Cargando…
The Hemoglobin-to-Red Cell Distribution Width Ratio to Predict All-Cause Mortality in Patients with Sepsis-Associated Encephalopathy in the MIMIC-IV Database
OBJECTIVE: The hemoglobin-to-red cell distribution width ratio (HRR) is associated with the prognosis of sepsis-associated encephalopathy (SAE). This study aimed to determine the relationship between HRR and SAE and to clarify the possible mechanism of HRR as a prognostic factor for SAE. METHODS: A...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825232/ https://www.ncbi.nlm.nih.gov/pubmed/36683597 http://dx.doi.org/10.1155/2022/7141216 |
_version_ | 1784866594262876160 |
---|---|
author | Huang, Xiaxuan Yuan, Shiqi Ling, Yitong Tan, Shanyuan Huang, Tao Cheng, Hongtao Lyu, Jun |
author_facet | Huang, Xiaxuan Yuan, Shiqi Ling, Yitong Tan, Shanyuan Huang, Tao Cheng, Hongtao Lyu, Jun |
author_sort | Huang, Xiaxuan |
collection | PubMed |
description | OBJECTIVE: The hemoglobin-to-red cell distribution width ratio (HRR) is associated with the prognosis of sepsis-associated encephalopathy (SAE). This study aimed to determine the relationship between HRR and SAE and to clarify the possible mechanism of HRR as a prognostic factor for SAE. METHODS: A multivariate Cox proportional-hazards regression model was used to assess the correlation between HRR and all-cause mortality. Piecewise linear regression and smooth-curve Cox proportional-hazards regression models were used to observe whether there was a nonlinear relationship between HRR and all-cause mortality in SAE. RESULTS: This study included 8853 patients with SAE. A nonlinear relationship between HRR and SAE was observed through a two-segment regression model. The left inflection point for the HRR threshold was calculated to be 15.54, which was negatively correlated with all-cause mortality (HR = 0.83, 95% CI = 0.76–0.91, p < 0.001). Subgroup analyses revealed significant interactions between white blood cell count, glucose, and patients who received dialysis and HRR. The inverse correlation between HRR and SAE was more pronounced in patients who did not receive vasopressin (HR = 0.91, 95% CI = 0.87–0.96, p < 0.001) than in those who did receive vasopressin (HR = 0.94, 95% CI = 0.88–1.02, p=0.152) and was significantly more pronounced in patients without myocardial infarction (HR = 0.91, 95% CI = 0.88–0.96, p < 0.001) than in those with myocardial infarction (HR = 0.94, 95% CI = 0.87–1.02, p < 0.114). CONCLUSION: This large retrospective study found a nonlinear relationship between all-cause mortality and HRR in patients with SAE in intensive care units, with low HRR being inversely associated with increased all-cause mortality in patients with SAE. |
format | Online Article Text |
id | pubmed-9825232 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-98252322023-01-19 The Hemoglobin-to-Red Cell Distribution Width Ratio to Predict All-Cause Mortality in Patients with Sepsis-Associated Encephalopathy in the MIMIC-IV Database Huang, Xiaxuan Yuan, Shiqi Ling, Yitong Tan, Shanyuan Huang, Tao Cheng, Hongtao Lyu, Jun Int J Clin Pract Research Article OBJECTIVE: The hemoglobin-to-red cell distribution width ratio (HRR) is associated with the prognosis of sepsis-associated encephalopathy (SAE). This study aimed to determine the relationship between HRR and SAE and to clarify the possible mechanism of HRR as a prognostic factor for SAE. METHODS: A multivariate Cox proportional-hazards regression model was used to assess the correlation between HRR and all-cause mortality. Piecewise linear regression and smooth-curve Cox proportional-hazards regression models were used to observe whether there was a nonlinear relationship between HRR and all-cause mortality in SAE. RESULTS: This study included 8853 patients with SAE. A nonlinear relationship between HRR and SAE was observed through a two-segment regression model. The left inflection point for the HRR threshold was calculated to be 15.54, which was negatively correlated with all-cause mortality (HR = 0.83, 95% CI = 0.76–0.91, p < 0.001). Subgroup analyses revealed significant interactions between white blood cell count, glucose, and patients who received dialysis and HRR. The inverse correlation between HRR and SAE was more pronounced in patients who did not receive