Literature DB >> 30515269

Bloodstream infection due to Escherichia coli in liver cirrhosis patients: clinical features and outcomes.

Bo Tu1, Jingfeng Bi2, Dan Wu1, Peng Zhao1, Lei Shi1, Yangxin Xie1, Xin Zhang1, Zhe Xu1, Suxia Liu3, Xinhua Wang4, Xiaoxi Li5, Fusheng Wang1, Enqiang Qin1.   

Abstract

OBJECTIVES: The study aimed to investigate the clinical characteristics and antibiotic management, as well as independent indicators for survival within 30 days for Escherichia coli bloodstream infection (BSI) in liver cirrhosis.
RESULTS: Hospital-acquired BSI accounted for 60.07%, with prolonged hospital stay (P = 0.000). The prevalence of Extended Spectrum Beta-Lactamases (ESBL) producing bacteria was 48.26%, which correlated with ICU admission (P = 0.015) and high model for end-stage liver disease (MELD) score at onset of BSI (P = 0.035). Moreover, ESBL producing pathogens showed a high resistant to the common antibiotic families and 27.5% pathogens were confirmed as multidrug-resistant (MDR). MDR infection was significantly correlated with ESBL production, ICU admission, inappropriate empiric therapy, resistance to firstly selected antibiotic, and infection duration (P < 0.05 for all). In addition, appropriate empiric therapy within 48 h (HR = 2.581, 95% CI = 1.166-5.715), ICU admission (HR = 4.434, 95% CI = 2.130-8.823), HE (HR = 2.379, 95% CI = 1.115-5.073) and final MELD (HR = 1.074, 95% CI = 1.044-1.106) were independent indicators for 30-day mortality.
MATERIALS AND METHODS: The clinical data were collected from 288 eligible patients, and compared according to survival status and sites of infection acquisition. Drug resistance was recorded according to ESBL. In addition, cox regression analysis model was applied to evaluate the risk factors for 30-day mortality.
CONCLUSIONS: ESBL production can promote resistance to antibiotics in Escherichia coli. Antibiotic regimens, ICU admission, HE and MELD score can help identify the risk individuals who will benefit from the improved therapeutic regimens.

Entities:  

Keywords:  ESBL; MELD; bloodstream infection; hospital-acquired BSI; liver cirrhosis

Year:  2017        PMID: 30515269      PMCID: PMC6254670          DOI: 10.18632/oncotarget.23200

Source DB:  PubMed          Journal:  Oncotarget        ISSN: 1949-2553


INTRODUCTION

Liver cirrhosis is a troublesome problem for public health worldwide, with high occurrence rate and mortality [1]. Cirrhosis is an advance stage of chronic liver disease, due to chronic infection with hepatitis virus, alcohol abuse, fat accumulation, autoimmune and metabolic alterations [2, 3]. Various complications are frequently observed in cirrhosis patients, such as acute kidney injury, portal vein thrombosis, variable abdominal pain [4, 5]. Among the complications, bacterial infection is a leading cause for death [6]. Unfortunately, patients with liver cirrhosis are more easily to be infected by pathogens due to impaired immunity, consequently poor outcomes [7-9]. Bloodstream infection (BSI) is a serious problem in many hospitalized patients, and is referred as being primary without obvious infection source, or secondary, arising as a complication of infection elsewhere (such as pneumonia, urinary tract, skin and soft tissues, intra-abdominal, device-related, etc) [10]. BSI is a common complication in liver cirrhosis [11]. It was reported that the frequencies of BSI in cirrhosis patients were 10 times higher than that in the non-cirrhosis group [12]. Two major reasons may lead to the high occurrence of BSI in cirrhosis patients: dysregulated intestinal bacterial translocation and cirrhosis associated immune dysfunction (CAID) [13]. The abnormal intestinal barrier permeability, overgrowth of small intestinal bacterial, and immune dysfunction may promote the bacteria into the bloodstream, leading to BSI [14, 15]. BSI is significantly associated with prolonged hospital stay, faster development of liver disease, and low survival rate [7, 16]. A population-based cohort study indicated that BSI was a predictor for mortality in liver cirrhosis patients [17] The most common pathogens for BSI include gram-negative entericbacilli, anaerobes, and Enterococcus spp. [13]. In the previous studies, several studies reported the clinical characteristics of BSI patients. However, few studies described the specific characteristics of Escherichia coli BSI patients. Timely and appropriately empirical antibiotic treatments are important for survival among BSI patients. Growing evidences have indicated that inappropriate antibiotic regimens are associated with increased mortality [18, 19]. Until now, the empirical antibiotics are still effective for infection treatments. However, its failure rate is increasing due to the growing prevalence of multidrug-resistant multidrug resistant (MDR) bacteria. MDR is defined as acquired non-susceptibility to at least one agent in three or more antimicrobial categories [20]. There are several common MDR, including extended-spectrum β-lactamase-producing bacteria (ESBL), methicillin-resistant Staphylococcus aureus (MRSA), etc [21]. ESBL productions is one of the major reasons for antibiotic resistance in Escherichia coli. Therefore, to investigate the association between ESBL status and clinical characteristics in liver cirrhosis patients presenting Escherichia coli BSI will be helpful to guide empirical therapy. In the present study, we aimed to investigate the clinical characteristics and antibiotic management, as well as independent risk factors for Escherichia coli BSI in liver cirrhosis patients. The liver disease of the patients were evaluated by Child-Pugh and model for end-stage liver disease (MELD) scores. We investigated the clinical characteristics of patients according to ESBL status of pathogens and survival status within 30 days after BSI diagnosis as well as sites of acquisition infection.

