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Association between PT, PT-INR, and in-hospital mortality in critically ill patients with tumors: A retrospective cohort study

OBJECTIVES: Prothrombin 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 tu...

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Autores principales: Liang, Jia-Dong, Qin, Zuo-An, Yang, Jin-Hao, Zhao, Chao-Fen, He, Qian-Yong, Shang, Kai, Li, Yu-Xin, Xu, Xin-Yu, Wang, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10070679/
https://www.ncbi.nlm.nih.gov/pubmed/37026132
http://dx.doi.org/10.3389/fpubh.2023.1036463
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author Liang, Jia-Dong
Qin, Zuo-An
Yang, Jin-Hao
Zhao, Chao-Fen
He, Qian-Yong
Shang, Kai
Li, Yu-Xin
Xu, Xin-Yu
Wang, Yan
author_facet Liang, Jia-Dong
Qin, Zuo-An
Yang, Jin-Hao
Zhao, Chao-Fen
He, Qian-Yong
Shang, Kai
Li, Yu-Xin
Xu, Xin-Yu
Wang, Yan
author_sort Liang, Jia-Dong
collection PubMed
description OBJECTIVES: Prothrombin 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. DESIGN: This was a case–control study based on a multicenter public database. SETTINGS: This study is a secondary analysis of data extracted from 2014 to 2015 from the Electronic Intensive Care Unit Collaborative Research Database. PARTICIPANTS: The 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 MEASURES: The key evaluation methodology was the PT count and PT-INR, and the main outcome was the in-hospital mortality rate. RESULTS: After 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). CONCLUSION: Our 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.
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spelling pubmed-100706792023-04-05 Association between PT, PT-INR, and in-hospital mortality in critically ill patients with tumors: A retrospective cohort study Liang, Jia-Dong Qin, Zuo-An Yang, Jin-Hao Zhao, Chao-Fen He, Qian-Yong Shang, Kai Li, Yu-Xin Xu, Xin-Yu Wang, Yan Front Public Health Public Health OBJECTIVES: Prothrombin 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. DESIGN: This was a case–control study based on a multicenter public database. SETTINGS: This study is a secondary analysis of data extracted from 2014 to 2015 from the Electronic Intensive Care Unit Collaborative Research Database. PARTICIPANTS: The 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 MEASURES: The key evaluation methodology was the PT count and PT-INR, and the main outcome was the in-hospital mortality rate. RESULTS: After 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). CONCLUSION: Our 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. Frontiers Media S.A. 2023-03-21 /pmc/articles/PMC10070679/ /pubmed/37026132 http://dx.doi.org/10.3389/fpubh.2023.1036463 Text en Copyright © 2023 Liang, Qin, Yang, Zhao, He, Shang, Li, Xu and Wang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Liang, Jia-Dong
Qin, Zuo-An
Yang, Jin-Hao
Zhao, Chao-Fen
He, Qian-Yong
Shang, Kai
Li, Yu-Xin
Xu, Xin-Yu
Wang, Yan
Association between PT, PT-INR, and in-hospital mortality in critically ill patients with tumors: A retrospective cohort study
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 Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10070679/
https://www.ncbi.nlm.nih.gov/pubmed/37026132
http://dx.doi.org/10.3389/fpubh.2023.1036463
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