vasopressin (HR = 0.91, 95% CI = 0.87–0.96, p < 0.001) than in those who did receive vasopressin (HR = 0.94, 95% CI = 0.88–1.02, p=0.152) and was significantly more pronounced in patients without myocardial infarction (HR = 0.91, 95% CI = 0.88–0.96, p < 0.001) than in those with myocardial infarction (HR = 0.94, 95% CI = 0.87–1.02, p < 0.114). CONCLUSION: This large retrospective study found a nonlinear relationship between all-cause mortality and HRR in patients with SAE in intensive care units, with low HRR being inversely associated with increased all-cause mortality in patients with SAE. Hindawi 2022-12-31 /pmc/articles/PMC9825232/ /pubmed/36683597 http://dx.doi.org/10.1155/2022/7141216 Text en Copyright © 2022 Xiaxuan Huang et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Huang, Xiaxuan Yuan, Shiqi Ling, Yitong Tan, Shanyuan Huang, Tao Cheng, Hongtao Lyu, Jun The Hemoglobin-to-Red Cell Distribution Width Ratio to Predict All-Cause Mortality in Patients with Sepsis-Associated Encephalopathy in the MIMIC-IV Database |
title | The Hemoglobin-to-Red Cell Distribution Width Ratio to Predict All-Cause Mortality in Patients with Sepsis-Associated Encephalopathy in the MIMIC-IV Database |
title_full | The Hemoglobin-to-Red Cell Distribution Width Ratio to Predict All-Cause Mortality in Patients with Sepsis-Associated Encephalopathy in the MIMIC-IV Database |
title_fullStr | The Hemoglobin-to-Red Cell Distribution Width Ratio to Predict All-Cause Mortality in Patients with Sepsis-Associated Encephalopathy in the MIMIC-IV Database |
title_full_unstemmed | The Hemoglobin-to-Red Cell Distribution Width Ratio to Predict All-Cause Mortality in Patients with Sepsis-Associated Encephalopathy in the MIMIC-IV Database |
title_short | The Hemoglobin-to-Red Cell Distribution Width Ratio to Predict All-Cause Mortality in Patients with Sepsis-Associated Encephalopathy in the MIMIC-IV Database |
title_sort | hemoglobin-to-red cell distribution width ratio to predict all-cause mortality in patients with sepsis-associated encephalopathy in the mimic-iv database |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825232/ https://www.ncbi.nlm.nih.gov/pubmed/36683597 http://dx.doi.org/10.1155/2022/7141216 |
work_keys_str_mv | AT huangxiaxuan thehemoglobintoredcelldistributionwidthratiotopredictallcausemortalityinpatientswithsepsisassociatedencephalopathyinthemimicivdatabase AT yuanshiqi thehemoglobintoredcelldistributionwidthratiotopredictallcausemortalityinpatientswithsepsisassociatedencephalopathyinthemimicivdatabase AT lingyitong thehemoglobintoredcelldistributionwidthratiotopredictallcausemortalityinpatientswithsepsisassociatedencephalopathyinthemimicivdatabase AT tanshanyuan thehemoglobintoredcelldistributionwidthratiotopredictallcausemortalityinpatientswithsepsisassociatedencephalopathyinthemimicivdatabase AT huangtao thehemoglobintoredcelldistributionwidthratiotopredictallcausemortalityinpatientswithsepsisassociatedencephalopathyinthemimicivdatabase AT chenghongtao thehemoglobintoredcelldistributionwidthratiotopredictallcausemortalityinpatientswithsepsisassociatedencephalopathyinthemimicivdatabase AT lyujun thehemoglobintoredcelldistributionwidthratiotopredictallcausemortalityinpatientswithsepsisassociatedencephalopathyinthemimicivdatabase AT huangxiaxuan hemoglobintoredcelldistributionwidthratiotopredictallcausemortalityinpatientswithsepsisassociatedencephalopathyinthemimicivdatabase AT yuanshiqi hemoglobintoredcelldistributionwidthratiotopredictallcausemortalityinpatientswithsepsisassociatedencephalopathyinthemimicivdatabase AT lingyitong hemoglobintoredcelldistributionwidthratiotopredictallcausemortalityinpatientswithsepsisassociatedencephalopathyinthemimicivdatabase AT tanshanyuan hemoglobintoredcelldistributionwidthratiotopredictallcausemortalityinpatientswithsepsisassociatedencephalopathyinthemimicivdatabase AT huangtao hemoglobintoredcelldistributionwidthratiotopredictallcausemortalityinpatientswithsepsisassociatedencephalopathyinthemimicivdatabase AT chenghongtao hemoglobintoredcelldistributionwidthratiotopredictallcausemortalityinpatientswithsepsisassociatedencephalopathyinthemimicivdatabase AT lyujun hemoglobintoredcelldistributionwidthratiotopredictallcausemortalityinpatientswithsepsisassociatedencephalopathyinthemimicivdatabase |