ArticleAnnals of translational medicine2020
Infection biomarkers in assisting the judgement of blood stream infection and patient prognosis: a retrospective study incorporating principal components analysis.
Article in Annals of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Machine-learning based prediction of prognostic risk factors in patients with invasive candidiasis infection and bacterial bloodstream infection: a singled centered retrospective study.BMC infectious diseases · 2022Trial
- Distribution and Antibiotic Resistance of Pathogens in Bloodstream Infections Among Elderly Patients in Sichuan Province (2020-2024).Infection and drug resistance · 2026Article
- Letter to the Editor on: "Two-Year Pathogen Dynamics, Coinfection Features, and Core Risk Factors Associated With Severe Pediatric Acute Respiratory Tract Infections in Hangzhou, China".Influenza and other respiratory viruses · 2026Article
- Oral Microbiota Taxa and Pri-miRNA Expression in Bipolar Disorder: A Case-Control Study.Biomolecules · 2025Article
- Temporal Shifts in Etiological Agents and Trends in Antimicrobial Resistance of Bloodstream Infection in Southwest China from 2016 to 2023.Infection and drug resistance · 2025Article
- Research progress of biomarkers in evaluating the severity and prognostic value of severe pneumonia in children.Frontiers in pediatrics · 2024Review
- Exploring the Risk Factors and Possible Role of Calcium in Infective Endocarditis.Diagnostics (Basel, Switzerland) · 2023Review
- A Visualized Mortality Prediction Score Model in Hematological Malignancies Patients with Carbapenem-Resistant Organisms Bloodstream Infection.Infection and drug resistance · 2023Article
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5 authors.
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Abstract
backgroundThis study aimed to evaluate whether inexpensive and quickly available infection biomarkers including procalcitonin (PCT), C-reactive protein (CRP), white blood cell (WBC) count, and percentage of neutrophils (N%) are helpful in assisting the judgement of blood culture results and patient prognosis.
methodsThis retrospective study included patients who were admitted to the intensive care unit (ICU) of Changzheng Hospital from July 2015 to June 2017 and had at least one episode of blood culture with matched infection biomarkers (PCT, CRP, WBC, and N%). Primary infection biomarkers were transformed into newly derived components using the principal component analysis (PCA) method. Each observation was plotted as a point on the component map using factor scores as coordinates. The distribution characteristics of patients with different blood culture results and prognosis were explored. The diagnostic performance of the components and infection biomarkers in the discrimination of blood culture results and patient prognosis were compared using receiver operating characteristic (ROC) curves.
resultsA total of 768 episodes of blood cultures from 436 patients were analyzed. Patients with positive blood cultures were associated with higher ICU mortality, in-hospital mortality, longer ICU stay and hospital stay (P<0.001 for all). In PCA, the 4 sets of primary infection biomarkers (PCT, CRP, WBC, and N%) were transformed into components 1 and 2. On the component map, observations of positive blood cultures were more likely to be distributed in the first and second quadrants than those of negative blood cultures (OR, 6.28, 95% CI, 4.14-9.64, P<0.001). Compared to patients with negative blood cultures, non-survivors with positive blood cultures were more likely to be distributed in the first and second quadrants (OR, 6.90, 95% CI, 2.67-20.98, P<0.001), followed by survivors with positive blood cultures (OR, 3.44, 95% CI, 1.97-6.13, P<0.001). PCT- and CRP-derived component had the largest area under curves (AUCs) in the discrimination of blood culture results (0.81) and patient prognosis (0.69).
conclusionsPCT- and CRP-derived component was more strongly associated with blood culture results and patient prognosis than WBC- and N%-derived component and primary biomarkers.
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