Evidence map›Paper›PMID 37321562›Full record

ArticleThe clinical respiratory journal2023

Evaluation of the prognostic value of lncRNA UCA1 combined with extravascular lung water index and lung ultrasound score in patients with acute lung injury.

Zhaopeng Jiang, Jiaqi Wu, Ming Wan, Lingling Liu, Xianli Zhou

Abstract read
In one paragraph

Article in The clinical respiratory journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Zhaopeng JiangDepartment of In-Patient Ultrasound, The 2nd Affiliated Hospital of Harbin Medical University, Harbin, China.
Jiaqi WuDepartment of In-Patient Ultrasound, The 2nd Affiliated Hospital of Harbin Medical University, Harbin, China.
Ming WanDepartment of In-Patient Ultrasound, The 2nd Affiliated Hospital of Harbin Medical University, Harbin, China.
Lingling LiuMedical Record Office, The 2nd Affiliated Hospital of Harbin Medical University, Harbin, China.
Xianli ZhouDepartment of In-Patient Ultrasound, The 2nd Affiliated Hospital of Harbin Medical University, Harbin, China.ORCID https://orcid.org/0009-0001-0958-5549

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAcute lung injury (ALI) is a common and rapidly developing critical inflammatory lung disease in clinic. This study investigated the predictive value of lncRNA UCA1, extravascular lung water index (EVLWI), and lung ultrasound score (LUS) in predicting the overall outcome of patients with ALI.

methodsPatients with ALI were recruited for detecting the content of UCA1, EVLWI, and LUS. All patients were cataloged into the survival group and death group according to the prognosis. The discrepancy of UCA1, EVLWI, and LUS was compared in the two groups. The prognostic significance of UCA1, EVLWI, LUS, and their combination was estimated by logistic regression and the receiver operating characteristic (ROC) curve.

resultsThe levels of UCA1, LUS, and EVLWI were elevated in the death group compared with the survival group. The content of UCA1 was positively correlated with LUS scores and EVLWI scores. UCA1, LUS, and EVLWI were independent indicators of predicting the prognosis of patients with ALI. The ROC curve reflected that UCA1, LUS, and EVLWI could forecast the endpoint events of patients with ALI whereas their combined approach had the highest accuracy.

conclusionHighly expressed UCA1 is a biomarker in forecasting the outcome of patients with ALI. It had high accuracy in predicting the endpoint of patients with ALI when combined with LUS and EVLWI.

Indexed as

Acute Lung InjuryRespiratory Distress SyndromeRNA, Long NoncodingExtravascular Lung WaterHumansLungPrognosisROC CurveRNA, Long Noncodingacute lung injuryEVLWILUSpredictionUCA1

Identifiers

PMID37321562
PMCPMC10363805

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