Cargando…
The sensitivity and specificity of statistical rules for diagnosing delayed neurocognitive recovery with Montreal cognitive assessment in elderly surgical patients: A cohort study
Delayed neurocognitive recovery (DNR) is common in elderly patients after major noncardiac surgery. This study was designed to investigate the best statistical rule in diagnosing DNR with the Montreal cognitive assessment (MoCA) in elderly surgical patients. This was a cohort study. One hundred seve...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7373532/ https://www.ncbi.nlm.nih.gov/pubmed/32702882 http://dx.doi.org/10.1097/MD.0000000000021193 |
_version_ | 1783561509963563008 |
---|---|
author | Hu, Jian Li, Chun-Jing Wang, Bo-Jie Li, Xue-Ying Mu, Dong-Liang Wang, Dong-Xin |
author_facet | Hu, Jian Li, Chun-Jing Wang, Bo-Jie Li, Xue-Ying Mu, Dong-Liang Wang, Dong-Xin |
author_sort | Hu, Jian |
collection | PubMed |
description | Delayed neurocognitive recovery (DNR) is common in elderly patients after major noncardiac surgery. This study was designed to investigate the best statistical rule in diagnosing DNR with the Montreal cognitive assessment (MoCA) in elderly surgical patients. This was a cohort study. One hundred seventy-five elderly (60 years or over) patients who were scheduled to undergo major noncardiac surgery were enrolled. A battery of neuropsychological tests and the MoCA were employed to test cognitive function at the day before and on fifth day after surgery. Fifty-three age- and education-matched nonsurgical control subjects completed cognitive assessment with the same instruments at the same time interval. The definition of the international study of postoperative cognitive dysfunction (ISPOCD 1) was adopted as the standard reference for diagnosing DNR. With the MoCA, the following rules were used to diagnose DNR: the cut-off point of ≤26; the 1 standard deviation decline from baseline; the 2 scores decline from baseline; and the Z score of ≥1.96. The sensitivity and specificity as well as the area under receiver operating characteristic curve for the above rules in diagnosis of DNR were calculated. The incidence of DNR was 13.1% (23/175) according to the ISPOCD1 definition. When compared with the standard reference, the 2 scores rule showed the best combination of sensitivity (82.6%, 95% confidence interval [CI] 67.1%–98.1%) and specificity (82.2%, 95% CI 76.2%–88.3%); it also had the largest area under receiver operating characteristic curve (0.824, 95% CI 0.728–0.921, P < .001). The cut-off point rule showed high sensitivity (95.7%) and low specificity (37.5%), whereas the 1 standard deviation and the Z score rules showed low sensitivity (47.8% and 21.7%, respectively) and high specificity (93.4% and 97.3%, respectively). Compared with the ISPOCD1 definition, the 2 scores rule with MoCA had the best combination of sensitivity and specificity to diagnose DNR. |
format | Online Article Text |
id | pubmed-7373532 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-73735322020-08-05 The sensitivity and specificity of statistical rules for diagnosing delayed neurocognitive recovery with Montreal cognitive assessment in elderly surgical patients: A cohort study Hu, Jian Li, Chun-Jing Wang, Bo-Jie Li, Xue-Ying Mu, Dong-Liang Wang, Dong-Xin Medicine (Baltimore) 3300 Delayed neurocognitive recovery (DNR) is common in elderly patients after major noncardiac surgery. This study was designed to investigate the best statistical rule in diagnosing DNR with the Montreal cognitive assessment (MoCA) in elderly surgical patients. This was a cohort study. One hundred seventy-five elderly (60 years or over) patients who were scheduled to undergo major noncardiac surgery were enrolled. A battery of neuropsychological tests and the MoCA were employed to test cognitive function at the day before and on fifth day after surgery. Fifty-three age- and education-matched nonsurgical control subjects completed cognitive assessment with the same instruments at the same time interval. The definition of the international study of postoperative cognitive dysfunction (ISPOCD 1) was adopted as the standard reference for diagnosing DNR. With the MoCA, the following rules were used to diagnose DNR: the cut-off point of ≤26; the 1 standard deviation decline from baseline; the 2 scores decline from baseline; and the Z score of ≥1.96. The sensitivity and specificity as well as the area under receiver operating characteristic curve for the above rules in diagnosis of DNR were calculated. The incidence of DNR was 13.1% (23/175) according to