Gianni Turcato, Arian Zaboli, Lucia Filippi, Paolo Ferretto, Daniela Milazzo, Michael Maggi, Alessandro Cipriano, Massimo Marchetti, Lorenzo Ghiadoni, Christian J Wiedermann
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引用次数: 0
Abstract
Aims: To assess the prognostic value of serial serum albumin measurements in septic patients, with a focus on different clinical phenotypes.
Methods: We conducted a prospective observational study involving 254 patients with sepsis admitted to an Intermediate Care Unit in Italy (September 2022-June 2024). Patients were classified into four sepsis phenotypes (α, β, γ, δ), and serum albumin levels were measured daily over five days. The primary outcome was 30-day mortality. Logistic regression, Cox models, and AUROC analysis were used to evaluate associations between albumin dynamics, phenotypes, and outcomes.
Results: The δ phenotype showed the lowest mean albumin levels (2.2 g/dL) and the highest mortality (45.4%), while phenotype α had the highest albumin and lowest mortality (3.6%). Each 1 g/dL increase in albumin was associated with a 63% mortality risk reduction (HR 0.37; 95% CI: 0.24-0.56). Albumin's predictive performance was strongest in the δ phenotype (AUROC up to 0.95).
Conclusion: Serial albumin monitoring may provide prognostic insights in sepsis, especially in phenotypes associated with endothelial dysfunction. These results are hypothesis-generating and may support more personalized treatment strategies.
期刊介绍:
Biomarkers are physical, functional or biochemical indicators of physiological or disease processes. These key indicators can provide vital information in determining disease prognosis, in predicting of response to therapies, adverse events and drug interactions, and in establishing baseline risk. The explosion of interest in biomarker research is driving the development of new predictive, diagnostic and prognostic products in modern medical practice, and biomarkers are also playing an increasingly important role in the discovery and development of new drugs. For the full utility of biomarkers to be realized, we require greater understanding of disease mechanisms, and the interplay between disease mechanisms, therapeutic interventions and the proposed biomarkers. However, in attempting to evaluate the pros and cons of biomarkers systematically, we are moving into new, challenging territory.
Biomarkers in Medicine (ISSN 1752-0363) is a peer-reviewed, rapid publication journal delivering commentary and analysis on the advances in our understanding of biomarkers and their potential and actual applications in medicine. The journal facilitates translation of our research knowledge into the clinic to increase the effectiveness of medical practice.
As the scientific rationale and regulatory acceptance for biomarkers in medicine and in drug development become more fully established, Biomarkers in Medicine provides the platform for all players in this increasingly vital area to communicate and debate all issues relating to the potential utility and applications.
Each issue includes a diversity of content to provide rounded coverage for the research professional. Articles include Guest Editorials, Interviews, Reviews, Research Articles, Perspectives, Priority Paper Evaluations, Special Reports, Case Reports, Conference Reports and Company Profiles. Review coverage is divided into themed sections according to area of therapeutic utility with some issues including themed sections on an area of topical interest.
Biomarkers in Medicine provides a platform for commentary and debate for all professionals with an interest in the identification of biomarkers, elucidation of their role and formalization and approval of their application in modern medicine. The audience for Biomarkers in Medicine includes academic and industrial researchers, clinicians, pathologists, clinical chemists and regulatory professionals.