Cargando…
Predictors of postoperative infectious complications in liver transplant recipients: experience of 185 consecutive cases
BACKGROUND/AIMS: Infections following liver transplant (LT) remain a major cause of mortality. This study was conducted to evaluate risk factors for infection and to review clinical characteristics. METHODS: Medical records of patients who underwent LT from 2010 to 2014 were retrospectively analyzed...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Korean Association of Internal Medicine
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6030419/ https://www.ncbi.nlm.nih.gov/pubmed/29466849 http://dx.doi.org/10.3904/kjim.2017.230 |
_version_ | 1783337149156818944 |
---|---|
author | Lim, Seungjin Kim, Eun Jung Lee, Tae Beom Choi, Byung Hyun Park, Young Mok Yang, Kwangho Ryu, Je Ho Chu, Chong Woo Lee, Su Jin |
author_facet | Lim, Seungjin Kim, Eun Jung Lee, Tae Beom Choi, Byung Hyun Park, Young Mok Yang, Kwangho Ryu, Je Ho Chu, Chong Woo Lee, Su Jin |
author_sort | Lim, Seungjin |
collection | PubMed |
description | BACKGROUND/AIMS: Infections following liver transplant (LT) remain a major cause of mortality. This study was conducted to evaluate risk factors for infection and to review clinical characteristics. METHODS: Medical records of patients who underwent LT from 2010 to 2014 were retrospectively analyzed. Binary logistic regression analysis was used to investigate risk factors of infection. Kaplan-Meier analysis was used to predict prognosis of infected and non-infected groups. RESULTS: Of 185 recipients, 89 patients experienced infectious complications. The median follow-up period was 911 days (range, 9 to 2,031). The infected group had higher 1-year mortality (n = 22 [24.7%] vs. n = 8, [8.3%], p = 0.002), and longer postoperative admission days (mean: 53.7 ± 35.8 days vs. 28.3 ± 13.0 days, p < 0.001), compared to the non-infected group. High preoperative Model for End-Stage Liver Disease (MELD) score (odds ratio [OR], 1.057; 95% confidence interval [CI], 1.010 to 1.105; p = 0.016), deceased-donor type (OR, 5.475; 95% CI, 2.442 to 12.279; p < 0.001), and acute rejection (OR, 3.042; 95% CI, 1.241 to 7.454; p = 0.015) were independent risk factors associated with infection. Intra-abdominal infection (n = 35, 20.8%) was the major infectious complication. Among identified bacteria, Enterococcus species (28.4%) were major pathogens, followed by Escherichia coli and Klebsiella species. CONCLUSIONS: High preoperative MELD score, deceased-donor type, and acute rejection were risk factors associated with infection. To prevent infections following surgery, it is important to determine the appropriate time of operation before the recipient has a high MELD score. |
format | Online Article Text |
id | pubmed-6030419 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | The Korean Association of Internal Medicine |
record_format | MEDLINE/PubMed |
spelling | pubmed-60304192018-07-06 Predictors of postoperative infectious complications in liver transplant recipients: experience of 185 consecutive cases Lim, Seungjin Kim, Eun Jung Lee, Tae Beom Choi, Byung Hyun Park, Young Mok Yang, Kwangho Ryu, Je Ho Chu, Chong Woo Lee, Su Jin Korean J Intern Med Original Article BACKGROUND/AIMS: Infections following liver transplant (LT) remain a major cause of mortality. This study was conducted to evaluate risk factors for infection and to review clinical characteristics. METHODS: Medical records of patients who underwent LT from 2010 to 2014 were retrospectively analyzed. Binary logistic regression analysis was used to investigate risk factors of infection. Kaplan-Meier analysis was used to predict prognosis of infected and non-infected groups. RESULTS: Of 185 recipients, 89 patients experienced infectious complications. The median follow-up period was 911 days (range, 9 to 2,031). The infected group had higher 1-year mortality (n = 22 [24.7%] vs. n = 8, [8.3%], p = 0.002), and longer postoperative admission days (mean: 53.7 ± 35.8 days vs. 28.3 ± 13.0 days, p < 0.001), compared to the non-infected group. High preoperative Model for End-Stage Liver Disease (MELD) score (odds ratio [OR], 1.057; 95% confidence interval [CI], 1.010 to 1.105; p = 0.016), deceased-donor type (OR, 5.475; 95% CI, 2.442 to 12.279; p < 0.001), and acute rejection (OR, 3.042; 95% CI, 1.241 to 7.454; p = 0.015) were independent risk factors associated with infection. Intra-abdominal infection (n = 35, 20.8%) was the major infectious complication. Among identified bacteria, Enterococcus species (28.4%) were major pathogens, followed by Escherichia coli and Klebsiella species. CONCLUSIONS: High preoperative MELD score, deceased-donor type, and acute rejection were risk factors associated with infection. To prevent infections following surgery, it is important to determine the appropriate time of operation before the recipient has a high MELD score. The Korean Association of Internal Medicine 2018-07 2018-02-23 /pmc/articles/PMC6030419/ /pubmed/29466849 http://dx.doi.org/10.3904/kjim.2017.230 Text en Copyright © 2018 The Korean Association of Internal Medicine This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Lim, Seungjin Kim, Eun Jung Lee, Tae Beom Choi, Byung Hyun Park, Young Mok Yang, Kwangho Ryu, Je Ho Chu, Chong Woo Lee, Su Jin Predictors of postoperative infectious complications in liver transplant recipients: experience of 185 consecutive cases |
title | Predictors of postoperative infectious complications in liver transplant recipients: experience of 185 consecutive cases |
title_full | Predictors of postoperative infectious complications in liver transplant recipients: experience of 185 consecutive cases |
title_fullStr | Predictors of postoperative infectious complications in liver transplant recipients: experience of 185 consecutive cases |
title_full_unstemmed | Predictors of postoperative infectious complications in liver transplant recipients: experience of 185 consecutive cases |
title_short | Predictors of postoperative infectious complications in liver transplant recipients: experience of 185 consecutive cases |
title_sort | predictors of postoperative infectious complications in liver transplant recipients: experience of 185 consecutive cases |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6030419/ https://www.ncbi.nlm.nih.gov/pubmed/29466849 http://dx.doi.org/10.3904/kjim.2017.230 |
work_keys_str_mv | AT limseungjin predictorsofpostoperativeinfectiouscomplicationsinlivertransplantrecipientsexperienceof185consecutivecases AT kimeunjung predictorsofpostoperativeinfectiouscomplicationsinlivertransplantrecipientsexperienceof185consecutivecases AT leetaebeom predictorsofpostoperativeinfectiouscomplicationsinlivertransplantrecipientsexperienceof185consecutivecases AT choibyunghyun predictorsofpostoperativeinfectiouscomplicationsinlivertransplantrecipientsexperienceof185consecutivecases AT parkyoungmok predictorsofpostoperativeinfectiouscomplicationsinlivertransplantrecipientsexperienceof185consecutivecases AT yangkwangho predictorsofpostoperativeinfectiouscomplicationsinlivertransplantrecipientsexperienceof185consecutivecases AT ryujeho predictorsofpostoperativeinfectiouscomplicationsinlivertransplantrecipientsexperienceof185consecutivecases AT chuchongwoo predictorsofpostoperativeinfectiouscomplicationsinlivertransplantrecipientsexperienceof185consecutivecases AT leesujin predictorsofpostoperativeinfectiouscomplicationsinlivertransplantrecipientsexperienceof185consecutivecases |