A practical nomogram based on serum interleukin-6 for the prognosis of liver failure

BackgroundLiver failure (LF) is a serious liver function damage caused by various factors, mainly jaundice, hepatic encephalopathy, coagulation disorders and multiple organ failure, with the clinical characteristic of high short-term mortality. LF is often accompanied by excessive activation of infl...

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Main Authors: Nanxi Xiao, Linxiang Liu, Yue Zhang, Yuan Nie, Xuan Zhu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-11-01
Series:Frontiers in Medicine
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2022.1035699/full
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author Nanxi Xiao
Linxiang Liu
Yue Zhang
Yuan Nie
Xuan Zhu
author_facet Nanxi Xiao
Linxiang Liu
Yue Zhang
Yuan Nie
Xuan Zhu
author_sort Nanxi Xiao
collection DOAJ
description BackgroundLiver failure (LF) is a serious liver function damage caused by various factors, mainly jaundice, hepatic encephalopathy, coagulation disorders and multiple organ failure, with the clinical characteristic of high short-term mortality. LF is often accompanied by excessive activation of inflammatory factors, and an excessive systemic inflammatory response (i.e., inflammatory storm) is considered to be the trigger of LF. However, a specific prognostic model including inflammatory factors for patients with LF has not been well established.AimTo establish and validate a nomogram for predicting 28-day, 90-day, and 180-day mortality in patients with LF.MethodsA total of 423 eligible LF patients were enrolled in this retrospective study. Independent predictors were identified using a multivariate logistic model and then integrated into a nomogram to predict 28-day, 90-day, and 180-day mortality. The concordance index, receiver operating characteristic curves, and calibration plots were used to evaluate the performance of the model.ResultsSex, age, total bilirubin, aspartate aminotransferase, international normalized ratio, Child–Pugh score, and serum interleukin-6 were independent risk factors for death at 28, 90, and 180 days in LF patients. The nomogram showed good calibration and discrimination with an area under the receiver operating characteristic curve (AUC) of 0.927. The calibration curve fit as well, indicating that the nomogram had good clinical application value.ConclusionThis nomogram model for predicting the 28-day, 90-day, and 180-day mortality of LF patients could help optimize treatment strategies and improve prognosis.
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spelling doaj.art-2c1142f731594e988bd1b6b99a7c20ec2022-12-22T04:35:34ZengFrontiers Media S.A.Frontiers in Medicine2296-858X2022-11-01910.3389/fmed.2022.10356991035699A practical nomogram based on serum interleukin-6 for the prognosis of liver failureNanxi XiaoLinxiang LiuYue ZhangYuan NieXuan ZhuBackgroundLiver failure (LF) is a serious liver function damage caused by various factors, mainly jaundice, hepatic encephalopathy, coagulation disorders and multiple organ failure, with the clinical characteristic of high short-term mortality. LF is often accompanied by excessive activation of inflammatory factors, and an excessive systemic inflammatory response (i.e., inflammatory storm) is considered to be the trigger of LF. However, a specific prognostic model including inflammatory factors for patients with LF has not been well established.AimTo establish and validate a nomogram for predicting 28-day, 90-day, and 180-day mortality in patients with LF.MethodsA total of 423 eligible LF patients were enrolled in this retrospective study. Independent predictors were identified using a multivariate logistic model and then integrated into a nomogram to predict 28-day, 90-day, and 180-day mortality. The concordance index, receiver operating characteristic curves, and calibration plots were used to evaluate the performance of the model.ResultsSex, age, total bilirubin, aspartate aminotransferase, international normalized ratio, Child–Pugh score, and serum interleukin-6 were independent risk factors for death at 28, 90, and 180 days in LF patients. The nomogram showed good calibration and discrimination with an area under the receiver operating characteristic curve (AUC) of 0.927. The calibration curve fit as well, indicating that the nomogram had good clinical application value.ConclusionThis nomogram model for predicting the 28-day, 90-day, and 180-day mortality of LF patients could help optimize treatment strategies and improve prognosis.https://www.frontiersin.org/articles/10.3389/fmed.2022.1035699/fullliver failureinflammatory factorsdiagnosisprognosissystemic inflammation
spellingShingle Nanxi Xiao
Linxiang Liu
Yue Zhang
Yuan Nie
Xuan Zhu
A practical nomogram based on serum interleukin-6 for the prognosis of liver failure
Frontiers in Medicine
liver failure
inflammatory factors
diagnosis
prognosis
systemic inflammation
title A practical nomogram based on serum interleukin-6 for the prognosis of liver failure
title_full A practical nomogram based on serum interleukin-6 for the prognosis of liver failure
title_fullStr A practical nomogram based on serum interleukin-6 for the prognosis of liver failure
title_full_unstemmed A practical nomogram based on serum interleukin-6 for the prognosis of liver failure
title_short A practical nomogram based on serum interleukin-6 for the prognosis of liver failure
title_sort practical nomogram based on serum interleukin 6 for the prognosis of liver failure
topic liver failure
inflammatory factors
diagnosis
prognosis
systemic inflammation
url https://www.frontiersin.org/articles/10.3389/fmed.2022.1035699/full
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