Literature DB >> 35860710

The Role of NEWS2 + Lactate + D-Dimer in Predicting Intensive Care Unit Admission and In-Hospital Mortality of COVID-19 Patients.

Kadir Küçükceran1, Mustafa Kürşat Ayrancı1, Zerrin Defne Dündar1, Muhammed İdris Keklik1, Hülya Vatansev2.   

Abstract

Background: We investigated the parameters of National Early Warning Score 2 (NEWS2) + lactate + D-dimer in predicting the intensive care unit (ICU) admission and in-hospital mortality in patients hospitalized with COVID-19.
Methods: Patients, who applied to the emergency department of a tertiary university hospital and were taken to the COVID-19 zone with suspected COVID-19 between March 2020 and June 2020, were retrospectively examined. In this study, 244 patients, who were hospitalized and had positive polymerase chain reaction test results, were included. NEWS2, lactate, and D-dimer levels of the patients were recorded. Patients were grouped by the states of in-hospital mortality and ICU admission.
Results: Of 244 patients who were included in the study, 122 (50%) were male, while their mean age was 53.76 ± 17.36 years. 28 (11.5%) patients were admitted to the ICU, while in-hospital mortality was seen in 14 (5.7%) patients. The levels of D-dimer, NEWS2, NEWS2 + lactate, NEWS2 + D-dimer, NEWS2 + lactate + D-dimer were statistically significantly higher in patients with in-hospital mortality and admitted to ICU ( p < 0.05). The area under the curve (AUC) values of D-dimer, lactate, NEWS2, NEWS2 + lactate, NEWS2 + D-dimer, NEWS2 + lactate + D-dimer in predicting ICU admission were as 0.745 (0.658-0.832), 0.589 (0.469-0.710), 0.760 (0.675-0.845), 0.774 (0.690-0.859), 0.776 (0.692-0.860), and 0.778 (0.694-0.862), respectively; while the AUC values of these parameters in predicting in-hospital mortality were found to be as 0.768 (0.671-0.865), 0.695 (0.563-0.827), 0.735 (0.634-0.836), 0.757 (0.647-0.867), 0.752 (0.656-0.848), and 0.764 (0.655-0.873), respectively. Conclusions: Compared to using the NEWS2 value alone, a combination of NEWS2, lactate, and D-dimer was found to be more valuable in predicting in-hospital mortality and ICU admission.

Entities:  

Keywords:  COVID-19 ; hospital mortality ; intensive care unit

Year:  2022        PMID: 35860710      PMCID: PMC9283119          DOI: 10.6705/j.jacme.202206_12(2).0003

Source DB:  PubMed          Journal:  J Acute Med        ISSN: 2211-5587


  22 in total

1.  Combined use of the National Early Warning Score and D-dimer levels to predict 30-day and 365-day mortality in medical patients.

Authors:  Christian H Nickel; John Kellett; Tim Cooksley; Roland Bingisser; Daniel P Henriksen; Mikkel Brabrand
Journal:  Resuscitation       Date:  2016-06-20       Impact factor: 5.262

2.  Lactate and NEWS-L are fair predictors of mortality in critically ill geriatric emergency department patients.

Authors:  Zerrin Defne Dundar; Sedat Kocak; Abdullah Sadik Girisgin
Journal:  Am J Emerg Med       Date:  2019-02-07       Impact factor: 2.469

3.  The ability of the National Early Warning Score (NEWS) to discriminate patients at risk of early cardiac arrest, unanticipated intensive care unit admission, and death.

Authors:  Gary B Smith; David R Prytherch; Paul Meredith; Paul E Schmidt; Peter I Featherstone
Journal:  Resuscitation       Date:  2013-01-04       Impact factor: 5.262

4.  Predictive value of National Early Warning Score 2 (NEWS2) for intensive care unit admission in patients with SARS-CoV-2 infection.

Authors:  Anna Gidari; Giuseppe Vittorio De Socio; Samuele Sabbatini; Daniela Francisci
Journal:  Infect Dis (Lond)       Date:  2020-06-25

Review 5.  The stimulation of thrombosis by hypoxia.

Authors:  Neha Gupta; You-Yang Zhao; Colin E Evans
Journal:  Thromb Res       Date:  2019-07-15       Impact factor: 3.944

6.  Predictive value of the National Early Warning Score-Lactate for mortality and the need for critical care among general emergency department patients.

Authors:  Sion Jo; Jaechol Yoon; Jae Baek Lee; Youngho Jin; Taeoh Jeong; Boyoung Park
Journal:  J Crit Care       Date:  2016-06-29       Impact factor: 3.425

7.  Clinical characteristics of 82 cases of death from COVID-19.

Authors:  Bicheng Zhang; Xiaoyang Zhou; Yanru Qiu; Yuxiao Song; Fan Feng; Jia Feng; Qibin Song; Qingzhu Jia; Jun Wang
Journal:  PLoS One       Date:  2020-07-09       Impact factor: 3.240

8.  Don't take vitals, take a lactate.

Authors:  Jan Bakker; Tim C Jansen
Journal:  Intensive Care Med       Date:  2007-07-06       Impact factor: 17.440

9.  D-dimer levels on admission to predict in-hospital mortality in patients with Covid-19.

Authors:  Litao Zhang; Xinsheng Yan; Qingkun Fan; Haiyan Liu; Xintian Liu; Zejin Liu; Zhenlu Zhang
Journal:  J Thromb Haemost       Date:  2020-06       Impact factor: 16.036

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