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Misirocchi F, Zilioli A, Mannini E, Lazzari S, Mutti C, Zinno L, Parrino L, De Stefano P, Florindo I. Prognostic value of Salzburg nonconvulsive status epilepticus criteria: The SACE score. Epilepsia 2024; 65:138-147. [PMID: 37965804 DOI: 10.1111/epi.17830] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 11/11/2023] [Accepted: 11/13/2023] [Indexed: 11/16/2023]
Abstract
OBJECTIVE This study was undertaken to investigate the association between the Salzburg nonconvulsive status epilepticus (NCSE) criteria and in-hospital outcome, to determine the predictive accuracy of the Status Epilepticus Severity Score (STESS), modified STESS (mSTESS), Epidemiology-Based Mortality Score in Status Epilepticus (EMSE), and END-IT (encephalitis, NCSE, diazepam resistance, imaging features, and tracheal intubation) in NCSE patients, and to develop a new prognostic score specifically designed for NCSE patients. METHODS Clinical and electroencephalographic (EEG) data of adult patients treated for NCSE from 2020 to 2023 were retrospectively assessed. Age, sex, modified Rankin Scale at admission, comorbidities, history of seizures, etiology, status epilepticus type, and outcome were collected from the patients' digital charts. EEG data were assessed and categorized applying the Salzburg NCSE criteria. In-hospital death was defined as the primary outcome. RESULTS A total of 116 NCSE patients were included. Multivariable logistic regression revealed that Salzburg NCSE criterion A2 (ictal morphological, spatial, and temporal evolution) was associated with in-hospital survival. The best STESS cutoff was ≥4 (sensitivity = .62, specificity = .69, accuracy = 67%). mSTESS ≥ 5 reached a sensitivity of .68, a specificity of .57, and an overall accuracy of 60%, EMSE ≥ 64 a sensitivity of .82, a specificity of .39, and an overall accuracy of 52%, and END-IT ≥ 3 a sensitivity of .65, a specificity of .44, and an overall accuracy of 50%. Through a hypothesis-generating approach, we developed the SACE score, which integrates EEG features (criterion A2) with patient age (with a 75-year cutoff), history of seizures, and level of consciousness. With a cutoff of ≥3, it had a sensitivity of .77, a specificity of .74, and an overall accuracy of 76%, performing better than other prognostic scores. SIGNIFICANCE We developed a new user-friendly scoring system, the SACE score, which integrates EEG features with other established outcome-related variables assessable in early stages, to assist neurologists and neurointensivists in making more tailored prognostic decisions for NCSE patients.
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Affiliation(s)
- Francesco Misirocchi
- Unit of Neurology, Department of Medicine and Surgery, University of Parma, Parma, Italy
| | - Alessandro Zilioli
- Unit of Neurology, Department of Medicine and Surgery, University of Parma, Parma, Italy
| | - Elisa Mannini
- Unit of Neurology, Department of Medicine and Surgery, University of Parma, Parma, Italy
| | - Stefania Lazzari
- Unit of Neurology, Department of Medicine and Surgery, University of Parma, Parma, Italy
| | - Carlotta Mutti
- Unit of Neurology, University Hospital of Parma, Parma, Italy
- Sleep Disorders Center, Department of Medicine and Surgery, University of Parma, Parma, Italy
| | - Lucia Zinno
- Unit of Neurology, University Hospital of Parma, Parma, Italy
| | - Liborio Parrino
- Unit of Neurology, Department of Medicine and Surgery, University of Parma, Parma, Italy
- Sleep Disorders Center, Department of Medicine and Surgery, University of Parma, Parma, Italy
| | - Pia De Stefano
- EEG and Epilepsy Unit, Department of Clinical Neurosciences, University Hospital of Geneva, Geneva, Switzerland
- Neuro-Intensive Care Unit, Department of Intensive Care, University Hospital of Geneva, Geneva, Switzerland
| | - Irene Florindo
- Unit of Neurology, University Hospital of Parma, Parma, Italy
