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Analysis of the aetiology of epilepsy in 3,216 adult patients attending a tertiary referral center enabled by an electronic patient record.

ABSTRACT: PURPOSE:The aim of this study was to review the causes of the epilepsies in our institution, an adult tertiary referral center for neurology and neurosurgery in Dublin, Ireland. Data was obtained from a bespoke epilepsy electronic patient record (EPR). METHODS:Predetermined search parameters of well-established broad categories of epilepsy aetiology were used to identify patients with a diagnosis of epilepsy attending Beaumont Hospital, Dublin. There were 3216 patients that met the inclusion criteria for this study. We included living patients with epilepsy attending our institution. We then excluded patients with a diagnosis of pure non-epileptic attack disorder and patients found to have idiopathic generalised epilepsy (IGE) (n = 382) from our final cohort. We excluded IGE due to the complex polygenic basis underlying this patient group. RESULTS:An aetiology was identified in 54.3 % (n = 1747) of the total number of patients studied. Of the symptomatic epilepsies, 41.08 % (n = 1321) were acquired and 13.3 % (n = 426) were predominantly of genetic or developmental aetiology. The most common causes of the acquired epilepsies were hippocampal sclerosis (n = 380; 28.75 %), cerebral tumor (n = 279; 21.06 %), traumatic brain injury (n = 248; 18.77 %), stroke and cerebrovascular disease (n = 151; 11.43 %) and perinatal causes (n = 138; 10.45 %). The leading causes in the genetic / developmental category included cavernous haemangiomas (n = 62, 22.22 %), arteriovenous malformations (n = 59; 21.15 %) and cortical dysplasia (n = 55; 19.71 %). The aetiology of a patient's epilepsy was undetermined in 45.68 % (n = 1469) of individuals. CONCLUSION:This study emphasizes the clinical utility of the ILAE's 2017 revised classification of the epilepsies and highlights the evolving dynamic nature of attributing causality in epilepsy. This is the largest single centre analysis of the aetiology of the epilepsies described in the literature. It is also the first large scale study examining aetiology utilising a bespoke electronic patient record in epilepsy.

SUBMITTER: Delaney S

PROVIDER: S-EPMC7442552 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature

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Analysis of the aetiology of epilepsy in 3,216 adult patients attending a tertiary referral center enabled by an electronic patient record.

Delaney S S Fitzsimons M M White M M Power K K O' Donoghue S S Kilbride R R Widdess-Walsh P P El Naggar H H Delanty N N

Seizure 20200822

<h4>Purpose</h4>The aim of this study was to review the causes of the epilepsies in our institution, an adult tertiary referral center for neurology and neurosurgery in Dublin, Ireland. Data was obtained from a bespoke epilepsy electronic patient record (EPR).<h4>Methods</h4>Predetermined search parameters of well-established broad categories of epilepsy aetiology were used to identify patients with a diagnosis of epilepsy attending Beaumont Hospital, Dublin. There were 3216 patients that met th ...[more]

