Association between PT, PT-INR, and in-hospital mortality in critically ill patients with tumors: A retrospective cohort study
ObjectivesProthrombin time (PT) and PT-INR are independent predictors of mortality in patients with cancer. The PT and PT-INR of cancer patients are independent predictive variables of mortality. However, whether the PT or PT-INR is related to in-hospital mortality in severely ill patients with tumo...
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Frontiers Media S.A.
2023-03-01
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| Series: | Frontiers in Public Health |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2023.1036463/full |
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| author | Jia-Dong Liang Zuo-An Qin Jin-Hao Yang Chao-Fen Zhao Chao-Fen Zhao Chao-Fen Zhao Qian-Yong He Qian-Yong He Qian-Yong He Kai Shang Yu-Xin Li Xin-Yu Xu Yan Wang |
| author_facet | Jia-Dong Liang Zuo-An Qin Jin-Hao Yang Chao-Fen Zhao Chao-Fen Zhao Chao-Fen Zhao Qian-Yong He Qian-Yong He Qian-Yong He Kai Shang Yu-Xin Li Xin-Yu Xu Yan Wang |
| author_sort | Jia-Dong Liang |
| collection | DOAJ |
| description | ObjectivesProthrombin time (PT) and PT-INR are independent predictors of mortality in patients with cancer. The PT and PT-INR of cancer patients are independent predictive variables of mortality. However, whether the PT or PT-INR is related to in-hospital mortality in severely ill patients with tumors remains unknown.DesignThis was a case–control study based on a multicenter public database.SettingsThis study is a secondary analysis of data extracted from 2014 to 2015 from the Electronic Intensive Care Unit Collaborative Research Database.ParticipantsThe data relevant to seriously ill patients with tumors were obtained from 208 hospitals spread throughout the USA. This research included a total of 200,859 participants. After the samples were screened for patients with combination malignancies and prolonged PT-INR or PT, the remaining 1745 and 1764 participants, respectively, were included in the final data analysis.Primary and secondary outcome measuresThe key evaluation methodology was the PT count and PT-INR, and the main outcome was the in-hospital mortality rate.ResultsAfter controlling for confounding variables, we found a curvilinear connection between PT-INR and in-hospital mortality (p < 0.001), and the inflection point was 2.5. When PT-INR was less than 2.5, an increase in PT-INR was positively associated with in-hospital mortality (OR 1.62, 95% CI 1.24 to 2.13), whereas when PT-INR was greater than 2.5, in-hospital mortality was relatively stable and higher than the baseline before the inflection point. Similarly, our study indicated that the PT exhibited a curvilinear connection with in-hospital mortality. On the left side of the inflection point (PT <22), a rise in the PT was positively linked with in-hospital mortality (OR 1.08, 95% CI 1.04 to 1.13, p < 0.001). On the right side of the inflection point, the baseline PT was above 22, and the in-hospital mortality was stable and higher than the PT count in the prior range (OR 1.01, 95% CI 0.97 to 1.04, 0.7056).ConclusionOur findings revealed that there is a curved rather than a linear link between the PT or PT-INR and in-hospital mortality in critically ill cancer patients. When these two laboratory results are below the inflection point, comprehensive therapy should be employed to reduce the count; when these two laboratory results are above the inflection point, every effort should be made to reduce the numerical value to a value below the inflection point. |
| first_indexed | 2024-04-09T23:31:52Z |
| format | Article |
| id | doaj.art-72ba699f369c4c139307298276c4797c |
| institution | Directory Open Access Journal |
| issn | 2296-2565 |
| language | English |
| last_indexed | 2024-04-09T23:31:52Z |
| publishDate | 2023-03-01 |
| publisher | Frontiers Media S.A. |
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| spelling | doaj.art-72ba699f369c4c139307298276c4797c2023-03-21T04:30:08ZengFrontiers Media S.A.Frontiers in Public Health2296-25652023-03-011110.3389/fpubh.2023.10364631036463Association between PT, PT-INR, and in-hospital mortality in critically ill patients with tumors: A retrospective cohort studyJia-Dong Liang0Zuo-An Qin1Jin-Hao Yang2Chao-Fen Zhao3Chao-Fen Zhao4Chao-Fen Zhao5Qian-Yong He6Qian-Yong He7Qian-Yong He8Kai Shang9Yu-Xin Li10Xin-Yu Xu11Yan Wang12Department of Breast Oncology, Sun Yat-sen University Cancer Center, Guangzhou, ChinaDepartment of Cardiology, The First People’s Hospital of Changde City, Changde, ChinaDepartment of Nasopharyngeal Carcinoma, Sun Yat-sen University Cancer Center, Guangzhou, ChinaDepartment of Oncology, Affiliated Hospital of Guizhou Medical University, Guiyang, ChinaDepartment of Oncology, Affiliated Cancer Hospital of Guizhou