Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Predictive value of long non‐coding RNA intersectin 1‐2 for occurrence and in‐hospital mortality of severe acute pancreatitis
by
Li, Jun
, Chen, Xuanlan
, Yu, Li
, Bu, Xiaofen
, Xiong, Peng
, Chen, Zhen
in
Age
/ Aged
/ Cardiovascular disease
/ Case-Control Studies
/ China
/ disease severity
/ Enrollments
/ Etiology
/ Female
/ Gender
/ Gene Expression Regulation
/ Genetic Markers
/ Hospital Mortality
/ Hospitals
/ Humans
/ Inflammation
/ Intersectin
/ in‐hospital mortality
/ long non‐coding RNA intersectin 1‐2
/ Male
/ Middle Aged
/ Mortality
/ Multiple organ dysfunction syndrome
/ Non-coding RNA
/ Pancreatitis
/ Pancreatitis - genetics
/ Pancreatitis - mortality
/ Pancreatitis - therapy
/ Patients
/ Polymerase chain reaction
/ predictive factor
/ Proteins
/ Reverse transcription
/ Rheumatoid arthritis
/ Ribonucleic acid
/ RNA
/ RNA, Long Noncoding - genetics
/ severe acute pancreatitis
/ Standard deviation
/ Statistical analysis
/ Variance analysis
2020
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Predictive value of long non‐coding RNA intersectin 1‐2 for occurrence and in‐hospital mortality of severe acute pancreatitis
by
Li, Jun
, Chen, Xuanlan
, Yu, Li
, Bu, Xiaofen
, Xiong, Peng
, Chen, Zhen
in
Age
/ Aged
/ Cardiovascular disease
/ Case-Control Studies
/ China
/ disease severity
/ Enrollments
/ Etiology
/ Female
/ Gender
/ Gene Expression Regulation
/ Genetic Markers
/ Hospital Mortality
/ Hospitals
/ Humans
/ Inflammation
/ Intersectin
/ in‐hospital mortality
/ long non‐coding RNA intersectin 1‐2
/ Male
/ Middle Aged
/ Mortality
/ Multiple organ dysfunction syndrome
/ Non-coding RNA
/ Pancreatitis
/ Pancreatitis - genetics
/ Pancreatitis - mortality
/ Pancreatitis - therapy
/ Patients
/ Polymerase chain reaction
/ predictive factor
/ Proteins
/ Reverse transcription
/ Rheumatoid arthritis
/ Ribonucleic acid
/ RNA
/ RNA, Long Noncoding - genetics
/ severe acute pancreatitis
/ Standard deviation
/ Statistical analysis
/ Variance analysis
2020
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Predictive value of long non‐coding RNA intersectin 1‐2 for occurrence and in‐hospital mortality of severe acute pancreatitis
by
Li, Jun
, Chen, Xuanlan
, Yu, Li
, Bu, Xiaofen
, Xiong, Peng
, Chen, Zhen
in
Age
/ Aged
/ Cardiovascular disease
/ Case-Control Studies
/ China
/ disease severity
/ Enrollments
/ Etiology
/ Female
/ Gender
/ Gene Expression Regulation
/ Genetic Markers
/ Hospital Mortality
/ Hospitals
/ Humans
/ Inflammation
/ Intersectin
/ in‐hospital mortality
/ long non‐coding RNA intersectin 1‐2
/ Male
/ Middle Aged
/ Mortality
/ Multiple organ dysfunction syndrome
/ Non-coding RNA
/ Pancreatitis
/ Pancreatitis - genetics
/ Pancreatitis - mortality
/ Pancreatitis - therapy
/ Patients
/ Polymerase chain reaction
/ predictive factor
/ Proteins
/ Reverse transcription
/ Rheumatoid arthritis
/ Ribonucleic acid
/ RNA
/ RNA, Long Noncoding - genetics
/ severe acute pancreatitis
/ Standard deviation
/ Statistical analysis
/ Variance analysis
2020
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Predictive value of long non‐coding RNA intersectin 1‐2 for occurrence and in‐hospital mortality of severe acute pancreatitis
Journal Article
Predictive value of long non‐coding RNA intersectin 1‐2 for occurrence and in‐hospital mortality of severe acute pancreatitis
2020
Request Book From Autostore
and Choose the Collection Method
Overview
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.
Publisher
John Wiley & Sons, Inc,John Wiley and Sons Inc
Subject
This website uses cookies to ensure you get the best experience on our website.