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Predictive value of long non‐coding RNA intersectin 1‐2 for occurrence and in‐hospital mortality of severe acute pancreatitis
BACKGROUND: This study aimed to investigate the predictive value of long non‐coding RNA intersectin 1‐2 (lnc‐ITSN1‐2) for severe acute pancreatitis (SAP) risk, and its correlation with disease severity and in‐hospital mortality in SAP patients. METHODS: Plasma samples from 60 SAP, 60 moderate‐severe...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7246381/ https://www.ncbi.nlm.nih.gov/pubmed/31880027 http://dx.doi.org/10.1002/jcla.23170 |
Sumario: | BACKGROUND: This study aimed to investigate the predictive value of long non‐coding RNA intersectin 1‐2 (lnc‐ITSN1‐2) for severe acute pancreatitis (SAP) risk, and its correlation with disease severity and in‐hospital mortality in SAP patients. METHODS: Plasma samples from 60 SAP, 60 moderate‐severe acute pancreatitis (MSAP) and 60 mild acute pancreatitis (MAP) patients were collected within 24 hours, and plasma samples from 60 age and gender‐matched healthy controls (HCs) were collected when enrollment. Lnc‐ITSN1‐2 was detected by reverse transcription‐quantitative polymerase chain reaction. In AP patients, disease severity was evaluated and in‐hospital deaths were recorded. RESULTS: Lnc‐ITSN1‐2 was increased in SAP patients compared with MSAP, MAP patients, and HCs, and it is well‐discriminated SAP patients from MSAP patients (area under curve (AUC): 0.699, 95% confidence interval (CI): 0.605‐0.792), MAP patients (AUC: 0.862, 95% CI: 0.798‐0.926), and HCs (AUC: 0.958, 95% CI: 0.925‐0.990). For disease severity, lnc‐ITSN1‐2 was positively correlated with Ranson's score, acute pathologic and chronic health evaluation (APACHE) II score, sequential organ failure assessment (SOFA) score, and C‐reactive protein (CRP) in SAP patients, MSAP patients, and MAP patients; meanwhile, the correlation coefficients were highest in SAP patients. Furthermore, lnc‐ITSN1‐2 displayed a good predictive value for increased in‐hospital mortality in SAP (AUC: 0.803, 95% CI: 0.673‐0.933) and MSAP (AUC: 0.854, 95% CI: 0.752‐0.956) patients, which was similar with several common prognostic factors (including Ranson's score, APACHE II score, SOFA score, and CRP). CONCLUSION: Lnc‐ITSN1‐2 might be a potential biomarker for discrimination of SAP to improve the prognosis of SAP patients. |
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