Kadir Küçükceran, Mustafa Kürşat Ayrancı, Zerrin Defne Dündar, Muhammed İdris Keklik, Hülya Vatansev
{"title":"NEWS2 + Lactate + D-Dimer 在预测 COVID-19 患者入住重症监护室和住院死亡率中的作用。","authors":"Kadir Küçükceran, Mustafa Kürşat Ayrancı, Zerrin Defne Dündar, Muhammed İdris Keklik, Hülya Vatansev","doi":"10.6705/j.jacme.202206_12(2).0003","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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 ( <i>p</i> < 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.</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":14846,"journal":{"name":"Journal of acute medicine","volume":"12 2","pages":"60-70"},"PeriodicalIF":0.8000,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9283119/pdf/jacme-12-2-03.pdf","citationCount":"0","resultStr":"{\"title\":\"The Role of NEWS2 + Lactate + D-Dimer in Predicting Intensive Care Unit Admission and In-Hospital Mortality of COVID-19 Patients.\",\"authors\":\"Kadir Küçükceran, Mustafa Kürşat Ayrancı, Zerrin Defne Dündar, Muhammed İdris Keklik, Hülya Vatansev\",\"doi\":\"10.6705/j.jacme.202206_12(2).0003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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 ( <i>p</i> < 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.</p><p><strong>Conclusions: </strong>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.</p>\",\"PeriodicalId\":14846,\"journal\":{\"name\":\"Journal of acute medicine\",\"volume\":\"12 2\",\"pages\":\"60-70\"},\"PeriodicalIF\":0.8000,\"publicationDate\":\"2022-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9283119/pdf/jacme-12-2-03.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of acute medicine\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.6705/j.jacme.202206_12(2).0003\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"EMERGENCY MEDICINE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of acute medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.6705/j.jacme.202206_12(2).0003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"EMERGENCY MEDICINE","Score":null,"Total":0}
The Role of NEWS2 + Lactate + D-Dimer in Predicting Intensive Care Unit Admission and In-Hospital Mortality of COVID-19 Patients.
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.