Cargando…

The correlation of hemoglobin and 28-day mortality in septic patients: secondary data mining using the MIMIC-IV database

BACKGROUND: Previous studies found minimal evidence and raised controversy about the link between hemoglobin and 28-day mortality in sepsis patients. As a result, the purpose of this study was to examine the association between hemoglobin and 28-day death in sepsis patients by analyzing the Medical...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Yu, Chen, Lu, Meng, Zengping, Li, Yi, Tang, Juan, Liu, Shaowen, Li, Li, Zhang, Peisheng, Chen, Qian, Liu, Yongmei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280861/
https://www.ncbi.nlm.nih.gov/pubmed/37340360
http://dx.doi.org/10.1186/s12879-023-08384-9
_version_ 1785060890397114368
author Chen, Yu
Chen, Lu
Meng, Zengping
Li, Yi
Tang, Juan
Liu, Shaowen
Li, Li
Zhang, Peisheng
Chen, Qian
Liu, Yongmei
author_facet Chen, Yu
Chen, Lu
Meng, Zengping
Li, Yi
Tang, Juan
Liu, Shaowen
Li, Li
Zhang, Peisheng
Chen, Qian
Liu, Yongmei
author_sort Chen, Yu
collection PubMed
description BACKGROUND: Previous studies found minimal evidence and raised controversy about the link between hemoglobin and 28-day mortality in sepsis patients. As a result, the purpose of this study was to examine the association between hemoglobin and 28-day death in sepsis patients by analyzing the Medical Intensive Care IV (MIMIC-IV) database from 2008 to 2019 at an advanced medical center in Boston, Massachusetts. METHODS: We extracted 34,916 sepsis patients from the MIMIC-IV retrospective cohort database, using hemoglobin as the exposure variable and 28-day death as the outcome variable, and after adjusting for confounders (demographic indicators, Charlson co-morbidity index, SOFA score, vital signs, medication use status (glucocorticoids, vasoactive drugs, antibiotics, and immunoglobulins, etc.)), we investigated the independent effects of hemoglobin and 28-day risk of death by binary logistic regression as well as two-piecewise linear model, respectively. RESULTS: Hemoglobin levels and 28-day mortality were shown to be non-linearly related.The inflection points were 104 g/L and 128 g/L, respectively. When HGB levels were between 41 and 104 g/L, there was a 10% decrease in the risk of 28-day mortality (OR: 0.90; 95% CI: 0.87 to 0.94, p-value = 0.0001). However, in the range of 104–128 g/L, we did not observe a significant association between hemoglobin and 28-day mortality (OR: 1.17; 95% CI: 1.00 to 1.35, P value = 0.0586). When HGB was in the range of 128–207 g/L, there was a 7% increase in the risk of 28-day mortality for every 1 unit increase in HGB (OR: 1.07; 95% CI: 1.01 to 1.15, P value = 0.0424). CONCLUSION: In patients with sepsis, baseline hemoglobin was related to a U-shaped risk of 28-day death. When HGB was in the range of 12.8–20.7 g/dL, there was a 7% increase in the risk of 28-day mortality for every 1 unit increase in HGB.
format Online
Article
Text
id pubmed-10280861
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-102808612023-06-21 The correlation of hemoglobin and 28-day mortality in septic patients: secondary data mining using the MIMIC-IV database Chen, Yu Chen, Lu Meng, Zengping Li, Yi Tang, Juan Liu, Shaowen Li, Li Zhang, Peisheng Chen, Qian Liu, Yongmei BMC Infect Dis Research BACKGROUND: Previous studies found minimal evidence and raised controversy about the link between hemoglobin and 28-day mortality in sepsis patients. As a result, the purpose of this study was to examine the association between hemoglobin and 28-day death in sepsis patients by analyzing the Medical Intensive Care IV (MIMIC-IV) database from 2008 to 2019 at an advanced medical center in Boston, Massachusetts. METHODS: We extracted 34,916 sepsis patients from the MIMIC-IV retrospective cohort database, using hemoglobin as the exposure variable and 28-day death as the outcome variable, and after adjusting for confounders (demographic indicators, Charlson co-morbidity index, SOFA score, vital signs, medication use status (glucocorticoids, vasoactive drugs, antibiotics, and immunoglobulins, etc.)), we investigated the independent effects of hemoglobin and 28-day risk of death by binary logistic regression as well as two-piecewise linear model, respectively. RESULTS: Hemoglobin levels and 28-day mortality were shown to be non-linearly related.The inflection points were 