A starry sky liver: Klebsiella pneumoniae septic shock caused by infected multiple biliary hamartomas

SummaryRats which were infected with the gramnegative pathogen Klebsiella pneumoniae develop disseminated intravascular coagulation (DIC), multi-organ failure (MOF) and finally die in a septic shock. We investigated the therapeutic effect of antibiotic (tobramycin) treatment combined with the infusion of the highly specific thrombin inhibitor rec. hirudin. Although administration of 2 mg/kg tobramycin alone leads to a decrease of the bacterial burden, DIC could not be prevented. Infusion of rec. hirudin (0.25 mg/kg x h) for 4 h (start of treatment 1 h post infection), in addition to a bolus administration of tobramycin, led to an amelioration of DIC parameters as fibrinogen, thrombin-antithrombin complex (TAT) and platelets. Serum transaminase levels (GOT, GPT) as a marker of MOF were significantly improved by rec. hirudin, the T50 value increased from 17 h in the tobramycin group to 42 h in the tobramycin + rec. hirudin giuup, muilality rates were 90% or 60%, respectively. Combination of heparin (10011/kg x h) and tobramycin was not effective on survival.

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Mortality of Pandrug-Resistant Klebsiella pneumoniae Bloodstream Infections in Critically Ill Patients: A Retrospective Cohort of 115 Episodes

Antibiotics ◽

10.3390/antibiotics10010076 ◽

2021 ◽

Vol 10 (1) ◽

pp. 76

Author(s):

Matthaios Papadimitriou-Olivgeris ◽

Christina Bartzavali ◽

Alexandra Georgakopoulou ◽

Fevronia Kolonitsiou ◽

Chrisavgi Papamichail ◽

...

Keyword(s):

Septic Shock ◽

Klebsiella Pneumoniae ◽

Critically Ill ◽

Critically Ill Patients ◽

Primary Outcome ◽

Bloodstream Infections ◽

Microdilution Method ◽

Broth Microdilution Method ◽

Carbapenemase Gene ◽

Comorbidity Index

Background: The increased frequency of bacteraemias caused by pandrug-resistant Klebsiella pneumoniae (PDR-Kp) has significant implications. The aim of the present study was to identify predictors associated with mortality of PDR-Kp bacteraemias. Methods: Patients with monomicrobial bacteraemia due to PDR-Kp were included. K. pneumoniae was considered PDR if it showed resistance to all available groups of antibiotics. Primary outcome was 30-day mortality. Minimum inhibitory concentrations (MICs) of meropenem, tigecycline, fosfomycin, and ceftazidime/avibactam were determined by Etest, whereas for colistin, the broth microdilution method was applied. blaKPC, blaVIM, blaNDM, and blaOXA genes were detected by PCR. Results: Among 115 PDR-Kp bacteraemias, the majority of infections were primary bacteraemias (53; 46.1%), followed by catheter-related (35; 30.4%). All isolates were resistant to tested antimicrobials. blaKPC was the most prevalent carbapenemase gene (98 isolates; 85.2%). Thirty-day mortality was 39.1%; among 51 patients with septic shock, 30-day mortality was 54.9%. Multivariate analysis identified the development of septic shock, Charlson comorbidity index, and bacteraemia other than primary or catheter-related as independent predictors of mortality, while a combination of at least three antimicrobials was identified as an independent predictor of survival. Conclusions: Mortality of PDR-Kp bloodstream infections was high. Administration of at least three antimicrobials might be beneficial for infections in critically ill patients caused by such pathogens.

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Disease Severity Is an Independent Risk Factor of Mortality and Outcomes in Critically Ill Patients With Carbapenem-resistant Klebsiella Pneumoniae Bloodstream Infections: a 5-year Retrospective Analysis

10.21203/rs.3.rs-658252/v1 ◽

2021 ◽

Author(s):

Yuzhen Qiu ◽

Wen Xu ◽

Yunqi Dai ◽

Ruoming Tan ◽

Jialin Liu ◽

...

Keyword(s):

