دورية أكاديمية

Kinetics of mean platelet volume predicts mortality in patients with septic shock

التفاصيل البيبلوغرافية
العنوان: Kinetics of mean platelet volume predicts mortality in patients with septic shock
المؤلفون: Vardon-Bounes, Fanny, Gratacap, Marie-Pierre, Groyer, Samuel, Ruiz, Stéphanie, Georges, Bernard, Seguin, Thierry, Garcia, Cédric, Payrastre, Bernard, Conil, Jean-Marie, Minville, Vincent
المساهمون: Pôle Anesthésie Réanimation CHU de Toulouse, Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), Production et fonctions plaquettaires, signalisation et phosphoinositides (Equipe 11), Institut des Maladies Métaboliques et Cardiovasculaires (I2MC), Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM), Laboratoire Hématologie - IFB CHU Toulouse, Institut Fédératif de Biologie (IFB), Centre Hospitalier Universitaire de Toulouse (CHU Toulouse)-Centre Hospitalier Universitaire de Toulouse (CHU Toulouse)-Pôle Biologie CHU Toulouse
المصدر: ISSN: 1932-6203.
بيانات النشر: HAL CCSD
Public Library of Science
سنة النشر: 2019
المجموعة: Université Toulouse III - Paul Sabatier: HAL-UPS
مصطلحات موضوعية: [SDV.MHEP.HEM]Life Sciences [q-bio]/Human health and pathology/Hematology, [SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseases, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie
الوصف: International audience ; INTRODUCTION:Thrombocytopenia is well recognized as a poor prognosis sign associated with increased mortality and prolonged Intensive Care Unit (ICU) stay, particularly in septic patients. Mean platelet volume (MPV) could represent a relevant predictive marker of mortality. Here we investigated whether MPV kinetics during the first 15 days after hospital admission has a potential prognostic value for clinical outcome in septic shock.METHODS:We performed a retrospectively analysis of a cohort of 301 septic patients admitted in ICU. Three-month mortality was the primary endpoint. The prognostic value of the covariates of interest was ascertained by multidimensional analysis. We proposed a classification and regression trees analysis to predict survival probability.RESULTS:MPV kinetics was significantly different between 90-day survivors and non-survivors when followed during 15 days (except on day 3). 10-day MPV >11.6fL was an independent predictive factor of 90-day mortality (Hazard Ratio (HR) 3.796, 95% Confidence Interval (CI) [1.96-7.35], p = 0.0001) in multivariate analysis. Base excess on day 4 <1.9mmol/L was also a predictive factor of mortality (HR 2.972, 95%CI [1.38-6.40], p = 0.0054.CONCLUSION:MPV increase during the first 15 days after ICU admission in non-survivors was observed during septic shock and 10-day MPV >11.6fL was an independent predictive factor of 90-day mortality. This could be explained by the emergent response to acute platelet loss during septic shock, leading to megakaryocyte rupture to produce new but potentially immature platelets in the circulation. Therefore, continuous monitoring of MPV may be a useful parameter to stratify mortality risk in septic shock.
نوع الوثيقة: article in journal/newspaper
اللغة: English
العلاقة: info:eu-repo/semantics/altIdentifier/pmid/31622365; inserm-02421294; https://inserm.hal.science/inserm-02421294Test; https://inserm.hal.science/inserm-02421294/documentTest; https://inserm.hal.science/inserm-02421294/file/journal.pone.0223553.pdfTest; PUBMED: 31622365; PUBMEDCENTRAL: PMC6797099
DOI: 10.1371/journal.pone.0223553
الإتاحة: https://doi.org/10.1371/journal.pone.0223553Test
https://inserm.hal.science/inserm-02421294Test
https://inserm.hal.science/inserm-02421294/documentTest
https://inserm.hal.science/inserm-02421294/file/journal.pone.0223553.pdfTest
حقوق: info:eu-repo/semantics/OpenAccess
رقم الانضمام: edsbas.7C7D6150
قاعدة البيانات: BASE