# Serum inflammatory markers nt-probnp, hs-crp and il-6 predict disease severity and mortality in severe community-acquired pneumonia: A propensity score matching study

**Authors:** Tong Liu, Wei Xi, Bayaer Wulijie, Lingyun Qiu, Jianjun Shuai, Fan Yang, Xingang Wang, Junwei Zhang

PMC · DOI: 10.5937/jomb0-58952 · Journal of Medical Biochemistry · 2026-01-06

## TL;DR

This study shows that blood markers NT-proBNP, hs-CRP, and IL-6 help predict severity and death risk in severe pneumonia patients when combined with CT scans.

## Contribution

The study demonstrates that combining inflammatory biomarkers with CT scores improves SCAP diagnosis and mortality prediction.

## Key findings

- SCAP patients had significantly higher NT-proBNP, hs-CRP, and IL-6 levels compared to controls.
- A combined model of biomarkers and CT scores outperformed individual measures in predicting mortality (AUC 0.839).
- Elevated biomarker levels were identified as independent predictors of mortality in SCAP patients.

## Abstract

This study aimed to evaluate the involvementof serum inflammatory markers— N-terminal pro-brainnatriuretic peptide (NT-proBNP), hypersensitive-C reactiveprotein (hs-CRP), and interleukin-6 (IL-6) - in the pathological progression of severe community-acquired pneumonia (SCAP), examine their association with computedtomography (CT) scores, and assess their combined utilityfor diagnosis and outcome prediction.

We performed a propensity score-matched retrospective cohort study involving 164 SCAP patients(research group) and 164 age- and sex-matched healthycontrols (control group) enrolled between March 2024 andJanuary 2025. Serum NT-proBNP hs-CRP and IL-6 concentrations were quantified by enzyme-linked immunosorbent assay (ELISA), while chest computed tomography(CT) manifestations were evaluated using the AcuteExacerbation of Idiopathic Pulmonary Fibrosis (AE-IPF)scoring system. Comparative analyses of inflammatorymarkers and CT imaging findings were conducted, withsubsequent correlation studies, receiver operating characteristic (ROC) curve analysis, and multivariate regressionmodeling to determine their relationship with in-hospitalmortality.

Following propensity score matching, demographic characteristics were well-balanced between groups (standardized mean differences &lt;0.1). SCAP patientsdemonstrated significantly elevated serum levels of NTproBNP hs-CRP and IL-6 (P&lt; 0.01), along with higher CTscores than controls. Strong positive correlations wereobserved between inflammatory marker concentrationsand CT scores (P&lt; 0.01). The combined model outperformed individual biomarkers or CT alone in diagnosingSCAP (AUC 0.934, 95%CI 0.910 -0.959; P&lt; 0.001) andpredicting mortality (AUC 0.839, 95%CI 0.759-0.919;P&lt; 0.001). Multivariate analysis identified the elevation ofthese biomarkers as independent predictors of mortality inSCAP patients (P&lt; 0.01).

NT-proBNP hs-CRP and IL-6 play pivotal rolesin promoting SCAP progression by driving inflammatorycascades and pulmonary tissue injury. The integratedassessment of these biomarkers with CT scoring significantly improves disease monitoring and prognostic assessment accuracy, potentially guiding individualized antiinflammatory interventions in SCAP management.

## Linked entities

- **Proteins:** IL6 (interleukin 6)

## Full-text entities

- **Genes:** AGER (advanced glycosylation end-product specific receptor) [NCBI Gene 177] {aka RAGE, SCARJ1, sRAGE}, IL1B (interleukin 1 beta) [NCBI Gene 3553] {aka IL-1, IL1-BETA, IL1F2, IL1beta}, STAT3 (signal transducer and activator of transcription 3) [NCBI Gene 6774] {aka ADMIO, ADMIO1, APRF, HIES}, FGB (fibrinogen beta chain) [NCBI Gene 2244] {aka HEL-S-78p}, TLR4 (toll like receptor 4) [NCBI Gene 7099] {aka ARMD10, CD284, TLR-4, TOLL}, TNF (tumor necrosis factor) [NCBI Gene 7124] {aka DIF, IMD127, TNF-alpha, TNFA, TNFSF2, TNLG1F}, C1QL1 (complement C1q like 1) [NCBI Gene 10882] {aka C1QRF, C1QTNF14, CRF, CTRP14}, CXCL8 (C-X-C motif chemokine ligand 8) [NCBI Gene 3576] {aka GCP-1, GCP1, IL8, LECT, LUCT, LYNAP}, CRP (C-reactive protein) [NCBI Gene 1401] {aka PTX1}, IL6 (interleukin 6) [NCBI Gene 3569] {aka BSF-2, BSF2, CDF, HGF, HSF, IFN-beta-2}
- **Diseases:** psychiatric disorders (MESH:D001523), malignancies (MESH:D009369), lung damage (MESH:D008171), diabetes (MESH:D003920), pulmonary injury (MESH:D055370), edema (MESH:D004487), inflammation (MESH:D007249), hepatic/renal dysfunction (MESH:D008107), injury (MESH:D014947), acute lower respiratory tract infection (MESH:D012141), fibrosis (MESH:D005355), hyperlipidemia (MESH:D006949), coronary heart disease (MESH:D003327), pyrexia (MESH:D005334), systemic diseases (MESH:D034721), cavitary lesions (MESH:C566924), multiple organ dysfunction (MESH:D009102), chronic obstructive pulmonary disease (MESH:D029424), hyperemia (MESH:D006940), pneumonia (MESH:D011014), Bacterial pneumonia (MESH:D018410), cardiovascular diseases (MESH:D002318), coagulopathy (MESH:D001778), IPF (MESH:D054990), COVID-19 (MESH:D000086382), thrombotic (MESH:D013927), microvascular thrombosis (MESH:D017566), died (MESH:D003643), neutrophil (MESH:C564275), hypertension (MESH:D006973), parenchymal injury (MESH:D002543), multiple sclerosis (MESH:D009103), pulmonary tissue necrosis (MESH:D009336), CAP (MESH:D003147), cognitive impairment (MESH:D003072), silicosis (MESH:D012829), SCAP (MESH:D045169), tuberculosis (MESH:D014376), pulmonary fibrosis (MESH:D011658)
- **Chemicals:** tocilizumab (MESH:C502936), BoxA (-), hs (MESH:D006859), alcohol (MESH:D000438), ROS (MESH:D017382)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

22 references — full list in the complete paper: https://tomesphere.com/paper/PMC12967166/full.md

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Source: https://tomesphere.com/paper/PMC12967166