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Record W4414393168 · doi:10.1177/15491684251379234

The Impact of the Geriatric Nutritional Risk Index on Postoperative Cognitive Dysfunction and Complications after Total Hip Arthroplasty Under General Anesthesia: A Retrospective Study

2025· article· en· W4414393168 on OpenAlex
Xia Li, Yunyun Sun, Liang Chen, Yuanhai Li

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueRejuvenation Research · 2025
Typearticle
Languageen
FieldMedicine
TopicCardiac, Anesthesia and Surgical Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsPostoperative cognitive dysfunctionLogistic regressionConfidence intervalReceiver operating characteristicRetrospective cohort studyArea under the curveMontreal Cognitive AssessmentMultivariate analysisArthroplasty

Abstract

fetched live from OpenAlex

The Geriatric Nutritional Risk Index (GNRI) is widely used to assess nutritional status. However, its association with postoperative cognitive dysfunction (POCD) and postoperative complications in elderly patients receiving total hip arthroplasty remains inadequately explored. GNRI was calculated based on serum albumin and body weight. POCD was diagnosed using the Z-score method based on cognitive test performance on the seventh postoperative day. Glial fibrillary acidic protein (GFAP) and S100β levels were determined using an enzyme-linked immunosorbent assay. A Receiver Operating Characteristic curve was performed to evaluate the predictive value of GNRI. Multivariate logistic regression was conducted to identify risk factors for POCD in elderly patients undergoing total hip arthroplasty. The POCD group was significantly older, had lower educational attainment, longer surgery duration, greater intraoperative blood loss, and lower preoperative GNRI scores compared to the non-POCD group. Preoperative GNRI demonstrated moderate predictive value for POCD, with an area under curve (AUC) of 0.78. Multivariate logistic regression analysis identified age (odds ratio [OR]: 1.214, 95% confidence interval [CI]: 1.047–1.449), blood loss (OR: 1.198, 95% CI: 1.055–1.493), and anesthesia duration (OR: 1.376, 95% CI: 1.112–1.795) as significant risk factors for POCD, while preoperative GNRI (OR: 0.885, 95% CI: 0.768–0.973) was identified as a protective factor. POCD patients exhibited significantly lower Montreal Cognitive Assessment (MoCA) scores and higher serum S100β and GFAP levels than the non-POCD group. Preoperative GNRI was positively correlated with MoCA scores (r = 0.46, p < 0.001) and negatively correlated with serum S100β (r = −0.43, p < 0.001) and GFAP (r = −0.37, p < 0.001) levels. Higher preoperative GNRI scores were associated with a reduced incidence of postoperative complications, including pulmonary infections and liver dysfunction. Preoperative GNRI serves as an effective predictor of POCD and postoperative complications in elderly patients receiving hip arthroplasty.

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.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.009
Threshold uncertainty score0.460

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.022
GPT teacher head0.359
Teacher spread0.338 · 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