Evidence map›Paper›PMID 40386374›Full record

ArticleTranslational pediatrics2025

Predictive value of the combined application of multiple critical illness scoring systems in neonatal respiratory distress syndrome.

Liqin Yan, Jiayang Mao, Qin Li, Tingting Yu, Lianghua Lu

Abstract read
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Article in Translational pediatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Liqin Yan *Department of Neonatology, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Jiayang Mao *Department of Neonatology, Suzhou Wujiang District Children Hospital, Suzhou, China.
Qin LiDepartment of Urology, Children' s Hospital of Soochow University, Suzhou, China.
Tingting YuDepartment of Neonatology, Children' s Hospital of Soochow University, Suzhou, China.
Lianghua LuDepartment of Neonatology, Children' s Hospital of Soochow University, Suzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: As a severe complication in premature birth, neonatal respiratory distress syndrome (NRDS) significantly threatens the health and life of the neonate. Therefore, the early identification of the severity and mortality risk of NRDS is considered crucial. This study aimed to compare the predictive roles of the neonatal critical illness score (NCIS), the Score for Neonatal Acute Physiology-II (SNAP-II), and the Score for Neonatal Acute Physiology with Perinatal Extension-II (SNAPPE-II) in predicting comorbidities and mortality in NRDS infants. Methods: A total of 192 infants diagnosed with NRDS at the neonatal intensive care unit (NICU) of the Children's Hospital of Soochow University between January 2019 and August 2020 were included. Based on discharge outcomes, they were divided into the survival and mortality groups, as well as the complication group and non-complication group. The individual or combination of the NCIS, SNAP-II, and SNAPPE-II scoring systems were applied to evaluate the survival and comorbidities in all infants. Receiver operating characteristic (ROC) curves were generated to compare the area under the curve (AUC) values. Results: All the three scoring systems exhibited good efficacy in predicting mortality among NRDS infants, with NCIS showing superior performance compared to SNAPPE-II, which was more effective than SNAP-II (P<0.001). The predictive efficacy of the three scoring systems was enhanced when combined in pairs or collectively, with the combination of NCIS and SNAPPE-II exhibiting the highest predictive performance (P<0.001). The three scoring systems were significantly effective in predicting the risk of comorbidities in NRDS (P<0.001). Conclusions: The NCIS, SNAP-II, and SNAPPE-II scoring systems demonstrate good predictive value for assessing the condition and prognosis of NRDS infants. The combination of NCIS with SNAP-II and SNAPPE-II exhibits high predictive efficacy for estimating mortality in NRDS.

Indexed as

infantNeonatal critical illness score (NCIS)neonatal respiratory distress syndrome (NRDS)Score for Neonatal Acute Physiology-II (SNAP-II)Score for Neonatal Acute Physiology with Perinatal Extension-II (SNAPPE-II)

Identifiers

PMID40386374
PMCPMC12079681

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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.