S'abonner

Early predictive value of platelet function for clinical outcome in sepsis - 05/05/22

Doi : 10.1016/j.jinf.2022.02.004 
Yan Cao a, Wenfeng Ma b, Zhengyu Liu c, d, Yanfang Pei a, Yimin Zhu e, Fang Chen e, Lianhong Zou e, Yu Jiang e, Xiehong Liu e, Jie Huang a, Weiwei Xiao a, , Xiaotong Han a,
a Department of Emergency, Hunan Provincial People's Hospital, The First Affiliated Hospital of Hunan Normal University, No.61 Western Jiefang Road, Changsha, Hunan 410005, China 
b Department of Emergency, The First Affiliated Hospital of Hunan Normal University, Hunan Provincial People's Hospital, Changsha, China 
c Department of Cardiology, Hunan Provincial People's Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha, China 
d Clinical Research Center for Heart Failure of Hunan Province, Hunan Provincial People's Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha, China 
e Institute of Emergency Medicine, Hunan Provincial Key Laboratory of Emergency and Critical Care Metabonomics, Hunan Provincial People's Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha, China 

Corresponding authors.

Highlights

Sepsis is a life-threatening disorder caused by a dysregulated host response to infection, and it is associated with organ dysfunction and high mortality. In this study, we shed new light on the potential benefits of monitoring platelet aggregation rate and platelet mitochondria parameters to assess the severity of sepsis and clinical outcome.
Platelet aggregation rate is an independent predictor for the probability of 28-day mortality in sepsis.
Impaired platelet mitochondrial activity affects platelet aggregation rate and correlates with the clinical outcome of sepsis.

Le texte complet de cet article est disponible en PDF.

Summary

Objective

Sepsis is the leading course of morbidity and mortality in critically ill patients. This study aimed to evaluate the predictive value of the platelet aggregation for mortality in patients with sepsis. In addition, the relationship between impaired mitochondria and the platelet aggregation was explored.

Method

This was a prospective, observational cohort study. The platelet aggregation rate in response to adenosine diphosphate (ADP) was assessed. The primary outcome was 28-day mortality. Platelet mitochondrial parameters, including adenosine triphosphate(ATP), mitochondrial membrane potential (MMP) and mitochondrial permeability transition pore (mPTP) opening, were measured. Platelet mitochondrial ultrastructure was observed using transmission electron microscopy.

Results

86 patients with 65 survivors and 21 non-survivors were enrolled. Platelets of non-survivors with sepsis were hyporesponsive to ADP, in terms of maximal aggregation rate (P < 0.001). Receiver operating characteristic curves analysis demonstrated that the AUC estimated 28-day mortality for platelet aggregation rate was 0.814. At the optimal cut-off value of 35.8% for platelet aggregation rate, the sensitivity was 86.2% and the specificity was 66.7%. Kaplan-Meier analysis showed that a platelet aggregation rate of less than 35.8% was associated closely with poor survival. After adjusting for lactate by Cox regression analysis, platelet aggregation rate was identified as an independent predictor for the probability of 28-day mortality. Compared with survivors, non-survivors showed a significant reduction in platelet ATP and MMP-index (both P < 0.001), and a remarkable increase in mPTP opening (P < 0.001). ATP and MMP-index were positively correlated with platelet aggregation rate (R square=0.75, R square=0.44, respectively).

Conclusion

Platelet aggregation rate could be an early predictive biomarker for mortality in sepsis. Impaired platelet mitochondrial activity affects platelet aggregation and correlates with the severity of sepsis.

Le texte complet de cet article est disponible en PDF.

Keywords : Platelet aggregation rate, Platelet mitochondria, Predictive value, Sepsis


Plan


© 2022  Publié par Elsevier Masson SAS.
Ajouter à ma bibliothèque Retirer de ma bibliothèque Imprimer
Export

    Export citations

  • Fichier

  • Contenu

Vol 84 - N° 5

P. 628-636 - mai 2022 Retour au numéro
Article précédent Article précédent
  • Socioeconomic functioning in patients with brain abscess – a nationwide, population-based cohort study in Denmark
  • Lars Haukali Omland, Jacob Bodilsen, Jannik Helweg-Larsen, Jens Otto Jarløv, Morten Ziebell, Svend Ellermann-Eriksen, Ulrik Stenz Justesen, Niels Frimodt-Møller, Niels Obel
| Article suivant Article suivant
  • Risk factors for infection and mortality caused by carbapenem-resistant Klebsiella pneumoniae: A large multicentre case–control and cohort study
  • Tao Lou, Xiaoxing Du, Ping Zhang, Qiucheng Shi, Xinhong Han, Peng Lan, Rushuang Yan, Huangdu Hu, Yanfei Wang, Xueqing Wu, Yan Jiang, Yunsong Yu

Bienvenue sur EM-consulte, la référence des professionnels de santé.
L’accès au texte intégral de cet article nécessite un abonnement.

Déjà abonné à cette revue ?

Mon compte


Plateformes Elsevier Masson

Déclaration CNIL

EM-CONSULTE.COM est déclaré à la CNIL, déclaration n° 1286925.

En application de la loi nº78-17 du 6 janvier 1978 relative à l'informatique, aux fichiers et aux libertés, vous disposez des droits d'opposition (art.26 de la loi), d'accès (art.34 à 38 de la loi), et de rectification (art.36 de la loi) des données vous concernant. Ainsi, vous pouvez exiger que soient rectifiées, complétées, clarifiées, mises à jour ou effacées les informations vous concernant qui sont inexactes, incomplètes, équivoques, périmées ou dont la collecte ou l'utilisation ou la conservation est interdite.
Les informations personnelles concernant les visiteurs de notre site, y compris leur identité, sont confidentielles.
Le responsable du site s'engage sur l'honneur à respecter les conditions légales de confidentialité applicables en France et à ne pas divulguer ces informations à des tiers.


Tout le contenu de ce site: Copyright © 2024 Elsevier, ses concédants de licence et ses contributeurs. Tout les droits sont réservés, y compris ceux relatifs à l'exploration de textes et de données, a la formation en IA et aux technologies similaires. Pour tout contenu en libre accès, les conditions de licence Creative Commons s'appliquent.