A Study on the Prognosis of Patients with Sepsis or Septic Shock Based on Plasma Proenkephalin Levels: A Meta-Analysis

BACKGROUND: Sepsis can induce multiple organ dysfunction, and its complications, such as acute kidney injury, are associated with poor prognoses. Serum pro-enkephalin (pro-ENK), as a stable biomarker, holds potential value for risk stratification and prognostic assessment in sepsis. This review aimed to investigate its value through a meta-analysis. METHODS: Databases (PubMed, Embase, Cochrane Library, Web of Science) were searched from database establishment to June 16, 2025, and literature was screened according to the established PICOS principles. Cohort studies that examined the relationship between pro-ENK levels and poor prognosis were included. Data were extracted, and study quality was appraised via the NOS (Newcastle-Ottawa Scale) assessment tool. This meta-analysis was conducted using Stata 15.0. RESULTS: 9 studies were included, with sample sizes ranging from 40 to 956 participants per study. In sepsis or shock patients, pro-ENK levels were higher in the AKI group (SMD: 1.82, 95% CI: 1.26-2.39); pro-ENK levels were higher in the non-survivor group among patients with sepsis or shock (SMD: 0.85, 95% CI: 0.60-1.10). AKI occurrence was associated with penKid levels (OR: 2.50, 95% CI: 2.02-2.99). CONCLUSION: Current evidence identifies pro-ENK as an auxiliary biomarker for sepsis-related AKI and its prognosis and provides valuable insights for further clinical research.

Authors

Institutions

Publication Details

Journal
Biomarkers
Published
2026-06-30
DOI
https://doi.org/10.1080/1354750x.2026.2697747
Primary Topic
Sepsis Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Study on the Prognosis of Patients with Sepsis or Septic Shock Based on Plasma Proenkephalin Levels: A Meta-Analysis

Yongpeng Xie, Z Z Zhou, S J Yang, Xuefeng Chen
Biomarkers
Sepsis Diagnosis and Treatment
article

A Study on the Prognosis of Patients with Sepsis or Septic Shock Based on Plasma Proenkephalin Levels: A Meta-Analysis

Yongpeng Xie, Z Z Zhou, S J Yang, Xuefeng Chen
article en

Abstract

BACKGROUND: Sepsis can induce multiple organ dysfunction, and its complications, such as acute kidney injury, are associated with poor prognoses. Serum pro-enkephalin (pro-ENK), as a stable biomarker, holds potential value for risk stratification and prognostic assessment in sepsis. This review aimed to investigate its value through a meta-analysis. METHODS: Databases (PubMed, Embase, Cochrane Library, Web of Science) were searched from database establishment to June 16, 2025, and literature was screened according to the established PICOS principles. Cohort studies that examined the relationship between pro-ENK levels and poor prognosis were included. Data were extracted, and study quality was appraised via the NOS (Newcastle-Ottawa Scale) assessment tool. This meta-analysis was conducted using Stata 15.0. RESULTS: 9 studies were included, with sample sizes ranging from 40 to 956 participants per study. In sepsis or shock patients, pro-ENK levels were higher in the AKI group (SMD: 1.82, 95% CI: 1.26-2.39); pro-ENK levels were higher in the non-survivor group among patients with sepsis or shock (SMD: 0.85, 95% CI: 0.60-1.10). AKI occurrence was associated with penKid levels (OR: 2.50, 95% CI: 2.02-2.99). CONCLUSION: Current evidence identifies pro-ENK as an auxiliary biomarker for sepsis-related AKI and its prognosis and provides valuable insights for further clinical research.

Biomarkers
The First People’s Hospital of Lianyungang (CN), Nanjing Medical University (CN)
No poverty
Openalex Percentile: Top 8%
Sepsis Diagnosis and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.