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Novais F, Pestana LC, Loureiro S, Andrea M, Figueira ML, Pimentel J. Predicting epilepsy surgery outcome in adult patients: May psychiatric diagnosis improve predictive models? Epilepsy Res 2021; 175:106690. [PMID: 34186383 DOI: 10.1016/j.eplepsyres.2021.106690] [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: 06/13/2020] [Revised: 05/20/2021] [Accepted: 06/18/2021] [Indexed: 11/19/2022]
Abstract
OBJECTIVE With this study, we aimed to assess the importance of including psychiatric disorders in a comprehensive prediction model for epilepsy surgery. METHODS Ambispective observational study with a sample of adults who underwent resective surgery. Participants were evaluated, before and one year after surgery, to collect data regarding their neurological and psychiatric history. The one-year post-surgical outcome was classified according to the Engel Outcome Scale. Previously identified predictors of post-surgical Engel Class were included in a logistic regression model. Then, the accuracy of alternative predictive models, including or excluding, past and current psychiatric diagnoses, were tried. RESULTS One hundred and forty-six people participated in this study. The inclusion of psychiatric diagnosis resulted in a model with a higher AUC curve, however, the Delong method showed no significant statistical differences between the models. SIGNIFICANCE Despite the fact that presurgical psychiatric diagnoses have shown to contribute to the prediction of epilepsy surgery outcome they do not contribute to a significant improvement of predictive models.
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Affiliation(s)
- Filipa Novais
- Department of Neurosciences and Mental Health, Psychiatry Department, Hospital de Santa Maria (CHULN), Lisbon, Portugal; Faculdade de Medicina, Universidade de Lisboa, Portugal; Centro de Referência de Epilepsia Refratária, Hospital de Santa Maria, (CHULN), Lisboa, Portugal; EpiCARE Network, European Reference Network for rare and complex epilepsies, Portugal.
| | - Luís Câmara Pestana
- Department of Neurosciences and Mental Health, Psychiatry Department, Hospital de Santa Maria (CHULN), Lisbon, Portugal; Faculdade de Medicina, Universidade de Lisboa, Portugal; Centro de Referência de Epilepsia Refratária, Hospital de Santa Maria, (CHULN), Lisboa, Portugal; EpiCARE Network, European Reference Network for rare and complex epilepsies, Portugal
| | - Susana Loureiro
- Department of Neurosciences and Mental Health, Psychiatry Department, Hospital de Santa Maria (CHULN), Lisbon, Portugal; Faculdade de Medicina, Universidade de Lisboa, Portugal; Centro de Referência de Epilepsia Refratária, Hospital de Santa Maria, (CHULN), Lisboa, Portugal; EpiCARE Network, European Reference Network for rare and complex epilepsies, Portugal
| | - Mafalda Andrea
- Department of Neurosciences and Mental Health, Psychiatry Department, Hospital de Santa Maria (CHULN), Lisbon, Portugal; Centro de Referência de Epilepsia Refratária, Hospital de Santa Maria, (CHULN), Lisboa, Portugal; EpiCARE Network, European Reference Network for rare and complex epilepsies, Portugal
| | - Maria Luísa Figueira
- Department of Neurosciences and Mental Health, Psychiatry Department, Hospital de Santa Maria (CHULN), Lisbon, Portugal; Faculdade de Medicina, Universidade de Lisboa, Portugal
| | - José Pimentel
- Faculdade de Medicina, Universidade de Lisboa, Portugal; Department of Neurosciences and Mental Health, Neurology Department, Hospital de Santa Maria (CHULN), Lisbon, Portugal; Centro de Referência de Epilepsia Refratária, Hospital de Santa Maria, (CHULN), Lisboa, Portugal; EpiCARE Network, European Reference Network for rare and complex epilepsies, Portugal
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Doherty C, Nowacki AS, Pat McAndrews M, McDonald CR, Reyes A, Kim MS, Hamberger M, Najm I, Bingaman W, Jehi L, Busch RM. Predicting mood decline following temporal lobe epilepsy surgery in adults. Epilepsia 2021; 62:450-459. [PMID: 33464568 DOI: 10.1111/epi.16800] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Revised: 12/05/2020] [Accepted: 12/07/2020] [Indexed: 11/30/2022]
Abstract
