ArticleTranslational pediatrics2026
A simplified prediction model for in-hospital mortality in children with congenital heart disease after surgery.
Article in Translational pediatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Early identification of high-risk patients is critical for improving outcomes after congenital heart disease (CHD) surgery in children. This study aimed to establish a prediction model for in-hospital mortality after surgery in children with CHD based on early postoperative indicators obtained upon Pediatric Intensive Care Unit (PICU) admission. Methods: Children diagnosed with CHD who underwent cardiac repair surgery between 2010 and 2018 were screened from the Pediatric Intensive Care (PIC) database, and clinical data were extracted. Laboratory variables were derived from the first measurements taken immediately after surgery upon admission to the PICU. Univariate and multivariate logistic regression analyses were used to screen risk factors for postoperative death in CHD children. A simple risk scoring system was developed using the factor scoring method, and the model performance was evaluated. Results: A total of 1,982 children admitted to the PIC unit during the postoperative period were included. Seven predictors were identified: gender, age, hemoglobin, mean corpuscular volume, albumin, calcium, and pH. The area under the receiver operating characteristic curve (AUC) of the multivariate logistic model constructed with these seven factors was 0.895 [95% confidence interval (CI): 0.818-0.973]. The simplified scoring system derived from the aforementioned factors yielded an AUC of 0.889 (95% CI: 0.813-0.966). At a cutoff value of 5, the sensitivity and specificity were 0.800 and 0.893, respectively. Compared with the low-risk (<5) children, the odds ratios of in-hospital mortality in the moderate-risk [5-10] and high-risk (≥10) children were 12.52 (95% CI: 3.55-44.12) and 179.50 (95% CI: 45.73-704.63), respectively. Conclusions: Based on seven commonly available postoperative clinical indicators, this study successfully established a simple scoring system with good predictive performance for in-hospital mortality after surgery in CHD children.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.