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Application of Machine Learning Techniques to Identify Data Reliability and Factors Affecting Outcome After Stroke Using Electronic Administrative Records
Conclusion: Electronic administrative records from this cohort produced reliable outcome prediction and identified clinically appropriate factors negatively impacting most outcome variables following hospital admission with stroke. This presents a means of future identification of modifiable factors associated with patient discharge destination. This may potentially aid in patient selection for certain interventions and aid in better patient and clinician education regarding expected discharge outcomes.
Source: Frontiers in Neurology - September 27, 2021 Category: Neurology Source Type: research

More Research Is Needed on Lifestyle Behaviors That Influence Progression of Parkinson's Disease
This article highlights some of these challenges in the design of lifestyle studies in PD, and suggests a more coordinated international effort is required, including ongoing longitudinal observational studies. In combination with pharmaceutical treatments, healthy lifestyle behaviors may slow the progression of PD, empower patients, and reduce disease burden. For optimal care of people with PD, it is important to close this gap in current knowledge and discover whether such associations exist. Introduction Parkinson's disease (PD) is an age-related complex progressive neurodegenerative disorder, with key p...
Source: Frontiers in Neurology - April 29, 2019 Category: Neurology Source Type: research

Comprehensive comparative effectiveness and safety of first-line antihypertensive drug classes: a systematic, multinational, large-scale analysis
Publication date: Available online 24 October 2019Source: The LancetAuthor(s): Marc A Suchard, Martijn J Schuemie, Harlan M Krumholz, Seng Chan You, RuiJun Chen, Nicole Pratt, Christian G Reich, Jon Duke, David Madigan, George Hripcsak, Patrick B RyanSummaryBackgroundUncertainty remains about the optimal monotherapy for hypertension, with current guidelines recommending any primary agent among the first-line drug classes thiazide or thiazide-like diuretics, angiotensin-converting enzyme inhibitors, angiotensin receptor blockers, dihydropyridine calcium channel blockers, and non-dihydropyridine calcium channel blockers, in ...
Source: The Lancet - October 26, 2019 Category: General Medicine Source Type: research

Intermountain chronic disease risk score (ICHRON) validation for prediction of incident chronic disease diagnoses in an australian primary prevention population.
CONCLUSION: ICHRON predicted ChrD diagnosis at 3-years among an external, geographically distant validation cohort. These findings show the value of ICHRON for primary care patients in distinct locales. Additionally, electronic calculation of ICHRON empowers the clinical use of this tool to identify and differentially manage and treat high-risk patients. PMID: 32563688 [PubMed - as supplied by publisher]
Source: European Journal of Internal Medicine - June 16, 2020 Category: Internal Medicine Authors: May HT, Anderson JL, Muhlestein JB, Knowlton KU, Horne BD Tags: Eur J Intern Med 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

COVID-19 Can Increase Risk of Psychiatric Disorders for Up to Two Years
The increased risk of depression and anxiety that patients experience after developing COVID-19 typically subsides within two months, according to astudy published yesterday inThe Lancet Psychiatry. However, patients may have an elevated risk for developing other psychiatric and neurological conditions, such as psychosis, brain fog, and seizures, for up to two years after their infections.“The results have important implications for patients and health services as it suggests new cases of neurological conditions linked to COVID-19 infection are likely to occur for a considerable time after the pandemic has subsided,” s...
Source: Psychiatr News - August 18, 2022 Category: Psychiatry Tags: adults anxiety brain fog children COVID-19 delta dementia depression older adults omicron psychotic disorder seizures The Lancet Psychiatry Source Type: research