Evidence map›Paper›PMID 39049003›Full record

ArticlePerioperative medicine (London, England)2024

Exploring biomarkers for diagnosing and predicting organ dysfunction in patients with perioperative sepsis: a preliminary investigation.

Linghui Jiang, Shiyu Chen, Shichao Li, Jiaxing Wang, Wannan Chen, Yuncen Shi, Wanxia Xiong, Changhong Miao

Abstract read
In one paragraph

Article in Perioperative medicine (London, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Prosaposin in CNS health and disease, metabolic stress and exercise adaptation.Journal of molecular medicine (Berlin, Germany) · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Linghui Jiang *Department of Anaesthesiology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
Shiyu Chen *Department of Anaesthesiology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
Shichao Li *Department of Anaesthesiology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
Jiaxing WangDepartment of Anaesthesiology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
Wannan ChenDepartment of Anaesthesiology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
Yuncen ShiDepartment of Anaesthesiology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
Wanxia XiongDepartment of Anaesthesiology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China. xiong.wanxia@zs-hospital.sh.cn.
Changhong MiaoDepartment of Anaesthesiology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China. ziteng1934@aliyun.com.

Funding

Shanghai Municipal Health Commission 202240294Zhongshan Hospital, Fudan University 2022ZSQN22
6 · The paper itself

Abstract

objectiveEarly diagnosis and prediction of organ dysfunction are critical for intervening and improving the outcomes of septic patients. The study aimed to find novel diagnostic and predictive biomarkers of organ dysfunction for perioperative septic patients.

methodThis is a prospective, controlled, preliminary, and single-center study of emergency surgery patients. Mass spectrometry, Gene Ontology (GO) functional analysis, and the protein-protein interaction (PPI) network were performed to identify the differentially expressed proteins (DEPs) from sepsis patients, which were selected for further verification via enzyme-linked immunosorbent assay (ELISA). Logistic regression analysis was used to estimate the relative correlation of selected serum protein levels and clinical outcomes of septic patients. Calibration curves were plotted to assess the calibration of the models.

resultsFive randomized serum samples per group were analyzed via mass spectrometry, and 146 DEPs were identified. GO functional analysis and the PPI network were performed to evaluate the molecular mechanisms of the DEPs. Six DEPs were selected for further verification via ELISA. Cathepsin B (CatB), vascular cell adhesion protein 1 (VCAM-1), neutrophil gelatinase-associated lipocalin (NGAL), protein S100-A9, prosaposin, and thrombospondin-1 levels were significantly increased in the patients with sepsis compared with those of the controls (p < 0.001). Logistic regression analysis showed that CatB, S100-A9, VCAM-1, prosaposin, and NGAL could be used for preoperative diagnosis and postoperative prediction of organ dysfunction. CatB and S100-A9 were possible predictive factors for preoperative diagnosis of renal failure in septic patients. Internal validation was assessed using the bootstrapping validation. The preoperative diagnosis of renal failure model displayed good discrimination with a C-index of 0.898 (95% confidence interval 0.843-0.954) and good calibration.

conclusionSerum CatB, S100-A9, VCAM-1, prosaposin, and NGAL may be novel markers for preoperative diagnosis and postoperative prediction of organ dysfunction. Specifically, S100-A9 and CatB were indicators of preoperative renal dysfunction in septic patients. Combining these two biomarkers may improve the accuracy of predicting preoperative septic renal dysfunction.

trial registrationThe study was registered at the Chinese Clinical Trials Registry (ChiCTR2200060418) on June 1, 2022.

Indexed as

Diagnostic markerOrgan dysfunctionPerioperative periodPredictive markerSepsis

Identifiers

PMID39049003
PMCPMC11267738

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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.