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Retrospective Study
©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc.
World J Gastrointest Surg. Feb 27, 2026; 18(2): 112169
Published online Feb 27, 2026. doi: 10.4240/wjgs.v18.i2.112169
Serum inflammatory biomarkers can predict clinical outcomes in patients with sepsis-associated gastrointestinal dysfunction
You-Hui Liu, Qing-Yang Chen, Fei-Yue Dai, Xin-Yu Chen
You-Hui Liu, Qing-Yang Chen, Fei-Yue Dai, Department of Intensive Care Unit, The First Hospital of Hunan University of Chinese Medicine, Changsha 410007, Hunan Province, China
Xin-Yu Chen, Department of Internal Medicine, The First Hospital of Hunan University of Chinese Medicine, Changsha 410007, Hunan Province, China
Author contributions: Liu YH wrote the manuscript; Liu YH and Chen XY reviewed the manuscript; Liu YH, Chen QY, Dai FY, and Chen XY collected the data; all authors annotated the manuscript.
Supported by National Chinese Medicine Advantage Specialty Construction Project, No. Czxm-zzyxk-2024001.
Institutional review board statement: This study was approved by the Ethic Committee of The First Hospital of Hunan University of Chinese Medicine, No. HN-LL-KY-2025-052-01.
Informed consent statement: Patients were not required to give informed consent for this study, as it is a retrospective clinical study and the analysis used previous clinical data.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Data sharing statement: No additional data are available.
Corresponding author: Xin-Yu Chen, MD, Department of Internal Medicine, The First Hospital of Hunan University of Chinese Medicine, No. 95 Shaoshan Middle Road, Yuhua District, Changsha 410007, Hunan Province, China. chenxinyuchen1@163.com
Received: September 9, 2025
Revised: October 30, 2025
Accepted: December 16, 2025
Published online: February 27, 2026
Processing time: 169 Days and 22.7 Hours
Abstract
BACKGROUND

Effective predictive indicators for clinical outcomes in septic patients with gastrointestinal dysfunction (GID) remain lacking.

AIM

To evaluate the relationship between serum inflammatory biomarkers (SIBs) and clinical outcomes in patients with sepsis-induced GID.

METHODS

A total of 117 sepsis-induced GID patients were selected (January 2021 to January 2025). They were grouped into poor [n = 76; Acute Physiology and Chronic Health Evaluation II (APACHE II) score > 10] and good (n = 41; APACHE II ≤ 10) prognosis groups based on outcomes. Clinical variables (sex, age, body mass index, smoking history, diabetes, hypertension, and infection site) were collected. SIBs, encompassing procalcitonin (PCT), C-reactive protein (CRP), interleukin (IL)-6/10, and tumor necrosis factor (TNF)-α, were analyzed. Correlation analyses were conducted to assess the associations of SIBs with Sequential Organ Failure Assessment (SOFA) and APACHE II scores. Receiver operating characteristic curves visualized SIBs’ predictive performance, and multivariate analysis identified independent outcome predictors.

RESULTS

The groups were similar in age, sex, body mass index, comorbidities, and major infection site. The poor prognosis group exhibited elevated APACHE II, SOFA, PCT, CRP, IL-6, IL-10, and TNF-α than the good prognosis cohort. SIBs correlated positively with both APACHE II and SOFA scores. When used to predict outcomes individually, SIBs yielded an area under the curve range of 0.660-0.780 in septic patients with GID, whereas combined biomarker analysis increased the area under the curve to 0.906. APACHE II, SOFA, PCT, CRP, IL-6, and TNF-α acted as independent predictors of prognosis.

CONCLUSION

SIBs correlate intimately with clinical outcomes in sepsis-induced GID patients.

Keywords: Serum inflammatory biomarkers; Procalcitonin; C-reactive protein; Interleukin-6/10; Sepsis; Gastrointestinal dysfunction; Clinical outcome; Predictive value

Core Tip: This study analyzed 117 patients with sepsis-associated gastrointestinal dysfunction and identified procalcitonin, C-reactive protein, tumor necrosis factor-alpha, and interleukin-6/10 as key biomarkers of disease severity and prognosis. Elevated C-reactive protein and tumor necrosis factor-alpha levels and higher Sequential Organ Failure Assessment scores increased the likelihood of poor outcomes, while combining multiple biomarkers significantly improved predictive accuracy.