Prediction tools and risk stratification in epilepsy surgery

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Prediction tools and risk stratification in epilepsy surgery. / Hadady, Levente; Sperling, Michael R.; Alcala-Zermeno, Juan Luis; French, Jacqueline A.; Dugan, Patricia; Jehi, Lara; Fabó, Dániel; Klivényi, Péter; Rubboli, Guido; Beniczky, Sándor.

I: Epilepsia, Bind 65, Nr. 2, 2024, s. 414-421.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Hadady, L, Sperling, MR, Alcala-Zermeno, JL, French, JA, Dugan, P, Jehi, L, Fabó, D, Klivényi, P, Rubboli, G & Beniczky, S 2024, 'Prediction tools and risk stratification in epilepsy surgery', Epilepsia, bind 65, nr. 2, s. 414-421. https://doi.org/10.1111/epi.17851

APA

Hadady, L., Sperling, M. R., Alcala-Zermeno, J. L., French, J. A., Dugan, P., Jehi, L., Fabó, D., Klivényi, P., Rubboli, G., & Beniczky, S. (2024). Prediction tools and risk stratification in epilepsy surgery. Epilepsia, 65(2), 414-421. https://doi.org/10.1111/epi.17851

Vancouver

Hadady L, Sperling MR, Alcala-Zermeno JL, French JA, Dugan P, Jehi L o.a. Prediction tools and risk stratification in epilepsy surgery. Epilepsia. 2024;65(2):414-421. https://doi.org/10.1111/epi.17851

Author

Hadady, Levente ; Sperling, Michael R. ; Alcala-Zermeno, Juan Luis ; French, Jacqueline A. ; Dugan, Patricia ; Jehi, Lara ; Fabó, Dániel ; Klivényi, Péter ; Rubboli, Guido ; Beniczky, Sándor. / Prediction tools and risk stratification in epilepsy surgery. I: Epilepsia. 2024 ; Bind 65, Nr. 2. s. 414-421.

Bibtex

@article{abb3dd7782a444708e61f285c20d5571,
title = "Prediction tools and risk stratification in epilepsy surgery",
abstract = "Objective: This study was undertaken to conduct external validation of previously published epilepsy surgery prediction tools using a large independent multicenter dataset and to assess whether these tools can stratify patients for being operated on and for becoming free of disabling seizures (International League Against Epilepsy stage 1 and 2). Methods: We analyzed a dataset of 1562 patients, not used for tool development. We applied two scales: Epilepsy Surgery Grading Scale (ESGS) and Seizure Freedom Score (SFS); and two versions of Epilepsy Surgery Nomogram (ESN): the original version and the modified version, which included electroencephalographic data. For the ESNs, we used calibration curves and concordance indexes. We stratified the patients into three tiers for assessing the chances of attaining freedom from disabling seizures after surgery: high (ESGS = 1, SFS = 3–4, ESNs > 70%), moderate (ESGS = 2, SFS = 2, ESNs = 40%–70%), and low (ESGS = 2, SFS = 0–1, ESNs < 40%). We compared the three tiers as stratified by these tools, concerning the proportion of patients who were operated on, and for the proportion of patients who became free of disabling seizures. Results: The concordance indexes for the various versions of the nomograms were between.56 and.69. Both scales (ESGS, SFS) and nomograms accurately stratified the patients for becoming free of disabling seizures, with significant differences among the three tiers (p <.05). In addition, ESGS and the modified ESN accurately stratified the patients for having been offered surgery, with significant difference among the three tiers (p <.05). Significance: ESGS and the modified ESN (at thresholds of 40% and 70%) stratify patients undergoing presurgical evaluation into three tiers, with high, moderate, and low chance for favorable outcome, with significant differences between the groups concerning having surgery and becoming free of disabling seizures. Stratifying patients for epilepsy surgery has the potential to help select the optimal candidates in underprivileged areas and better allocate resources in developed countries.",
keywords = "epilepsy surgery, prediction tools, risk stratification",
author = "Levente Hadady and Sperling, {Michael R.} and Alcala-Zermeno, {Juan Luis} and French, {Jacqueline A.} and Patricia Dugan and Lara Jehi and D{\'a}niel Fab{\'o} and P{\'e}ter Kliv{\'e}nyi and Guido Rubboli and S{\'a}ndor Beniczky",
note = "Publisher Copyright: {\textcopyright} 2023 International League Against Epilepsy.",
year = "2024",
doi = "10.1111/epi.17851",
language = "English",
volume = "65",
pages = "414--421",
journal = "Epilepsia",
issn = "0013-9580",
publisher = "Wiley-Blackwell",
number = "2",

}

RIS

TY - JOUR

T1 - Prediction tools and risk stratification in epilepsy surgery

AU - Hadady, Levente

AU - Sperling, Michael R.

