C-Reactive Protein Is an Independent Predictor of 30-Day Bacterial Infection Post-Liver Transplantation

The relationship between aseptic systemic inflammation and postoperative bacterial infection is unclear. We investigated the correlation of systemic inflammation biomarkers with 30-day clinically significant bacterial infections (CSI) after liver transplantation (LT). This retrospective study enroll...

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Main Authors: Jiong Yu, Xiaowei Shi, Jing Ma, Ronggao Chen, Siyi Dong, Sen Lu, Jian Wu, Cuilin Yan, Shusen Zheng, Lanjuan Li, Xiao Xu, Hongcui Cao
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Biomolecules
Subjects:
Online Access:https://www.mdpi.com/2218-273X/11/8/1195
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record_format Article
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language English
format Article
sources DOAJ
author Jiong Yu
Xiaowei Shi
Jing Ma
Ronggao Chen
Siyi Dong
Sen Lu
Jian Wu
Cuilin Yan
Jian Wu
Shusen Zheng
Lanjuan Li
Xiao Xu
Hongcui Cao
spellingShingle Jiong Yu
Xiaowei Shi
Jing Ma
Ronggao Chen
Siyi Dong
Sen Lu
Jian Wu
Cuilin Yan
Jian Wu
Shusen Zheng
Lanjuan Li
Xiao Xu
Hongcui Cao
C-Reactive Protein Is an Independent Predictor of 30-Day Bacterial Infection Post-Liver Transplantation
Biomolecules
liver transplantation
systemic inflammation
C-reactive protein
MELD score
bacterial infection
author_facet Jiong Yu
Xiaowei Shi
Jing Ma
Ronggao Chen
Siyi Dong
Sen Lu
Jian Wu
Cuilin Yan
Jian Wu
Shusen Zheng
Lanjuan Li
Xiao Xu
Hongcui Cao
author_sort Jiong Yu
title C-Reactive Protein Is an Independent Predictor of 30-Day Bacterial Infection Post-Liver Transplantation
title_short C-Reactive Protein Is an Independent Predictor of 30-Day Bacterial Infection Post-Liver Transplantation
title_full C-Reactive Protein Is an Independent Predictor of 30-Day Bacterial Infection Post-Liver Transplantation
title_fullStr C-Reactive Protein Is an Independent Predictor of 30-Day Bacterial Infection Post-Liver Transplantation
title_full_unstemmed C-Reactive Protein Is an Independent Predictor of 30-Day Bacterial Infection Post-Liver Transplantation
title_sort c-reactive protein is an independent predictor of 30-day bacterial infection post-liver transplantation
publisher MDPI AG
series Biomolecules
issn 2218-273X
publishDate 2021-08-01
description The relationship between aseptic systemic inflammation and postoperative bacterial infection is unclear. We investigated the correlation of systemic inflammation biomarkers with 30-day clinically significant bacterial infections (CSI) after liver transplantation (LT). This retrospective study enrolled 940 patients who received LT and were followed for 30 days. The primary end point was 30-day CSI events. The cohort was divided into exploratory (<i>n</i> = 508) and validation (<i>n</i> = 432) sets according to different centers. Area under the receiver operated characteristic (AUROC) and Cox regression models were fitted to study the association between baseline systemic inflammation levels and CSI after LT. A total of 255 bacterial infectious events in 209 recipients occurred. Among systemic inflammation parameters, baseline C-reactive protein (CRP) was independently associated with 30-day CSI in the exploratory group. The combination of CRP and organ failure number showed a good discrimination for 30-day CSI (AUROC = 0.80, 95% CI, 0.76–0.84) and the results were confirmed in an external verification group. Additionally, CRP levels were correlated with bacterial product lipopolysaccharide. In conclusion, our study suggests that pre-transplantation CRP is independent of other prognostic factors for 30-day CSI post-LT, and can be integrated into tools for assessing the risk of bacterial infection post-LT or as a component of prognostic models.
topic liver transplantation
systemic inflammation
C-reactive protein
MELD score
bacterial infection
url https://www.mdpi.com/2218-273X/11/8/1195
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spelling doaj-34be5f6ad0ba48dab2f39504b55766f02021-08-26T13:33:53ZengMDPI AGBiomolecules2218-273X2021-08-01111195119510.3390/biom11081195C-Reactive Protein Is an Independent Predictor of 30-Day Bacterial Infection Post-Liver TransplantationJiong Yu0Xiaowei Shi1Jing Ma2Ronggao Chen3Siyi Dong4Sen Lu5Jian Wu6Cuilin Yan7Jian Wu8Shusen Zheng9Lanjuan Li10Xiao Xu11Hongcui Cao12State Key Laboratory for the Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou 310003, ChinaState Key Laboratory for the Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou 310003, ChinaState Key Laboratory for the Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou 310003, ChinaNHC Key Laboratory of Combined Multi-Organ Transplantation, Key Laboratory of the Diagnosis and Treatment of Organ Transplantation, CAMS, Hangzhou 310003, ChinaNHC Key Laboratory of Combined Multi-Organ Transplantation, Key Laboratory of the Diagnosis and Treatment of Organ Transplantation, CAMS, Hangzhou 310003, ChinaDepartment of Colorectal Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, ChinaState Key Laboratory for the Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou 310003, ChinaState Key Laboratory for the Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou 310003, ChinaNHC Key Laboratory of Combined Multi-Organ Transplantation, Key Laboratory of the Diagnosis and Treatment of Organ Transplantation, CAMS, Hangzhou 310003, ChinaState Key Laboratory for the Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou 310003, ChinaState Key Laboratory for the Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou 310003, ChinaState Key Laboratory for the Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou 310003, ChinaState Key Laboratory for the Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou 310003, ChinaThe relationship between aseptic systemic inflammation and postoperative bacterial infection is unclear. We investigated the correlation of systemic inflammation biomarkers with 30-day clinically significant bacterial infections (CSI) after liver transplantation (LT). This retrospective study enrolled 940 patients who received LT and were followed for 30 days. The primary end point was 30-day CSI events. The cohort was divided into exploratory (<i>n</i> = 508) and validation (<i>n</i> = 432) sets according to different centers. Area under the receiver operated characteristic (AUROC) and Cox regression models were fitted to study the association between baseline systemic inflammation levels and CSI after LT. A total of 255 bacterial infectious events in 209 recipients occurred. Among systemic inflammation parameters, baseline C-reactive protein (CRP) was independently associated with 30-day CSI in the exploratory group. The combination of CRP and organ failure number showed a good discrimination for 30-day CSI (AUROC = 0.80, 95% CI, 0.76–0.84) and the results were confirmed in an external verification group. Additionally, CRP levels were correlated with bacterial product lipopolysaccharide. In conclusion, our study suggests that pre-transplantation CRP is independent of other prognostic factors for 30-day CSI post-LT, and can be integrated into tools for assessing the risk of bacterial infection post-LT or as a component of prognostic models.https://www.mdpi.com/2218-273X/11/8/1195liver transplantationsystemic inflammationC-reactive proteinMELD scorebacterial infection