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Condition: Stroke
Management: Electronic Health Records (EHR)

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Total 477 results found since Jan 2013.

Using electronic health records to develop and validate a machine-learning tool to predict type 2 diabetes outcomes: a study protocol
Introduction Type 2 diabetes mellitus (T2DM) is a major cause of blindness, kidney failure, myocardial infarction, stroke and lower limb amputation. We are still unable, however, to accurately predict or identify which patients are at a higher risk of deterioration. Most risk stratification tools do not account for novel factors such as sociodemographic determinants, self-management ability or access to healthcare. Additionally, most tools are based in clinical trials, with limited external generalisability. Objective The aim of this work is to design and validate a machine learning-based tool to identify patients with T2...
Source: BMJ Open - July 30, 2021 Category: General Medicine Authors: Neves, A. L., Pereira Rodrigues, P., Mulla, A., Glampson, B., Willis, T., Darzi, A., Mayer, E. Tags: Open access, Health informatics Source Type: research

Children with perinatal stroke are at increased risk for autism spectrum disorder: Prevalence and co-occurring conditions within a clinically followed sample
DISCUSSION: Children with perinatal stroke have an increased prevalence of ASD (11.4%) than in the general population. ASD concerns arise at a similar age as the general population, yet ASD is diagnosed almost two years later than the general population and 3.60 years after first concerns present. Co-occurring neurological conditions are common. Clinicians must be aware of increased prevalence and implement screening as part of routine care for all pediatric patients with perinatal stroke.PMID:34308766 | DOI:10.1080/13854046.2021.1955150
Source: The Clinical Neuropsychologist - July 26, 2021 Category: Psychiatry & Psychology Authors: Taralee Hamner Evelyn Shih Rebecca Ichord Lauren Krivitzky Source Type: research

P-043 Elevated D-dimer levels predicts mortality in COVID-19 with stroke: analysis of multi-center electronic health record data
ConclusionsPeak D-dimer levels above 5.15 µg/ml feu are associated with increased mortality in COVID-19 patients with AIS.Disclosures Y. Kim: None. S. Khose: None. R. Abdelkhaleq: None. S. Salazar-Marioni: None. S. Sheth: None.
Source: Journal of NeuroInterventional Surgery - July 26, 2021 Category: Neurosurgery Authors: Kim, Y., Khose, S., Abdelkhaleq, R., Salazar-Marioni, S., Sheth, S. Tags: Oral poster abstracts Source Type: research

Appropriateness of inpatient dosing of direct oral anticoagulants for atrial fibrillation
The objective was to determine the rates of inappropriate inpatient DOAC dosing in AF and identifying its associated underlying factors. We conducted a retrospective cross-sectional study from December 2013 to November 2019 across six South Australian public hospitals utilising a centralised electronic health record. Multivariate analysis was used to identify factors associated with underdosing of patients prescribed apixaban. Of 1882 inpatients, 544 (28.9  %) were inappropriately dosed. Underdosing was the most common form of inappropriate dosing with rates of 22.9 % (n = 295), 7.1 % (n = 7), and 25.1 % (n...
Source: Journal of Thrombosis and Thrombolysis - July 24, 2021 Category: Hematology Source Type: research

Validation of an electronic trigger to measure missed diagnosis of stroke in emergency departments
ConclusionIn a large national EHR repository, a symptom –disease pair-based e-trigger identified missed diagnoses of stroke with a modest positive predictive value, underscoring the need for chart review validation procedures to identify diagnostic errors in large data sets.
Source: Journal of the American Medical Informatics Association - July 19, 2021 Category: Information Technology Source Type: research

Predicting In-hospital Mortality Using D-Dimer in COVID-19 Patients With Acute Ischemic Stroke
Conclusions: COVID-19 patients with AIS present with greater D-dimer levels. Thresholds for outcomes prognostication should be higher in this population.
Source: Frontiers in Neurology - July 16, 2021 Category: Neurology Source Type: research

Prediction of 30-Day Readmission After Stroke Using Machine Learning and Natural Language Processing
Conclusion: NLP-enhanced machine learning models potentially advance our ability to predict readmission after stroke. However, further improvement is necessary before being implemented in clinical practice given the weak discrimination.
Source: Frontiers in Neurology - July 13, 2021 Category: Neurology Source Type: research

Electronic Medical Record Risk Modeling of Cardiovascular Outcomes Among Patients with Type 2 Diabetes
ConclusionsThe Ochsner model overestimated 5-year CHD risk, but had relatively higher calibration than the other models in CHD. Risk equations fitted for local populations improved cardiovascular risk stratification for patients with T2DM. Application of machine learning simplified the models compared to “generalized” risk equations.
Source: Diabetes Therapy - June 18, 2021 Category: Endocrinology Source Type: research