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Liao Q, Li SZ, Zeng QQ, Zhou JX, Huang K, Bi FF. The value of serum albumin concentration in predicting functional outcome of status epilepticus: An observational study. Epileptic Disord 2023; 25:150-159. [PMID: 37358922 DOI: 10.1002/epd2.20001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2022] [Revised: 09/12/2022] [Accepted: 09/23/2022] [Indexed: 06/28/2023]
Abstract
OBJECTIVE Status epilepticus (SE) is a common neurological emergency with unsatisfying prognoses, and accurate prediction of functional outcome is beneficial in clinical decision-making. The relationship between serum albumin concentration and outcome of SE patients has yet to be unveiled. METHODS Clinical profiles of SE patients admitted to Xiangya Hospital, Central South University, from April 2017 to November 2020, were analyzed retrospectively. Outcomes of SE patients at discharge were divided into two groups based on the modified Rankin Scale (mRS): favorable outcome (mRS: 0-3) and unfavorable outcome (mRS: 4-6). RESULTS Fifty-one patients were enrolled. Unfavorable functional outcome at discharge was reported in 60.8% (31/51). Serum albumin concentration at admission and the Encephalitis-NCSE-Diazepam resistance-Image abnormalities-Tracheal intubation (END-IT) score remained independent predictors for functional outcome of SE patients. A lower albumin concentration at admission and higher END-IT score indicated a higher chance of unfavorable outcome for SE patients. The cut-off value of serum albumin to predict unfavorable outcome was 35.2 g/L, with a sensitivity of 67.7% and specificity of 85.0%, and an area under the receiver operating characteristic curve (ROC) of .738 (95% CI: .600-.876, p = .004). The preferable END-IT score with optimal sensitivity (74.2%) and specificity (60%) was 2 and the area under the ROC was .742, with 95% CI of .608-.876 (p = .004). SIGNIFICANCE Serum albumin concentration at admission and the END-IT score are two independent predictive factors for short-term outcome of SE patients, moreover, the serum albumin concentration is not inferior to the END-IT score in indicating functional outcome at discharge.
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Affiliation(s)
- Qiao Liao
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Si-Zhuo Li
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Qian-Qian Zeng
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Jin-Xia Zhou
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Kun Huang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Fang-Fang Bi
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
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Jiang Y, Cai MY, Yang Y, Geng JH, Zhang Y, Zhang LP, Ding MP, Ni FL. Prediction of in-hospital mortality in status epilepticus: Evaluation of four scoring tools in younger and older adult patients. Epilepsy Behav 2021; 114:107572. [PMID: 33268015 DOI: 10.1016/j.yebeh.2020.107572] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2020] [Revised: 10/19/2020] [Accepted: 10/19/2020] [Indexed: 11/24/2022]
Abstract
OBJECTIVE The goal of this study was to evaluate the predictive capacity of four scoring tools: the Status Epilepticus Severity Score (STESS), the Encephalitis-NCSE-Diazepam resistance-Image abnormalities-Tracheal intubation (END-IT) score, and two variable combinations of the Epidemiology-based Mortality Score in Status Epilepticus (EMSE) in younger and older adult patients with status epilepticus (SE). METHODS We present a retrospective hospital-based analysis with a focus on adult patients with SE at three tertiary care hospitals in the Zhejiang province of China. Data were collected from January 2013 to December 2018. The patients were divided into two groups: younger adult patients (18-64 years old) and older adult patients (≥65 years old). Clinical outcomes (dead or alive) were assessed at hospital discharge. The four scoring tools were used to predict in-hospital mortality in both younger and older adult patients. RESULTS The mortality rate in older adult patients (25.4%) was higher than in younger adult patients (12.9%). Compared with the elderly, the younger adult patients had a higher proportion of encephalitis, while acute cerebrovascular disease and Charlson Complications