Mortality among patients with sepsis associated with a bispectral electroencephalography (BSEEG) score
Abstract We have previously developed a bispectral electroencephalography (BSEEG) device, which was shown to be effective in detecting delirium and predicting patient outcomes. In this study we aimed to apply the BSEEG approach for a sepsis. This was a retrospective cohort study conducted at a singl...
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| Format: | Article |
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Nature Portfolio
2021-07-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-021-93588-9 |
| _version_ | 1818347221965340672 |
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| author | Takehiko Yamanashi Pedro S. Marra Kaitlyn J. Crutchley Nadia E. Wahba Johnny R. Malicoat Eleanor J. Sullivan Cade C. Akers Catherine A. Nicholson Felipe M. Herrmann Matthew D. Karam Nicolas O. Noiseux Koichi Kaneko Eri Shinozaki Masaaki Iwata Hyunkeun Ryan Cho Sangil Lee Gen Shinozaki |
| author_facet | Takehiko Yamanashi Pedro S. Marra Kaitlyn J. Crutchley Nadia E. Wahba Johnny R. Malicoat Eleanor J. Sullivan Cade C. Akers Catherine A. Nicholson Felipe M. Herrmann Matthew D. Karam Nicolas O. Noiseux Koichi Kaneko Eri Shinozaki Masaaki Iwata Hyunkeun Ryan Cho Sangil Lee Gen Shinozaki |
| author_sort | Takehiko Yamanashi |
| collection | DOAJ |
| description | Abstract We have previously developed a bispectral electroencephalography (BSEEG) device, which was shown to be effective in detecting delirium and predicting patient outcomes. In this study we aimed to apply the BSEEG approach for a sepsis. This was a retrospective cohort study conducted at a single center. Sepsis-positive cases were identified based on retrospective chart review. EEG raw data and calculated BSEEG scores were obtained in the previous studies. The relationship between BSEEG scores and sepsis was analyzed, as well as the relationship among sepsis, BSEEG score, and mortality. Data were analyzed from 628 patients. The BSEEG score from the first encounter (1st BSEEG) showed a significant difference between patients with and without sepsis (p = 0.0062), although AUC was very small indicating that it is not suitable for detection purpose. Sepsis patients with high BSEEG scores showed the highest mortality, and non-sepsis patients with low BSEEG scores showed the lowest mortality. Mortality of non-sepsis patients with high BSEEG scores was as bad as that of sepsis patients with low BSEEG scores. Even adjusting for age, gender, comorbidity, and sepsis status, BSEEG remained a significant predictor of mortality (p = 0.008). These data are demonstrating its usefulness as a potential tool for identification of patients at high risk and management of sepsis. |
| first_indexed | 2024-12-13T17:30:43Z |
| format | Article |
| id | doaj.art-847e8d02d8ab4965b0e58fc01b0e7312 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-12-13T17:30:43Z |
| publishDate | 2021-07-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-847e8d02d8ab4965b0e58fc01b0e73122022-12-21T23:37:04ZengNature PortfolioScientific Reports2045-23222021-07-011111810.1038/s41598-021-93588-9Mortality among patients with sepsis associated with a bispectral electroencephalography (BSEEG) scoreTakehiko Yamanashi0Pedro S. Marra1Kaitlyn J. Crutchley2Nadia E. Wahba3Johnny R. Malicoat4Eleanor J. Sullivan5Cade C. Akers6Catherine A. Nicholson7Felipe M. Herrmann8Matthew D. Karam9Nicolas O. Noiseux10Koichi Kaneko11Eri Shinozaki12Masaaki Iwata13Hyunkeun Ryan Cho14Sangil Lee15Gen Shinozaki16Department of Psychiatry and Behavioral Sciences, Stanford University School of MedicineDepartment of Psychiatry, University of Iowa Carver College of MedicineDepartment of Psychiatry, University of Iowa Carver College of MedicineDepartment of Psychiatry, University of Iowa Carver College of MedicineDepartment of Psychiatry, University of Iowa Carver College of MedicineDepartment of Psychiatry, University of Iowa Carver College of MedicineDepartment of Psychiatry, University of Iowa Carver College of MedicineDepartment of Psychiatry, University of Iowa Carver College of MedicineDepartment of Psychiatry, University of Iowa Carver College of MedicineDepartment of Orthopedic Surgery, University of Iowa Carver College of MedicineDepartment of Orthopedic Surgery, University of Iowa Carver College of MedicineDepartment of Neuropsychiatry, Faculty of Medicine, Tottori UniversityDepartment of Internal Medicine, University of Iowa Carver College of MedicineDepartment of Neuropsychiatry, Faculty of Medicine, Tottori UniversityDepartment of Biostatistics, University of Iowa College of Public HealthDepartment of Emergency Medicine, University of Iowa Carver College of MedicineDepartment of Psychiatry and Behavioral Sciences, Stanford University School of MedicineAbstract We have previously developed a bispectral electroencephalography (BSEEG) device, which was shown to be effective in detecting delirium and predicting patient outcomes. In this study we aimed to apply the BSEEG approach for a sepsis. This was a retrospective cohort study conducted at a single center. Sepsis-positive cases were identified based on retrospective chart review. EEG raw data and calculated BSEEG scores were obtained in the previous studies. The relationship between BSEEG scores and sepsis was analyzed, as well as the relationship among sepsis, BSEEG score, and mortality. Data were analyzed from 628 patients. The BSEEG score from the first encounter (1st BSEEG) showed a significant difference between patients with and without sepsis (p = 0.0062), although AUC was very small indicating that it is not suitable for detection purpose. Sepsis patients with high BSEEG scores showed the highest mortality, and non-sepsis patients with low BSEEG scores showed the lowest mortality. Mortality of non-sepsis patients with high BSEEG scores was as bad as that of sepsis patients with low BSEEG scores. Even adjusting for age, gender, comorbidity, and sepsis status, BSEEG remained a significant predictor of mortality (p = 0.008). These data are demonstrating its usefulness as a potential tool for identification of patients at high risk and management of sepsis.https://doi.org/10.1038/s41598-021-93588-9 |
| spellingShingle | Takehiko Yamanashi Pedro S. Marra Kaitlyn J. Crutchley Nadia E. Wahba Johnny R. Malicoat Eleanor J. Sullivan Cade C. Akers Catherine A. Nicholson Felipe M. Herrmann Matthew D. Karam Nicolas O. Noiseux Koichi Kaneko Eri Shinozaki Masaaki Iwata Hyunkeun Ryan Cho Sangil Lee Gen Shinozaki Mortality among patients with sepsis associated with a bispectral electroencephalography (BSEEG) score Scientific Reports |
| title | Mortality among patients with sepsis associated with a bispectral electroencephalography (BSEEG) score |
| title_full | Mortality among patients with sepsis associated with a bispectral electroencephalography (BSEEG) score |
| title_fullStr | Mortality among patients with sepsis associated with a bispectral electroencephalography (BSEEG) score |
| title_full_unstemmed | Mortality among patients with sepsis associated with a bispectral electroencephalography (BSEEG) score |
| title_short | Mortality among patients with sepsis associated with a bispectral electroencephalography (BSEEG) score |
| title_sort | mortality among patients with sepsis associated with a bispectral electroencephalography bseeg score |
| url | https://doi.org/10.1038/s41598-021-93588-9 |
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