Construction and Validation of an Early Warning Model for Predicting the 28-Day Mortality in Sepsis Patients with Chronic Obstructive Pulmonary Disease

This nomogram integrates laboratory indicators pertinent to the patient's metabolic status, hypoxia status, and organ function, thereby enhancing the accuracy of early prediction of 28-day mortality in sepsis patients with COPD. Additionally, the model's comparative advantage over existing scoring systems (eg, SOFA) would enhance its impact. Our findings hold substantial implications for early prognostic assessment and clinical decision-making in this patient population. Therefore, earlier diagnosis within 24 hours of admission and proper identification of high-risk patients may reduce disease-related mortality by promoting timely treatment.

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Publication Details

Journal
International Journal of COPD
Published
2025-05-01
DOI
https://doi.org/10.2147/copd.s521816
Citations
1
Primary Topic
Sepsis Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
1.35
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article

Construction and Validation of an Early Warning Model for Predicting the 28-Day Mortality in Sepsis Patients with Chronic Obstructive Pulmonary Disease

Qi Xin, Xiaoyuan Yu, Zihan Jiao, Fan Yang
1 citations
International Journal of COPD
Sepsis Diagnosis and Treatment
1.35
article

Construction and Validation of an Early Warning Model for Predicting the 28-Day Mortality in Sepsis Patients with Chronic Obstructive Pulmonary Disease

Qi Xin, Xiaoyuan Yu, Zihan Jiao, Fan Yang
article en
1 citations

Abstract

This nomogram integrates laboratory indicators pertinent to the patient's metabolic status, hypoxia status, and organ function, thereby enhancing the accuracy of early prediction of 28-day mortality in sepsis patients with COPD. Additionally, the model's comparative advantage over existing scoring systems (eg, SOFA) would enhance its impact. Our findings hold substantial implications for early prognostic assessment and clinical decision-making in this patient population. Therefore, earlier diagnosis within 24 hours of admission and proper identification of high-risk patients may reduce disease-related mortality by promoting timely treatment.

International Journal of COPDVol. Volume 20
Shanxi Medical University (CN), First Affiliated Hospital of Xi'an Jiaotong University (CN)
Good health and well-being
Openalex Percentile: Top 20%
Sepsis Diagnosis and Treatment
1.35
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Construction and Validation of an Early Warning Model for Predicting the 28-Day Mortality in Sepsis Patients with Chronic Obstructive Pulmonary Disease — Qi Xin, Xiaoyuan Yu, et al. · International Journal of COPD (2025) | TGRS Research Map | TGRS