104 g/L and 128 g/L, respectively. When HGB levels were between 41 and 104 g/L, there was a 10% decrease in the risk of 28-day mortality (OR: 0.90; 95% CI: 0.87 to 0.94, p-value = 0.0001). However, in the range of 104–128 g/L, we did not observe a significant association between hemoglobin and 28-day mortality (OR: 1.17; 95% CI: 1.00 to 1.35, P value = 0.0586). When HGB was in the range of 128–207 g/L, there was a 7% increase in the risk of 28-day mortality for every 1 unit increase in HGB (OR: 1.07; 95% CI: 1.01 to 1.15, P value = 0.0424). CONCLUSION: In patients with sepsis, baseline hemoglobin was related to a U-shaped risk of 28-day death. When HGB was in the range of 12.8–20.7 g/dL, there was a 7% increase in the risk of 28-day mortality for every 1 unit increase in HGB. BioMed Central 2023-06-20 /pmc/articles/PMC10280861/ /pubmed/37340360 http://dx.doi.org/10.1186/s12879-023-08384-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Chen, Yu
Chen, Lu
Meng, Zengping
Li, Yi
Tang, Juan
Liu, Shaowen
Li, Li
Zhang, Peisheng
Chen, Qian
Liu, Yongmei
The correlation of hemoglobin and 28-day mortality in septic patients: secondary data mining using the MIMIC-IV database
title The correlation of hemoglobin and 28-day mortality in septic patients: secondary data mining using the MIMIC-IV database
title_full The correlation of hemoglobin and 28-day mortality in septic patients: secondary data mining using the MIMIC-IV database
title_fullStr The correlation of hemoglobin and 28-day mortality in septic patients: secondary data mining using the MIMIC-IV database
title_full_unstemmed The correlation of hemoglobin and 28-day mortality in septic patients: secondary data mining using the MIMIC-IV database
title_short The correlation of hemoglobin and 28-day mortality in septic patients: secondary data mining using the MIMIC-IV database
title_sort correlation of hemoglobin and 28-day mortality in septic patients: secondary data mining using the mimic-iv database
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280861/
https://www.ncbi.nlm.nih.gov/pubmed/37340360
http://dx.doi.org/10.1186/s12879-023-08384-9
work_keys_str_mv AT chenyu thecorrelationofhemoglobinand28daymortalityinsepticpatientssecondarydataminingusingthemimicivdatabase
AT chenlu thecorrelationofhemoglobinand28daymortalityinsepticpatientssecondarydataminingusingthemimicivdatabase
AT mengzengping thecorrelationofhemoglobinand28daymortalityinsepticpatientssecondarydataminingusingthemimicivdatabase
AT liyi thecorrelationofhemoglobinand28daymortalityinsepticpatientssecondarydataminingusingthemimicivdatabase
AT tangjuan thecorrelationofhemoglobinand28daymortalityinsepticpatientssecondarydataminingusingthemimicivdatabase
AT liushaowen thecorrelationofhemoglobinand28daymortalityinsepticpatientssecondarydataminingusingthemimicivdatabase
AT lili thecorrelationofhemoglobinand28daymortalityinsepticpatientssecondarydataminingusingthemimicivdatabase
AT zhangpeisheng thecorrelationofhemoglobinand28daymortalityinsepticpatientssecondarydataminingusingthemimicivdatabase
AT chenqian thecorrelationofhemoglobinand28daymortalityinsepticpatientssecondarydataminingusingthemimicivdatabase
AT liuyongmei thecorrelationofhemoglobinand28daymortalityinsepticpatientssecondarydataminingusingthemimicivdatabase
AT chenyu correlationofhemoglobinand28daymortalityinsepticpatientssecondarydataminingusingthemimicivdatabase
AT chenlu correlationofhemoglobinand28daymortalityinsepticpatientssecondarydataminingusingthemimicivdatabase
AT mengzengping correlationofhemoglobinand28daymortalityinsepticpatientssecondarydataminingusingthemimicivdatabase
AT liyi correlationofhemoglobinand28daymortalityinsepticpatientssecondarydataminingusingthemimicivdatabase
AT tangjuan correlationofhemoglobinand28daymortalityinsepticpatientssecondarydataminingusingthemimicivdatabase
AT liushaowen correlationofhemoglobinand28daymortalityinsepticpatientssecondarydataminingusingthemimicivdatabase
AT lili correlationofhemoglobinand28daymortalityinsepticpatientssecondarydataminingusingthemimicivdatabase
AT zhangpeisheng correlationofhemoglobinand28daymortalityinsepticpatientssecondarydataminingusingthemimicivdatabase
AT chenqian correlationofhemoglobinand28daymortalityinsepticpatientssecondarydataminingusingthemimicivdatabase
AT liuyongmei correlationofhemoglobinand28daymortalityinsepticpatientssecondarydataminingusingthemimicivdatabase