PMID: 32883563

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Project description:BackgroundThe diagnosis of non-malarial aetiologies, which now represent the majority of febrile illnesses, has remained problematic in settings with limited laboratory capacity. We aimed to describe common aetiologies of acute febrile illness among children in a setting where malaria transmission has declined.MethodsA prospective cross-sectional study was conducted among children aged at least 2 months and under 13 years presenting with fever (temperature of ≥37.5 °C or a history of fever in the past 48 h) to Hawassa Comprehensive Specialized Hospital, southern Ethiopia, from May 2018 through February 2019. Clinical and demographic data were gathered for consecutive participants, and malaria microscopy, HIV testing, and blood and urine cultures were performed regardless of clinical presentation. Additionally, stool analyses (culture and rotavirus/adenovirus RDT) and throat swab for group A Streptococcus (GAS) and urine Streptococcus pneumoniae were performed by RDTs for children with specific conditions. The antimicrobial susceptibility of bacterial isolates was determined using disc diffusion method.ResultsDuring the study period 433 children were recruited, median age 20 months (range, 2 months - 12 years) and 178 (41.1%) female. Malaria was diagnosed in 14 (3.2%) of 431 children, and 3 (0.7%) had HIV infection. Bacteraemia or fungaemia was detected in 27 (6.4%) of 421 blood cultures, with Staphylococcus aureus isolated in 16 (3.8%). Urinary tract infections (UTIs) were detected in 74 (18.4%) of 402, with Escherichia coli isolated in 37 (9.2%). Among 56 children whose stool specimens were tested, 14 (25%) were positive for rotavirus, 1 (1.8%) for Salmonella Paratyphi A, and 1 (1.8%) for Shigella dysenteriae. Among those with respiratory symptoms, a throat swab test for GAS and urine test for S. pneumoniae were positive in 28 (15.8%) of 177 and 31 (17.0%) of 182, respectively. No test was positive for a pathogen in 266 (61.4%) of 433 participants. Bacterial isolates were frequently resistant to ampicillin, trimethoprim-sulfamethoxazole, tetracycline, and amoxicillin and clavulanic acid.ConclusionOur results showed low proportions of malaria and bacteraemia among febrile children. In contrast, the frequent detection of UTI emphasize the need to support enhanced diagnostic capacity to ensure appropriate antimicrobial intervention.

Project description:BackgroundGlobally, epilepsy is the commonest neurological disorder in adults. It has significant health and economic consequences to the affected individuals and the family. There is ample evidence that epileptic patients are at increased risk of poor sleep quality than the general population. However, there is limited evidence on sleep quality among epileptic patients and associated factors in Ethiopia. Therefore, this study investigated the prevalence of poor sleep quality and associated factors among adult patients with epilepsy.MethodInstitutional based cross-sectional study was conducted among adult epileptic patients attending follow-up care at referral hospitals in the Amhara region. A total of 575 epileptic patients were recruited using a stratified systematic random sampling technique. An interviewer-administered semi-structured questionnaire and record review were used for data collection. To assess sleep quality the pretested Pittsburgh Sleep Quality Index (PSQI) tool was used. A binary logistic regression model was used to assess factors associated with poor sleep quality. Variables with a p-value less than 0.2 in the bivariable binary logistic regression analysis were considered for the multivariable binary logistic regression analysis. In the multivariable binary logistic regression analysis, the Adjusted Odds Ratio (AOR) with the 95% Confidence Interval (CI) were reported to declare the statistical significance and strength of association. Model fitness was assessed using the Hosmer-Lemeshow test and was adequate (p>0.05). Multicollinearity of the independent variables was assessed using the Variance Inflation Factor (VIF) and the mean VIF was less than 10.ResultsA total of 565 participants were enrolled in the study with a response rate of 98.3%. The prevalence of poor sleep quality among adult epileptic patients was 68.8% [95% CI: 64.8%, 72.5%]. In the multivariable binary logistic regression, being unable to read and write [AOR = 3.16, 95%CI: 1.53, 6.51], taking polytherapy treatment [AOR = 2.10, 95% CI: 1.37, 3.21], poor medication adherence [AOR = 2.53, 95%CI: 1.02, 6.23] and having poor support [AOR = 2.72, 95%CI: 1.53, 4.82] and moderate social support [AOR = 1.89, 95%CI: 1.05, 3.41] were significantly associated with higher odds of poor sleep quality.Conclusion and recommendationPoor sleep quality is a major public health concern in Ethiopia. The patient's level of education, number of medication use, medication adherence, and social support were found significant predictors of poor sleep quality. These findings highlight improving medication adherence and social support are effective strategies to improve the sleep quality of epileptic patients. Besides, it is better to give special emphasis to those epileptic patients with a low level of education and taking polytherapy to enhance sleep quality.

