Literature DB >> 16731137

Detection of postoperative cognitive decline after coronary artery bypass graft surgery is affected by the number of neuropsychological tests in the assessment battery.

Matthew S Lewis1, Paul Maruff, Brendan S Silbert, Lis A Evered, David A Scott.   

Abstract

BACKGROUND: The assessment of postoperative cognitive dysfunction after coronary artery bypass graft surgery is made with the repeated administration of cognitive tests. This classification is vulnerable to error, and it has been suggested that increasing the number of tests in a battery while maintaining constant inclusion criteria for postoperative cognitive dysfunction increases the rate of false positive classification of deterioration. The current study tested this by applying a constant rule for cognitive dysfunction using combinations of two to seven cognitive tests.
METHODS: Two hundred and four coronary artery bypass graft patients (surgical) and 90 healthy nonsurgical controls aged 55 years or older completed a battery of cognitive tests at baseline (preoperative) and 1 week later (postoperative). In both groups, postoperative cognitive dysfunction was classified using all unique combinations of two to seven cognitive tests when performance deteriorated on two or more tests by at least the value of the baseline standard deviation.
RESULTS: The average incidence of cognitive dysfunction progressively increased in both groups as the number of cognitive tests increased from two (surgical: 13.3%; control: 3.1%) to seven tests (surgical: 49.4%; control: 41.1%).
CONCLUSIONS: Increasing the number of tests used to classify postoperative cognitive dysfunction appears to increase the sensitivity to change in the coronary artery bypass graft group. However, accompanying false positive classifications suggest that this improved sensitivity reflected increased error. Future rules for postoperative cognitive dysfunction need to account for this error and include a control group.

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Year:  2006        PMID: 16731137     DOI: 10.1016/j.athoracsur.2006.01.044

Source DB:  PubMed          Journal:  Ann Thorac Surg        ISSN: 0003-4975            Impact factor:   4.330


  7 in total

1.  Hippocampal volume reduction in elderly patients at risk for postoperative cognitive dysfunction.

Authors:  Ming-hua Chen; Yan Liao; Peng-fei Rong; Rong Hu; Guo-xin Lin; Wen Ouyang
Journal:  J Anesth       Date:  2013-01-31       Impact factor: 2.078

Review 2.  Recommendations for the nomenclature of cognitive change associated with anaesthesia and surgery-2018.

Authors:  L Evered; B Silbert; D S Knopman; D A Scott; S T DeKosky; L S Rasmussen; E S Oh; G Crosby; M Berger; R G Eckenhoff
Journal:  Br J Anaesth       Date:  2018-06-15       Impact factor: 9.166

3.  Anesthetic-related neurotoxicity in the young and outcome measures: the devil is in the details.

Authors:  Randall P Flick; Michael E Nemergut; Kaare Christensen; Tom G Hansen
Journal:  Anesthesiology       Date:  2014-06       Impact factor: 7.892

4.  Postoperative cognitive change after cardiac surgery predicts long-term cognitive outcome.

Authors:  Kristiina Relander; Marja Hietanen; Kirsi Rantanen; Juhani Rämö; Antti Vento; Kari-Pekka Saastamoinen; Risto O Roine; Lauri Soinne
Journal:  Brain Behav       Date:  2020-07-17       Impact factor: 2.708

5.  Segmentation of Prefrontal Lobe Based on Improved Clustering Algorithm in Patients with Diabetes.

Authors:  Na Zhao; Qingzhen Zhao; Liang Wang; Xiuqing Wu; Rui Zhang; Haijun Feng
Journal:  Comput Math Methods Med       Date:  2021-10-07       Impact factor: 2.238

Review 6.  Mitigation of perioperative neurocognitive disorders: A holistic approach.

Authors:  Seyed A Safavynia; Peter A Goldstein; Lisbeth A Evered
Journal:  Front Aging Neurosci       Date:  2022-07-27       Impact factor: 5.702

7.  The sensitivity and specificity of statistical rules for diagnosing delayed neurocognitive recovery with Montreal cognitive assessment in elderly surgical patients: A cohort study.

Authors:  Jian Hu; Chun-Jing Li; Bo-Jie Wang; Xue-Ying Li; Dong-Liang Mu; Dong-Xin Wang
Journal:  Medicine (Baltimore)       Date:  2020-07-17       Impact factor: 1.817

  7 in total

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