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Enregistrement W2017597420 · doi:10.1111/jgs.12904

Cognitive Impairment Is Associated with High Coated‐Platelet Levels in Individuals with Carotid Atherosclerosis

2014· letter· en· W2017597420 sur OpenAlexaboutno aff
Angelia Kirkpatrick, Andrea S. Vincent, George L. Dale, Călin I. Prodan

Notice bibliographique

RevueJournal of the American Geriatrics Society · 2014
Typeletter
Langueen
DomaineMedicine
ThématiqueCerebrovascular and Carotid Artery Diseases
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineMontreal Cognitive AssessmentStroke (engine)Internal medicineDementiaPlateletDepression (economics)Platelet activationCardiologyAnesthesiaDisease

Résumé

récupéré en direct d'OpenAlex

Coated-platelets are a subpopulation of procoagulant platelets observed upon dual agonist stimulation with thrombin and collagen.1 Individuals with nonlacunar ischemic stroke have higher coated-platelet levels than individuals without stroke or with lacunar stroke.2 Higher coated-platelet levels in symptomatic individuals with 50% or more carotid stenosis are associated with early stroke recurrence.3 Carotid disease is a risk factor for cognitive impairment, thought to be due to cerebral emboli or hypoperfusion with or without silent brain infarctions.4 A pilot study was undertaken to test the hypothesis that high coated-platelet levels are associated with cognitive impairment in individuals with carotid atherosclerosis. Consecutive outpatients referred for carotid Doppler evaluation were screened for cognitive impairment using the Montreal Cognitive Assessment (MoCA) test5 and for depression using the Beck Depression Inventory-II (BDI-II).6 Exclusion criteria included stroke or transient ischemic attack (TIA) within the previous 6 months, known dementia, use of anticoagulants, prolonged coagulation tests (prothrombin time, partial thromboplastin time, international normalized ratio), severe depression (BDI-II score ≥33),6 or intake of sedating substances within 2 hours before screening. Electronic medical records were reviewed for evidence of stroke and TIA within the previous 6 months or prior diagnosis of memory loss. After informed consent, 5 mL of blood was drawn, and coated-platelet levels were determined as described previously.2, 3 Levels are reported as percentage of cells converted to coated-platelets.2 Repeated measurements of coated-platelet levels were also available for a subset of participants (n = 14). Descriptive statistics were determined and independent-sample t tests, and chi-square tests were performed. Covariates were determined using correlations between potential covariates and coated-platelet levels, as well as group differences in relevant variables, and included as needed. The stability of coated-platelet levels at 6-month intervals within groups was examined using a mixed-effects general linear model. All analyses were generated using SAS version 9.2 (SAS Institute, Inc., Cary, NC), with significance set at P < .05. Seventy-nine patients were screened. Nineteen were excluded for severe depression (n = 6), refusing the BDI-II screen (n = 1), intake of sedating medications before evaluation (n = 3), previous dementia diagnosis (n = 2), or evidence of stroke or TIA within 6 months before enrollment (n = 7). Table 1 lists demographic characteristics, risk factors, and medications that may influence coated-platelet levels.7 All participants were military veterans, resulting in an overrepresentation of men. Fifty-seven percent (34/60) of patients had evidence of cognitive impairment (MoCA score <26, range 17–25). Of these, 32 (94%) had a MoCA score of 19 or greater, suggestive of mild cognitive impairment.5 There were no significant differences between participants with (n = 34) and without (n = 26) cognitive impairment in demographic characteristics, risk factors, or medications, although there was a trend toward older age (P = .06) and a greater proportion of subjects with 50% or more carotid stenosis in participants with cognitive impairment than of those without cognitive impairment (50% vs 31%, P = .13). There was also a correlation approaching significance between coated-platelet levels and hypertension (P = .05). Mean coated-platelet levels ± standard deviation were higher in participants with cognitive impairment (42.7 ± 11.5%) than in those without (34.1 ± 12.3%) (P = .007), even after adjusting for carotid stenosis severity, age, and hypertension (adjusted mean (standard error of the mean) 42.5 (2.0%) vs 34.4 (2.3%), P = .01). Repeat coated-platelet levels showed no significant change over approximately 6 months (P = .42, n = 14). These results demonstrate the presence of higher coated-platelet levels in individuals with carotid atherosclerosis and cognitive impairment than in those without cognitive impairment. The levels observed here in individuals with cognitive impairment are almost identical to those found previously in individuals with large-artery symptomatic stroke.3 Unlike single-agonist activated platelets, coated-platelets retain high levels of several procoagulant proteins on the cell surface.1, 8 The combination of bound procoagulant proteins and exposed phosphatidylserine results in a robust prothrombinase activity.1, 8 Because thrombin generation is central to coagulation, coated-platelets are considered to be prothrombotic.1 The presence of high coated-platelet production, and by extrapolation high prothrombinase activity, in individuals with asymptomatic carotid atherosclerosis and cognitive impairment lend partial support to the proposed role of microembolism in the development of early vascular cognitive impairment in these individuals. These data also confirm previous reports that a significant percentage of individuals with carotid atherosclerosis have cognitive impairment, with the range of MoCA values observed suggesting mild cognitive impairment.5, 9, 10 Limitations of this study include small sample size and underrepresentation of women and minorities. Nevertheless, these results suggest that further study of coated-platelets in populations at risk for carotid disease4 is warranted. We thank Leslie Guthery and Paul Friese for their assistance. Conflict of Interest: Supported by the Department of Veterans Affairs (2011 Veterans Integrated Support Network 16 (Angelia C. Kirkpatrick) and Merit Award 1I01CX000340 (Calin I. Prodan)). Author Contributions: All authors: study concept and design, data acquisition, analysis and interpretation, and manuscript preparation. Sponsor's Role: 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 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)0,003
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 enseignants0,008
Score d'incertitude au seuil0,016

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,003
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0020,002
Études des sciences et des technologies0,0010,000
Communication savante0,0010,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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 Opus0,015
Tête enseignante GPT0,239
Écart entre enseignants0,224 · 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

Citations2
Publié2014
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueJournal of the American Geriatrics Society→Même sujetCerebrovascular and Carotid Artery Diseases→Travaux en français237 207→