Thromboelastography Parameters as Predictors for Long-Term Survival in Critically Ill Patients
Thromboelastography (TEG) is used for monitoring abnormal blood coagulation in critically ill patients. However, the correlation between TEG parameters and long-term survival in these patients is unknown. We aimed to quantify the effect of TEG on long-term survival of critically ill patients. Critic...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2019-09-01
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| Series: | Clinical and Applied Thrombosis/Hemostasis |
| Online Access: | https://doi.org/10.1177/1076029619876028 |
| _version_ | 1828837592399872000 |
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| author | Cuizhu Luo MS Bingjie Zhuang MS Zhongqing Chen PhD |
| author_facet | Cuizhu Luo MS Bingjie Zhuang MS Zhongqing Chen PhD |
| author_sort | Cuizhu Luo MS |
| collection | DOAJ |
| description | Thromboelastography (TEG) is used for monitoring abnormal blood coagulation in critically ill patients. However, the correlation between TEG parameters and long-term survival in these patients is unknown. We aimed to quantify the effect of TEG on long-term survival of critically ill patients. Critically ill patients undergoing TEG were retrospectively examined. Baseline patient characteristics and coagulation function indexes were compared. Cox regression, receiver–operating characteristic curve analysis, and Kaplan-Meier survival estimate curve were performed. We included 167 critically ill patients. Clot formation speed (K) and reaction time (R) were higher, whereas maximum amplitude (MA) and angle were lower in the mortality group than in the survival group ( P < .01). All TEG parameters were risk factors for 2-year survival in critically ill patients ( P < .01). The area under the curve of MA for predicting 2-year survival was 0.756 (95% confidence interval: 0.670-0.841). The Kaplan-Meier survival estimate curve analysis showed that MA predicted 2-year survival of critically ill patients( P < .01). Maximum amplitude can effectively predict 2-year survival of critically ill patients, indicating the influence of the coagulation system on these patients. |
| first_indexed | 2024-12-12T18:45:30Z |
| format | Article |
| id | doaj.art-78da9e848e1644fd8e300c942fba22a5 |
| institution | Directory Open Access Journal |
| issn | 1938-2723 |
| language | English |
| last_indexed | 2024-12-12T18:45:30Z |
| publishDate | 2019-09-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Clinical and Applied Thrombosis/Hemostasis |
| spelling | doaj.art-78da9e848e1644fd8e300c942fba22a52022-12-22T00:15:33ZengSAGE PublishingClinical and Applied Thrombosis/Hemostasis1938-27232019-09-012510.1177/1076029619876028Thromboelastography Parameters as Predictors for Long-Term Survival in Critically Ill PatientsCuizhu Luo MS0Bingjie Zhuang MS1Zhongqing Chen PhD2 Department of Critical Care Medicine, JiangXi PingXiang People’s Hospital, PingXiang, JiangXi, China Department of Critical Care Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China Department of Critical Care Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, ChinaThromboelastography (TEG) is used for monitoring abnormal blood coagulation in critically ill patients. However, the correlation between TEG parameters and long-term survival in these patients is unknown. We aimed to quantify the effect of TEG on long-term survival of critically ill patients. Critically ill patients undergoing TEG were retrospectively examined. Baseline patient characteristics and coagulation function indexes were compared. Cox regression, receiver–operating characteristic curve analysis, and Kaplan-Meier survival estimate curve were performed. We included 167 critically ill patients. Clot formation speed (K) and reaction time (R) were higher, whereas maximum amplitude (MA) and angle were lower in the mortality group than in the survival group ( P < .01). All TEG parameters were risk factors for 2-year survival in critically ill patients ( P < .01). The area under the curve of MA for predicting 2-year survival was 0.756 (95% confidence interval: 0.670-0.841). The Kaplan-Meier survival estimate curve analysis showed that MA predicted 2-year survival of critically ill patients( P < .01). Maximum amplitude can effectively predict 2-year survival of critically ill patients, indicating the influence of the coagulation system on these patients.https://doi.org/10.1177/1076029619876028 |
| spellingShingle | Cuizhu Luo MS Bingjie Zhuang MS Zhongqing Chen PhD Thromboelastography Parameters as Predictors for Long-Term Survival in Critically Ill Patients Clinical and Applied Thrombosis/Hemostasis |
| title | Thromboelastography Parameters as Predictors for Long-Term Survival in Critically Ill Patients |
| title_full | Thromboelastography Parameters as Predictors for Long-Term Survival in Critically Ill Patients |
| title_fullStr | Thromboelastography Parameters as Predictors for Long-Term Survival in Critically Ill Patients |
| title_full_unstemmed | Thromboelastography Parameters as Predictors for Long-Term Survival in Critically Ill Patients |
| title_short | Thromboelastography Parameters as Predictors for Long-Term Survival in Critically Ill Patients |
| title_sort | thromboelastography parameters as predictors for long term survival in critically ill patients |
| url | https://doi.org/10.1177/1076029619876028 |
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