public Health, Health Services Research and Health Technology Assessment, UMIT - University for Health Sciences, Medical Informatics and Technology, Hall in Tirol, Austria
- Karl Landsteiner Institute for Neurorehabilitation and Space Neurology, Salzburg, Austria
| | - Iris Unterberger
- Department of Neurology, Innsbruck Medical University, Innsbruck, Austria
| | - Zeljko Uzelac
- Department of Neurology, University Hospital Ulm, Ulm, Germany
| | - Adam Strzelczyk
- Epilepsy Center Frankfurt Rhine-Main and Department of Neurology, Goethe-University, Frankfurt am Main, Germany
- LOEWE Center for Personalized Translational Epilepsy Research (CePTER), Goethe-University, Frankfurt am Main, Germany
- Epilepsy Center Hessen and Department of Neurology, Philipps-University Marburg, Marburg, Germany
| | - Andrea O Rossetti
- Department of Neurology, Centre Hospitalier Universitaire Vaudois (CHUV) and University of Lausanne, Lausanne, Switzerland
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She Y, Zhou L, Li Y. Interpretable machine learning models for predicting 90-day death in patients in the intensive care unit with epilepsy. Seizure 2024; 114:23-32. [PMID: 38035490 DOI: 10.1016/j.seizure.2023.11.017] [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: 08/09/2023] [Revised: 11/11/2023] [Accepted: 11/24/2023] [Indexed: 12/02/2023] Open
Abstract
PURPOSE This study aims to develop a machine learning-based model for predicting mortality risk in patients with epilepsy admitted to the intensive care unit (ICU), providing clinicians with an accurate prognostic tool to guide individualized treatment. METHODS We collected clinical data from clinical databases (MIMIC IV and eICU-CRD) of epilepsy patients 24 h after ICU admission. The clinical characteristics of ICU patients with epilepsy were carefully feature selected and processed. MIMIC IV as the training set and eICU-CRD database as the test set. Six models were developed and validated, and the best LightGBM model was selected by performance comparison and analysed for interpretability. RESULTS The final cohort comprised 429 patients for training and 1217 for testing. The training set exhibited a 90-day mortality rate of 9.32 %, and the test set had an in-hospital 90-day mortality rate of 4.10 %. Utilizing the LightGBM model, we achieved an AUC of 0.956 in the training set. External validation demonstrated promising results with accuracy of 0.898, precision of 0.975, AUC of 0.781, F1 score of 0.945, highlighting the model's potential for guiding clinical decision-making. Significant factors influencing model performance included the severity of illness, as measured by the OASIS score, and clinical parameters like heart rate and body temperature. CONCLUSION This study introduces a machine learning-based approach to predict mortality risk in ICU epilepsy patients, offering a valuable tool for clinicians to identify high-risk individuals and devise personalized treatment strategies, thus improving patient prognosis and treatment outcomes.
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Affiliation(s)
- Yingfang She
- Neurology Center, The Seventh Affiliated Hospital of Sun yat-sen University, Shenzhen, China
| | - Liemin Zhou
- Neurology Center, The Seventh Affiliated Hospital of Sun yat-sen University, Shenzhen, China.
| | - Yide Li
- Department of Critical Care, The Seventh Affiliated Hospital of Sun yat-sen University, Shenzhen, China.
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Trinka E, Rainer LJ, Granbichler CA, Zimmermann G, Leitinger M. Mortality, and life expectancy in Epilepsy and Status epilepticus-current trends and future aspects. FRONTIERS IN EPIDEMIOLOGY 2023; 3:1081757. [PMID: 38455899 PMCID: PMC10910932 DOI: 10.3389/fepid.2023.1081757] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Accepted: 01/31/2023] [Indexed: 03/09/2024]
Abstract
Patients with epilepsy carry a risk of premature death which is on average two to three times higher than in the general population. The risk of death is not homogenously distributed over all ages, etiologies, and epilepsy syndromes. People with drug resistant seizures carry the highest risk of death compared to those who are seizure free, whose risk is similar as in the general population. Most of the increased risk is directly related to the cause of epilepsy itself. Sudden unexplained death in epilepsy patients (SUDEP) is the most important cause of epilepsy-related deaths especially in the young and middle-aged groups. Population based studies with long-term follow up demonstrated that the first years after diagnosis carry the highest risk of death, while in the later years the mortality decreases. Improved seizure control and being exposed to a specialized comprehensive care centre may help to reduce the risk of death in patients with epilepsy. The mortality of status epilepticus is substantially increased with case fatality rates between 4.6% and 39%, depending on its cause and duration, and the age of the population studied. The epidemiological data on overall and cause specific mortality as well as their determinants and risk factors are critically reviewed and methodological issues pertinent to the studies on mortality of epilepsy and Status epilepticus are discussed.