AU - Alcala-Zermeno, Juan Luis

AU - French, Jacqueline A.

AU - Dugan, Patricia

AU - Jehi, Lara

AU - Fabó, Dániel

AU - Klivényi, Péter

AU - Rubboli, Guido

AU - Beniczky, Sándor

N1 - Publisher Copyright: © 2023 International League Against Epilepsy.

PY - 2024

Y1 - 2024

N2 - Objective: This study was undertaken to conduct external validation of previously published epilepsy surgery prediction tools using a large independent multicenter dataset and to assess whether these tools can stratify patients for being operated on and for becoming free of disabling seizures (International League Against Epilepsy stage 1 and 2). Methods: We analyzed a dataset of 1562 patients, not used for tool development. We applied two scales: Epilepsy Surgery Grading Scale (ESGS) and Seizure Freedom Score (SFS); and two versions of Epilepsy Surgery Nomogram (ESN): the original version and the modified version, which included electroencephalographic data. For the ESNs, we used calibration curves and concordance indexes. We stratified the patients into three tiers for assessing the chances of attaining freedom from disabling seizures after surgery: high (ESGS = 1, SFS = 3–4, ESNs > 70%), moderate (ESGS = 2, SFS = 2, ESNs = 40%–70%), and low (ESGS = 2, SFS = 0–1, ESNs < 40%). We compared the three tiers as stratified by these tools, concerning the proportion of patients who were operated on, and for the proportion of patients who became free of disabling seizures. Results: The concordance indexes for the various versions of the nomograms were between.56 and.69. Both scales (ESGS, SFS) and nomograms accurately stratified the patients for becoming free of disabling seizures, with significant differences among the three tiers (p <.05). In addition, ESGS and the modified ESN accurately stratified the patients for having been offered surgery, with significant difference among the three tiers (p <.05). Significance: ESGS and the modified ESN (at thresholds of 40% and 70%) stratify patients undergoing presurgical evaluation into three tiers, with high, moderate, and low chance for favorable outcome, with significant differences between the groups concerning having surgery and becoming free of disabling seizures. Stratifying patients for epilepsy surgery has the potential to help select the optimal candidates in underprivileged areas and better allocate resources in developed countries.

AB - Objective: This study was undertaken to conduct external validation of previously published epilepsy surgery prediction tools using a large independent multicenter dataset and to assess whether these tools can stratify patients for being operated on and for becoming free of disabling seizures (International League Against Epilepsy stage 1 and 2). Methods: We analyzed a dataset of 1562 patients, not used for tool development. We applied two scales: Epilepsy Surgery Grading Scale (ESGS) and Seizure Freedom Score (SFS); and two versions of Epilepsy Surgery Nomogram (ESN): the original version and the modified version, which included electroencephalographic data. For the ESNs, we used calibration curves and concordance indexes. We stratified the patients into three tiers for assessing the chances of attaining freedom from disabling seizures after surgery: high (ESGS = 1, SFS = 3–4, ESNs > 70%), moderate (ESGS = 2, SFS = 2, ESNs = 40%–70%), and low (ESGS = 2, SFS = 0–1, ESNs < 40%). We compared the three tiers as stratified by these tools, concerning the proportion of patients who were operated on, and for the proportion of patients who became free of disabling seizures. Results: The concordance indexes for the various versions of the nomograms were between.56 and.69. Both scales (ESGS, SFS) and nomograms accurately stratified the patients for becoming free of disabling seizures, with significant differences among the three tiers (p <.05). In addition, ESGS and the modified ESN accurately stratified the patients for having been offered surgery, with significant difference among the three tiers (p <.05). Significance: ESGS and the modified ESN (at thresholds of 40% and 70%) stratify patients undergoing presurgical evaluation into three tiers, with high, moderate, and low chance for favorable outcome, with significant differences between the groups concerning having surgery and becoming free of disabling seizures. Stratifying patients for epilepsy surgery has the potential to help select the optimal candidates in underprivileged areas and better allocate resources in developed countries.

KW - epilepsy surgery

KW - prediction tools

KW - risk stratification

U2 - 10.1111/epi.17851

DO - 10.1111/epi.17851

M3 - Journal article

C2 - 38060351

AN - SCOPUS:85179937606

VL - 65

SP - 414

EP - 421

JO - Epilepsia

JF - Epilepsia

SN - 0013-9580

IS - 2

ER -

ID: 382446275