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Alveolar–arterial oxygen gradient nonlinearly impacts the 28‐day mortality of patients with sepsis: Secondary data mining based on the MIMIC‐IV database

OBJECTIVE: Lung is often implicated in sepsis, resulting in acute respiratory distress syndrome (ARDS). The alveolar–arterial oxygen gradient [D(A‐a)O(2)] reflects lung diffusing capacity, which is usually compromised in ARDS. But whether D(A‐a)O(2) impacts the prognosis of patients with sepsis rema...

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Autores principales: Wang, Ying, He, Yan, Chen, Lu, Liu, Ying, Yuan, Jia, Bi, Hongying, Chen, Qimin, Chen, Xianjun, Shen, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10214571/
https://www.ncbi.nlm.nih.gov/pubmed/37076114
http://dx.doi.org/10.1111/crj.13614
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author Wang, Ying
He, Yan
Chen, Lu
Liu, Ying
Yuan, Jia
Bi, Hongying
Chen, Qimin
Chen, Xianjun
Shen, Feng
author_facet Wang, Ying
He, Yan
Chen, Lu
Liu, Ying
Yuan, Jia
Bi, Hongying
Chen, Qimin
Chen, Xianjun
Shen, Feng
author_sort Wang, Ying
collection PubMed
description OBJECTIVE: Lung is often implicated in sepsis, resulting in acute respiratory distress syndrome (ARDS). The alveolar–arterial oxygen gradient [D(A‐a)O(2)] reflects lung diffusing capacity, which is usually compromised in ARDS. But whether D(A‐a)O(2) impacts the prognosis of patients with sepsis remains to be explored. Our study aims to investigate the association between D(A‐a)O(2) and 28‐day mortality in patients with sepsis using a large sample, multicenter Medical Information Mart for Intensive Care (MIMIC)‐IV database. METHODS: We extracted a data of 35 010 patients with sepsis from the retrospective cohort MIMIC‐IV database, by which the independent effects of D(A‐a)O(2) on 28‐day death risk was investigated, with D(A‐a)O(2) as being the exposure variable and 28‐day fatality being the outcome variable. Binary logistic regression and a two‐piecewise linear model were employed to explore the relationship between D(A‐a)O(2) and the 28‐day death risk after confounding factors were optimized including demographic indicators, Charlson comorbidity index (CCI), Sequential Organ Failure Assessment (SOFA) score, drug administration, and vital signs. RESULTS: A total of 18 933 patients were finally included in our analysis. The patients' average age was 66.67 ± 16.01 years, and the mortality at 28 days was 19.23% (3640/18933). Multivariate analysis demonstrated that each 10‐mmHg rise of D(A‐a)O(2) was linked with a 3% increase in the probability of death at 28 days either in the unadjusted model or in adjustment for demographic variables (Odds ratio [OR]: 1.03, 95% CI: 1.02 to 1.03). But, each 10 mmHg increase in D(A‐a)O(2) was associated with a 3% increase of death (OR: 1.03, 95% CI: 1.023 to 1.033) in the case of adjustment for all covariants. Through smoothed curve fitting and generalized summation models, we found that non‐linear relationship existed between D(A‐a)O(2) and the death at 28‐day, which demonstrated that D(A‐a)O(2) had no any impacts on the prognosis of patients with sepsis when D(A‐a)O(2) was less than or equal to 300 mmHg, but once D(A‐a)O(2) exceeded 300 mmHg, however, every 10 mmHg elevation of D(A‐a)O(2) is accompanied by a 5% increase of the 28‐day death (OR: 1.05; 95% CI:1.04 to 1.05, p < 0.0001). CONCLUSION: Our findings suggests that D(A‐a)O(2) is a valuable indicator for the management of sepsis patient, and it is recommended that D(A‐a)O(2) be maintained less than 300 mmHg as far as possible during sepsis process.
