Evidence map›Paper›PMID 40247163›Full record

ArticleBMC infectious diseases2025

Inflammatory burden index as a predictor of mortality in septic patients: a retrospective study using the MIMIC-IV database.

Zhitao Zhong, Mingyan Fan, Lukai Lv, Qiong Long, Kefeng Li, Ping Xu

Abstract read
In one paragraph

Article in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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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

6 authors.

Zhitao Zhong *Emergency Department, Zigong Fourth People's Hospital, 19 Tanmulin Road, Zigong, 643000, Sichuan Province, China.
Mingyan Fan *Emergency Department, Zigong Fourth People's Hospital, 19 Tanmulin Road, Zigong, 643000, Sichuan Province, China.
Lukai Lv *Emergency Department, Zigong Fourth People's Hospital, 19 Tanmulin Road, Zigong, 643000, Sichuan Province, China.
Qiong LongLaboratory Department, Zigong Fourth People's Hospital, Zigong, Sichuan Province, China.
Kefeng LiCenter for Artificial Intelligence Driven Drug Discovery, Faculty of Applied Sciences, Macao Polytechnic University, Macau, China.
Ping XuEmergency Department, Zigong Fourth People's Hospital, 19 Tanmulin Road, Zigong, 643000, Sichuan Province, China. xp1657@126.com.

Funding

Project of Science & Technology Department of Sichuan Province 2024JDKP0021Research project of Health Commission of Zigong City 22yb024Research project of Health Commission of Zigong City 22zd004Research project of Zigong City Science & Technology and Intellectual Property Right Bureau 2022ZCYGY05Research project of Zigong City Science & Technology and Intellectual Property Right Bureau 2023-YGY-3-04Sichuan Medical Association Scientific Research Project S21019Special Project for Scientific and Technological Research of Sichuan Provincial Administration of Traditional Chinese Medicine 2023MS494
6 · The paper itself

Abstract

purposePrevious studies have identified the Inflammatory Burden Index (IBI) as a potential predictor of mortality risk in inflammatory diseases. However, its relationship with mortality rates specifically in septic patients has not been thoroughly investigated. This study aimed to explore the association between IBI and mortality risk in patients with sepsis. PATIENTS AND

methodsWe sourced clinical records of 1,828 septic patients from the Multiparameter Intelligent Monitoring in Intensive Care IV (MIMIC-IV 3.0) dataset, covering the period from 2008 to 2022. The primary endpoint was mortality within 28 days, with secondary endpoints including mortality during intensive care unit (ICU) stays and throughout hospitalization. Patients were categorized into quartiles based on their log-transformed Inflammatory Burden Index (LnIBI) levels. Binary logistic regression was utilized to examine the independent influence of IBI on mortality outcomes, adjusting for confounders. Additionally, the association between IBI and these outcomes was explored using restricted cubic splines and Kaplan-Meier analysis. Further comparison of receiver operating characteristic (ROC) curves was conducted to investigate the predictive performance.

resultsThe study involved 1,828 septic patients, including 1,047 males. The all-cause mortality rates were 17.78% (325/1828) within 28 days, 17.34% (317/1828) during ICU stays, and 18.22% (333/1828) over the course of hospitalization. In the adjusted model, a positive correlation was found between LnIBI and mortality at 28 days (OR 1.093[1.014, 1.179], P = 0.021), during ICU stay (OR 1.106[1.025, 1.195], P = 0.01), and throughout hospitalization (OR 1.1[1.022, 1.187], P = 0.012). The analysis using restricted cubic splines showed a linear correlation between LnIBI and mortality risks. The areas under the curve (AUC) of LnIBI was larger than that of CRP (P < 0.05), and there were no significant differences between LnIBI and Neutrophil counts or Lymphocyte counts (P > 0.05). Kaplan-Meier plots revealed significantly lower survival rates for patients in the highest quartile of LnIBI (P < 0.001).

conclusionElevated IBI values are significantly linked with higher mortality risks within 28 days, during ICU, and throughout the hospitalization period in septic patients.

Indexed as

InflammationSepsisAdultAgedDatabases, FactualFemaleHumansIntensive Care UnitsMaleMiddle AgedPrognosisRetrospective StudiesROC CurveSeverity of Illness IndexInflammatory burden indexMIMIC-IV databaseMortality riskSepsis

Identifiers

PMID40247163
PMCPMC12007314

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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.