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Enregistrement W3032605125 · doi:10.3760/cma.j.jssn.1673-4904.2016.08.003

Prognostic value of copeptin combined with National Institutes of Health stroke score and modified Rankin score in patients with acute cerebral infarction

2016· article· en· W3032605125 sur OpenAlexaboutno aff
Yan Zhao, Xiangdong Chen, Yanmei Zhang, Yinling Feng

Notice bibliographique

RevueChin J Postgrad Med · 2016
Typearticle
Langueen
DomaineMedicine
ThématiqueNeurological Complications and Syndromes
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineCopeptinInternal medicineModified Rankin ScaleStroke (engine)Cerebral infarctionGastroenterologyIschemic strokeIschemia

Résumé

récupéré en direct d'OpenAlex

Objective To investigate the disease assessment and prognosis value of serum copeptin level in patients with acute cerebral infarction (ACI). Methods One hundred first diagnosed ACI patients were selected as ACI group. According to the National Institutes of Health stroke score (NIHSS), the ACI patients were divided into mild (NIHSS 15 scores). Sixty cases of healthy subjects were selected as control group. The serum copeptin level was measured by double antibody sandwich enzyme linked immunosorbent assay method in control group and ACI group (onset within 24 h). The NIHSS, Alberta stroke program early CT score (ASPECTS) and modified Rankin score (mRS) onset within 24 h and 14 d were evaluated in patients with ACI, and the mRS 90 d and 180 d after ACI were evaluated. The neurological impairment was assessed by mRS 180 d after ACI, mRS ≤ 2 scores was good prognosis, ≥ 3 scores was poor prognosis. The correlation was analyzed. Results Among the 100 patients with ACI, mild was in 52 cases, moderate in 34 cases, and severe in 14 cases; good prognosis was in 79 cases and poor prognosis in 21 cases. The serum copeptin levels within 24 h of ACI in mild, moderate and severe patients of ACI group were significantly higher than that in control group: (4.82 ± 1.25), (6.39 ± 2.21) and (9.28 ± 3.82) pmol/L vs. (1.95 ± 0.28) pmol/L. The serum copeptin level within 24 h of ACI in moderate patients was significantly higher than that in mild patients, in severe patients was significantly higher than that in moderate patients, and there were statistical differences (P <0.05). Within 24 h of ACI , the ASPECTS in moderate and severe patients were significantly lower than that in mild patients: (10.02 ± 2.10) and (6.24 ± 3.05) scores vs. (12.16 ± 0.84) scores, in severe patients was significantly lower than that in moderate patients, and there were statistical differences (P<0.05). The NIHSS in moderate and severe patients were significantly higher than that in mild patients: (10.68 ± 3.14) and (16.20 ± 4.26) scores vs. (4.35 ± 1.52) scores, in severe patients was significantly higher than that in moderate patients, and there were statistical differences (P <0.05). The serum copeptin levels within 24 h of ACI and NIHSS in each time point in good prognosis patients were significantly lower than those in poor prognosis patients: (3.52 ± 1.26) pmol/L vs. (8.68 ± 3.06) pmol/L and (5.68 ± 2.11) scores vs. (15.36 ± 3.25) scores, (4.85 ± 1.86) scores vs. (12.60 ± 3.89) scores, (3.68 ± 1.21) scores vs. (6.35 ± 2.96) scores, (2.16 ± 0.75) scores vs. (5.21 ±1.96) scores, and the ASPECTS within 24 h of ACI was significantly higher than that in poor prognosis patients: (11.38 ± 2.21) scores vs. (7.86 ± 2.49) scores, and there were statistical differences (P <0.05). The single factor Logistic regression analysis results showed that the age, ASPECTS, NIHSS and serum copeptin level were the influencing factors of severity of illness in patients with ACI (OR = 1.21, 5.36, 5.61 and 6.62; 95% CI 0.99 -1.39, 3.34 -9.21, 2.86 -7.52 and 1.38 -12.64; P = 0.04, 0.01, 0.01 and 0.00), and the influencing factors of poor prognosis (OR = 1.32, 5.21, 4.86 and 6.82; 95% CI 0.84 -1.43, 3.52 -8.39, 2.62 -5.35 and 2.67 -11.85; P = 0.04, 0.01, 0.01 and 0.00). ROC analysis results showed that the area under curve of NIHSS, serum copeptin level and ASPECTS in predicting poor prognosis in patients with ACI were 0.926, 0.863 and 0.624. In the mild, moderate and severe patients, the serum copeptin level was negative correlated with ASPECTS (r = -0.682, -0.594 and -0.572; P <0.01), and the serum copeptin level was positively correlated with NIHSS (r = 0.652, 0.614 and 0.586; P<0.01). Conclusions The serum copeptin level in patients with ACI is significantly elevated. The serum copeptin level is positively correlated with neurologic impairment severity and prognosis in patients with ACI, and it has important significance in evaluating pathogenetic condition and prognosis. Key words: Brain infarction; Prognosis; Copeptin; National Institutes of Health stroke score; Modified Rankin score

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)0,000
Version: codex-gemma-dda1882f352aStatut 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 enseignants0,006
Score d'incertitude au seuil0,277

Scores Codex et Gemma par catégorie

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

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 Opus0,022
Tête enseignante GPT0,254
Écart entre enseignants0,232 · 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.

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
Publié2016
Routes d'admission1
Résumé présentoui

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