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Enregistrement W3176781225 · doi:10.1182/blood.v130.suppl_1.4207.4207

Platelet Function Tests and Inflammatory Markers for the Differentiation of Primary Thrombocytosis and Secondary Thrombocytosis

2017· article· en· W3176781225 sur OpenAlexaff
Piyapong Kanya, Ekarat Rattarittamrong, Ornkamon Wongtagan, Thanawat Rattanathammethee, Sasinee Hantrakool, Chatree Chai‐Adisaksopha, Adisak Tantiworawit, Lalita Norasetthada

Notice bibliographique

RevueBlood · 2017
Typearticle
Langueen
DomaineMedicine
ThématiqueMyeloproliferative Neoplasms: Diagnosis and Treatment
Établissements canadiensMcMaster University
Organismes subventionnairesnon disponible
Mots-clésThrombocytosisMedicinePlateletInternal medicineErythrocyte sedimentation rateGastroenterologyC-reactive proteinVon Willebrand factorImmunologyInflammation

Résumé

récupéré en direct d'OpenAlex

Abstract BACKGROUND Primary thrombocytosis (PT) that results from clonal bone marrow abnormality such as myeloproliferative neoplasm (MPN) can induce abnormal platelet function and acquired von Willebrand disease. Secondary thrombocytosis (ST) that may accompany inflammations, infections, malignancies, or stress is associated with elevated markers of the acute phase reactants, including C-reactive protein (CRP) and erythrocyte sedimentation rate (ESR). The aim of this study is to evaluate role of platelet function tests by light transmission platelet aggregometry (LTA), plasma von Willebrand factor antigen (vWF:Ag), ristocetin cofactor activity (vWF:RCo) and inflammatory markers (ESR, CRP) for the differentiation of PT and ST. METHODS This was a prospective study in patients age 18 years or older with platelet counts higher than 450 x 109/L who admitted or attended the out-patient clinics in Chiang Mai University Hospital during November 2016 to June 2017. They were classified to PT from MPN according to WHO 2016 Classification and ST. Primary outcomes were sensitivity (Se) and specificity (Sp) of platelet function tests by LTA for the differentiation of PT and ST. Secondary outcomes were Se and Sp of ESR, CRP, vWF, and vWF:RCo for the differentiation of PT and ST as well as correlation between these markers and thrombohemorrhagic complications in patients with PT and ST. Categorical variables were compared using the Chi-squared test or Fisher exact test as appropriate. Continuous variables were compared by t-test or Wilcoxon rank-sum test (Mann-Whitney test). Level of significance was defined as p-value RESULTS There were 49 patients enrolled in the study, mean age was 50.26 ± 18.26 years. Twenty-four patients (49%) had PT including 13 chronic myeloid leukemia (54%), 9 essential thrombocythemia (38%), 1 primary myelofibrosis (4%), and 1 polycythemia vera (4%). Twenty-five patients (51%) had ST including 10 malignancies (40%), 8 chronic infections (32%), 4 post-splenectomy (16%), and 3 autoimmune diseases (12%). Mean platelet count was higher in PT compared with ST (1083.79 ± 469.46 x 109/L and 716.28 ± 200.01 x 109/L respectively, p = 0.006). There was no difference in age and sex between groups. Abnormal LTA induced by collagen, arachidonic acid (AA), and epinephrine (Epi) were significantly presented in PT compared with ST (29%, 25%, and 50% respectively in PT; and 0%, 0%, 3% respectively in ST; p = 0.004, 0.010, and 0.004 respectively). The Se and Sp of collagen vs. AA vs. Epi-induced abnormal platelet aggregation for the differentiation of PT from ST were Se of 29.2% vs. 25% vs. 50%, and Sp of 100% vs. 100% vs. 88%, respectively. Mean ESR and CRP were significantly higher in ST (ESR 51.08 ± 22.38 mm/hr and CRP 56 ± 61.74 mg/L) compared with PT (ESR 16.30 ± 18.17 mm/hr and CRP 17.39 ± 37.96 mg/L; p 48 mm/hr in the differentiation of ST from PT were 76% and 91.7%, respectively while Se and Sp of CRP > 14.8 mg/L were 60% and 83.3%, respectively. No significant difference in proportion of patients with low vWF:Ag between groups (8.3% in PT and 0% in ST; p = 0.141) whereas PT group had significant higher proportion of patients with low vWF:RCo (45.8% in PT and 12.0% in ST; p = 0.009). The Se and Sp of abnormal vWF:RCo to differentiation of PT from ST were 45.8% and 88%, respectively. Thrombohemorrhagic complications at the time of diagnosis was 21% in PT while no complication in ST (p = 0.006). Risk factors of thrombohemorrhagic complications were platelet counts more than 1,569.8 x 109/L (p = 0.03) and Epi-induced abnormal platelet aggregometry (p = 0.02). CONCLUSION Abnormal platelet function determined by LTA with collagen, AA, epinephrine had high specificity to differentiate between PT and ST. vWF:RCo, ESR and CRP levels might be helpful for the differentiation of PT and ST. PT has higher incidence of thrombohemorrhagic complication compare to ST and is correlated with high platelet counts and Epi-induced abnormal platelet aggregometry. Download : Download high-res image (243KB) Download : Download full-size image Figure 1 . 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)0,001
score de la tête « metaresearch » (Gemma)0,002
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 enseignants0,002
Score d'incertitude au seuil0,005

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
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 savante0,0010,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
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 Opus0,019
Tête enseignante GPT0,251
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 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
Publié2017
Routes d'admission1
Résumé présentoui

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