Index (CCI) were lower. For the younger adult patients, END-IT had the largest area under the curve (AUC) of 0.843 (95% CI, 0.772-0.899), which was higher than the EMSE-EAL value of 0.687 (95% CI, 0.603-0.763, p < 0.05) and EMSE-EAC of 0.646 (95% CI, 0.561-0.725, p < 0.05). For the older adult patients, EMSE-EAL had the largest AUC of 0.843 (95% CI, 0.738-0.919), which was significantly higher than STESS with an AUC of 0.676 (95% CI, 0.554-0.782, p < 0.05). Moreover, the AUC of EMSE-EAL in the elderly was larger than in younger adult patients. The cutoffs in younger adult patients were STESS ≥ 4 (sensitivity 0.444, specificity 0.951), END-IT ≥ 3 (sensitivity 0.833, specificity 0.672), EMSE-EAL ≥ 31 (sensitivity 0.778, specificity 0.566), and EMSE-EAC ≥ 33 (sensitivity 0.833, specificity 0.492). However, the cutoffs in older adult patients were STESS ≥ 5 (sensitivity 0.500, specificity 0.925), END-IT ≥ 2 (sensitivity 0.944, specificity 0.547), EMSE-EAL ≥ 30 (sensitivity 0.944, specificity 0.623), and EMSE-EAC ≥ 31 (sensitivity 0.944, specificity 0.415). CONCLUSION Our results indicated that the STESS, END-IT, EMSE-EAC, and EMSE-EAL scores have excellent capacity to predict in-hospital mortality in both younger and older adult patients with SE. Our study supports the use of END-IT in patients under 65 years of age and suggests that EMSE-EAL is the most suitable scoring tool for patients over 65.
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Jiang Y, Yang Y, Feng F, Zhang Y, Wang XH, Ni FL, Hou Q, Zhang LP. Improving the ability to predict hospital mortality among adults by combining two status epilepticus outcome scoring tools. Epilepsy Behav 2020; 110:107149. [PMID: 32480304 DOI: 10.1016/j.yebeh.2020.107149] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2020] [Revised: 04/26/2020] [Accepted: 04/26/2020] [Indexed: 11/18/2022]
Abstract
OBJECTIVE The goal of this study was to compare the predictive ability of the Status Epilepticus Severity Score (STESS), the Encephalitis-nonconvulsive status epilepticus (NCSE)-Diazepam resistance-Image abnormalities-Tracheal intubation (END-IT), and the combination of these two scoring tools to predict mortality among inhospital patients with status epilepticus (SE). METHODS A retrospective analysis was conducted of adult patients with SE who were admitted to the neurology department, the emergency department, and the intensive care unit from January 2013 to December 2017. The patients were divided into two groups: survivors and nonsurvivors. The STESS data were obtained when the patient arrived at the hospital, and the END-IT data were collected 24 h after patients were initially treated in the hospital. The ability of the scoring tools to predict death in patients with SE, alone or in combination, was evaluated. RESULTS A total of 123 patients with SE were included in the study, of which 22 died, for a mortality rate of 17.9%. The STESS and END-IT scores of nonsurvivors were both significantly higher than those of survivors (median STESS 4 vs. 2, p = 0.003; median END-IT 3 vs. 1, p < 0.001). The area under the receiver operating characteristic curve (AUC) was 0.698 for the STESS and 0.852 for the END-IT, and the cutoff values were 4 and 3, respectively. The AUC of the END-IT with the optimal cutoff value was larger than that of the STESS (p = 0.024). The sensitivity and specificity of combining the STESS and END-IT by the serial method (STESS ≥ 4∩END-IT ≥ 3) were 0.50 and 0.95, respectively, and the specificity was significantly higher than the STESS or END-IT (both p's < 0.001). The sensitivity and specificity of combining the STESS and END-IT by the parallel method (STESS ≥ 4⋃END-IT ≥ 3) were 0.91 and 0.53, respectively, and the sensitivity was higher than the STESS was (p = 0.016). CONCLUSION Our results indicated that the combined score of the STESS and END-IT systems was a better predictor of survival of patients with SE than the scores of either the STESS system or the END-IT system alone and that combining the scores may be considered to be a new method for early identification of patients for both good and bad outcomes.
