| Literature DB >> 32702882 |
Jian Hu1,2, Chun-Jing Li1, Bo-Jie Wang1, Xue-Ying Li3, Dong-Liang Mu1, Dong-Xin Wang1.
Abstract
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.Entities:
Mesh:
Year: 2020 PMID: 32702882 PMCID: PMC7373532 DOI: 10.1097/MD.0000000000021193
Source DB: PubMed Journal: Medicine (Baltimore) ISSN: 0025-7974 Impact factor: 1.817
Demographic characteristic.
Results of MoCA and neuropsychological tests.
The sensitivity and specificity of MoCA by different rules.
Figure 1The areas under ROC curve of different statistical rules in diagnosing DNR. The 2 scores rule showed the best ability in diagnosing of DNR than other 3 methods. Blue line indicated the cut-off point rule. Red line indicated the 1 SD rule. Green line indicated the 2 scores rule. Orange line indicated the Z score rule. CI = confidence interval, DNR = delayed neurocognitive recovery, ROC = receiver operating characteristic, SD = standard deviation.