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Affiliation(s)
- Eugen Trinka
- Department of Neurology, Christian-Doppler University Hospital, Paracelsus Medical University, Centre for Cognitive Neuroscience, Member of EpiCARE, Salzburg, Austria
- Neuroscience Institute, Christian-Doppler University Hospital, Paracelsus Medical University, Centre for Cognitive Neuroscience, Salzburg, Austria
- Institute of Public Health, Medical Decision-Making and HTA, UMIT – Private University for Health Sciences, Medical Informatics and Technology, Hall In Tyrol, Austria
| | - Lucas J. Rainer
- Department of Neurology, Christian-Doppler University Hospital, Paracelsus Medical University, Centre for Cognitive Neuroscience, Member of EpiCARE, Salzburg, Austria
- Neuroscience Institute, Christian-Doppler University Hospital, Paracelsus Medical University, Centre for Cognitive Neuroscience, Salzburg, Austria
| | | | - Georg Zimmermann
- Department of Neurology, Christian-Doppler University Hospital, Paracelsus Medical University, Centre for Cognitive Neuroscience, Member of EpiCARE, Salzburg, Austria
- Team Biostatistics and Big Medical Data, IDA Lab Salzburg, Paracelsus Medical University, Salzburg, Austria
- Research and Innovation Management, Paracelsus Medical University, Salzburg, Austria
| | - Markus Leitinger
- Department of Neurology, Christian-Doppler University Hospital, Paracelsus Medical University, Centre for Cognitive Neuroscience, Member of EpiCARE, Salzburg, Austria
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Müller A, von Hofen-Hohloch J, Awissus C, Przybilla J, Mrestani A, Classen J. Does diabetes mellitus affect the safety profile of valproic acid for the treatment of status epilepticus? A retrospective cohort study. Neurol Res Pract 2022; 4:52. [PMID: 36274160 PMCID: PMC9590127 DOI: 10.1186/s42466-022-00212-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Accepted: 08/10/2022] [Indexed: 11/12/2022] Open
Abstract
Background In the treatment of status epilepticus less is known about the influence of comorbidities on the safety profile of anticonvulsive drugs. Especially patients with diabetes mellitus may be predisposed to certain adverse events that have been related to therapy with valproic acid. In this single-center retrospective cohort study we examined if the complications of the intravenous treatment with valproic acid is different in patients with or without diabetes.
Methods Patients who were treated for status epilepticus with intravenous valproic acid between 2008 and 2020 were identified. Primary endpoint was the discontinuation of therapy with valproic acid due to adverse events. Relevant secondary endpoints were the functional status at the time of discharge from hospital in comparison to the premorbid state and the in-hospital mortality. Both groups (patients with or without diabetes) were compared by Mann–Whitney U-Test or Pearson´s Chi2 test. To identify therapy with valproic acid as a risk factor of in-hospital mortality, a binary regression model was used.
Results During the study period 408 patients and 482 episodes of status epilepticus were treated with intravenous valproic acid. Group comparisons did not reveal a significant difference in the rates of discontinuation of therapy. A difference was found in the rate of thrombocytopenia (p = 0.015), which occurred more often in patients with diabetes. In total, 36 hypoglycemic episodes could be identified, two occurred spontaneously under intravenous valproic acid. After correction for potential confounders, continuous therapy with valproic acid could not be confirmed as an independent risk factor for in-hospital mortality (p = 0.079). In patients with diabetes, the proportion of patients with a good functional state, indicated by the modified Rankin Scale, was significantly lower in both times (premorbid: 55% vs. 69%, p = 0.008; at discharge: 22% vs. 36%, p = 0.004).
Conclusions Tolerability of the treatment with valproic acid was similar in patients with or without diabetes. Diabetes as a relevant comorbidity can signal a potentially increased risk of a poor outcome after status epilepticus. Trial registration: The study was registered at the German Clinical Trials Register on 8 April 2022 (DRKS 00,027,836). Supplementary Information The online version contains supplementary material available at 10.1186/s42466-022-00212-w.