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Affiliation(s)
- Yan Jiang
- Department of Neurology, The First Affiliated Hospital, Zhejiang Chinese Medical University, Hangzhou, China
| | - Yi Yang
- Department of Neurology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Fei Feng
- Department of Gerontology, Hangzhou First People's Hospital, Hangzhou, China
| | - Ying Zhang
- Clinical Evaluation Analysis Center, The First Affiliated Hospital, Zhejiang Chinese Medical University, Hangzhou, China
| | - Xiao-Hang Wang
- Department of Neurology, The First Affiliated Hospital, Zhejiang Chinese Medical University, Hangzhou, China
| | - Fei-Lin Ni
- Department of Neurology, The First Affiliated Hospital, Zhejiang Chinese Medical University, Hangzhou, China
| | - Qun Hou
- Department of Neurology, The First Affiliated Hospital, Zhejiang Chinese Medical University, Hangzhou, China
| | - Li-Ping Zhang
- Department of Neurology, The First Affiliated Hospital, Zhejiang Chinese Medical University, Hangzhou, China.
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Lin CH, Ho CJ, Lu YT, Shih FY, Chuang YC, Tsai MH. Predicting the Functional Outcome of Adult Patients with Status Epilepticus. J Clin Med 2019; 8:jcm8070992. [PMID: 31288449 PMCID: PMC6678186 DOI: 10.3390/jcm8070992] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2019] [Revised: 07/02/2019] [Accepted: 07/04/2019] [Indexed: 11/16/2022] Open
Abstract
Patients that survive status epilepticus (SE) may suffer from neurological and cognitive deficits that cause severe disabilities. An effective scoring system for functional outcome prediction may help the clinician in making treatment decisions for SE patients. Three scoring systems, namely the Status Epilepticus Severity Score (STESS), the Epidemiology-Based Mortality Score in Status Epilepticus (EMSE), and the Encephalitis-Nonconvulsive Status Epilepticus-Diazepam Resistance-Image Abnormalities-Tracheal Intubation (END-IT), have been developed in the past decade to predict the outcomes of patients with SE. Our study aimed at evaluating the effectiveness of these scores in predicting the function outcomes both at and after discharge in SE patients. We retrospectively reviewed the clinical data of 55 patients admitted to our neurological intensive care unit between January 2017 and December 2017. The clinical outcomes at discharge and at last follow-up were graded using the modified Rankin Scale. Our research indicated that STESS was the most sensitive and EMSE was the most specific predictive scoring method for SE outcome prediction. On the other hand, END-IT predicted functional outcomes in SE patients poorly. We concluded that STESS and EMSE can accurately predict the functional outcomes in SE patients both at discharge and the follow-up period.
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Affiliation(s)
- Chih-Hsiang Lin
- Department of Neurology, Kaohsiung Chang Gung Memorial Hospital, College of Medicine, Chang Gung University, Kaohsiung City 83301, Taiwan
| | - Chen-Jui Ho
- Department of Neurology, Kaohsiung Chang Gung Memorial Hospital, College of Medicine, Chang Gung University, Kaohsiung City 83301, Taiwan
| | - Yan-Ting Lu
- Department of Neurology, Kaohsiung Chang Gung Memorial Hospital, College of Medicine, Chang Gung University, Kaohsiung City 83301, Taiwan
| | - Fu-Yuan Shih
- Department of Neurosurgery, Kaohsiung Chang Gung Memorial Hospital, College of Medicine, Chang Gung University, Kaohsiung City 83301, Taiwan
| | - Yao-Chung Chuang
- Department of Neurology, Kaohsiung Chang Gung Memorial Hospital, College of Medicine, Chang Gung University, Kaohsiung City 83301, Taiwan
- Department of Biological Science, National Sun Yet-Sen University, Kaohsiung City 80424, Taiwan
| | - Meng-Han Tsai
- Department of Neurology, Kaohsiung Chang Gung Memorial Hospital, College of Medicine, Chang Gung University, Kaohsiung City 83301, Taiwan.
- School of Medicine, College of Medicine, Chang Gung University, Taoyuan City 33302, Taiwan.
