Literature DB >> 27650453

A Simple Tool to Predict Development of Delirium After Elective Surgery.

Andy Dworkin1, David S H Lee2, Amber R An3, Sarah J Goodlin3.   

Abstract

OBJECTIVES: To identify a quick clinical tool to assess the risk of delirium after elective surgery.
DESIGN: Prospective observational study.
SETTING: Preoperative assessment clinic at the Veterans Affairs Portland Health Care System. PARTICIPANTS: Community-living veterans aged 65 and older scheduled for elective surgery requiring general or major anesthesia. MEASUREMENTS: Confusion Assessment Method (CAM) or Family Confusion Assessment Method (FAM-CAM). Data on education, medications, substance use, Patient Health Questionnaire (PHQ-9), Study of Osteoporotic Fractures Frailty, Mini-Cog, and Charlson-Deyo score were collected preoperatively.
RESULTS: Of 114 veterans who agreed to participate, 76 completed the final delirium assessment. Ten of the 76 (13%) developed delirium in the 72 hours after surgery as assessed using the CAM or FAM-CAM. In bivariate analysis, factors that increased the odds of delirium at least three times were low education; poor PHQ-9, clock draw, word recall, Mini-Cog, and poor preoperative orientation scores; alcohol use; and higher comorbidities as measured using Charlson-Deyo index. Scoring the Mini-Cog from 0 to 5 had a higher predictive power (area under the receiving operating characteristic curve = 0.77) than other approaches to scoring the Mini-Cog. Other models did not significantly improve prediction of postoperative delirium risk and would be complicated to use in a clinical setting.
CONCLUSION: In this sample of veterans who had elective surgery with major anesthesia, Mini-Cog score predicted likelihood of postoperative delirium.
© 2016, Copyright the Authors Journal compilation © 2016, The American Geriatrics Society.

Entities:  

Keywords:  delirium; elderly; postoperative; prediction

Mesh:

Year:  2016        PMID: 27650453     DOI: 10.1111/jgs.14428

Source DB:  PubMed          Journal:  J Am Geriatr Soc        ISSN: 0002-8614            Impact factor:   5.562


  8 in total

Review 1.  Do Risk Prediction Models for Postoperative Delirium Consider Patients' Preoperative Medication Use?

Authors:  Gizat M Kassie; Tuan A Nguyen; Lisa M Kalisch Ellett; Nicole L Pratt; Elizabeth E Roughead
Journal:  Drugs Aging       Date:  2018-03       Impact factor: 3.923

2.  Brief Preoperative Screening for Frailty and Cognitive Impairment Predicts Delirium after Spine Surgery.

Authors:  Maria J Susano; Rachel H Grasfield; Matthew Friese; Bernard Rosner; Gregory Crosby; Angela M Bader; James D Kang; Timothy R Smith; Yi Lu; Michael W Groff; John H Chi; Francine Grodstein; Deborah J Culley
Journal:  Anesthesiology       Date:  2020-12-01       Impact factor: 7.892

3.  Systematic review of prediction models for delirium in the older adult inpatient.

Authors:  Heidi Lindroth; Lisa Bratzke; Suzanne Purvis; Roger Brown; Mark Coburn; Marko Mrkobrada; Matthew T V Chan; Daniel H J Davis; Pratik Pandharipande; Cynthia M Carlsson; Robert D Sanders
Journal:  BMJ Open       Date:  2018-04-28       Impact factor: 2.692

Review 4.  Evidence-Based Guideline on Management of Postoperative Delirium in Older People for Low Resource Setting: Systematic Review Article.

Authors:  Addisu Mossie; Teshome Regasa; Derartu Neme; Zemedu Awoke; Abebayehu Zemedkun; Seyoum Hailu
Journal:  Int J Gen Med       Date:  2022-04-14

5.  The association between preoperative Mini-Cog© score and postoperative delirium (POD): a retrospective cohort study.

Authors:  S Fiamanya; S Ma; D R A Yates
Journal:  Perioper Med (Lond)       Date:  2022-04-21

6.  Best Practices for Postoperative Brain Health: Recommendations From the Fifth International Perioperative Neurotoxicity Working Group.

Authors:  Miles Berger; Katie J Schenning; Charles H Brown; Stacie G Deiner; Robert A Whittington; Roderic G Eckenhoff; Martin S Angst; Sinziana Avramescu; Alex Bekker; Marek Brzezinski; Greg Crosby; Deborah J Culley; Maryellen Eckenhoff; Lars I Eriksson; Lis Evered; Jim Ibinson; Richard P Kline; Andy Kofke; Daqing Ma; Joseph P Mathew; Mervyn Maze; Beverley A Orser; Catherine C Price; David A Scott; Brendan Silbert; Diansan Su; Niccolo Terrando; Dian-Shi Wang; Huafeng Wei; Zhoncong Xie; Zhiyi Zuo
Journal:  Anesth Analg       Date:  2018-12       Impact factor: 6.627

7.  Derivation and validation of a novel comorbidity-based delirium risk index to predict postoperative delirium using national administrative healthcare database.

Authors:  Xiaobo Zhong; Jung-Yi Lin; Lihua Li; A M Barrett; Jashvant Poeran; Madhu Mazumdar
Journal:  Health Serv Res       Date:  2020-10-06       Impact factor: 3.734

8.  Post-Operative Cognitive Impairment: A Cognitive Epidemiology Perspective.

Authors:  Insa Feinkohl
Journal:  J Intell       Date:  2022-03-11
  8 in total

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