RESULTS

Baseline characteristics of the study population

There were 288 eligible patients in the present study, with average age of 51.95 ± 11.71 years. The study population included 204 males and 84 females and their mean times for hospital admission was 2.76 ± 3.29. Among the recruited patients, 213 (73.96%), 29 (10.07%), 32 (11.11%) and 14 (4.86%) patients were diagnosed with viral cirrhosis, alcoholic cirrhosis, autoimmune cirrhosis cases, and cryptogenic cirrhosis, respectively. The majority of the patients were classed as Child-Pugh class B (98, 34.03%) and C (171, 59.37%), while only few of them were diagnosed with class A (19, 6.60%). 45 of the patients were admitted to intensive care unit (ICU) ward (15.63%) (Table 1).
Table 1

Baseline characteristics of the collected patients

CharacteristicsPatients (n = 288, %)
Age (years)51.95 ± 11.71
Gender (male/female)204 (70.83)/84 (29.17)
Average times for hospital admission (times)2.76 ± 3.29
Clinical characteristics of the patients within 2 years before admission
Frequencies of SBP (mean ± SD)0.25 ± 0.70
Frequencies of pneumonia (mean ± SD)0.06 ± 0.31
Frequencies of septicemia (mean ± SD)0.04 ± 0.21
Admission condition
ICU admission (yes/no)45 (15.63)/243 (84.37)
Pathogenesis of cirrhosis
Viral213 (73.96)
Alcoholic29 (10.07)
Autoimmune32 (11.11)
Cryptogenic14 (4.86)
Combined with hepatocellular carcinoma (yes/no)69 (23.96)/219 (76.04)
Child-Pugh
A19 (6.60)
B98 (34.03)
C171 (59.37)
Mean MELD value16.84 ± 7.99
Complication during hospital stay
HE (yes/no)57 (19.79)/231 (80.21)
SBP (yes/no)141 (48.96)/147 (51.04)
Pneumonia (yes/no)26 (9.03)/262 (90.97)
Septic shock (yes/no)53 (18.40)/235 (81.60)
BSI data
Unknown cause228 (79.17)
Digestive tract31 (10.76)
Vascular intervention operation13 (4.51)
Skin intervention operation13 (4.51)
HCC3 (1.04)
ESBLs (+/−)139 (48.26)/149 (51.74)
Hospital-acquired BSI (yes/no)173 (60.07)/115 (39.93)
MELD at BSI15.79 ± 7.63
Δ MELD (at BSI-baseline) (mean ± SD)−1.04 ± 4.34
Susceptibility to the firstly selected antibiotic (sensitive/resistant)219 (76.04)/69 (23.96)
Shiver (yes/no)85 (29.51)/203 (70.49)
Chill (yes/no)51 (17.71)/237 (82.29)
Maximum body temperature (°C)39.16 ± 0.68
Clinical outcomes
Average duration in hospital (days)23.93 ± 16.99
Duration of infection (days)15.20 ± 11.69
Non-survivors34 (11.81)
Improved186 (64.58)
Invalid68 (23.61)
MELD16.12 ± 9.96
Appropriate empiric therapy within 48 h
Yes253 (87.85)
No35 (12.15)

Note: ICU: Intensive care unit; MELD: Model for end-stage liver diseases; HE: Hepatic encephalopathy; SBP: Spontaneous bacterial peritonitis; BSI: Bloodstream infections; ESBLs: Extended spectrum beta-lactamases; HCC: Hepatocellular carcinoma.