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Affiliation(s)
- Annekatrin Müller
- grid.9647.c0000 0004 7669 9786Department of Neurology, Leipzig University Medical Center, Liebigstraße 20, 04103 Leipzig, Germany
| | - Judith von Hofen-Hohloch
- grid.9647.c0000 0004 7669 9786Department of Neurology, Leipzig University Medical Center, Liebigstraße 20, 04103 Leipzig, Germany
| | - Carolin Awissus
- grid.9647.c0000 0004 7669 9786Department of Neurology, Leipzig University Medical Center, Liebigstraße 20, 04103 Leipzig, Germany
| | - Jens Przybilla
- grid.9647.c0000 0004 7669 9786Institute for Medical Informatics, Statistics and Epidemiology, Leipzig University, Leipzig, Germany
| | - Achmed Mrestani
- grid.9647.c0000 0004 7669 9786Department of Neurology, Leipzig University Medical Center, Liebigstraße 20, 04103 Leipzig, Germany
| | - Joseph Classen
- grid.9647.c0000 0004 7669 9786Department of Neurology, Leipzig University Medical Center, Liebigstraße 20, 04103 Leipzig, Germany
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Caranzano L, Novy J, Rossetti AO. Ketamine in adult super-refractory status epilepticus: Efficacy analysis on a prospective registry. Acta Neurol Scand 2022; 145:737-742. [PMID: 35274736 PMCID: PMC9310735 DOI: 10.1111/ane.13610] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Revised: 03/02/2022] [Accepted: 03/03/2022] [Indexed: 11/28/2022]
Abstract
Background Status epilepticus (SE) persisting despite two anti‐seizures medications (ASM) and anesthetics is labeled super refractory (SRSE), correlating with important morbidity and mortality. Its treatment relies on expert opinions. Due to its pharmacological properties, ketamine (KET) has received increasing attention, but data are essentially retrospective. Aims To describe an unselected cohort of adults receiving KET for SRSE. Methods Analysis of a prospective registry of consecutive SE episodes, identifying SRSE patients receiving ketamine (KET). Comparison with recent adult series including more than 10 patients. Results Eleven patients received KET after a median of 4 days (range: 2–20); median dose was 5 mg/kg/h (range: 2.5–15). KET provided permanent SE control in three (27%). Previous series, using KET administration delays and doses similar to our cohort, report KET efficacy in 28–96% of cases. Conclusions We found a lower SE control rate than existing literature, whose data are, however, often retrospective, potentially selecting patients with less severe SE forms or responding to KET. This might explain outcome differences, as KET administration modalities were comparable with our cohort. Since randomized controlled studies are lacking on this subject, the analysis of this prospective, unselected cohort, if confirmed, suggests a current overestimation of KET efficacy in SRSE.
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Affiliation(s)
- Leonardo Caranzano
- Department of Clinical Neurosciences, Neurology Service Lausanne University Hospital and University of Lausanne Lausanne Switzerland
| | - Jan Novy
- Department of Clinical Neurosciences, Neurology Service Lausanne University Hospital and University of Lausanne Lausanne Switzerland
| | - Andrea O. Rossetti
- Department of Clinical Neurosciences, Neurology Service Lausanne University Hospital and University of Lausanne Lausanne Switzerland
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Choi JW, Shin JW. Early Combination Therapy of Ketamine and Midazolam in Patients with Refractory Status Epilepticus in Hemodynamic Unstable State. J Epilepsy Res 2021; 11:150-153. [PMID: 35087725 PMCID: PMC8767219 DOI: 10.14581/jer.21023] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 11/04/2021] [Accepted: 11/04/2021] [Indexed: 01/25/2023] Open
Abstract
The use of anesthetics is inevitable to suppress seizure activity in refractory status epilepticus (RSE). Hypotension, which is a critical side effect observed when treating RSE using a higher dosage of anesthetics that enhance γ-aminobutyric acid (GABA) activity, often requires vasopressor agents. Concomitant treatment with N-methyl-D-aspartate (NMDA) receptor antagonists, such as ketamine, could be effective in prolonged refractory SE, while maintaining stable blood pressure owing to the blockage of catecholamine reuptake in the systemic circulation. We report two cases of patients who had RSE with hemodynamic instability treated promptly with an early combination of ketamine and low-dose midazolam. The combination treatment effectively suppressed epileptic discharge with less hemodynamic side effects; moreover, a low dose of midazolam was required when combined with ketamine therapy. The initial combination of a third-line therapy that blocks NMDA receptors with enhanced GABAergic activity could be useful in RSE. Further studies are necessary in many variable etiologies of SE.