the ISPOCD1 definition. When compared with the standard reference, the 2 scores rule showed the best combination of sensitivity (82.6%, 95% confidence interval [CI] 67.1%–98.1%) and specificity (82.2%, 95% CI 76.2%–88.3%); it also had the largest area under receiver operating characteristic curve (0.824, 95% CI 0.728–0.921, P < .001). The cut-off point rule showed high sensitivity (95.7%) and low specificity (37.5%), whereas the 1 standard deviation and the Z score rules showed low sensitivity (47.8% and 21.7%, respectively) and high specificity (93.4% and 97.3%, respectively). Compared with the ISPOCD1 definition, the 2 scores rule with MoCA had the best combination of sensitivity and specificity to diagnose DNR. Wolters Kluwer Health 2020-07-17 /pmc/articles/PMC7373532/ /pubmed/32702882 http://dx.doi.org/10.1097/MD.0000000000021193 Text en Copyright © 2020 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0 |
spellingShingle | 3300 Hu, Jian Li, Chun-Jing Wang, Bo-Jie Li, Xue-Ying Mu, Dong-Liang Wang, Dong-Xin The sensitivity and specificity of statistical rules for diagnosing delayed neurocognitive recovery with Montreal cognitive assessment in elderly surgical patients: A cohort study |
title | The sensitivity and specificity of statistical rules for diagnosing delayed neurocognitive recovery with Montreal cognitive assessment in elderly surgical patients: A cohort study |
title_full | The sensitivity and specificity of statistical rules for diagnosing delayed neurocognitive recovery with Montreal cognitive assessment in elderly surgical patients: A cohort study |
title_fullStr | The sensitivity and specificity of statistical rules for diagnosing delayed neurocognitive recovery with Montreal cognitive assessment in elderly surgical patients: A cohort study |
title_full_unstemmed | The sensitivity and specificity of statistical rules for diagnosing delayed neurocognitive recovery with Montreal cognitive assessment in elderly surgical patients: A cohort study |
title_short | The sensitivity and specificity of statistical rules for diagnosing delayed neurocognitive recovery with Montreal cognitive assessment in elderly surgical patients: A cohort study |
title_sort | sensitivity and specificity of statistical rules for diagnosing delayed neurocognitive recovery with montreal cognitive assessment in elderly surgical patients: a cohort study |
topic | 3300 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7373532/ https://www.ncbi.nlm.nih.gov/pubmed/32702882 http://dx.doi.org/10.1097/MD.0000000000021193 |
work_keys_str_mv | AT hujian thesensitivityandspecificityofstatisticalrulesfordiagnosingdelayedneurocognitiverecoverywithmontrealcognitiveassessmentinelderlysurgicalpatientsacohortstudy AT lichunjing thesensitivityandspecificityofstatisticalrulesfordiagnosingdelayedneurocognitiverecoverywithmontrealcognitiveassessmentinelderlysurgicalpatientsacohortstudy AT wangbojie thesensitivityandspecificityofstatisticalrulesfordiagnosingdelayedneurocognitiverecoverywithmontrealcognitiveassessmentinelderlysurgicalpatientsacohortstudy AT lixueying thesensitivityandspecificityofstatisticalrulesfordiagnosingdelayedneurocognitiverecoverywithmontrealcognitiveassessmentinelderlysurgicalpatientsacohortstudy AT mudongliang thesensitivityandspecificityofstatisticalrulesfordiagnosingdelayedneurocognitiverecoverywithmontrealcognitiveassessmentinelderlysurgicalpatientsacohortstudy AT wangdongxin thesensitivityandspecificityofstatisticalrulesfordiagnosingdelayedneurocognitiverecoverywithmontrealcognitiveassessmentinelderlysurgicalpatientsacohortstudy AT hujian sensitivityandspecificityofstatisticalrulesfordiagnosingdelayedneurocognitiverecoverywithmontrealcognitiveassessmentinelderlysurgicalpatientsacohortstudy AT lichunjing sensitivityandspecificityofstatisticalrulesfordiagnosingdelayedneurocognitiverecoverywithmontrealcognitiveassessmentinelderlysurgicalpatientsacohortstudy AT wangbojie sensitivityandspecificityofstatisticalrulesfordiagnosingdelayedneurocognitiverecoverywithmontrealcognitiveassessmentinelderlysurgicalpatientsacohortstudy AT lixueying sensitivityandspecificityofstatisticalrulesfordiagnosingdelayedneurocognitiverecoverywithmontrealcognitiveassessmentinelderlysurgicalpatientsacohortstudy AT mudongliang sensitivityandspecificityofstatisticalrulesfordiagnosingdelayedneurocognitiverecoverywithmontrealcognitiveassessmentinelderlysurgicalpatientsacohortstudy AT wangdongxin sensitivityandspecificityofstatisticalrulesfordiagnosingdelayedneurocognitiverecoverywithmontrealcognitiveassessmentinelderlysurgicalpatientsacohortstudy |