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1 ation between pre-existing brain atrophy and postoperative delirium.
2 general anesthesia, has been associated with postoperative delirium.
3 dexmedetomidine administration would reduce postoperative delirium.
4 perative infusion of dexmedetomidine reduces postoperative delirium.
5 raoperative dexmedetomidine does not prevent postoperative delirium.
6 of participants were women and 24% developed postoperative delirium.
7 e impairment are consistent risk factors for postoperative delirium.
8 , diffusion tensor imaging abnormalities and postoperative delirium.
9 or tests to establish a mouse model to study postoperative delirium.
10 ties and are at increased risk of developing postoperative delirium.
11 sual care, did not decrease the incidence of postoperative delirium.
12 of atrial fibrillation, and the incidence of postoperative delirium.
13 ancer surgery and to determine predictors of postoperative delirium.
14 this analysis, 46 (9.2%) patients developed postoperative delirium.
15 strongest risk factor for the development of postoperative delirium.
16 he strongest predictor of the development of postoperative delirium.
17 42 (P < 0.01) were independent predictors of postoperative delirium.
18 tality, were worse in patients who developed postoperative delirium.
19 sual care, did not decrease the incidence of postoperative delirium.
20 that were associated with the development of postoperative delirium.
21 general anesthesia, has been associated with postoperative delirium.
22 CPAR and delirium data, 26 (12.6%) developed postoperative delirium.
23 red thirty-four participants (24%) developed postoperative delirium.
24 nderwent orthopedic surgery and screened for postoperative delirium.
25 ing five geriatric outcomes were defined: 1) postoperative delirium, 2) physical function on postoper
26 a complication, a 2-fold increase in odds of postoperative delirium (95% CI 1.65-2.66), a 27% increas
27 R, 2.2; 95% CI, 1.4-2.7) was associated with postoperative delirium (adjusted OR, 17.0; 95% CI, 1.2-2
28 ubstantial variation in the hospital rate of postoperative delirium after accounting for patient risk
30 e role of blood-brain barrier dysfunction in postoperative delirium and hospital length of stay among
32 perative delirium-like behavior, its role in postoperative delirium and postoperative recovery in hum
33 id synthesis pathways may be associated with postoperative delirium and suggest potential mechanisms
35 to determine the predictive value of GA for postoperative delirium, and a multivariate model was bui
36 responsiveness during propofol anaesthesia, postoperative delirium, and states of dissociation from
38 operative cognitive functions or who develop postoperative delirium are at risk of developing dementi
39 operative delirium, compared with those with postoperative delirium, are more likely to have specific
41 on postoperative days 1 and 2, and evaluated postoperative delirium by the Confusion Assessment Metho
43 g surgery in hospitals with a higher rate of postoperative delirium compared with hospitals with lowe
44 To investigate whether older adults without postoperative delirium, compared with those with postope
45 luded all-cause 30-day and 1-year mortality, postoperative delirium, discharge disposition, and compl
46 crucial in identifying patients at risk for postoperative delirium, enhancing postoperative manageme
47 en more frequently in the elderly, including postoperative delirium, functional decline, and the need
48 ing major noncardiac surgery who experienced postoperative delirium had 3.5-fold higher odds of death
50 and of lifetime occupation), and the risk of postoperative delirium in 566 older adults (age >/=70 ye
51 Age was the only preoperative predictor of postoperative delirium in multivariate modeling (P < 0.0
55 rocedures, reconsideration of the problem of postoperative delirium in the elderly patient, and a gen
61 diffusion tensor imaging before surgery, on postoperative delirium incidence and severity, as well a
67 outcomes and the hospital-level variation of postoperative delirium is important for efforts to impro
70 role for blood-brain barrier dysfunction in postoperative delirium-like behavior, its role in postop
72 lective surgical population, suggesting that postoperative delirium may indicate incipient Alzheimer
73 compared with hospitals with lower rates of postoperative delirium (median OR, 1.53; 95% CI, 1.50-1.
74 mmation is considered an important driver of postoperative delirium, next we tested whether neurofila
77 disciplinary prevention intervention reduced postoperative delirium occurrence and days with delirium
81 ients with delirium showed no differences in postoperative delirium onset day or duration or total de
82 68; 95% CI, 0.54-0.84) and the occurrence of postoperative delirium (p = 0.002; odds ratio, 7.57; 95%
84 s postoperative cognitive decline (POCD) and postoperative delirium, perioperative beta-blockade and
87 blood-brain barrier dysfunction would reduce postoperative delirium rates and hospital length of stay
88 ive exercise-based interventions to decrease postoperative delirium risk and burden need further stud
89 putrescine levels could be useful markers of postoperative delirium risk, particularly when combined
90 reened for preoperatively, those who develop postoperative delirium should be followed up to enable e
91 asured by general cognitive performance, and postoperative delirium, the microstructural changes obse
92 he Geriatrics Service evaluates patients for postoperative delirium using the confusion assessment me
95 Variability in the hospital incidence of postoperative delirium was evaluated using multilevel lo
96 posite of death and major complications with postoperative delirium was examined using multivariable
99 nally, the health care costs attributable to postoperative delirium were estimated at $32.9 billion (
100 ing for patient characteristics, the odds of postoperative delirium were higher for patients undergoi
101 ithout postoperative delirium, patients with postoperative delirium were more likely to experience de
103 erences in the plasma proteomic signature of postoperative delirium, which may signify age difference
104 ression equation allowed for a prediction of postoperative delirium with a sensitivity of 71.19% and
106 ic and sensitive clinical tool for detecting postoperative delirium, with the caveat that the 3D-CAM
107 A total of 56 patients (33%) experienced postoperative delirium within two weeks of implantation.