Evidence map›Paper›PMID 41491478›Full record

ArticleBMC infectious diseases2026

Prevalence and outcomes of postoperative infection among pediatric congenital heart disease patients in intensive care units: a single center retrospective study.

Xianting Jiao, Jiawei Gao, Wenyuan Shang, Tingting Zhang, Sun Chen, Huiying Wang, Jihong Huang

Abstract read
In one paragraph

Article in BMC infectious diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Xianting Jiao *Department of Pediatric Infectious, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jiawei Gao *Department of Pediatric Cardiology Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Wenyuan ShangDepartment of Pediatric Cardiology Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Tingting ZhangDepartment of Pediatric Cardiology Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Sun ChenDepartment of Pediatric Cardiology Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Huiying WangDepartment of Pediatric Cardiology Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China. 292011428@qq.com.
Jihong HuangDepartment of Pediatric Cardiology Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China. huangjihong@xinhuamed.com.cn.

Funding

National Natural Science Foundation of China 81773411
6 · The paper itself

Abstract

backgroundPostoperative infections are major complications in pediatric congenital heart disease (CHD) patients and are associated with prolonged ICU stays, increased mechanical ventilation times, and extended hospitalizations. This study aims to investigate the prevalence, clinical outcomes, and associated risk factors for postoperative infections in pediatric CHD patients.

methodsThis retrospective study included 1,131 pediatric CHD patients who underwent surgery at Xinhua Hospital, affiliated to Shanghai Jiao Tong University, between October 2020 and July 2024. Based on clinical manifestations and microbiological evidence, patients were stratified into four groups: non-infected (n = 1000), possible infection (n = 45), probable infection (n = 40), and confirmed infection (n = 46). Statistical analyses were performed using Mann-Whitney U tests and multivariable logistic regression models, adjusting for multiple confounding factors, including gender, age, weight, cyanotic heart disease, pulmonary hypertension, and surgical complexity (STAT score), to assess the association between infection status and hospitalization duration, ICU stay, and mechanical ventilation time.

resultsInfections occurred in 11.6% of patients and were independently associated with prolonged hospitalization (adjusted OR = 3.10, 95% CI: 1.84-5.20), ICU stay (adjusted OR = 3.51, 95% CI: 2.01-6.12), and mechanical ventilation (adjusted OR = 1.85, 95% CI: 1.09-3.11). Other independent predictors of prolonged stay included cyanotic lesions, pulmonary hypertension, and STAT score. Among suspected and confirmed infection patients, multidrug-resistant organism infection (+ 11.54 days), delayed pathogen sampling (≥ postoperative day 4; +6.71 days), prematurity (+ 29.00 days), and high STAT score (+ 4.05 days) were significantly associated with extended hospitalization.

conclusionsPostoperative infections are significantly associated with prolonged hospitalization and indices of delayed recovery in pediatric CHD patients, particularly in cases involving multidrug-resistant organisms, delayed pathogen sampling, high STAT categories, and prematurity. Early detection and targeted infection control measures may be associated with improved outcomes in this high-risk population. Future research should focus on multicenter prospective studies and advanced diagnostic tools to enable timely and effective infection management. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Bacterial InfectionsHeart Defects, CongenitalPostoperative ComplicationsChild, PreschoolChinaFemaleHumansInfantIntensive Care Units, PediatricLength of StayMalePrevalenceRespiration, ArtificialRetrospective StudiesRisk FactorsHospital stayICU stayMechanical ventilationMultidrug-resistant pathogensPediatric congenital heart diseasePostoperative infection

Identifiers

PMID41491478
PMCPMC12870055

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.