Thromboelastometry and prediction of in-hospital mortality in neonates with sepsis

被引:3
|
作者
Sokou, Rozeta [1 ,9 ]
Tsantes, Andreas G. [2 ,3 ]
Lampridou, Maria [1 ]
Tsante, Konstantina A. [4 ]
Houhoula, Dimitra [5 ]
Piovani, Daniele [6 ,7 ]
Bonovas, Stefanos [6 ,7 ]
Boutsikou, Theodora [8 ]
Iliodromiti, Zoi [8 ]
Iacovidou, Nicoletta [8 ]
Tsantes, Argirios E. [4 ]
Konstantinidi, Aikaterini [1 ]
机构
[1] Agios Panteleimon Gen Hosp Nikea, Neonatal Intens Care Unit, Piraeus, Greece
[2] Natl & Kapodistrian Univ Athens, Lab Haematol, Athens, Greece
[3] Natl & Kapodistrian Univ Athens, Attiko Hosp, Sch Med, Blood Bank Unit, Athens, Greece
[4] Univ West Attica, Sch Hlth & Caring Sci, Dept Biomed Sci, Lab Reliabil & Qual Control Lab Hematol, Athens, Greece
[5] Univ West Attica, Dept Food Sci & Technol, Egaleo, Greece
[6] Humanitas Univ, Dept Biomed Sci, Milan, Italy
[7] IRCCS Humanitas Res Hosp, Milan, Italy
[8] Natl & Kapodistrian Univ Athens, Aretaieio Hosp, Neonatal Dept, Athens, Greece
[9] Agios Panteleimon Gen Hosp Nikea, Neonatal Intens Care Unit, 3 D Mantouvalou St, Piraeus 18454, Greece
关键词
coagulopathy; hemostasis; neonatal mortality; neonatal sepsis; thromboelastometry;
D O I
10.1111/ijlh.14165
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Introduction: This study aimed at evaluating the role of rotational thromboelastometry (ROTEM) assays in the prediction of in-hospital mortality of neonates with sepsis. Methods: Over a 6-year period, 129 neonates with confirmed sepsis, hospitalized in our neonatal intensive care unit (NICU) were included in the study. Demographics, clinical, and laboratory data were recorded at the sepsis onset and ROTEM assays were performed. Modified neonatal multiple organ dysfunction (NEOMOD) and neonatal sequential organ failure assessment (nSOFA) were calculated simultaneously. Mortality during in-hospital stay was the main outcome measure. Results: In-hospital mortality was associated with patient intense hypocoagulability expressed by lower ROTEM MCF in the INTEM assay. The INTEM MCF demonstrated the best prognostic performance for NICU mortality in septic neonates among the other ROTEM parameters but without statistical significance (area under the curve [AUC] = 0.731; 95% confidence interval [CI]: 0.593-0.869). Conclusion: Our results indicate that ROTEM INTEM MCF parameter has good predictive capacity for in-hospital mortality of septic neonates, similar to that of modified NEOMOD score, nSOFA score, and platelet count, highlighting the integral role of coagulation in sepsis pathophysiology. Hence, ROTEM could serve as a valuable monitoring tool to identify neonates at risk.
引用
收藏
页码:113 / 119
页数:7
相关论文
共 50 条
  • [21] Predictors of in-hospital mortality for sepsis patients in intensive care units
    Chen, Kun
    Gao, Chengwei
    Zhou, Qiuxiang
    Li, Wenfang
    Lin, Zhaofen
    [J]. INTERNATIONAL JOURNAL OF CLINICAL AND EXPERIMENTAL MEDICINE, 2016, 9 (02): : 4029 - 4034
  • [22] Interpretable Machine Learning to Optimize Early In-Hospital Mortality Prediction for Elderly Patients with Sepsis: A Discovery Study
    Ke X.
    Zhang F.
    Huang G.
    Wang A.
    [J]. Computational and Mathematical Methods in Medicine, 2022, 2022
  • [23] Comment on 'Early warning scores for sepsis identification and prediction of in-hospital mortality in adults with sepsis: A systematic review and meta-analysis'
    Yan, Long
    Wu, Lijuan
    [J]. JOURNAL OF CLINICAL NURSING, 2024,
  • [24] Association Between the New York Sepsis Care Mandate and In-Hospital Mortality for Pediatric Sepsis
    Evans, Idris V. R.
    Phillips, Gary S.
    Alpern, Elizabeth R.
    Angus, Derek C.
    Friedrich, Marcus E.
    Kissoon, Niranjan
    Lemeshow, Stanley
    Levy, Mitchell M.
    Parker, Margaret M.
    Terry, Kathleen M.
    Watson, R. Scott
    Weiss, Scott L.
    Zimmerman, Jerry
    Seymour, Christopher W.
    [J]. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2018, 320 (04): : 358 - 367
  • [25] A nomogram to predict in-hospital mortality of neonates admitted to the intensive care unit
    Huang, Xihua
    Liang, Zhenyu
    Tang Li
    Yu Lingna
    Wei Zhu
    Li, Huiyi
    [J]. INTERNATIONAL HEALTH, 2021, 13 (06): : 633 - 639
  • [26] A Model for Prediction of In-Hospital Mortality in Patients with Subarachnoid Hemorrhage
    Mourelo-Farina, Monica
    Pertega, Sonia
    Galeiras, Rita
    [J]. NEUROCRITICAL CARE, 2021, 34 (02) : 508 - 518
  • [27] Early Prediction of Posttraumatic In-hospital Mortality in Pediatric Patients
    Courville, Xan F.
    Koval, Kenneth J.
    Carney, Brian T.
    Spratt, Kevin F.
    [J]. JOURNAL OF PEDIATRIC ORTHOPAEDICS, 2009, 29 (05) : 439 - 444
  • [28] An Interpretable Neural Network for Prediction of Postoperative In-hospital Mortality
    Lee, Christine
    Samad, Muntaha
    Hofer, Ira
    Cannesson, Maxime
    Baldi, Pierre
    [J]. ANESTHESIA AND ANALGESIA, 2020, 130
  • [29] Prediction of in-hospital stroke mortality in critical care unit
    Ho, Wei-Min
    Lin, Jr-Rung
    Wang, Hui-Hsuan
    Liou, Chia-Wei
    Chang, Ku-Chou
    Lee, Jiann-Der
    Peng, Tsung-Yi
    Yang, Jen-Tsung
    Chang, Yeu-Jhy
    Chang, Chien-Hung
    Lee, Tsong-Hai
    [J]. SPRINGERPLUS, 2016, 5
  • [30] A Model for Prediction of In-Hospital Mortality in Patients with Subarachnoid Hemorrhage
    Mónica Mourelo-Fariña
    Sonia Pértega
    Rita Galeiras
    [J]. Neurocritical Care, 2021, 34 : 508 - 518