Note: ICU: Intensive care unit; MELD: Model for end-stage liver diseases; HE: Hepatic encephalopathy; SBP: Spontaneous bacterial peritonitis; BSI: Bloodstream infections; ESBLs: Extended spectrum beta-lactamases; HCC: Hepatocellular carcinoma. In addition, 60.07% (173/288) of the study subjects were diagnosed with hospital-acquired BSI. The source of BSI included primary infection with unknown cause (228, 79.17%), and secondary infection with digestive tract (31, 10.76%), vascular intervention operation (13, 4.51%), skin intervention operation (13, 4.51%) and HCC (3, 1.04%). 139 (48.26%) of the collected patients were diagnosed with ESBL positive (ESBL+), while 149 (51.74%) patients were confirmed with ESBL negative (ESBL−). The average infection time for the study subjects was 15.20 ± 11.69 days. 253 (87.85%) patients received appropriate empiric therapy within 48h after BSI diagnosis, while 35 (12.15%) patients were treated with inappropriate antibiotics. The average duration in hospital of the study subjects was 23.93 ± 16.99 days. 30 days after BSI diagnosis, the condition of 186 (64.85%) patients were significantly improved, while therapeutic approaches were invalid in 68 (23.61%) patients. Overall 34 patients were dead and the mortality was 11.81%. The clinical characteristics of the study population were listed in Table 1.

Clinical effects of hospital-acquired BSI in cirrhosis patients with BSI

Among the collected patients, the prevalence of hospital acquired BSI was 60.07%. We evaluated the effects of sites of acquisition infection on clinical characteristics of the study population. Analysis results indicated that cirrhosis patients with hospital-acquired BSI had a longer hospital stay than those without hospital acquired BSI (P = 0.000). Moreover, the MELD score at the discharged was also significantly associated with hospital acquired BSI (P = 0.000) (Table 2).
Table 2

Comparison of clinical characteristics in the study population according to their acquisition sites of infections, 30-day survival status

FactorsAcquisition sites of infections30-day survival status
Hospital-acquired BSI (n = 173)Non hospital-acquired BSI (n = 115)P valueSurvivors (n = 254)Non-survivors (n = 34)P value
Child-Pugh0.2720.058
A145190
B5444908
C1056614526
ESBL0.1180.829
+776212217
-965313217
Hospital-acquired BSI-0.874
yes--15320
no--10114
ICU admission0.3150.000
yes24213015
no1499422419
Pathogenesis of cirrhosis0.7280.554
viral1328119023
alcoholic1613254
autoimmune1715266
cryptogenic86131
HCC0.6620.715
yes4326609
no1308919425
BSI source0.4960.006
unknown cause1379120622
digestive tract16152110
vascular intervention operation94121
skin intervention operation85121
HCC3030
HE0.7080.004
yes33244413
no1409121021
SBP0.2020.621
yes905112318
no1836413116
Pneumonia0.8730.000
yes1610179
no15710523725
Septic shock0.2340.000
yes28253815
no1459021619
Susceptibility to the firstly selected antibiotic0.6930.493
sensitive133866110
resistant402919324
Hospital stays (days)29.22 ± 18.1415.98 ± 11.120.00024.29 ± 16.7721.29 ± 18.600.335
Clinical outcomes0.124-
non-survivors2014034
improved105811860
invalid4820680
MELD at admission17.48 ± 8.2215.87 ± 7.570.09416.23 ± 7.6121.38 ± 9.310.000
MELD at onset of BSI15.67 ± 7.315.98/ ± 8.140.73515.28 ± 7.2119.62 ± 9.520.002
Final MELD17.83 ± 10.2313.54 ± 8.980.00015.02 ± 8.8224.35 ± 13.690.000
Duration of infection (days)14.96 ± 12.2015.57 ± 10.930.66312.29 ± 12.7115.59 ± 11.520.122
Appropriate empiric therapy within 48h0.1380.003
yes1539722624
no17182810

Note: ICU: Intensive care unit; MELD: Model for end-stage liver diseases; HE: Hepatic encephalopathy; SBP: Spontaneous bacterial peritonitis; BSI: Bloodstream infections; ESBLs: Extended spectrum beta-lactamases; HCC: Hepatocellular carcinoma; Final MELD: detected at discharged.

