Prognostic Value of Glucose-to-Potassium Ratio in Acute Ischemic Stroke Patients Undergoing Thrombolysis and Its Interaction with Inflammation
Notice bibliographique
Résumé
Lingling Lin,1,&ast; Rui Zhang,2,3,&ast; Jianing Wang,4,&ast; Yichuan Fan,2,5 Wei Xie,2,6 Bohuai Yu,2,6 Jialing Lou,2,6 Yanyi Pan,2,6 Chao Chen,7 Suwen Huang,2 Guangyong Chen,1 Yiyun Weng2 1Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People’s Republic of China; 2Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People’s Republic of China; 3Renji College, Wenzhou Medical University, Wenzhou, Zhejiang, People’s Republic of China; 4Department of Neurology, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People’s Republic of China; 5Alberta Institute, Wenzhou Medical University, Wenzhou, Zhejiang, People’s Republic of China; 6The First School of Medicine, School of Information and Engineering, Wenzhou Medical University, Wenzhou, Zhejiang, People’s Republic of China; 7Department of Nutriology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Guangyong Chen, Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, 325000, People’s Republic of China, Email gychen@wmu.edu.cn Yiyun Weng, Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, 325000, People’s Republic of China, Email wengyiyun2012@126.comObjective: The glucose-to-potassium ratio (GPR) has been proven to be an early predictor of central nervous system injury. Meanwhile, it has a potential interaction with the inflammatory response. Therefore, we aimed to comprehensively analyze the prognostic value of GPR for thrombolytic acute ischemic stroke (AIS) patients and its synergistic effect with the neutrophil-to-lymphocyte ratio (NLR).Methods: AIS patients treated with thrombolysis were retrospectively enrolled at the First Affiliated Hospital of Wenzhou Medical University between February 1st, 2018, and December 31st, 2021. Cox and Logistic regression were used for evaluating the predictive value of GPR for the prognosis of AIS patients. Patients were grouped according to GPR and NLR levels to study the synergistic effect of GPR and NLR.Results: In a cohort of 606 patients, after adjusting for significant confounding factors in a multivariate regression analysis, GPR was able to independently predict adverse outcomes such as 6-mRS [odds ratio (OR) = 1.743, 95% confidence interval (CI): 1.271– 2.389, p = 0.001]. The synergistic analysis of GPR and NLR showed that for 6-mRS, GPR-H/NLR-L (OR = 2.888, 95% CI: 1.213– 6.874, p = 0.017), GPR-H/NLR-M (OR = 2.757, 95% CI: 1.179– 6.447, p = 0.019) and GPR-H/NLR-H (OR = 5.195, 95% CI: 2.320– 11.634, p < 0.001) were significantly associated with adverse outcomes.Conclusion: GPR independently predicts adverse outcomes in AIS patients, and its addition to the prediction model improves predictive accuracy. There’s a synergistic effect between GPR and NLR on adverse outcomes.Keywords: glucose-to-potassium ratio, neutrophil-to-lymphocyte ratio, acute ischemic stroke
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».