ArticleBMC pulmonary medicine2025
Prognostic value of multivariate logistic regression analysis and amyloid A lactate monitoring in patients with severe pneumonia-associated sepsis.
Article in BMC pulmonary medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Diagnostic Performance and Prognostic Value of Serum Amyloid A in Patients with Bloodstream Infection.Diagnostics (Basel, Switzerland) · 2026Article
- Early diagnostic value of Serum GDF-15, RBP4 and SOCS3 in severe pneumonia with sepsis.Journal of medical biochemistry · 2026Article
- Evaluation of Antibiotic Use in Patients Admitted to a Hungarian Intensive Care Unit with Pneumonia and Sepsis: Retrospective Observational Before-After Study.Antibiotics (Basel, Switzerland) · 2026Article
- Combined prognostic value of the neutrophil-to-lymphocyte ratio and serum lactate for 28-day mortality in patients with sepsis-induced pulmonary dysfunction.American journal of translational research · 2026Article
- Diagnostic value of the combined detection of serum tumor necrosis factor-α and fecal calprotectin in early sepsis-related encephalopathy.Frontiers in medicine · 2025Article
- Effect of bronchoalveolar lavage combined with high-dose ambroxol hydrochloride on severe pneumonia with respiratory failure.American journal of translational research · 2025Article
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5 authors.
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Abstract
backgroundPatients with severe pneumonia-associated sepsis often face high mortality rates, highlighting the need for simple and effective prognostic biomarkers. This study aimed to investigate the prognostic significance of serum amyloid A (SAA) and blood lactate (Lac) levels using multivariate logistic regression.
methodThis was a retrospective study conducted from January 2021 to December 2023, which included 156 patients diagnosed with severe pneumonia. Of these, 54 developed sepsis (septic group) while 102 did not (non-septic group). Clinical data, SAA, and Lac levels were compared between the groups. Multivariate logistic regression was employed to identify factors influencing the onset of severe pneumonia-associated sepsis and to assess the prognostic significance of SAA and Lac.
resultSignificant differences were found in APACHE II score, SOFA score, age, mechanical ventilation, SAA, and Lac levels between the septic and non-septic groups (P < 0.05). Logistic regression analysis identified age, SOFA score, APACHE II score, mechanical ventilation, SAA, and Lac as influencing factors for severe pneumonia-associated sepsis (P < 0.05). Patients with poor prognosis (PP) had significantly elevated SAA and Lac levels compared to those with good prognosis (GP) (P < 0.05). Among septic patients, those with PP had significantly higher SAA and Lac levels compared to those with GP (P < 0.05). Multivariate logistic regression revealed that advanced age, septic shock, elevated SAA levels, and increased Lac levels were predictors of PP (P < 0.05). The prognostic value of SAA and Lac was demonstrated by AUCs of 0.764 and 0.771, respectively. When combined, the AUC increased to 0.903 with a specificity of 95.00% and sensitivity of 80.25%.
conclusionSevere pneumonia-associated sepsis is influenced by age, SOFA score, APACHE II score, mechanical ventilation, SAA, and Lac levels. Elevated SAA and Lac levels are associated with PP and can provide prognostic information for adverse outcomes. While SAA and Lac show potential as biomarkers for predicting the prognosis of severe pneumonia-associated sepsis, their clinical utility should be considered in conjunction with other diagnostic and clinical factors for effective patient management and risk stratification.
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