Note: ICU: Intensive care unit; MELD: Model for end-stage liver diseases; HE: Hepatic encephalopathy; SBP: Spontaneous bacterial peritonitis; BSI: Bloodstream infections; ESBLs: Extended spectrum beta-lactamases; HCC: Hepatocellular carcinoma; Final MELD: detected at discharged.

Effects of ESBLs status on clinical characteristics based on study group

The patients were dived into two groups according to ESBL status of their isolates: ESBL+ (n = 139) and ESBL− (n = 149). The prevalence of ESBL producing bacteria was 48.26%. We compared the clinical characteristics between the two groups. Analysis results indicated that ICU (P = 0.018) and MELD at onset of BSI (P = 0.035) were significantly associated with status of ESBL. In addition, we also found that liver cirrhosis patients infected by ESBL positive bacteria showed low sensitivity to firstly selected antibiotics (P = 0.017), moreover, ESBL infection was significantly correlated with inappropriate empiric therapy within 48 h (P = 0.049). Other factors were similar between the two groups (P > 0.05 for all) (Table 3).
Table 3

Effects of infection characteristics on clinical symptoms among the study population

FactorsESBL statusMDR infection
ESBLs positive (n = 139)ESBLs negative (n = 149)P valueMDR positive (n = 55)MDR negative (n = 145)P value
Child-Pugh0.7240.424
A + B55622164
C84873480
ESBL status-0.000
positive--4839
negative--7105
Hospital-acquired BSI0.1180.774
yes77963287
no62532357
ICU admission0.0180.005
yes29161618
no11013339126
Septic shock0.8980.052
yes26271522
no11312240122
Susceptibility to the firstly selected antibiotic0.0170.025
sensitive9612136116
resistant43281928
Clinical outcomes0.9730.840
Non-survivors1717919
improved89973391
invalid33351334
MELD at admission16.27 ± 8.2717.37 ± 7.720.24216.36 ± 7.5317.44 ± 8.350.406
MELD at onset of BSI14.81 ± 7.5316.71 ± 7.640.03515.16 ± 7.9816.17 ± 7.240.396
Final MELD15.18 ± 9.9516.99 ± 9.920.12315.69 ± 9.7017.23 ± 10.610.351
Duration of infection (days)15.26 ± 11.1315.15 ± 12.230.94016.20 ± 12.2112.07 ± 7.710.021
Appropriate antibiotics within 48h0.0490.011
yes11513541128
no24411416

Note: MDR: Multi-drug resistance.

Note: MDR: Multi-drug resistance.

Drug susceptibility analysis

In the present study, we compared drug susceptibility according to ESBL status of the isolated pathogens. The results demonstrated that the susceptibilities to cefoperazone (P = 0.000), ceftriaxone (P = 0.000), cefepime (P = 0.000), cefotaxime (P = 0.000), ceftazidime (P = 0.000), levofloxacin (P = 0.000), gatifloxacin (P = 0.022), piperacillin (P = 0.000), SMZCO (P = 0.000), aztreonam (P = 0.000), fosfomycin (P = 0.023), furadantin (P = 0.025), ticarcillin/clavulanate potassium (P = 0.016), and ampicillin (P = 0.000) were significantly influenced by ESBL status. On the other side, ESBL status were not correlated with resistance to cefoperazone-sulbactam, cefmetazon, meropenem, amikacin, minocycline, and piperacillin/tazobactam (P > 0.05 for all) (Table 4). It was worth noting that among the isolated bacteria, two of them showed resistant to carbapenems antibiotics, which confirmed as carbapenems resistant Enterobacteriaceae (CRE) with the prevalence of 1.83%. The carbapernems resistant bacteria increased the difficulty of antibiotic management.
Table 4