Are Digital Health Services the Key to Bridging the Gap in Medication Adherence and Optimisation?
Strong adherence to medications for the secondary prevention of cardiovascular disease (CVD), (e.g., lipid-lowering therapy, antihypertensives, antiplatelets), can reduce the risk of adverse cardiovascular events such as myocardial infarction and stroke [1]. Yet, poor adherence rates to therapies of about 50% are common among patients with chronic diseases [2]. There are various reasons for this large gap which include poor patient health literacy and incomplete/out-dated medication lists in electronic health records.
Source: Heart, Lung and Circulation - May 5, 2021 Category: Cardiology Authors: Harry Klimis, Clara K. Chow Tags: Editorial Source Type: research

COVID ‐19 Outcomes in Patients With Systemic Autoimmune Rheumatic Diseases Compared to the General Population: A US Multicenter, Comparative Cohort Study
ConclusionOur findings indicate that COVID ‐19 patients with systemic ARDs may be at a higher risk of hospitalization, ICU admission, acute renal failure, and venous thromboembolism when compared to COVID‐19 patients without systemic ARDs. These risks may be largely mediated by comorbidities, except for the risk of venous thromboembolism .
Source: Arthritis and Rheumatology - May 1, 2021 Category: Rheumatology Authors: Kristin M. D ’Silva, April Jorge, Andrew Cohen, Natalie McCormick, Yuqing Zhang, Zachary S. Wallace, Hyon K. Choi Tags: Brief Report Source Type: research

IJERPH, Vol. 18, Pages 4054: Gender Inequalities in Diagnostic Inertia around the Three Most Prevalent Cardiovascular Risk Studies: Protocol for a Population-Based Cohort Study
This study will assess the gender-related differences in diagnostic inertia around the three most prevalent cardiovascular risk factors: dyslipidemia, arterial hypertension, and diabetes mellitus, and to evaluate the consequences on cardiovascular disease incidence. This is an epidemiological and cohort study. Eligible patients will be adults who presented to public primary health care centers in a Spanish region from 2008 to 2011, with hypertension, dyslipidemia, or/and diabetes and without cardiovascular disease. Participants’ electronic health records will be used to collect the study variables in a window of six mont...
Source: International Journal of Environmental Research and Public Health - April 12, 2021 Category: Environmental Health Authors: Carratala-Munuera Lopez-Pineda Orozco-Beltran Quesada Alfonso-Sanchez Pallar és-Carratalá Soriano-Maldonado Navarro-Perez Gil-Guillen Martin-Moreno Tags: Study Protocol Source Type: research

One-Third of COVID-19 Survivors May Develop a Neuropsychiatric Disorder Within Months of Infection
One-third of individuals diagnosed with COVID-19 developed a psychiatric or neurological problem within six months of their diagnosis, according to astudy published Tuesday inThe Lancet Psychiatry. The prevalence of a post-COVID neurologic or psychiatric diagnosis was even greater among individuals with severe illness who had required hospitalization.“Given the size of the pandemic and the chronicity of many of the diagnoses and their consequences (for example, dementia, stroke, and intracranial hemorrhage), substantial effects on health and social care systems are likely to occur,” wrote Maxime Taque, Ph.D., of the Un...
Source: Psychiatr News - April 7, 2021 Category: Psychiatry Tags: anxiety COVID-19 electronic health records hospitalizations mood disorders neuropsychiatric disorders The Lancet Psychiatry Source Type: research

Machine Learning-Enabled 30-Day Readmission Model for Stroke Patients
Conclusions: Machine learning-based models can be designed to predict 30-day readmission after stroke using structured data from EHR. Among the algorithms analyzed, XGBoost with ROSE-sampling had the best performance in terms of AUC while LR with ROSE-sampling and feature selection had the best sensitivity. Clinical variables highly associated with 30-day readmission could be targeted for personalized interventions. Depending on healthcare systems' resources and criteria, models with optimized performance metrics can be implemented to improve outcomes.
Source: Frontiers in Neurology - March 31, 2021 Category: Neurology Source Type: research

SUPPORT ‐AF III: supporting use of AC through provider prompting about oral anticoagulation therapy for AF
AbstractOnly half of atrial fibrillation (AF) patients with elevated stroke risk receive anticoagulation (AC). Electronic health record (EHR) alerts have the potential to close the gap. We designed an outpatient EHR alert (linked to an order set for ordering AC, labs, and specialty referrals) that fired when cardiology and primary care providers (PCPs) saw AF patients not on AC. We assigned all untreated patients seen by cardiology providers and PCPs in the 8  months before and after the alert launch to pre- and post-launch intervention cohorts, respectively. Untreated AF patients seeing other types of providers became co...
Source: Journal of Thrombosis and Thrombolysis - March 10, 2021 Category: Hematology Source Type: research