Medical University, Guiyang, ChinaDepartment of Oncology, School of Clinical Medicine, Guizhou Medical University, Guiyang, ChinaDepartment of Oncology, Affiliated Hospital of Guizhou Medical University, Guiyang, ChinaDepartment of Oncology, Affiliated Cancer Hospital of Guizhou Medical University, Guiyang, ChinaDepartment of Oncology, School of Clinical Medicine, Guizhou Medical University, Guiyang, ChinaDepartment of Oncology, School of Clinical Medicine, Guizhou Medical University, Guiyang, ChinaDepartment of Oncology, School of Clinical Medicine, Guizhou Medical University, Guiyang, ChinaDepartment of Oncology, School of Clinical Medicine, Guizhou Medical University, Guiyang, ChinaDepartment of Breast Oncology, Sun Yat-sen University Cancer Center, Guangzhou, ChinaObjectivesProthrombin time (PT) and PT-INR are independent predictors of mortality in patients with cancer. The PT and PT-INR of cancer patients are independent predictive variables of mortality. However, whether the PT or PT-INR is related to in-hospital mortality in severely ill patients with tumors remains unknown.DesignThis was a case–control study based on a multicenter public database.SettingsThis study is a secondary analysis of data extracted from 2014 to 2015 from the Electronic Intensive Care Unit Collaborative Research Database.ParticipantsThe data relevant to seriously ill patients with tumors were obtained from 208 hospitals spread throughout the USA. This research included a total of 200,859 participants. After the samples were screened for patients with combination malignancies and prolonged PT-INR or PT, the remaining 1745 and 1764 participants, respectively, were included in the final data analysis.Primary and secondary outcome measuresThe key evaluation methodology was the PT count and PT-INR, and the main outcome was the in-hospital mortality rate.ResultsAfter controlling for confounding variables, we found a curvilinear connection between PT-INR and in-hospital mortality (p < 0.001), and the inflection point was 2.5. When PT-INR was less than 2.5, an increase in PT-INR was positively associated with in-hospital mortality (OR 1.62, 95% CI 1.24 to 2.13), whereas when PT-INR was greater than 2.5, in-hospital mortality was relatively stable and higher than the baseline before the inflection point. Similarly, our study indicated that the PT exhibited a curvilinear connection with in-hospital mortality. On the left side of the inflection point (PT <22), a rise in the PT was positively linked with in-hospital mortality (OR 1.08, 95% CI 1.04 to 1.13, p < 0.001). On the right side of the inflection point, the baseline PT was above 22, and the in-hospital mortality was stable and higher than the PT count in the prior range (OR 1.01, 95% CI 0.97 to 1.04, 0.7056).ConclusionOur findings revealed that there is a curved rather than a linear link between the PT or PT-INR and in-hospital mortality in critically ill cancer patients. When these two laboratory results are below the inflection point, comprehensive therapy should be employed to reduce the count; when these two laboratory results are above the inflection point, every effort should be made to reduce the numerical value to a value below the inflection point.https://www.frontiersin.org/articles/10.3389/fpubh.2023.1036463/fullprothrombin timePT-INRin-hospital mortalitycancersintensive care unit |
| spellingShingle | Jia-Dong Liang Zuo-An Qin Jin-Hao Yang Chao-Fen Zhao Chao-Fen Zhao Chao-Fen Zhao Qian-Yong He Qian-Yong He Qian-Yong He Kai Shang Yu-Xin Li Xin-Yu Xu Yan Wang Association between PT, PT-INR, and in-hospital mortality in critically ill patients with tumors: A retrospective cohort study Frontiers in Public Health prothrombin time PT-INR in-hospital mortality cancers intensive care unit |
| title | Association between PT, PT-INR, and in-hospital mortality in critically ill patients with tumors: A retrospective cohort study |
| title_full | Association between PT, PT-INR, and in-hospital mortality in critically ill patients with tumors: A retrospective cohort study |
| title_fullStr | Association between PT, PT-INR, and in-hospital mortality in critically ill patients with tumors: A retrospective cohort study |
| title_full_unstemmed | Association between PT, PT-INR, and in-hospital mortality in critically ill patients with tumors: A retrospective cohort study |
| title_short | Association between PT, PT-INR, and in-hospital mortality in critically ill patients with tumors: A retrospective cohort study |
| title_sort | association between pt pt inr and in hospital mortality in critically ill patients with tumors a retrospective cohort study |
| topic | prothrombin time PT-INR in-hospital mortality cancers intensive care unit |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2023.1036463/full |
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