Comparison of drug resistance between ESBL positive and negative bacteria

AntibioticsESBL (+)ESBL (–)P value
Total numberResistant rate (n, %)Total numberResistant rate (n, %)
Cefoperazone8348 (57.83)444 (9.10)0.000
Cefperazone-Sulbactam842 (2.38)660 (0.00)0.207
Ceftriaxone107107 (100.00)827 (8.54)0.000
Cefmetazon883 (3.40)700 (0.00)0.119
Cefepime10758 (54.20)825 (6.10)0.000
Cefotaxime2524 (96.00)150 (0.00)0.000
Ceftazidime10872 (66.67)847 (8.33)0.000
Levofloxacin10766 (61.68)8322 (26.51)0.000
Gatifloxacin2417 (70.83)155 (33.33)0.022
Imipenem1092 (1.83)830 (0.00)0.215
Meropenem1031 (0.97)810 (0.00)0.374
Amikacin1083 (2.78)811 (1.23)0.466
Piperacillin6058 (96.67)5226 (50.00)0.000
Minocycline269 (34.61)162 (12.50)0.113
SMZCO10988 (80.73)8247 (57.32)0.000
Aztreonam10772 (67.29)824 (4.88)0.000
Fosfomycin689 (13.23)541 (1.85)0.023
Furadantin849 (10.71)661 (1.51)0.025
Ticarcillin/Clavulanate Potassium9350 (53.76)6924 (34.78)0.016
Piperacillin/tazobactam1077 (6.54)841 (1.19)0.067
Ampicillin106103 (97.17)7853 (67.95)0.000
Based on their resistance to antibiotics, 27.5% of the isolated bacteria were confirmed as MDR pathogens. We investigated the association between MDR and clinical characteristics. The results suggested that ESBL status (P = 0.000), ICU admission (P = 0.005), susceptibility to the firstly selected antibiotic (P = 0.025), appropriate empiric therapy within 48h (P = 0.011), and duration of infection (P = 0.021) were significantly correlated with MDR. However, there were no statistic correlation between MDR and other characteristics (P > 0.05 for all) (Table 3).

Risk factors for 30-day mortality based on study population

The clinical characteristics of survivors (n = 254) and non-survivors (n = 34) were compared in the study. The results demonstrated that ICU admission (P = 0.000), BSI sources (P = 0.006), hepatic encephalopathy (HE) (P = 0.004), pneumonia (P = 0.000), septic shock (P = 0.000), MELD at admission (P = 0.000), onset of BSI (P = 0.002), discharged (P = 0.000) and appropriate empiric therapy within 48 h (P = 0.003) were significantly different between survivors and non-survivors. In addition, other indexes did not influence the survival status (P > 0.05 for all) (Table 2). Timely and appropriate antibiotic treatments were extremely important for survival in liver cirrhosis patients developing to BSI. Survival curve demonstrated that patients received appropriate empiric therapy within 48 h after BSI diagnosis had a significantly higher survival rate than those treated with inappropriate antibiotics (log rank test, P = 0.001) (Figure 1).
Figure 1

Overall survival analysis for the study subjects according to therapeutic regimens

The results demonstrated that patients who received appropriate antibiotic within 48 h had a higher survival than those treated with inappropriate antibiotics within 48 h (log rank test, P = 0.001).

Overall survival analysis for the study subjects according to therapeutic regimens

The results demonstrated that patients who received appropriate antibiotic within 48 h had a higher survival than those treated with inappropriate antibiotics within 48 h (log rank test, P = 0.001). Cox regression model was applied to evaluate the risk factors for 30-day mortality among the collected patients. Univariate analyses indicated that appropriate empiric therapy within 48 h, ICU admission, HE, pneumonia, septic shock, MELD at onset of BSI and final MELD were significantly correlated with 30-day survival rate among the study population (P < 0.05 for all). Multivariate analysis suggested that appropriate antibiotic treatment within 48 h (HR = 2.581, 95% CI = 1.166–5.715, P = 0.019), ICU admission (HR = 4.434, 95% CI = 2.130–8.823, P = 0.000), HE (HR = 2.379, 95% CI = 1.115–5.073, P = 0.025) and final MELD (HR = 1.074, 95% CI = 1.044–1.106, P = 0.000) were independent indicators for 30-day mortality in liver cirrhotic patients (Table 5).
Table 5

