Cargando…

Cox-LASSO Analysis for Hospital Mortality in Patients With Sepsis Received Continuous Renal Replacement Therapy: A MIMIC-III Database Study

BACKGROUND: Sepsis remains the leading cause of mortality in-hospital in the intensive care unit (ICU). Continuous renal replacement therapy (CRRT) is recommended as an adjuvant therapy for hemodynamics management in patients with sepsis. The aim of this study was to develop an adaptive least absolu...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Chunxia, Zheng, Jianli, Wang, Jinxia, Zou, Lin, Zhang, Yucai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8866187/
https://www.ncbi.nlm.nih.gov/pubmed/35223879
http://dx.doi.org/10.3389/fmed.2021.778536
_version_ 1784655784024473600
author Wang, Chunxia
Zheng, Jianli
Wang, Jinxia
Zou, Lin
Zhang, Yucai
author_facet Wang, Chunxia
Zheng, Jianli
Wang, Jinxia
Zou, Lin
Zhang, Yucai
author_sort Wang, Chunxia
collection PubMed
description BACKGROUND: Sepsis remains the leading cause of mortality in-hospital in the intensive care unit (ICU). Continuous renal replacement therapy (CRRT) is recommended as an adjuvant therapy for hemodynamics management in patients with sepsis. The aim of this study was to develop an adaptive least absolute shrinkage and selection operator (LASSO) for the Cox regression model to predict the hospital mortality in patients with Sepsis-3.0 undergoing CRRT using Medical Information Martin Intensive Care (MIMIC)-III v1.4. METHODS: Patients who met the Sepsis-3.0 definition were identified using the MIMIC-III v1.4. Among them, patients who received CRRT during ICU hospitalization were included in this study. According to the survival status, patients were split into death or survival group. Adaptive LASSO for the Cox regression model was constructed by STATA software. At last, nomogram and Kaplan-Meier curves were drawn to validate the model. RESULTS: A total of 181 patients who met Sepsis 3.0 criteria received CRRT were included in the study, in which, there were 31 deaths and 150 survivals during hospitalization, respectively. The overall in-hospital mortality was 17.1%. According to the results of multivariate Cox-LASSO regression analysis, use of vasopressor, international normalized ratio (INR) ≥1.5, and quick sequential organ failure assessment (qSOFA) score were associated with hospital mortality in patients with sepsis who underwent CRRT, but lactate level, mechanical ventilation (MV) support, PaO(2)/FiO(2), platelet count, and indicators of acute kidney injury (AKI), such as blood urea nitrogen (BUN) and creatinine, were not independently associated with hospital mortality after adjusted by qSOFA. The risk nomogram and Kaplan-Meier curves verified that the use of vasopressor and INR ≥1.5 possess significant predictive value. CONCLUSIONS: Using the Cox-LASSO regression model, use of vasopressor, INR ≥1.5, and qSOFA score are found to be associated with hospital mortality in patients with Sepsis-3.0 who received CRRT. This finding may assist clinicians in tailoring precise management and therapy for these patients who underwent CRRT.
