| Literature DB >> 34911471 |
Eylert Brodtkorb1,2, Sverre Georg Sæther3, Erlend Iversen Nakken4, Frithjof Grinde4, Arne Vaaler4,5, Ole Kristian Drange4,5,6.
Abstract
BACKGROUND: It is well known that patients with epilepsy have a high rate of psychiatric comorbidity. However, studies exploring epilepsy in psychiatric cohorts are scarce. The aim of this study was to examine the prevalence of seizure disorders in acute psychiatric inpatients.Entities:
Keywords: Acute psychiatric disorders; Acute psychiatry; Epilepsy; Prevalence; Seizures
Mesh:
Year: 2021 PMID: 34911471 PMCID: PMC8672464 DOI: 10.1186/s12888-021-03619-y
Source DB: PubMed Journal: BMC Psychiatry ISSN: 1471-244X Impact factor: 3.630
Percentages of patients scoring positive to different seizure disorder screening criteria
| Frequencies (% (N) [95% CI]) | |
|---|---|
| Positive screen of epilepsya | 11.6% (44) [95% CI: 8.4-14.8%] |
| ICD-9/10 coded data of epilepsyb | 10.0% (38) [95% CI: 7.0-13.0%] |
| Self-report of seizuresc | 18.4% (70) [95% CI: 14.5-22.3%] |
| Self-report of epilepsyd | 5.0% (19) [95% CI: 2.8-7.2%] |
aPositive screen of epilepsy encompasses both International Classification of Diseases (ICD)-9/10 coded data and/or self-report of epilepsy
bICD-9/10 coded data for epilepsy represents all encounters for a 345/G40-41 diagnosis in the medical health records from 1987 to 2020
cSelf-report of seizures was assessed with the following question: “Have you ever had a seizure?”. Missing data in 75 patients (19.7%)
dSelf report of epilepsy was assessed with the following question: “Are you or have you ever been treated for epilepsy?”. Missing data in 85 patients (22.4%)
Fig. 1Flow-chart of seizure disorders in 380 patients admitted to acute psychiatric care. aThree patients had combined epilepsy + acute symptomatic seizures; 2 had epilepsy + psychogenic non-epileptic seizures + acute symptomatic seizures (Fig. 2). bFifty one patients reporting to ever having had epilepsy or seizures had no evidence of seizure disorders in their medical records
Fig. 2Venn diagram illustrating the distribution and overlap of seizure disorders in acute psychiatric inpatients
Demographic data for patients with different seizure disorders
| Acute symptomatic seizures ( | Psychogenic non-epileptic seizures ( | Definite epilepsy ( | No seizure disorder ( | All ( | |
|---|---|---|---|---|---|
| Demographics | |||||
| Age (Mean (SD)) | 41 (14) | 30 (11) | 46 (18) | 40 (16) | 39 (15) |
| Female sex (N (%)) | 6 (28.6%) | 8 (88.9%) | 4 (26.7%) | 167 (49.0%) | 184 (48.4%) |
| Educational status | N (%) | N (%) | N (%) | N (%) | N (%) |
| Not completed secondary school | 0% | 0% | 0% | 0% | 0% |
| Secondary school | 13 (61.9%) | 4 (44.4%) | 4 (26.7%) | 147 (43.1%) | 166 (43.7%) |
| High school | 8 (38.1%) | 4 (44.4%) | 8 (53.3%) | 145 (42.5%) | 161 (42.4%) |
| Bachelor | 0% | 1 (11.1%) | 3 (20.0%) | 40 (11.7%) | 44 (11.6%) |
| Master | 0% | 0% | 0% | 7 (2.1%) | 7 (1.8%) |
| Ph. D. | 0% | 0% | 0% | 2 (0.6%) | 2 (0.5%) |
| Main diagnosis on admission | N (%) | N (%) | N (%) | N (%) | N (%) |
| F00-09 Organic psychiatric disorder | 0% | 0% | 2 (13.3%) | 16 (4.7%) | 18 (4.7%) |
| F10-19 Disorders related to psychoactive substance use | 11 (52.4%) | 2 (22.2%) | 4 (26.7%) | 67 (19.6%) | 80 (21.1%) |
| F20-29 Schizophrenia and other psychotic disorders | 1 (4.8%) | 1 (11.1%) | 0% | 49 (14.4%) | 51 (13.4%) |
| F30-31 Bipolar mood disorder | 2 (9.5%) | 0% | 3 (20.0%) | 51 (15.0%) | 56 (14.7%) |
| F32-39 Other mood disorder | 2 (9.5%) | 1 (11.1%) | 2 (13.3%) | 72 (21.1%) | 77 (20.3%) |
| F40-99 Other psychiatric disorders | 4 (19.0%) | 5 (55.6%) | 2 (13.3%) | 74 (21.7%) | 84 (22.1%) |
| Not psychiatric main diagnosis | 1 (4.8%) | 0% | 2 (13.3%) | 12 (3.5%) | 14 (3.7%) |
| Substance usea | N (%) | N (%) | N (%) | N (%) | N (%) |
| Benzodiazepines | 15 (71.4%) | 5 (55.6%) | 11 (73.3%) | 148 (43.3%) | 172 (45.3%) |
| Stimulants | 8 (38.1%) | 2 (22.2%) | 2 (13.3%) | 73 (21.4%) | 82 (21.6%) |
| Cannabis | 6 (28.6%) | 0% | 3 (20.0%) | 77 (22.6%) | 85 (22.4%) |
| Alcohol | 13 (61.9%) | 2 (22.2%) | 3 (20.0%) | 125 (36.7%) | 140 (36.8%) |
| Opioids | 4 (19.0%) | 3 (33.3%) | 2 (13.3%) | 56 (16.4%) | 63 (16.6%) |
| Medicationsb | N (%) | N (%) | N (%) | N (%) | N (%) |
| Anti-seizure medications | 5 (23.8%) | 2 (22.2%) | 8 (53.3%) | 35 (10.3%) | 48 (12.6%) |
| Antipsychotics | 7 (33.3%) | 2 (22.2%) | 7 (46.7%) | 105 (30.8%) | 118 (31.1%) |
| Antihistamines | 3 (14.3%) | 4 (44.4%) | 2 (13.3%) | 45 (13.2%) | 54 (14.2%) |
| Antidepressants | 7 (33.3%) | 5 (55.6%) | 5 (33.3%) | 89 (26.1%) | 103 (27.1%) |
| Lithium | 0% | 0% | 1 (6.7%) | 11 (3.2%) | 12 (3.2%) |
| Stimulants | 1 (4.8%) | 1 (11.1%) | 0% | 6 (1.8%) | 8 (2.1%) |
| Benzodiazepines | 8 (38.1%) | 5 (55.6%) | 6 (40.0%) | 75 (22.0%) | 89 (23.4%) |
| Z-hypnotics | 5 (23.8%) | 2 (22.2%) | 5 (33.3%) | 58 (17.0%) | 68 (17.9%) |
| Opioids | 2 (9.5%) | 1 (11.1%) | 0% | 16 (4.7%) | 19 (5.0%) |
aSubstances included in each category can be found in Additional file 1. Missing data in 11 patients (2.9%)
bInformation on medications were extracted from medical records from the day of admission. The drugs included in each category can be found in Additional file 1. Missing data in 11 patients (2.9%)