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Risk Factors for Postoperative Cognitive Decline After Orthopedic Surgery in Elderly Chinese Patients: A Retrospective Cohort Study

2024· article· en· W6986964789 sur OpenAlexaboutno aff

Notice bibliographique

RevueDOAJ (DOAJ: Directory of Open Access Journals) · 2024
Typearticle
Langueen
DomaineMedicine
ThématiqueIntensive Care Unit Cognitive Disorders
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCapital (architecture)The RepublicMedical scienceRetrospective cohort studyOrthopedic surgeryEpidemiologyCapital region
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

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

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,015
Score d'incertitude au seuil0,030

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,000
Communication savante0,0010,001
Science ouverte0,0000,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,079
Tête enseignante GPT0,495
Écart entre enseignants0,416 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2024
Routes d'admission1
Résumé présentoui

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