Dynamic Immune Indicator Changes as Predictors of ARDS in ICU Patients with Sepsis: A Retrospective Study

Xiaochi Lu,1 Yi Chen,1 Gongping Zhang,1 Xu Zeng,1 Linjie Lai,1 Chaojun Qu2 1Department of Emergency Medicine, Lishui Municipal Central Hospital, Lishui, 323000, People’s Republic of China; 2Department of Intensive Care Unit, Lishui Municipal Central Hospital, Lishui, 323000, People’s Republic of ChinaCorrespondence: Chaojun Qu, Department of Intensive Care Unit, Lishui Municipal Central Hospital, No. 289, Kuocang Road, Liandu District, Lishui, 323000, People’s Republic of China, Tel +86-0578-57079752, Email [email protected]: Understanding the dynamic changes in immune indicators during sepsis and their predictive value for Acute respiratory distress syndrome (ARDS) is crucial for improving patient outcomes.Methods: This single-center, observational retrospective study was conducted at Lishui Central Hospital, Zhejiang Province. Patients diagnosed with Sepsis-3 were categorized into non-ARDS and ARDS groups based on ARDS development. Data collection included demographics, clinical data, and immune parameters. Immune parameters were collected on days 1, 3, and 7 post-admission. Multivariate logistic regression analysis identified independent risk factors for ARDS, and a nomogram model was constructed. The predictive ability of the model was evaluated using ROC curves.Results: Multivariate analysis identified key factors for the nomogram, including CD4, CD8, Treg, lymphocyte, IgG, and IgA levels on Days 3 and 7. On Day 3, CD8 (P < 0.001), Tregs (P = 0.021), IgG (P < 0.001), and IgA (P < 0.001) showed significant negative correlations with ARDS development. On Day 7, CD4 (P < 0.001), CD8 (P < 0.001), lymphocyte count (P < 0.001), and IgA (P < 0.001) similarly demonstrated significant negative correlations with ARDS risk. The nomogram model had an AUC of 0.998 (95% CI: 0.997– 0.999), indicating high predictive ability.Conclusion: Early dynamic changes in immune indicators, including CD8, CD4, Treg, IgA, IgG, and Lymphocyte, predict ARDS development in ICU sepsis patients.Keywords: sepsis, acute respiratory distress syndrome, immune indicator dynamics, nomograph, intensive care unit

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-03-01
Primary Topic
Sepsis Diagnosis and Treatment
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article

Dynamic Immune Indicator Changes as Predictors of ARDS in ICU Patients with Sepsis: A Retrospective Study

SHILAP Revista de lepidopterología
Sepsis Diagnosis and Treatment
article

Dynamic Immune Indicator Changes as Predictors of ARDS in ICU Patients with Sepsis: A Retrospective Study

article en

Abstract

Xiaochi Lu,1 Yi Chen,1 Gongping Zhang,1 Xu Zeng,1 Linjie Lai,1 Chaojun Qu2 1Department of Emergency Medicine, Lishui Municipal Central Hospital, Lishui, 323000, People’s Republic of China; 2Department of Intensive Care Unit, Lishui Municipal Central Hospital, Lishui, 323000, People’s Republic of ChinaCorrespondence: Chaojun Qu, Department of Intensive Care Unit, Lishui Municipal Central Hospital, No. 289, Kuocang Road, Liandu District, Lishui, 323000, People’s Republic of China, Tel +86-0578-57079752, Email [email protected]: Understanding the dynamic changes in immune indicators during sepsis and their predictive value for Acute respiratory distress syndrome (ARDS) is crucial for improving patient outcomes.Methods: This single-center, observational retrospective study was conducted at Lishui Central Hospital, Zhejiang Province. Patients diagnosed with Sepsis-3 were categorized into non-ARDS and ARDS groups based on ARDS development. Data collection included demographics, clinical data, and immune parameters. Immune parameters were collected on days 1, 3, and 7 post-admission. Multivariate logistic regression analysis identified independent risk factors for ARDS, and a nomogram model was constructed. The predictive ability of the model was evaluated using ROC curves.Results: Multivariate analysis identified key factors for the nomogram, including CD4, CD8, Treg, lymphocyte, IgG, and IgA levels on Days 3 and 7. On Day 3, CD8 (P < 0.001), Tregs (P = 0.021), IgG (P < 0.001), and IgA (P < 0.001) showed significant negative correlations with ARDS development. On Day 7, CD4 (P < 0.001), CD8 (P < 0.001), lymphocyte count (P < 0.001), and IgA (P < 0.001) similarly demonstrated significant negative correlations with ARDS risk. The nomogram model had an AUC of 0.998 (95% CI: 0.997– 0.999), indicating high predictive ability.Conclusion: Early dynamic changes in immune indicators, including CD8, CD4, Treg, IgA, IgG, and Lymphocyte, predict ARDS development in ICU sepsis patients.Keywords: sepsis, acute respiratory distress syndrome, immune indicator dynamics, nomograph, intensive care unit

SHILAP Revista de lepidopterología
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