Initial Clinical Presentation and Predictors of Thrombotic Thrombocytopenic Purpura in Quebec
Notice bibliographique
Résumé
Abstract Thrombotic microangiopathies (TMA) constitute a group of life-threatening diseases of different aetiologies characterized by similar symptoms. The compilation of comprehensive data related to the initial clinical presentation of TMA is challenging due to their rare occurrence. The objective of this study was to assess and determine the predictive value of the clinical presentation of patients with a suspected TMA episode, subsequently confirmed as thrombotic thrombocytopenic purpura (TTP), compared with non-TTP TMA by taking advantage of the centralized ADAMTS-13 testing in Quebec. All ADAMTS-13 activity and antibody titration were performed at CHU Saint-Justine (CHUSJ). Measurements and patient demographics (from April 2012 to December 2019) were extracted from the Laboratory Information System of the CHUSJ. Patients with presumed TMA were classified into TTP when ADAMTS-13 activity was ≤10%, or suspicion of TMA other than TTP (non-TTP TMA) when ADAMTS-13 activity was >10%. Clinical presentation was obtained through a survey form received with each plasma sample and containing information related to prior episodes of TMA, underlying conditions (pregnancy, cancer, infection, transplant, medication, other), clinical symptoms (fever, neurological signs, abdominal signs), and biological parameters (hemolytic anemia, thrombocytopenia). Statistical analyses were performed with IBM SPSS 26.0. The study was approved by the Research Ethics Committee of CHUSJ. A total of 2081 requests for ADAMTS13 testing were received during the study period, in 846 different individuals with suspected TMA: 147 patients (17%) had a confirmed TTP and 699 had a suspected non-TTP TMA. Clinical and biological characteristics associated with TMA suspicion were available for 105 TTP and 470 non-TTP TMA patients (68% of subjects). More than half of patients with TTP (55%; 48/87) had neurological signs at presentation compared to one third of patients (33%; 124/375) with non-TTP TMA (p=0.0001). There were no significant differences regarding fever and abdominal signs between the 2 groups (p=0.383 and p=0.355 respectively). Anemia and thrombocytopenia were reported in 92% (80/87) and 93% (86/92) of TTP patients compared to 74% (291/396) and 83% (352/426) of non-TTP TMA patients (p=0.0002 and p=0.009, respectively). Underlying conditions were reported in 62% (287/460) of non TTP-TMA patients compared to 35% (34/97) of TTP patients (p<0.0001). Kidney involvement was documented in 20% (91/460) of non-TTP TMA and 7% (7/98) of TTP (p=0.003). Transplantation tended to be more often reported in non-TTP TMA (11%;58/560 versus 4%;4/98 in TTP; p=0.079). Pregnancy or postpartum was found in 11% (29/267) of females with non-TTP TMA and 5% (3/57) of females with TTP (p=0.232). Infections were present in 15% (68/462) of non-TTP TMA and 14% (14/98) of TTP (p=0.912). Drug associated TMA was reported in 15% (70/461) of non-TTP TMA and 9 % (9/98) of TTP (p=0.123). Cancers were documented in 16% (74/462) of non-TTP TMA and 9% (9/98) of TTP (p=0.084). When addressing the odds of TPP according to the clinical presentation, patients with neurological signs were at higher risk to be diagnosed with TTP compared to those who did not have neurological signs (odds ratio, 2.52; IC95%, 1.51 to 4.20; p<0.001). Thirty percent of patients presenting with neurological signs had TTP compared to 14% presenting without neurological signs. Conversely, the risk to be diagnosed with TTP was lower in the setting of transplantation (odds ratio, 0.32; IC95%, 0.11 to 0.92; p=0.015). Indeed, among patients who have had a transplantation 7% were diagnosed with TTP, while 93% had non-TTP TMA. Finally, the risk of TPP was also lower in patients with TMA and concomitant kidney-related issue (OR=0.31; IC95%: 0.14 to 0.69; p=0.004) as among patients presenting with renal disorders, 93% were not subsequently diagnosed with TTP. In conclusion, the centralization of ADAMTS-13 activity testing in one reference center has enabled to determine the predictive value of clinical characteristics associated with TPP in comparison to other types of TMA for the entire province of Quebec, Canada. This study provides useful insight for caregivers and paves the way to the establishment of a provincial registry of TMA patients. Figure 1 Figure 1. Disclosures Lapeyraque: Alexion Pharmaceuticals Inc: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Rivard: Bayer Inc: Membership on an entity's Board of Directors or advisory committees, Research Funding; Octapharma Inc: Membership on an entity's Board of Directors or advisory committees; Pfizer Inc: Membership on an entity's Board of Directors or advisory committees, Research Funding; CSL Behring Inc.: Membership on an entity's Board of Directors or advisory committees, Research Funding; Novo Nordisk Inc: Membership on an entity's Board of Directors or advisory committees. Bonnefoy: Alexion Pharmaceuticals Inc: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Sanofi Genzyme Inc: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; CSL Behring Inc: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 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) | 0,001 | 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 tête enseignante, 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 ».