Risk factors for 30-day mortality in cirrhosis patients

FactorsUnivariate analysesMultivariate analyses
HR (95% CI)PHR (95% CI)P
ESBL (positive vs negative)0.943 (0.481–1.849)0.864--
Hospital-acquired BSI (yes vs no)1.006 (0.507–1.994)0.987--
Sensitive to the firstly selected antibiotic (resistant vs sensitive)1.608 (0766–3.379)0.209--
Appropriate empiric therapy within 48 h (no vs yes)3.173 (1.514–6.647)0.0022.581 (1.166–5.715)0.019
ICU admission (yes vs no)4.578 (2.323–9.020)0.0004.434 (2.130–8.823)0.000
Gender (male vs female)0.954 (0.456–1.995)0.900--
Age1.011 (0.982–1.041)0.453--
Combined with HCC (yes vs no)1.239 (0.578–2.658)0.582--
HE (yes vs no)2.320 (1.161–4.635)0.0172.379 (1.115–5.073)0.025
SBP (yes vs no)1.167 (0.594–2.294)0.654--
Pneumonia (yes vs no)3.755 (1.750–8.054)0.001--
Child-Pugh grade (C vs A+B)2.165 (0.979–4.785)0.056--
Septic shock (yes vs no)3.116 (1.582–6.139)0.001--
MELD at onset of BSI1.065 (1.019–1.114)0.006--
Final MELD1.073 (1.044–1.102)0.0001.074 (1.044–1.106)0.000

Note: ICU: Intensive care unit; HE: Hepatic encephalopathy; MELD: Model for end-stage liver diseases; Final MELD: detected at discharged; -: indicated no related data.

Note: ICU: Intensive care unit; HE: Hepatic encephalopathy; MELD: Model for end-stage liver diseases; Final MELD: detected at discharged; -: indicated no related data.

DISCUSSION

Liver cirrhosis is a major healthy problems worldwide, and the critical complications resulted from cirrhosis are the leading reasons for ICU admission among the patients [22]. Liver cirrhosis can cause multiple organs failure, including liver, heart, lung, kidney, as well as immune systems [23]. Due to the functional disorder of the organs and immune system, patients with cirrhosis are susceptible to infections. BSI is a common complication for cirrhosis patients. In the present study, we evaluated the clinical characteristics and risk factors for mortality in liver cirrhosis patients with Escherichia coli BSI. 288 cirrhosis patients diagnosed with Escherichia coli BSI were collected in the present study. Among them, the occurrence rate of hospital-acquired BSI was 60.07%. We compared the clinical characteristics between hospital acquired BSI and non-hospital acquired BSI. The results suggested that patients with hospital-acquired BSI had a prolonged hospital stay. Related studies had indicated that hospital-acquired BSI could prolong hospital stay [24]. In addition, several studies indicated that hospital-acquired BSI was significantly associated with high mortality [25, 26]. However, no significant correlation between the sites of acquisition infection and mortality was found in the present study. The differences might be caused by the different medical conditions and pathogens. The effects of the sites of acquisition infection on clinical symptoms were needed to be well investigated in the next study. ESBL production is one of the main cause for antimicrobial resistance in Escherichia coli, which is significantly correlated with therapeutic failures and high mortality [27, 28]. Unfortunately, the prevalence rate of ESBL positive bacteria is increasing. In the present study, 48.26% pathogens were confirmed as ESBL positive Escherichia coli. Drug sensitivity analysis demonstrated that these ESBL positive pathogen had a higher resistant rate to most of the common antibiotics, such as third-generation cephalosporin, quinolone. The liver cirrhosis patients infected by ESBL positive bacteria showed low sensitivity to the firstly selected antibiotics, and were more likely to undergo inappropriate empiric therapy within 48 h. Moreover, based on the drug sensitivity analysis, 27.5% pathogens were confirmed as MDR bacteria. Analysis results suggested that ESBL status, ICU admission, susceptibility to firstly selected antibiotic and appropriate empiric therapy within 48 h were significantly different between MDR infection and non-MDR infection. The result might reveal that patients infected by MDR pathogens were more likely to undergo antibiotic treatments failure and poor survival. It was worthy noting that two of the isolated bacteria were confirmed as CRE in the present study. Currently, CRE became common with high mortality. Moreover, unlike other antibiotic resistance, carapenems resistance was a complex process and mediated by several mechanisms, leading to limited therapeutic effects based on the present antibiotics [29, 30]. Related studies reported that combination antibiotic treatments could significantly reduce the mortality in patients infected with CRE [31]. The optimal antibiotic treatment regimens for CRE were needed to be investigated in further studies. Child-Pugh score and MELD score are based on the specific characteristics of cirrhosis. These scoring standards were simple and widely applied to predict long- and short-time mortality in liver cirrhosis patients, even among those combined with infection [32]. However, accumulating evidences demonstrated that besides of the general scores, the specific parameters about infection severity should also be used to predict outcomes in liver cirrhosis patients combined with BSI [33, 34]. In the current study, Cox regression model was used to evaluate the prognostic value of clinical parameters. The results suggested that empiric therapy within 48 h, ICU admission, HE and final MELD score were independent biomarkers for prognosis in liver cirrhosis patients presenting Escherichia coli BSI. In the previous studies, several factors were confirmed as prognostic markers for liver cirrhosis patients combined with BSI, including MELD score, SBP as BSI source, appropriate antibiotic treatments, HE, and so on [35, 36]. All these indicators could help identify the high-risk individuals as soon as possible, thereby the therapeutic regimens were adjusted to improve clinical outcomes. It was noted that cirrhosis patients who were admitted to ICU, with high MELD or presented HE had a complex disease process and several factors might contribute to their mortality besides of infection. Therefore, novel prognostic systems combined with general and specific characteristics were needed to predict prognosis in liver cirrhosis patients combined with Escherichia coli BSI. In conclusion, ESBL production is an important influencing factor for antibiotic resistance in Escherichia coli and patients carrying ESBL producing pathogens are more likely admitted to ICU ward, with worse MELD score. In addition, ICU admission, HE, MELD score and empiric therapy within 48h are independent predictors for outcomes in cirrhosis patients with Escherichia coli BSI. The present study may be useful for therapy of Escherichia coli BSI in patients with liver cirrhosis.