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Affiliation(s)
- Jung-Won Choi
- Department of Neurology, CHA Bundang Medical Center, CHA University, Seongnam, Korea
| | - Jung-Won Shin
- Department of Neurology, CHA Bundang Medical Center, CHA University, Seongnam, Korea
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Lee JW. Only a Fine Line Separates Genius, Insanity, and Anesthetic Medication for Coma Induction in Status Epilepticus. Epilepsy Curr 2021; 21:424-426. [PMID: 34924848 PMCID: PMC8652327 DOI: 10.1177/15357597211041829] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
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Göl MF, Erdoğan FF, Yetkin MF, Bolattürk ÖF. Clinical findings, etiological factors, and prognosis markers in status epilepticus: a university hospital experience. Neurol Res 2021; 44:371-378. [PMID: 34758704 DOI: 10.1080/01616412.2021.1997009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
OBJECTIVE To determine the factors affecting mortality and disability in status epilepticus (SE) and to evaluate the prediction ability of the Status Epilepticus Severity Score (STESS) for disability and mortality. MATERIALS AND METHOD The demographic and clinical characteristics, prognosis and prognosis predictors of 72 patients who were diagnosed with SE between 2013 and 2018 were retrospectively evaluated. The STESS was used to predict prognosis, and the modified Rankin scale (mRS) was used to determine the disability at discharge. RESULTS The study population had a mean age of 45.4 ± 20.7, and it was found that mortality was 22.2% and acute symptomatic etiology played a 54.1% role in etiology. Advanced age, refractory SE or super-refractory SE, acute symptomatic etiology, and a history of epilepsy were related to mortality, symptomatic etiology (acute, progressive, remote), a history of hospitalization and epilepsy in intensive care or in other departments other than the neurology department were associated with disability. The sensitivity of STESS in predicting mortality was 100%, specificity was 69%, accuracy was 76.4%, positive predictive value (PPV) was 48.5%, and the negative predictive value (NPV) was 100%. The sensitivity of STESS in predicting mobilization during discharge was 55.6% with a 63.9% specificity and 59.7% accuracy, PPV was 60.6%, and NPV was 59%. CONCLUSION It was observed that STESS strongly predicts a good prognosis; however, it was not found to be useful in predicting motor disability during discharge. Thus, new studies should be conducted to predict and evaluate mobility in SE patients at discharge.
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Affiliation(s)
- Mehmet Fatih Göl
- Department of Neurology, Karadeniz Technical University Faculty of Medicine, Trabzon, Turkey
| | - Füsun Ferda Erdoğan
- Department of Neurology, Erciyes University Faculty of Medicine, Kayseri, Turkey
| | - Mehmet Fatih Yetkin
- Department of Neurology, Erciyes University Faculty of Medicine, Kayseri, Turkey
| | - Ömer Faruk Bolattürk
- Clinic of Neurology, T. C. Ministry of Health Kayseri City Education and Research Hospital, Kayseri, Turkey
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Zorlu MM, Chuang DT, Buyukozkan M, Aydemir S, Zarnegar R. Prognostic Significance of Cyclic Seizures in Status Epilepticus. J Clin Neurophysiol 2021; 38:516-524. [PMID: 32398513 DOI: 10.1097/wnp.0000000000000714] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
PURPOSE Status epilepticus (SE) is a commonly encountered neurologic condition associated with high mortality rates. Cyclic seizures (CS) are a common form of SE, but its prognostic significance has not been well established. In this retrospective study, the mortality of cyclic versus noncyclic forms (NCSs) of SE are compared. METHODS A total of 271 patients were identified as having seizures or SE on EEG reports, of which 65 patients were confirmed as having SE. Based on EEG characteristics, the patients were then classified as cyclic or noncyclic patterns. Cyclic seizures were defined as recurrent seizures occurring at nearly regular and uniform intervals. Noncyclic form included all other patterns of SE. Pertinent clinical data were collected and reviewed for each case. RESULTS Of the 65 patients with SE, 25 patients had CS and 40 patients had NCS. Patients with CS showed a lower rate of in-hospital mortality although not statistically significant (P = 0.19). When looking at patients younger than 75 years, the CS group had significantly lower in-hospital mortality rate (P = 0.007). CONCLUSIONS The findings of this study suggest that CS may have a more favorable outcome compared with NCS in patients younger than 75 years. This study is also the first to report the rate of CS among all cases of confirmed SE (38%). Future studies with a larger sample size are needed to further evaluate the difference in outcome between CS and NCS.
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Affiliation(s)
- Musab M Zorlu
- Department of Neurology, Weill Cornell Medical College, New York, New York, U.S.A
- Department of Neurology, New York Presbyterian Queens, Flushing, New York, U.S.A
- Department of Neurology, University of Connecticut Health Center, Farmington, Connecticut, U.S.A .; and
| | - David T Chuang
- Department of Neurology, Weill Cornell Medical College, New York, New York, U.S.A
- Department of Neurology, New York Presbyterian Queens, Flushing, New York, U.S.A
| | - Mustafa Buyukozkan
- Department of Physiology and Biophysics, Weill Cornell Medical College, New York, New York, U.S.A
| | - Seyhmus Aydemir
- Department of Neurology, Weill Cornell Medical College, New York, New York, U.S.A
- Department of Neurology, New York Presbyterian Queens, Flushing, New York, U.S.A
| | - Reza Zarnegar
- Department of Neurology, New York Presbyterian Queens, Flushing, New York, U.S.A
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