Literature DB >> 31054753

ACR Appropriateness Criteria® Acute Mental Status Change, Delirium, and New Onset Psychosis.

Michael D Luttrull1, Daniel J Boulter2, Claudia F E Kirsch3, Joseph M Aulino4, Joshua S Broder5, Santanu Chakraborty6, Asim F Choudhri7, Andrew F Ducruet8, A Tuba Kendi9, Ryan K Lee10, David S Liebeskind11, William Mack12, Toshio Moritani13, Robert P Roca14, Lubdha M Shah15, Aseem Sharma16, Robert Y Shih17, Sophia C Symko18, Julie Bykowski19.   

Abstract

Acute changes in mental status represent a broad collection of symptoms used to describe disorders in mentation and level of arousal, including the more narrowly defined diagnoses of delirium and psychosis. A wide range of precipitating factors may be responsible for symptom onset including infection, intoxication, and metabolic disorders. Neurologic causes that may be detected on neuroimaging include stroke, traumatic brain injury, nonconvulsive seizure, central nervous system infection, tumors, hydrocephalus, and inflammatory disorders. Not infrequently, two or more precipitating factors may be found. Neuroimaging with CT or MRI is usually appropriate if the clinical suspicion for an acute neurological cause is high, where the cause of symptoms is not found on initial assessment, and for patients whose symptoms do not respond appropriately to management. There was disagreement regarding the appropriateness of neuroimaging in cases where a suspected, nonneurologic cause is found on initial assessment. Neuroimaging with CT is usually appropriate for patients presenting with delirium, although the yield may be low in the absence of trauma or a focal neurological deficit. Neuroimaging with CT or MRI may be appropriate in the evaluation of new onset psychosis, although the yield may be low in the absence of a neurologic deficit. The American College of Radiology Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision include an extensive analysis of current medical literature from peer reviewed journals and the application of well-established methodologies (RAND/UCLA Appropriateness Method and Grading of Recommendations Assessment, Development, and Evaluation or GRADE) to rate the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where evidence is lacking or equivocal, expert opinion may supplement the available evidence to recommend imaging or treatment.
Copyright © 2019 American College of Radiology. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  AUC; Altered mental status; Appropriate Use Criteria; Appropriateness Criteria; Confusion; Delirium; Neuroimaging; Psychotic disorders

Mesh:

Substances:

Year:  2019        PMID: 31054753     DOI: 10.1016/j.jacr.2019.02.024

Source DB:  PubMed          Journal:  J Am Coll Radiol        ISSN: 1546-1440            Impact factor:   5.532


  4 in total

1.  Clinical analysis and a novel risk predictive nomogram for 155 adult patients with hemophagocytic lymphohistiocytosis.

Authors:  Mengxin Lu; Yanghao Xie; Xiaoxu Guan; Ming Wang; Lin Zhu; Shen Zhang; Qin Ning; Meifang Han
Journal:  Ann Hematol       Date:  2021-05-12       Impact factor: 3.673

2.  Evaluating the Effects of Experiencing Virtual Reality Simulation of Psychosis on Mental Illness Stigma, Empathy, and Knowledge in Medical Students.

Authors:  Majid Zare-Bidaki; Alireza Ehteshampour; Masoud Reisaliakbarighomi; Robabeh Mazinani; Mohammad Reza Khodaie Ardakani; Arash Mirabzadeh; Rosa Alikhani; Mehdi Noroozi; Fereshteh Momeni; Amir Dehghani Samani; Mohammad Mahdi Mehrabi Tavana; Aliakbar Esmaeili; S Bentolhoda Mousavi
Journal:  Front Psychiatry       Date:  2022-05-17       Impact factor: 5.435

3.  Brain Imaging Use and Findings in COVID-19: A Single Academic Center Experience in the Epicenter of Disease in the United States.

Authors:  A Radmanesh; E Raz; E Zan; A Derman; M Kaminetzky
Journal:  AJNR Am J Neuroradiol       Date:  2020-05-28       Impact factor: 3.825

Review 4.  Automated Identification of Multiple Findings on Brain MRI for Improving Scan Acquisition and Interpretation Workflows: A Systematic Review.

Authors:  Kaining Sheng; Cecilie Mørck Offersen; Jon Middleton; Jonathan Frederik Carlsen; Thomas Clement Truelsen; Akshay Pai; Jacob Johansen; Michael Bachmann Nielsen
Journal:  Diagnostics (Basel)       Date:  2022-08-03
  4 in total

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