Risk Factors ◽

Septic Shock ◽

Klebsiella Pneumoniae ◽

Critically Ill Patients ◽

Bloodstream Infections ◽

Polymyxin B ◽

Mortality Rates ◽

Carbapenem Resistant ◽

All Cause Mortality ◽

Independent Risk Factors

Abstract Background: Carbapenem-resistant Klebsiella pneumoniae bloodstream infections (CRKP-BSIs) are associated with high morbidity and mortality rates, especially in critically ill patients. Comprehensive mortality risk analyses and therapeutic assessment in real-world practice are beneficial to guide individual treatment.Methods: We retrospectively analyzed 87 patients with CRKP-BSIs (between July 2016 and June 2020) to identify the independent risk factors for 28-day all-cause mortality. The therapeutic efficacies of tigecycline-and polymyxin B-based therapies were analyzed.Results: The 28-day all-cause mortality and in-hospital mortality rates were 52.87% and 67.82%, respectively, arising predominantly from intra-abdominal (56.32%) and respiratory tract infections (21.84%). A multivariate analysis showed that 28-day all-cause mortality was independently associated with the patient’s APACHE II score (p = 0.002) and presence of septic shock at BSI onset (p = 0.006). All-cause mortality was not significantly different between patients receiving tigecycline- or polymyxin B-based therapy (55.81% vs. 53.85%, p = 0.873), and between subgroups mortality rates were also similar. Conclusions: Critical illness indicators (APACHE II scores and presence of septic shock at BSI onset) were independent risk factors for 28-day all-cause mortality. There was no significant difference between tigecycline- and polymyxin B-based therapy outcomes. Prompt and appropriate infection control should be implemented to prevent CRKP infections.

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Cure of recurring Klebsiella pneumoniae carbapenemase-producing Klebsiella pneumoniae septic shock episodes due to complicated soft tissue infection using a ceftazidime and avibactam-based regimen: a case report

Journal of Medical Case Reports ◽

10.1186/s13256-018-1934-2 ◽

2019 ◽

Vol 13 (1) ◽

Cited By ~ 2

Author(s):

Giustino Parruti ◽

Antonella Frattari ◽

Ennio Polilli ◽

Vincenzo Savini ◽

Antonina Sciacca ◽

...

Keyword(s):

Septic Shock ◽

Case Report ◽

Soft Tissue ◽

Klebsiella Pneumoniae ◽

Soft Tissue Infection ◽

Tissue Infection ◽

Klebsiella Pneumoniae Carbapenemase

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Predictors of outcome in ICU patients with septic shock caused by Klebsiella pneumoniae carbapenemase–producing K. pneumoniae

Clinical Microbiology and Infection ◽

10.1016/j.cmi.2016.01.016 ◽

2016 ◽

Vol 22 (5) ◽

pp. 444-450 ◽

Cited By ~ 65

Author(s):

M. Falcone ◽

A. Russo ◽

A. Iacovelli ◽

G. Restuccia ◽

G. Ceccarelli ◽

...

Keyword(s):

Septic Shock ◽

Klebsiella Pneumoniae ◽

Predictors Of Outcome ◽

Icu Patients ◽

Klebsiella Pneumoniae Carbapenemase

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Machine Learning Algorithms to Predict the Mortality of Carbapenem Resistant Klebsiella Pneumoniae bacteremia

10.21203/rs.2.18733/v1 ◽

2019 ◽

Author(s):

Qiqiang Liang ◽

Fang Qian ◽

Yibing Chen ◽

Zhijun Xu ◽

Zhijiang Xu ◽

...

Keyword(s):

Machine Learning ◽

Risk Factors ◽

Septic Shock ◽

High Risk ◽

Klebsiella Pneumoniae ◽

Severe Thrombocytopenia ◽

Acute Renal Injury ◽

High Risk Factors ◽

Carbapenem Resistant ◽

Logical Regression

Abstract Purpose To establish mortality prediction models in 14 days of Carbapenem-Resistant Klebsiella Pneumoniae bacteremia using Machine learning.Materials and Methods It is a single-center retrospective study. We collect the relevant clinical information of all patients with Carbapenem-Resistant Klebsiella Pneumoniae (CRKP) bacteremia in the past 5 years using the local database. Data analysis and verification are carried out by multiple logical regression, decision tree, random forest, support vector machine (SVM), and XGBoost.Result This study includes 187 patients with 40 related variables. In multiple logical regression, acute renal injury (P=0.003), Apache II score (P=0.036), immunodeficiency (P=0.025), severe thrombocytopenia (P=0.025) and septic shock (P=0.044) are the high-risk factors for 14 days mortality of CRKP bloodstream infections. According to the importance of those parameters, risk scoring is established to predict the survival rate of CRKP bacteremia. The analysis of the five models, with 70% training set and 30% test set, show the comprehensive performance of random forest (AUROC=0.953, precision=91.85%) is slightly better than that of XGBoost (AUROC=0.912, precision=86.41%) and SVM (AUROC=0.936, precision=79.89%) in predicting 14-day mortality of CRKP bacteremia. The multiple logical regression model (AUROC=0.825, precision=81.52%) is the second, and the decision tree model (AUROC=0.712, precision=79.89%) is not very ideal.Conclusion Machine learning has good performances in predicting 14-day mortality of CRKP bacteremia than multiple logical regression. Acute renal injury, severe thrombocytopenia, and septic shock are the high-risk factors of CRKP bacteremia mortality.

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