Project description:Champlain BASE™ (Building Access to Specialists through eConsultation) is a web-based asynchronous electronic communication service that allows primary-care- practitioners (PCPs) to submit "elective" clinical questions to a specialist. For adults, PCPs have reported improved access and timeliness to specialist advice, averted face-to-face specialist referrals in up to 40% of cases and high provider satisfaction.To determine whether the expansion of eConsult to a pediatric setting would result in similar measures of improved healthcare system process and high provider acceptance reported in adults.Prospective observational cohort study.Single Canadian tertiary-care academic pediatric hospital (June 2014-16) servicing 1.2 million people.1. PCPs already using eConsult. 2.Volunteer pediatric specialists provided services in addition to their regular workload. 3.Pediatric patients (< 18 years-old) referred for none-acute care conditions.Specialty service utilization and access, impact on PCP course-of-action and referral-patterns and survey-based provider satisfaction data were collected.1064 eConsult requests from 367 PCPs were answered by 23 pediatric specialists representing 14 specialty-services. The top three specialties represented were: General Pediatrics 393 cases (36.9%), Orthopedics 162 (15.2%) and Psychiatry 123 (11.6%). Median specialist response time was 0.9 days (range <1 hour-27 days), most consults (63.2%) required <10minutes to complete and 21/21(100%) specialist survey-respondents reported minimal workload burden. For 515/1064(48.4%) referrals, PCPs received advice for a new or additional course of action; 391/1064(36.7%) referrals resulted in an averted face-to-face specialist visit. In 9 specialties with complete data, the median wait-time was significantly less (p<0.001) for an eConsult (1 day, 95%CI:0.9-1.2) compared with a face-to-face referral (132 days; 95%CI:127-136). The majority (>93.3%) of PCPs rated eConsult as very good/excellent value for both patients and themselves. All specialist survey-respondents indicated eConsult should be a continued service.Similar to adults, eConsult improves PCP access and timeliness to elective pediatric specialist advice and influences their care decisions, while reporting high end-user satisfaction. Further study is warranted to assess impact on resource utilization and clinical outcomes.

Project description:INTRODUCTION:Smoking remains a major public health issue and a leading cause of death and disability in the United States. The objective of this study was to determine the effect of a simple intervention on smoking guidance, based on the electronic medical record (EMR), including providing discharge instructions and/or cessation counseling to emergency department (ED) patients who smoke. METHODS:This was an interventional before-and-after study in an ED with 70000 visits per year. A pre-intervention and post-intervention chart review was performed on a random sample of ED visits occurring in 2014 and 2016, identifying smokers and the frequency with which smokers received discharge instructions and/or cessation counseling. In the fall of 2015, our EMR was programmed to deploy smoking cessation discharge instructions automatically. RESULTS:In all, 28.7% (172/600; 95% CI: 25.2-32.4%) reported current smoking in the pre-intervention ED population and 27.6% (166/600; 95% CI: 24.2-31.4%) reported smoking in the post-intervention population. Smoking cessation guidance was provided to a total of 3.5% of self-reported smokers in the pre-intervention group (6/172; 95% CI: 1.4-7.6%); 1.2% (2/172; 95% CI: 0.3-4.1%) were informed of smoking cessation resources as part of their printed ED discharge instructions and 2.3% (4/172; 95% CI: 0.9-5.8%) received smoking cessation counseling by the ED provider. There was a statistically significant increase in the proportion of patients receiving any smoking cessation guidance after the intervention. All patients (166/166; 95% CI: 97-100% in this period received ED discharge instructions and a list of smoking cessation resources and 3.6% of smokers (6/166; 95% CI: 1.7-7.7%) received smoking cessation counseling by the ED provider. CONCLUSIONS:Automated deployment of smoking cessation discharge instructions in the EMR improves smoking cessation discharge instructions, and also has a positive impact on improving rates of in-person counseling by ED providers.

Dataset Information

Analysis of the aetiology of epilepsy in 3,216 adult patients attending a tertiary referral center enabled by an electronic patient record.

Publications

Analysis of the aetiology of epilepsy in 3,216 adult patients attending a tertiary referral center enabled by an electronic patient record.

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