OBJECTIVE To develop a model to predict the probability of mood decline in adults following temporal lobe resection for the treatment of pharmacoresistant epilepsy. METHODS Variable selection was performed on 492 patients from the Cleveland Clinic using best subsets regression. After completing variable selection, a subset of variables was requested from four epilepsy surgery centers across North America (n = 100). All data were combined to develop a final model to predict postoperative mood decline (N = 592). Internal validation with bootstrap resampling was performed. A clinically significant increase in depressive symptoms was defined as a 15% increase in Beck Depression Inventory-Second Edition score and a postoperative raw score > 11. RESULTS Fourteen percent of patients in the Cleveland Clinic cohort and 22% of patients in the external cohort experienced clinically significant increases in depressive symptoms following surgery. The final prediction model included six predictor variables: psychiatric history, resection side, relationship status, verbal fluency score, age at preoperative testing, and presence/absence of malformation of cortical development on magnetic resonance imaging. The model had an optimism-adjusted c-statistic of .70 and good calibration, with slight probability overestimation in higher risk patients. SIGNIFICANCE Clinicians can utilize our nomogram via a paper tool or online calculator to estimate the risk of postoperative mood decline for individual patients prior to temporal lobe epilepsy surgery.
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Affiliation(s)
- Christine Doherty
- Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, OH, USA
| | - Amy S Nowacki
- Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Mary Pat McAndrews
- Department of Psychology, University of Toronto, Toronto, ON, Canada.,Krembil Brain Institute, University Health Network, Toronto, ON, Canada
| | - Carrie R McDonald
- Department of Psychiatry, University of California, San Diego, San Diego, CA, USA
| | - Anny Reyes
- Department of Psychiatry, University of California, San Diego, San Diego, CA, USA
| | - Michelle S Kim
- Department of Neurology, University of Washington School of Medicine, Seattle, WA, USA
| | - Marla Hamberger
- Department of Neurology, Columbia University, New York, New York, USA
| | - Imad Najm
- Epilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA.,Department of Neurology, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - William Bingaman
- Epilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Lara Jehi
- Epilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Robyn M Busch
- Epilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA.,Department of Neurology, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA
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Kang CM. Effects of psychological intervention and relevant influence factors on pregnant women undergoing interventional prenatal diagnosis. J Chin Med Assoc 2020; 83:202-205. [PMID: 31714444 DOI: 10.1097/jcma.0000000000000220] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND This study aims to explore the effects of psychological intervention on eliminating anxiety and fear in pregnant women caused by interventional prenatal diagnosis, and the success rate of surgery. METHODS A total of 100 pregnant women who scheduled for interventional prenatal diagnosis were included in this study, and were randomly divided into two groups: control group and intervention group. Women in the control group were given routine nursing care, and women in the intervention group were given psychological intervention in different stages of the operation. Psychological status were assessed by the symptom checklist-90 (SCL-90), self-rating anxiety scale (SAS), self-rating depression scale (SDS), and visual analogue scale (VAS). Furthermore, the success rate of surgery and the incidence of postoperative complications were tracked. RESULTS Compared with the control group, the SCL-90 test scores of pregnant women in the intervention group were significantly lower in the following five factors: somatization, interpersonal sensitivity, depression, anxiety, and fear (p < 0.05). Furthermore, postoperative SAS, SDS, and VAS scores in the intervention group were significantly lower than in the control group; and the differences were statistically significant (p < 0.01). CONCLUSION Before pregnant women undergo interventional prenatal diagnosis, nurses should understand their psychological status and give psychological guidance in time, calm their anxiety, tension and fear, and help them build confidence to weather the pregnancy stages before and after the operation. This would improve the success rate of puncture and reduce the incidence of complications.
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Affiliation(s)
- Chun-Mei Kang
- The Third Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
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