Fig 1.
The flow diagram shows that 192 participants were initially screened for the studies and finally 130 participants were included in the data analysis.
Fig 2.
The preoperative MMSE score predicts the postoperative delirium.
(A) ROC analysis was used for the determination of the diagnostic sensitivity and the specificity of the preoperative optimum cutoff score of MMSE versus CAM. (B) The relationship of probability of postoperative delirium and the preoperative MMSE score was determined by these formulas: [Logit (p) = 2.714–0.198*MMSE] and [Logit (p) = 3.263–0.191*MMSE] for the young-old and old-old participants, respectively. The probability of the postoperative delirium decreases with the increase of the MMSE scores, with a linear association in both groups of participants, young-old (dotted line) and old-old (solid line).
Table 1.
Demographic characteristics (N = 130).
Fig 3.
The incidence of postoperative delirium predicted by age-specified cutoff score in young-old participants.
(A) Participants who had a MMSE score of less than 18.4 (black bar) have higher incidence of developing postoperative delirium than participants with a MMSE score greater than 18.4 (white bar; P < 0.001, Chi-square test). (B) The incidence of the postoperative delirium in participants with a MMSE score of less than 21.4 (black bar) is higher than participants who had MMSE scores greater than 21.4 (white bar; P = 0.044, Chi-square test).