Risk Factors for Postoperative Cognitive Decline After Orthopedic Surgery in Elderly Chinese Patients: A Retrospective Cohort Study
Bibliographic record
Abstract
Xian Li,1,* Hong Lai,2,* Peng Wang,3 Shuai Feng,4 Xuexin Feng,4 Chao Kong,3 Dewei Wu,5 Chunlin Yin,5 Jianghua Shen,6 Suying Yan,6 Rui Han,7 Jia Liu,7 Xiaoyi Ren,8 Ying Li,8 Lu Tang,9 Dong Xue,9 Ying Zhao,9 Hao Huang,10 Xiaoying Li,10 Yanhong Zhang,10 Xue Wang,11 Chunxiu Wang,12 Ping Jin,13 Shibao Lu,3 Tianlong Wang,4 Guoguang Zhao,14 Chaodong Wang1 On behalf of the APPLE-MDT Research Team, Xuanwu Hospital, Capital Medical University and National Clinical Research Center for Geriatric Diseases1Department of Neurology & Neurobiology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, 100053, People’s Republic of China; 2Department of Neurology, The First Affiliated Hospital of Gannan Medical University, Ganzhou, 341000, People’s Republic of China; 3Department of Orthopedic Surgery, Xuanwu Hospital, Capital Medical University, Beijing, 100053, People’s Republic of China; 4Department of Anesthesiology, Xuanwu Hospital, Capital Medical University, Beijing, 100053, People’s Republic of China; 5Department of Cardiology, Xuanwu Hospital, Capital Medical University, Beijing, 100053, People’s Republic of China; 6Department of Pharmacy, Xuanwu Hospital, Capital Medical University, Beijing, 100053, People’s Republic of China; 7Department of Gerontology, Xuanwu Hospital, Capital Medical University, Beijing, 100053, People’s Republic of China; 8Department of Nutrition, Xuanwu Hospital, Capital Medical University, Beijing, 100053, People’s Republic of China; 9Department of Oral Medicine, Xuanwu Hospital, Capital Medical University, Beijing, 100053, People’s Republic of China; 10Department of Medical Administration, Xuanwu Hospital, Capital Medical University, Beijing, 100053, People’s Republic of China; 11Department of Medical Library, Xuanwu Hospital, Capital Medical University, Beijing, 100053, People’s Republic of China; 12Center for Evidence-Based Medicine, Xuanwu Hospital, Capital Medical University, Beijing, 100053, People’s Republic of China; 13Center for Medical Information, Xuanwu Hospital, Capital Medical University, Beijing, 100053, People’s Republic of China; 14Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, 100053, People’s Republic of China*These authors contributed equally to this workCorrespondence: Chaodong Wang, Department of Neurology, Xuanwu Hospital of Capital Medical University, National Clinical Research Center for Geriatric Diseases, No. 45 Changchun Street, Beijing, 100053, People’s Republic of China, Tel/Fax +86-10-8319-8677, Email cdongwang@xwhosp.orgPurpose: We aimed to identify the risk factors for postoperative cognitive decline (POCD) by evaluating the outcomes from preoperative comprehensive geriatric assessment (CGA) and intraoperative anesthetic interventions.Patients and Methods: Data used in the study were obtained from the Aged Patient Perioperative Longitudinal Evaluation–Multidisciplinary Trial (APPLE-MDT) cohort recruited from the Department of Orthopedics in Xuanwu Hospital, Capital Medical University between March, 2019 and June, 2022. All patients accepted preoperative CGA by the multidisciplinary team using 13 common scales across 15 domains reflecting the multi-organ functions. The variables included demographic data, scales in CGA, comorbidities, laboratory tests and intraoperative anesthetic data. Cognitive function was assessed by Montreal Cognitive Assessment scale within 48 hours after admission and after surgery. Dropping of ≥ 1 point between the preoperative and postoperative scale was defined as POCD.Results: We enrolled 119 patients. The median age was 80.00 years [IQR, 77.00, 82.00] and 68 patients (57.1%) were female. Forty-two patients (35.3%) developed POCD. Three cognitive domains including calculation (P = 0.046), recall (P = 0.047) and attention (P = 0.007) were significantly worsened after surgery. Univariate analysis showed that disability of instrumental activity of daily living, incidence rate of postoperative respiratory failure (PRF) ≥ 4.2%, STOP-Bang scale score, Caprini risk scale score and Sufentanil for maintenance of anesthesia were different between the POCD and non-POCD patients. In the multivariable logistic regression analysis, PRF ≥ 4.2% (odds ratio [OR] = 2.343; 95% confidence interval [CI]: 1.028– 5.551; P = 0.046) and Sufentanil for maintenance of anesthesia (OR = 0.260; 95% CI: 0.057– 0.859; P = 0.044) was independently associated with POCD as risk and protective factors, respectively.Conclusion: Our study suggests that POCD is frequent among older patients undergoing elective orthopedic surgery, in which decline of calculation, recall and attention was predominant. Preoperative comprehensive geriatric assessments are important to identify the high-risk individuals of POCD.Keywords: cognitive dysfunction, postoperative cognitive complications, orthopedic surgery, comprehensive geriatric assessment, risk factors
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 |
| 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".