A new nomogram for the individualized prediction of children's mortality risk in pediatric intensive care unit.

Chaoyan Yue, Chunyi Zhang, Chunmei Ying

Abstract read

In one paragraph

Article in American journal of translational research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed

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1 · What the graph read from it

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Chaoyan YueDepartment of Laboratory Medicine, Obstetrics and Gynecology Hospital of Fudan University Shanghai, China.

Chunyi ZhangDepartment of Laboratory Medicine, Obstetrics and Gynecology Hospital of Fudan University Shanghai, China.

Chunmei YingDepartment of Laboratory Medicine, Obstetrics and Gynecology Hospital of Fudan University Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe developed a new nomogram for the prediction of mortality risk in children in pediatric intensive care units (PICU).

methodsWe conducted a retrospective analysis using the PICU Public Database, a study that included a total of 10,538 children, to develop a new risk model for mortality in children in the intensive care units (ICU). The prediction model was analyzed using multivariate logistic regression with predictors including age and physiological indicators, and the prediction model was presented as a nomogram. The performance of the nomogram was evaluated based on its discriminative power and was internally validated.

resultsPredictors contained in the individualized prediction nomogram included the neutrophils, platelets, albumin, lactate, oxygen saturation (

conclusionThe mortality risk prediction model constructed in this study can be easily used for individualized prediction of mortality risk in children in pediatric intensive care units.

Indexed as

mortalitynomogramPediatric ICUprediction

Identifiers

PMID37434832

PMCPMC10331687

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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.