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Enregistrement W4213194752 · doi:10.1097/cm9.0000000000001973

Use of edaravone to decrease perioperative neurocognitive disorders in elderly patients with hip replacement

2022· letter· en· W4213194752 sur OpenAlexaboutno aff
Yu‐Jing Yuan, Liu-Jia-Zi Shao, Xin Luo, Fu‐Shan Xue

Notice bibliographique

RevueChinese Medical Journal · 2022
Typeletter
Langueen
DomaineMedicine
ThématiqueIntensive Care Unit Cognitive Disorders
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineDeliriumPerioperativeNeurocognitiveAnxietyDepression (economics)Postoperative cognitive dysfunctionIncidence (geometry)CognitionAnticholinergicMontreal Cognitive AssessmentRandomized controlled trialSurgeryAnesthesiaPsychiatryCognitive impairment

Résumé

récupéré en direct d'OpenAlex

To the Editor: By a randomized controlled trial, Xi et at[1] assessed the effects of edaravone on the development of postoperative delirium (POD) and perioperative neuro-cognitive disorders (PND) in elderly patients with hip replacement and showed that edaravone significantly decreased the incidence of POD within 7 days after surgery and the incidences of PND at 1 and 12 months after surgery. Given that both POD and PND are common complications after hip surgery in elderly patients and have been significantly associated with postoperative death, hospital-acquired complications, persistent cognitive impairments, poor postoperative functional recovery, prolonged duration of hospital stay, and increased healthcare costs,[2,3] their findings have potential implications. However, we noted several issues in the methodology and results of this study on which we would like to invite authors’ comments. First, the study objects were elderly surgical patients with a mean age >72 years. The authors only assessed preoperative cognitive function by the Montreal cognitive assessment score but did not determine whether patients suffered from preoperative neuropsychiatric comorbidities such as anxiety, delirium, depression, and sleep disorders. In fact, these comorbidities are common among elderly patients undergoing hip surgery and cannot be determined by the Montreal cognitive assessment score. It has been shown that these preoperative neuropsychiatric comorbidities are the most established predisposing factors of PND and POD after hip surgery in elderly patients.[2-5] Furthermore, the history of elderly patients’ preoperative medications was not included in the baseline data. The available evidence indicates that anticholinergic drugs and benzodiazepines are widely utilized in managing elderly patients and have been significantly associated with the development and severity of POD.[6] In addition, preoperative hemoglobin and albumin levels were also not provided in baseline data, though preoperative anemia and hypoalbuminemia have been significantly associated with an increased risk of POD in elderly surgical patients.[7] We are concerned that any imbalance in the above preoperative risk factors would have biased their findings. Second, in this study, the modified telephone interview for cognitive status was used to assess the cognitive function of all patients before and after surgery. Furthermore, the incidences of PND at 1 and 12 months after surgery were significantly lower in the edaravone group than in the control group. In the methods, however, the authors did not provide the diagnostic criteria of PND. In 2018, the International Nomenclature Consensus Working Group recommends that definitions of PND in a clinical study must meet the diagnostic criteria of neurocognitive disorders in the Diagnostic and Statistical Manual of Mental Disorders, 5th Edition.[8] Evidently, the use of decreased scores of modified telephone interview alone for cognitive status to diagnose PND in this study cannot achieve the requirements of new recommendations for the definition of PND. Thus, we question the incidence of PND reported in this study. Third, the duration of the hospital stay was shorter in the edaravone group than in the control group, but the authors did not provided the reasons for a prolonged hospital stay in the control group. Most importantly, it was also unclear whether the two groups were comparable with respect to early postoperative complications, such as infection, hemodynamic instability, arrhythmia, sleep disorders, accidental fall, anemia, and pneumonia, which are common after major surgery in elderly patients. It has been shown that these early postoperative complications can significantly increase the risk of POD and prolong the duration of hospital stay after hip surgery in elderly patients.[9] To differentiate the real effect of one factor on the primary endpoint in a randomized controlled trial, we argue that all other possible influencing factors must be standardized for the avoidance of potential bias. Finally, the authors described that primary endpoint were the incidence of POD within 7 days after surgery, the scores of the modified telephone interview for cognitive status, and the activities of daily life at 1 and 12 months after surgery. However, they used the incidence rate of decline in postoperative cognitive function scores to calculate the sample size. In fact, as a basic principle, in a randomized controlled trial, only an important observed parameter can be designed as the primary endpoint and sample size calculation must be performed on solely the primary endpoint. Furthermore, analysis of multiple secondary outcome parameters requires significance levels to be adjusted, for example, using a Bonferroni correction.[10] We believe that clarification of these statistical issues will improve the transparency of this study design. Conflicts of interest None.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,048
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Méta-épidémiologie (sens strict), Intégrité de la recherche, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: aucune
Score de désaccord entre enseignants0,462
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,048
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,007
Charge utile insuffisante (le modèle a refusé de juger)0,0070,000

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 Opus0,011
Tête enseignante GPT0,268
Écart entre enseignants0,256 · 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 tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

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
Publié2022
Routes d'admission1
Résumé présentoui

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