Prevalence and trajectory of postoperative cognitive impairment in older surgical patients: a multicenter longitudinal prospective cohort study
Bibliographic record
Abstract
BACKGROUND: The COVID-19 pandemic has accelerated the adoption of remote healthcare services, including cognitive screening tools delivered through virtual platforms. This study evaluates the prevalence and trajectory of cognitive impairment (CI) in older non-cardiac surgical patients preoperatively and postoperatively at 30, 90, and 180 days, as assessed using remote cognitive assessment tools. METHOD: Following ethics approval, non-cardiac surgical patients aged ≥65 years provided consent. Cognition was assessed virtually and over the phone using two validated screening tools preoperatively and at 30, 90, and 180 days postoperatively: the Ascertain Dementia Eight-item Questionnaire (AD8) and Telephone Montreal Cognitive Assessment (T-MoCA). Specifically, a cutoff score of ≥2 on the AD8 and ≤18 on the T-MoCA suggested CI. Participants identified as having probable CI on these screening tools were subsequently referred to as having CI. A total of 244 patients completed the AD8 and 218 completed the T-MoCA preoperatively and at least once postoperatively at 30, 90, or 180 days. RESULT: Among the 244 patients, the preoperative prevalence of CI on the AD8 was 17%, which did not change significantly after surgery (Figure 1A). Of the 202 participants without preoperative CI on the AD8, the incidence of CI was 8.3%, 6.4%, and 4.6% at 30, 90, and 180 days postoperatively, respectively (Figure 1B). In contrast to the AD8, the T-MoCA revealed a 26% prevalence of CI preoperatively, which significant decreased at 180 days (13% vs. 26%, p = 0.01; Figure 2A). Among participants without preoperative CI on the T-MoCA, a similar trend to AD8 was observed, with the postoperative incidence rates of CI being 11.1%, 7.8%, and 8.0% at 30, 90, and 180 days, respectively (Figure 2B). CONCLUSION: Regardless of the cognitive assessment tool, we found that participants without CI preoperatively experienced an increase in CI at 30 days postoperatively, followed by a decline at 90 and 180 days. Approximately 5% of patients developed CI on the AD8, and 8% on the T-MoCA at 6 months postoperatively. These findings highlight the potential impact of surgery on older adults with normal cognitive function and emphasize the value of remote cognitive screening tools in monitoring postoperative cognitive changes and identifying at-risk patients.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".