Platelet Function Tests and Inflammatory Markers for the Differentiation of Primary Thrombocytosis and Secondary Thrombocytosis
Notice bibliographique
Résumé
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».