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spelling pubmed-102145712023-05-27 Alveolar–arterial oxygen gradient nonlinearly impacts the 28‐day mortality of patients with sepsis: Secondary data mining based on the MIMIC‐IV database Wang, Ying He, Yan Chen, Lu Liu, Ying Yuan, Jia Bi, Hongying Chen, Qimin Chen, Xianjun Shen, Feng Clin Respir J Original Articles OBJECTIVE: Lung is often implicated in sepsis, resulting in acute respiratory distress syndrome (ARDS). The alveolar–arterial oxygen gradient [D(A‐a)O(2)] reflects lung diffusing capacity, which is usually compromised in ARDS. But whether D(A‐a)O(2) impacts the prognosis of patients with sepsis remains to be explored. Our study aims to investigate the association between D(A‐a)O(2) and 28‐day mortality in patients with sepsis using a large sample, multicenter Medical Information Mart for Intensive Care (MIMIC)‐IV database. METHODS: We extracted a data of 35 010 patients with sepsis from the retrospective cohort MIMIC‐IV database, by which the independent effects of D(A‐a)O(2) on 28‐day death risk was investigated, with D(A‐a)O(2) as being the exposure variable and 28‐day fatality being the outcome variable. Binary logistic regression and a two‐piecewise linear model were employed to explore the relationship between D(A‐a)O(2) and the 28‐day death risk after confounding factors were optimized including demographic indicators, Charlson comorbidity index (CCI), Sequential Organ Failure Assessment (SOFA) score, drug administration, and vital signs. RESULTS: A total of 18 933 patients were finally included in our analysis. The patients' average age was 66.67 ± 16.01 years, and the mortality at 28 days was 19.23% (3640/18933). Multivariate analysis demonstrated that each 10‐mmHg rise of D(A‐a)O(2) was linked with a 3% increase in the probability of death at 28 days either in the unadjusted model or in adjustment for demographic variables (Odds ratio [OR]: 1.03, 95% CI: 1.02 to 1.03). But, each 10 mmHg increase in D(A‐a)O(2) was associated with a 3% increase of death (OR: 1.03, 95% CI: 1.023 to 1.033) in the case of adjustment for all covariants. Through smoothed curve fitting and generalized summation models, we found that non‐linear relationship existed between D(A‐a)O(2) and the death at 28‐day, which demonstrated that D(A‐a)O(2) had no any impacts on the prognosis of patients with sepsis when D(A‐a)O(2) was less than or equal to 300 mmHg, but once D(A‐a)O(2) exceeded 300 mmHg, however, every 10 mmHg elevation of D(A‐a)O(2) is accompanied by a 5% increase of the 28‐day death (OR: 1.05; 95% CI:1.04 to 1.05, p < 0.0001). CONCLUSION: Our findings suggests that D(A‐a)O(2) is a valuable indicator for the management of sepsis patient, and it is recommended that D(A‐a)O(2) be maintained less than 300 mmHg as far as possible during sepsis process. John Wiley and Sons Inc. 2023-04-19 /pmc/articles/PMC10214571/ /pubmed/37076114 http://dx.doi.org/10.1111/crj.13614 Text en © 2023 The Authors. The Clinical Respiratory Journal published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Wang, Ying
He, Yan
Chen, Lu
Liu, Ying
Yuan, Jia
Bi, Hongying
Chen, Qimin
Chen, Xianjun
Shen, Feng
Alveolar–arterial oxygen gradient nonlinearly impacts the 28‐day mortality of patients with sepsis: Secondary data mining based on the MIMIC‐IV database
title Alveolar–arterial oxygen gradient nonlinearly impacts the 28‐day mortality of patients with sepsis: Secondary data mining based on the MIMIC‐IV database
title_full Alveolar–arterial oxygen gradient nonlinearly impacts the 28‐day mortality of patients with sepsis: Secondary data mining based on the MIMIC‐IV database
title_fullStr Alveolar–arterial oxygen gradient nonlinearly impacts the 28‐day mortality of patients with sepsis: Secondary data mining based on the MIMIC‐IV database
title_full_unstemmed Alveolar–arterial oxygen gradient nonlinearly impacts the 28‐day mortality of patients with sepsis: Secondary data mining based on the MIMIC‐IV database
title_short Alveolar–arterial oxygen gradient nonlinearly impacts the 28‐day mortality of patients with sepsis: Secondary data mining based on the MIMIC‐IV database
title_sort alveolar–arterial oxygen gradient nonlinearly impacts the 28‐day mortality of patients with sepsis: secondary data mining based on the mimic‐iv database
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10214571/
https://www.ncbi.nlm.nih.gov/pubmed/37076114
http://dx.doi.org/10.1111/crj.13614
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