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Enregistrement W3173313286 · doi:10.1002/uog.23725

Emerging tool for assessment of left ventricular–arterial coupling after pre‐eclampsia

2021· letter· en· W3173313286 sur OpenAlexaff
Edoardo Sciatti, Rossana Orabona, Enrico Vizzardi

Notice bibliographique

RevueUltrasound in Obstetrics and Gynecology · 2021
Typeletter
Langueen
DomaineMedicine
ThématiquePregnancy and preeclampsia studies
Établissements canadiensSurgical Specialties (Canada)
Organismes subventionnairesUniversità degli Studi di Brescia
Mots-clésMedicineCardiologyInternal medicineArterial stiffnessPopulationSpeckle tracking echocardiographyDiastoleLeft ventricular hypertrophyHeart failureBlood pressureEjection fraction

Résumé

récupéré en direct d'OpenAlex

History of pre-eclampsia (PE) is a cardiovascular (CV) risk factor, associated with the development of CV disease later in life, when compared with the general female population matched for age. In order to further analyze this epidemiological link, we enrolled 60 women with a pregnancy complicated by PE (30 with early-onset PE and 30 with late-onset PE), 6 months to 4 years after delivery, and 30 healthy controls. The major strength of our investigation was that a study cohort without CV risk factors was selected in order to avoid bias. Cases and controls were evaluated comprehensively and contemporaneously by peripheral arterial tonometry (EndoPAT-2000, Itamar Medical Ltd, Caesarea, Israel), vascular plethysmography (Vascular Explorer, Enverdis GmbH, Jena, Germany) and echocardiography (traditional tissue Doppler imaging, speckle tracking and integrated backscatter). To summarize, we demonstrated that women with a history of PE, particularly those who experienced early-onset disease, had an increased incidence of endothelial dysfunction (37–77%, depending on the method)1, arterial stiffness (10–57%, depending on the method)1, concentric left ventricular (LV) remodeling (60%) with abnormally high LV mass (52%)2, 3, diastolic dysfunction (10% Grade I)3, myocardial impairment (53% for LV global longitudinal strain (GLS), 23% for LV radial two-dimensional strain, 33% for LV circumferential two-dimensional strain, 20% for LV torsion, 10% for left atrial strain and 23% for right ventricular strain)3, 4 and LV and aortic fibrosis1. These findings led us to hypothesize that the CV sequelae of PE may be considered a phenotype of heart failure with preserved ejection fraction (HFpEF), as we have discussed elsewhere1. Indeed, as commonly seen in HFpEF patients, ventricular–arterial coupling (VAC), calculated by Chen's method5, was within the normal range in the early-onset PE group, although it was significantly greater than that in the late-onset PE group and controls3. Furthermore, both of its components (i.e. aortic elastance (Ea) and LV end-systolic elastance (Ees)) were abnormal in approximately half of the cases with previous early-onset PE (Table 1)3. Interestingly, Ikonomidis et al. proposed recently a new promising marker to assess VAC itself, namely the ratio of carotid–femoral pulse-wave velocity (cfPWV) to GLS6. The main advantage of this marker is that cfPWV and GLS are optimal markers with which to assess arterial stiffness and myocardial performance, respectively, and are prognostic factors for CV events. In addition, while Ea and Ees increase concomitantly in HFpEF, leading to a ‘normal’ ratio, cfPWV increases while GLS decreases (as an absolute value), resulting in a greater absolute value of their ratio6. On the other hand, this method could become more expensive and time-consuming because the use of two non-invasive devices would be required to obtain VAC. Applying the new formula to our cohort, we found significantly impaired VAC in the early-onset PE group compared with the late-onset PE group and controls (Table 1). In addition, the two methods to calculate VAC correlated with each other (r = 0.465; P < 0.001). On the contrary, cfPWV/GLS was correlated more strongly with several vascular, biventricular and left atrial parameters than was Ea/Ees (Table 2). These data are consistent with those reported by Ikonomidis et al., who found that cfPWV/GLS, but not Ea/Ees, is related to impaired carotid intima–media thickness, coronary-flow reserve and LV diastolic dysfunction6. Larger studies are needed to validate this novel and promising parameter, which underlines the complex interplay between the heart and the vascular system. Our data reinforce that women with a history of PE represent a high-risk group and may benefit from closer follow-up. Data available on request from the authors.

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)0,002
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 enseignants0,003
Score d'incertitude au seuil0,009

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,003
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0030,002
Études des sciences et des technologies0,0000,000
Communication savante0,0010,001
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,001

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 Opus0,018
Tête enseignante GPT0,286
Écart entre enseignants0,268 · 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
Publié2021
Routes d'admission1
Résumé présentoui

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