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Record W3090919654 · doi:10.1213/ane.0000000000005197

Agreement Between the Mini-Cog in the Preoperative Clinic and on the Day of Surgery and Association With Postanesthesia Care Unit Delirium: A Cohort Study of Cognitive Screening in Older Adults

2020· article· en· W3090919654 on OpenAlexaboutno aff
Miriam M. Treggiari, N. David Yanez, Jeffrey R. Kirsch, Praveen Tekkali, Cornelia C. Taylor, Katie J. Schenning

Bibliographic record

VenueAnesthesia & Analgesia · 2020
Typearticle
Languageen
FieldMedicine
TopicIntensive Care Unit Cognitive Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePacuDeliriumElective surgeryCohortCohort studyLogistic regressionProspective cohort studyOdds ratioMontreal Cognitive AssessmentCognitive testPhysical therapyEmergency medicineCognitionSurgeryInternal medicineCognitive impairmentPsychiatry

Abstract

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BACKGROUND: Cognitive impairment is common in older surgical patients and is associated with postoperative delirium. However, cognitive function is inconsistently assessed preoperatively, leading to missed opportunities to recognize vulnerable patients. We designed a prospective cohort study to assess the agreement of the Mini-Cog screening tool administered in the preoperative clinic (clinic-day test) or immediately before surgery (surgery-day test) and to determine whether a positive screening for cognitive dysfunction in the surgery-day test is associated with postoperative delirium in the postanesthesia care unit (PACU). METHODS: This was a cohort study of patients aged 65-89 years, scheduled for elective, inpatient surgery under general anesthesia between June 20, 2018 and August 3, 2018. Mini-Cog test scores were obtained during a clinic-day test and surgery-day test. The Short Confusion Assessment Method was performed in the PACU. Agreement between Mini-Cog clinic-day and surgery-day test scores was estimated using an ordinally weighted kappa statistic, κ. Multivariable logistic regression was used to determine whether there was an association between a positive screen for cognitive impairment and PACU delirium. Odds ratio analysis was performed to determine whether the Mini-Cog score was associated with PACU delirium. RESULTS: Of 128 patients meeting eligibility criteria, 80 patients were enrolled. Ten had cognitive impairment based on the Mini-Cog clinic-day test score, while 70 did not. Age, sex, race, education level, subjective memory impairment, and American Society of Anesthesiologists (ASA) physical status were equivalent in the 2 groups. The mean number of days between the clinic-day score and the surgery-day score was 8.4 days (standard deviation [SD] = 6.9). Mini-Cog clinic-day and surgery-day scores had high agreement (κ = 0.78; 95% confidence interval [CI], 0.69-0.87; P < .001), and both scores were highly predictive of PACU delirium. Patients with Mini-Cog surgery-day scores compatible with cognitive impairment (Mini-Cog scores ≤2) had an estimated 12.8 times higher odds of PACU delirium compared to patients with normal cognitive function or Mini-Cog scores >2 (odds ratio [OR] = 12.8; 95% CI, 2.6-63.8, P = .002). Similarly, patients with Mini-Cog clinic-day test scores compatible with cognitive impairment had an estimated 29 times higher odds of PACU delirium compared to patients with normal cognitive function (OR = 29.0; 95% CI, 2.6-63.8, P < .001). CONCLUSIONS: These data support the approach of using the Mini-Cog on the day of surgery to screen for cognitive impairment in older patients. Importantly, Mini-Cog surgery-day test scores compatible with cognitive impairment (≤2) were strongly associated with PACU delirium.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.248
Threshold uncertainty score0.552

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.029
GPT teacher head0.277
Teacher spread0.249 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations32
Published2020
Admission routes1
Has abstractyes

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