MATERIALS AND METHODS

Study subjects

The present study was a retrospective and observational study. The liver cirrhosis patients developing to Escherichia coli BSI during the period of hospitalization in Beijing 302 Hospital from May 2009 to September 2014 were collected in the study. The collected patients should meet the following criterion: (1) The study subjects were adult group; (2) All of the patients were diagnosed with decompensated liver cirrhosis; (3) All of the patients were infected with single Escherichia coli. And no other pathogens were isolated from the infection specimens; (4) The clinical characteristics of the patients were available. For cases who developed multiple BSIs during the study period, only the first BSI episode was included in the analysis.

Data collection

The collected patients were pathologically diagnosed with liver cirrhosis and presented BSI during the study period. The demographics characteristics including gender and age, hospitalization information, pathogenesis and severity degree of the disease according to Child-Pugh and MELD scores [37, 38], complications during the hospital stay, baseline characteristics of BSI, and outcomes at discharged were recorded in the present study. In addition, the results of drug sensitivity test and empirical antibiotic regimen were also recorded. 30-day mortality was used to measure the primary outcomes of the collected patients. The patients developed BSI over 48 h after hospital admission were considered as hospital acquired. MELD scores were respectively recorded at the time of hospital admission, onset of infection and discharged.

Antimicrobial susceptibility testing

Antimicrobial susceptibility of ESBL producing Escherichia coli isolates tested by disk diffusion method and interpreted according to Clinical Laboratories Standards Institute (CLSI) criteria [39]. The antimicrobials tested were cefoperazone, ceftriaxone, cefepime, cefotaxime, ceftazidime, levofloxacin, gatifloxacin, piperacillin, SMZCO, aztreonam, fosfomycin, furadantin, ticarcillin/clavulanate potassium potassiumand, ampicillin, cefoperazone-sulbactam, cefmetazon, meropenem, amikacin, minocycline, and piperacillin/tazobactam. Escherichia coli ATCC 25922 were used as negative control. The isolates that were resistant to three or more antimicrobial from different classes were defined as MDR.

