Literature DB >> 28010903

Disease and pharmacologic risk factors for first and subsequent episodes of equine laminitis: A cohort study of free-text electronic medical records.

Claire E Welsh1, Marco Duz2, Timothy D H Parkin3, John F Marshall3.   

Abstract

Electronic medical records from first opinion equine veterinary practice may represent a unique resource for epidemiologic research. The appropriateness of this resource for risk factor analyses was explored as part of an investigation into clinical and pharmacologic risk factors for laminitis. Amalgamated medical records from seven UK practices were subjected to text mining to identify laminitis episodes, systemic or intra-synovial corticosteroid prescription, diseases known to affect laminitis risk and clinical signs or syndromes likely to lead to corticosteroid use. Cox proportional hazard models and Prentice, Williams, Peterson models for repeated events were used to estimate associations with time to first, or subsequent laminitis episodes, respectively. Over seventy percent of horses that were diagnosed with laminitis suffered at least one recurrence. Risk factors for first and subsequent laminitis episodes were found to vary. Corticosteroid use (prednisolone only) was only significantly associated with subsequent, and not initial laminitis episodes. Electronic medical record use for such analyses is plausible and offers important advantages over more traditional data sources. It does, however, pose challenges and limitations that must be taken into account, and requires a conceptual change to disease diagnosis which should be considered carefully.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Corticosteroid; Horse; Laminitis; Survival

Mesh:

Substances:

Year:  2016        PMID: 28010903     DOI: 10.1016/j.prevetmed.2016.11.012

Source DB:  PubMed          Journal:  Prev Vet Med        ISSN: 0167-5877            Impact factor:   2.670


  3 in total

1.  Incidence and risk factors for recurrence of endocrinopathic laminitis in horses.

Authors:  Melody A de Laat; Dania B Reiche; Martin N Sillence; James M McGree
Journal:  J Vet Intern Med       Date:  2019-04-10       Impact factor: 3.333

2.  Modelling of oscillatory cortisol response in horses using a Bayesian population approach for evaluation of dexamethasone suppression test protocols.

Authors:  Felix Held; Carl Ekstrand; Marija Cvijovic; Johan Gabrielsson; Mats Jirstrand
Journal:  J Pharmacokinet Pharmacodyn       Date:  2019-01-23       Impact factor: 2.745

3.  Predicting COVID-19 Symptoms From Free Text in Medical Records Using Artificial Intelligence: Feasibility Study.

Authors:  Josefien Van Olmen; Jens Van Nooten; Hilde Philips; Annet Sollie; Walter Daelemans
Journal:  JMIR Med Inform       Date:  2022-04-27
  3 in total

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