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Sokou R, Georgiadou P, Tsantes AG, Parastatidou S, Konstantinidi A, Ioakeimidis G, Makrogianni A, Theodoraki M, Kokoris S, Iacovidou N, Kriebardis AG, Piovani D, Bonovas S, Tsantes AE. The Utility of NATEM Assay in Predicting Bleeding Risk in Critically Ill Neonates. Semin Thromb Hemost 2023; 49:182-191. [PMID: 36055275 DOI: 10.1055/s-0042-1753513] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
We aimed to investigate the hemostatic status of diseased neonates using nonactivated rotational thromboelastometry (ROTEM) assay (NATEM) assay and, in addition, to evaluate the discriminative power of NATEM parameters in predicting the risk of bleeding in critically ill neonates and compare it to that of EXTEM (extrinsically activated ROTEM) parameters. This cohort study included 158 consecutive, critically ill neonates with presumed sepsis, perinatal hypoxia, or respiratory distress syndrome. The EXTEM and NATEM assays were performed on the first day of disease onset. The neonatal bleeding assessment tool was used to record and assess clinical bleeding events on the day of ROTEM analysis. Several EXTEM and NATEM ROTEM parameters differed between neonates with and without clinical bleeding events, indicating a hypo-coagulable state in neonates with clinical bleeding. NATEM parameters had comparable predictive performance for clinical bleeding events with EXTEM parameters for clotting time, clot formation time (CFT), A10 (clot amplitude at 10minutes), maximum clot firmness, lysis index at 60minutes, and maximum clot elasticity (p>0.05). However, NATEM A20, A30, and α angle demonstrated better predictive ability than EXTEM A20, A30, and α angle, respectively (p<0.05). A NATEM CFT value ≥147seconds presented 95.2% sensitivity (95% confidence interval [CI]: 76.1-99.8%) and 65.6% specificity (95% CI: 57.1-73.5%) to detect neonates with clinical bleeding, while a NATEM A10 value ≤42mm had 80.8% sensitivity (95% CI: 71.8-85.9%) and 76.0% specificity (95% CI: 52.8-91.7%) to detect neonates with clinical bleeding events. The NATEM assay has shown remarkable sensitivity in predicting bleeding in critically ill neonates, exceeding EXTEM performance in some selected parameters. The incorporation of NATEM test parameters in predictive models for neonatal hemorrhage seems promising.
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Affiliation(s)
- Rozeta Sokou
- Neonatal Intensive Care Unit, "Agios Panteleimon" General Hospital of Nikea, Piraeus, Greece
| | - Petroula Georgiadou
- Neonatal Intensive Care Unit, "Agios Panteleimon" General Hospital of Nikea, Piraeus, Greece
| | - Andreas G Tsantes
- Laboratory of Haematology and Blood Bank Unit, "Attiko" Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Stavroula Parastatidou
- Neonatal Intensive Care Unit, "Agios Panteleimon" General Hospital of Nikea, Piraeus, Greece
| | | | - Georgios Ioakeimidis
- Neonatal Intensive Care Unit, "Agios Panteleimon" General Hospital of Nikea, Piraeus, Greece
| | - Athanasia Makrogianni
- Neonatal Intensive Care Unit, "Agios Panteleimon" General Hospital of Nikea, Piraeus, Greece
| | - Martha Theodoraki
- Neonatal Intensive Care Unit, "Agios Panteleimon" General Hospital of Nikea, Piraeus, Greece
| | - Styliani Kokoris
- Laboratory of Haematology and Blood Bank Unit, "Attiko" Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Nicoletta Iacovidou
- Neonatal Department, Aretaieio Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Anastasios G Kriebardis
- Laboratory of Reliability and Quality Control in Laboratory Hematology, Department of Biomedical Science, School of Health and Caring Science, University of West Attica, Egaleo, Athens, Greece
| | - Daniele Piovani
- Department of Biomedical Sciences, Humanitas University, Milan, Italy.,IRCCS Humanitas Research Hospital, Milan, Italy
| | - Stefanos Bonovas
- Department of Biomedical Sciences, Humanitas University, Milan, Italy.,IRCCS Humanitas Research Hospital, Milan, Italy
| | - Argirios E Tsantes
- Laboratory of Haematology and Blood Bank Unit, "Attiko" Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
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Pereira-Fantini PM, Byars SG, McCall KE, Perkins EJ, Oakley RB, Dellacà RL, Dargaville PA, Davis PG, Ignjatovic V, Tingay DG. Plasma proteomics reveals gestational age-specific responses to mechanical ventilation and identifies the mechanistic pathways that initiate preterm lung injury. Sci Rep 2018; 8:12616. [PMID: 30135517 PMCID: PMC6105628 DOI: 10.1038/s41598-018-30868-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2018] [Accepted: 08/02/2018] [Indexed: 12/15/2022] Open
Abstract
The preterm lung is particularly vulnerable to ventilator-induced lung injury (VILI) as a result of mechanical ventilation. However the developmental and pathological cellular mechanisms influencing the changing patterns of VILI have not been comprehensively delineated, preventing the advancement of targeted lung protective therapies. This study aimed to use SWATH-MS to comprehensively map the plasma proteome alterations associated with the initiation of VILI following 60 minutes of standardized mechanical ventilation from birth in three distinctly different developmental lung states; the extremely preterm, preterm and term lung using the ventilated lamb model. Across these gestations, 34 proteins were differentially altered in matched plasma samples taken at birth and 60 minutes. Multivariate analysis of the plasma proteomes confirmed a gestation-specific response to mechanical ventilation with 79% of differentially-expressed proteins altered in a single gestation group only. Six cellular and molecular functions and two physiological functions were uniquely enriched in either the extremely preterm or preterm group. Correlation analysis supported gestation-specific protein-function associations within each group. In identifying the gestation-specific proteome and functional responses to ventilation we provide the founding evidence required for the potential development of individualized respiratory support approaches tailored to both the developmental and pathological state of the lung.
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Affiliation(s)
- Prue M Pereira-Fantini
- Neonatal Research, Murdoch Childrens Research Institute, Parkville, Australia. .,Department of Paediatrics, University of Melbourne, Parkville, Australia.
| | - Sean G Byars
- Department of Pathology, University of Melbourne, Parkville, Australia.,Centre for Systems Genomics, University of Melbourne, Parkville, Australia
| | - Karen E McCall
- Neonatal Research, Murdoch Childrens Research Institute, Parkville, Australia.,University College Dublin, Dublin, Ireland
| | - Elizabeth J Perkins
- Neonatal Research, Murdoch Childrens Research Institute, Parkville, Australia
| | - Regina B Oakley
- Neonatal Research, Murdoch Childrens Research Institute, Parkville, Australia
| | - R L Dellacà
- Laboratorio di Tecnologie Biomediche, Dipartimento di Elettronica, Informazione e Ingegneria Biomedica-DEIB, Politecnico di Milano University, Milano, Italy
| | - Peter A Dargaville
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - Peter G Davis
- Neonatal Research, Murdoch Childrens Research Institute, Parkville, Australia.,The Royal Women's Hospital, Parkville, Australia.,Department of Obstetrics and Gynaecology, University of Melbourne, Parkville, Australia
| | - Vera Ignjatovic
- Department of Paediatrics, University of Melbourne, Parkville, Australia.,Haematology Research, Murdoch Childrens Research Institute, Parkville, Australia
| | - David G Tingay
- Neonatal Research, Murdoch Childrens Research Institute, Parkville, Australia.,Department of Paediatrics, University of Melbourne, Parkville, Australia.,Department of Neonatology, Royal Children's Hospital, Parkville, Australia
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