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Enregistrement W2306855400 · doi:10.1182/blood.v122.21.989.989

Characterization Of Pulmonary Compliance In Sickle Cell Patients Revealed Wide Variability

2013· article· en· W2306855400 sur OpenAlexaff
Hira Mian, Kevin H.M. Kuo, Vicki N. Wang, Richard Ward, Susanna Mak

Notice bibliographique

RevueBlood · 2013
Typearticle
Langueen
DomaineMedicine
ThématiqueHemoglobinopathies and Related Disorders
Établissements canadiensMount Sinai HospitalUniversity Health NetworkUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésMedicinePulmonary hypertensionInternal medicineCardiologyVascular resistanceAfterloadVentricleHemodynamicsCohortRegurgitation (circulation)

Résumé

récupéré en direct d'OpenAlex

Abstract Abnormalities of pulmonary circulation as a complication of sickle cell disease (SCD) have gained considerable attention recently. Recent studies have indicated that a tricuspid regurgitation velocity (TRV) of greater than 2.5 m/s is associated with a higher risk for early mortality, but has a poor predictive value for pulmonary hypertension (PH). In patients who do develop PH, focus has been on identifying abnormal increases in pulmonary vascular resistance (PVR) and its afterload effect on the right ventricle (RV). However, this is a relatively late finding in any pulmonary vasculopathy, and is an even more uncommon finding in SCD. Pulmonary compliance (Cp) is another physiologic parameter that indexes the pulsatile load of the RV, and is also an important contributor to RV afterload. It is thought that although Cp-PVR coupling remains constant due to the intrinsic properties of pulmonary vasculature, a decrease in Cp may be observed prior to any increase in PVR during the early development of PH. The objective of this study was to examine the range of Cp in a SCD cohort with an elevated TRV and the relationship of Cp to other hemodynamic and clinical characteristics. A retrospective observational cohort study was conducted consisting of 22 adult consecutive SCD patients (HbSS, HbS/β0thalassemia, HbSC) with a RV systolic pressure of greater than 40 mmHg, TRV of ≥ 2.8 m/s or symptoms/signs of heart failure who underwent right heart catheterization between January 2009 and July 2012. Eight age- and gender-matched normal controls (healthy patients with no PH) and eleven PAH controls (patients with known non-SCD pulmonary arterial hypertension) were also included. Cp was calculated as stroke volume (SV) divided by pulmonary artery pulse pressure (PP). PVR was calculated as mean pulmonary artery pressure (mPAP) minus mean pulmonary capillary wedge pressure (PCWP mean) divided by cardiac output x 80. PH was defined as having a mPAP ≥ 25 mmHg. Patients were further classified as pulmonary arterial hypertension (pre-capillary PH) if PCWP mean was ≤ 15 mmHg and pulmonary venous hypertension (post-capillary PH) if PCWP mean was > 15 mmHg. The SCD population without PH was divided a prioriinto two groups based on the median Cp: Low Cp (Cp < 7) and High (Cp ≥ 7) with 10 subjects in each group. In our cohort, as anticipated, there was a low prevalence of patients who met the formal criteria of PH (2/22, 9%). SCD patients, regardless of the PH diagnosis, were found to have an overall higher and wider distribution of Cp value when compared to normal and PAH control groups (6.8 ± 2.6 vs. 4.7 ± 1.6 vs. 1.4 ± 0.6 mL/mmHg in the SCD, normal cohort and PAH control group respectively P < 0.001, Figure 1). Subgroup analysis of High and Low Cp groups without PH revealed no differences in baseline characteristics (age, body mass index, genotype, hydroxyurea use), laboratory values (hemoglobin, fetal hemoglobin fraction, reticulocyte count, total bilirubin and creatinine) or sickle cell-related complications (frequency of acute chest syndrome, leg ulcers, priapism, painful vaso-occlusive crises). The following hemodynamic variables were found to be different between the High Cp and Low Cp group respectively: mean RA pressure (1.8 ± 2.1 vs. 4.9 ± 3.1 mmHg, P = 0.0175), mPAP (12.3 ± 2.1 vs. 17.5 ± 5.3 mmHg, P = 0.0095), PCWP mean (6.3 ± 2.5 vs. 10.4 ± 4.9 mmHg, P = 0.0321) and PP (13.0 ± 2.6 vs. 21.3 ± 7.6 mmHg, P = 0.0044). The Cp-PVR coupling demonstrated in the wider PH literature was preserved in our cohort with non-PH SCD patients distributed largely along left upper corner of the curve with higher Cp values and the PH SCD patients in the left lower corner (Figure 2). In summary, we have shown that pulmonary compliance in our cohort of SCD patients is higher and has a greater variation than age- and gender-matched normal healthy and PAH controls. Furthermore, regardless of the PH status, SCD patients with elevated TRV lie along a continuum of Cp-PVR curve demonstrating the wide range of hemodynamic derangements and effect on RV load. Cp may provide an alternative model for understanding these early hemodynamic changes in the right ventricular-pulmonary arterial circulatory unit in SCD patients and warrants further exploration.Figure 1Pulmonary Compliance (Cp) of SCD patients in comparison to age and gender matched normal and PAH controlsFigure 1. Pulmonary Compliance (Cp) of SCD patients in comparison to age and gender matched normal and PAH controlsFigure 2Pulmonary Compliance (Cp) and Pulmonary Vascular Resistance (PVR) coupling in SCD, normal and PAH control patientsFigure 2. Pulmonary Compliance (Cp) and Pulmonary Vascular Resistance (PVR) coupling in SCD, normal and PAH control patients Disclosures: No relevant conflicts of interest to declare.

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)0,001
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 enseignants0,001
Score d'incertitude au seuil0,003

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
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)0,0010,000

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 Opus0,007
Tête enseignante GPT0,204
Écart entre enseignants0,196 · 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
Publié2013
Routes d'admission1
Résumé présentoui

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