Literature DB >> 25752688

Predicting postoperative delirium after vascular surgical procedures.

Linda Visser1, Anna Prent1, Maarten J van der Laan1, Barbara L van Leeuwen2, Gerbrand J Izaks3, Clark J Zeebregts1, Robert A Pol4.   

Abstract

OBJECTIVE: The objective of this study was to determine the incidence of and specific preoperative and intraoperative risk factors for postoperative delirium (POD) in electively treated vascular surgery patients.
METHODS: Between March 2010 and November 2013, all vascular surgery patients were included in a prospective database. Various preoperative, intraoperative, and postoperative risk factors were collected during hospitalization. The primary outcome variable was the incidence of POD. Secondary outcome variables were any surgical complication, hospital length of stay, and mortality.
RESULTS: In total, 566 patients were prospectively evaluated; 463 patients were 60 years or older at the time of surgery and formed our study cohort. The median age was 72 years (interquartile range, 66-77), and 76.9% were male. Twenty-two patients (4.8%) developed POD. Factors that differed significantly by univariate analysis included current smoking (P = .001), increased comorbidity (P = .001), hypertension (P = .003), diabetes mellitus (P = .001), cognitive impairment (P < .001), open aortic surgery or amputation surgery (P < .001), elevated C-reactive protein level (P < .001), and blood loss (P < .001). Multivariate logistic regression analysis revealed preoperative cognitive impairment (odds ratio [OR], 16.4; 95% confidence interval [CI], 4.7-57.0), open aortic surgery or amputation surgery (OR, 14.0; 95% CI, 3.9-49.8), current smoking (OR, 10.5; 95% CI, 2.8-40.2), hypertension (OR, 7.6; 95% CI, 1.9-30.5) and age ≥80 years (OR, 7.3; 95% CI, 1.8-30.1) to be independent predictors of the occurrence of POD. The combination of these parameters allows us to predict delirium with a sensitivity of 86% and a specificity of 92%. The area under the curve of the corresponding receiver operating characteristics was 0.93. Delirium was associated with longer hospital length of stay (P < .001), more frequent and increased intensive care unit stays (P = .008 and P = .003, respectively), more surgical complications (P < .001), more postdischarge institutionalization (P < .001), and higher 1-year mortality rates (P = .0026).
CONCLUSIONS: In vascular surgery patients, preoperative cognitive impairment and open aortic or amputation surgery were highly significant risk factors for the occurrence of POD. In addition, POD was significantly associated with a higher mortality and more institutionalization. Patients with these risk factors should be considered for high-standard delirium care to improve these outcomes.
Copyright © 2015 Society for Vascular Surgery. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2015        PMID: 25752688     DOI: 10.1016/j.jvs.2015.01.041

Source DB:  PubMed          Journal:  J Vasc Surg        ISSN: 0741-5214            Impact factor:   4.268


  17 in total

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2.  [Path Analysis for Delirium on Patient Prognosis in Intensive Care Units].

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Journal:  J Korean Acad Nurs       Date:  2019-12       Impact factor: 0.984

Review 3.  A systematic review of postoperative cognitive decline following open and endovascular aortic aneurysm surgery.

Authors:  R A Benson; B A Ozdemir; D Matthews; I M Loftus
Journal:  Ann R Coll Surg Engl       Date:  2016-11-04       Impact factor: 1.891

4.  Preoperative Predictors of 30-Day Mortality and Prolonged Length of Stay after Above-Knee Amputation.

Authors:  Eric S Wise; William G McMaster; Kelly Williamson; Justine E Wergin; Kyle M Hocking; Colleen M Brophy
Journal:  Ann Vasc Surg       Date:  2015-11-23       Impact factor: 1.466

5.  Preoperative discussion with patients about delirium risk: are we doing enough?

Authors:  Judith H Tomlinson; Judith S L Partridge
Journal:  Perioper Med (Lond)       Date:  2016-09-01

6.  Postoperative delirium in elderly patients with critical limb ischemia undergoing major leg amputation: a retrospective study.

Authors:  Young-Hee Shin; Jin Sun Yoon; Hee Jung Jeon; Youngbae B Kim; Young Soo Kim; Ju Young Park
Journal:  Korean J Anesthesiol       Date:  2018-04-24

7.  Postoperative delirium in critically ill surgical patients: incidence, risk factors, and predictive scores.

Authors:  Onuma Chaiwat; Mellada Chanidnuan; Worapat Pancharoen; Kittiya Vijitmala; Praniti Danpornprasert; Puriwat Toadithep; Chayanan Thanakiattiwibun
Journal:  BMC Anesthesiol       Date:  2019-03-20       Impact factor: 2.217

8.  Association between ankle brachial index and development of postoperative intensive care unit delirium in patients with peripheral arterial disease.

Authors:  Jihee Kang; Ji Hyun An; Hong Jin Jeon; Yang Jin Park
Journal:  Sci Rep       Date:  2021-06-17       Impact factor: 4.379

9.  Patient-Reported Outcome Measures (PROM) as A Preoperative Assessment Tool.

Authors:  Sunghye Kim; Pamela W Duncan; Leanne Groban; Hannah Segal; Rica Moonyeen Abbott; Jeff D Williamson
Journal:  J Anesth Perioper Med       Date:  2017-11-02

10.  Identifying Older Adults at Risk of Delirium Following Elective Surgery: A Systematic Review and Meta-Analysis.

Authors:  Jennifer Watt; Andrea C Tricco; Catherine Talbot-Hamon; Ba' Pham; Patricia Rios; Agnes Grudniewicz; Camilla Wong; Douglas Sinclair; Sharon E Straus
Journal:  J Gen Intern Med       Date:  2018-01-26       Impact factor: 5.128

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