Statistical analysis

The continuous variables were presented as mean ± SD and analyzed by student’s t test. Chi-square test was applied to analyze the categorical variables. The clinical characteristics of the collected patients were compared according to the sites of acquisition infection, survival status, as well as the status of ESBLs of their blood cultures. Kaplan-Meier curve was performed to assess the survival of patients with different antibiotics treatment. Cox regression analysis was used to evaluate the independent risk factors for 30-day BSI mortality in cirrhotic patients. The analyses were performed with SPSS 18.0 software (SPSS Inc., Chicago, IL, USA) and P value less than 0.05 was considered statistically significant.
  36 in total

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Authors:  Vincenzo La Mura; Armando Tripodi; Giulia Tosetti; Flaminia Cavallaro; Veena Chantarangkul; Massimo Colombo; Massimo Primignani
Journal:  Liver Int       Date:  2016-03-31       Impact factor: 5.828

4.  Infections in patients with cirrhosis increase mortality four-fold and should be used in determining prognosis.

Authors:  Vasiliki Arvaniti; Gennaro D'Amico; Giuseppe Fede; Pinelopi Manousou; Emmanuel Tsochatzis; Maria Pleguezuelo; Andrew Kenneth Burroughs
Journal:  Gastroenterology       Date:  2010-06-14       Impact factor: 22.682

Review 5.  A model to predict survival in patients with end-stage liver disease.

Authors:  P S Kamath; R H Wiesner; M Malinchoc; W Kremers; T M Therneau; C L Kosberg; G D'Amico; E R Dickson; W R Kim
Journal:  Hepatology       Date:  2001-02       Impact factor: 17.425

6.  Model for end-stage liver disease score and systemic inflammatory response are major prognostic factors in patients with cirrhosis and acute functional renal failure.

Authors:  Dominique Thabut; Julien Massard; Alice Gangloff; Nicolas Carbonell; Claire Francoz; Eric Nguyen-Khac; Christian Duhamel; Didier Lebrec; Thierry Poynard; Richard Moreau
Journal:  Hepatology       Date:  2007-12       Impact factor: 17.425

Review 7.  Acute Kidney Injury in Cirrhosis.

Authors:  Constantine J Karvellas; Francois Durand; Mitra K Nadim
Journal:  Crit Care Clin       Date:  2015-08-05       Impact factor: 3.598

8.  Hepatic IGF-1R overexpression combined with the activation of GSK-3β and FOXO3a in the development of liver cirrhosis.

Authors:  Wentao Liu; Jing Li; Yan Cai; Qiong Wu; Yue Pan; Yang Chen; Yujing Chen; Xiao Zheng; Wei Li; Xuewen Zhang; Changyong E
Journal:  Life Sci       Date:  2016-01-26       Impact factor: 5.037

9.  Quantifying the Burden of Hospital-Acquired Bloodstream Infection in Children in England by Estimating Excess Length of Hospital Stay and Mortality Using a Multistate Analysis of Linked, Routinely Collected Data.

Authors:  N Green; A P Johnson; K L Henderson; B Muller-Pebody; S Thelwall; J V Robotham; M Sharland; M Wolkewitz; S R Deeny
Journal:  J Pediatric Infect Dis Soc       Date:  2014-07-22       Impact factor: 3.164

10.  A profile of volatile organic compounds in exhaled air as a potential non-invasive biomarker for liver cirrhosis.

Authors:  Kirsten E Pijls; Agnieszka Smolinska; Daisy M A E Jonkers; Jan W Dallinga; Ad A M Masclee; Ger H Koek; Frederik-Jan van Schooten
Journal:  Sci Rep       Date:  2016-01-29       Impact factor: 4.379

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  2 in total

1.  Feasibility and safety of laparoscopic approach in obese patients with endometriosis: a multivariable regression analysis.

Authors:  Diego Raimondo; Ivano Raimondo; Eugenia Degli Esposti; Giulia Mattioli; Manuela Mastronardi; Marco Petrillo; Salvatore Dessole; Mohamed Mabrouk; Simona Del Forno; Alessandro Arena; Giulia Borghese; Renato Seracchioli
Journal:  Arch Gynecol Obstet       Date:  2020-06-06       Impact factor: 2.344

2.  Bloodstream Infections Caused by Extended-Spectrum Beta-Lactamase-Producing Escherichia coli in Patients with Liver Cirrhosis.

Authors:  Wen-Chi Chen; Chih-Hsin Hung; Yao-Shen Chen; Jin-Shiung Cheng; Susan Shin-Jung Lee; Fan-Chen Tseng; Ming-Fang Cheng; Jiun-Ling Wang
Journal:  Pathogens       Date:  2021-01-05
  2 in total

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