format Online
Article
Text
id pubmed-8866187
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-88661872022-02-25 Cox-LASSO Analysis for Hospital Mortality in Patients With Sepsis Received Continuous Renal Replacement Therapy: A MIMIC-III Database Study Wang, Chunxia Zheng, Jianli Wang, Jinxia Zou, Lin Zhang, Yucai Front Med (Lausanne) Medicine BACKGROUND: Sepsis remains the leading cause of mortality in-hospital in the intensive care unit (ICU). Continuous renal replacement therapy (CRRT) is recommended as an adjuvant therapy for hemodynamics management in patients with sepsis. The aim of this study was to develop an adaptive least absolute shrinkage and selection operator (LASSO) for the Cox regression model to predict the hospital mortality in patients with Sepsis-3.0 undergoing CRRT using Medical Information Martin Intensive Care (MIMIC)-III v1.4. METHODS: Patients who met the Sepsis-3.0 definition were identified using the MIMIC-III v1.4. Among them, patients who received CRRT during ICU hospitalization were included in this study. According to the survival status, patients were split into death or survival group. Adaptive LASSO for the Cox regression model was constructed by STATA software. At last, nomogram and Kaplan-Meier curves were drawn to validate the model. RESULTS: A total of 181 patients who met Sepsis 3.0 criteria received CRRT were included in the study, in which, there were 31 deaths and 150 survivals during hospitalization, respectively. The overall in-hospital mortality was 17.1%. According to the results of multivariate Cox-LASSO regression analysis, use of vasopressor, international normalized ratio (INR) ≥1.5, and quick sequential organ failure assessment (qSOFA) score were associated with hospital mortality in patients with sepsis who underwent CRRT, but lactate level, mechanical ventilation (MV) support, PaO(2)/FiO(2), platelet count, and indicators of acute kidney injury (AKI), such as blood urea nitrogen (BUN) and creatinine, were not independently associated with hospital mortality after adjusted by qSOFA. The risk nomogram and Kaplan-Meier curves verified that the use of vasopressor and INR ≥1.5 possess significant predictive value. CONCLUSIONS: Using the Cox-LASSO regression model, use of vasopressor, INR ≥1.5, and qSOFA score are found to be associated with hospital mortality in patients with Sepsis-3.0 who received CRRT. This finding may assist clinicians in tailoring precise management and therapy for these patients who underwent CRRT. Frontiers Media S.A. 2022-02-10 /pmc/articles/PMC8866187/ /pubmed/35223879 http://dx.doi.org/10.3389/fmed.2021.778536 Text en Copyright © 2022 Wang, Zheng, Wang, Zou and Zhang. 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 Medicine
Wang, Chunxia
Zheng, Jianli
Wang, Jinxia
Zou, Lin
Zhang, Yucai
Cox-LASSO Analysis for Hospital Mortality in Patients With Sepsis Received Continuous Renal Replacement Therapy: A MIMIC-III Database Study
title Cox-LASSO Analysis for Hospital Mortality in Patients With Sepsis Received Continuous Renal Replacement Therapy: A MIMIC-III Database Study
title_full Cox-LASSO Analysis for Hospital Mortality in Patients With Sepsis Received Continuous Renal Replacement Therapy: A MIMIC-III Database Study
title_fullStr Cox-LASSO Analysis for Hospital Mortality in Patients With Sepsis Received Continuous Renal Replacement Therapy: A MIMIC-III Database Study
title_full_unstemmed Cox-LASSO Analysis for Hospital Mortality in Patients With Sepsis Received Continuous Renal Replacement Therapy: A MIMIC-III Database Study
title_short Cox-LASSO Analysis for Hospital Mortality in Patients With Sepsis Received Continuous Renal Replacement Therapy: A MIMIC-III Database Study
title_sort cox-lasso analysis for hospital mortality in patients with sepsis received continuous renal replacement therapy: a mimic-iii database study
topic Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8866187/
https://www.ncbi.nlm.nih.gov/pubmed/35223879
http://dx.doi.org/10.3389/fmed.2021.778536
work_keys_str_mv AT wangchunxia coxlassoanalysisforhospitalmortalityinpatientswithsepsisreceivedcontinuousrenalreplacementtherapyamimiciiidatabasestudy
AT zhengjianli coxlassoanalysisforhospitalmortalityinpatientswithsepsisreceivedcontinuousrenalreplacementtherapyamimiciiidatabasestudy
AT wangjinxia coxlassoanalysisforhospitalmortalityinpatientswithsepsisreceivedcontinuousrenalreplacementtherapyamimiciiidatabasestudy
AT zoulin coxlassoanalysisforhospitalmortalityinpatientswithsepsisreceivedcontinuousrenalreplacementtherapyamimiciiidatabasestudy
AT zhangyucai coxlassoanalysisforhospitalmortalityinpatientswithsepsisreceivedcontinuousrenalreplacementtherapyamimiciiidatabasestudy