Evidence map›Paper›PMID 42243654›Full record

ArticleBMC immunology2026

Early diagnostic value of serum procalcitonin, C-reactive protein, white blood cell count and the neutrophil percentage in bacterial and fungal bloodstream infections.

Shihui Zhai, Chunhua Luo

Abstract read
In one paragraph

Article in BMC immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Shihui ZhaiCollege of Clinical Medical Science, Ningxia Medical University, Yinchuan, Ningxia, China.
Chunhua LuoThe First College of Clinical Medical Science, China Three Gorges University, Yichang, Hubei, China. lchlgj2004@aliyun.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBloodstream infections (BSIs) are severe systemic disorders caused by pathogenic microorganisms, including bacteria and fungi, invading the bloodstream. Associated with high morbidity and mortality, BSIs represent one of the leading causes of death globally. There is an urgent demand for simple, rapid, and accurate laboratory biomarkers to facilitate the diagnosis and differential diagnosis of patients with suspected BSIs, thereby guiding timely and targeted antimicrobial therapy.

objectiveTo evaluate the value of serum procalcitonin (PCT), C-reactive protein (CRP), white blood cell count (WBC), and neutrophil percentage (NEUT%) for early and differential diagnosis of bacterial vs. fungal bloodstream infections (BSIs), a cross-sectional study was conducted.

methodsA total of 1649 patients with suspected BSI were included in this retrospective study. Of these, 1357 patients with positive blood cultures were classified as the BSI group (experimental group), and 292 patients with negative blood cultures were assigned to the non-BSI group (control group). Serum PCT, CRP, WBC/NEUT% were measured using a bioMerieux VIDAS 30 analyzer, SIEMENS ADVIA 2400 and by Sysmex XN-9000, respectively. Microbial identification was based on bioMerieux VITEK 2 systems. The diagnostic performance of these biomarkers in the discrimination in bacterial and fungal bloodstream infections were compared using receiver operating characteristic (ROC) curves.

resultsFor BSI discrimination, a PCT level > 0.687 ng/mL could demonstrate the optimal performance (AUC = 0.788, sensitivity 61.7%, specificity 80.1%). The PCT level < 0.5 ng/mL for 3 consecutive days could effectively rule out BSI (sensitivity 98.1%, specificity 79.5%). Elevated PCT (> 1.78 ng/mL) and CRP (> 79.76 mg/L) levels were associated with bacterial BSIs (AUC = 0.686 for the combined markers). A PCT level > 1.98 ng/mL suggested Gram-negative BSI (sensitivity 68.4%). The positive diagnostic rates of the PCT + CRP+NEUT% combined test for G- bacterial and G+ bacterial BSIs reached 96.17% and 92.86% respectively, which significantly improved the diagnostic positive rate compared with single diagnosis.

conclusionsPCT could reliably excludes BSI (3-day < 0.5 ng/mL rule) and aids differentiation (bacterial/fungal: PCT + CRP; G-/G+: PCT+NEUT%). Multi-parameter approaches optimize diagnostic accuracy for timely intervention.

Indexed as

Bacterial InfectionsC-Reactive ProteinMycosesNeutrophilsProcalcitoninAdultAgedBiomarkersCross-Sectional StudiesDiagnosis, DifferentialEarly DiagnosisFemaleHumansLeukocyte CountMaleMiddle AgedBiomarkersC-Reactive ProteinProcalcitoninBloodstream infection (BSI)C-reactive protein (CRP)Early diagnosisNeutrophil percentage (NEUT%)Procalcitonin (PCT)White blood cell count (WBC)

Identifiers

PMID42243654
PMCPMC13455401

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.