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Abstract
Currently, there are 4 published scales evaluating status epilepticus (SE) prognosis: the Status Epilepticus Severity Score (STESS), the Epidemiology-based Mortality score in Status Epilepticus (EMSE), the modified STESS (mSTESS), and the Encephalitis Nonconvulsive Status Epilepticus Diazepam Resistence Imaging Tracheal Intubation (END-IT) score. The first prognostic score published for SE, the STESS, is a simple and practical scale that evaluates patient prognosis upon admission and is used widely to predict the outcome and stratify patients. Another scale, which was developed based on large epidemiologic studies, the EMSE, is more easily adapted to different regions around the world when assessing individual risk and stratifying patients in interventional studies. The mSTESS was created by adding the modified Rankin Scale (mRS) to the STESS, which decreases the ceiling effect and increases the mortality prediction capabilities of the STESS. The END-IT is the only prognostic scale assessing functional outcome and is comprehensively simple and satisfyingly accurate. Evaluating the limitations of each of these scales aids in the exploration and advancement of SE prognostic scales, thereby facilitating better clinical interventions and scientific research.
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Affiliation(s)
- Fang Yuan
- Department of Neurology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Qiong Gao
- Department of Neurology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Wen Jiang
- Department of Neurology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
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Reindl C, Knappe RU, Sprügel MI, Sembill JA, Mueller TM, Hamer HM, Huttner HB, Madžar D. Comparison of scoring tools for the prediction of in-hospital mortality in status epilepticus. Seizure 2018; 56:92-97. [PMID: 29455141 DOI: 10.1016/j.seizure.2018.01.024] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2017] [Revised: 01/29/2018] [Accepted: 01/30/2018] [Indexed: 12/27/2022] Open
Abstract
PURPOSE Several scoring tools have been developed for the prognostication of outcome after status epilepticus (SE). In this study, we compared the performances of STESS (Status Epilepticus Severity Score), mSTESS (modified STESS), EMSE-EAL (Epidemiology-based Mortality Score in Status Epilepticus- Etiology, Age, Level of Consciousness) and END-IT (Encephalitis-NCSE-Diazepam resistance-Image abnormalities-Tracheal intubation) in predicting in-hospital mortality after SE. METHOD Data collected retrospectively from a cohort of 287 patients with SE were used to calculate STESS, mSTESS, EMSE-EAL, and END-IT scores. The differences between the scores' performances were determined by means of area under the ROC curve (AUC) comparisons and McNemar testing. RESULTS The in-hospital mortality rate was 11.8%. The AUC of STESS (0.628; 95% confidence interval (CI), 0.529-0.727) was similar to that of mSTESS (0.620; 95% CI, 0.510-0.731), EMSE-EAL (0.556; 95% CI, 0.446-0.665), and END-IT (0.659; 95% CI, 0.550-0.768; p > .05 for each comparison) in predicting in-hospital mortality. STESS with a cutoff of 3 was found to have lowest specificity and number of correctly classified episodes. EMSE-EAL with a cutoff at 40 had highest specificity and showed a trend towards more correctly classified episodes while sensitivity tended to be low. END-IT with a cutoff of 3 had the most balanced sensitivity-specificity ratio. CONCLUSIONS EMSE-EAL is as easy to calculate as STESS and tended towards higher diagnostic accuracy. Adding information on premorbid functional status to STESS did not enhance outcome prediction. END-IT was not superior to other scores in prediction of in-hospital mortality despite including information of diagnostic work-up and response to initial treatment.
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Affiliation(s)
- Caroline Reindl
- Department of Neurology, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany.
| | - Ruben U Knappe
- Department of Neurology, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany.
| | - Maximilian I Sprügel
- Department of Neurology, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany.
| | - Jochen A Sembill
- Department of Neurology, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany.
| | - Tamara M Mueller
- Department of Neurology, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany.
| | - Hajo M Hamer
- Department of Neurology, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany.
| | - Hagen B Huttner
- Department of Neurology, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany.
| | - Dominik Madžar
- Department of Neurology, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany.
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