Literature DB >> 33310013

Distribution of agitation and related symptoms among hospitalized patients using a scalable natural language processing method.

Kamber L Hart1, Amelia M Pellegrini2, Brent P Forester3, Sabina Berretta4, Shawn N Murphy5, Roy H Perlis6, Thomas H McCoy7.   

Abstract

BACKGROUND: Agitation is a common feature of many neuropsychiatric disorders.
OBJECTIVE: Understanding the prevalence, implications, and characteristics of agitation among hospitalized populations can facilitate more precise recognition of disability arising from neuropsychiatric diseases.
METHODS: We developed two agitation phenotypes using an expansion of expert curated term lists. These phenotypes were used to characterize five years of psychiatric admissions. The relationship of agitation symptoms and length of stay was examined.
RESULTS: Among 4548 psychiatric admissions, 1134 (24.9%) included documentation of agitation based on the primary agitation phenotype. These symptoms were greater among individuals with public insurance, and those with mania and psychosis compared to major depressive disorder. Greater symptoms were associated with longer hospital stay, with ~0.9 day increase in stay for every 10% increase in agitation phenotype.
CONCLUSION: Agitation was common at hospital admission and associated with diagnosis and longer length of stay. Characterizing agitation-related symptoms through natural language processing may provide new tools for understanding agitated behaviors and their relationship to delirium.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Data mining; Electronic health records; Machine learning; Natural language processing; Psychomotor agitation

Mesh:

Year:  2020        PMID: 33310013      PMCID: PMC7855889          DOI: 10.1016/j.genhosppsych.2020.11.003

Source DB:  PubMed          Journal:  Gen Hosp Psychiatry        ISSN: 0163-8343            Impact factor:   3.238


  53 in total

1.  The Scree Test For The Number Of Factors.

Authors:  R B Cattell
Journal:  Multivariate Behav Res       Date:  1966-04-01       Impact factor: 5.923

2.  Genome-wide Association Study of Dimensional Psychopathology Using Electronic Health Records.

Authors:  Thomas H McCoy; Victor M Castro; Kamber L Hart; Amelia M Pellegrini; Sheng Yu; Tianxi Cai; Roy H Perlis
Journal:  Biol Psychiatry       Date:  2018-02-26       Impact factor: 13.382

3.  Stratifying risk for dementia onset using large-scale electronic health record data: A retrospective cohort study.

Authors:  Thomas H McCoy; Larry Han; Amelia M Pellegrini; Rudolph E Tanzi; Sabina Berretta; Roy H Perlis
Journal:  Alzheimers Dement       Date:  2020-01-16       Impact factor: 21.566

4.  Association between DSM-5 and ICD-11 personality dimensional traits in a general medical cohort and readmission and mortality.

Authors:  Sergio A Barroilhet; Alexandra E Bieling; Thomas H McCoy; Roy H Perlis
Journal:  Gen Hosp Psychiatry       Date:  2020-01-27       Impact factor: 3.238

5.  A new data-based motor subtype schema for delirium.

Authors:  David Meagher; Maria Moran; Bangaru Raju; Maeve Leonard; Sinead Donnelly; Jean Saunders; Paula Trzepacz
Journal:  J Neuropsychiatry Clin Neurosci       Date:  2008       Impact factor: 2.198

6.  The incidence of mental and behavioral disturbances in dementia: the cache county study.

Authors:  Martin Steinberg; Jeannie-Marie Sheppard; JoAnn T Tschanz; Maria C Norton; David C Steffens; John C S Breitner; Constantine G Lyketsos
Journal:  J Neuropsychiatry Clin Neurosci       Date:  2003       Impact factor: 2.198

7.  Psychomotor agitation in subjects hospitalized for an acute exacerbation of Schizophrenia.

Authors:  Emilio Sacchetti; Paolo Valsecchi; Elena Tamussi; Laura Paulli; Raffaele Morigi; Antonio Vita
Journal:  Psychiatry Res       Date:  2018-09-26       Impact factor: 3.222

8.  Agitation in the ICU: part one Anatomical and physiologic basis for the agitated state.

Authors: 
Journal:  Crit Care       Date:  1999       Impact factor: 9.097

9.  State of Acute Agitation at Psychiatric Emergencies in Europe: The STAGE Study.

Authors:  Luis San; Josef Marksteiner; Peter Zwanzger; María Aragüés Figuero; Francisco Toledo Romero; Grigorios Kyropoulos; Alberto Bessa Peixoto; Roxana Chirita; Anca Boldeanu
Journal:  Clin Pract Epidemiol Ment Health       Date:  2016-10-27

10.  Improving Prediction of Suicide and Accidental Death After Discharge From General Hospitals With Natural Language Processing.

Authors:  Thomas H McCoy; Victor M Castro; Ashlee M Roberson; Leslie A Snapper; Roy H Perlis
Journal:  JAMA Psychiatry       Date:  2016-10-01       Impact factor: 21.596

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  1 in total

1.  Psychosis Relapse Prediction Leveraging Electronic Health Records Data and Natural Language Processing Enrichment Methods.

Authors:  Dong Yun Lee; Chungsoo Kim; Seongwon Lee; Sang Joon Son; Sun-Mi Cho; Yong Hyuk Cho; Jaegyun Lim; Rae Woong Park
Journal:  Front Psychiatry       Date:  2022-04-05       Impact factor: 5.435

  1 in total

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